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https://api.github.com/repos/huggingface/datasets/issues/5888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5888/comments | https://api.github.com/repos/huggingface/datasets/issues/5888/events | https://github.com/huggingface/datasets/issues/5888 | 1,722,290,363 | I_kwDODunzps5mqBC7 | 5,888 | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | {
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"Hi! \r\n\r\nYou want to use `push_to_hub` (creates Parquet files) instead of `save_to_disk` (creates Arrow files) when creating a Hub dataset. Parquet is designed for long-term storage and takes less space than the Arrow format, and, most importantly, `load_dataset` can parse it, which should fix the viewer. \r\n\... | 2023-05-22T18:05:26Z | 2023-06-23T03:37:16Z | null | null | NONE | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
I recently chose to use huggingface hub as the home for a large multi modal dataset I've been building. https://huggingface.co/datasets/Antreas/TALI
It combines images, text, audio and video. Now, I could very easily upload a dataset made via datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6022/comments | https://api.github.com/repos/huggingface/datasets/issues/6022/events | https://github.com/huggingface/datasets/issues/6022 | 1,800,092,589 | I_kwDODunzps5rSzut | 6,022 | Batch map raises TypeError: '>=' not supported between instances of 'NoneType' and 'int' | {
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"Thanks for reporting! I've opened a PR with a fix."
] | 2023-07-12T03:20:17Z | 2023-07-12T16:18:06Z | 2023-07-12T16:18:05Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When mapping some datasets with `batched=True`, datasets may raise an exeception:
```python
Traceback (most recent call last):
File "/Users/codingl2k1/Work/datasets/venv/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
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https://api.github.com/repos/huggingface/datasets/issues/537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/537/comments | https://api.github.com/repos/huggingface/datasets/issues/537/events | https://github.com/huggingface/datasets/issues/537 | 687,614,699 | MDU6SXNzdWU2ODc2MTQ2OTk= | 537 | [Dataset] RACE dataset Checksums error | {
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"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
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"`NonMatchingChecksumError` means that the checksum of the downloaded file is not the expected one.\r\nEither the file you downloaded was corrupted along the way, or the host updated the file.\r\nCould you try to clear your cache and run `load_dataset` again ? If the error is still there, it means that there was an... | 2020-08-27T23:58:16Z | 2020-09-18T12:07:04Z | 2020-09-18T12:07:04Z | null | CONTRIBUTOR | [] | null | null | {
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} | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
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https://api.github.com/repos/huggingface/datasets/issues/1803 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1803/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1803/comments | https://api.github.com/repos/huggingface/datasets/issues/1803/events | https://github.com/huggingface/datasets/issues/1803 | 798,243,904 | MDU6SXNzdWU3OTgyNDM5MDQ= | 1,803 | Querying examples from big datasets is slower than small datasets | {
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"Hello, @lhoestq / @gaceladri : We have been seeing similar behavior with bigger datasets, where querying time increases. Are you folks aware of any solution that fixes this problem yet? ",
"Hi ! I'm pretty sure that it can be fixed by using the Arrow IPC file format instead of the raw streaming format but I ha... | 2021-02-01T11:08:23Z | 2021-08-04T18:11:01Z | 2021-08-04T18:10:42Z | null | MEMBER | [] | null | null | {
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} | After some experiments with bookcorpus I noticed that querying examples from big datasets is slower than small datasets.
For example
```python
from datasets import load_dataset
b1 = load_dataset("bookcorpus", split="train[:1%]")
b50 = load_dataset("bookcorpus", split="train[:50%]")
b100 = load_dataset("bookcorp... | {
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https://api.github.com/repos/huggingface/datasets/issues/4112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4112/comments | https://api.github.com/repos/huggingface/datasets/issues/4112/events | https://github.com/huggingface/datasets/issues/4112 | 1,194,752,765 | I_kwDODunzps5HNnr9 | 4,112 | ImageFolder with Grayscale images dataset | {
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"Hi! Replacing:\r\n```python\r\ntransformed_dataset = dataset.with_transform(transforms)\r\ntransformed_dataset.set_format(type=\"torch\", device=\"cuda\")\r\n```\r\n\r\nwith:\r\n```python\r\ndef transform_func(examples):\r\n examples[\"image\"] = [transforms(img).to(\"cuda\") for img in examples[\"image\"]]\r\n... | 2022-04-06T15:10:00Z | 2022-04-22T10:21:53Z | 2022-04-22T10:21:52Z | null | NONE | [] | null | null | {
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} | Hi, I'm facing a problem with a grayscale images dataset I have uploaded [here](https://huggingface.co/datasets/ChainYo/rvl-cdip) (RVL-CDIP)
I'm getting an error while I want to use images for training a model with PyTorch DataLoader. Here is the full traceback:
```bash
AttributeError: Caught AttributeError in D... | {
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https://api.github.com/repos/huggingface/datasets/issues/7600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7600/comments | https://api.github.com/repos/huggingface/datasets/issues/7600/events | https://github.com/huggingface/datasets/issues/7600 | 3,127,296,182 | I_kwDODunzps66ZsC2 | 7,600 | `push_to_hub` is not concurrency safe (dataset schema corruption) | {
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"@lhoestq can you please take a look? I've submitted a PR that fixes this issue. Thanks.",
"Thanks for the ping ! As I said in https://github.com/huggingface/datasets/pull/7605 there is maybe a more general approach using retries :)",
"Dropping this due to inactivity; we've implemented push_to_hub outside of HF... | 2025-06-07T17:28:56Z | 2025-07-31T10:00:50Z | 2025-07-31T10:00:50Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Concurrent processes modifying and pushing a dataset can overwrite each others' dataset card, leaving the dataset unusable.
Consider this scenario:
- we have an Arrow dataset
- there are `N` configs of the dataset
- there are `N` independent processes operating on each of the individual configs (... | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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} | ### Describe the bug
Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6667/comments | https://api.github.com/repos/huggingface/datasets/issues/6667/events | https://github.com/huggingface/datasets/issues/6667 | 2,137,769,552 | I_kwDODunzps5_a8ZQ | 6,667 | Default config for squad is incorrect | {
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"you can try: pip install datasets==2.16.1"
] | 2024-02-16T02:36:55Z | 2024-02-23T09:10:00Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7554/comments | https://api.github.com/repos/huggingface/datasets/issues/7554/events | https://github.com/huggingface/datasets/issues/7554 | 3,043,089,844 | I_kwDODunzps61Yd20 | 7,554 | datasets downloads and generates all splits, even though a single split is requested (for dataset with loading script) | {
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"Hi ! there has been some effort on allowing to download only a subset of splits in https://github.com/huggingface/datasets/pull/6832 but no one has been continuing this work so far. This would be a welcomed contribution though\n\nAlso note that loading script are often unoptimized, and we recommend using datasets ... | 2025-05-06T14:43:38Z | 2025-05-07T14:53:45Z | 2025-05-07T14:53:44Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
`datasets` downloads and generates all splits, even though a single split is requested. [This](https://huggingface.co/datasets/jordiae/exebench) is the dataset in question. It uses a loading script. I am not 100% sure that this is a bug, because maybe with loading scripts `datasets` must actual... | {
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https://api.github.com/repos/huggingface/datasets/issues/7722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7722/comments | https://api.github.com/repos/huggingface/datasets/issues/7722/events | https://github.com/huggingface/datasets/issues/7722 | 3,289,741,064 | I_kwDODunzps7EFXcI | 7,722 | Out of memory even though using load_dataset(..., streaming=True) | {
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} | ### Describe the bug
I am iterating over a large dataset that I load using streaming=True to avoid running out of memory. Unfortunately, I am observing that memory usage increases over time and I'm finally running in an oom.
### Steps to reproduce the bug
```
ds = load_dataset("openslr/librispeech_asr", split="tra... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5050 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5050/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5050/comments | https://api.github.com/repos/huggingface/datasets/issues/5050/events | https://github.com/huggingface/datasets/issues/5050 | 1,392,381,882 | I_kwDODunzps5S_g-6 | 5,050 | Restore saved format state in `load_from_disk` | {
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"Hi, can I work on this?",
"Hi, sure! Let us know if you need some pointers/help."
] | 2022-09-30T12:40:07Z | 2022-10-11T16:49:24Z | 2022-10-11T16:49:24Z | {
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} | Even though we save the `format` state in `save_to_disk`, we don't restore it in `load_from_disk`. We should fix that.
Reported here: https://discuss.huggingface.co/t/save-to-disk-loses-formatting-information/23815 | {
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https://api.github.com/repos/huggingface/datasets/issues/2750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2750/comments | https://api.github.com/repos/huggingface/datasets/issues/2750/events | https://github.com/huggingface/datasets/issues/2750 | 958,984,730 | MDU6SXNzdWU5NTg5ODQ3MzA= | 2,750 | Second concatenation of datasets produces errors | {
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"@albertvillanova ",
"Hi @Aktsvigun, thanks for reporting.\r\n\r\nI'm investigating this.",
"Hi @albertvillanova ,\r\nany update on this? Can I probably help in some way?",
"Hi @Aktsvigun! We are planning to address this issue before our next release, in a couple of weeks at most. 😅 \r\n\r\nIn the meantime, ... | 2021-08-03T10:47:04Z | 2022-01-19T14:23:43Z | 2022-01-19T14:19:05Z | {
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I am need to concatenate my dataset with others several times, and after I concatenate it for the second time, the features of features (e.g. tags names) are collapsed. This hinders, for instance, the usage of tokenize function with `data.map`.
```
from datasets import load_dataset, concatenate_datasets
d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6887 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6887/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6887/comments | https://api.github.com/repos/huggingface/datasets/issues/6887/events | https://github.com/huggingface/datasets/issues/6887 | 2,286,786,396 | I_kwDODunzps6ITZdc | 6,887 | FAISS load to None | {
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"Hello,\r\n\r\nI'm not sure I understand. \r\nThe return value of `ds.load_faiss_index` is None as expected.\r\n\r\nI see that loading an Index on a dataset that doesn't have an `embedding` column doesn't raise an Issue. Is that the issue?\r\n\r\nSo `ds` doesn't have an `embedding` column, but we load an index that... | 2024-05-09T02:43:50Z | 2024-05-16T20:44:23Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I've use FAISS with Datasets and save to FAISS.
Then load to save FAISS then no error, then ds to None
```python
ds.load_faiss_index('embeddings', 'my_index.faiss')
```
### Steps to reproduce the bug
# 1.
```python
ds_with_embeddings = ds.map(lambda example: {'embeddings': model(transf... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5572/comments | https://api.github.com/repos/huggingface/datasets/issues/5572/events | https://github.com/huggingface/datasets/issues/5572 | 1,597,257,624 | I_kwDODunzps5fNDeY | 5,572 | Datasets 2.10.0 does not reuse the dataset cache | {
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} | ### Describe the bug
download_mode="reuse_dataset_if_exists" will always consider that a dataset doesn't exist.
Specifically, upon losing an internet connection trying to load a dataset for a second time in ten seconds, a connection error results, showing a breakpoint of:
```
File ~/jupyterlab/.direnv/python-... | {
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https://api.github.com/repos/huggingface/datasets/issues/4480 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4480/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4480/comments | https://api.github.com/repos/huggingface/datasets/issues/4480/events | https://github.com/huggingface/datasets/issues/4480 | 1,268,921,567 | I_kwDODunzps5LojTf | 4,480 | Bigbench tensorflow GPU dependency | {
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"Thanks for reporting ! :) cc @andersjohanandreassen can you take a look at this ?\r\n\r\nAlso @cceyda feel free to open an issue at [BIG-Bench](https://github.com/google/BIG-bench) as well regarding the `AttributeError`",
"I'm on vacation for the next week, so won't be able to do much debugging at the moment. So... | 2022-06-13T05:24:06Z | 2022-06-14T19:45:24Z | 2022-06-14T19:45:23Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Loading bigbech
```py
from datasets import load_dataset
dataset = load_dataset("bigbench","swedish_to_german_proverbs")
```
tries to use gpu and fails with OOM with the following error
```
Downloading and preparing dataset bigbench/swedish_to_german_proverbs (download: Unknown size, genera... | {
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https://api.github.com/repos/huggingface/datasets/issues/7682 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7682/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7682/comments | https://api.github.com/repos/huggingface/datasets/issues/7682/events | https://github.com/huggingface/datasets/issues/7682 | 3,229,687,253 | I_kwDODunzps7AgR3V | 7,682 | Fail to cast Audio feature for numpy arrays in datasets 4.0.0 | {
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"thanks for reporting, I opened a PR and I'll make a patch release soon ",
"> thanks for reporting, I opened a PR and I'll make a patch release soon\n\nThank you very much @lhoestq!"
] | 2025-07-14T18:41:02Z | 2025-07-15T12:10:39Z | 2025-07-15T10:24:08Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Casting features with Audio for numpy arrays - done here with `ds.map(gen_sine, features=features)` fails
in version 4.0.0 but not in version 3.6.0
### Steps to reproduce the bug
The following `uv script` should be able to reproduce the bug in version 4.0.0
and pass in version 3.6.0 on a macOS ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5855 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5855/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5855/comments | https://api.github.com/repos/huggingface/datasets/issues/5855/events | https://github.com/huggingface/datasets/issues/5855 | 1,708,784,943 | I_kwDODunzps5l2f0v | 5,855 | `to_tf_dataset` consumes too much memory | {
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"Cc @amyeroberts @Rocketknight1 \r\n\r\nIndded I think it's because it does something like this under the hood when there's no multiprocessing:\r\n\r\n```python\r\ntf_dataset = tf_dataset.shuffle(len(dataset))\r\n```\r\n\r\nPS: with multiprocessing it appears to be different:\r\n\r\n```python\r\nindices = np.arange... | 2023-05-14T01:22:29Z | 2023-06-08T16:32:52Z | 2023-06-08T16:32:52Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5923/comments | https://api.github.com/repos/huggingface/datasets/issues/5923/events | https://github.com/huggingface/datasets/issues/5923 | 1,737,436,227 | I_kwDODunzps5njyxD | 5,923 | Cannot import datasets - ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility | {
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"Based on https://github.com/rapidsai/cudf/issues/10187, this probably means your `pyarrow` installation is not compatible with `datasets`.\r\n\r\nCan you please execute the following commands in the terminal and paste the output here?\r\n```\r\nconda list | grep arrow\r\n``` \r\n```\r\npython -c \"import pyarrow; ... | 2023-06-02T04:16:32Z | 2024-06-27T10:07:49Z | 2024-02-25T16:38:03Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When trying to import datasets, I get a pyarrow ValueError:
Traceback (most recent call last):
File "/Users/edward/test/test.py", line 1, in <module>
import datasets
File "/Users/edward/opt/anaconda3/envs/cs235/lib/python3.9/site-packages/datasets/__init__.py", line 43, in <module>... | {
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https://api.github.com/repos/huggingface/datasets/issues/2832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2832/comments | https://api.github.com/repos/huggingface/datasets/issues/2832/events | https://github.com/huggingface/datasets/issues/2832 | 978,012,800 | MDU6SXNzdWU5NzgwMTI4MDA= | 2,832 | Logging levels not taken into account | {
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"I just take a look at all the outputs produced by `datasets` using the different log-levels.\r\nAs far as i can tell using `datasets==1.17.0` they overall issue seems to be fixed.\r\n\r\nHowever, I noticed that there is one tqdm based progress indicator appearing on STDERR that I can simply not suppress.\r\n```\r\... | 2021-08-24T11:50:41Z | 2023-07-12T17:19:30Z | 2023-07-12T17:19:29Z | {
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} | ## Describe the bug
The `logging` module isn't working as intended relative to the levels to set.
## Steps to reproduce the bug
```python
from datasets import logging
logging.set_verbosity_debug()
logger = logging.get_logger()
logger.error("ERROR")
logger.warning("WARNING")
logger.info("INFO")
logge... | {
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https://api.github.com/repos/huggingface/datasets/issues/2669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2669/comments | https://api.github.com/repos/huggingface/datasets/issues/2669/events | https://github.com/huggingface/datasets/issues/2669 | 946,982,998 | MDU6SXNzdWU5NDY5ODI5OTg= | 2,669 | Metric kwargs are not passed to underlying external metric f1_score | {
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"Hi @BramVanroy, thanks for reporting.\r\n\r\nFirst, note that `\"min\"` is not an allowed value for `average`. According to scikit-learn [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html), `average` can only take the values: `{\"micro\", \"macro\", \"samples\", \"weigh... | 2021-07-18T08:32:31Z | 2021-07-18T18:36:05Z | 2021-07-18T11:19:04Z | {
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} | ## Describe the bug
When I want to use F1 score with average="min", this keyword argument does not seem to be passed through to the underlying sklearn metric. This is evident because [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) throws an error telling me so.
## Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/3148 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3148/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3148/comments | https://api.github.com/repos/huggingface/datasets/issues/3148/events | https://github.com/huggingface/datasets/issues/3148 | 1,033,685,208 | I_kwDODunzps49nMjY | 3,148 | Streaming with num_workers != 0 | {
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"I can confirm that I was able to reproduce the bug. This seems odd given that #3423 reports duplicate data retrieval when `num_workers` and `streaming` are used together, which is obviously different from what is reported here. ",
"Any update? A possible solution is to have multiple arrow files as shards, and ha... | 2021-10-22T15:07:17Z | 2022-07-04T12:14:58Z | 2022-07-04T12:14:58Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
When using dataset streaming with pytorch DataLoader, the setting num_workers to anything other than 0 causes the code to freeze forever before yielding the first batch.
The code owner is likely @lhoestq
## Steps to reproduce the bug
For your convenience, we've prepped a colab notebook th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2038/comments | https://api.github.com/repos/huggingface/datasets/issues/2038/events | https://github.com/huggingface/datasets/issues/2038 | 830,036,875 | MDU6SXNzdWU4MzAwMzY4NzU= | 2,038 | outdated dataset_infos.json might fail verifications | {
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"Hi ! Thanks for reporting.\r\n\r\nTo update the dataset_infos.json you can run:\r\n```\r\ndatasets-cli test ./datasets/doc2dial --all_configs --save_infos --ignore_verifications\r\n```",
"Fixed by #2041, thanks again @songfeng !"
] | 2021-03-12T11:41:54Z | 2021-03-16T16:27:40Z | 2021-03-16T16:27:40Z | null | CONTRIBUTOR | [] | null | null | {
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} | The [doc2dial/dataset_infos.json](https://github.com/huggingface/datasets/blob/master/datasets/doc2dial/dataset_infos.json) is outdated. It would fail data_loader when verifying download checksum etc..
Could you please update this file or point me how to update this file?
Thank you. | {
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https://api.github.com/repos/huggingface/datasets/issues/2736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2736/comments | https://api.github.com/repos/huggingface/datasets/issues/2736/events | https://github.com/huggingface/datasets/issues/2736 | 956,895,199 | MDU6SXNzdWU5NTY4OTUxOTk= | 2,736 | Add Microsoft Building Footprints dataset | {
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"Motivation: this can be a useful dataset for researchers working on climate change adaptation, urban studies, geography, etc. I'll see if I can figure out how to add it!"
] | 2021-07-30T16:17:08Z | 2021-12-08T12:09:03Z | null | null | MEMBER | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** Microsoft Building Footprints
- **Description:** With the goal to increase the coverage of building footprint data available as open data for OpenStreetMap and humanitarian efforts, we have released millions of building footprints as open data available to download free of charge.
- *... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5338/comments | https://api.github.com/repos/huggingface/datasets/issues/5338/events | https://github.com/huggingface/datasets/issues/5338 | 1,482,646,151 | I_kwDODunzps5YX2KH | 5,338 | `map()` stops every 1000 steps | {
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"Hi !\r\n\r\n> It starts using all the cores (I am not sure why because I did not pass num_proc)\r\n\r\nThe tokenizer uses Rust code that is multithreaded. And maybe the `feature_extractor` might run some things in parallel as well - but I'm not super familiar with its internals.\r\n\r\n> then progress bar stops at... | 2022-12-07T19:09:40Z | 2025-02-14T18:10:07Z | 2022-12-10T00:39:28Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am passing the following `prepare_dataset` function to `Dataset.map` (code is inspired from [here](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_speech_recognition_seq2seq_streaming.py#L454))
```python3
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# load and res... | {
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https://api.github.com/repos/huggingface/datasets/issues/3217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3217/comments | https://api.github.com/repos/huggingface/datasets/issues/3217/events | https://github.com/huggingface/datasets/issues/3217 | 1,045,029,710 | I_kwDODunzps4-SeNO | 3,217 | Fix code quality bug in riddle_sense dataset | {
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"To give more context: https://github.com/psf/black/issues/318. `black` doesn't treat this as a bug, but `flake8` does. \r\n"
] | 2021-11-04T17:40:32Z | 2021-11-04T17:50:02Z | 2021-11-04T17:50:02Z | {
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```
datasets/riddle_sense/riddle_sense.py:36:21: W291 trailing whitespace
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1941/comments | https://api.github.com/repos/huggingface/datasets/issues/1941/events | https://github.com/huggingface/datasets/issues/1941 | 815,985,167 | MDU6SXNzdWU4MTU5ODUxNjc= | 1,941 | Loading of FAISS index fails for index_name = 'exact' | {
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"Thanks for reporting ! I'm taking a look",
"Index training was missing, I fixed it here: https://github.com/huggingface/datasets/commit/f5986c46323583989f6ed1dabaf267854424a521\r\n\r\nCan you try again please ?",
"Works great 👍 I just put a minor comment on the commit, I think you meant to pass the `train_siz... | 2021-02-25T01:30:54Z | 2021-02-25T14:28:46Z | 2021-02-25T14:28:46Z | {
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It looks like loading of FAISS index now fails when using index_name = 'exact'.
For example, from the RAG [model card](https://huggingface.co/facebook/rag-token-nq?fbclid=IwAR3bTfhls5U_t9DqsX2Vzb7NhtRHxJxfQ-uwFT7VuCPMZUM2AdAlKF_qkI8#usage).
Running `transformers==4.3.2` and datasets installed from source o... | {
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https://api.github.com/repos/huggingface/datasets/issues/261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/261/comments | https://api.github.com/repos/huggingface/datasets/issues/261/events | https://github.com/huggingface/datasets/issues/261 | 636,372,380 | MDU6SXNzdWU2MzYzNzIzODA= | 261 | Downloading dataset error with pyarrow.lib.RecordBatch | {
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"When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:\r\n```\r\nWARNING: The following packages were previously imported in this runtime:\r\n [pyarrow]\r\nYou must restart the runtime in order to use newly... | 2020-06-10T16:04:19Z | 2020-06-11T14:35:12Z | 2020-06-11T14:35:12Z | null | NONE | [] | null | null | {
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} | I am trying to download `sentiment140` and I have the following error
```
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=... | {
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https://api.github.com/repos/huggingface/datasets/issues/6690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6690/comments | https://api.github.com/repos/huggingface/datasets/issues/6690/events | https://github.com/huggingface/datasets/issues/6690 | 2,150,800,065 | I_kwDODunzps6AMprB | 6,690 | Add function to convert a script-dataset to Parquet | {
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https://api.github.com/repos/huggingface/datasets/issues/4498 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4498/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4498/comments | https://api.github.com/repos/huggingface/datasets/issues/4498/events | https://github.com/huggingface/datasets/issues/4498 | 1,272,100,549 | I_kwDODunzps5L0rbF | 4,498 | WER and CER > 1 | {
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"WER can have values bigger than 1.0, this is expected when there are too many insertions\r\n\r\nFrom [wikipedia](https://en.wikipedia.org/wiki/Word_error_rate):\r\n> Note that since N is the number of words in the reference, the word error rate can be larger than 1.0"
] | 2022-06-15T11:35:12Z | 2022-06-15T16:38:05Z | 2022-06-15T16:38:05Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
It seems that in some cases in which the `prediction` is longer than the `reference` we may have word/character error rate higher than 1 which is a bit odd.
If it's a real bug I think I can solve it with a PR changing [this](https://github.com/huggingface/datasets/blob/master/metrics/wer/wer.py#... | {
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https://api.github.com/repos/huggingface/datasets/issues/2010 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2010/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2010/comments | https://api.github.com/repos/huggingface/datasets/issues/2010/events | https://github.com/huggingface/datasets/issues/2010 | 825,567,635 | MDU6SXNzdWU4MjU1Njc2MzU= | 2,010 | Local testing fails | {
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"I'm not able to reproduce on my side.\r\nCan you provide the full stacktrace please ?\r\nWhat version of `python` and `dill` do you have ? Which OS are you using ?",
"```\r\nco_filename = '<ipython-input-2-e0383a102aae>', returned_obj = [0]\r\n ... | 2021-03-09T09:01:38Z | 2021-03-09T14:06:03Z | 2021-03-09T14:06:03Z | {
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https://github.com/huggingface/datasets/blob/8eee4fa9e133fe873a7993ba746d32ca2b687551/.circleci/config.yml#L16-L19
in a new conda environment, at commit https://github.com/huggingface/datasets/commit/4de6dbf84e93dad97e1000120d6628c88954e5d4
and getting
```
FAILED... | {
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https://api.github.com/repos/huggingface/datasets/issues/4634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4634/comments | https://api.github.com/repos/huggingface/datasets/issues/4634/events | https://github.com/huggingface/datasets/issues/4634 | 1,294,405,251 | I_kwDODunzps5NJw6D | 4,634 | Can't load the Hausa audio dataset | {
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"Could you provide the error details. It is difficult to debug otherwise. Also try other config. `ha` is not a valid."
] | 2022-07-05T14:47:36Z | 2022-09-13T14:07:32Z | 2022-09-13T14:07:32Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/647/comments | https://api.github.com/repos/huggingface/datasets/issues/647/events | https://github.com/huggingface/datasets/issues/647 | 704,734,764 | MDU6SXNzdWU3MDQ3MzQ3NjQ= | 647 | Cannot download dataset_info.json | {
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"Thanks for reporting !\r\nWe should add support for servers without internet connection indeed\r\nI'll do that early next week",
"Thanks, @lhoestq !\r\nPlease let me know when it is available. ",
"Right now the recommended way is to create the dataset on a server with internet connection and then to save it an... | 2020-09-19T01:35:15Z | 2020-09-21T08:28:42Z | 2020-09-21T08:28:42Z | null | NONE | [] | null | null | {
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} | I am running my job on a cloud server where does not provide for connections from the standard compute nodes to outside resources. Hence, when I use `dataset.load_dataset()` to load data, I got an error like this:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/text... | {
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https://api.github.com/repos/huggingface/datasets/issues/7372 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7372/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7372/comments | https://api.github.com/repos/huggingface/datasets/issues/7372/events | https://github.com/huggingface/datasets/issues/7372 | 2,791,760,968 | I_kwDODunzps6mZuRI | 7,372 | Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets | {
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} | ### Description
I encountered an inconsistency in behavior between `load_dataset` and `load_from_disk` when loading sharded datasets. Here is a minimal example to reproduce the issue:
#### Code 1: Using `load_dataset`
```python
from datasets import Dataset, load_dataset
# First save with max_shard_size=10
Dataset.fr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/328/comments | https://api.github.com/repos/huggingface/datasets/issues/328/events | https://github.com/huggingface/datasets/issues/328 | 648,326,841 | MDU6SXNzdWU2NDgzMjY4NDE= | 328 | Fork dataset | {
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"To be able to generate the Arrow dataset you need to either use our csv or json utilities `load_dataset(\"json\", data_files=my_json_files)` OR write your own custom dataset script (you can find some inspiration from the [squad](https://github.com/huggingface/nlp/blob/master/datasets/squad/squad.py) script for exa... | 2020-06-30T16:42:53Z | 2020-07-06T21:43:59Z | 2020-07-06T21:43:59Z | null | NONE | [] | null | null | {
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} | We have a multi-task learning model training I'm trying to convert to using the Arrow-based nlp dataset.
We're currently training a custom TensorFlow model but the nlp paradigm should be a bridge for us to be able to use the wealth of pre-trained models in Transformers.
Our preprocessing flow parses raw text and... | {
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"Hi ! Indeed there's an issue with those links.\r\nWe should probably use the target urls of the redirections instead",
"Hi, the same issue here, could you tell me how to download it through datasets? thanks ",
"Same issue. ",
"Actually it's already fixed on the master branch since #740 \r\nI'll do the 1.1.3 ... | 2020-11-03T17:45:22Z | 2022-02-14T15:34:22Z | 2022-02-14T15:34:22Z | null | NONE | [] | null | null | {
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} | ## Problem
I cannot load "trec" dataset, it results with ConnectionError as shown below. I've tried on both Google Colab and locally.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label')` returns <Response [302]>.
* `requests.head('http://cogcomp.org/Data/QA/QC/train_5500.label', allow_redirects=True... | {
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https://api.github.com/repos/huggingface/datasets/issues/1864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1864/comments | https://api.github.com/repos/huggingface/datasets/issues/1864/events | https://github.com/huggingface/datasets/issues/1864 | 806,172,843 | MDU6SXNzdWU4MDYxNzI4NDM= | 1,864 | Add Winogender Schemas | {
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"Nevermind, this one is already available on the hub under the name `'wino_bias'`: https://huggingface.co/datasets/wino_bias"
] | 2021-02-11T08:18:38Z | 2021-02-11T08:19:51Z | 2021-02-11T08:19:51Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** Winogender Schemas
- **Description:** Winogender Schemas (inspired by Winograd Schemas) are minimal pairs of sentences that differ only by the gender of one pronoun in the sentence, designed to test for the presence of gender bias in automated coreference resolution systems.
- **Paper... | {
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https://api.github.com/repos/huggingface/datasets/issues/846 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/846/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/846/comments | https://api.github.com/repos/huggingface/datasets/issues/846/events | https://github.com/huggingface/datasets/issues/846 | 741,885,174 | MDU6SXNzdWU3NDE4ODUxNzQ= | 846 | Add HoVer multi-hop fact verification dataset | {
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"Hi @yjernite I'm new but wanted to contribute. Has anyone already taken this problem and do you think it is suitable for newbies?",
"Hi @tenjjin! This dataset is still up for grabs! Here's the link with the guide to add it. You should play around with the library first (download and look at a few datasets), the... | 2020-11-12T19:55:46Z | 2020-12-10T21:47:33Z | 2020-12-10T21:47:33Z | null | MEMBER | [] | null | null | {
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- **Name:** HoVer
- **Description:** https://twitter.com/YichenJiang9/status/1326954363806429186 contains 20K claim verification examples
- **Paper:** https://arxiv.org/abs/2011.03088
- **Data:** https://hover-nlp.github.io/
- **Motivation:** There are still few multi-hop information extraction... | {
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https://api.github.com/repos/huggingface/datasets/issues/263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/263/comments | https://api.github.com/repos/huggingface/datasets/issues/263/events | https://github.com/huggingface/datasets/issues/263 | 637,028,015 | MDU6SXNzdWU2MzcwMjgwMTU= | 263 | [Feature request] Support for external modality for language datasets | {
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"Thanks a lot, @aleSuglia for the very detailed and introductive feature request.\r\nIt seems like we could build something pretty useful here indeed.\r\n\r\nOne of the questions here is that Arrow doesn't have built-in support for generic \"tensors\" in records but there might be ways to do that in a clean way. We... | 2020-06-11T13:42:18Z | 2022-02-10T13:26:35Z | 2022-02-10T13:26:35Z | null | CONTRIBUTOR | [] | null | null | {
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} | # Background
In recent years many researchers have advocated that learning meanings from text-based only datasets is just like asking a human to "learn to speak by listening to the radio" [[E. Bender and A. Koller,2020](https://openreview.net/forum?id=GKTvAcb12b), [Y. Bisk et. al, 2020](https://arxiv.org/abs/2004.10... | {
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https://api.github.com/repos/huggingface/datasets/issues/5178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5178/comments | https://api.github.com/repos/huggingface/datasets/issues/5178/events | https://github.com/huggingface/datasets/issues/5178 | 1,430,800,810 | I_kwDODunzps5VSEmq | 5,178 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found! | {
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"In the dumps page of the wiki (https://dumps.wikimedia.org/zhwiki/), I found the following dumps:\r\n```\r\nIndex of /zhwiki/\r\n[../](https://dumps.wikimedia.org/)\r\n[20220701/](https://dumps.wikimedia.org/zhwiki/20220701/) 21-Aug-2022 01:48 -\r\n[202207... | 2022-11-01T03:17:55Z | 2022-11-02T08:27:15Z | 2022-11-02T08:24:29Z | {
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} | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | {
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https://api.github.com/repos/huggingface/datasets/issues/7475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7475/comments | https://api.github.com/repos/huggingface/datasets/issues/7475/events | https://github.com/huggingface/datasets/issues/7475 | 2,946,640,570 | I_kwDODunzps6voiq6 | 7,475 | IterableDataset's state_dict shard_example_idx is always equal to the number of samples in a shard | {
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"Hey, I’d love to work on this issue but I am a beginner, can I work it with you?",
"Hello. I'm sorry but I don't have much time to get in the details for now.\nHave you managed to reproduce the issue with the code provided ?\nIf you want to work on it, you can self-assign and ask @lhoestq for directions",
"Hi ... | 2025-03-25T13:58:07Z | 2025-12-12T16:15:37Z | 2025-05-06T14:05:07Z | {
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} | ### Describe the bug
I've noticed a strange behaviour with Iterable state_dict: the value of shard_example_idx is always equal to the amount of samples in a shard.
### Steps to reproduce the bug
I am reusing the example from the doc
```python
from datasets import Dataset
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https://api.github.com/repos/huggingface/datasets/issues/5426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5426/comments | https://api.github.com/repos/huggingface/datasets/issues/5426/events | https://github.com/huggingface/datasets/issues/5426 | 1,535,158,555 | I_kwDODunzps5bgKkb | 5,426 | CI tests are broken: SchemaInferenceError | {
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```
FAILED tests/test_beam.py::BeamBuilderTest::test_download_and_prepare_sharded - datasets.arrow_writer.SchemaInferenceError: Please pass `feat... | {
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https://api.github.com/repos/huggingface/datasets/issues/4134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4134/comments | https://api.github.com/repos/huggingface/datasets/issues/4134/events | https://github.com/huggingface/datasets/issues/4134 | 1,197,937,146 | I_kwDODunzps5HZxH6 | 4,134 | ELI5 supporting documents | {
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"Hi ! Please post your question on the [forum](https://discuss.huggingface.co/), more people will be able to help you there ;)"
] | 2022-04-08T23:36:27Z | 2022-04-13T13:52:46Z | null | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4639/comments | https://api.github.com/repos/huggingface/datasets/issues/4639/events | https://github.com/huggingface/datasets/issues/4639 | 1,295,367,322 | I_kwDODunzps5NNbya | 4,639 | Add HaGRID -- HAnd Gesture Recognition Image Dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
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] | open | false | [] | null | [] | 2022-07-06T07:41:32Z | 2022-07-06T07:41:32Z | null | null | CONTRIBUTOR | [] | null | null | {
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- **Name:** HaGRID -- HAnd Gesture Recognition Image Dataset
- **Description:** We introduce a large image dataset HaGRID (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. You can use it for image classification or image detection tasks. Proposed dataset allows t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3901 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3901/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3901/comments | https://api.github.com/repos/huggingface/datasets/issues/3901/events | https://github.com/huggingface/datasets/issues/3901 | 1,167,339,773 | I_kwDODunzps5FlDD9 | 3,901 | Dataset viewer issue for IndicParaphrase- the preview doesn't show | {
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"It seems to have been fixed:\r\n\r\n<img width=\"1534\" alt=\"Capture d’écran 2022-04-12 à 14 10 07\" src=\"https://user-images.githubusercontent.com/1676121/162959599-6b7fef7c-8411-4e03-8f00-90040a658079.png\">\r\n"
] | 2022-03-12T16:56:05Z | 2022-04-12T12:10:50Z | 2022-04-12T12:10:49Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for '*IndicParaphrase*'
**Link:** *[IndicParaphrase](https://huggingface.co/datasets/ai4bharat/IndicParaphrase/viewer/hi/validation)*
*The preview of the dataset doesn't come up.
The error on the console is:
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5809/comments | https://api.github.com/repos/huggingface/datasets/issues/5809/events | https://github.com/huggingface/datasets/issues/5809 | 1,689,797,293 | I_kwDODunzps5kuEKt | 5,809 | wiki_dpr details for Open Domain Question Answering tasks | {
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"Hi ! I don't remember exactly how it was done, but maybe you have to embed `f\"{title}<sep>{text}\"` ?\r\n\r\nUsing a HF tokenizer it corresponds to doing\r\n```python\r\ntokenized = tokenizer(titles, texts)\r\n```"
] | 2023-04-30T06:12:04Z | 2023-07-21T14:11:00Z | 2023-07-21T14:11:00Z | null | NONE | [] | null | null | {
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} | Hey guys!
Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | {
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https://api.github.com/repos/huggingface/datasets/issues/2976 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2976/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2976/comments | https://api.github.com/repos/huggingface/datasets/issues/2976/events | https://github.com/huggingface/datasets/issues/2976 | 1,008,647,889 | I_kwDODunzps48Hr7R | 2,976 | Can't load dataset | {
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"Hi @mskovalova, \r\n\r\nSome datasets have multiple configurations. Therefore, in order to load them, you have to specify both the *dataset name* and the *configuration name*.\r\n\r\nIn the error message you got, you have a usage example:\r\n- To load the 'wikitext-103-raw-v1' configuration of the 'wikitext' datas... | 2021-09-27T21:38:14Z | 2024-04-08T03:27:29Z | 2021-09-28T06:53:01Z | {
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} | I'm trying to load a wikitext dataset
```
from datasets import load_dataset
raw_datasets = load_dataset("wikitext")
```
ValueError: Config name is missing.
Please pick one among the available configs: ['wikitext-103-raw-v1', 'wikitext-2-raw-v1', 'wikitext-103-v1', 'wikitext-2-v1']
Example of usage:
`load_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/3983 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3983/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3983/comments | https://api.github.com/repos/huggingface/datasets/issues/3983/events | https://github.com/huggingface/datasets/issues/3983 | 1,175,759,412 | I_kwDODunzps5GFKo0 | 3,983 | Infinitely attempting lock | {
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"Hi ! Thanks for reporting. We're using filelock` as our locking mechanism.\r\n\r\nCan you try deleting the .lock file mentioned in the logs and try again ? Make sure that no other process is generating the `cnn_dailymail` dataset.\r\n\r\nIf it doesn't work, could you try to set up a lock using the latest version ... | 2022-03-21T18:11:57Z | 2024-05-09T08:24:34Z | 2022-05-06T16:12:18Z | null | NONE | [] | null | null | {
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} | I am trying to run one of the examples of the `transformers` repo, which makes use of `datasets`.
Important to note is that I am trying to run this via a Databricks notebook, and all the files reside in the Databricks Filesystem (DBFS).
```
%sh
python /dbfs/transformers/examples/pytorch/summarization/run_summariz... | {
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https://api.github.com/repos/huggingface/datasets/issues/7864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7864/comments | https://api.github.com/repos/huggingface/datasets/issues/7864/events | https://github.com/huggingface/datasets/issues/7864 | 3,619,137,823 | I_kwDODunzps7Xt6kf | 7,864 | add_column and add_item erroneously(?) require new_fingerprint parameter | {
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"Take this with a grain of salt, this is just my personal understanding:\nWhile you technically can overwrite the new_fingerprint with a string, e.g.\n```python\nt = d.add_column(\"new_column\", col_value, new_fingerprint=\"dummy_fp\")\nassert t._fingerprint == \"dummy_fp\" # this is true and will pass\n```\nthis ... | 2025-11-13T02:56:49Z | 2026-05-10T11:51:01Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Contradicting their documentation (which doesn't mention the parameter at all), both Dataset.add_column and Dataset.add_item require a new_fingerprint string. This parameter is passed directly to the dataset constructor, which has the fingerprint parameter listed as optional; is there any reason i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7580/comments | https://api.github.com/repos/huggingface/datasets/issues/7580/events | https://github.com/huggingface/datasets/issues/7580 | 3,082,993,027 | I_kwDODunzps63wr2D | 7,580 | Requesting a specific split (eg: test) still downloads all (train, test, val) data when streaming=False. | {
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"Hi ! There was a PR open to improve this: https://github.com/huggingface/datasets/pull/6832 \nbut it hasn't been continued so far.\n\nIt would be a cool improvement though !",
"Been having this problem with datasets and dataloader for a while."
] | 2025-05-22T11:08:16Z | 2025-11-05T16:25:53Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When using load_dataset() from the datasets library (in load.py), specifying a particular split (e.g., split="train") still results in downloading data for all splits when streaming=False. This happens during the builder_instance.download_and_prepare() call.
This behavior leads to unnecessary band... | null | {
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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 | null | NONE | [] | null | null | {
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} | ### 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/2624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2624/comments | https://api.github.com/repos/huggingface/datasets/issues/2624/events | https://github.com/huggingface/datasets/issues/2624 | 941,318,247 | MDU6SXNzdWU5NDEzMTgyNDc= | 2,624 | can't set verbosity for `metric.py` | {
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"Thanks @thomas-happify for reporting and thanks @mariosasko for the fix."
] | 2021-07-10T20:23:45Z | 2021-07-12T05:54:29Z | 2021-07-12T05:54:29Z | null | NONE | [] | null | null | {
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```
[2021-07-10 20:13:11,528][datasets.utils.filelock][INFO] - Lock 139705371374976 acquired on /root/.cache/huggingface/metrics/seqeval/default/default_experiment-1-0.arrow.lock
[2021-07-10 20:13:11,529][datasets.arrow_writer][INFO] - Done writing 32 examples in 6100 bytes /root/.cache/huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/6078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6078/comments | https://api.github.com/repos/huggingface/datasets/issues/6078/events | https://github.com/huggingface/datasets/issues/6078 | 1,822,501,472 | I_kwDODunzps5soSpg | 6,078 | resume_download with streaming=True | {
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"Currently, it's not possible to efficiently resume streaming after an error. Eventually, we plan to support this for Parquet (see https://github.com/huggingface/datasets/issues/5380). ",
"Ok thank you for your answer",
"I'm closing this as a duplicate of #5380"
] | 2023-07-26T14:08:22Z | 2023-07-28T11:05:03Z | 2023-07-28T11:05:03Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I used:
```
dataset = load_dataset(
"oscar-corpus/OSCAR-2201",
token=True,
language="fr",
streaming=True,
split="train"
)
```
Unfortunately, the server had a problem during the training process. I saved the step my training stopped at.
But how can I resume download f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6689 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6689/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6689/comments | https://api.github.com/repos/huggingface/datasets/issues/6689/events | https://github.com/huggingface/datasets/issues/6689 | 2,149,581,147 | I_kwDODunzps6AIAFb | 6,689 | .load_dataset() method defaults to zstandard | {
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"The dataset is made of JSON files compressed using zstandard, as you can see here: https://huggingface.co/datasets/cerebras/SlimPajama-627B/tree/main/test/chunk1\r\n\r\nThat's why it asks for zstandard to be installed.\r\n\r\nThough I'm intrigued that you manage to load the dataset without zstandard installed. May... | 2024-02-22T17:39:27Z | 2024-03-07T14:54:16Z | 2024-03-07T14:54:15Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Regardless of what method I use, datasets defaults to zstandard for unpacking my datasets.
This is poor behavior, because not only is zstandard not a dependency in the huggingface package (and therefore, your dataset loading will be interrupted while it asks you to install the package), but it ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3165/comments | https://api.github.com/repos/huggingface/datasets/issues/3165/events | https://github.com/huggingface/datasets/issues/3165 | 1,036,448,998 | I_kwDODunzps49xvTm | 3,165 | Deprecate prepare_module | {
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} | In version 1.13, `prepare_module` was deprecated.
Add deprecation warning and remove its usage from all the library. | {
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https://api.github.com/repos/huggingface/datasets/issues/1770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1770/comments | https://api.github.com/repos/huggingface/datasets/issues/1770/events | https://github.com/huggingface/datasets/issues/1770 | 792,698,148 | MDU6SXNzdWU3OTI2OTgxNDg= | 1,770 | how can I combine 2 dataset with different/same features? | {
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"Hi ! Currently we don't have a way to `zip` datasets but we plan to add this soon :)\r\nFor now you'll need to use `map` to add the fields from one dataset to the other. See the comment here for more info : https://github.com/huggingface/datasets/issues/853#issuecomment-727872188",
"Good to hear.\r\nCurrently I ... | 2021-01-24T01:26:06Z | 2022-06-01T15:43:15Z | 2022-06-01T15:43:15Z | null | NONE | [] | null | null | {
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} | to combine 2 dataset by one-one map like ds = zip(ds1, ds2):
ds1: {'text'}, ds2: {'text'}, combine ds:{'src', 'tgt'}
or different feature:
ds1: {'src'}, ds2: {'tgt'}, combine ds:{'src', 'tgt'} | {
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https://api.github.com/repos/huggingface/datasets/issues/3324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3324/comments | https://api.github.com/repos/huggingface/datasets/issues/3324/events | https://github.com/huggingface/datasets/issues/3324 | 1,064,661,212 | I_kwDODunzps4_dXDc | 3,324 | Can't import `datasets` in python 3.10 | {
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} | When importing `datasets` I'm getting this error in python 3.10:
```python
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/__init__.py", line 34, in <module>
from .arrow_dataset import Dataset, concatenate_datasets
File "/Use... | {
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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 | null | CONTRIBUTOR | [] | null | null | {
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} | ### 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/6122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6122/comments | https://api.github.com/repos/huggingface/datasets/issues/6122/events | https://github.com/huggingface/datasets/issues/6122 | 1,837,335,721 | I_kwDODunzps5tg4Sp | 6,122 | Upload README via `push_to_hub` | {
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"You can use `huggingface_hub`'s [Card API](https://huggingface.co/docs/huggingface_hub/package_reference/cards) to programmatically push a dataset card to the Hub."
] | 2023-08-04T21:00:27Z | 2023-08-21T18:18:54Z | 2023-08-21T18:18:54Z | null | NONE | [] | null | null | {
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} | ### Feature request
`push_to_hub` now allows users to upload datasets programmatically. However, based on the latest doc, we still need to open the dataset page to add readme file manually.
However, I do discover snippets to intialize a README for every `push_to_hub`:
```
dataset_card = (
DatasetCard(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5209/comments | https://api.github.com/repos/huggingface/datasets/issues/5209/events | https://github.com/huggingface/datasets/issues/5209 | 1,438,367,678 | I_kwDODunzps5Vu7-- | 5,209 | Implement ability to define splits in metadata section of dataset card | {
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"@merveenoyan Do you want different files to be splits or configurations?\r\n\r\nFrom [what you specified in `Readme.md`](https://huggingface.co/datasets/inria-soda/tabular-benchmark/commit/fb4575853772c62a20203bdd6cc0202f5db4ce4e) I hypothesize that you want to have 4 **configs** corresponding to directories: `\"c... | 2022-11-07T13:27:16Z | 2023-07-21T14:36:02Z | 2023-07-21T14:36:01Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. I’d like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | {
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https://api.github.com/repos/huggingface/datasets/issues/3769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3769/comments | https://api.github.com/repos/huggingface/datasets/issues/3769/events | https://github.com/huggingface/datasets/issues/3769 | 1,146,258,023 | I_kwDODunzps5EUoJn | 3,769 | `dataset = dataset.map()` causes faiss index lost | {
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"Hi ! Indeed `map` is dropping the index right now, because one can create a dataset with more or fewer rows using `map` (and therefore the index might not be relevant anymore)\r\n\r\nI guess we could check the resulting dataset length, and if the user hasn't changed the dataset size we could keep the index, what d... | 2022-02-21T21:59:23Z | 2022-06-27T14:56:29Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
assigning the resulted dataset to original dataset causes lost of the faiss index
## Steps to reproduce the bug
`my_dataset` is a regular loaded dataset. It's a part of a customed dataset structure
```python
self.dataset.add_faiss_index('embeddings')
self.dataset.list_indexes()
# ['embeddin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5679 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5679/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5679/comments | https://api.github.com/repos/huggingface/datasets/issues/5679/events | https://github.com/huggingface/datasets/issues/5679 | 1,645,184,622 | I_kwDODunzps5iD4Zu | 5,679 | Allow load_dataset to take a working dir for intermediate data | {
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"Hi ! AFAIK a dataset must be present on a local disk to be able to efficiently memory map the datasets Arrow files. What makes you think that it is possible to load from a cloud storage and have good performance ?\r\n\r\nAnyway it's already possible to download_and_prepare a dataset as Arrow files in a cloud stora... | 2023-03-29T07:21:09Z | 2023-04-12T22:30:25Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
As a user, I can set a working dir for intermediate data creation. The processed files will be moved to the cache dir, like
```
load_dataset(…, working_dir=”/temp/dir”, cache_dir=”/cloud_dir”).
```
### Motivation
This will help the use case for using datasets with cloud storage as cache. It wi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2450/comments | https://api.github.com/repos/huggingface/datasets/issues/2450/events | https://github.com/huggingface/datasets/issues/2450 | 912,890,291 | MDU6SXNzdWU5MTI4OTAyOTE= | 2,450 | BLUE file not found | {
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"Hi ! The `blue` metric doesn't exist, but the `bleu` metric does.\r\nYou can get the full list of metrics [here](https://github.com/huggingface/datasets/tree/master/metrics) or by running\r\n```python\r\nfrom datasets import list_metrics\r\n\r\nprint(list_metrics())\r\n```",
"Ah, my mistake. Thanks for correctin... | 2021-06-06T17:01:54Z | 2021-06-07T10:46:15Z | 2021-06-07T10:46:15Z | null | NONE | [] | null | null | {
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} | Hi, I'm having the following issue when I try to load the `blue` metric.
```shell
import datasets
metric = datasets.load_metric('blue')
Traceback (most recent call last):
File "/home/irfan/environments/Perplexity_Transformers/lib/python3.6/site-packages/datasets/load.py", line 320, in prepare_module
local... | {
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https://api.github.com/repos/huggingface/datasets/issues/7911 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7911/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7911/comments | https://api.github.com/repos/huggingface/datasets/issues/7911/events | https://github.com/huggingface/datasets/issues/7911 | 3,753,447,559 | I_kwDODunzps7fuRCH | 7,911 | IndexError when saving few large examples to disk | {
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} | ### Describe the bug
I ran into this issue when processing a file (900MB) with just one example but simplified for a quicker reproducer below. The problem is that, if `num_shards` is not explicitly set, we calculate it manually using https://github.com/huggingface/datasets/blob/main/src/datasets/utils/py_utils.py#L96 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2166 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2166/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2166/comments | https://api.github.com/repos/huggingface/datasets/issues/2166/events | https://github.com/huggingface/datasets/issues/2166 | 849,778,545 | MDU6SXNzdWU4NDk3Nzg1NDU= | 2,166 | Regarding Test Sets for the GEM datasets | {
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"Hi @vyraun ! The test references for CommonGen are not publicly available: you can reach out to the original dataset authors if you would like to ask for them, but we will not be releasing them as part of GEM (March 31st was the release date for the test set inputs, references are incidentally released for some of... | 2021-04-04T02:02:45Z | 2021-04-06T08:13:12Z | 2021-04-06T08:13:12Z | null | NONE | [] | null | null | {
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} | @yjernite Hi, are the test sets for the GEM datasets scheduled to be [added soon](https://gem-benchmark.com/shared_task)?
e.g.
```
from datasets import load_dataset
DATASET_NAME="common_gen"
data = load_dataset("gem", DATASET_NAME)
```
The test set doesn't have the target or references.
```
data['test... | {
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https://api.github.com/repos/huggingface/datasets/issues/412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/412/comments | https://api.github.com/repos/huggingface/datasets/issues/412/events | https://github.com/huggingface/datasets/issues/412 | 660,047,139 | MDU6SXNzdWU2NjAwNDcxMzk= | 412 | Unable to load XTREME dataset from disk | {
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"Hi @lewtun, you have to provide the full path to the downloaded file for example `/home/lewtum/..`",
"I was able to repro. Opening a PR to fix that.\r\nThanks for reporting this issue !",
"Thanks for the rapid fix @lhoestq!"
] | 2020-07-18T09:55:00Z | 2020-07-21T08:15:44Z | 2020-07-21T08:15:44Z | null | MEMBER | [] | null | null | {
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} | Hi 🤗 team!
## Description of the problem
Following the [docs](https://huggingface.co/nlp/loading_datasets.html?highlight=xtreme#manually-downloading-files) I'm trying to load the `PAN-X.fr` dataset from the [XTREME](https://github.com/google-research/xtreme) benchmark.
I have manually downloaded the `AmazonPho... | {
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https://api.github.com/repos/huggingface/datasets/issues/4101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4101/comments | https://api.github.com/repos/huggingface/datasets/issues/4101/events | https://github.com/huggingface/datasets/issues/4101 | 1,193,399,204 | I_kwDODunzps5HIdOk | 4,101 | How can I download only the train and test split for full numbers using load_dataset()? | {
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"Hi! Can you please specify the full name of the dataset? IIRC `full_numbers` is one of the configs of the `svhn` dataset, and its generation is slow due to data being stored in binary Matlab files. Even if you specify a specific split, `datasets` downloads all of them, but we plan to fix that soon and only downloa... | 2022-04-05T16:00:15Z | 2022-04-06T13:09:01Z | null | null | NONE | [] | null | null | {
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I do not need the extra split and it will take 40 mins just to download in Colab. I have very short time in hand. Please help. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5383/comments | https://api.github.com/repos/huggingface/datasets/issues/5383/events | https://github.com/huggingface/datasets/issues/5383 | 1,507,293,968 | I_kwDODunzps5Z13sQ | 5,383 | IterableDataset missing column_names, differs from Dataset interface | {
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"Another example is that `IterableDataset.map` does not have `fn_kwargs`, among other arguments. It makes it harder to convert code from Dataset to IterableDataset.",
"Hi! `fn_kwargs` was added to `IterableDataset.map` in `datasets 2.5.0`, so please update your installation (`pip install -U datasets`) to use it.\... | 2022-12-22T05:27:02Z | 2023-03-13T19:03:33Z | 2023-03-13T19:03:33Z | {
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} | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | {
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https://api.github.com/repos/huggingface/datasets/issues/3572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3572/comments | https://api.github.com/repos/huggingface/datasets/issues/3572/events | https://github.com/huggingface/datasets/issues/3572 | 1,100,634,244 | I_kwDODunzps5BmliE | 3,572 | ConnectionError in IndicGLUE dataset | {
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"@sahoodib, thanks for reporting.\r\n\r\nIndeed, none of the data links appearing in the IndicGLUE website are working, e.g.: https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/soham-articles.tar.gz\r\n```\r\n<Error>\r\n<Code>UserProjectAccountProblem</Code>\r\n<Message>User project billi... | 2022-01-12T17:59:36Z | 2022-09-15T21:57:34Z | 2022-09-15T21:57:34Z | {
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} | While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403) | {
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https://api.github.com/repos/huggingface/datasets/issues/6850 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6850/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6850/comments | https://api.github.com/repos/huggingface/datasets/issues/6850/events | https://github.com/huggingface/datasets/issues/6850 | 2,269,500,624 | I_kwDODunzps6HRdTQ | 6,850 | Problem loading voxpopuli dataset | {
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"Version 2.18 works without problem.",
"@Namangarg110 @mohsen-goodarzi The bug appears because the number of urls is less than 16 and the algorithm is meant to work on the previously created mode for a single url as stated on line 314: https://github.com/huggingface/datasets/blob/1bf8a46cc7b096d5c547ea3794f6a4b6... | 2024-04-29T16:46:51Z | 2024-05-06T09:25:54Z | 2024-05-06T09:25:54Z | {
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} | ### Describe the bug
```
Exception has occurred: FileNotFoundError
Couldn't find file at https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/{'en': 'data/en/asr_train.tsv'}
```
Error in logic for link url creation. The link should be https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/da... | {
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https://api.github.com/repos/huggingface/datasets/issues/6637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6637/comments | https://api.github.com/repos/huggingface/datasets/issues/6637/events | https://github.com/huggingface/datasets/issues/6637 | 2,113,025,975 | I_kwDODunzps598je3 | 6,637 | 'with_format' is extremely slow when used together with 'interleave_datasets' or 'shuffle' on IterableDatasets | {
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"The \"torch\" formatting is usually fast because we do zero-copy conversion from the Arrow data on your disk to Torch tensors. However IterableDataset shuffling seems to do data copies that slow down the pipeline, and it shuffles python objects instead of Arrow data.\r\n\r\nTo fix this we need to implement `Buffer... | 2024-02-01T17:16:54Z | 2025-09-18T16:37:11Z | 2025-09-18T16:37:11Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
If you:
1. Interleave two iterable datasets together with the interleave_datasets function, or shuffle an iterable dataset
2. Set the output format to torch tensors with .with_format('torch')
Then iterating through the dataset becomes over 100x slower than it is if you don't apply the torch... | {
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https://api.github.com/repos/huggingface/datasets/issues/7818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7818/comments | https://api.github.com/repos/huggingface/datasets/issues/7818/events | https://github.com/huggingface/datasets/issues/7818 | 3,515,887,618 | I_kwDODunzps7RkDAC | 7,818 | train_test_split and stratify breaks with Numpy 2.0 | {
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"I can't reproduce this. Could you pls provide an example with a public dataset/artificial dataset and show how you loaded that?\n\nThis works for me:\n\n```python\nimport numpy as np\nfrom datasets import Dataset, Features, ClassLabel, Value\n\ndata = {\"text\": [f\"sample_{i}\" for i in range(100)], \"label\": [i... | 2025-10-15T00:01:19Z | 2025-10-28T16:10:44Z | 2025-10-28T16:10:44Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
As stated in the title, since Numpy changed in version >2.0 with copy, the stratify parameters break.
e.g. `all_dataset.train_test_split(test_size=0.2,stratify_by_column="label")` returns a Numpy error.
It works if you downgrade Numpy to a version lower than 2.0.
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3/comments | https://api.github.com/repos/huggingface/datasets/issues/3/events | https://github.com/huggingface/datasets/issues/3 | 600,180,050 | MDU6SXNzdWU2MDAxODAwNTA= | 3 | [Feature] More dataset outputs | {
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"Yes!\r\n- pandas will be a one-liner in `arrow_dataset`: https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.to_pandas\r\n- for Spark I have no idea. let's investigate that at some point",
"For Spark it looks to be pretty straightforward as well https://spark.apache.org/docs/latest/sq... | 2020-04-15T10:08:14Z | 2020-05-04T06:12:27Z | 2020-05-04T06:12:27Z | null | CONTRIBUTOR | [] | null | null | {
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- Spark
- Pandas | {
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https://api.github.com/repos/huggingface/datasets/issues/5674 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5674/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5674/comments | https://api.github.com/repos/huggingface/datasets/issues/5674/events | https://github.com/huggingface/datasets/issues/5674 | 1,641,084,105 | I_kwDODunzps5h0PTJ | 5,674 | Stored XSS | {
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"Hi! You can contact `security@huggingface.co` to report this vulnerability."
] | 2023-03-26T20:55:58Z | 2024-04-30T22:56:41Z | 2023-03-27T21:01:55Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/118/comments | https://api.github.com/repos/huggingface/datasets/issues/118/events | https://github.com/huggingface/datasets/issues/118 | 618,643,088 | MDU6SXNzdWU2MTg2NDMwODg= | 118 | ❓ How to apply a map to all subsets ? | {
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"That's the way!"
] | 2020-05-15T01:58:52Z | 2020-05-15T07:05:49Z | 2020-05-15T07:04:25Z | null | NONE | [] | null | null | {
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} | I'm working with CNN/DM dataset, where I have 3 subsets : `train`, `test`, `validation`.
Should I apply my map function on the subsets one by one ?
```python
import nlp
cnn_dm = nlp.load_dataset('cnn_dailymail')
for corpus in ['train', 'test', 'validation']:
cnn_dm[corpus] = cnn_dm[corpus].map(my_f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6513 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6513/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6513/comments | https://api.github.com/repos/huggingface/datasets/issues/6513/events | https://github.com/huggingface/datasets/issues/6513 | 2,048,869,151 | I_kwDODunzps56H0Mf | 6,513 | Support huggingface-hub 0.20.0 | {
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} | CI to test the support of `huggingface-hub` 0.20.0: https://github.com/huggingface/datasets/compare/main...ci-test-huggingface-hub-v0.20.0.rc1
We need to merge:
- #6510
- #6512
- #6516 | {
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https://api.github.com/repos/huggingface/datasets/issues/7780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7780/comments | https://api.github.com/repos/huggingface/datasets/issues/7780/events | https://github.com/huggingface/datasets/issues/7780 | 3,429,267,259 | I_kwDODunzps7MZnc7 | 7,780 | BIGPATENT dataset inaccessible (deprecated script loader) | {
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"Hi ! I opened https://huggingface.co/datasets/NortheasternUniversity/big_patent/discussions/7 to update the dataset, hopefully it's merged soon !",
"The dataset now works with `datasets` v4 ! closing this issue"
] | 2025-09-18T08:25:34Z | 2025-09-25T14:36:13Z | 2025-09-25T14:36:13Z | null | NONE | [] | null | null | {
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} | dataset: https://huggingface.co/datasets/NortheasternUniversity/big_patent
When I try to load it with the datasets library, it fails with:
RuntimeError: Dataset scripts are no longer supported, but found big_patent.py
Could you please publish a Parquet/Arrow export of BIGPATENT on the Hugging Face so that it can be... | {
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https://api.github.com/repos/huggingface/datasets/issues/5719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5719/comments | https://api.github.com/repos/huggingface/datasets/issues/5719/events | https://github.com/huggingface/datasets/issues/5719 | 1,659,203,222 | I_kwDODunzps5i5W6W | 5,719 | Array2D feature creates a list of list instead of a numpy array | {
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"Hi! \r\n\r\nYou need to set the format to `np` before indexing the dataset to get NumPy arrays:\r\n```python\r\nfeatures = Features(dict(seq=Array2D((2,2), 'float32'))) \r\nds = Dataset.from_dict(dict(seq=[np.random.rand(2,2)]), features=features)\r\nds.set_format(\"np\")\r\na = ds[0]['seq']\r\n```\r\n\r\n> I th... | 2023-04-07T21:04:08Z | 2023-04-20T15:34:41Z | 2023-04-20T15:34:41Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm not sure if this is expected behavior or not. When I create a 2D array using `Array2D`, the data has list type instead of numpy array. I think it should not be the expected behavior especially when I feed a numpy array as input to the data creation function. Why is it converting my array int... | {
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https://api.github.com/repos/huggingface/datasets/issues/5627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5627/comments | https://api.github.com/repos/huggingface/datasets/issues/5627/events | https://github.com/huggingface/datasets/issues/5627 | 1,619,336,609 | I_kwDODunzps5ghR2h | 5,627 | Unable to load AutoTrain-generated dataset from the hub | {
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"The AutoTrain format is not supported right now. I think it would require a dedicated dataset builder",
"Okay, good to know. Thanks for the reply. For now I will just have to\nmanage the split manually before training, because I can’t find any way of\npulling out file indices or file names from the autogenerated... | 2023-03-10T17:25:58Z | 2023-03-11T15:44:42Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
DatasetGenerationError: An error occurred while generating the dataset -> ValueError: Couldn't cast ... because column names don't match
```
ValueError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3990/comments | https://api.github.com/repos/huggingface/datasets/issues/3990/events | https://github.com/huggingface/datasets/issues/3990 | 1,176,976,247 | I_kwDODunzps5GJzt3 | 3,990 | Improve AutomaticSpeechRecognition task template | {
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"There is an open PR to do that: #3364. I just haven't had time to finish it... ",
"> There is an open PR to do that: #3364. I just haven't had time to finish it...\r\n\r\n😬 thanks..."
] | 2022-03-22T15:41:08Z | 2022-03-23T17:12:40Z | 2022-03-23T17:12:40Z | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
[AutomaticSpeechRecognition task template](https://github.com/huggingface/datasets/blob/master/src/datasets/tasks/automatic_speech_recognition.py) is outdated as it uses path to audiofile as an audio column instead of a Audio feature itself (I guess it... | {
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https://api.github.com/repos/huggingface/datasets/issues/2956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2956/comments | https://api.github.com/repos/huggingface/datasets/issues/2956/events | https://github.com/huggingface/datasets/issues/2956 | 1,004,306,367 | I_kwDODunzps473H-_ | 2,956 | Cache problem in the `load_dataset` method for local compressed file(s) | {
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"The problem is still present. \r\nOne solution would be to add the `download_mode=\"force_redownload\"` argument to load_dataset. \r\nHowever, doing so may lead to a `DatasetGenerationError: An error occurred while generating the dataset`. To mitigate, just do:\r\n`rm -r ~/.cache/huggingface/datasets/*`"
] | 2021-09-22T13:34:32Z | 2023-08-31T16:49:01Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Cache problem in the `load_dataset` method: when modifying a compressed file in a local folder `load_dataset` doesn't detect the change and load the previous version.
## Steps to reproduce the bug
To test it directly, I have prepared a [Google Colaboratory notebook](https://colab.research.g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/274 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/274/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/274/comments | https://api.github.com/repos/huggingface/datasets/issues/274/events | https://github.com/huggingface/datasets/issues/274 | 639,156,625 | MDU6SXNzdWU2MzkxNTY2MjU= | 274 | PG-19 | {
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"Sounds good! Do you want to give it a try?",
"Ok, I'll see if I can figure it out tomorrow!",
"Got around to this today, and so far so good, I'm able to download and load pg19 locally. However, I think there may be an issue with the dummy data, and testing in general.\r\n\r\nThe problem lies in the fact that e... | 2020-06-15T21:02:26Z | 2020-07-06T15:35:02Z | 2020-07-06T15:35:02Z | null | CONTRIBUTOR | [] | null | null | {
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} | Hi, and thanks for all your open-sourced work, as always!
I was wondering if you would be open to adding PG-19 to your collection of datasets. https://github.com/deepmind/pg19 It is often used for benchmarking long-range language modeling. | {
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https://api.github.com/repos/huggingface/datasets/issues/4658 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4658/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4658/comments | https://api.github.com/repos/huggingface/datasets/issues/4658/events | https://github.com/huggingface/datasets/issues/4658 | 1,297,001,390 | I_kwDODunzps5NTquu | 4,658 | Transfer CI tests to GitHub Actions | {
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https://api.github.com/repos/huggingface/datasets/issues/4247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4247/comments | https://api.github.com/repos/huggingface/datasets/issues/4247/events | https://github.com/huggingface/datasets/issues/4247 | 1,218,320,882 | I_kwDODunzps5Inhny | 4,247 | The data preview of XGLUE | {
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"\r\n",
"Thanks for reporting @czq1999.\r\n\r\nNote that the dataset viewer uses the dataset in streaming mode and that not all datasets support streaming yet.\r\n\r\nThat is the case for XGLUE dataset (... | 2022-04-28T07:30:50Z | 2022-04-29T08:23:28Z | 2022-04-28T16:08:03Z | {
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https://api.github.com/repos/huggingface/datasets/issues/5837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5837/comments | https://api.github.com/repos/huggingface/datasets/issues/5837/events | https://github.com/huggingface/datasets/issues/5837 | 1,703,019,816 | I_kwDODunzps5lggUo | 5,837 | Use DeepSpeed load myself " .csv " dataset. | {
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"Hi ! Doing `load_dataset(\"path/to/data.csv\")` is not supported yet, but you can do\r\n\r\n```python\r\nds = load_dataset(\"csv\", data_files=[\"path/to/data.csv\"])\r\n```",
"@lhoestq thank you.",
"The other question: \r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n Fil... | 2023-05-10T02:39:28Z | 2023-05-15T03:51:36Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I use DeepSpeed train a model with my own " XXX.csv" dataset I got the follow question:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/fm001/.conda/envs/hzl/lib/python3.8/site-packages/datasets/load.py", line 1767, in load_dataset
builder_instan... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6731/comments | https://api.github.com/repos/huggingface/datasets/issues/6731/events | https://github.com/huggingface/datasets/issues/6731 | 2,182,844,673 | I_kwDODunzps6CG5EB | 6,731 | Unexpected behavior when using load_dataset with streaming=True in a for loop | {
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"This is normal behavior in python when using `lambda`: the `i` defined in your `lambda` refers to the global variable `i` in your loop, and `i` equals to `1` when you run your `for e in res[0]` line.\r\n\r\nYou should pass `fn_kwargs` that will be passed to your `lambda` instead of using the global variable:\r\n\r... | 2024-03-12T23:26:43Z | 2024-04-16T00:00:00Z | 2024-04-16T00:00:00Z | null | NONE | [] | null | null | {
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### My Code
```
from datasets import load_dataset
res=[]
for i in [0,1]:
di=load_dataset(
"json",
data_files='path_to.json',
split='train',
streaming=True,
).map(lambda x: {"source": i})
res.append(di)
for e in res[... | {
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https://api.github.com/repos/huggingface/datasets/issues/4592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4592/comments | https://api.github.com/repos/huggingface/datasets/issues/4592/events | https://github.com/huggingface/datasets/issues/4592 | 1,288,029,377 | I_kwDODunzps5MxcTB | 4,592 | Issue with jalFaizy/detect_chess_pieces when running datasets-cli test | {
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"Hi @faizankshaikh\r\n\r\nPlease note that we have recently launched the Community feature, specifically targeted to create Discussions (about issues/questions/asking-for-help) on each Dataset on the Hub:\r\n- Blog post: https://huggingface.co/blog/community-update\r\n- Docs: https://huggingface.co/docs/hub/reposit... | 2022-06-29T00:15:54Z | 2022-06-29T10:30:03Z | 2022-06-29T07:49:27Z | null | NONE | [] | null | null | {
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} | ### Link
https://huggingface.co/datasets/jalFaizy/detect_chess_pieces
### Description
I am trying to write a appropriate data loader for [a custom dataset](https://huggingface.co/datasets/jalFaizy/detect_chess_pieces) using [this script](https://huggingface.co/datasets/jalFaizy/detect_chess_pieces/blob/main/detect_c... | {
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https://api.github.com/repos/huggingface/datasets/issues/3210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3210/comments | https://api.github.com/repos/huggingface/datasets/issues/3210/events | https://github.com/huggingface/datasets/issues/3210 | 1,044,611,471 | I_kwDODunzps4-Q4GP | 3,210 | ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.15.1/datasets/wmt16/wmt16.py | {
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"Hi ! Do you have some kind of proxy in your browser that gives you access to internet ?\r\n\r\nMaybe you're having this error because you don't have access to this URL from python ?",
"Hi，do you fixed this error?\r\nI still have this issue when use \"use_auth_token=True\"",
"You don't need authentication to ac... | 2021-11-04T10:47:26Z | 2022-03-30T08:26:35Z | 2022-03-30T08:26:35Z | null | NONE | [] | null | null | {
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} | when I use python examples/pytorch/translation/run_translation.py --model_name_or_path examples/pytorch/translation/opus-mt-en-ro --do_train --do_eval --source_lang en --target_lang ro --dataset_name wmt16 --dataset_config_name ro-en --output_dir /tmp/tst-translation --per_device_tra... | {
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https://api.github.com/repos/huggingface/datasets/issues/2494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2494/comments | https://api.github.com/repos/huggingface/datasets/issues/2494/events | https://github.com/huggingface/datasets/issues/2494 | 920,149,183 | MDU6SXNzdWU5MjAxNDkxODM= | 2,494 | Improve docs on Enhancing performance | {
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"Hi @albertvillanova, I hope you are doing well.\r\n\r\nI am interested in this issue, is this still unresolved and open ?\r\n\r\nThe link you have provided in the above message directs to a webpage that does not exist.\r\n\r\nThanks and Regards",
"#self-assign"
] | 2021-06-14T08:11:48Z | 2025-06-28T18:55:38Z | null | null | MEMBER | [] | null | null | {
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} | In the ["Enhancing performance"](https://huggingface.co/docs/datasets/loading_datasets.html#enhancing-performance) section of docs, add specific use cases:
- How to make datasets the fastest
- How to make datasets take the less RAM
- How to make datasets take the less hard drive mem
cc: @thomwolf
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https://api.github.com/repos/huggingface/datasets/issues/4118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4118/comments | https://api.github.com/repos/huggingface/datasets/issues/4118/events | https://github.com/huggingface/datasets/issues/4118 | 1,195,638,944 | I_kwDODunzps5HRACg | 4,118 | Failing CI tests on Windows | {
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} | ## Describe the bug
Our CI Windows tests are failing from yesterday: https://app.circleci.com/pipelines/github/huggingface/datasets/11092/workflows/9cfdb1dd-0fec-4fe0-8122-5f533192ebdc/jobs/67414
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https://api.github.com/repos/huggingface/datasets/issues/728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/728/comments | https://api.github.com/repos/huggingface/datasets/issues/728/events | https://github.com/huggingface/datasets/issues/728 | 719,555,780 | MDU6SXNzdWU3MTk1NTU3ODA= | 728 | Passing `cache_dir` to a metric does not work | {
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} | When passing `cache_dir` to a custom metric, the folder is concatenated to itself at some point and this results in a FileNotFoundError:
## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
def _info(self):
return datasets.MetricInfo(
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https://api.github.com/repos/huggingface/datasets/issues/6791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6791/comments | https://api.github.com/repos/huggingface/datasets/issues/6791/events | https://github.com/huggingface/datasets/issues/6791 | 2,230,102,332 | I_kwDODunzps6E7Kk8 | 6,791 | `add_faiss_index` raises ValueError: not enough values to unpack (expected 2, got 1) | {
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"I realized I was passing a string column to this instead of float. Is it possible to add a warning or error to prevent users from falsely believing there's a bug?",
"Hello!\r\n\r\nI agree that we could add some safeguards around the type of `ds[column]`. At least for FAISS, we need the column to be made of embed... | 2024-04-08T01:57:03Z | 2024-04-11T15:38:05Z | 2024-04-11T15:38:05Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Calling `add_faiss_index` on a `Dataset` with a column argument raises a ValueError. The following is the trace
```python
214 def replacement_add(self, x):
215 """Adds vectors to the index.
216 The index must be trained before vectors can be added to it.
217 Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2096 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2096/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2096/comments | https://api.github.com/repos/huggingface/datasets/issues/2096/events | https://github.com/huggingface/datasets/issues/2096 | 838,038,379 | MDU6SXNzdWU4MzgwMzgzNzk= | 2,096 | CoNLL 2003 dataset not including German | {
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"Hello. I've been looking for information about German Conll2003 and found your question. Official site (https://www.clips.uantwerpen.be/conll2003/ner/) mentions that organizers provide only annotation. German texts (ECI Multilingual Text Corpus) are not freely available and can be ordered from the Linguistic Data ... | 2021-03-22T19:23:56Z | 2023-07-25T16:49:07Z | 2023-07-25T16:49:07Z | null | NONE | [] | null | null | {
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} | Hello, thanks for all the work on developing and maintaining this amazing platform, which I am enjoying working with!
I was wondering if there is a reason why the German CoNLL 2003 dataset is not included in the [repository](https://github.com/huggingface/datasets/tree/master/datasets/conll2003), since a copy of it ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3381/comments | https://api.github.com/repos/huggingface/datasets/issues/3381/events | https://github.com/huggingface/datasets/issues/3381 | 1,071,283,879 | I_kwDODunzps4_2n6n | 3,381 | Unable to load audio_features from common_voice dataset | {
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"Hi ! Feel free to access `batch[\"audio\"][\"array\"]` and `batch[\"audio\"][\"sampling_rate\"]` instead\r\n\r\n`datasets` 1.16 introduced some changes in `common_voice` and now the `path` field is no longer a path to a local file (but rather the path to the file in the archive it's extracted from)",
"Thanks for... | 2021-12-04T19:59:11Z | 2021-12-06T17:52:42Z | 2021-12-06T17:52:42Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I am not able to load audio features from common_voice dataset
## Steps to reproduce the bug
```
from datasets import load_dataset
import torchaudio
test_dataset = load_dataset("common_voice", "hi", split="test[:2%]")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
def spe... | {
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https://api.github.com/repos/huggingface/datasets/issues/5251 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5251/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5251/comments | https://api.github.com/repos/huggingface/datasets/issues/5251/events | https://github.com/huggingface/datasets/issues/5251 | 1,451,761,321 | I_kwDODunzps5WiB6p | 5,251 | Docs are not generated after latest release | {
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"After a discussion with @mishig25:\r\n- He said that this action should be triggered if we call our release branch according to the regex `v*-release`, as transformers does\r\n- I said that our procedure is different: our release branch is *temporary* and it is deleted just after the release PR is merged to main\r... | 2022-11-16T14:59:31Z | 2022-11-22T16:27:50Z | 2022-11-22T16:27:50Z | null | MEMBER | [] | null | null | {
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As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | {
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https://api.github.com/repos/huggingface/datasets/issues/843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/843/comments | https://api.github.com/repos/huggingface/datasets/issues/843/events | https://github.com/huggingface/datasets/issues/843 | 741,531,121 | MDU6SXNzdWU3NDE1MzExMjE= | 843 | use_custom_baseline still produces errors for bertscore | {
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"Thanks for reporting ! That's a bug indeed\r\nIf you want to contribute, feel free to fix this issue and open a PR :)",
"This error is because of a mismatch between `datasets` and `bert_score`. With `datasets=1.1.2` and `bert_score>=0.3.6` it works ok. So `pip install -U bert_score` should fix the problem. ",
... | 2020-11-12T11:44:32Z | 2024-05-28T16:30:17Z | 2021-02-09T14:21:48Z | null | NONE | [] | null | null | {
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} | `metric = load_metric('bertscore')`
`a1 = "random sentences"`
`b1 = "random sentences"`
`metric.compute(predictions = [a1], references = [b1], lang = 'en')`
`Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/stephen_chan/.local/lib/python3.6/site-packages/datasets/metric.py"... | {
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https://api.github.com/repos/huggingface/datasets/issues/2941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2941/comments | https://api.github.com/repos/huggingface/datasets/issues/2941/events | https://github.com/huggingface/datasets/issues/2941 | 1,000,000,711 | I_kwDODunzps47mszH | 2,941 | OSCAR unshuffled_original_ko: NonMatchingSplitsSizesError | {
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{
"color": "d73a4a",
"default": true,
"description": "Something isn't working",
"id": 1935892857,
"name": "bug",
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
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"descrip... | open | false | [] | null | [
"I tried `unshuffled_original_da` and it is also not working"
] | 2021-09-18T10:39:13Z | 2022-01-19T14:10:07Z | null | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
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} | ## Describe the bug
Cannot download OSCAR `unshuffled_original_ko` due to `NonMatchingSplitsSizesError`.
## Steps to reproduce the bug
```python
>>> dataset = datasets.load_dataset('oscar', 'unshuffled_original_ko')
NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=25292102197, num... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1444/comments | https://api.github.com/repos/huggingface/datasets/issues/1444/events | https://github.com/huggingface/datasets/issues/1444 | 761,055,651 | MDU6SXNzdWU3NjEwNTU2NTE= | 1,444 | FileNotFound remotly, can't load a dataset | {
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"This dataset will be available in version-2 of the library. If you want to use this dataset now, install datasets from `master` branch rather.\r\n\r\nCommand to install datasets from `master` branch:\r\n`!pip install git+https://github.com/huggingface/datasets.git@master`",
"Closing this, thanks @VasudevGupta7 "... | 2020-12-10T09:14:47Z | 2020-12-15T17:41:14Z | 2020-12-15T17:41:14Z | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ```py
!pip install datasets
import datasets as ds
corpus = ds.load_dataset('large_spanish_corpus')
```
gives the error
> FileNotFoundError: Couldn't find file locally at large_spanish_corpus/large_spanish_corpus.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/large_spa... | {
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https://api.github.com/repos/huggingface/datasets/issues/4702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4702/comments | https://api.github.com/repos/huggingface/datasets/issues/4702/events | https://github.com/huggingface/datasets/issues/4702 | 1,307,793,811 | I_kwDODunzps5N81mT | 4,702 | Domain specific dataset discovery on the Hugging Face hub | {
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] | open | false | [] | null | [
"Hi! I added a link to this issue in our internal request for adding keywords/topics to the Hub, which is identical to the `topic tags` solution. The `collections` solution seems too complex (as you point out). Regarding the `domain tags` solution, we primarily focus on machine learning, so I'm not sure if it's a g... | 2022-07-18T11:14:03Z | 2024-02-12T09:53:43Z | null | null | MEMBER | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
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} | **Is your feature request related to a problem? Please describe.**
## The problem
The datasets hub currently has `8,239` datasets. These datasets span a wide range of different modalities and tasks (currently with a bias towards textual data).
There are various ways of identifying datasets that may be releva... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5818/comments | https://api.github.com/repos/huggingface/datasets/issues/5818/events | https://github.com/huggingface/datasets/issues/5818 | 1,695,052,555 | I_kwDODunzps5lCHML | 5,818 | Ability to update a dataset | {
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] | open | false | [] | null | [
"This [reply](https://discuss.huggingface.co/t/how-do-i-add-things-rows-to-an-already-saved-dataset/27423) from @mariosasko on the forums may be useful :)",
"In this case, I think we can avoid the `PermissionError` by unpacking the underlying `ConcatenationTable` and saving only the newly added data blocks (in ne... | 2023-05-04T01:08:13Z | 2023-05-04T20:43:39Z | null | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ### Feature request
The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
dataset.sav... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7168/comments | https://api.github.com/repos/huggingface/datasets/issues/7168/events | https://github.com/huggingface/datasets/issues/7168 | 2,546,710,631 | I_kwDODunzps6Xy7hn | 7,168 | sd1.5 diffusers controlnet training script gives new error | {
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"not sure why the issue is formatting oddly",
"I guess this is a dupe of\r\n\r\nhttps://github.com/huggingface/datasets/issues/7071",
"this turned out to be because of a bad image in dataset",
"@Night1099 could you spiecify what exactly was wrong with your image in the dataset? I think im facing the same issu... | 2024-09-25T01:42:49Z | 2025-09-16T15:38:01Z | 2024-09-30T05:24:02Z | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1041, in main
... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/7168/timeline | null | completed | null |
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