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https://api.github.com/repos/huggingface/datasets/issues/6303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6303/comments | https://api.github.com/repos/huggingface/datasets/issues/6303/events | https://github.com/huggingface/datasets/issues/6303 | 1,943,466,532 | I_kwDODunzps5z1vIk | 6,303 | Parquet uploads off-by-one naming scheme | {
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"You can find the reasoning behind this naming scheme [here](https://github.com/huggingface/transformers/pull/16343#discussion_r931182168).\r\n\r\nThis point has been raised several times, so I'd be okay with starting with `00001-` (also to be consistent with the `transformers` sharding), but I'm not sure @lhoestq ... | 2023-10-14T18:31:03Z | 2023-10-16T16:33:21Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
I noticed this numbering scheme not matching up in a different project and wanted to raise it as an issue for discussion, what is the actual proper way to have these stored?
<img width="425" alt="image" src="https://github.com/huggingface/datasets/assets/1981179/3ffa2144-7c9a-446f-b521-a5e9db71... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6302/comments | https://api.github.com/repos/huggingface/datasets/issues/6302/events | https://github.com/huggingface/datasets/issues/6302 | 1,942,096,078 | I_kwDODunzps5zwgjO | 6,302 | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size` | {
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"`writer._num_bytes` is updated every `writer_batch_size`-th call to the `write` method (default `writer_batch_size` is 1000 (examples)). You should be able to see the update by passing a smaller `writer_batch_size` to the `load_dataset_builder`.\r\n\r\nWe could improve this by supporting the string `writer_batch_s... | 2023-10-13T14:43:36Z | 2023-10-17T06:52:12Z | 2023-10-17T06:52:11Z | NONE | null | null | null | null | ### Describe the bug
An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
The reason f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6299/comments | https://api.github.com/repos/huggingface/datasets/issues/6299/events | https://github.com/huggingface/datasets/issues/6299 | 1,939,649,238 | I_kwDODunzps5znLLW | 6,299 | Support for newer versions of JAX | {
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Hi,
I like your idea of adapting the datasets library to be usable with JAX. Thank you for that.
However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome !
What is the rationale for such a lim... | {
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https://api.github.com/repos/huggingface/datasets/issues/6294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6294/comments | https://api.github.com/repos/huggingface/datasets/issues/6294/events | https://github.com/huggingface/datasets/issues/6294 | 1,937,359,605 | I_kwDODunzps5zecL1 | 6,294 | IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset | {
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"It looks to be the same issue as the one reported in https://discuss.huggingface.co/t/indexerror-invalid-key-16-is-out-of-bounds-for-size-0.\r\n\r\nCan you check the length of `train_dataset` before the `train_sampler = self._get_train_sampler()` (and after `_remove_unused_columns`) line?"
] | 2023-10-11T09:59:38Z | 2023-10-17T11:24:06Z | 2023-10-17T11:24:06Z | NONE | null | null | null | null | ### Describe the bug
I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries.
### Step... | {
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```
Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=... | {
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https://api.github.com/repos/huggingface/datasets/issues/6292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6292/comments | https://api.github.com/repos/huggingface/datasets/issues/6292/events | https://github.com/huggingface/datasets/issues/6292 | 1,937,050,470 | I_kwDODunzps5zdQtm | 6,292 | how to load the image of dtype float32 or float64 | {
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"Hi! Can you provide a code that reproduces the issue?\r\n\r\nAlso, which version of `datasets` are you using? You can check this by running `python -c \"import datasets; print(datasets.__version__)\"` inside the env. We added support for \"float images\" in `datasets 2.9`."
] | 2023-10-11T07:27:16Z | 2023-10-11T13:19:11Z | null | NONE | null | null | null | null | _FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6291 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6291/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6291/comments | https://api.github.com/repos/huggingface/datasets/issues/6291/events | https://github.com/huggingface/datasets/issues/6291 | 1,936,129,871 | I_kwDODunzps5zZv9P | 6,291 | Casting type from Array2D int to Array2D float crashes | {
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"Thanks for reporting! I've opened a PR with a fix"
] | 2023-10-10T20:10:10Z | 2023-10-13T13:45:31Z | 2023-10-13T13:45:31Z | NONE | null | null | null | null | ### Describe the bug
I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error :
```
Traceback (most recent call last):
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"Yea I think waiting for #6269 would be best, or branching from it. For reference, this [PR](https://github.com/LAION-AI/Discord-Scrapers/pull/2) is progressing pretty well which will do similar using the hf hub for our LAION dataset bot https://github.com/LAION-AI/Discord-Scrapers/pull/2. ",
"Is there any update... | 2023-10-10T15:18:03Z | 2025-08-13T12:55:28Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Have the possibility to do `ds.push_to_hub(..., append=True)`.
### Motivation
Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and
this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675... | null | {
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"A duplicate of https://github.com/huggingface/datasets/issues/4796.\r\n\r\nWe could get this for free by implementing the `Image` feature as an extension type, as shown in [this](https://colab.research.google.com/drive/1Uzm_tXVpGTwbzleDConWcNjacwO1yxE4?usp=sharing) Colab (example with UUIDs).\r\n",
"+1 to this\r... | 2023-10-10T10:29:16Z | 2024-11-29T16:35:30Z | null | MEMBER | null | null | null | null | Currently type inference doesn't know what to do with a Pandas Series of PIL.Image objects, though it would be nice to get a Dataset with the Image type this way | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6287/comments | https://api.github.com/repos/huggingface/datasets/issues/6287/events | https://github.com/huggingface/datasets/issues/6287 | 1,932,758,192 | I_kwDODunzps5zM4yw | 6,287 | map() not recognizing "text" | {
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"There is no \"text\" column in the `amazon_reviews_multi`, hence the `KeyError`. You can get the column names by running `dataset.column_names`."
] | 2023-10-09T10:27:30Z | 2023-10-11T20:28:45Z | 2023-10-11T20:28:45Z | NONE | null | null | null | null | ### Describe the bug
The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in my code as:
`tokenizedData... | {
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https://api.github.com/repos/huggingface/datasets/issues/6285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6285/comments | https://api.github.com/repos/huggingface/datasets/issues/6285/events | https://github.com/huggingface/datasets/issues/6285 | 1,932,306,325 | I_kwDODunzps5zLKeV | 6,285 | TypeError: expected str, bytes or os.PathLike object, not dict | {
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"You should be able to load the images by modifying the `load_dataset` call like this:\r\n```python\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/content/datasets/PotholeDetectionYOLOv8-1\")\r\n```\r\n\r\nThe `imagefolder` builder expects the image files to be in `path/label/image_file` (e.g. .`.../train/d... | 2023-10-09T04:56:26Z | 2023-10-10T13:17:33Z | null | NONE | null | null | null | null | ### Describe the bug
my dataset is in form : train- image /n -labels
and tried the code:
```
from datasets import load_dataset
data_files = {
"train": "/content/datasets/PotholeDetectionYOLOv8-1/train/",
"validation": "/content/datasets/PotholeDetectionYOLOv8-1/valid/",
"test": "/content/dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6284/comments | https://api.github.com/repos/huggingface/datasets/issues/6284/events | https://github.com/huggingface/datasets/issues/6284 | 1,929,551,712 | I_kwDODunzps5zAp9g | 6,284 | Add Belebele multiple-choice machine reading comprehension (MRC) dataset | {
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"This dataset is already available on the Hub: https://huggingface.co/datasets/facebook/belebele.\r\n"
] | 2023-10-06T06:58:03Z | 2023-10-06T13:26:51Z | 2023-10-06T13:26:51Z | NONE | null | null | null | null | ### Feature request
Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short pass... | {
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https://api.github.com/repos/huggingface/datasets/issues/6280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6280/comments | https://api.github.com/repos/huggingface/datasets/issues/6280/events | https://github.com/huggingface/datasets/issues/6280 | 1,928,215,278 | I_kwDODunzps5y7jru | 6,280 | Couldn't cast array of type fixed_size_list to Sequence(Value(float64)) | {
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"Thanks for reporting! I've opened a PR with a fix.",
"Thanks for the quick response @mariosasko! I just installed your branch via `poetry add 'git+https://github.com/huggingface/datasets#fix-array_values'` and I can confirm it works on the example provided.\r\n\r\nFollow up question for you, should `None`s be s... | 2023-10-05T12:48:31Z | 2024-02-06T19:24:20Z | 2024-02-06T19:24:20Z | NONE | null | null | null | null | ### Describe the bug
I have a dataset with an embedding column, when I try to map that dataset I get the following exception:
```
Traceback (most recent call last):
File "/Users/jmif/.virtualenvs/llm-training/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3189, in map
for rank, done, content... | {
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https://api.github.com/repos/huggingface/datasets/issues/6279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6279/comments | https://api.github.com/repos/huggingface/datasets/issues/6279/events | https://github.com/huggingface/datasets/issues/6279 | 1,928,028,226 | I_kwDODunzps5y62BC | 6,279 | Batched IterableDataset | {
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"This is exactly what I was looking for. It would also be very useful for me :-)",
"This issue is really smashing the selling point of HF datasets... The only workaround I've found so far is to create a customized IterableDataloader which improves the loading speed to some extent.\r\n\r\nFor example I've a HF dat... | 2023-10-05T11:12:49Z | 2024-11-07T10:01:22Z | null | NONE | null | null | null | null | ### Feature request
Hi,
could you add an implementation of a batched `IterableDataset`. It already support an option to do batch iteration via `.iter(batch_size=...)` but this cannot be used in combination with a torch `DataLoader` since it just returns an iterator.
### Motivation
The current implementation load... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6277 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6277/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6277/comments | https://api.github.com/repos/huggingface/datasets/issues/6277/events | https://github.com/huggingface/datasets/issues/6277 | 1,927,044,546 | I_kwDODunzps5y3F3C | 6,277 | FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub either. | {
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"`evaluate.load(\"paws-x\", \"es\")` throws the error because there is no such metric in the `evaluate` lib.\r\n\r\nSo, this is unrelated to our lib."
] | 2023-10-04T22:01:25Z | 2023-10-08T17:05:46Z | 2023-10-08T17:05:46Z | NONE | null | null | null | null | ### Describe the bug
I'm encountering a "FileNotFoundError" while attempting to use the "paws-x" dataset to retrain the DistilRoBERTa-base model. The error message is as follows:
FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub eit... | {
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https://api.github.com/repos/huggingface/datasets/issues/6276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6276/comments | https://api.github.com/repos/huggingface/datasets/issues/6276/events | https://github.com/huggingface/datasets/issues/6276 | 1,925,961,878 | I_kwDODunzps5yy9iW | 6,276 | I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error | {
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"Since you are using Windows, maybe moving the `map` call inside `if __name__ == \"__main__\"` can fix the issue:\r\n```python\r\nif __name__ == \"__main__\":\r\n common_voice = common_voice.map(prepare_dataset, remove_columns=common_voice.column_names[\"train\"], num_proc=4)\r\n```\r\n\r\nOtherwise, the only s... | 2023-10-04T11:03:41Z | 2023-11-27T10:39:16Z | null | NONE | null | null | null | null | ### Describe the bug
I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error, i'm following the steps in this blog post
https://huggingface.co/blog/fine-tune-whisper
I tried google collab and it works but because I'm on the free version the training ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6275/comments | https://api.github.com/repos/huggingface/datasets/issues/6275/events | https://github.com/huggingface/datasets/issues/6275 | 1,921,354,680 | I_kwDODunzps5yhYu4 | 6,275 | Would like to Contribute a dataset | {
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"Hi! The process of contributing a dataset is explained here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingface.co/docs/datasets/image_dataset for a more detailed explanation of how to share an image dataset."
] | 2023-10-02T07:00:21Z | 2023-10-10T16:27:54Z | 2023-10-10T16:27:54Z | NONE | null | null | null | null | I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community | {
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https://api.github.com/repos/huggingface/datasets/issues/6274 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6274/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6274/comments | https://api.github.com/repos/huggingface/datasets/issues/6274/events | https://github.com/huggingface/datasets/issues/6274 | 1,921,036,328 | I_kwDODunzps5ygLAo | 6,274 | FileNotFoundError for dataset with multiple builder config | {
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"Please tell me if the above info is not enough for solving the problem. I will then make my dataset public temporarily so that you can really reproduce the bug. ",
"Hi! \r\nCould you share how to solve this problem? \r\nI faced this same error. "
] | 2023-10-01T23:45:56Z | 2024-08-14T04:42:02Z | 2023-10-02T20:09:38Z | NONE | null | null | null | null | ### Describe the bug
When there is only one config and only the dataset name is entered when using datasets.load_dataset(), it works fine. But if I create a second builder_config for my dataset and enter the config name when using datasets.load_dataset(), the following error will happen.
FileNotFoundError: [Errno 2... | {
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"This has already been reported in the HF Course repo (https://github.com/huggingface/course/issues/623).",
"@lhoestq @albertvillanova @lewtun I don't think we are allowed to host these data files on the Hub (due to DMCA), which means the only option is to use a different dataset in the course (and to re-record t... | 2023-10-01T19:08:48Z | 2024-04-28T02:30:42Z | null | NONE | null | null | null | null | ### Describe the bug
The link provided for the dataset is broken,
data_files =
[https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst](url)
The
### Steps to reproduce the bug
Steps to reproduce:
1) Head over to [https://huggingface.co/learn/nlp-course/chapt... | null | {
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"Also reported in https://github.com/huggingface/datasets/issues/6259",
"I think it's best to drop duplicates with a `set` (as a temporary fix) and improve the patterns when/if https://github.com/fsspec/filesystem_spec/pull/1382 gets merged. @lhoestq Do you have some other ideas?",
"Alternatively we could just... | 2023-10-01T15:43:56Z | 2024-03-15T15:22:05Z | 2024-03-15T15:22:05Z | MEMBER | null | null | null | null | e.g. with `u23429/stock_1_minute_ticker`
```ipython
In [1]: from datasets import *
In [2]: b = load_dataset_builder("u23429/stock_1_minute_ticker")
Downloading readme: 100%|██████████████████████████| 627/627 [00:00<00:00, 246kB/s]
In [3]: b.config.data_files
Out[3]:
{NamedSplit('train'): ['hf://datasets/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6271/comments | https://api.github.com/repos/huggingface/datasets/issues/6271/events | https://github.com/huggingface/datasets/issues/6271 | 1,920,420,295 | I_kwDODunzps5yd0nH | 6,271 | Overwriting Split overwrites data but not metadata, corrupting dataset | {
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I want to be able to overwrite/update/delete splits in my dataset. Currently the only way to do is to manually go into the dataset and delete the split. If I try to overwrite programmatically I end up in an error state and (somewhat) corrupting the dataset. Read below.
**Current Behavior**
Whe... | {
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https://api.github.com/repos/huggingface/datasets/issues/6270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6270/comments | https://api.github.com/repos/huggingface/datasets/issues/6270/events | https://github.com/huggingface/datasets/issues/6270 | 1,920,329,373 | I_kwDODunzps5ydead | 6,270 | Dataset.from_generator raises with sharded gen_args | {
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"`gen_kwargs` should be a `dict`, as stated in the docstring, but you are passing a `list`.\r\n\r\nSo, to fix the error, replace the list of dicts with a dict of lists (and slightly modify the generator function):\r\n```python\r\nfrom pathlib import Path\r\nimport datasets\r\n\r\ndef process_yaml(files):\r\n for... | 2023-09-30T16:50:06Z | 2023-10-11T20:29:12Z | 2023-10-11T20:29:11Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
According to the docs of Datasets.from_generator:
```
gen_kwargs(`dict`, *optional*):
Keyword arguments to be passed to the `generator` callable.
You can define a sharded dataset by passing the list of shards in `gen_kwargs`.
```
So I'd expect that if gen_kwar... | {
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https://api.github.com/repos/huggingface/datasets/issues/6267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6267/comments | https://api.github.com/repos/huggingface/datasets/issues/6267/events | https://github.com/huggingface/datasets/issues/6267 | 1,916,443,262 | I_kwDODunzps5yOpp- | 6,267 | Multi label class encoding | {
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"You can use a `Sequence(ClassLabel(...))` feature type to represent a list of labels, and `cast_column`/`cast` to perform the \"string to label\" conversion (`class_encode_column` does support nested fields), e.g., in your case:\r\n```python\r\nfrom datasets import Dataset, Sequence, ClassLabel\r\ndata = {\r\n ... | 2023-09-27T22:48:08Z | 2023-10-26T18:46:08Z | null | NONE | null | null | null | null | ### Feature request
I have a multi label dataset and I'd like to be able to class encode the column and store the mapping directly in the features just as I can with a single label column. `class_encode_column` currently does not support multi labels.
Here's an example of what I'd like to encode:
```
data = {
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https://api.github.com/repos/huggingface/datasets/issues/6263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6263/comments | https://api.github.com/repos/huggingface/datasets/issues/6263/events | https://github.com/huggingface/datasets/issues/6263 | 1,914,951,043 | I_kwDODunzps5yI9WD | 6,263 | CI is broken: ImportError: cannot import name 'context' from 'tensorflow.python' | {
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See: https://github.com/huggingface/datasets/actions/runs/6322990957/job/17169678812?pr=6262
```
FAILED tests/test_py_utils.py::TempSeedTest::test_tensorflow - ImportError: cannot import name 'context' from 'tensorflow.python' (/opt/hostedtoolcache/Python/3.10.13/x64/li... | {
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https://api.github.com/repos/huggingface/datasets/issues/6261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6261/comments | https://api.github.com/repos/huggingface/datasets/issues/6261/events | https://github.com/huggingface/datasets/issues/6261 | 1,913,813,178 | I_kwDODunzps5yEni6 | 6,261 | Can't load a dataset | {
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"I believe is due to the fact that doesn't work with .tgz files.",
"`JourneyDB/JourneyDB` is a gated dataset, so this error means you are not authenticated to access it, either by using an invalid token or by not agreeing to the terms in the dialog on the dataset page.\r\n\r\n> I believe is due to the fact that d... | 2023-09-26T15:46:25Z | 2023-10-05T10:23:23Z | 2023-10-05T10:23:22Z | NONE | null | null | null | null | ### Describe the bug
Can't seem to load the JourneyDB dataset.
It throws the following error:
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[15], line 2
1 # If the dataset is gated/priv... | {
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https://api.github.com/repos/huggingface/datasets/issues/6260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6260/comments | https://api.github.com/repos/huggingface/datasets/issues/6260/events | https://github.com/huggingface/datasets/issues/6260 | 1,912,593,466 | I_kwDODunzps5x_9w6 | 6,260 | REUSE_DATASET_IF_EXISTS don't work | {
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"Hi! Unfortunately, the current behavior is to delete the downloaded data when this error happens. So, I've opened a PR that removes the problematic import to avoid losing data due to `apache_beam` not being installed (we host the preprocessed version of `natual_questions` on the HF GCS, so requiring `apache_beam` ... | 2023-09-26T03:02:16Z | 2023-09-28T18:23:36Z | 2023-09-28T18:23:36Z | NONE | null | null | null | null | ### Describe the bug
I use the following code to download natural_question dataset. Even though I have completely download it, the next time I run this code, the new download procedure will start and cover the original /data/lxy/NQ
config=datasets.DownloadConfig(resume_download=True,max_retries=100,cache_dir=r'/da... | {
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"Thanks for reporting this issue! We should be able to avoid this by making our `glob` patterns more precise. In the meantime, you can load the dataset by directly assigning splits to the data files: \r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset(\"parquet\", data_files={\"train\": \"testin... | 2023-09-25T17:20:54Z | 2024-03-15T15:22:04Z | 2024-03-15T15:22:04Z | NONE | null | null | null | null | ### Describe the bug
When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | {
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https://api.github.com/repos/huggingface/datasets/issues/6257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6257/comments | https://api.github.com/repos/huggingface/datasets/issues/6257/events | https://github.com/huggingface/datasets/issues/6257 | 1,910,741,044 | I_kwDODunzps5x45g0 | 6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | {
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"how is your dataset structured? (file types, how many commits and files are you trying to push, etc)",
"I succeeded in uploading it after several attempts with an hour gap between each attempt (inconvenient but worked). The final dataset is [here](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2), code ... | 2023-09-25T06:11:43Z | 2023-10-16T13:30:49Z | 2023-10-16T13:30:48Z | NONE | null | null | null | null | ### Describe the bug
I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6256/comments | https://api.github.com/repos/huggingface/datasets/issues/6256/events | https://github.com/huggingface/datasets/issues/6256 | 1,910,275,199 | I_kwDODunzps5x3Hx_ | 6,256 | load_dataset() function's cache_dir does not seems to work | {
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"Can you share the error message?\r\n\r\nAlso, it would help if you could check whether `huggingface_hub`'s download behaves the same:\r\n```python\r\nfrom huggingface_hub import snapshot_download\r\nsnapshot_download(\"trec\", repo_type=\"dataset\", cache_dir='/path/to/my/dir)\r\n```\r\n\r\nIn the next major relea... | 2023-09-24T15:34:06Z | 2025-05-14T10:08:53Z | 2024-10-08T15:45:18Z | NONE | null | null | null | null | ### Describe the bug
datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6254/comments | https://api.github.com/repos/huggingface/datasets/issues/6254/events | https://github.com/huggingface/datasets/issues/6254 | 1,909,672,104 | I_kwDODunzps5x00io | 6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | {
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"Answered on the forum: https://discuss.huggingface.co/t/dataset-from-generator-cost-much-more-time-in-vscode-debugging-mode-then-running-mode/56005/2"
] | 2023-09-23T02:07:26Z | 2023-10-03T14:42:53Z | 2023-10-03T14:42:53Z | NONE | null | null | null | null | ### Describe the bug
Hey there,
I’m using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6252/comments | https://api.github.com/repos/huggingface/datasets/issues/6252/events | https://github.com/huggingface/datasets/issues/6252 | 1,906,375,378 | I_kwDODunzps5xoPrS | 6,252 | exif_transpose not done to Image (PIL problem) | {
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"closed_at": null,
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"created_at": "2023-02-13T16:22:42Z",
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"Indeed, it makes sense to do this by default. \r\n\r\nIn the meantime, you can use `.with_transform` to transpose the images when accessing them:\r\n\r\n```python\r\nimport PIL.ImageOps\r\n\r\ndef exif_transpose_transform(batch):\r\n batch[\"image\"] = [PIL.ImageOps.exif_transpose(image) for image in batch[\"imag... | 2023-09-21T08:11:46Z | 2024-03-19T15:29:43Z | 2024-03-19T15:29:43Z | NONE | null | null | null | null | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/6246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6246/comments | https://api.github.com/repos/huggingface/datasets/issues/6246/events | https://github.com/huggingface/datasets/issues/6246 | 1,899,848,414 | I_kwDODunzps5xPWLe | 6,246 | Add new column to dataset | {
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"I think it's an issue with the code.\r\n\r\nSpecifically:\r\n```python\r\ndataset = dataset['train'].add_column(\"/workspace/data\", new_column)\r\n```\r\n\r\nNow `dataset` is the train set with a new column. \r\nTo fix this, you can do:\r\n\r\n```python\r\ndataset['train'] = dataset['train'].add_column(\"/workspa... | 2023-09-17T16:59:48Z | 2023-09-18T16:20:09Z | 2023-09-18T16:20:09Z | NONE | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6242/comments | https://api.github.com/repos/huggingface/datasets/issues/6242/events | https://github.com/huggingface/datasets/issues/6242 | 1,896,899,123 | I_kwDODunzps5xEGIz | 6,242 | Data alteration when loading dataset with unspecified inner sequence length | {
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"While this issue may seem specific, it led to a silent problem in my workflow that took days to diagnose. If this feature is not intended to be supported, an error should be raised when encountering this configuration to prevent such issues.",
"Thanks for reporting! This is a MRE:\r\n\r\n```python\r\nimport pyar... | 2023-09-14T16:12:45Z | 2023-09-19T17:53:18Z | 2023-09-19T17:53:18Z | MEMBER | null | null | null | null | ### Describe the bug
When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
repo_id... | {
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https://api.github.com/repos/huggingface/datasets/issues/6240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6240/comments | https://api.github.com/repos/huggingface/datasets/issues/6240/events | https://github.com/huggingface/datasets/issues/6240 | 1,895,723,888 | I_kwDODunzps5w_nNw | 6,240 | Dataloader stuck on multiple GPUs | {
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"What type of dataset are you using in this script? `torch.utils.data.Dataset` or `datasets.Dataset`? Please share the `datasets` package version if it's the latter. Otherwise, it's better to move this issue to the `accelerate` repo.",
"Very sorry, I thought I had a repo in `accelerate!`\r\nI will close this issu... | 2023-09-14T05:30:30Z | 2023-09-14T23:54:42Z | 2023-09-14T23:54:42Z | NONE | null | null | null | null | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | {
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https://api.github.com/repos/huggingface/datasets/issues/6239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | https://api.github.com/repos/huggingface/datasets/issues/6239/events | https://github.com/huggingface/datasets/issues/6239 | 1,895,349,382 | I_kwDODunzps5w-LyG | 6,239 | Load local audio data doesn't work | {
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"I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:\r\n```python\r\nadd-apt-repository -y ppa:savoury1/ffmpeg4\r\napt-get -qq install -y ffmpeg\r\n```\r\n\r\nHowever, the best solution is to use a newer version of `datasets`. In the recent re... | 2023-09-13T22:30:01Z | 2023-09-15T14:32:10Z | 2023-09-15T14:32:10Z | NONE | null | null | null | null | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6238/comments | https://api.github.com/repos/huggingface/datasets/issues/6238/events | https://github.com/huggingface/datasets/issues/6238 | 1,895,207,828 | I_kwDODunzps5w9pOU | 6,238 | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | {
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"`filter` treats the function's output as a (selection) mask - `True` keeps the sample, and `False` drops it. In your case, `bool(0)` evaluates to `False`, so dropping the first sample is the correct behavior.",
"Oh gosh! 🤦 I totally misunderstood the API! My apologies!"
] | 2023-09-13T20:20:37Z | 2023-09-17T07:05:07Z | 2023-09-17T07:05:07Z | NONE | null | null | null | null | ### Describe the bug
If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | {
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https://api.github.com/repos/huggingface/datasets/issues/6237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6237/comments | https://api.github.com/repos/huggingface/datasets/issues/6237/events | https://github.com/huggingface/datasets/issues/6237 | 1,893,822,321 | I_kwDODunzps5w4W9x | 6,237 | Tokenization with multiple workers is too slow | {
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"[This](https://huggingface.co/docs/datasets/nlp_process#map) is the most performant way to tokenize a dataset (`batched=True, num_proc=None, return_tensors=\"np\"`) \r\n\r\nIf`tokenizer.is_fast` returns `True`, `num_proc` must be `None/1` to benefit from the fast tokenizers' parallelism (the fast tokenizers are im... | 2023-09-13T06:18:34Z | 2023-09-19T21:54:58Z | 2023-09-19T21:54:58Z | NONE | null | null | null | null | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | {
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https://api.github.com/repos/huggingface/datasets/issues/6236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6236/comments | https://api.github.com/repos/huggingface/datasets/issues/6236/events | https://github.com/huggingface/datasets/issues/6236 | 1,893,648,480 | I_kwDODunzps5w3shg | 6,236 | Support buffer shuffle for to_tf_dataset | {
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"cc @Rocketknight1 ",
"Hey! You can implement this yourself, just:\r\n\r\n1) Create the dataset with `to_tf_dataset()` with `shuffle=False`\r\n2) Add an `unbatch()` at the end (or use batch_size=1)\r\n3) Add a `shuffle()` to the resulting dataset with your desired buffer size\r\n4) Add a `batch()` at the end agai... | 2023-09-13T03:19:44Z | 2023-09-18T01:11:21Z | null | NONE | null | null | null | null | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | https://api.github.com/repos/huggingface/datasets/issues/6235/events | https://github.com/huggingface/datasets/issues/6235 | 1,893,337,083 | I_kwDODunzps5w2gf7 | 6,235 | Support multiprocessing for download/extract nestedly | {
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] | open | false | null | [] | null | [] | 2023-09-12T21:51:08Z | 2023-09-12T21:51:08Z | null | NONE | null | null | null | null | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6229/comments | https://api.github.com/repos/huggingface/datasets/issues/6229/events | https://github.com/huggingface/datasets/issues/6229 | 1,889,050,954 | I_kwDODunzps5wmKFK | 6,229 | Apply inference on all images in the dataset | {
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"From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_path = example['image']` with `image_path = np.array(example['image'])` to fix the issue (`example[\"image\"]` is a `PIL.Image` object). ",
"> From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_... | 2023-09-10T08:36:12Z | 2023-09-20T16:11:53Z | 2023-09-20T16:11:52Z | NONE | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | {
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https://api.github.com/repos/huggingface/datasets/issues/6225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | https://api.github.com/repos/huggingface/datasets/issues/6225/events | https://github.com/huggingface/datasets/issues/6225 | 1,887,054,320 | I_kwDODunzps5weinw | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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"Good catch!"
] | 2023-09-08T06:49:19Z | 2023-09-08T17:52:18Z | 2023-09-08T17:52:17Z | NONE | null | null | null | null | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | {
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https://api.github.com/repos/huggingface/datasets/issues/6221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6221/comments | https://api.github.com/repos/huggingface/datasets/issues/6221/events | https://github.com/huggingface/datasets/issues/6221 | 1,884,324,631 | I_kwDODunzps5wUIMX | 6,221 | Support saving datasets with custom formatting | {
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"Not a fan of pickling this sort of stuff either.\r\nNote that users can also share the code in their dataset documentation."
] | 2023-09-06T16:03:32Z | 2023-09-06T18:32:07Z | null | COLLABORATOR | null | null | null | null | Requested in https://discuss.huggingface.co/t/using-set-transform-on-a-dataset-leads-to-an-exception/53036.
I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6217/comments | https://api.github.com/repos/huggingface/datasets/issues/6217/events | https://github.com/huggingface/datasets/issues/6217 | 1,883,614,607 | I_kwDODunzps5wRa2P | 6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | {
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"We need to implement the `Image` type as a PyArrow extension type (to allow us to override the Python conversion) for this to work as expected. For now, it's best to use your approach indeed."
] | 2023-09-06T09:26:16Z | 2023-09-08T17:08:52Z | null | MEMBER | null | null | null | null | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6214/comments | https://api.github.com/repos/huggingface/datasets/issues/6214/events | https://github.com/huggingface/datasets/issues/6214 | 1,881,736,469 | I_kwDODunzps5wKQUV | 6,214 | Unpin fsspec < 2023.9.0 | {
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... | null | [] | 2023-09-05T11:02:58Z | 2023-09-26T15:32:52Z | 2023-09-26T15:32:52Z | MEMBER | null | null | null | null | Once root issue is fixed, remove temporary pin of fsspec < 2023.9.0 introduced by:
- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | {
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https://api.github.com/repos/huggingface/datasets/issues/6212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6212/comments | https://api.github.com/repos/huggingface/datasets/issues/6212/events | https://github.com/huggingface/datasets/issues/6212 | 1,880,399,516 | I_kwDODunzps5wFJ6c | 6,212 | Tilde (~) is not supported for data_files | {
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"Hi @exs-avianello, is it really needed? Note you can alternatively use `pathlib.Path` among others as it follows:\r\n\r\n```python\r\nimport datasets\r\nfrom pathlib import Path\r\n\r\n# save a parquet file at ~/path/to/data.parquet\r\n\r\ndata_files = Path.home() / \"path/to/data.parquet\"\r\ndataset = datasets.l... | 2023-09-04T14:23:49Z | 2023-09-05T08:28:39Z | null | NONE | null | null | null | null | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | null | {
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See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6207/comments | https://api.github.com/repos/huggingface/datasets/issues/6207/events | https://github.com/huggingface/datasets/issues/6207 | 1,879,555,234 | I_kwDODunzps5wB7yi | 6,207 | No-script datasets with ZIP files do not load | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2023-09-04T05:50:27Z | 2023-09-04T09:13:33Z | 2023-09-04T09:13:33Z | MEMBER | null | null | null | null | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
{
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https://api.github.com/repos/huggingface/datasets/issues/6206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6206/comments | https://api.github.com/repos/huggingface/datasets/issues/6206/events | https://github.com/huggingface/datasets/issues/6206 | 1,879,473,745 | I_kwDODunzps5wBn5R | 6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | {
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"I solved the problem by modifying the \"self DEFAULT_WRITER_BATCH_SIZE\" in \"class MyDataset (datasets. GeneratorBasedBuilder) : __init__\"",
"same problem, and this solution worked me also - you can set this var by setting the keyword argument `writer_batch_size=...` in `load_dataset(...,writer_batch_size=...)... | 2023-09-04T04:14:00Z | 2024-04-17T15:53:29Z | 2023-09-04T06:05:49Z | NONE | null | null | null | null | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6203/comments | https://api.github.com/repos/huggingface/datasets/issues/6203/events | https://github.com/huggingface/datasets/issues/6203 | 1,877,491,602 | I_kwDODunzps5v6D-S | 6,203 | Support loading from a DVC remote repository | {
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"(cross-posting from the linked DVC issue)\r\n\r\nI think this should already work out of the box with the current `datasets` and `dvc.api` releases by passing the correct `storage_options` into the datasets calls. `storage_options` is essentially just the kwargs dict that gets passed to the fsspec fs constructor.\... | 2023-09-01T14:04:52Z | 2023-09-15T15:11:27Z | 2023-09-15T15:11:27Z | NONE | null | null | null | null | ### Feature request
Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6202/comments | https://api.github.com/repos/huggingface/datasets/issues/6202/events | https://github.com/huggingface/datasets/issues/6202 | 1,876,630,351 | I_kwDODunzps5v2xtP | 6,202 | avoid downgrading jax version | {
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"https://github.com/huggingface/datasets/blob/main/setup.py#L236\r\nCurrently has the highest version at 0.3.25; Not sure if there is any reason for this, other than that was the tested version?"
] | 2023-09-01T02:57:57Z | 2023-10-12T16:28:59Z | 2023-10-12T16:28:59Z | NONE | null | null | null | null | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/6199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6199/comments | https://api.github.com/repos/huggingface/datasets/issues/6199/events | https://github.com/huggingface/datasets/issues/6199 | 1,875,165,185 | I_kwDODunzps5vxMAB | 6,199 | Use load_dataset for local json files, but it not works | {
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"Hugging Face's datasets library may prioritize remote configurations. Make sure there are no conflicting configurations causing the library to prefer downloading data\r\nMay be try debugging\r\nraw_datasets = load_dataset('json', data_files=data_files)\r\nprint(raw_datasets)\r\n",
"It doesn't download them but ... | 2023-08-31T09:42:34Z | 2023-08-31T19:05:07Z | null | NONE | null | null | null | null | ### Describe the bug
when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6197/comments | https://api.github.com/repos/huggingface/datasets/issues/6197/events | https://github.com/huggingface/datasets/issues/6197 | 1,875,078,155 | I_kwDODunzps5vw2wL | 6,197 | ValueError: 'index=True' is only valid when 'orient' is 'split', 'table', 'index', or 'columns' | {
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"Thanks for reporting. We are investigating it.",
"This issue is caused by latest `pandas` release 2.1.0 (released yesterday Aug 30).\r\n\r\nSee: https://github.com/huggingface/datasets/actions/runs/6035484010/job/16375932085?pr=6198\r\n",
"People using previous releases of `datasets` should pin `pandas` in the... | 2023-08-31T08:51:50Z | 2023-09-01T10:35:10Z | 2023-08-31T10:24:40Z | NONE | null | null | null | null | ### Describe the bug
Saving a dataset `.to_json()` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | {
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https://api.github.com/repos/huggingface/datasets/issues/6196 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6196/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6196/comments | https://api.github.com/repos/huggingface/datasets/issues/6196/events | https://github.com/huggingface/datasets/issues/6196 | 1,875,070,972 | I_kwDODunzps5vw0_8 | 6,196 | Split order is not preserved | {
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For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | {
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https://api.github.com/repos/huggingface/datasets/issues/6195 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6195/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6195/comments | https://api.github.com/repos/huggingface/datasets/issues/6195/events | https://github.com/huggingface/datasets/issues/6195 | 1,874,195,585 | I_kwDODunzps5vtfSB | 6,195 | Force to reuse cache at given path | {
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"realized that need to pass the path at `cache_file_name` like\r\n\r\n```python\r\ntokenized_datasets = raw_datasets[\"train\"].map(\r\n tokenize_function,\r\n batched=True,\r\n num_proc=data_args.preprocessing_num_workers,\r\n remove_columns=[text_column_... | 2023-08-30T18:44:54Z | 2023-11-03T10:14:21Z | 2023-08-30T19:00:45Z | NONE | null | null | null | null | ### Describe the bug
I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6194 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6194/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6194/comments | https://api.github.com/repos/huggingface/datasets/issues/6194/events | https://github.com/huggingface/datasets/issues/6194 | 1,872,598,223 | I_kwDODunzps5vnZTP | 6,194 | Support custom fingerprinting with `Dataset.from_generator` | {
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"The `fingerprint` parameter serves a slightly different purpose - we use it to inject a new fingerprint after transforming a `Dataset` (computed from the previous fingerprint + transform + transform args), e.g., to be able to compute the cache file for a transform. There is no concept of `fingerprint` before a `Da... | 2023-08-29T22:43:13Z | 2024-12-22T01:14:39Z | null | NONE | null | null | null | null | ### Feature request
When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6193/comments | https://api.github.com/repos/huggingface/datasets/issues/6193/events | https://github.com/huggingface/datasets/issues/6193 | 1,872,285,153 | I_kwDODunzps5vmM3h | 6,193 | Dataset loading script method does not work with .pyc file | {
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"Before dynamically loading `.py` scripts with `importlib.import_module`, we also parse their contents to check imports, which is tricky to implement for binary `.pyc` files (requires parsing bytecode), so I don't think this is something we want to support (unless more users request it ofc) as this use case is a bi... | 2023-08-29T19:35:06Z | 2023-08-31T19:47:29Z | null | NONE | null | null | null | null | ### Describe the bug
The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6190/comments | https://api.github.com/repos/huggingface/datasets/issues/6190/events | https://github.com/huggingface/datasets/issues/6190 | 1,871,582,175 | I_kwDODunzps5vjhPf | 6,190 | `Invalid user token` even when correct user token is passed! | {
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"This is because `download_config.use_auth_token` is deprecated - you should use `download_config.token` instead",
"Works! Thanks for the quick fix! <3"
] | 2023-08-29T12:37:03Z | 2023-08-29T13:01:10Z | 2023-08-29T13:01:09Z | MEMBER | null | null | null | null | ### Describe the bug
I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6188/comments | https://api.github.com/repos/huggingface/datasets/issues/6188/events | https://github.com/huggingface/datasets/issues/6188 | 1,870,987,640 | I_kwDODunzps5vhQF4 | 6,188 | [Feature Request] Check the length of batch before writing so that empty batch is allowed | {
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"I think this error means you filter all examples within an (input) batch by deleting its columns. In that case, to avoid the error, you can set the column value to an empty list (`input_batch[\"col\"] = []`) instead."
] | 2023-08-29T06:37:34Z | 2023-09-19T21:55:38Z | 2023-09-19T21:55:37Z | NONE | null | null | null | null | ### Use Case
I use `dataset.map(process_fn, batched=True)` to process the dataset, with data **augmentations or filtering**. However, when all examples within a batch is filtered out, i.e. **an empty batch is returned**, the following error will be thrown:
```
ValueError: Schema and number of arrays unequal
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/6187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6187/comments | https://api.github.com/repos/huggingface/datasets/issues/6187/events | https://github.com/huggingface/datasets/issues/6187 | 1,870,936,143 | I_kwDODunzps5vhDhP | 6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | {
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"Hi! You can load this dataset with:\r\n```python\r\ndata_files = {\r\n \"train\": \"/content/PUBHEALTH/train.tsv\",\r\n \"validation\": \"/content/PUBHEALTH/dev.tsv\",\r\n \"test\": \"/content/PUBHEALTH/test.tsv\",\r\n}\r\n\r\ntsv_datasets_reloaded = load_dataset(\"csv\", data_files=data_files, sep=\"\\t\... | 2023-08-29T05:49:56Z | 2023-08-29T16:21:45Z | null | NONE | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6186/comments | https://api.github.com/repos/huggingface/datasets/issues/6186/events | https://github.com/huggingface/datasets/issues/6186 | 1,869,431,457 | I_kwDODunzps5vbUKh | 6,186 | Feature request: add code example of multi-GPU processing | {
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"That'd be a great idea! @mariosasko or @lhoestq, would it be possible to fix the code snippet or do you have another suggested way for doing this?",
"Indeed `if __name__ == \"__main__\"` is important in this case.\r\n\r\nNot sure about the imbalanced GPU usage though, but maybe you can try using the `torch.cuda.... | 2023-08-28T10:00:59Z | 2024-10-07T09:39:51Z | 2023-11-22T15:42:20Z | CONTRIBUTOR | null | null | null | null | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6185/comments | https://api.github.com/repos/huggingface/datasets/issues/6185/events | https://github.com/huggingface/datasets/issues/6185 | 1,868,077,748 | I_kwDODunzps5vWJq0 | 6,185 | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | {
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"You can cast the `input_image` column to the `Image` type to fix the issue:\r\n```python\r\nds.cast_column(\"input_image\", datasets.Image())\r\n```"
] | 2023-08-26T12:15:57Z | 2023-08-29T14:49:58Z | null | NONE | null | null | null | null | ### Describe the bug
I am using the ArrowWriter from datasets.arrow_writer to save a json-style file as arrow files. Within the dictionary, it contains a feature called "image" which is a list of PIL.Image objects.
I am saving the json using the following script:
```
def save_to_arrow(path,temp):
with ArrowWri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6184/comments | https://api.github.com/repos/huggingface/datasets/issues/6184/events | https://github.com/huggingface/datasets/issues/6184 | 1,867,766,143 | I_kwDODunzps5vU9l_ | 6,184 | Map cache does not detect function changes in another module | {
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"This issue is a duplicate of https://github.com/huggingface/datasets/issues/3297. This is a limitation of `dill`, a package we use for caching (non-`__main__` module objects are serialized by reference). You can find more info about it here: https://github.com/uqfoundation/dill/issues/424.\r\n\r\nIn your case, mo... | 2023-08-25T22:59:14Z | 2023-08-29T20:57:07Z | 2023-08-29T20:56:49Z | NONE | null | null | null | null | ```python
# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6183/comments | https://api.github.com/repos/huggingface/datasets/issues/6183/events | https://github.com/huggingface/datasets/issues/6183 | 1,867,743,276 | I_kwDODunzps5vU4As | 6,183 | Load dataset with non-existent file | {
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"Same problem",
"This was fixed in https://github.com/huggingface/datasets/pull/6155, which will be included in the next release (or you can install `datasets` from source to use it immediately)."
] | 2023-08-25T22:21:22Z | 2023-08-29T13:26:22Z | 2023-08-29T13:26:22Z | NONE | null | null | null | null | ### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6182/comments | https://api.github.com/repos/huggingface/datasets/issues/6182/events | https://github.com/huggingface/datasets/issues/6182 | 1,867,203,131 | I_kwDODunzps5vS0I7 | 6,182 | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | {
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"Our minimal Python version requirement is 3.8, so we dropped `importlib_metadata`. \r\n\r\nFeel free to open a PR in the `evaluate` repo to replace the problematic import with\r\n```python\r\nif PY_VERSION < version.parse(\"3.8\"):\r\n import importlib_metadata\r\nelse:\r\n import importlib.metadata as impor... | 2023-08-25T14:54:06Z | 2023-09-04T16:41:11Z | 2023-08-31T14:38:23Z | NONE | null | null | null | null | ### Describe the bug
When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14```
### Steps to reproduce the bug
```
from evaluate import load
meteor = load("meteor")
```
produces the following error:
```
from d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6179/comments | https://api.github.com/repos/huggingface/datasets/issues/6179/events | https://github.com/huggingface/datasets/issues/6179 | 1,867,009,016 | I_kwDODunzps5vSEv4 | 6,179 | Map cache with tokenizer | {
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"https://github.com/huggingface/datasets/issues/5147 may be a solution, by passing in the tokenizer in a fn_kwargs and ignoring it in the fingerprint calculations",
"I have a similar issue. I was using a Jupyter Notebook and every time I call the map function it performs tokenization from scratch again although t... | 2023-08-25T12:55:18Z | 2023-08-31T15:17:24Z | null | NONE | null | null | null | null | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6178/comments | https://api.github.com/repos/huggingface/datasets/issues/6178/events | https://github.com/huggingface/datasets/issues/6178 | 1,866,610,102 | I_kwDODunzps5vQjW2 | 6,178 | 'import datasets' throws "invalid syntax error" | {
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"This seems to be related to your environment and not the `datasets` code (e.g., this could happen when exposing the Python 3.9 site packages to a lower Python version (interpreter))"
] | 2023-08-25T08:35:14Z | 2023-09-27T17:33:39Z | 2023-09-27T17:33:39Z | NONE | null | null | null | null | ### Describe the bug
Hi,
I have been trying to import the datasets library but I keep gtting this error.
`Traceback (most recent call last):
File /opt/local/jupyterhub/lib64/python3.9/site-packages/IPython/core/interactiveshell.py:3508 in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
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https://api.github.com/repos/huggingface/datasets/issues/6176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6176/comments | https://api.github.com/repos/huggingface/datasets/issues/6176/events | https://github.com/huggingface/datasets/issues/6176 | 1,864,436,408 | I_kwDODunzps5vIQq4 | 6,176 | how to limit the size of memory mapped file? | {
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"Hi! Can you share the error this reproducer throws in your environment? `streaming=True` streams the dataset as it's iterated over without creating a memory-map file.",
"The trace of the error. Streaming works but is slower.\r\n```\r\nRoot Cause (first observed failure):\r\n[0]:\r\n time : 2023-08-24_06:06... | 2023-08-24T05:33:45Z | 2023-10-11T06:00:10Z | null | NONE | null | null | null | null | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6173/comments | https://api.github.com/repos/huggingface/datasets/issues/6173/events | https://github.com/huggingface/datasets/issues/6173 | 1,863,422,065 | I_kwDODunzps5vEZBx | 6,173 | Fix CI for pyarrow 13.0.0 | {
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```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
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https://api.github.com/repos/huggingface/datasets/issues/6172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6172/comments | https://api.github.com/repos/huggingface/datasets/issues/6172/events | https://github.com/huggingface/datasets/issues/6172 | 1,863,318,027 | I_kwDODunzps5vD_oL | 6,172 | Make Dataset streaming queries retryable | {
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"Hi! The streaming mode also retries requests - `datasets.config.STREAMING_READ_MAX_RETRIES` (20 sec by default) controls the number of retries and `datasets.config.STREAMING_READ_RETRY_INTERVAL` (5 sec) the sleep time between retries.\r\n\r\n> At step 1800 I got a 504 HTTP status code error from Huggingface hub fo... | 2023-08-23T13:15:38Z | 2023-11-06T13:54:16Z | null | NONE | null | null | null | null | ### Feature request
Streaming datasets, as intended, do not load the entire dataset in memory or disk. However, while querying the next data chunk from the remote, sometimes it is possible that the service is down or there might be other issues that may cause the query to fail. In such a scenario, it would be nice to ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6169/comments | https://api.github.com/repos/huggingface/datasets/issues/6169/events | https://github.com/huggingface/datasets/issues/6169 | 1,862,360,199 | I_kwDODunzps5vAVyH | 6,169 | Configurations in yaml not working | {
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"Unfortunately, I cannot reproduce this behavior on my machine or Colab - the reproducer returns `['main_data', 'additional_data']` as expected.",
"Thank you for looking into this, Mario. Is this on [my repository](https://huggingface.co/datasets/tsor13/test), or on another one that you have reproduced? Would you... | 2023-08-23T00:13:22Z | 2023-08-23T15:35:31Z | null | NONE | null | null | null | null | ### Dataset configurations cannot be created in YAML/README
Hello! I'm trying to follow the docs here in order to create structure in my dataset as added from here (#5331): https://github.com/huggingface/datasets/blob/8b8e6ee067eb74e7965ca2a6768f15f9398cb7c8/docs/source/repository_structure.mdx#L110-L118
I have t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6163/comments | https://api.github.com/repos/huggingface/datasets/issues/6163/events | https://github.com/huggingface/datasets/issues/6163 | 1,857,682,241 | I_kwDODunzps5uuftB | 6,163 | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | {
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"Answered on the forum [here](https://discuss.huggingface.co/t/error-type-arrowinvalid-details-failed-to-parse-string-254-254-as-a-scalar-of-type-int32/51323).",
"it seems that no answer in this link"
] | 2023-08-19T11:34:40Z | 2025-07-22T12:04:46Z | null | NONE | null | null | null | null | ### Describe the bug
I am getting the following error while I am trying to upload the CSV sheet to train a model. My CSV sheet content is exactly same as shown in the example CSV file in the Auto Train page. Attaching screenshot of error for reference. I have also tried converting the index of the answer that are inte... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6162/comments | https://api.github.com/repos/huggingface/datasets/issues/6162/events | https://github.com/huggingface/datasets/issues/6162 | 1,856,198,342 | I_kwDODunzps5uo1bG | 6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | {
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"Hi ! Feel free to open a discussion at https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T/discussions to ask the file to be fixed (or directly open a PR with the fixed file)\r\n\r\n`datasets` expects all the examples to have the same fields",
"@lhoestq I think the problem is caused by the fact th... | 2023-08-18T07:19:39Z | 2023-08-18T17:00:35Z | null | NONE | null | null | null | null | ### Describe the bug
When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6159/comments | https://api.github.com/repos/huggingface/datasets/issues/6159/events | https://github.com/huggingface/datasets/issues/6159 | 1,855,691,512 | I_kwDODunzps5um5r4 | 6,159 | Add `BoundingBox` feature | {
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"My proposal would look like this:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nfrom datasets.features import Sequence, BboxFeature\r\n\r\n# load images along with boxes\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/path/to/folder\", split=\"train\")\r\n\r\n# map the boxes column to the appropr... | 2023-08-17T20:49:51Z | 2024-11-18T17:58:43Z | null | COLLABORATOR | null | null | null | null | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6157/comments | https://api.github.com/repos/huggingface/datasets/issues/6157/events | https://github.com/huggingface/datasets/issues/6157 | 1,855,265,663 | I_kwDODunzps5ulRt_ | 6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | {
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"Thanks for reporting, but we can only fix this issue if you can provide a reproducer that consistently reproduces it.",
"@mariosasko Ok. What exactly does it mean to provide a reproducer",
"To provide a code that reproduces the issue :)",
"@mariosasko I complete the above code, is it enough?",
"@mariosasko... | 2023-08-17T15:48:11Z | 2023-09-27T17:36:14Z | 2023-09-27T17:36:14Z | NONE | null | null | null | null | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6156/comments | https://api.github.com/repos/huggingface/datasets/issues/6156/events | https://github.com/huggingface/datasets/issues/6156 | 1,854,768,618 | I_kwDODunzps5ujYXq | 6,156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | {
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"@lhoestq ",
"`_effective_generator` returns a RNG that takes into account `self._epoch` and the current dataset's base shuffling RNG (which can be set by specifying `seed=` in `.shuffle() for example`).\r\n\r\nTo fix your error you can pass `seed=` to `.shuffle()`. And the shuffling will depend on both this seed... | 2023-08-17T10:58:20Z | 2023-08-17T14:33:15Z | 2023-08-17T14:33:14Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6152 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6152/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6152/comments | https://api.github.com/repos/huggingface/datasets/issues/6152/events | https://github.com/huggingface/datasets/issues/6152 | 1,852,494,646 | I_kwDODunzps5uatM2 | 6,152 | FolderBase Dataset automatically resolves under current directory when data_dir is not specified | {
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"@lhoestq ",
"Makes sense, I guess this can be fixed in the load_dataset_builder method.\r\nIt concerns every packaged builder I think (see values in `_PACKAGED_DATASETS_MODULES`)",
"I think the behavior is related to these lines, which short circuited the error handling.\r\nhttps://github.com/huggingface/datas... | 2023-08-16T04:38:09Z | 2025-06-18T14:18:42Z | 2025-06-18T14:18:42Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
FolderBase Dataset automatically resolves under current directory when data_dir is not specified.
For example:
```
load_dataset("audiofolder")
```
takes long time to resolve and collect data_files from current directory. But I think it should reach out to this line for error handling https:... | {
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https://api.github.com/repos/huggingface/datasets/issues/6151 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6151/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6151/comments | https://api.github.com/repos/huggingface/datasets/issues/6151/events | https://github.com/huggingface/datasets/issues/6151 | 1,851,497,818 | I_kwDODunzps5uW51a | 6,151 | Faster sorting for single key items | {
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"`Dataset.sort` essentially does the same thing except it uses `pyarrow.compute.sort_indices` which doesn't involve copying the data into python objects (saving memory)\r\n\r\n```python\r\nsort_keys = [(col, \"ascending\") for col in column_names]\r\nindices = pc.sort_indices(self.data, sort_keys=sort_keys)\r\nretu... | 2023-08-15T14:02:31Z | 2023-08-21T14:38:26Z | 2023-08-21T14:38:25Z | NONE | null | null | null | null | ### Feature request
A faster way to sort a dataset which contains a large number of rows.
### Motivation
The current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps.
**Code snippet:**
```python
ds = datasets.load_dataset( "json"... | {
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https://api.github.com/repos/huggingface/datasets/issues/6150 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6150/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6150/comments | https://api.github.com/repos/huggingface/datasets/issues/6150/events | https://github.com/huggingface/datasets/issues/6150 | 1,850,740,456 | I_kwDODunzps5uUA7o | 6,150 | Allow dataset implement .take | {
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"```\r\n dataset = IterableDataset(dataset) if type(dataset) != IterableDataset else dataset # to force dataset.take(batch_size) to work in non-streaming mode\r\n ```\r\n",
"hf discuss: https://discuss.huggingface.co/t/how-does-one-make-dataset-take-512-work-with-streaming-false-with-hugging-face-data-set/5... | 2023-08-15T00:17:51Z | 2023-08-17T13:49:37Z | null | NONE | null | null | null | null | ### Feature request
I want to do:
```
dataset.take(512)
```
but it only works with streaming = True
### Motivation
uniform interface to data sets. Really surprising the above only works with streaming = True.
### Your contribution
Should be trivial to copy paste the IterableDataset .take to use the local pa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6149/comments | https://api.github.com/repos/huggingface/datasets/issues/6149/events | https://github.com/huggingface/datasets/issues/6149 | 1,850,700,624 | I_kwDODunzps5uT3NQ | 6,149 | Dataset.from_parquet cannot load subset of columns | {
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"Looks like this regression was introduced in `datasets==2.13.0` (`2.12.0` could load a subset of columns)\r\n\r\nThis does not appear to be fixed by https://github.com/huggingface/datasets/pull/6045 (bug still exists on `main`)"
] | 2023-08-14T23:28:22Z | 2023-08-17T22:36:05Z | 2023-08-17T22:36:05Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When using `Dataset.from_parquet(path_or_paths, columns=[...])` and a subset of columns, loading fails with a variant of the following
```
ValueError: Couldn't cast
a: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 273
to
{'a': V... | {
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https://api.github.com/repos/huggingface/datasets/issues/6147 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6147/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6147/comments | https://api.github.com/repos/huggingface/datasets/issues/6147/events | https://github.com/huggingface/datasets/issues/6147 | 1,848,914,830 | I_kwDODunzps5uNDOO | 6,147 | ValueError when running BeamBasedBuilder with GCS path in cache_dir | {
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"The cause of the error seems to be that `datasets` adds \"gcs://\" as a schema, while `beam` checks only \"gs://\".\r\n\r\ndatasets: https://github.com/huggingface/datasets/blob/c02a44715c036b5261686669727394b1308a3a4b/src/datasets/builder.py#L822\r\n\r\nbeam: [link](https://github.com/apache/beam/blob/25e1a64641b... | 2023-08-14T03:11:34Z | 2024-03-18T16:59:15Z | 2024-03-18T16:59:14Z | NONE | null | null | null | null | ### Describe the bug
When running the BeamBasedBuilder with a GCS path specified in the cache_dir, the following ValueError occurs:
```
ValueError: Unable to get filesystem from specified path, please use the correct path or ensure the required dependency is installed, e.g., pip install apache-beam[gcp]. Path spec... | {
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https://api.github.com/repos/huggingface/datasets/issues/6146 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6146/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6146/comments | https://api.github.com/repos/huggingface/datasets/issues/6146/events | https://github.com/huggingface/datasets/issues/6146 | 1,848,417,366 | I_kwDODunzps5uLJxW | 6,146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | {
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"I've tried clear the .cache file, doesn't work.",
"This issue happens on AWS sagemaker",
"This issue can happen if there is a directory named \"glue\" relative to the Python script with the `load_dataset` call (similar issue to this one: https://github.com/huggingface/datasets/issues/5228). Is this the case?",... | 2023-08-13T05:17:56Z | 2023-08-26T22:09:09Z | 2023-08-26T22:09:09Z | NONE | null | null | null | null | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6153/comments | https://api.github.com/repos/huggingface/datasets/issues/6153/events | https://github.com/huggingface/datasets/issues/6153 | 1,852,630,074 | I_kwDODunzps5ubOQ6 | 6,153 | custom load dataset to hub | {
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"This is an issue for the [Datasets repo](https://github.com/huggingface/datasets).",
"> This is an issue for the [Datasets repo](https://github.com/huggingface/datasets).\r\n\r\nThanks @sgugger , I guess I will wait for them to address the issue . Looking forward to hearing from them ",
"You can use `.push_to_... | 2023-08-13T04:42:22Z | 2023-11-21T11:50:28Z | 2023-10-08T17:04:16Z | NONE | null | null | null | null | ### System Info
kaggle notebook
i transformed dataset:
```
dataset = load_dataset("Dahoas/first-instruct-human-assistant-prompt")
```
to
formatted_dataset:
```
Dataset({
features: ['message_tree_id', 'message_tree_text'],
num_rows: 33143
})
```
but would like to know how to upload to hub
### ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6144 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6144/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6144/comments | https://api.github.com/repos/huggingface/datasets/issues/6144/events | https://github.com/huggingface/datasets/issues/6144 | 1,847,296,711 | I_kwDODunzps5uG4LH | 6,144 | NIH exporter file not found | {
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"related: https://github.com/huggingface/datasets/issues/3504",
"another file not found:\r\n```\r\nTraceback (most recent call last):\r\n File \"/lfs/ampere1/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/fsspec/implementations/http.py\", line 417, in _info\r\n await _file_info(\r\n File ... | 2023-08-11T19:05:25Z | 2023-08-14T23:28:38Z | null | NONE | null | null | null | null | ### Describe the bug
can't use or download the nih exporter pile data.
```
15 experiment_compute_diveristy_coeff_single_dataset_then_combined_datasets_with_domain_weights()
16 File "/lfs/ampere1/0/brando9/beyond-scale-language-data-diversity/src/diversity/div_coeff.py", line 474, in experiment_compute_diveri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6142/comments | https://api.github.com/repos/huggingface/datasets/issues/6142/events | https://github.com/huggingface/datasets/issues/6142 | 1,846,205,216 | I_kwDODunzps5uCtsg | 6,142 | the-stack-dedup fails to generate | {
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"@severo ",
"It seems that some parquet files have additional columns.\r\n\r\nI ran a scan and found that two files have the additional `__id__` column:\r\n\r\n1. `hf://datasets/bigcode/the-stack-dedup/data/numpy/data-00000-of-00001.parquet`\r\n2. `hf://datasets/bigcode/the-stack-dedup/data/omgrofl/data-00000-of-... | 2023-08-11T05:10:49Z | 2023-08-17T09:26:13Z | 2023-08-17T09:26:13Z | NONE | null | null | null | null | ### Describe the bug
I'm getting an error generating the-stack-dedup with datasets 2.13.1, and with 2.14.4 nothing happens.
### Steps to reproduce the bug
My code:
```
import os
import datasets as ds
MY_CACHE_DIR = "/home/ubuntu/the-stack-dedup-local"
MY_TOKEN="my-token"
the_stack_ds = ds.load_dataset("... | {
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https://api.github.com/repos/huggingface/datasets/issues/6141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6141/comments | https://api.github.com/repos/huggingface/datasets/issues/6141/events | https://github.com/huggingface/datasets/issues/6141 | 1,846,117,729 | I_kwDODunzps5uCYVh | 6,141 | TypeError: ClientSession._request() got an unexpected keyword argument 'https' | {
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"Hi! I cannot reproduce this error on my machine or in Colab. Which version of `fsspec` do you have installed?"
] | 2023-08-11T02:40:32Z | 2023-08-30T13:51:33Z | 2023-08-30T13:51:33Z | NONE | null | null | null | null | ### Describe the bug
Hello, when I ran the [code snippet](https://huggingface.co/docs/datasets/v2.14.4/en/loading#json) on the document, I encountered the following problem:
```
Python 3.10.9 (main, Mar 1 2023, 18:23:06) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more informatio... | {
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https://api.github.com/repos/huggingface/datasets/issues/6140 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6140/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6140/comments | https://api.github.com/repos/huggingface/datasets/issues/6140/events | https://github.com/huggingface/datasets/issues/6140 | 1,845,384,712 | I_kwDODunzps5t_lYI | 6,140 | Misalignment between file format specified in configs metadata YAML and the inferred builder | {
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] | closed | false | null | [] | null | [] | 2023-08-10T15:07:34Z | 2023-08-17T20:37:20Z | 2023-08-17T20:37:20Z | MEMBER | null | null | null | null | There is a misalignment between the format of the `data_files` specified in the configs metadata YAML (CSV):
```yaml
configs:
- config_name: default
data_files:
- split: train
path: data.csv
```
and the inferred builder (JSON). Note there are multiple JSON files in the repo, but they do not... | {
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https://api.github.com/repos/huggingface/datasets/issues/6139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6139/comments | https://api.github.com/repos/huggingface/datasets/issues/6139/events | https://github.com/huggingface/datasets/issues/6139 | 1,844,991,583 | I_kwDODunzps5t-FZf | 6,139 | Offline dataset viewer | {
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"Hi, thanks for the suggestion. It's not possible at the moment. The viewer is part of the Hub codebase and only works on public datasets. Also, it relies on [Datasets Server](https://github.com/huggingface/datasets-server/), which prepares the data and provides an API to access the rows, size, etc.\r\n\r\nIf you'r... | 2023-08-10T11:30:00Z | 2024-09-24T18:36:35Z | 2023-09-29T13:10:22Z | NONE | null | null | null | null | ### Feature request
The dataset viewer feature is very nice. It enables to the user to easily view the dataset. However, when working for private companies we cannot always upload the dataset to the hub. Is there a way to create dataset viewer offline? I.e. to run a code that will open some kind of html or something t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6137/comments | https://api.github.com/repos/huggingface/datasets/issues/6137/events | https://github.com/huggingface/datasets/issues/6137 | 1,844,952,312 | I_kwDODunzps5t97z4 | 6,137 | (`from_spark()`) Unable to connect HDFS in pyspark YARN setting | {
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related issue: https://github.com/apache/arrow/issues/37057#issue-1841013613
---
Hello. I'm trying to interact with HDFS storage from a driver and workers of pyspark YARN cluster. Precisely I'm using **huggingface's `datasets`** ([link](https://github.com/huggingface/datasets)) library tha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6136/comments | https://api.github.com/repos/huggingface/datasets/issues/6136/events | https://github.com/huggingface/datasets/issues/6136 | 1,844,887,866 | I_kwDODunzps5t9sE6 | 6,136 | CI check_code_quality error: E721 Do not compare types, use `isinstance()` | {
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```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6134/comments | https://api.github.com/repos/huggingface/datasets/issues/6134/events | https://github.com/huggingface/datasets/issues/6134 | 1,844,535,142 | I_kwDODunzps5t8V9m | 6,134 | `datasets` cannot be installed alongside `apache-beam` | {
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"I noticed that this is actually covered by issue #5613, which for some reason I didn't see when I searched the issues in this repo the first time."
] | 2023-08-10T06:54:32Z | 2023-09-01T03:19:49Z | 2023-08-10T15:22:10Z | NONE | null | null | null | null | ### Describe the bug
If one installs `apache-beam` alongside `datasets` (which is required for the [wikipedia](https://huggingface.co/datasets/wikipedia#dataset-summary) dataset) in certain environments (such as a Google Colab notebook), they appear to install successfully, however, actually trying to do something s... | {
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https://api.github.com/repos/huggingface/datasets/issues/6133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6133/comments | https://api.github.com/repos/huggingface/datasets/issues/6133/events | https://github.com/huggingface/datasets/issues/6133 | 1,844,511,519 | I_kwDODunzps5t8QMf | 6,133 | Dataset is slower after calling `to_iterable_dataset` | {
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"@lhoestq ",
"It's roughly the same code between the two so we can expected roughly the same speed, could you share a benchmark ?"
] | 2023-08-10T06:36:23Z | 2023-08-16T09:18:54Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Can anyone explain why looping over a dataset becomes slower after calling `to_iterable_dataset` to convert to `IterableDataset`
### Steps to reproduce the bug
Any dataset after converting to `IterableDataset`
### Expected behavior
Maybe it should be faster on big dataset? I only test on small... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6132/comments | https://api.github.com/repos/huggingface/datasets/issues/6132/events | https://github.com/huggingface/datasets/issues/6132 | 1,843,491,020 | I_kwDODunzps5t4XDM | 6,132 | to_iterable_dataset is missing in document | {
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"Fixed with PR"
] | 2023-08-09T15:15:03Z | 2023-08-16T04:43:36Z | 2023-08-16T04:43:29Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
to_iterable_dataset is missing in document
### Steps to reproduce the bug
to_iterable_dataset is missing in document
### Expected behavior
document enhancement
### Environment info
unrelated | {
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https://api.github.com/repos/huggingface/datasets/issues/6130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6130/comments | https://api.github.com/repos/huggingface/datasets/issues/6130/events | https://github.com/huggingface/datasets/issues/6130 | 1,843,158,846 | I_kwDODunzps5t3F8- | 6,130 | default config name doesn't work when config kwargs are specified. | {
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"@lhoestq ",
"What should be the behavior in this case ? Should it override the default config with the added parameter ?",
"I know why it should be treated as a new config if overriding parameters are passed. But in some case, I just pass in some common fields like `data_dir`.\r\n\r\nFor example, I want to ext... | 2023-08-09T12:43:15Z | 2023-11-22T11:50:49Z | 2023-11-22T11:50:48Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
https://github.com/huggingface/datasets/blob/12cfc1196e62847e2e8239fbd727a02cbc86ddec/src/datasets/builder.py#L518-L522
If `config_name` is `None`, `DEFAULT_CONFIG_NAME` should be select. But once users pass `config_kwargs` to their customized `BuilderConfig`, the logic is ignored, and dataset ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6128/comments | https://api.github.com/repos/huggingface/datasets/issues/6128/events | https://github.com/huggingface/datasets/issues/6128 | 1,841,545,493 | I_kwDODunzps5tw8EV | 6,128 | IndexError: Invalid key: 88 is out of bounds for size 0 | {
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"Hi @TomasAndersonFang,\r\n\r\nHave you tried instead to use `torch_compile` in `transformers.TrainingArguments`? https://huggingface.co/docs/transformers/v4.31.0/en/main_classes/trainer#transformers.TrainingArguments.torch_compile",
"> \r\n\r\nI tried this and got the following error:\r\n\r\n```\r\nTraceback (mo... | 2023-08-08T15:32:08Z | 2023-12-26T07:51:57Z | 2023-08-11T13:35:09Z | NONE | null | null | null | null | ### Describe the bug
This bug generates when I use torch.compile(model) in my code, which seems to raise an error in datasets lib.
### Steps to reproduce the bug
I use the following code to fine-tune Falcon on my private dataset.
```python
import transformers
from transformers import (
AutoModelForCausalLM... | {
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https://api.github.com/repos/huggingface/datasets/issues/6126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6126/comments | https://api.github.com/repos/huggingface/datasets/issues/6126/events | https://github.com/huggingface/datasets/issues/6126 | 1,839,675,320 | I_kwDODunzps5tpze4 | 6,126 | Private datasets do not load when passing token | {
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"Our CI did not catch this issue because with current implementation, stored token in `HfFolder` (which always exists) is used by default.",
"I can confirm this and have the same problem (and just went almost crazy because I couldn't figure out the source of this problem because on another computer everything wor... | 2023-08-07T15:06:47Z | 2023-08-08T15:16:23Z | 2023-08-08T15:16:23Z | MEMBER | null | null | null | null | ### Describe the bug
Since the release of `datasets` 2.14, private/gated datasets do not load when passing `token`: they raise `EmptyDatasetError`.
This is a non-planned backward incompatible breaking change.
Note that private datasets do load if instead `download_config` is passed:
```python
from datasets i... | {
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https://api.github.com/repos/huggingface/datasets/issues/6125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6125/comments | https://api.github.com/repos/huggingface/datasets/issues/6125/events | https://github.com/huggingface/datasets/issues/6125 | 1,837,980,986 | I_kwDODunzps5tjV06 | 6,125 | Reinforcement Learning and Robotics are not task categories in HF datasets metadata | {
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In https://huggingface.co/models there are task categories for RL and robotics but none in https://huggingface.co/datasets
Our lab is currently moving our datasets over to hugging face and would like to be able to add those 2 tags
Moreover we see some older datasets that do have that tag, bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6124/comments | https://api.github.com/repos/huggingface/datasets/issues/6124/events | https://github.com/huggingface/datasets/issues/6124 | 1,837,868,112 | I_kwDODunzps5ti6RQ | 6,124 | Datasets crashing runs due to KeyError | {
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"i once had the same error and I could fix that by pushing a fake or a dummy commit on my hugging face dataset repo",
"Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?",
"> Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?\... | 2023-08-05T17:48:56Z | 2023-11-30T16:28:57Z | 2023-11-30T16:28:57Z | NONE | null | null | null | null | ### Describe the bug
Hi all,
I have been running into a pretty persistent issue recently when trying to load datasets.
```python
train_dataset = load_dataset(
'llama-2-7b-tokenized',
split = 'train'
)
```
I receive a KeyError which crashes the runs.
```
Traceback (most recent call... | {
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https://api.github.com/repos/huggingface/datasets/issues/6123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6123/comments | https://api.github.com/repos/huggingface/datasets/issues/6123/events | https://github.com/huggingface/datasets/issues/6123 | 1,837,789,294 | I_kwDODunzps5tinBu | 6,123 | Inaccurate Bounding Boxes in "wildreceipt" Dataset | {
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"Hi! Thanks for the investigation, but we are not the authors of these datasets, so please report this on the Hub instead so that the actual authors can fix it."
] | 2023-08-05T14:34:13Z | 2023-08-17T14:25:27Z | 2023-08-17T14:25:26Z | NONE | null | null | null | null | ### Describe the bug
I would like to bring to your attention an issue related to the accuracy of bounding boxes within the "wildreceipt" dataset, which is made available through the Hugging Face API. Specifically, I have identified a discrepancy between the bounding boxes generated by the dataset loading commands, n... | {
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https://api.github.com/repos/huggingface/datasets/issues/6122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6122/comments | https://api.github.com/repos/huggingface/datasets/issues/6122/events | https://github.com/huggingface/datasets/issues/6122 | 1,837,335,721 | I_kwDODunzps5tg4Sp | 6,122 | Upload README via `push_to_hub` | {
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"You can use `huggingface_hub`'s [Card API](https://huggingface.co/docs/huggingface_hub/package_reference/cards) to programmatically push a dataset card to the Hub."
] | 2023-08-04T21:00:27Z | 2023-08-21T18:18:54Z | 2023-08-21T18:18:54Z | NONE | null | null | null | null | ### Feature request
`push_to_hub` now allows users to upload datasets programmatically. However, based on the latest doc, we still need to open the dataset page to add readme file manually.
However, I do discover snippets to intialize a README for every `push_to_hub`:
```
dataset_card = (
DatasetCard(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6120/comments | https://api.github.com/repos/huggingface/datasets/issues/6120/events | https://github.com/huggingface/datasets/issues/6120 | 1,836,026,938 | I_kwDODunzps5tb4w6 | 6,120 | Lookahead streaming support? | {
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"In which format is your dataset? We could expose the `pre_buffer` flag for Parquet to use PyArrow's background thread pool to speed up loading. "
] | 2023-08-04T04:01:52Z | 2023-08-17T17:48:42Z | null | NONE | null | null | null | null | ### Feature request
From what I understand, streaming dataset currently pulls the data, and process the data as it is requested.
This can introduce significant latency delays when data is loaded into the training process, needing to wait for each segment.
While the delays might be dataset specific (or even mappi... | null | {
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