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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR uses `split_generator.split_info` as default value for `split_info` if any exception is raised while trying to get `split_generator.name` from `self.info.splits` (this may happen if there is any error in the metadata dataset_info splits).
Please note that `split_info` is only used by the logger.
Fix #5895... | 2023-06-02T06:06:38Z | https://github.com/huggingface/datasets/pull/5901 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | fixes #5871
The second commit is optional but improves readability. | 2023-06-02T16:02:15Z | https://github.com/huggingface/datasets/pull/5899 | {
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"got that the syntax is like this\r\n\r\ndataset = load_dataset(\"facebook/flores\", \"ace_Arab\")"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I am trying to load the Flores data set
the code which is given is
```
from datasets import load_dataset
dataset = load_dataset("facebook/flores")
```
This gives the error of config name
""ValueError: Config name is missing"
Now if I add some config it gives me the some error
... | 2023-05-25T17:21:38Z | https://github.com/huggingface/datasets/issues/5898 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fix cast on sliced `FixedSizeListArray`s.
Fix #5866 | 2023-05-26T12:22:04Z | https://github.com/huggingface/datasets/pull/5897 | {
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"I also faced this. Any update?"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I wrote the following script:
```
import datasets
dataset = datasets.load.load_dataset("wikipedia", "20220301.en", split="train[:10000]")
```
I ran it and spent 90 minutes downloading a 20GB file. Then I saw:
```
Downloading: 100%|████████████████████████████████████████████████████... | 2023-12-20T06:51:45Z | https://github.com/huggingface/datasets/issues/5896 | {
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"Thanks for reporting, @DongHande.\r\n\r\nI think the issue is caused by the metadata in the dataset card: in the header of the `README.md`, they state that the dataset has 4 splits (\"finetune\", \"reward\", \"rl\", \"evaluation\"). \r\n```yaml\r\n splits:\r\n - name: finetune\r\n num_bytes: 6674567576\r\... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When I load the ArmelR/stack-exchange-instruction dataset, I encounter a bug that may be raised by confusing the dir name string and the split string about the dataset.
When I use the script "datasets.load_dataset('ArmelR/stack-exchange-instruction', data_dir="data/finetune", split="train", ... | 2023-05-29T02:32:12Z | https://github.com/huggingface/datasets/issues/5895 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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"@lhoestq Could you please look into that and review?",
"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq I refactored the code. Could you please check is it what you requested?",
"@lhoestq Thanks for a review. Excellent tips. All tips applied. ",
"I think there is j... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | To be used to train models it allows to load an IterableDataset from the cached Arrow file.
See https://github.com/huggingface/datasets/issues/5481 | 2023-06-01T11:58:24Z | https://github.com/huggingface/datasets/pull/5893 | {
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"cc @SBrandeis",
"I think this has been addressed.\r\n\r\nPlease open a new issue if you are still not getting notified."
] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
When a user access requests are enabled, and new requests are set to Manual Review, the dataset owner should be notified of the pending requests. However, instead, currently nothing happens, and so the dataset request can go unanswered for quite some time until the owner happens to check that part... | 2023-07-21T13:55:37Z | https://github.com/huggingface/datasets/issues/5892 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5891). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fix #1774, fix #5875
| 2024-01-31T16:00:26Z | https://github.com/huggingface/datasets/pull/5891 | {
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"gists_url": ... | Token Alignment for input and output data over train and test batch/dataset. | https://api.github.com/repos/huggingface/datasets/issues/5889/events | null | https://api.github.com/repos/huggingface/datasets/issues/5889/labels{/name} | 2023-05-23T15:58:55Z | null | false | null | null | 1,722,373,618 | [] | https://api.github.com/repos/huggingface/datasets/issues/5889 | [] | https://api.github.com/repos/huggingface/datasets | NONE | `data`
> DatasetDict({
train: Dataset({
features: ['input', 'output'],
num_rows: 4500
})
test: Dataset({
features: ['input', 'output'],
num_rows: 500
})
})
**# input (in-correct sentence)**
`data['train'][0]['input']`
**>>** 'We are meet sunday 10am12pmET i... | 2023-05-23T15:58:55Z | https://github.com/huggingface/datasets/issues/5889 | {
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"Nice catch @donhuvy, that's because some models don't need the `token_type_ids`, as in this case, as the example is using `distilbert-base-cased`, and according to the DistilBert documentation at https://huggingface.co/transformers/v3.0.2/model_doc/distilbert.html, `DistilBert doesn’t have token_type_ids, you don’... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
### Steps to reproduce the bug
Use link as reference document written https://c... | 2023-07-25T14:01:01Z | https://github.com/huggingface/datasets/issues/5887 | {
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"Alternatively we could set the number of shards to be a factor than the number of processes (current they're equal) - this way it will be less likely to end up with a shard that is significantly slower than all the other ones."
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool to execute each shard.It may cause the slowest task ... | 2023-05-24T15:30:09Z | https://github.com/huggingface/datasets/issues/5886 | {
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"gis... | Modify `is_remote_filesystem` to return True for FUSE-mounted paths | https://api.github.com/repos/huggingface/datasets/issues/5885/events | null | https://api.github.com/repos/huggingface/datasets/issues/5885/labels{/name} | 2023-05-23T01:04:54Z | null | false | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5885). All of your documentation changes will be reflected on that endpoint.",
"@lhoestq would you or another maintainer be able to review please? :)",
"Why you do need to support FUSE mounted paths ?\r\n\r\n`datasets` uses d... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | null | 2024-01-08T18:31:00Z | https://github.com/huggingface/datasets/pull/5885 | {
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"following_url": "https://api.github.com/users/AntreasAntoniou/following{/other_user}"... | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | https://api.github.com/repos/huggingface/datasets/issues/5888/events | null | https://api.github.com/repos/huggingface/datasets/issues/5888/labels{/name} | 2023-05-22T18:05:26Z | null | false | null | null | 1,722,290,363 | [] | https://api.github.com/repos/huggingface/datasets/issues/5888 | [
"Hi! \r\n\r\nYou want to use `push_to_hub` (creates Parquet files) instead of `save_to_disk` (creates Arrow files) when creating a Hub dataset. Parquet is designed for long-term storage and takes less space than the Arrow format, and, most importantly, `load_dataset` can parse it, which should fix the viewer. \r\n\... | https://api.github.com/repos/huggingface/datasets | NONE | **Is your feature request related to a problem? Please describe.**
I recently chose to use huggingface hub as the home for a large multi modal dataset I've been building. https://huggingface.co/datasets/Antreas/TALI
It combines images, text, audio and video. Now, I could very easily upload a dataset made via datase... | 2023-06-23T03:37:16Z | https://github.com/huggingface/datasets/issues/5888 | {
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"gists_u... | `Dataset.to_tf_dataset` fails when strings cannot be encoded as `np.bytes_` | https://api.github.com/repos/huggingface/datasets/issues/5884/events | null | https://api.github.com/repos/huggingface/datasets/issues/5884/labels{/name} | 2023-05-22T12:03:06Z | null | false | {
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"May eventually be solved in #5883 ",
"#self-assign"
] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
When loading any dataset that contains a column with strings that are not ASCII-compatible, looping over those records raises the following exception e.g. for `é` character `UnicodeEncodeError: 'ascii' codec can't encode character '\xe9' in position 0: ordinal not in range(128)`.
### Steps to rep... | 2023-06-09T16:04:56Z | https://github.com/huggingface/datasets/issues/5884 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"To showcase the current issue, here's a Colab Gist, that shows that the `imdb` dataset cannot be read/iterated, since one or more samples contain a non-ascii character that is being converted to `numpy.bytes_`, and so on fails.\r\n\r... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ## What's in this PR?
This PR addresses some minor fixes and general improvements in the `to_tf_dataset` method of `datasets.Dataset`, to convert a 🤗HuggingFace Dataset as a TensorFlow Dataset.
The main bug solved in this PR comes with the string-encoding, since for safety purposes the internal conversion of `nu... | 2023-06-08T11:09:03Z | https://github.com/huggingface/datasets/pull/5883 | {
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... | Split dataset by node: index error when sharding iterable dataset | https://api.github.com/repos/huggingface/datasets/issues/5881/events | null | https://api.github.com/repos/huggingface/datasets/issues/5881/labels{/name} | 2023-05-22T10:36:13Z | null | false | null | null | 1,719,402,643 | [] | https://api.github.com/repos/huggingface/datasets/issues/5881 | [
"cc @lhoestq in case you have any ideas here! Might need a multi-host set-up to debug (can give you access to a JAX one if you need)",
"I am also facing the same problem. Could you let me know if you found a solution for this?",
"I couldn't reproduce with the latest version of `datasets` 2.16.1, can you update ... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
Context: we're splitting an iterable dataset by node and then passing it to a torch data loader with multiple workers
When we iterate over it for 5 steps, we don't get an error
When we instead iterate over it for 8 steps, we get an `IndexError` when fetching the data if we have too many wo... | 2024-01-29T14:20:43Z | https://github.com/huggingface/datasets/issues/5881 | {
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"gists_url": "... | load_dataset from s3 file system through streaming can't not iterate data | https://api.github.com/repos/huggingface/datasets/issues/5880/events | null | https://api.github.com/repos/huggingface/datasets/issues/5880/labels{/name} | 2023-05-22T07:40:27Z | null | false | null | null | 1,719,090,101 | [] | https://api.github.com/repos/huggingface/datasets/issues/5880 | [
"This sounds related to #5281.\r\n\r\nCan you try passing `storage_options=s3_client.storage_options` instead passing it to `use_auth_token=` ?",
"I tried `storage_options` before, but it doesn't work, I checked our source code and I found that we even didn't pass this parameter to the following process. if I use... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
I have a JSON file in my s3 file system(minio), I can use load_dataset to get the file link, but I can't iterate it
<img width="816" alt="image" src="https://github.com/huggingface/datasets/assets/59083384/cc0778d3-36f3-45b5-ac68-4e7c664c2ed0">
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"Very cool! Do you have a link to the code that you're using to eagerly fetch the data? Would also be interested in hacking around something here for pre-fetching iterable datasets",
"I ended up just switching back to the pytorch dataloader and using it's multiprocessing functionality to handle this :(. I'm just ... | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 2023-06-01T17:40:00Z | https://github.com/huggingface/datasets/issues/5878 | {
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"The \"exact match\" deduplication will be possible when we resolve https://github.com/huggingface/datasets/issues/2514 (first, https://github.com/apache/arrow/issues/30950 needs to be addressed on the Arrow side). In the meantime, you can use Polars or DuckDB (e.g., via [datasets-sql](https://github.com/mariosasko... | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
It would be great if there would be support for high performance, highly scalable text deduplication algorithms as part of the datasets library.
### Motivation
Motivated by this blog post https://huggingface.co/blog/dedup and this library https://github.com/google-research/deduplicate-text-datase... | 2024-01-25T14:40:09Z | https://github.com/huggingface/datasets/issues/5877 | {
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"Indeed, `clobber=True` (with a warning if the existing protocol will be overwritten) should fix the issue, but maybe a better solution is to register our compression filesystem before the script is executed and unregister them afterward. WDYT @lhoestq @albertvillanova?",
"I think we should use clobber and show a... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hello,
I am currently working on a project where both [DataLab](https://github.com/ExpressAI/DataLab) and [datasets](https://github.com/huggingface/datasets) are subdependencies.
I noticed that I cannot import both libraries, as they both register FileSystems in `fsspec`, expecting the FileSyste... | 2023-05-25T06:42:34Z | https://github.com/huggingface/datasets/issues/5876 | {
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"A duplicate of https://github.com/huggingface/datasets/issues/1774"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | 2024-01-31T15:54:18Z | https://github.com/huggingface/datasets/issues/5875 | {
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"Hi! You can refer to [this doc](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) to see the intended usage (basically, it skips the Arrow -> Parquet conversion step in `ds = load_dataset(...); ds.to_parquet(\"path/to/parquet\")`) and allows writing P... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
```... | 2023-05-31T13:23:55Z | https://github.com/huggingface/datasets/issues/5874 | {
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Add an environment variable to replace the default lock file path.
### Motivation
Usually, dataset path is a read-only path while the lock file needs to be modified each time. It would be convenient if the path can be reset individually.
### Your contribution
```/src/datasets/utils/fi... | 2023-05-17T07:11:05Z | https://github.com/huggingface/datasets/issues/5873 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | MEMBER | Fix the `infer_module_for_data_files` and `infer_module_for_data_files_in_archives` functions when passed a data file name with uppercase extension, e.g. `filename.TXT`.
Before, `None` module was returned. | 2023-05-17T14:26:59Z | https://github.com/huggingface/datasets/pull/5872 | {
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"It could even use `os.path.realpath` to resolve symlinks.",
"Indeed, it makes sense to normalize `data_dir`. Feel free to submit a PR (this can be \"fixed\" [here](https://github.com/huggingface/datasets/blob/89f775226321ba94e5bf4670a323c0fb44f5f65c/src/datasets/builder.py#L173))",
"#self-assign"
] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
I am working with the `recipe_nlg` dataset, which requires manual download. Once it's downloaded, I've noticed that the hash in the custom data configuration is different if I add a trailing `/` to my `data_dir`. It took me a while to notice that the hashes were different, and to understand that... | 2023-06-02T15:52:05Z | https://github.com/huggingface/datasets/issues/5871 | {
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https://api.github.com/repos/huggingface/datasets/issues/5870/comments | https://api.github.com/repos/huggingface/datasets/issues/5870/timeline | null | null | null | I_kwDODunzps5mDW56 | open | [] | null | 5,870 | {
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"PS - some work is definitely needed for 'special cases' docs, not explanations, just usages of 'functions' under mixture of special cases, like a combination of custom databuilder + iterable dataset for large size + dynamic .map() application."
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
All the examples in all the docs mentioned throughout huggingface datasets correspond to datasets object, and not IterableDatasets object. At one point of time, they might have been in sync, but the code for datasets version >=2.9.0 is very different as compared to the docs.
I basically need to ... | 2023-05-16T14:36:05Z | https://github.com/huggingface/datasets/issues/5870 | {
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"Hi @PhilippeMoussalli thanks for opening a detailed issue. It seems the issue is more related to the `datasets` library so I'll ping @lhoestq @mariosasko on this one :) \n\n(edit: also can one of you move the issue to the datasets repo? Thanks in advance 🙏)",
"Hi ! The `Image()` info is stored in the **schema m... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hello,
I'd like to report an issue related to pushing a dataset represented as a Parquet file to a dataset repository using Dask. Here are the details:
We attempted to load an example dataset in Parquet format from the Hugging Face (HF) filesystem using Dask with the following code snippet... | 2023-06-16T12:48:38Z | https://github.com/huggingface/datasets/issues/5869 | {
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"Arrow files/primitives (tables and arrays) are immutable, so re-generating them is the only option, I'm afraid.",
"> \r\n\r\nGot it, thanks for your reply"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | 2023-05-17T11:21:36Z | https://github.com/huggingface/datasets/issues/5868 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fix https://github.com/huggingface/datasets/issues/5839
PS: The `Pickler.save` method is becoming a bit messy, so I plan to refactor the pickler a bit at some point. | 2024-01-11T06:30:50Z | https://github.com/huggingface/datasets/pull/5867 | {
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"Thanks for reporting! I've opened a PR with a fix."
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Sequences features sometimes causes errors when the specified length is not -1
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Features, ClassLabel, Sequence, Value, Dataset
feats = Features(**{'target': ClassLabel(names=[0, 1]),'x': Sequence(feature=Va... | 2023-05-26T11:57:17Z | https://github.com/huggingface/datasets/issues/5866 | {
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"gists_url"... | Deprecate task api | https://api.github.com/repos/huggingface/datasets/issues/5865/events | null | https://api.github.com/repos/huggingface/datasets/issues/5865/labels{/name} | 2023-05-15T16:48:24Z | null | false | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"If it's easy to keep supporting it we can keep it no ? There are many datasets on the hub that implement the tasks templates in dataset scripts and it's maybe easier to keep task templates than opening PRs to those datasets.",
"do ... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | The task API is not well adopted in the ecosystem, so this PR deprecates it. The `train_eval_index` is a newer, more flexible solution that should be used instead (I think?).
These are the projects that still use the task API :
* the image classification example in Transformers: [here](https://github.com/huggingfac... | 2023-07-10T12:33:59Z | https://github.com/huggingface/datasets/pull/5865 | {
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"I am highly interested performance of dataset so I ran your example as a curious user.\r\n```python\r\ntrain_dataset.cast_column(\"x\", Array3D(shape=img_shape, dtype=\"float32\"))\r\n```\r\nhave return values and \"x\" is a new column, it shoulde be\r\n```python\r\nds=train_dataset.cast_column(\"img\", Array3D(sh... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I have a problem related to this [issue](https://github.com/huggingface/datasets/issues/5841): I get a way slower iteration when using a Torch dataloader if I use vanilla Numpy tensors or if I first apply a ToTensor transform to the input. In particular, it takes 5 seconds to iterate over the vani... | 2023-05-16T03:27:38Z | https://github.com/huggingface/datasets/issues/5864 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5863). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR tries out a new approach to generating the index tensor in `to_tf_dataset`, which should reduce memory usage for very large datasets. I'll need to do some testing before merging it!
Fixes #5855 | 2023-06-08T16:40:18Z | https://github.com/huggingface/datasets/pull/5863 | {
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"This error is also raised when data is hosted on Google Drive:\r\n- https://huggingface.co/datasets/docred/discussions/5\r\n- https://huggingface.co/datasets/linnaeus/discussions/3\r\n- https://huggingface.co/datasets/poleval2019_mt/discussions/3\r\n- https://huggingface.co/datasets/reddit_tifu/discussions/2\r\n- ... | https://api.github.com/repos/huggingface/datasets | MEMBER | The dataset viewer sometimes raises an `IndexError`:
```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingface.co/datasets/krr-oxford/OntoLAMA/discussions/1
- https://hu... | 2023-09-25T12:09:51Z | https://github.com/huggingface/datasets/issues/5862 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | MEMBER | close https://github.com/huggingface/datasets/issues/5851 | 2023-05-23T10:40:13Z | https://github.com/huggingface/datasets/pull/5861 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | MEMBER | Don't create a tqdm progress bar when `disable_tqdm` is passed to `map_nested`.
On my side it sped up some iterable datasets by ~30% when `map_nested` is used extensively to recursively tensorize python dicts. | 2023-05-17T18:46:46Z | https://github.com/huggingface/datasets/pull/5860 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq any idea why this only fails (CI integration fails are unrelated) in \"Build PR Documentation / build / build_pr_documentation\" (which uses Python 3.8), with message:\r\n```\r\nTypeError: Type subscription requires python >... | https://api.github.com/repos/huggingface/datasets | MEMBER | Fix #5858. | 2023-05-25T16:31:24Z | https://github.com/huggingface/datasets/pull/5859 | {
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"Thanks for reporting, @sarahwie.\r\n\r\nPlease note that in `datasets` we do not have vectorized operation like `pandas`. Therefore, your equality comparisons above are `False`:\r\n- For example: `squad['question']` returns a `list`, and this list is not equal to `\"Who was the Norse leader?\"`\r\n\r\nThe `False` ... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="validati... | 2023-05-25T16:23:19Z | https://github.com/huggingface/datasets/issues/5858 | {
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"Hi! \r\n\r\nThis would be a nice addition to the Hub! You can find the existing chemistry datasets/models on the Hub (using the `chemistry` tag) [here](https://huggingface.co/search/full-text?q=chemistry&type=model&type=dataset).\r\n\r\nFeel free to ping us here on the Hub if you need help adding the datasets.\r\n... | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensive ben... | 2023-07-21T13:45:40Z | https://github.com/huggingface/datasets/issues/5857 | {
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"Hi! You can avoid this error by using the preprocessed version:\r\n```python\r\nimport datasets\r\nds = datasets.load_dataset('natural_questions')\r\n```\r\n\r\nPS: Once we finish https://github.com/huggingface/datasets/pull/5364, this error will no longer be a problem.",
"> Hi! You can avoid this error by using... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When try to load natural_questions through datasets == 2.12.0 with python == 3.8.9:
```python
import datasets
datasets.load_dataset('natural_questions',beam_runner='DirectRunner')
```
It failed with following info:
`pyarrow.lib.ArrowNotImplementedError: Nested data conversions not impl... | 2023-06-05T09:11:19Z | https://github.com/huggingface/datasets/issues/5856 | {
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"Cc @amyeroberts @Rocketknight1 \r\n\r\nIndded I think it's because it does something like this under the hood when there's no multiprocessing:\r\n\r\n```python\r\ntf_dataset = tf_dataset.shuffle(len(dataset))\r\n```\r\n\r\nPS: with multiprocessing it appears to be different:\r\n\r\n```python\r\nindices = np.arange... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://github.... | 2023-06-08T16:32:52Z | https://github.com/huggingface/datasets/issues/5855 | {
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"Hi! `audiofolder` requires `datasets>=2.5.0`, so please update the `datasets`' installation (`pip install -U datasets`) in the environment (and restart the env for the update to take effect) to resolve the issue.",
"> Hi! `audiofolder` requires `datasets>=2.5.0`, so please update the `datasets`' installation (`p... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
It's crash log:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/audiofolder/audiofolder.py or any data file in the same directory. Couldn't find 'audiofolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingfac... | 2023-08-16T13:35:36Z | https://github.com/huggingface/datasets/issues/5854 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@mishig25 note that it's not exactly the same behavior as in nginx as here it interacts a bit with the `version` and the `language`\r\n\r\nShould be close enough, though.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow=... | https://api.github.com/repos/huggingface/datasets | MEMBER | null | 2023-05-15T10:37:19Z | https://github.com/huggingface/datasets/pull/5853 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | https://api.github.com/repos/huggingface/datasets | MEMBER | Used the TorchFormatter to get torch tensors in iterable dataset with format set to "torch".
It uses the data from Arrow if possible, otherwise applies recursive_tensorize.
When set back to format_type=None, cast_to_python_objects is used.
requires https://github.com/huggingface/datasets/pull/5821
close htt... | 2023-06-13T16:04:05Z | https://github.com/huggingface/datasets/pull/5852 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5850). All of your documentation changes will be reflected on that endpoint.",
"Good idea. @mariosasko!!!\r\n\r\nPlease note that before this PR, the files are not evenly distributed for archives: `_generate_examples` gets a li... | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR makes packaged builders skip non-supported file formats:
- Csv builder skips non-CSV files
- Analogously for the other builders
Fix #5849. | 2023-06-07T12:26:38Z | https://github.com/huggingface/datasets/pull/5850 | {
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I think the Csv builder should filter out non-CSV files when reading.
An analogue solution should be implemented for other packaged builders.
... | 2023-06-22T14:16:27Z | https://github.com/huggingface/datasets/issues/5849 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | The `frugalscore` metric uses Transformers' Trainer, which requires `accelerate` (as of recently).
Fixes the following [CI error](https://github.com/huggingface/datasets/actions/runs/4950900048/jobs/8855148703?pr=5845). | 2023-05-12T13:48:47Z | https://github.com/huggingface/datasets/pull/5848 | {
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"I wasn't sure to file this against transformers or datasets.",
"[`KeyDataset`](https://github.com/huggingface/transformers/blob/7f8b909189547944617741d8d3c6c84504701693/src/transformers/pipelines/pt_utils.py#L296) doesn't support iterable datasets, so you either need to implement a version that does (and also in... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I'm trying to use a streaming dataset for translation inference to avoid downloading the training data.
I'm using a pipeline and a dataset, and following the guidance in the tutorial.
Instead I get an exception that IterableDataset has no len().
### Steps to reproduce the bug
CODE:
```
... | 2023-05-16T15:59:55Z | https://github.com/huggingface/datasets/issues/5847 | {
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction
I'm tr... | 2023-05-23T10:32:59Z | https://github.com/huggingface/datasets/issues/5851 | {
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"gists... | load_dataset('bigcode/the-stack-dedup', streaming=True) very slow! | https://api.github.com/repos/huggingface/datasets/issues/5846/events | null | https://api.github.com/repos/huggingface/datasets/issues/5846/labels{/name} | 2023-05-11T17:58:57Z | null | false | {
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"This is due to the slow resolution of the data files: https://github.com/huggingface/datasets/issues/5537.\r\n\r\nWe plan to switch to `huggingface_hub`'s `HfFileSystem` soon to make the resolution faster (will be up to 20x faster once we merge https://github.com/huggingface/huggingface_hub/pull/1443)\r\n\r\n",
... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Running
```
import datasets
ds = datasets.load_dataset('bigcode/the-stack-dedup', streaming=True)
```
takes about 2.5 minutes!
I would expect this to be near instantaneous. With other datasets, the runtime is one or two seconds.
### Environment info
- `datasets` version: 2.1... | 2023-05-16T03:23:46Z | https://github.com/huggingface/datasets/issues/5846 | {
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https://api.github.com/repos/huggingface/datasets/issues/5845/comments | https://api.github.com/repos/huggingface/datasets/issues/5845/timeline | 2023-05-12T15:14:48Z | null | null | PR_kwDODunzps5QUMjS | closed | [] | false | 5,845 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Adds the `date_format` param introduced in Pandas 2.0 to the CSV reader and improves its type hints. | 2023-05-15T07:39:13Z | https://github.com/huggingface/datasets/pull/5845 | {
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"gists_u... | TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to ... | https://api.github.com/repos/huggingface/datasets/issues/5844/events | null | https://api.github.com/repos/huggingface/datasets/issues/5844/labels{/name} | 2023-05-11T14:15:01Z | null | false | null | null | 1,705,907,812 | [] | https://api.github.com/repos/huggingface/datasets/issues/5844 | [] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to {'answer': {'unanswerable': Value(dtype='bool', id=None),... | 2023-05-11T14:15:01Z | https://github.com/huggingface/datasets/issues/5844 | {
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https://api.github.com/repos/huggingface/datasets/issues/5841/comments | https://api.github.com/repos/huggingface/datasets/issues/5841/timeline | 2023-05-15T15:38:13Z | null | completed | I_kwDODunzps5lpJvv | closed | [] | null | 5,841 | {
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"gists_url": "https://api.... | Abusurdly slow on iteration | https://api.github.com/repos/huggingface/datasets/issues/5841/events | null | https://api.github.com/repos/huggingface/datasets/issues/5841/labels{/name} | 2023-05-11T08:04:09Z | null | false | null | null | 1,705,286,639 | [] | https://api.github.com/repos/huggingface/datasets/issues/5841 | [
"Hi ! You can try to use the [Image](https://huggingface.co/docs/datasets/v2.12.0/en/package_reference/main_classes#datasets.Image) type which [decodes images on-the-fly](https://huggingface.co/docs/datasets/v2.12.0/en/about_dataset_features#image-feature) into pytorch tensors :)\r\n\r\n```python\r\nds = Dataset.fr... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
ds=Dataset.from_d... | 2023-05-15T15:38:13Z | https://github.com/huggingface/datasets/issues/5841 | {
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https://api.github.com/repos/huggingface/datasets/issues/5840/comments | https://api.github.com/repos/huggingface/datasets/issues/5840/timeline | 2023-05-12T13:44:06Z | null | completed | I_kwDODunzps5lo3i1 | closed | [] | null | 5,840 | {
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"gists_url": "... | load model error. | https://api.github.com/repos/huggingface/datasets/issues/5840/events | null | https://api.github.com/repos/huggingface/datasets/issues/5840/labels{/name} | 2023-05-11T07:12:38Z | null | false | null | null | 1,705,212,085 | [] | https://api.github.com/repos/huggingface/datasets/issues/5840 | [
"Please report this in the `transformers` repo, as it's not related to `datasets`"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I had trained one model use deepspeed, when I load the final load I get the follow error:
OSError: Can't load tokenizer for '/XXX/DeepSpeedExamples/applications/DeepSpeed-Chat/output/step3-models/1.3b/actor'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't ... | 2023-05-12T13:44:07Z | https://github.com/huggingface/datasets/issues/5840 | {
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https://api.github.com/repos/huggingface/datasets/issues/5842/comments | https://api.github.com/repos/huggingface/datasets/issues/5842/timeline | 2023-06-21T16:36:41Z | null | completed | I_kwDODunzps5lqAbK | closed | [] | null | 5,842 | {
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"Transferring this issue as it's related to the 🤗 Datasets library ",
"Hi @surya-narayanan! Could you provide some code snippet?",
"This method has been recently added to the `IterableDataset`, so you need to update the `datasets`' installation (`pip install -U datasets`) to use it."
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Right now, remove_columns() produces a NotImplementedError for iterable style datasets
### Motivation
It would be great to have the same functionality irrespective of whether one is using an iterable or a map-style dataset
### Your contribution
hope and courage. | 2023-06-21T16:36:42Z | https://github.com/huggingface/datasets/issues/5842 | {
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https://api.github.com/repos/huggingface/datasets/issues/5843/comments | https://api.github.com/repos/huggingface/datasets/issues/5843/timeline | 2023-05-25T04:51:59Z | null | completed | I_kwDODunzps5lqBY3 | closed | [] | null | 5,843 | {
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"following_url": "https://api.github.com/users/surya-narayanan/following{/other_user}"... | Can't add iterable datasets to a Dataset Dict. | https://api.github.com/repos/huggingface/datasets/issues/5843/events | null | https://api.github.com/repos/huggingface/datasets/issues/5843/labels{/name} | 2023-05-11T02:09:29Z | null | false | null | null | 1,705,514,551 | [] | https://api.github.com/repos/huggingface/datasets/issues/5843 | [
"Transferring as this is relating to the 🤗 Datasets library",
"You need to use `IterableDatasetDict` instead of `DatasetDict` for iterable datasets."
] | https://api.github.com/repos/huggingface/datasets | NONE | ### System Info
standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Get th... | 2023-05-25T04:51:59Z | https://github.com/huggingface/datasets/issues/5843 | {
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https://api.github.com/repos/huggingface/datasets/issues/5839/comments | https://api.github.com/repos/huggingface/datasets/issues/5839/timeline | 2023-11-28T16:29:33Z | null | completed | I_kwDODunzps5lmXDe | closed | [
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"gists_url"... | Make models/functions optimized with `torch.compile` hashable | https://api.github.com/repos/huggingface/datasets/issues/5839/events | null | https://api.github.com/repos/huggingface/datasets/issues/5839/labels{/name} | 2023-05-10T20:02:08Z | null | false | {
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The solutions to consider:
1. hashing/pickling... | 2023-11-28T16:29:33Z | https://github.com/huggingface/datasets/issues/5839 | {
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https://api.github.com/repos/huggingface/datasets/issues/5838/comments | https://api.github.com/repos/huggingface/datasets/issues/5838/timeline | 2023-05-12T09:37:45Z | null | completed | I_kwDODunzps5lhO9g | closed | [] | null | 5,838 | {
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"As the name says, `load_from_disk` load the data from your disk. If the data is hosted on S3, it is first downloaded locally and then loaded from your disk.\r\n\r\nThere is a discussion on streaming data from S3 here though: #5281 ",
"@lhoestq \r\nThanks for your comment. I have checked out the discussion before... | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 2023-05-12T09:37:45Z | https://github.com/huggingface/datasets/issues/5838 | {
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https://api.github.com/repos/huggingface/datasets/issues/5837/comments | https://api.github.com/repos/huggingface/datasets/issues/5837/timeline | null | null | null | I_kwDODunzps5lggUo | open | [] | null | 5,837 | {
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"gists_url": "... | Use DeepSpeed load myself " .csv " dataset. | https://api.github.com/repos/huggingface/datasets/issues/5837/events | null | https://api.github.com/repos/huggingface/datasets/issues/5837/labels{/name} | 2023-05-10T02:39:28Z | null | false | null | null | 1,703,019,816 | [] | https://api.github.com/repos/huggingface/datasets/issues/5837 | [
"Hi ! Doing `load_dataset(\"path/to/data.csv\")` is not supported yet, but you can do\r\n\r\n```python\r\nds = load_dataset(\"csv\", data_files=[\"path/to/data.csv\"])\r\n```",
"@lhoestq thank you.",
"The other question: \r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n Fil... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When I use DeepSpeed train a model with my own " XXX.csv" dataset I got the follow question:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/fm001/.conda/envs/hzl/lib/python3.8/site-packages/datasets/load.py", line 1767, in load_dataset
builder_instan... | 2023-05-15T03:51:36Z | https://github.com/huggingface/datasets/issues/5837 | {
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https://api.github.com/repos/huggingface/datasets/issues/5836/comments | https://api.github.com/repos/huggingface/datasets/issues/5836/timeline | 2023-05-10T20:23:03Z | null | null | PR_kwDODunzps5QIgzu | closed | [] | false | 5,836 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5836). All of your documentation changes will be reflected on that endpoint.",
"The error seems unrelated to the changes, so feel free to merge.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\... | https://api.github.com/repos/huggingface/datasets | MEMBER | Adds custom decoding transform solution to the docs to fix #5782. | 2023-05-15T07:36:12Z | https://github.com/huggingface/datasets/pull/5836 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | MEMBER | This fixes loading of e.g. parquet data with non-nullable fields.
Indeed `datasets.Features` doesn't support non-nullable fields, which can lead to data not concatenable due to arrow schema mismatch. | 2023-05-23T16:10:29Z | https://github.com/huggingface/datasets/pull/5835 | {
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https://api.github.com/repos/huggingface/datasets/issues/5834/comments | https://api.github.com/repos/huggingface/datasets/issues/5834/timeline | 2023-05-13T05:04:21Z | null | completed | I_kwDODunzps5leU78 | closed | [] | null | 5,834 | {
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"gists_url"... | Is uint8 supported? | https://api.github.com/repos/huggingface/datasets/issues/5834/events | null | https://api.github.com/repos/huggingface/datasets/issues/5834/labels{/name} | 2023-05-09T17:31:13Z | null | false | null | null | 1,702,448,892 | [] | https://api.github.com/repos/huggingface/datasets/issues/5834 | [
"Hi ! The numpy formatting detaults to int64 and float32 - but you can use uint8 using\r\n```python\r\nds = ds.with_format(\"numpy\", dtype=np.uint8)\r\n```",
"Related to https://github.com/huggingface/datasets/issues/5517.",
"Thank you!\r\nBy setting `ds.with_format(\"numpy\", dtype=np.uint8)`, the dataset ret... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I expect the dataset to store the data in the `uint8` data type, but it's returning `int64` instead.
While I've found that `datasets` doesn't yet support float16 (https://github.com/huggingface/datasets/issues/4981), I'm wondering if this is the case for other data types as well.
Is there a way ... | 2023-05-13T05:04:21Z | https://github.com/huggingface/datasets/issues/5834 | {
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https://api.github.com/repos/huggingface/datasets/issues/5833/comments | https://api.github.com/repos/huggingface/datasets/issues/5833/timeline | 2023-10-24T18:22:29Z | null | completed | I_kwDODunzps5ldr3q | closed | [
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"Thanks for reporting, @agombert.\r\n\r\nIn this case, I think the root issue is authentication: before pushing to Hub, you should authenticate. See our docs: https://huggingface.co/docs/datasets/upload_dataset#upload-with-python\r\n> 2. To upload a dataset on the Hub in Python, you need to log in to your Hugging F... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | 2023-10-24T18:22:29Z | https://github.com/huggingface/datasets/issues/5833 | {
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https://api.github.com/repos/huggingface/datasets/issues/5832/comments | https://api.github.com/repos/huggingface/datasets/issues/5832/timeline | 2023-05-09T14:25:59Z | null | completed | I_kwDODunzps5ldIYo | closed | [] | null | 5,832 | {
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"gist... | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | https://api.github.com/repos/huggingface/datasets/issues/5832/events | null | https://api.github.com/repos/huggingface/datasets/issues/5832/labels{/name} | 2023-05-09T14:14:59Z | null | false | null | null | 1,702,135,336 | [] | https://api.github.com/repos/huggingface/datasets/issues/5832 | [
"moved to https://github.com/huggingface/transformers/issues/23233"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Running [Bert-Large-Cased](https://huggingface.co/bert-large-cased) model causes `HTTPError`, with the following traceback-
```
HTTPError Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_pretra... | 2023-05-09T14:25:59Z | https://github.com/huggingface/datasets/issues/5832 | {
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https://api.github.com/repos/huggingface/datasets/issues/5831/comments | https://api.github.com/repos/huggingface/datasets/issues/5831/timeline | null | null | reopened | I_kwDODunzps5lb55L | open | [] | null | 5,831 | {
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"I am experiencing the same problem with the following environment:\r\n\r\n* `datasets` version: 2.11.0\r\n* Platform: `Linux 5.19.0-41-generic x86_64 GNU/Linux`\r\n* Python version: `3.8.5`\r\n* Huggingface_hub version: 0.13.3\r\n* PyArrow version: `11.0.0`\r\n* Pandas version: `1.5.3`\r\n\r\nTrying to get some di... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I have already cached the dataset using:
```
dataset = load_dataset("databricks/databricks-dolly-15k",
cache_dir="/mnt/data/llm/datasets/databricks-dolly-15k")
```
After that, I tried to load it again using the same machine, I got this error:
```
Traceback (most rece... | 2023-05-10T01:48:20Z | https://github.com/huggingface/datasets/issues/5831 | {
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https://api.github.com/repos/huggingface/datasets/issues/5829/comments | https://api.github.com/repos/huggingface/datasets/issues/5829/timeline | 2023-05-09T00:46:42Z | null | completed | I_kwDODunzps5lU02t | closed | [] | null | 5,829 | {
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"gists_url": "https:... | (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')) | https://api.github.com/repos/huggingface/datasets/issues/5829/events | null | https://api.github.com/repos/huggingface/datasets/issues/5829/labels{/name} | 2023-05-08T10:07:14Z | null | false | null | null | 1,699,958,189 | [] | https://api.github.com/repos/huggingface/datasets/issues/5829 | [
"Can you paste the error stack trace?",
"That is weird. I can't reproduce it again after reboot.\r\n```python\r\nIn [2]: import platform\r\n\r\nIn [3]: platform.platform()\r\nOut[3]: 'macOS-13.2-arm64-arm-64bit'\r\n\r\nIn [4]: from datasets import load_dataset\r\n ...:\r\n ...: jazzy = load_dataset(\"nomic-ai... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
M2 MBP can't run
```python
from datasets import load_dataset
jazzy = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision='v1.2-jazzy')
```
### Steps to reproduce the bug
1. Use M2 MBP
2. Python 3.10.10 from pyenv
3. Run
```
from datasets import load_dataset
jazzy = load_... | 2023-06-30T11:39:14Z | https://github.com/huggingface/datasets/issues/5829 | {
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https://api.github.com/repos/huggingface/datasets/issues/5828/comments | https://api.github.com/repos/huggingface/datasets/issues/5828/timeline | 2023-05-10T05:05:47Z | null | completed | I_kwDODunzps5lSEeb | closed | [] | null | 5,828 | {
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"Hi! \r\n\r\nYou can call `map` as follows to avoid the error:\r\n```python\r\naugmented_dataset_cln = dataset_cln['train'].map(augment_dataset, features=dataset_cln['train'].features)\r\n```",
"Thanks it is solved",
"Hi! \r\nI have run into the same problem with you. Could you please let me know how you solve ... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I am not able to concatenate the augmentation of the stream data. I am using the latest version of dataset.
ValueError: The features can't be aligned because the key audio of features {'audio_id': Value(dtype='string',
id=None), 'audio': {'array': Sequence(feature=Value(dtype='float32', id=... | 2023-06-29T20:07:56Z | https://github.com/huggingface/datasets/issues/5828 | {
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https://api.github.com/repos/huggingface/datasets/issues/5827/comments | https://api.github.com/repos/huggingface/datasets/issues/5827/timeline | null | null | null | I_kwDODunzps5lQwXu | open | [] | null | 5,827 | {
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"gists_url"... | load json dataset interrupt when dtype cast problem occured | https://api.github.com/repos/huggingface/datasets/issues/5827/events | null | https://api.github.com/repos/huggingface/datasets/issues/5827/labels{/name} | 2023-05-07T04:52:09Z | null | false | null | null | 1,698,891,246 | [] | https://api.github.com/repos/huggingface/datasets/issues/5827 | [
"Indeed the JSON dataset builder raises an error when it encounters an unexpected type.\r\n\r\nThere's an old PR open to add away to ignore such elements though, if it can help: https://github.com/huggingface/datasets/pull/2838"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
，which have several problematic rows data like row 2, then i load it with datasets.load_dataset('json', data_files=['xx.json'], split='train'), it will report like this:
... | 2023-05-10T12:32:28Z | https://github.com/huggingface/datasets/issues/5827 | {
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https://api.github.com/repos/huggingface/datasets/issues/5826/comments | https://api.github.com/repos/huggingface/datasets/issues/5826/timeline | 2023-05-25T08:46:15Z | null | null | PR_kwDODunzps5P5FYZ | closed | [] | false | 5,826 | {
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"gis... | Support working_dir in from_spark | https://api.github.com/repos/huggingface/datasets/issues/5826/events | null | https://api.github.com/repos/huggingface/datasets/issues/5826/labels{/name} | 2023-05-05T20:22:40Z | null | false | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Added env var",
"@lhoestq would you or another maintainer be able to review please? :)",
"I removed the env var",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!<... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Accept `working_dir` as an argument to `Dataset.from_spark`. Setting a non-NFS working directory for Spark workers to materialize to will improve write performance. | 2023-05-25T17:45:54Z | https://github.com/huggingface/datasets/pull/5826 | {
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https://api.github.com/repos/huggingface/datasets/issues/5825/comments | https://api.github.com/repos/huggingface/datasets/issues/5825/timeline | 2023-08-16T10:02:01Z | null | completed | I_kwDODunzps5lKyl7 | closed | [] | null | 5,825 | {
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"Hi! \r\n\r\nThis would only work if `bigscience/xP3` was a no-code dataset, but it isn't (it has a Python builder script).\r\n\r\nBut this should work: \r\n```python\r\nload_dataset(\"json\", data_files=\"https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_a... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | 2023-08-16T10:02:01Z | https://github.com/huggingface/datasets/issues/5825 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes #5820
Also fixed a couple of typos I spotted | 2023-05-05T12:39:14Z | https://github.com/huggingface/datasets/pull/5824 | {
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https://api.github.com/repos/huggingface/datasets/issues/5823/comments | https://api.github.com/repos/huggingface/datasets/issues/5823/timeline | 2023-05-05T15:01:17Z | null | completed | I_kwDODunzps5lJosV | closed | [] | null | 5,823 | {
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"Hi ! Can you try adding the `s3://` prefix ?\r\n```python\r\nf\"s3://{s3_bucket}/{s3_dir}/{dataset_name}\"\r\n```",
"Ugh, yeah that was it. Thank you!"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When trying to save a `DatasetDict` to a private S3 bucket using `save_to_disk`, the artifacts are instead saved locally, and not in the S3 bucket.
I have tried using the deprecated `fs` as well as the `storage_options` arguments and I get the same results.
### Steps to reproduce the bug
1. C... | 2023-05-05T15:01:18Z | https://github.com/huggingface/datasets/issues/5823 | {
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https://api.github.com/repos/huggingface/datasets/issues/5822/comments | https://api.github.com/repos/huggingface/datasets/issues/5822/timeline | 2023-05-11T20:45:53Z | null | completed | I_kwDODunzps5lIHps | closed | [] | null | 5,822 | {
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"Hi ! Can you try with a more recent version of `datasets` ?",
"Ok, yes it worked with the most recent version. Thanks"
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
.with... | 2023-05-11T20:45:53Z | https://github.com/huggingface/datasets/issues/5822 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | https://api.github.com/repos/huggingface/datasets | MEMBER | Adding an optional `.iter_arrow` to examples iterable. This allows to use Arrow formatting in map/filter.
This will also be useful for torch formatting, since we can reuse the TorchFormatter that converts Arrow data to torch tensors
Related to https://github.com/huggingface/datasets/issues/5793 and https://github... | 2023-05-31T09:43:26Z | https://github.com/huggingface/datasets/pull/5821 | {
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"Thanks for reporting! You are more than welcome to improve `BuilderConfig`'s docstring.\r\n\r\nThis class serves an identical purpose as `tensorflow_datasets`'s `BuilderConfig`, and its docstring is [here](https://github.com/tensorflow/datasets/blob/a95e38b5bb018312c3d3720619c2a8ef83ebf57f/tensorflow_datasets/core... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi guys !
I stumbled upon this docstring while working on a project.
Some of the attributes have missing descriptions.
https://github.com/huggingface/datasets/blob/bc5fef5b6d91f009e4101684adcb374df2c170f6/src/datasets/builder.py#L104-L117 | 2023-05-05T12:31:56Z | https://github.com/huggingface/datasets/issues/5820 | {
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https://api.github.com/repos/huggingface/datasets/issues/5819/comments | https://api.github.com/repos/huggingface/datasets/issues/5819/timeline | 2023-05-05T19:20:58Z | null | completed | I_kwDODunzps5lD9Zi | closed | [] | null | 5,819 | {
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"gists_url"... | Cannot pickle error in Dataset.from_generator() | https://api.github.com/repos/huggingface/datasets/issues/5819/events | null | https://api.github.com/repos/huggingface/datasets/issues/5819/labels{/name} | 2023-05-04T08:39:09Z | null | false | null | null | 1,695,536,738 | [] | https://api.github.com/repos/huggingface/datasets/issues/5819 | [
"Hi! It should work if you put `model = torch.compile(model)` inside the `generate_data` function. If a referenced object is outside, it needs to be pickable, and that's not the case for the compiled models (or functions). ",
"> Hi! It should work if you put `model = torch.compile(model)` inside the `generate_da... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I'm trying to use Dataset.from_generator() to generate a large dataset.
### Steps to reproduce the bug
Code to reproduce:
```
from transformers import T5Tokenizer, T5ForConditionalGeneration, GenerationConfig
import torch
from tqdm import tqdm
from datasets import load_dataset
tokenizer... | 2023-05-05T19:20:59Z | https://github.com/huggingface/datasets/issues/5819 | {
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https://api.github.com/repos/huggingface/datasets/issues/5818/comments | https://api.github.com/repos/huggingface/datasets/issues/5818/timeline | null | null | null | I_kwDODunzps5lCHML | open | [] | null | 5,818 | {
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"This [reply](https://discuss.huggingface.co/t/how-do-i-add-things-rows-to-an-already-saved-dataset/27423) from @mariosasko on the forums may be useful :)",
"In this case, I think we can avoid the `PermissionError` by unpacking the underlying `ConcatenationTable` and saving only the newly added data blocks (in ne... | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
dataset.sav... | 2023-05-04T20:43:39Z | https://github.com/huggingface/datasets/issues/5818 | {
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https://api.github.com/repos/huggingface/datasets/issues/5817/comments | https://api.github.com/repos/huggingface/datasets/issues/5817/timeline | 2023-05-04T20:22:25Z | null | completed | I_kwDODunzps5lBf9a | closed | [] | null | 5,817 | {
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"following_url": "https://api.github.com/users/davidgilbertson/following{/other_user}",... | Setting `num_proc` errors when `.map` returns additional items. | https://api.github.com/repos/huggingface/datasets/issues/5817/events | null | https://api.github.com/repos/huggingface/datasets/issues/5817/labels{/name} | 2023-05-03T21:46:53Z | null | false | null | null | 1,694,891,866 | [] | https://api.github.com/repos/huggingface/datasets/issues/5817 | [
"Hi ! Unfortunately I couldn't reproduce on my side locally and with datasets 2.11 and python 3.10.11 on colab.\r\nWhat version of `multiprocess` are you using ?",
"I've got `multiprocess` version `0.70.14`.\r\n\r\nI've done some more testing and the error only occurs in PyCharm's Python Console. It seems to be [... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | 2023-05-04T21:14:21Z | https://github.com/huggingface/datasets/issues/5817 | {
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https://api.github.com/repos/huggingface/datasets/issues/5816/comments | https://api.github.com/repos/huggingface/datasets/issues/5816/timeline | 2023-05-04T14:24:49Z | null | null | PR_kwDODunzps5Ps4t9 | closed | [] | false | 5,816 | {
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"gists_url"... | Preserve `stopping_strategy` of shuffled interleaved dataset (random cycling case) | https://api.github.com/repos/huggingface/datasets/issues/5816/events | null | https://api.github.com/repos/huggingface/datasets/issues/5816/labels{/name} | 2023-05-03T18:34:18Z | null | false | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Preserve the `stopping_strategy` in the `RandomlyCyclingMultiSourcesExamplesIterable.shard_data_sources` to fix shuffling a dataset interleaved (from multiple sources) with probabilities.
Fix #5812
| 2023-05-04T14:31:55Z | https://github.com/huggingface/datasets/pull/5816 | {
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https://api.github.com/repos/huggingface/datasets/issues/5814/comments | https://api.github.com/repos/huggingface/datasets/issues/5814/timeline | 2024-01-08T18:30:45Z | null | null | PR_kwDODunzps5PoOQ9 | closed | [] | false | 5,814 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5814). All of your documentation changes will be reflected on that endpoint."
] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | null | 2024-01-08T18:30:45Z | https://github.com/huggingface/datasets/pull/5814 | {
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https://api.github.com/repos/huggingface/datasets/issues/5815/comments | https://api.github.com/repos/huggingface/datasets/issues/5815/timeline | null | null | null | I_kwDODunzps5k89Zv | open | [] | null | 5,815 | {
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"Hi @hrbigelow , I'm no expert for such a question so I'll ping @lhoestq from the `datasets` library (also this issue could be moved there if someone with permission can do it :) )",
"Hi ! Many datasets are made of several files, and how they are parsed often requires a python script. Because of that, datasets li... | https://api.github.com/repos/huggingface/datasets | NONE | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | 2023-07-26T16:13:31Z | https://github.com/huggingface/datasets/issues/5815 | {
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"descrip... | https://api.github.com/repos/huggingface/datasets/issues/5812 | [] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
... | 2023-05-04T14:24:51Z | https://github.com/huggingface/datasets/issues/5812 | {
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"This error means a `DatasetBuilder` subclass that generates the dataset could not be found inside the script, so make sure `dushowxa-characters/dushowxa-characters.py `is a valid dataset script (assuming `path_or_dataset` is `dushowxa-characters`)\r\n\r\nAlso, we should improve the error to make it more obvious wh... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | 2023-05-05T17:44:03Z | https://github.com/huggingface/datasets/issues/5811 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry, the local test passed because it was inadvertently testing the main branch. I am currently fixing where the test failed.",
"- I have fixed the bug and addressed the above two points.\r\n- I have tested locally and confirmed ... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | # Overview
I've added an argument`fn_kwargs` for map and filter methods of `IterableDataset` and `IterableDatasetDict` classes.
# Details
Currently, the map and filter methods of some classes related to `IterableDataset` do not allow specifing the arguments passed to the function. This pull request adds `fn_kwargs... | 2023-05-22T08:12:39Z | https://github.com/huggingface/datasets/pull/5810 | {
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"Hi ! I don't remember exactly how it was done, but maybe you have to embed `f\"{title}<sep>{text}\"` ?\r\n\r\nUsing a HF tokenizer it corresponds to doing\r\n```python\r\ntokenized = tokenizer(titles, texts)\r\n```"
] | https://api.github.com/repos/huggingface/datasets | NONE | Hey guys!
Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | 2023-07-21T14:11:00Z | https://github.com/huggingface/datasets/issues/5809 | {
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"Hi @lhoestq or other maintainers, this is ready for review, could you please take a look?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5807). All of your documentation changes will be reflected on that endpoint.",
"Per the discussion in #5798, will implement with `jo... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | As proposed in https://github.com/huggingface/datasets/issues/5798, this adds support to parallelized downloading in `load_dataset` with Spark, which can speed up the process by distributing the workload to worker nodes.
Parallelizing dataset processing is not supported in this PR. | 2023-05-25T16:54:14Z | https://github.com/huggingface/datasets/pull/5807 | {
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"Implementing this makes sense (e.g., `tensorflow_datasets`' imagefolder returns image filenames). Also, in Datasets 3.0, we plan only to store the bytes of an image/audio, not its path, so this feature would be useful when the path info is still needed.",
"Hey @mariosasko, Can I work on this issue, this one seem... | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may interrupt... | 2024-01-21T16:38:29Z | https://github.com/huggingface/datasets/issues/5806 | {
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"I can work on this. The link to the tutorial seems to be broken though @polinaeterna. ",
"@isunitha98selvan would be great, thank you! which link are you talking about? I think it should work: https://huggingface.co/docs/datasets/create_dataset"
] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required f... | 2023-06-23T14:58:44Z | https://github.com/huggingface/datasets/issues/5805 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5804). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | https://api.github.com/repos/huggingface/datasets | MEMBER | null | 2023-04-28T10:18:51Z | https://github.com/huggingface/datasets/pull/5804 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | https://api.github.com/repos/huggingface/datasets | MEMBER | null | 2023-04-28T10:18:56Z | https://github.com/huggingface/datasets/pull/5803 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR adds validation of `data_files`, so that they are non-empty (str, list, or dict) or `None` (default).
See: https://github.com/huggingface/datasets/pull/5787#discussion_r1178862327 | 2023-04-27T14:59:47Z | https://github.com/huggingface/datasets/pull/5802 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR changes the permission of downloaded files to cache, so that the umask is taken into account.
Related to:
- #2157
Fix #5799.
CC: @stas00 | 2023-04-27T09:33:05Z | https://github.com/huggingface/datasets/pull/5800 | {
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```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | 2023-04-27T09:30:17Z | https://github.com/huggingface/datasets/issues/5799 | {
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"Hi ! We're using process pools for parallelism right now. I was wondering if there's a package that implements the same API as a process pool but runs with Spark under the hood ? That or something similar would be cool because users could use whatever distributed framework they want this way.\r\n\r\nFeel free to p... | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | 2023-05-25T14:11:41Z | https://github.com/huggingface/datasets/issues/5798 | {
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"Hi @haonan-li , thank you for the report! It seems to be a bug on the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) site, there is even no such dataset as `mbzuai/bactrian-x` on the Hub. I opened and [issue](https://github.com/huggingface/huggingface_hub/issues/1453) there.",
"I think `loa... | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | 2023-04-27T11:56:58Z | https://github.com/huggingface/datasets/issues/5797 | {
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