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https://api.github.com/repos/huggingface/datasets/issues/6501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6501/comments | https://api.github.com/repos/huggingface/datasets/issues/6501/events | https://github.com/huggingface/datasets/issues/6501 | 2,043,377,240 | I_kwDODunzps55y3ZY | 6,501 | OverflowError: value too large to convert to int32_t | {
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] | 2023-12-15T10:10:21Z | 2025-06-27T04:27:14Z | null | NONE | null | null | null | null | ### Describe the bug
### Steps to reproduce the bug
just loading datasets
### Expected behavior
how can I fix it
### Environment info
pip install /mnt/cluster/zhangfan/study_info/LLaMA-Factory/peft-0.6.0-py3... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6497/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6497/comments | https://api.github.com/repos/huggingface/datasets/issues/6497/events | https://github.com/huggingface/datasets/issues/6497 | 2,041,994,274 | I_kwDODunzps55tlwi | 6,497 | Support setting a default config name in push_to_hub | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2023-12-14T15:59:03Z | 2023-12-18T11:50:04Z | 2023-12-18T11:50:04Z | MEMBER | null | null | null | null | In order to convert script-datasets to no-script datasets, we need to support setting a default config name for those scripts that set one. | {
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https://api.github.com/repos/huggingface/datasets/issues/6496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6496/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6496/comments | https://api.github.com/repos/huggingface/datasets/issues/6496/events | https://github.com/huggingface/datasets/issues/6496 | 2,041,589,386 | I_kwDODunzps55sC6K | 6,496 | Error when writing a dataset to HF Hub: A commit has happened since. Please refresh and try again. | {
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"I transferred from datasets-server, since the issue is more about `datasets` and the integration with `huggingface_hub`."
] | 2023-12-14T11:24:54Z | 2023-12-14T12:22:21Z | null | NONE | null | null | null | null | **Describe the bug**
Getting a `412 Client Error: Precondition Failed` when trying to write a dataset to the HF hub.
```
huggingface_hub.utils._errors.HfHubHTTPError: 412 Client Error: Precondition Failed for url: https://huggingface.co/api/datasets/GLorr/test-dask/commit/main (Request ID: Root=1-657ae26f-3bd92b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6494/comments | https://api.github.com/repos/huggingface/datasets/issues/6494/events | https://github.com/huggingface/datasets/issues/6494 | 2,039,684,839 | I_kwDODunzps55kx7n | 6,494 | Image Data loaded Twice | {
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When I learn from https://huggingface.co/docs/datasets/image_load and try to load image data from a folder. I noticed that the image was read twice in the returned data. As you can see i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6495/comments | https://api.github.com/repos/huggingface/datasets/issues/6495/events | https://github.com/huggingface/datasets/issues/6495 | 2,039,708,529 | I_kwDODunzps55k3tx | 6,495 | Newline characters don't behave as expected when calling dataset.info | {
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- `transformers` version: 4.32.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.5
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cpu (False)
- Tensorflow version (GPU... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6490/comments | https://api.github.com/repos/huggingface/datasets/issues/6490/events | https://github.com/huggingface/datasets/issues/6490 | 2,037,204,892 | I_kwDODunzps55bUec | 6,490 | `load_dataset(...,save_infos=True)` not working without loading script | {
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"Also, once the README.md exists in the python environment it is used when loading another dataset in the same format (e.g. json) since it always resolves the path to the same directory.\r\nThe consequence here is any other dataset won't load because of infos mismatch.\r\nTo reproduce this aspect:\r\n1. Do a `load_... | 2023-12-12T08:09:18Z | 2023-12-12T08:36:22Z | null | NONE | null | null | null | null | ### Describe the bug
It seems that saving a dataset infos back into the card file is not working for datasets without a loading script.
After tracking the problem a bit it looks like saving the infos uses `Builder.get_imported_module_dir()` as its destination directory.
Internally this is a call to `inspect.getfil... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6489/comments | https://api.github.com/repos/huggingface/datasets/issues/6489/events | https://github.com/huggingface/datasets/issues/6489 | 2,036,743,777 | I_kwDODunzps55Zj5h | 6,489 | load_dataset imageflder for aws s3 path | {
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] | open | false | null | [] | null | [] | 2023-12-12T00:08:43Z | 2023-12-12T00:09:27Z | null | NONE | null | null | null | null | ### Feature request
I would like to load a dataset from S3 using the imagefolder option
something like
`dataset = datasets.load_dataset('imagefolder', data_dir='s3://.../lsun/train/bedroom', fs=S3FileSystem(), streaming=True) `
### Motivation
no need of data_files
### Your contribution
no experience... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6488/comments | https://api.github.com/repos/huggingface/datasets/issues/6488/events | https://github.com/huggingface/datasets/issues/6488 | 2,035,899,898 | I_kwDODunzps55WV36 | 6,488 | 429 Client Error | {
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"Transferring repos as this is a datasets issue ",
"I'm getting a similar issue even though I've already downloaded the dataset 😅 \r\n\r\n```\r\nhuggingface_hub.utils._errors.HfHubHTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/HuggingFaceM4/WebSight\r\n```"
] | 2023-12-11T15:06:01Z | 2024-06-20T05:55:45Z | null | NONE | null | null | null | null | Hello, I was downloading the following dataset and after 20% of data was downloaded, I started getting error 429. It is not resolved since a few days. How should I resolve it?
Thanks
Dataset:
https://huggingface.co/datasets/cerebras/SlimPajama-627B
Error:
`requests.exceptions.HTTPError: 429 Client Error: Too M... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6485/comments | https://api.github.com/repos/huggingface/datasets/issues/6485/events | https://github.com/huggingface/datasets/issues/6485 | 2,035,141,884 | I_kwDODunzps55Tcz8 | 6,485 | FileNotFoundError: [Errno 2] No such file or directory: 'nul' | {
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"Hi! It seems like the problem is your environment. Maybe this issue can help: https://github.com/pytest-dev/pytest/issues/9519. "
] | 2023-12-11T08:52:13Z | 2023-12-14T08:09:08Z | 2023-12-14T08:09:08Z | NONE | null | null | null | null | ### Describe the bug
it seems that sth wrong with my terrible "bug body" life, When i run this code, "import datasets"
i meet this error FileNotFoundError: [Errno 2] No such file or directory: 'nul'
![image](htt... | {
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https://api.github.com/repos/huggingface/datasets/issues/6483 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6483/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6483/comments | https://api.github.com/repos/huggingface/datasets/issues/6483/events | https://github.com/huggingface/datasets/issues/6483 | 2,032,946,981 | I_kwDODunzps55LE8l | 6,483 | Iterable Dataset: rename column clashes with remove column | {
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"Column \"text\" doesn't exist anymore so you can't remove it",
"You can get the expected result by fixing typos in the snippet :)\r\n```python\r\nfrom datasets import load_dataset\r\n\r\n# load LS in streaming mode\r\ndataset = load_dataset(\"librispeech_asr\", \"clean\", split=\"validation\", streaming=True)\r\... | 2023-12-08T16:11:30Z | 2023-12-08T16:27:16Z | 2023-12-08T16:27:04Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Suppose I have a two iterable datasets, one with the features:
* `{"audio", "text", "column_a"}`
And the other with the features:
* `{"audio", "sentence", "column_b"}`
I want to combine both datasets using `interleave_datasets`, which requires me to unify the column names. I would typic... | {
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https://api.github.com/repos/huggingface/datasets/issues/6484 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6484/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6484/comments | https://api.github.com/repos/huggingface/datasets/issues/6484/events | https://github.com/huggingface/datasets/issues/6484 | 2,033,333,294 | I_kwDODunzps55MjQu | 6,484 | [Feature Request] Dataset versioning | {
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"Hello @kenfus, this is meant to be possible to do yes. Let me ping @lhoestq or @mariosasko from the `datasets` team (`huggingface_hub` is only the underlying library to download files from the Hub but here it looks more like a `datasets` problem). ",
"Hi! https://github.com/huggingface/datasets/pull/6459 will fi... | 2023-12-08T16:01:35Z | 2023-12-11T19:13:46Z | null | NONE | null | null | null | null | **Is your feature request related to a problem? Please describe.**
I am working on a project, where I would like to test different preprocessing methods for my ML-data. Thus, I would like to work a lot with revisions and compare them. Currently, I was not able to make it work with the revision keyword because it was n... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6481 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6481/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6481/comments | https://api.github.com/repos/huggingface/datasets/issues/6481/events | https://github.com/huggingface/datasets/issues/6481 | 2,032,650,003 | I_kwDODunzps55J8cT | 6,481 | using torchrun, save_to_disk suddenly shows SIGTERM | {
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When I run my code using the "torchrun" command, when the code reaches the "save_to_disk" part, suddenly I get the following warning and error messages:
Because the dataset is too large, the "save_to_disk" function splits it into 70 parts for saving. However, an error occurs suddenly when it reac... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6478/comments | https://api.github.com/repos/huggingface/datasets/issues/6478/events | https://github.com/huggingface/datasets/issues/6478 | 2,028,071,596 | I_kwDODunzps544eqs | 6,478 | How to load data from lakefs | {
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"You can create a `pandas` DataFrame following [this](https://lakefs.io/data-version-control/dvc-using-python/) tutorial, and then convert this DataFrame to a `Dataset` with `datasets.Dataset.from_pandas`. For larger datasets (to memory map them), you can use `Dataset.from_generator` with a generator function that ... | 2023-12-06T09:04:11Z | 2024-07-03T19:13:57Z | 2024-07-03T19:13:56Z | CONTRIBUTOR | null | null | null | null | My dataset is stored on the company's lakefs server. How can I write code to load the dataset? It would be great if I could provide code examples or provide some references
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```
FAILED tests/test_load.py::test_loading_from_the_datasets_hub - NotADirectoryError: [WinError 267] The directory name is invalid: 'C:\\Users\\RUNNER~1\\AppData\\Local\\Temp\\tmpfcnps56i\\hf-internal-testing___dataset_with_script\... | {
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https://api.github.com/repos/huggingface/datasets/issues/6475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6475/comments | https://api.github.com/repos/huggingface/datasets/issues/6475/events | https://github.com/huggingface/datasets/issues/6475 | 2,027,373,734 | I_kwDODunzps5410Sm | 6,475 | laion2B-en failed to load on Windows with PrefetchVirtualMemory failed | {
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"~~You will see this error if the cache dir filepath contains relative `..` paths. Use `os.path.realpath(_CACHE_DIR)` before passing it to the `load_dataset` function.~~",
"This is a real issue and not related to paths.",
"Based on the StackOverflow answer, this causes the error to go away:\r\n```diff\r\ndiff -... | 2023-12-06T00:07:34Z | 2023-12-06T23:26:23Z | null | NONE | null | null | null | null | ### Describe the bug
I have downloaded laion2B-en, and I'm receiving the following error trying to load it:
```
Resolving data files: 100%|██████████| 128/128 [00:00<00:00, 1173.79it/s]
Traceback (most recent call last):
File "D:\Art-Workspace\src\artworkspace\tokeneval\compute_frequencies.py", line 31, in <mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6472/comments | https://api.github.com/repos/huggingface/datasets/issues/6472/events | https://github.com/huggingface/datasets/issues/6472 | 2,026,493,439 | I_kwDODunzps54ydX_ | 6,472 | CI quality is broken | {
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```
Would reformat: src/datasets/features/image.py
1 file would be reformatted, 253 files left unchanged
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https://api.github.com/repos/huggingface/datasets/issues/6470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6470/comments | https://api.github.com/repos/huggingface/datasets/issues/6470/events | https://github.com/huggingface/datasets/issues/6470 | 2,024,724,319 | I_kwDODunzps54rtdf | 6,470 | If an image in a dataset is corrupted, we get unescapable error | {
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Example discussed in detail here: https://huggingface.co/datasets/sasha/birdsnap/discussions/1
### Steps to reproduce the bug
```
from datasets import load_dataset, VerificationMode
dataset = load_dataset(
'sasha/birdsnap',
split="train",
verification_mode=VerificationMode.ALL_C... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6467/comments | https://api.github.com/repos/huggingface/datasets/issues/6467/events | https://github.com/huggingface/datasets/issues/6467 | 2,023,174,233 | I_kwDODunzps54lzBZ | 6,467 | New version release request | {
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"We will publish it soon (we usually do it in intervals of 1-2 months, so probably next week)",
"Thanks!"
] | 2023-12-04T07:08:26Z | 2023-12-04T15:42:22Z | 2023-12-04T15:42:22Z | CONTRIBUTOR | null | null | null | null | ### Feature request
Hi!
I am using `datasets` in library `xtuner` and am highly interested in the features introduced since v2.15.0.
To avoid installation from source in our pypi wheels, we are eagerly waiting for the new release. So, Does your team have a new release plan for v2.15.1 and could you please share ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6466/comments | https://api.github.com/repos/huggingface/datasets/issues/6466/events | https://github.com/huggingface/datasets/issues/6466 | 2,022,601,176 | I_kwDODunzps54jnHY | 6,466 | Can't align optional features of struct | {
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"Friendly bump, I would be happy to work on this issue once I get the go-ahead from the dev team. ",
"Thanks for the PR!\r\n\r\nI'm struggling with this as well and would love to see this PR merged. My case is slightly different, with keys completely missing rather than being `None`:\r\n\r\n```\r\nds = Dataset.fr... | 2023-12-03T15:57:07Z | 2024-02-15T15:19:33Z | 2024-02-08T14:38:34Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Hello!
I'm currently experiencing an issue where I can't concatenate datasets if an inner field of a Feature is Optional.
I have a column named `speaker`, and this holds some information about a speaker.
```python
@dataclass
class Speaker:
name: str
email: Optional[str]
```
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https://api.github.com/repos/huggingface/datasets/issues/6465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6465/comments | https://api.github.com/repos/huggingface/datasets/issues/6465/events | https://github.com/huggingface/datasets/issues/6465 | 2,022,212,468 | I_kwDODunzps54iIN0 | 6,465 | `load_dataset` uses out-of-date cache instead of re-downloading a changed dataset | {
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"Hi, thanks for reporting! https://github.com/huggingface/datasets/pull/6459 will fix this.",
"I meet a similar problem as using loading scripts. I have to set download_mode='force_redownload' to load the latest script."
] | 2023-12-02T21:35:17Z | 2024-08-20T08:32:11Z | null | NONE | null | null | null | null | ### Describe the bug
When a dataset is updated on the hub, using `load_dataset` will load the locally cached dataset instead of re-downloading the updated dataset
### Steps to reproduce the bug
Here is a minimal example script to
1. create an initial dataset and upload
2. download it so it is stored in cache
3. c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6460/comments | https://api.github.com/repos/huggingface/datasets/issues/6460/events | https://github.com/huggingface/datasets/issues/6460 | 2,017,433,899 | I_kwDODunzps54P5kr | 6,460 | jsonlines files don't load with `load_dataset` | {
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"Hi @serenalotreck,\r\n\r\nWe use Apache Arrow `pyarrow` to read jsonlines and it throws an error when trying to load your data files:\r\n```python\r\nIn [1]: import pyarrow as pa\r\n\r\nIn [2]: data = pa.json.read_json(\"train.jsonl\")\r\n---------------------------------------------------------------------------\... | 2023-11-29T21:20:11Z | 2023-12-29T02:58:29Z | 2023-12-05T13:30:53Z | NONE | null | null | null | null | ### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6457/comments | https://api.github.com/repos/huggingface/datasets/issues/6457/events | https://github.com/huggingface/datasets/issues/6457 | 2,015,650,563 | I_kwDODunzps54JGMD | 6,457 | `TypeError`: huggingface_hub.hf_file_system.HfFileSystem.find() got multiple values for keyword argument 'maxdepth' | {
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"Updating `fsspec>=2023.10.0` did solve the issue.",
"May be it should be pinned somewhere?",
"> Maybe this should go in datasets directly... anyways you can easily fix this error by updating datasets>=2.15.1.dev0.\r\n\r\n@lhoestq @mariosasko for what I understand this is a bug fixed in `datasets` already, righ... | 2023-11-29T01:57:36Z | 2023-11-29T15:39:03Z | 2023-11-29T02:02:38Z | NONE | null | null | null | null | ### Describe the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Steps to reproduce the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Expected behavior
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Environment info
Please s... | {
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https://api.github.com/repos/huggingface/datasets/issues/6451 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6451/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6451/comments | https://api.github.com/repos/huggingface/datasets/issues/6451/events | https://github.com/huggingface/datasets/issues/6451 | 2,010,693,912 | I_kwDODunzps532MEY | 6,451 | Unable to read "marsyas/gtzan" data | {
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"Hi! We've merged a [PR](https://huggingface.co/datasets/marsyas/gtzan/discussions/1) that fixes the script's path logic on Windows.",
"I have transferred the discussion to the corresponding dataset: https://huggingface.co/datasets/marsyas/gtzan/discussions/2\r\n\r\nLet's continue there.",
"@mariosasko @albertv... | 2023-11-25T15:13:17Z | 2023-12-01T12:53:46Z | 2023-11-27T09:36:25Z | NONE | null | null | null | null | Hi, this is my code and the error:
```
from datasets import load_dataset
gtzan = load_dataset("marsyas/gtzan", "all")
```
[error_trace.txt](https://github.com/huggingface/datasets/files/13464397/error_trace.txt)
[audio_yml.txt](https://github.com/huggingface/datasets/files/13464410/audio_yml.txt)
Python 3.11.5
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https://api.github.com/repos/huggingface/datasets/issues/6450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6450/comments | https://api.github.com/repos/huggingface/datasets/issues/6450/events | https://github.com/huggingface/datasets/issues/6450 | 2,009,491,386 | I_kwDODunzps53xme6 | 6,450 | Support multiple image/audio columns in ImageFolder/AudioFolder | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5760"
] | 2023-11-24T10:34:09Z | 2023-11-28T11:07:17Z | 2023-11-24T17:24:38Z | COLLABORATOR | null | null | null | null | ### Feature request
Have a metadata.csv file with multiple columns that point to relative image or audio files.
### Motivation
Currently, ImageFolder allows one column, called `file_name`, pointing to relative image files. On the same model, AudioFolder allows one column, called `file_name`, pointing to relative aud... | {
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https://api.github.com/repos/huggingface/datasets/issues/6447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6447/comments | https://api.github.com/repos/huggingface/datasets/issues/6447/events | https://github.com/huggingface/datasets/issues/6447 | 2,008,195,298 | I_kwDODunzps53sqDi | 6,447 | Support one dataset loader per config when using YAML | {
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] | open | false | null | [] | null | [] | 2023-11-23T13:03:07Z | 2023-11-23T13:03:07Z | null | COLLABORATOR | null | null | null | null | ### Feature request
See https://huggingface.co/datasets/datasets-examples/doc-unsupported-1
I would like to use CSV loader for the "csv" config, JSONL loader for the "jsonl" config, etc.
### Motivation
It would be more flexible for the users
### Your contribution
No specific contribution | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6446/comments | https://api.github.com/repos/huggingface/datasets/issues/6446/events | https://github.com/huggingface/datasets/issues/6446 | 2,007,092,708 | I_kwDODunzps53oc3k | 6,446 | Speech Commands v2 dataset doesn't match AST-v2 config | {
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"You can use `.align_labels_with_mapping` on the dataset to align the labels with the model config.\r\n\r\nRegarding the number of labels, only the special `_silence_` label corresponding to noise is missing, which is consistent with the model paper (reports training on 35 labels). You can run a `.filter` to drop ... | 2023-11-22T20:46:36Z | 2023-11-28T14:46:08Z | 2023-11-28T14:46:08Z | NONE | null | null | null | null | ### Describe the bug
[According](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) to `MIT/ast-finetuned-speech-commands-v2`, the model was trained on the Speech Commands v2 dataset. However, while the model config says the model should have 35 class labels, the dataset itself has 36 class labels. Moreover,... | {
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https://api.github.com/repos/huggingface/datasets/issues/6443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6443/comments | https://api.github.com/repos/huggingface/datasets/issues/6443/events | https://github.com/huggingface/datasets/issues/6443 | 2,006,568,368 | I_kwDODunzps53mc2w | 6,443 | Trouble loading files defined in YAML explicitly | {
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"There is a typo in one of the file names - `data/edf.csv` should be renamed to `data/def.csv` 🙂. ",
"wow, I reviewed it twice to avoid being ashamed like that, but... I didn't notice the typo.\r\n\r\n---\r\n\r\nBesides this: do you think we would be able to improve the error message to make this clearer?",
"H... | 2023-11-22T15:18:10Z | 2025-06-23T13:46:46Z | null | COLLABORATOR | null | null | null | null | Look at https://huggingface.co/datasets/severo/doc-yaml-2
It's a reproduction of the example given in the docs at https://huggingface.co/docs/hub/datasets-manual-configuration
```
You can select multiple files per split using a list of paths:
my_dataset_repository/
├── README.md
├── data/
│ ├── abc.csv
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https://api.github.com/repos/huggingface/datasets/issues/6442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6442/comments | https://api.github.com/repos/huggingface/datasets/issues/6442/events | https://github.com/huggingface/datasets/issues/6442 | 2,006,086,907 | I_kwDODunzps53knT7 | 6,442 | Trouble loading image folder with additional features - metadata file ignored | {
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"I reproduced too:\r\n- root: metadata file is ignored (https://huggingface.co/datasets/severo/doc-image-3)\r\n- data/ dir: metadata file is ignored (https://huggingface.co/datasets/severo/doc-image-4)\r\n- train/ dir: works (https://huggingface.co/datasets/severo/doc-image-5)"
] | 2023-11-22T11:01:35Z | 2023-11-24T17:13:03Z | 2023-11-24T17:13:03Z | NONE | null | null | null | null | ### Describe the bug
Loading image folder with a caption column using `load_dataset(<image_folder_path>)` doesn't load the captions.
When loading a local image folder with captions using `datasets==2.13.0`
```
from datasets import load_dataset
data = load_dataset(<image_folder_path>)
data.column_names
```
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https://api.github.com/repos/huggingface/datasets/issues/6441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6441/comments | https://api.github.com/repos/huggingface/datasets/issues/6441/events | https://github.com/huggingface/datasets/issues/6441 | 2,004,985,857 | I_kwDODunzps53gagB | 6,441 | Trouble Loading a Gated Dataset For User with Granted Permission | {
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"> Also when they try to click the url link for the dataset they get a 404 error.\r\n\r\nThis seems to be a Hub error then (cc @SBrandeis)",
"Could you report this to https://discuss.huggingface.co/c/hub/23, providing the URL of the dataset, or at least if the dataset is public or private?",
"Thanks for the rep... | 2023-11-21T19:24:36Z | 2023-12-13T08:27:16Z | 2023-12-13T08:27:16Z | NONE | null | null | null | null | ### Describe the bug
I have granted permissions to several users to access a gated huggingface dataset. The users accepted the invite and when trying to load the dataset using their access token they get
`FileNotFoundError: Couldn't find a dataset script at .....` . Also when they try to click the url link for the d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6440/comments | https://api.github.com/repos/huggingface/datasets/issues/6440/events | https://github.com/huggingface/datasets/issues/6440 | 2,004,509,301 | I_kwDODunzps53emJ1 | 6,440 | `.map` not hashing under python 3.9 | {
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"Tried to upgrade Python to 3.11 - still get this message. A partial solution is to NOT use `num_proc` at all. It will be considerably longer to finish the job.",
"Hi! The `model = torch.compile(model)` line is problematic for our hashing logic. We would have to merge https://github.com/huggingface/datasets/pull/... | 2023-11-21T15:14:54Z | 2023-11-28T16:29:33Z | 2023-11-28T16:29:33Z | NONE | null | null | null | null | ### Describe the bug
The `.map` function cannot hash under python 3.9. Tried to use [the solution here](https://github.com/huggingface/datasets/issues/4521#issuecomment-1205166653), but still get the same message:
`Parameter 'function'=<function map_to_pred at 0x7fa0b49ead30> of the transform datasets.arrow_data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6439/comments | https://api.github.com/repos/huggingface/datasets/issues/6439/events | https://github.com/huggingface/datasets/issues/6439 | 2,002,916,514 | I_kwDODunzps53YhSi | 6,439 | Download + preparation speed of datasets.load_dataset is 20x slower than huggingface hub snapshot and manual loding | {
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I am working with a dataset I am trying to publish.
The path is Antreas/TALI.
It's a fairly large dataset, and contains images, video, audio and text.
I have been having multiple problems when the dataset is being downloaded using the load_dataset function -- even with 64 workers takin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6438/comments | https://api.github.com/repos/huggingface/datasets/issues/6438/events | https://github.com/huggingface/datasets/issues/6438 | 2,002,032,804 | I_kwDODunzps53VJik | 6,438 | Support GeoParquet | {
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"Thank you, @severo ! I would be more than happy to help in any way I can. I am not familiar with this repo's codebase, but I would be eager to contribute. :)\r\n\r\nFor the preview in Datasets Hub, I think it makes sense to just display the geospatial column as text. If there were a dataset loader, though, I think... | 2023-11-20T11:54:58Z | 2024-02-07T08:36:51Z | null | COLLABORATOR | null | null | null | null | ### Feature request
Support the GeoParquet format
### Motivation
GeoParquet (https://geoparquet.org/) is a common format for sharing vectorial geospatial data on the cloud, along with "traditional" data columns.
It would be nice to be able to load this format with datasets, and more generally, in the Datasets Hub... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6437/comments | https://api.github.com/repos/huggingface/datasets/issues/6437/events | https://github.com/huggingface/datasets/issues/6437 | 2,001,272,606 | I_kwDODunzps53SP8e | 6,437 | Problem in training iterable dataset | {
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"Has anyone ever encountered this problem before?",
"`split_dataset_by_node` doesn't give the exact same number of examples to each node in the case of iterable datasets, though it tries to be as equal as possible. In particular if your dataset is sharded and you have a number of shards that is a factor of the nu... | 2023-11-20T03:04:02Z | 2024-05-22T03:14:13Z | null | NONE | null | null | null | null | ### Describe the bug
I am using PyTorch DDP (Distributed Data Parallel) to train my model. Since the data is too large to load into memory at once, I am using load_dataset to read the data as an iterable dataset. I have used datasets.distributed.split_dataset_by_node to distribute the dataset. However, I have notice... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6436/comments | https://api.github.com/repos/huggingface/datasets/issues/6436/events | https://github.com/huggingface/datasets/issues/6436 | 2,000,844,474 | I_kwDODunzps53Qna6 | 6,436 | TypeError: <lambda>() takes 0 positional arguments but 1 was given | {
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"This looks like a problem with your environment rather than `datasets`.",
"I meet the same problem,\r\nand originally use\r\n```python\r\nlocale.getpreferredencoding = lambda : \"UTF-8\"\r\n```\r\nand change to\r\n```\r\nlocale.getpreferredencoding = lambda x: \"UTF-8\"\r\n```\r\nand it works.",
"> I meet the ... | 2023-11-19T13:10:20Z | 2025-05-05T18:21:21Z | 2023-11-29T16:28:34Z | NONE | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-35-7b6becee3685>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from datasets import Dataset
9 frames
[/usr/lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6435/comments | https://api.github.com/repos/huggingface/datasets/issues/6435/events | https://github.com/huggingface/datasets/issues/6435 | 2,000,690,513 | I_kwDODunzps53QB1R | 6,435 | Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method | {
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"[This doc section](https://huggingface.co/docs/datasets/main/en/process#multiprocessing) explains how to modify the script to avoid this error.",
"@mariosasko thank you very much, i'll check it",
"@mariosasko no it does not\r\n\r\n`Dataset.filter() got an unexpected keyword argument 'with_rank'`"
] | 2023-11-19T04:21:16Z | 2024-01-27T17:14:20Z | 2023-12-04T16:57:43Z | NONE | null | null | null | null | ### Describe the bug
1. I ran dataset mapping with `num_proc=6` in it and got this error:
`RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method`
I can't actually find a way to run multi-GPU dataset mapping. Can you help?
### Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/6432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6432/comments | https://api.github.com/repos/huggingface/datasets/issues/6432/events | https://github.com/huggingface/datasets/issues/6432 | 1,999,258,140 | I_kwDODunzps53KkIc | 6,432 | load_dataset does not load all of the data in my input file | {
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"You should use `datasets.load_dataset` instead of `nlp.load_dataset`, as the `nlp` package is outdated.\r\n\r\nIf switching to `datasets.load_dataset` doesn't fix the issue, sharing the JSON file (feel free to replace the data with dummy data) would be nice so that we can reproduce it ourselves."
] | 2023-11-17T14:28:50Z | 2023-11-22T17:34:58Z | null | NONE | null | null | null | null | ### Describe the bug
I have 127 elements in my input dataset. When I do a len on the dataset after loaded, it is only 124 elements.
### Steps to reproduce the bug
train_dataset = nlp.load_dataset(data_args.dataset_path, name=data_args.qg_format, split=nlp.Split.TRAIN)
valid_dataset = nlp.load_dataset(data_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6422/comments | https://api.github.com/repos/huggingface/datasets/issues/6422/events | https://github.com/huggingface/datasets/issues/6422 | 1,994,579,267 | I_kwDODunzps524t1D | 6,422 | Allow to choose the `writer_batch_size` when using `save_to_disk` | {
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"We have a config variable that controls the batch size in `save_to_disk`:\r\n```python\r\nimport datasets\r\ndatasets.config.DEFAULT_MAX_BATCH_SIZE = <smaller_batch_size>\r\n...\r\nds.save_to_disk(...)\r\n```",
"Thank you for your answer!\r\n\r\nFrom what I am reading in `https://github.com/huggingface/datasets/... | 2023-11-15T11:18:34Z | 2023-11-16T10:00:21Z | null | NONE | null | null | null | null | ### Feature request
Add an argument in `save_to_disk` regarding batch size, which would be passed to `shard` and other methods.
### Motivation
The `Dataset.save_to_disk` method currently calls `shard` without passing a `writer_batch_size` argument, thus implicitly using the default value (1000). This can result in R... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6417/comments | https://api.github.com/repos/huggingface/datasets/issues/6417/events | https://github.com/huggingface/datasets/issues/6417 | 1,993,149,416 | I_kwDODunzps52zQvo | 6,417 | Bug: LayoutLMv3 finetuning on FUNSD Notebook; Arrow Error | {
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"Very strange: `datasets-cli env`\r\n> \r\n> Copy-and-paste the text below in your GitHub issue.\r\n> \r\n> - `datasets` version: 2.9.0\r\n> - Platform: macOS-14.0-arm64-arm-64bit\r\n> - Python version: 3.9.13\r\n> - PyArrow version: 8.0.0\r\n> - Pandas version: 1.3.5\r\n\r\nAfter updating datasets and pyarrow on b... | 2023-11-14T16:53:20Z | 2023-11-16T20:23:41Z | 2023-11-16T20:23:41Z | NONE | null | null | null | null | ### Describe the bug
Arrow issues when running the example Notebook laptop locally on Mac with M1. Works on Google Collab.
**Notebook**: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb
**Error**: `ValueError: Arrow type extensi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6412/comments | https://api.github.com/repos/huggingface/datasets/issues/6412/events | https://github.com/huggingface/datasets/issues/6412 | 1,992,401,594 | I_kwDODunzps52waK6 | 6,412 | User token is printed out! | {
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"Indeed, this is not a good practice. I've opened a PR that removes the token value from the (deprecation) warning."
] | 2023-11-14T10:01:34Z | 2023-11-14T22:19:46Z | 2023-11-14T22:19:46Z | NONE | null | null | null | null | This line prints user token on command line! Is it safe?
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/load.py#L2091 | {
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https://api.github.com/repos/huggingface/datasets/issues/6410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6410/comments | https://api.github.com/repos/huggingface/datasets/issues/6410/events | https://github.com/huggingface/datasets/issues/6410 | 1,992,100,209 | I_kwDODunzps52vQlx | 6,410 | Datasets does not load HuggingFace Repository properly | {
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"Hi! You can avoid the error by requesting only the `jsonl` files. `dataset = load_dataset(\"ai4privacy/pii-masking-200k\", data_files=[\"*.jsonl\"])`.\r\n\r\nOur data file inference does not filter out (incompatible) `json` files because `json` and `jsonl` use the same builder. Still, I think the inference should... | 2023-11-14T06:50:49Z | 2023-11-16T06:54:36Z | null | NONE | null | null | null | null | ### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6409/comments | https://api.github.com/repos/huggingface/datasets/issues/6409/events | https://github.com/huggingface/datasets/issues/6409 | 1,991,960,865 | I_kwDODunzps52uukh | 6,409 | using DownloadManager to download from local filesystem and disable_progress_bar, there will be an exception | {
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i'm using datasets.download.download_manager.DownloadManager to download files like "file:///a/b/c.txt", and i disable_progress_bar() to disable bar. there will be an exception as follows:
`AttributeError: 'function' object has no attribute 'close'
Exception ignored in: <function TqdmCallback.... | {
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https://api.github.com/repos/huggingface/datasets/issues/6408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6408/comments | https://api.github.com/repos/huggingface/datasets/issues/6408/events | https://github.com/huggingface/datasets/issues/6408 | 1,991,902,972 | I_kwDODunzps52ugb8 | 6,408 | `IterableDataset` lost but not keep columns when map function adding columns with names in `remove_columns` | {
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IterableDataset lost but not keep columns when map function adding columns with names in remove_columns,
Dataset not.
May be related to the code below:
https://github.com/huggingface/datasets/blob/06c3ffb8d068b6307b247164b10f7c7311cefed4/src/datasets/iterable_dataset.py#L750-L756
### Steps t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6407/comments | https://api.github.com/repos/huggingface/datasets/issues/6407/events | https://github.com/huggingface/datasets/issues/6407 | 1,991,514,079 | I_kwDODunzps52tBff | 6,407 | Loading the dataset from private S3 bucket gives "TypeError: cannot pickle '_contextvars.Context' object" | {
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"I have encountered the same problem with `datasets-2.20.0`. \r\n\r\nI found the following workaround for this issue (including the fix from #6598):\r\n1. specify the AWS profile name in the `storage_options` instead of passing an existing session object\r\n2. use a custom `DownloadConfig` object to fix #6598\r\n3.... | 2023-11-13T21:27:43Z | 2024-07-30T12:35:09Z | null | NONE | null | null | null | null | ### Describe the bug
I'm trying to read the parquet file from the private s3 bucket using the `load_dataset` function, but I receive `TypeError: cannot pickle '_contextvars.Context' object` error
I'm working on a machine with `~/.aws/credentials` file. I can't give credentials and the path to a file in a private bu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6406/comments | https://api.github.com/repos/huggingface/datasets/issues/6406/events | https://github.com/huggingface/datasets/issues/6406 | 1,990,469,045 | I_kwDODunzps52pCW1 | 6,406 | CI Build PR Documentation is broken: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",... | [] | closed | false | null | [] | null | [] | 2023-11-13T11:36:10Z | 2023-11-14T10:05:36Z | 2023-11-14T10:05:36Z | MEMBER | null | null | null | null | Our CI Build PR Documentation is broken. See: https://github.com/huggingface/datasets/actions/runs/6799554060/job/18486828777?pr=6390
```
ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6405/comments | https://api.github.com/repos/huggingface/datasets/issues/6405/events | https://github.com/huggingface/datasets/issues/6405 | 1,990,358,743 | I_kwDODunzps52onbX | 6,405 | ConfigNamesError on a simple CSV file | {
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"The viewer is working now. \r\n\r\nBased on the repo commit history, the bug was due to the incorrect format of the `features` field in the README YAML (`Value` requires `dtype`, e.g., `Value(\"string\")`, but it was not specified)",
"Feel free to close the issue",
"Oh, OK! Thanks. So, there was no reason to o... | 2023-11-13T10:28:29Z | 2023-11-13T20:01:24Z | 2023-11-13T20:01:24Z | COLLABORATOR | null | null | null | null | See https://huggingface.co/datasets/Nguyendo1999/mmath/discussions/1
```
Error code: ConfigNamesError
Exception: TypeError
Message: __init__() missing 1 required positional argument: 'dtype'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runn... | {
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https://api.github.com/repos/huggingface/datasets/issues/6403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6403/comments | https://api.github.com/repos/huggingface/datasets/issues/6403/events | https://github.com/huggingface/datasets/issues/6403 | 1,990,098,817 | I_kwDODunzps52nn-B | 6,403 | Cannot import datasets on google colab (python 3.10.12) | {
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"You are most likely using an outdated version of `datasets` in the notebook, which can be verified with the `!datasets-cli env` command. You can run `!pip install -U datasets` to update the installation.",
"okay, it works! thank you so much! 😄 "
] | 2023-11-13T08:14:43Z | 2023-11-16T05:04:22Z | 2023-11-16T05:04:21Z | NONE | null | null | null | null | ### Describe the bug
I'm trying A full colab demo notebook of zero-shot-distillation from https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero-shot-distillation but i got this type of error when importing datasets on my google colab (python version is 3.10.12)
![image](https://gith... | {
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https://api.github.com/repos/huggingface/datasets/issues/6401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6401/comments | https://api.github.com/repos/huggingface/datasets/issues/6401/events | https://github.com/huggingface/datasets/issues/6401 | 1,988,710,061 | I_kwDODunzps52iU6t | 6,401 | dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text") not working | {
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"Seems like it's a problem with the dataset, since in the [README](https://huggingface.co/datasets/Hyperspace-Technologies/scp-wiki-text/blob/main/README.md) the validation is not specified. Try cloning the dataset, removing the README (or validation split), and loading it locally/ ",
"@VarunNSrivastava thanks br... | 2023-11-11T04:09:07Z | 2023-11-20T17:45:20Z | 2023-11-20T17:45:20Z | NONE | null | null | null | null | ### Describe the bug
```
(datasets) mruserbox@guru-X99:/media/10TB_HHD/_LLM_DATASETS$ python dataset.py
Downloading readme: 100%|███████████████████████████████████| 360/360 [00:00<00:00, 2.16MB/s]
Downloading data: 100%|█████████████████████████████████| 65.1M/65.1M [00:19<00:00, 3.38MB/s]
Downloading data: 100... | {
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https://api.github.com/repos/huggingface/datasets/issues/6400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6400/comments | https://api.github.com/repos/huggingface/datasets/issues/6400/events | https://github.com/huggingface/datasets/issues/6400 | 1,988,571,317 | I_kwDODunzps52hzC1 | 6,400 | Safely load datasets by disabling execution of dataset loading script | {
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"great idea IMO\r\n\r\nthis could be a `trust_remote_code=True` flag like in transformers. We could also default to loading the Parquet conversion rather than executing code (for dataset repos that have both)",
"@julien-c that would be great!",
"We added the `trust_remote_code` argument to `load_dataset()` in `... | 2023-11-10T23:48:29Z | 2024-06-13T15:56:13Z | 2024-06-13T15:56:13Z | NONE | null | null | null | null | ### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code e... | {
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https://api.github.com/repos/huggingface/datasets/issues/6399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6399/comments | https://api.github.com/repos/huggingface/datasets/issues/6399/events | https://github.com/huggingface/datasets/issues/6399 | 1,988,368,503 | I_kwDODunzps52hBh3 | 6,399 | TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array | {
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"Seconding encountering this issue."
] | 2023-11-10T20:48:46Z | 2024-06-22T00:13:48Z | null | NONE | null | null | null | null | ### Describe the bug
Hi, I am preprocessing a large custom dataset with numpy arrays. I am running into this TypeError during writing in a dataset.map() function. I've tried decreasing writer batch size, but this error persists. This error does not occur for smaller datasets.
Thank you!
### Steps to repro... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6397/comments | https://api.github.com/repos/huggingface/datasets/issues/6397/events | https://github.com/huggingface/datasets/issues/6397 | 1,987,622,152 | I_kwDODunzps52eLUI | 6,397 | Raise a different exception for inexisting dataset vs files without known extension | {
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We have the same error for:
- https://huggingface.co/datasets/severo/a_dataset_that_does_not_exist: a dataset that does not exist
- https://huggingface.co/datasets/severo/test_files_without_extension: a dataset with files withou... | {
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https://api.github.com/repos/huggingface/datasets/issues/6396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6396/comments | https://api.github.com/repos/huggingface/datasets/issues/6396/events | https://github.com/huggingface/datasets/issues/6396 | 1,987,308,077 | I_kwDODunzps52c-ot | 6,396 | Issue with pyarrow 14.0.1 | {
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"Looks like we should stop using `PyExtensionType` and use `ExtensionType` instead\r\n\r\nsee https://github.com/apache/arrow/commit/f14170976372436ec1d03a724d8d3f3925484ecf",
"https://github.com/huggingface/datasets-server/pull/2089#pullrequestreview-1724449532\r\n\r\n> Yes, I understand now: they have disabled ... | 2023-11-10T10:02:12Z | 2025-08-19T18:13:30Z | 2023-11-14T10:23:30Z | COLLABORATOR | null | null | null | null | See https://github.com/huggingface/datasets-server/pull/2089 for reference
```
from datasets import (Array2D, Dataset, Features)
feature_type = Array2D(shape=(2, 2), dtype="float32")
content = [[0.0, 0.0], [0.0, 0.0]]
features = Features({"col": feature_type})
dataset = Dataset.from_dict({"col": [content]}, fea... | {
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https://api.github.com/repos/huggingface/datasets/issues/6395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6395/comments | https://api.github.com/repos/huggingface/datasets/issues/6395/events | https://github.com/huggingface/datasets/issues/6395 | 1,986,484,124 | I_kwDODunzps52Z1ec | 6,395 | Add ability to set lock type | {
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"We've replaced our filelock implementation with the `filelock` package, so their repo is the right place to request this feature.\r\n\r\nIn the meantime, the following should work: \r\n```python\r\nimport filelock\r\nfilelock.FileLock = filelock.SoftFileLock\r\n\r\nimport datasets\r\n...\r\n```"
] | 2023-11-09T22:12:30Z | 2023-11-23T18:50:00Z | 2023-11-23T18:50:00Z | NONE | null | null | null | null | ### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment... | {
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https://api.github.com/repos/huggingface/datasets/issues/6394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6394/comments | https://api.github.com/repos/huggingface/datasets/issues/6394/events | https://github.com/huggingface/datasets/issues/6394 | 1,985,947,116 | I_kwDODunzps52XyXs | 6,394 | TorchFormatter images (H, W, C) instead of (C, H, W) format | {
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"Here's a PR for that. https://github.com/huggingface/datasets/pull/6402\r\n\r\nIt's not backward compatible, unfortunately. ",
"Just ran into this working on data lib that's attempting to achieve common interfaces across hf datasets, webdataset, native torch style datasets. The defacto standards for image tensor... | 2023-11-09T16:02:15Z | 2024-04-11T12:40:16Z | 2024-04-11T12:40:16Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Using .set_format("torch") leads to images having shape (H, W, C), the same as in numpy.
However, pytorch normally uses (C, H, W) format.
Maybe I'm missing something but this makes the format a lot less useful as I then have to permute it anyways.
If not using the format it is possible to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6393/comments | https://api.github.com/repos/huggingface/datasets/issues/6393/events | https://github.com/huggingface/datasets/issues/6393 | 1,984,913,259 | I_kwDODunzps52T19r | 6,393 | Filter occasionally hangs | {
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"It looks like I may not be the first to encounter this: https://github.com/huggingface/datasets/issues/3172",
"Adding some more information, it seems to occur more frequently with large (millions of samples) datasets.",
"More information. My code is structured as (1) load (2) map (3) filter (4) filter. It was ... | 2023-11-09T06:18:30Z | 2025-02-22T00:49:19Z | 2025-02-22T00:49:19Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
A call to `.filter` occasionally hangs (after the filter is complete, according to tqdm)
There is a trace produced
```
Exception ignored in: <function Dataset.__del__ at 0x7efb48130c10>
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/datasets/arrow_dataset.py", l... | {
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https://api.github.com/repos/huggingface/datasets/issues/6392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6392/comments | https://api.github.com/repos/huggingface/datasets/issues/6392/events | https://github.com/huggingface/datasets/issues/6392 | 1,984,369,545 | I_kwDODunzps52RxOJ | 6,392 | `push_to_hub` is not robust to hub closing connection | {
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"Hi! We made some improvements to `push_to_hub` to make it more robust a couple of weeks ago but haven't published a release in the meantime, so it would help if you could install `datasets` from `main` (`pip install https://github.com/huggingface/datasets`) and let us know if this improved version of `push_to_hub`... | 2023-11-08T20:44:53Z | 2023-12-20T07:28:24Z | 2023-12-01T17:51:34Z | NONE | null | null | null | null | ### Describe the bug
Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6389/comments | https://api.github.com/repos/huggingface/datasets/issues/6389/events | https://github.com/huggingface/datasets/issues/6389 | 1,983,545,744 | I_kwDODunzps52OoGQ | 6,389 | Index 339 out of range for dataset of size 339 <-- save_to_file() | {
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"Hi! Can you make the above reproducer self-contained by adding code that generates the data?",
"I managed a workaround eventually but I don't know what it was (I made a lot of changes to seq2seq). I'll try to include generating code in the future. (If I close, I don't know if you see it. Feel free to close; I'l... | 2023-11-08T12:52:09Z | 2023-11-24T09:14:13Z | null | NONE | null | null | null | null | ### Describe the bug
When saving out some Audio() data.
The data is audio recordings with associated 'sentences'.
(They use the audio 'bytes' approach because they're clips within audio files).
Code is below the traceback (I can't upload the voice audio/text (it's not even me)).
```
Traceback (most recent call ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6388/comments | https://api.github.com/repos/huggingface/datasets/issues/6388/events | https://github.com/huggingface/datasets/issues/6388 | 1,981,136,093 | I_kwDODunzps52Fbzd | 6,388 | How to create 3d medical imgae dataset? | {
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] | open | false | null | [] | null | [] | 2023-11-07T11:27:36Z | 2023-11-07T11:28:53Z | null | NONE | null | null | null | null | ### Feature request
I am newer to huggingface, after i look up `datasets` docs, I can't find how to create the dataset contains 3d medical image (ends with '.mhd', '.dcm', '.nii')
### Motivation
help us to upload 3d medical dataset to huggingface!
### Your contribution
I'll submit a PR if I find a way to... | null | {
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"Feel free to use `dataset.save_to_disk(...)`, then scp the directory containing the saved dataset and reload it on your other machine using `dataset = load_from_disk(...)`"
] | 2023-11-06T22:51:44Z | 2023-11-16T18:07:01Z | 2023-11-16T18:07:01Z | NONE | null | null | null | null | Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
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https://api.github.com/repos/huggingface/datasets/issues/6386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6386/comments | https://api.github.com/repos/huggingface/datasets/issues/6386/events | https://github.com/huggingface/datasets/issues/6386 | 1,979,878,014 | I_kwDODunzps52Aop- | 6,386 | Formatting overhead | {
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"Ah I think the `line-profiler` log is off-by-one and it is in fact the `extract_batch` method that's taking forever. Will investigate further.",
"I tracked it down to a quirk of my setup. Apologies."
] | 2023-11-06T19:06:38Z | 2023-11-06T23:56:12Z | 2023-11-06T23:56:12Z | NONE | null | null | null | null | ### Describe the bug
Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new inst... | {
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https://api.github.com/repos/huggingface/datasets/issues/6385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6385/comments | https://api.github.com/repos/huggingface/datasets/issues/6385/events | https://github.com/huggingface/datasets/issues/6385 | 1,979,308,338 | I_kwDODunzps51-dky | 6,385 | Get an error when i try to concatenate the squad dataset with my own dataset | {
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"The `answers.text` field in the JSON dataset needs to be a list of strings, not a string.\r\n\r\nSo, here is the fixed code:\r\n```python\r\nfrom huggingface_hub import notebook_login\r\nfrom datasets import load_dataset\r\n\r\n\r\n\r\nnotebook_login(\"mymailadresse\", \"mypassword\")\r\nsquad = load_dataset(\"squ... | 2023-11-06T14:29:22Z | 2023-11-06T16:50:45Z | 2023-11-06T16:50:45Z | NONE | null | null | null | null | ### Describe the bug
Hello,
I'm new here and I need to concatenate the squad dataset with my own dataset i created. I find the following error when i try to do it: Traceback (most recent call last):
Cell In[9], line 1
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
File ~\ana... | {
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https://api.github.com/repos/huggingface/datasets/issues/6384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6384/comments | https://api.github.com/repos/huggingface/datasets/issues/6384/events | https://github.com/huggingface/datasets/issues/6384 | 1,979,117,069 | I_kwDODunzps519u4N | 6,384 | Load the local dataset folder from other place | {
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"Solved"
] | 2023-11-06T13:07:04Z | 2023-11-19T05:42:06Z | 2023-11-19T05:42:05Z | NONE | null | null | null | null | This is from https://github.com/huggingface/diffusers/issues/5573
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"Have you solved this problem?"
] | 2023-11-06T02:58:58Z | 2024-06-12T13:15:00Z | 2023-11-06T06:02:39Z | NONE | null | null | null | null | ### Describe the bug
What could be causing this?
```
$ python3
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> load_dataset("imagenet-1k")
Downloading builder ... | {
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"Hey @SauravMaheshkar ! Just responded to your email.\r\n\r\n_For transparency, copying part of my response here:_\r\nI agree, it would be really great to have this and other BenchMD datasets easily accessible on the hub.\r\n\r\nI think the main limiting factor is that the ChexPert dataset is currently hosted on th... | 2023-11-04T15:36:11Z | 2024-01-10T11:53:52Z | null | NONE | null | null | null | null | ### Feature request
### Name
**CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison**
### Paper
https://arxiv.org/abs/1901.07031
### Data
https://stanfordaimi.azurewebsites.net/datasets/8cbd9ed4-2eb9-4565-affc-111cf4f7ebe2
### Motivation
CheXpert is one of the fund... | null | {
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- #6374
and revert:
- #6375 | {
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https://api.github.com/repos/huggingface/datasets/issues/6376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6376/comments | https://api.github.com/repos/huggingface/datasets/issues/6376/events | https://github.com/huggingface/datasets/issues/6376 | 1,973,927,468 | I_kwDODunzps51p74s | 6,376 | Caching problem when deleting a dataset | {
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"Thanks for reporting! Can you also share the error message printed in step 5?",
"I did not store it at the time but I'll try to re-do a mwe next week to get it again",
"I haven't managed to reproduce this issue using a [notebook](https://colab.research.google.com/drive/1m6eduYun7pFTkigrCJAFgw0BghlbvXIL?usp=sha... | 2023-11-02T10:15:58Z | 2023-12-04T16:53:34Z | 2023-12-04T16:53:33Z | MEMBER | null | null | null | null | ### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | {
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```
FAILED tests/test_table.py::test_cast_sliced_fixed_size_array_to_features - TypeError: Couldn't cast array of type
fixed_size_list<item: int32>[3]
to
Sequence(feature=Value(dtype='int64', id=None), length=3, id=None)
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6371 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6371/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | https://api.github.com/repos/huggingface/datasets/issues/6371/events | https://github.com/huggingface/datasets/issues/6371 | 1,972,807,579 | I_kwDODunzps51lqeb | 6,371 | `Dataset.from_generator` should not try to download from HF GCS | {
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"Indeed, setting `try_from_gcs` to `False` makes sense for `from_generator`.\r\n\r\nWe plan to deprecate and remove `try_from_hf_gcs` soon, as we can use Hub for file hosting now, but this is a good temporary fix.\r\n"
] | 2023-11-01T17:36:17Z | 2023-11-02T15:52:10Z | 2023-11-02T15:52:10Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When using [`Dataset.from_generator`](https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/arrow_dataset.py#L1072) with `streaming=False`, the internal logic will call [`download_and_prepare`](https://github.com/huggingface/datasets/blob/main/src/datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/6370 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6370/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6370/comments | https://api.github.com/repos/huggingface/datasets/issues/6370/events | https://github.com/huggingface/datasets/issues/6370 | 1,972,073,909 | I_kwDODunzps51i3W1 | 6,370 | TensorDataset format does not work with Trainer from transformers | {
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"I figured it out. I found that `Trainer` does not work with TensorDataset even though the document says it uses it. Instead, I ended up creating a dictionary and converting it to a dataset using `dataset.Dataset.from_dict()`.\r\n\r\nI will leave this post open for a while. If someone knows a better approach, pleas... | 2023-11-01T10:09:54Z | 2023-11-29T16:31:08Z | 2023-11-29T16:31:08Z | NONE | null | null | null | null | ### Describe the bug
The model was built to do fine tunning on BERT model for relation extraction.
trainer.train() returns an error message ```TypeError: vars() argument must have __dict__ attribute``` when it has `train_dataset` generated from `torch.utils.data.TensorDataset`
However, in the document, the req... | {
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https://api.github.com/repos/huggingface/datasets/issues/6369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6369/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6369/comments | https://api.github.com/repos/huggingface/datasets/issues/6369/events | https://github.com/huggingface/datasets/issues/6369 | 1,971,794,108 | I_kwDODunzps51hzC8 | 6,369 | Multi process map did not load cache file correctly | {
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"The inconsistency may be caused by the usage of \"update_fingerprint\" and setting \"trust_remote_code\" to \"True.\"\r\nWhen the tokenizer employs \"trust_remote_code,\" the behavior of the map function varies with each code execution. Even if the remote code of the tokenizer remains the same, the result of \"ash... | 2023-11-01T06:36:54Z | 2023-11-30T16:04:46Z | 2023-11-30T16:04:45Z | NONE | null | null | null | null | ### Describe the bug
When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
![1698820501568](https://github.com/huggingface/datasets/assets/142857... | {
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https://api.github.com/repos/huggingface/datasets/issues/6366 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6366/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6366/comments | https://api.github.com/repos/huggingface/datasets/issues/6366/events | https://github.com/huggingface/datasets/issues/6366 | 1,970,213,490 | I_kwDODunzps51bxJy | 6,366 | with_format() function returns bytes instead of PIL images even when image column is not part of "columns" | {
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"Thanks for reporting! I've opened a PR with a fix."
] | 2023-10-31T11:10:48Z | 2023-11-02T14:21:17Z | 2023-11-02T14:21:17Z | NONE | null | null | null | null | ### Describe the bug
When using the with_format() function on a dataset containing images, even if the image column is not part of the columns provided in the function, its type will be changed to bytes.
Here is a minimal reproduction of the bug:
https://colab.research.google.com/drive/1hyaOspgyhB41oiR1-tXE3k_gJCdJU... | {
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https://api.github.com/repos/huggingface/datasets/issues/6365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6365/comments | https://api.github.com/repos/huggingface/datasets/issues/6365/events | https://github.com/huggingface/datasets/issues/6365 | 1,970,140,392 | I_kwDODunzps51bfTo | 6,365 | Parquet size grows exponential for categorical data | {
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"Wrong repo."
] | 2023-10-31T10:29:02Z | 2023-10-31T10:49:17Z | 2023-10-31T10:49:17Z | NONE | null | null | null | null | ### Describe the bug
It seems that when saving a data frame with a categorical column inside the size can grow exponentially.
This seems to happen because when we save the categorical data to parquet, we are saving the data + all the categories existing in the original data. This happens even when the categories ar... | {
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https://api.github.com/repos/huggingface/datasets/issues/6364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6364/comments | https://api.github.com/repos/huggingface/datasets/issues/6364/events | https://github.com/huggingface/datasets/issues/6364 | 1,969,136,106 | I_kwDODunzps51XqHq | 6,364 | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | {
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"You can use the following code to load this CSV with the list values preserved:\r\n```python\r\nfrom datasets import load_dataset\r\nimport ast\r\n\r\nconverters = {\r\n \"contexts\" : ast.literal_eval,\r\n \"ground_truths\" : ast.literal_eval,\r\n}\r\n\r\nds = load_dataset(\"csv\", data_files=\"golden_datas... | 2023-10-30T20:14:01Z | 2023-10-31T19:21:23Z | 2023-10-31T19:21:23Z | NONE | null | null | null | null | Hi,
I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
"what is abc?"... | {
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https://api.github.com/repos/huggingface/datasets/issues/6363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | https://api.github.com/repos/huggingface/datasets/issues/6363/events | https://github.com/huggingface/datasets/issues/6363 | 1,968,891,277 | I_kwDODunzps51WuWN | 6,363 | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | {
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"I think the code hangs on the `accelerator.main_process_first()` context manager exit. To verify this, you can append a print statement to the end of the `accelerator.main_process_first()` block. \r\n\r\n\r\nIf the problem is in `with_transform`, it would help if you could share the error stack trace printed when... | 2023-10-30T17:34:05Z | 2023-11-22T00:29:21Z | 2023-11-22T00:29:21Z | NONE | null | null | null | null | ### Describe the bug
Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --... | {
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https://api.github.com/repos/huggingface/datasets/issues/6360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6360/comments | https://api.github.com/repos/huggingface/datasets/issues/6360/events | https://github.com/huggingface/datasets/issues/6360 | 1,965,672,950 | I_kwDODunzps51Kcn2 | 6,360 | Add support for `Sequence(Audio/Image)` feature in `push_to_hub` | {
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"This issue stems from https://github.com/huggingface/datasets/blob/6d2f2a5e0fea3827eccfd1717d8021c15fc4292a/src/datasets/table.py#L2203-L2205\r\n\r\nI'll address it as part of https://github.com/huggingface/datasets/pull/6283.\r\n\r\nIn the meantime, this should work\r\n\r\n```python\r\nimport pyarrow as pa\r\nfro... | 2023-10-27T14:39:57Z | 2024-02-06T19:24:20Z | 2024-02-06T19:24:20Z | CONTRIBUTOR | null | null | null | null | ### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | https://api.github.com/repos/huggingface/datasets/issues/6359/events | https://github.com/huggingface/datasets/issues/6359 | 1,965,378,583 | I_kwDODunzps51JUwX | 6,359 | Stuck in "Resolving data files..." | {
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"Most likely, the data file inference logic is the problem here.\r\n\r\nYou can run the following code to verify this:\r\n```python\r\nimport time\r\nfrom datasets.data_files import get_data_patterns\r\nstart_time = time.time()\r\nget_data_patterns(\"/path/to/img_dir\")\r\nend_time = time.time()\r\nprint(f\"Elapsed... | 2023-10-27T12:01:51Z | 2025-03-09T02:18:19Z | null | NONE | null | null | null | null | ### Describe the bug
I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6358 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6358/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6358/comments | https://api.github.com/repos/huggingface/datasets/issues/6358/events | https://github.com/huggingface/datasets/issues/6358 | 1,965,014,595 | I_kwDODunzps51H75D | 6,358 | Mounting datasets cache fails due to absolute paths. | {
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"You may be able to make it work by tweaking some environment variables, such as [`HF_HOME`](https://huggingface.co/docs/huggingface_hub/main/en/package_reference/environment_variables#hfhome) or [`HF_DATASETS_CACHE`](https://huggingface.co/docs/datasets/cache#cache-directory).",
"> You may be able to make it wor... | 2023-10-27T08:20:27Z | 2024-04-10T08:50:06Z | 2023-11-28T14:47:12Z | NONE | null | null | null | null | ### Describe the bug
Creating a datasets cache and mounting this into, for example, a docker container, renders the data unreadable due to absolute paths written into the cache.
### Steps to reproduce the bug
1. Create a datasets cache by downloading some data
2. Mount the dataset folder into a docker contain... | {
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https://api.github.com/repos/huggingface/datasets/issues/6357 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6357/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6357/comments | https://api.github.com/repos/huggingface/datasets/issues/6357/events | https://github.com/huggingface/datasets/issues/6357 | 1,964,653,995 | I_kwDODunzps51Gj2r | 6,357 | Allow passing a multiprocessing context to functions that support `num_proc` | {
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] | open | false | null | [] | null | [] | 2023-10-27T02:31:16Z | 2023-10-27T02:31:16Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Allow specifying [a multiprocessing context](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods) to functions that support `num_proc` or use multiprocessing pools. For example, the following could be done:
```python
dataset = dataset.map(_func, num_proc=2, mp_cont... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6354/comments | https://api.github.com/repos/huggingface/datasets/issues/6354/events | https://github.com/huggingface/datasets/issues/6354 | 1,963,483,324 | I_kwDODunzps51CGC8 | 6,354 | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | {
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"I am having issues as well with this. \r\n\r\nHowever, the error I am getting is :\r\n`RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more informati... | 2023-10-26T12:43:36Z | 2024-12-10T14:06:06Z | null | NONE | null | null | null | null | ### Describe the bug
Looks like `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` if I'm not missing anything.
Also, returns not consistent error messages, which probably depend on the nondeterministic order of worker executions
Some exampes I've encountered:
```
File "/l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6353/comments | https://api.github.com/repos/huggingface/datasets/issues/6353/events | https://github.com/huggingface/datasets/issues/6353 | 1,962,646,450 | I_kwDODunzps50-5uy | 6,353 | load_dataset save_to_disk load_from_disk error | {
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"solved.\r\nfsspec version problem",
"I'm using the latest datasets and fsspec , but still got this error!\r\n\r\ndatasets : Version: 2.13.0\r\n\r\nfsspec Version: 2023.10.0\r\n\r\n```\r\nFile \"/home/guoby/app/Anaconda3-2021.05/envs/news/lib/python3.8/site-packages/datasets/load.py\", line 1892, in load_from_... | 2023-10-26T03:47:06Z | 2024-04-03T05:31:01Z | 2023-10-26T10:18:04Z | NONE | null | null | null | null | ### Describe the bug
datasets version： 2.10.1
I `load_dataset `and `save_to_disk` sucessfully on windows10( **and I `load_from_disk(/LLM/data/wiki)` succcesfully on windows10**), and I copy the dataset `/LLM/data/wiki`
into a ubuntu system, but when I `load_from_disk(/LLM/data/wiki)` on ubuntu, something weird ha... | {
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https://api.github.com/repos/huggingface/datasets/issues/6352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6352/comments | https://api.github.com/repos/huggingface/datasets/issues/6352/events | https://github.com/huggingface/datasets/issues/6352 | 1,962,296,057 | I_kwDODunzps509kL5 | 6,352 | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | {
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"+1 \r\n```\r\nFound cached dataset csv (file:///home/ubuntu/.cache/huggingface/datasets/theSquarePond___csv/theSquarePond--XXXXX-bbf0a8365d693d2c/0.0.0/eea64c71ca8b46dd3f537ed218fc9bf495d5707789152eb2764f5c78fa66d59d)\r\n---------------------------------------------------------------------------\r\nNotImplementedE... | 2023-10-25T21:55:31Z | 2024-03-19T16:46:22Z | 2023-11-07T07:26:54Z | NONE | null | null | null | null | I was trying to load the wiki dataset, but i got this error
traindata = load_dataset('wikitext', 'wikitext-2-raw-v1', split='train')
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/load.py", line 1804, in load_dataset
ds = builder_instance.as_dataset(split=split, verific... | {
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https://api.github.com/repos/huggingface/datasets/issues/6350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | https://api.github.com/repos/huggingface/datasets/issues/6350/events | https://github.com/huggingface/datasets/issues/6350 | 1,961,869,203 | I_kwDODunzps5077-T | 6,350 | Different objects are returned from calls that should be returning the same kind of object. | {
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"`load_dataset` returns a `DatasetDict` object unless `split` is defined, in which case it returns a `Dataset` (or a list of datasets if `split` is a list). We've discussed dropping `DatasetDict` from the API in https://github.com/huggingface/datasets/issues/5189 to always return the same type in `load_dataset` an... | 2023-10-25T17:08:39Z | 2023-10-26T21:03:06Z | null | NONE | null | null | null | null | ### Describe the bug
1. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir, split='train[:1%]')
2. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir)
The only difference I would expect these cal... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6349/comments | https://api.github.com/repos/huggingface/datasets/issues/6349/events | https://github.com/huggingface/datasets/issues/6349 | 1,961,435,673 | I_kwDODunzps506SIZ | 6,349 | Can't load ds = load_dataset("imdb") | {
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"I'm unable to reproduce this error. The server hosting the files may have been down temporarily, so try again.",
"getting the same error",
"I am getting the following error:\r\nEnv: Python3.10\r\ndatasets: 2.10.1\r\nLinux: Amazon Linux2\r\n\r\n`Traceback (most recent call last):\r\n File \"<stdin>\", line 1, ... | 2023-10-25T13:29:51Z | 2024-03-20T15:09:53Z | 2023-10-31T19:59:35Z | NONE | null | null | null | null | ### Describe the bug
I did `from datasets import load_dataset, load_metric` and then `ds = load_dataset("imdb")` and it gave me the error:
ExpectedMoreDownloadedFiles: {'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz'}
I tried doing `ds = load_dataset("imdb",download_mode="force_redownload")` as we... | {
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https://api.github.com/repos/huggingface/datasets/issues/6348 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6348/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6348/comments | https://api.github.com/repos/huggingface/datasets/issues/6348/events | https://github.com/huggingface/datasets/issues/6348 | 1,961,268,504 | I_kwDODunzps505pUY | 6,348 | Parquet stream-conversion fails to embed images/audio files from gated repos | {
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"I have created a project to stream audio in the datasets viewer on Hugging Face using Parquet.\n\nhttps://github.com/pr0mila/ParquetToHuggingFace"
] | 2023-10-25T12:12:44Z | 2025-04-17T12:21:43Z | null | COLLABORATOR | null | null | null | null | it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6347/comments | https://api.github.com/repos/huggingface/datasets/issues/6347/events | https://github.com/huggingface/datasets/issues/6347 | 1,959,004,835 | I_kwDODunzps50xAqj | 6,347 | Incorrect example code in 'Create a dataset' docs | {
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"This was fixed in https://github.com/huggingface/datasets/pull/6247. You can find the fix in the `main` version of the docs",
"Ah great, thanks :)"
] | 2023-10-24T11:01:21Z | 2023-10-25T13:05:21Z | 2023-10-25T13:05:21Z | NONE | null | null | null | null | ### Describe the bug
On [this](https://huggingface.co/docs/datasets/create_dataset) page, the example code for loading in images and audio is incorrect.
Currently, examples are:
``` python
from datasets import ImageFolder
dataset = load_dataset("imagefolder", data_dir="/path/to/pokemon")
```
and
``` python... | {
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https://api.github.com/repos/huggingface/datasets/issues/6345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6345/comments | https://api.github.com/repos/huggingface/datasets/issues/6345/events | https://github.com/huggingface/datasets/issues/6345 | 1,957,707,870 | I_kwDODunzps50sEBe | 6,345 | support squad structure datasets using a YAML parameter | {
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] | open | false | null | [] | null | [] | 2023-10-23T17:55:37Z | 2023-10-23T17:55:37Z | null | NONE | null | null | null | null | ### Feature request
Since the squad structure is widely used, I think it could be beneficial to support it using a YAML parameter.
could you implement automatic data loading of squad-like data using squad JSON format, to read it from JSON files and view it in the correct squad structure.
The dataset structure should... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | https://api.github.com/repos/huggingface/datasets/issues/6333/events | https://github.com/huggingface/datasets/issues/6333 | 1,956,714,423 | I_kwDODunzps50oRe3 | 6,333 | Support fsspec 2023.10.0 | {
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"Hi @albertvillanova @lhoestq \r\n\r\nI believe the pull request that pins the fsspec version (https://github.com/huggingface/datasets/pull/6331) was merged by mistake. Another fix for the issue was merged on the same day an hour apart. See https://github.com/huggingface/datasets/pull/6334\r\n\r\nI'm now having an ... | 2023-10-23T09:14:53Z | 2024-02-07T12:39:58Z | 2024-02-07T12:39:58Z | MEMBER | null | null | null | null | Once root issue is fixed, remove temporary pin of fsspec < 2023.10.0 introduced by:
- #6331
Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381 | {
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https://api.github.com/repos/huggingface/datasets/issues/6330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6330/comments | https://api.github.com/repos/huggingface/datasets/issues/6330/events | https://github.com/huggingface/datasets/issues/6330 | 1,956,053,294 | I_kwDODunzps50lwEu | 6,330 | Latest fsspec==2023.10.0 issue with streaming datasets | {
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"I also encountered a similar error below.\r\nAppreciate the team could shed some light on this issue.\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nNotImplementedError Traceback (most recent call last)\r\n[/home/ubuntu/work/EveryDream2trainer/pre... | 2023-10-22T20:57:10Z | 2025-06-09T22:00:16Z | 2023-10-23T09:17:56Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Loading a streaming dataset with this version of fsspec fails with the following error:
`NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.`
I suspect the issue is with this PR
https://github.com/fsspec/filesystem_spec/pull/1381
### Steps ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6329/comments | https://api.github.com/repos/huggingface/datasets/issues/6329/events | https://github.com/huggingface/datasets/issues/6329 | 1,955,858,020 | I_kwDODunzps50lAZk | 6,329 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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https://api.github.com/repos/huggingface/datasets/issues/6328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6328/comments | https://api.github.com/repos/huggingface/datasets/issues/6328/events | https://github.com/huggingface/datasets/issues/6328 | 1,955,857,904 | I_kwDODunzps50lAXw | 6,328 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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"شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی"
] | 2023-10-22T11:07:21Z | 2023-10-23T09:22:38Z | 2023-10-23T09:22:38Z | NONE | null | null | null | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6327/comments | https://api.github.com/repos/huggingface/datasets/issues/6327/events | https://github.com/huggingface/datasets/issues/6327 | 1,955,470,755 | I_kwDODunzps50jh2j | 6,327 | FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)` | {
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"You can clone the `togethercomputer/RedPajama-Data-1T-Sample` repo and load the dataset with `load_dataset(\"path/to/cloned_repo\")` to use it offline.",
"@mariosasko Thank you for your kind reply! I'll try it as a workaround.\r\nDoes that mean that currently it's not supported to simply load with a short name?"... | 2023-10-21T12:27:03Z | 2023-10-23T18:50:07Z | 2023-10-23T18:50:07Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Hi, I'm trying to load the dataset `togethercomputer/RedPajama-Data-1T-Sample` with `load_dataset` in streaming mode, i.e., `streaming=True`, but `FileNotFoundError` occurs.
### Steps to reproduce the bug
I've downloaded the dataset and save it to the cache dir in advance. My hope is loadi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6324/comments | https://api.github.com/repos/huggingface/datasets/issues/6324/events | https://github.com/huggingface/datasets/issues/6324 | 1,955,126,687 | I_kwDODunzps50iN2f | 6,324 | Conversion to Arrow fails due to wrong type heuristic | {
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"Unlike Pandas, Arrow is strict with types, so converting the problematic strings to ints (or ints to strings) to ensure all the values have the same type is the only fix. \r\n\r\nJSON support has been requested in Arrow [here](https://github.com/apache/arrow/issues/32538), but I don't expect this to be implemented... | 2023-10-20T23:20:58Z | 2023-10-23T20:52:57Z | 2023-10-23T20:52:57Z | NONE | null | null | null | null | ### Describe the bug
I have a list of dictionaries with valid/JSON-serializable values.
One key is the denominator for a paragraph. In 99.9% of cases its a number, but there are some occurences of '1a', '2b' and so on.
If trying to convert this list to a dataset with `Dataset.from_list()`, I always get
`ArrowI... | {
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https://api.github.com/repos/huggingface/datasets/issues/6323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6323/comments | https://api.github.com/repos/huggingface/datasets/issues/6323/events | https://github.com/huggingface/datasets/issues/6323 | 1,954,245,980 | I_kwDODunzps50e21c | 6,323 | Loading dataset from large GCS bucket very slow since 2.14 | {
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"I've also encountered this issue recently and want to ask if this has been seen.\r\n\r\n@albertvillanova for visibility - I'm not sure who the right person is to tag, but I noticed you were active recently so perhaps you can direct this to the right person.\r\n\r\nThanks!"
] | 2023-10-20T12:59:55Z | 2024-09-03T18:42:33Z | null | NONE | null | null | null | null | ### Describe the bug
Since updating to >2.14 we have very slow access to our parquet files on GCS when loading a dataset (>30 min vs 3s). Our GCS bucket has many objects and resolving globs is very slow. I could track down the problem to this change:
https://github.com/huggingface/datasets/blame/bade7af74437347a76083... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6320/comments | https://api.github.com/repos/huggingface/datasets/issues/6320/events | https://github.com/huggingface/datasets/issues/6320 | 1,952,618,316 | I_kwDODunzps50YpdM | 6,320 | Dataset slice splits can't load training and validation at the same time | {
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"The expression \"train+test\" concatenates the splits.\r\n\r\nThe individual splits as separate datasets can be obtained as follows:\r\n```python\r\ntrain_ds, test_ds = load_dataset(\"<dataset_name>\", split=[\"train\", \"test\"])\r\ntrain_10pct_ds, test_10pct_ds = load_dataset(\"<dataset_name>\", split=[\"train[:... | 2023-10-19T16:09:22Z | 2023-11-30T16:21:15Z | 2023-11-30T16:21:15Z | NONE | null | null | null | null | ### Describe the bug
According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
However ex... | {
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https://api.github.com/repos/huggingface/datasets/issues/6319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6319/comments | https://api.github.com/repos/huggingface/datasets/issues/6319/events | https://github.com/huggingface/datasets/issues/6319 | 1,952,101,717 | I_kwDODunzps50WrVV | 6,319 | Datasets.map is severely broken | {
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"Hi! Instead of processing a single example at a time, you should use the batched `map` for the best performance (with `num_proc=1`) - the fast tokenizers can process a batch's samples in parallel in that scenario.\r\n\r\nE.g., the following code in Colab takes an hour to complete:\r\n```python\r\n# !pip install da... | 2023-10-19T12:19:33Z | 2024-08-08T17:05:08Z | null | NONE | null | null | null | null | ### Describe the bug
Regardless of how many cores I used, I have 16 or 32 threads, map slows down to a crawl at around 80% done, lingers maybe until 97% extremely slowly and NEVER finishes the job. It just hangs.
After watching this for 27 hours I control-C out of it. Until the end one process appears to be doing s... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | https://api.github.com/repos/huggingface/datasets/issues/6317/events | https://github.com/huggingface/datasets/issues/6317 | 1,951,965,668 | I_kwDODunzps50WKHk | 6,317 | sentiment140 dataset unavailable | {
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"Thanks for reporting. We are investigating the issue.",
"We have opened an issue in the corresponding Hub dataset: https://huggingface.co/datasets/sentiment140/discussions/3\r\n\r\nLet's continue the discussion there."
] | 2023-10-19T11:25:21Z | 2023-10-19T13:04:56Z | 2023-10-19T13:04:56Z | NONE | null | null | null | null | ### Describe the bug
loading the dataset using load_dataset("sentiment140") returns the following error
ConnectionError: Couldn't reach http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip (error 403)
### Steps to reproduce the bug
Run the following code (version should not matter).
```
from data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6315/comments | https://api.github.com/repos/huggingface/datasets/issues/6315/events | https://github.com/huggingface/datasets/issues/6315 | 1,951,800,819 | I_kwDODunzps50Vh3z | 6,315 | Hub datasets with CSV metadata raise ArrowInvalid: JSON parse error: Invalid value. in row 0 | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2023-10-19T10:11:29Z | 2023-10-20T06:14:10Z | 2023-10-20T06:14:10Z | MEMBER | null | null | null | null | When trying to load a Hub dataset that contains a CSV metadata file, it raises an `ArrowInvalid` error:
```
E pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
pyarrow/error.pxi:100: ArrowInvalid
```
See: https://huggingface.co/datasets/lukarape/public_small_papers/discussions/1 | {
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https://api.github.com/repos/huggingface/datasets/issues/6311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6311/comments | https://api.github.com/repos/huggingface/datasets/issues/6311/events | https://github.com/huggingface/datasets/issues/6311 | 1,949,304,993 | I_kwDODunzps50MAih | 6,311 | cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146 | {
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"Thanks for reporting! We've spotted the bugs with the `array.values` handling and are fixing them in https://github.com/huggingface/datasets/pull/6283 (should be part of the next release).",
"> Thanks for reporting! We've spotted the bugs with the `array.values` handling and are fixing them in #6283 (should be p... | 2023-10-18T09:38:05Z | 2024-02-06T19:24:20Z | 2024-02-06T19:24:20Z | NONE | null | null | null | null | ### Describe the bug
i load a dataset from local csv file which has 187383612 examples, then use `map` to generate new columns for test.
here is my code :
```
import os
from datasets import load_dataset
from datasets.features import Sequence, Value
def add_new_path(example):
example["ais_bbox"] =... | {
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https://api.github.com/repos/huggingface/datasets/issues/6308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6308/comments | https://api.github.com/repos/huggingface/datasets/issues/6308/events | https://github.com/huggingface/datasets/issues/6308 | 1,946,810,625 | I_kwDODunzps50CfkB | 6,308 | module 'resource' has no attribute 'error' | {
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"This (Windows) issue was fixed in `fsspec` in https://github.com/fsspec/filesystem_spec/pull/1275. So, to avoid the error, update the `fsspec` installation with `pip install -U fsspec`.",
"> This (Windows) issue was fixed in `fsspec` in [fsspec/filesystem_spec#1275](https://github.com/fsspec/filesystem_spec/pul... | 2023-10-17T08:08:54Z | 2023-10-25T17:09:22Z | 2023-10-25T17:09:22Z | NONE | null | null | null | null | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | {
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https://api.github.com/repos/huggingface/datasets/issues/6306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6306/comments | https://api.github.com/repos/huggingface/datasets/issues/6306/events | https://github.com/huggingface/datasets/issues/6306 | 1,946,363,452 | I_kwDODunzps50AyY8 | 6,306 | pyinstaller : OSError: could not get source code | {
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"more information：\r\n``` \r\nFile \"text2vec\\__init__.py\", line 8, in <module>\r\nFile \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\r\nFile \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\r\nFile \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\r\nFile \"... | 2023-10-17T01:41:51Z | 2023-11-02T07:24:51Z | 2023-10-18T14:03:42Z | NONE | null | null | null | null | ### Describe the bug
I ran a package with pyinstaller and got the following error：
### Steps to reproduce the bug
```
...
File "datasets\__init__.py", line 52, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_an... | {
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https://api.github.com/repos/huggingface/datasets/issues/6305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6305/comments | https://api.github.com/repos/huggingface/datasets/issues/6305/events | https://github.com/huggingface/datasets/issues/6305 | 1,946,010,912 | I_kwDODunzps5z_cUg | 6,305 | Cannot load dataset with `2.14.5`: `FileNotFound` error | {
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"Thanks for reporting, @finiteautomata.\r\n\r\nWe are investigating it. ",
"There is a bug in `datasets`. You can see our proposed fix:\r\n- #6309 "
] | 2023-10-16T20:11:27Z | 2023-10-18T13:50:36Z | 2023-10-18T13:50:36Z | NONE | null | null | null | null | ### Describe the bug
I'm trying to load [piuba-bigdata/articles_and_comments] and I'm stumbling with this error on `2.14.5`. However, this works on `2.10.0`.
### Steps to reproduce the bug
[Colab link](https://colab.research.google.com/drive/1SAftFMQnFE708ikRnJJHIXZV7R5IBOCE#scrollTo=r2R2ipCCDmsg)
```python
D... | {
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