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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,905,543,017 | 7,442 | Flexible Loader | open | ### Feature request
Can we have a utility function that will use `load_from_disk` when given the local path and `load_dataset` if given an HF dataset?
It can be something as simple as this one:
```
def load_hf_dataset(path_or_name):
if os.path.exists(path_or_name):
return load_from_disk(path_or_name)
... | true | 2025-03-09T16:55:03Z | 2025-03-27T23:58:17Z | null | dipta007 | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7442 | false | [
"Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?",
"> Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?\n\nThat would be perfect if not at least a flexible loader.",
"@lhoestq For now, you can use this small utility library: [nanoml](https://... |
2,904,702,329 | 7,441 | `drop_last_batch` does not drop the last batch using IterableDataset + interleave_datasets + multi_worker | open | ### Describe the bug
See the script below
`drop_last_batch=True` is defined using map() for each dataset.
The last batch for each dataset is expected to be dropped, id 21-25.
The code behaves as expected when num_workers=0 or 1.
When using num_workers>1, 'a-11', 'b-11', 'a-12', 'b-12' are gone and instead 21 and 22 a... | true | 2025-03-08T10:28:44Z | 2025-03-09T21:27:33Z | null | memray | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7441 | false | [
"Hi @memray, I’d like to help fix the issue with `drop_last_batch` not working when `num_workers > 1`. I’ll investigate and propose a solution. Thanks!\n",
"Thank you very much for offering to help! I also noticed a problem related to a previous issue and left a comment [here](https://github.com/huggingface/datas... |
2,903,740,662 | 7,440 | IterableDataset raises FileNotFoundError instead of retrying | open | ### Describe the bug
In https://github.com/huggingface/datasets/issues/6843 it was noted that the streaming feature of `datasets` is highly susceptible to outages and doesn't back off for long (or even *at all*).
I was training a model while streaming SlimPajama and training crashed with a `FileNotFoundError`. I can ... | true | 2025-03-07T19:14:18Z | 2025-04-17T23:40:35Z | null | bauwenst | NONE | null | null | 6 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7440 | false | [
"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d55119... |
2,900,143,289 | 7,439 | Fix multi gpu process example | closed | to is not an inplace function.
But i am not sure about this code anyway, i think this is modifying the global variable `model` everytime the function is called? Which is on every batch? So it is juggling the same model on every gpu right? Isnt that very inefficient? | true | 2025-03-06T11:29:19Z | 2025-03-06T17:07:28Z | 2025-03-06T17:06:38Z | SwayStar123 | NONE | https://github.com/huggingface/datasets/pull/7439 | null | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7439 | true | [
"Okay nevermind looks like to works both ways for models. but my doubt still remains, isnt this changing the device of the model every batch?"
] |
2,899,209,484 | 7,438 | Allow dataset row indexing with np.int types (#7423) | open | @lhoestq
Proposed fix for #7423. Added a couple simple tests as requested. I had some test failures related to Java and pyspark even when installing with dev but these don't seem to be related to the changes here and fail for me even on clean main.
The typeerror raised when using the wrong type is: "Wrong key type... | true | 2025-03-06T03:10:43Z | 2025-03-06T03:10:43Z | null | DavidRConnell | NONE | https://github.com/huggingface/datasets/pull/7438 | null | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7438 | true | [] |
2,899,104,679 | 7,437 | Use pyupgrade --py39-plus for remaining files | open | This work follows #7428. And "requires-python" is set in pyproject.toml | true | 2025-03-06T02:12:25Z | 2025-04-15T14:47:54Z | null | cyyever | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7437 | null | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7437 | true | [] |
2,898,385,725 | 7,436 | chore: fix typos | closed | true | 2025-03-05T20:17:54Z | 2025-04-28T14:00:09Z | 2025-04-28T13:51:26Z | afuetterer | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7436 | 2025-04-28T13:51:26Z | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7436 | true | [] | |
2,895,536,956 | 7,435 | Refactor `string_to_dict` to return `None` if there is no match instead of raising `ValueError` | closed | Making this change, as encouraged here:
* https://github.com/huggingface/datasets/pull/7434#discussion_r1979933054
instead of having the pattern of using `try`-`except` to handle when there is no match, we can instead check if the return value is `None`; we can also assert that the return value should not be `Non... | true | 2025-03-04T22:01:20Z | 2025-03-12T16:52:00Z | 2025-03-12T16:52:00Z | ringohoffman | NONE | https://github.com/huggingface/datasets/pull/7435 | 2025-03-12T16:51:59Z | 8 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7435 | true | [
"cc: @lhoestq ",
"I am going to rebase #7434 onto this branch. Then we can merge this one first if you approve, and then #7434.",
"@lhoestq any thoughts here?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7435). All of your documentation changes will be reflected on ... |
2,893,075,908 | 7,434 | Refactor `Dataset.map` to reuse cache files mapped with different `num_proc` | closed | Fixes #7433
This refactor unifies `num_proc is None or num_proc == 1` and `num_proc > 1`; instead of handling them completely separately where one uses a list of kwargs and shards and the other just uses a single set of kwargs and `self`, by wrapping the `num_proc == 1` case in a list and making the difference just ... | true | 2025-03-04T06:12:37Z | 2025-05-14T10:45:10Z | 2025-05-12T15:14:08Z | ringohoffman | NONE | https://github.com/huggingface/datasets/pull/7434 | 2025-05-12T15:14:08Z | 10 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7434 | true | [
"@lhoestq please let me know what you think about this.",
"It looks like I can't change the merge target to #7435, so it will look like there is a bunch of extra stuff until #7435 is in main.",
"@lhoestq Thanks so much for reviewing #7435! Now that that's merged, I think this PR is ready!! Can you kick off CI w... |
2,890,240,400 | 7,433 | `Dataset.map` ignores existing caches and remaps when ran with different `num_proc` | closed | ### Describe the bug
If you `map` a dataset and save it to a specific `cache_file_name` with a specific `num_proc`, and then call map again with that same existing `cache_file_name` but a different `num_proc`, the dataset will be re-mapped.
### Steps to reproduce the bug
1. Download a dataset
```python
import datase... | true | 2025-03-03T05:51:26Z | 2025-05-12T15:14:09Z | 2025-05-12T15:14:09Z | ringohoffman | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7433 | false | [
"This feels related: https://github.com/huggingface/datasets/issues/3044",
"@lhoestq This comment specifically, I agree:\n\n* https://github.com/huggingface/datasets/issues/3044#issuecomment-1239877570\n\n> Almost a year later and I'm in a similar boat. Using custom fingerprints and when using multiprocessing the... |
2,887,717,289 | 7,432 | Fix type annotation | closed | true | 2025-02-28T17:28:20Z | 2025-03-04T15:53:03Z | 2025-03-04T15:53:03Z | NeilGirdhar | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7432 | null | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7432 | true | [
"Thanks ! There is https://github.com/huggingface/datasets/pull/7426 already that fixes the issue, I'm closing your PR if you don't mind"
] | |
2,887,244,074 | 7,431 | Issues with large Datasets | open | ### Describe the bug
If the coco annotation file is too large the dataset will not be able to load it, not entirely sure were the issue is but I am guessing it is due to the code trying to load it all as one line into a dataframe. This was for object detections.
My current work around is the following code but would ... | true | 2025-02-28T14:05:22Z | 2025-03-04T15:02:26Z | null | nikitabelooussovbtis | NONE | null | null | 4 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7431 | false | [
"what's the error message ?",
"This was the final error message that it was giving pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0",
"Here is the list of errors:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modul... |
2,886,922,573 | 7,430 | Error in code "Time to slice and dice" from course "NLP Course" | closed | ### Describe the bug
When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be like this
condition | frequency
birth control | 27655
dep... | true | 2025-02-28T11:36:10Z | 2025-03-05T11:32:47Z | 2025-03-03T17:52:15Z | Yurkmez | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7430 | false | [
"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] |
2,886,806,513 | 7,429 | Improved type annotation | open | I've refined several type annotations throughout the codebase to align with current best practices and enhance overall clarity. Given the complexity of the code, there may still be areas that need further attention. I welcome any feedback or suggestions to make these improvements even better.
- Fixes #7202 | true | 2025-02-28T10:39:10Z | 2025-05-15T12:27:17Z | null | saiden89 | NONE | https://github.com/huggingface/datasets/pull/7429 | null | 3 | 2 | 0 | 2 | false | false | [] | https://github.com/huggingface/datasets/pull/7429 | true | [
"@lhoestq Could someone please take a quick look or let me know if there’s anything I should change? Thanks!",
"could you fix the conflicts ? I think some type annotations have been improved since your first commit",
"It should be good now.\r\nI'm happy to add more annotations or refine further if needed—just ... |
2,886,111,651 | 7,428 | Use pyupgrade --py39-plus | closed | true | 2025-02-28T03:39:44Z | 2025-03-22T00:51:20Z | 2025-03-05T15:04:16Z | cyyever | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7428 | 2025-03-05T15:04:16Z | 3 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7428 | true | [
"Hi ! can you run `make style` to fix code formatting ?",
"@lhoestq Fixed",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7428). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,886,032,571 | 7,427 | Error splitting the input into NAL units. | open | ### Describe the bug
I am trying to finetune qwen2.5-vl on 16 * 80G GPUS, and I use `LLaMA-Factory` and set `preprocessing_num_workers=16`. However, I met the following error and the program seem to got crush. It seems that the error come from `datasets` library
The error logging is like following:
```text
Convertin... | true | 2025-02-28T02:30:15Z | 2025-03-04T01:40:28Z | null | MengHao666 | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7427 | false | [
"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommend... |
2,883,754,507 | 7,426 | fix: None default with bool type on load creates typing error | closed | Hello!
Pyright flags any use of `load_dataset` as an error, because the default for `trust_remote_code` is `None`, but the function is typed as `bool`, not `Optional[bool]`. I changed the type and docstrings to reflect this, but no other code was touched. | true | 2025-02-27T08:11:36Z | 2025-03-04T15:53:40Z | 2025-03-04T15:53:40Z | stephantul | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7426 | 2025-03-04T15:53:40Z | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7426 | true | [] |
2,883,684,686 | 7,425 | load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable | open | ### Describe the bug
from datasets import load_dataset
lcb_codegen = load_dataset("livecodebench/code_generation_lite", version_tag="release_v2")
or
configs = get_dataset_config_names("livecodebench/code_generation_lite", trust_remote_code=True)
both error:
Traceback (most recent call last):
File "", line 1, in
File... | true | 2025-02-27T07:36:02Z | 2025-03-27T05:05:33Z | null | dshwei | NONE | null | null | 10 | 1 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7425 | false | [
"> datasets\n\nHi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n\n",
"Hey guys,\nI tried to re... |
2,882,663,621 | 7,424 | Faster folder based builder + parquet support + allow repeated media + use torchvideo | closed | This will be useful for LeRobotDataset (robotics datasets for [lerobot](https://github.com/huggingface/lerobot) based on videos)
Impacted builders:
- ImageFolder
- AudioFolder
- VideoFolder
Improvements:
- faster to stream (got a 5x speed up on an image dataset)
- improved RAM usage
- support for metadata.p... | true | 2025-02-26T19:55:18Z | 2025-03-05T18:51:00Z | 2025-03-05T17:41:23Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7424 | 2025-03-05T17:41:22Z | 1 | 2 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7424 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7424). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,879,271,409 | 7,423 | Row indexing a dataset with numpy integers | open | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | true | 2025-02-25T18:44:45Z | 2025-03-03T17:55:24Z | null | DavidRConnell | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7423 | false | [
"Would be cool to be consistent when it comes to indexing with numpy objects, if we do accept numpy arrays we should indeed accept numpy integers. Your idea sounds reasonable, I'd also be in favor of adding a simple test as well"
] |
2,878,369,052 | 7,421 | DVC integration broken | open | ### Describe the bug
The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | true | 2025-02-25T13:14:31Z | 2025-03-03T17:42:02Z | null | maxstrobel | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7421 | false | [
"Unfortunately `url` is a reserved argument in `fsspec.url_to_fs`, so ideally file system implementations like DVC should use another argument name to avoid this kind of errors"
] |
2,876,281,928 | 7,420 | better correspondence between cached and saved datasets created using from_generator | open | ### Feature request
At the moment `.from_generator` can only create a dataset that lives in the cache. The cached dataset cannot be loaded with `load_from_disk` because the cache folder is missing `state.json`. So the only way to convert this cached dataset to a regular is to use `save_to_disk` which needs to create a... | true | 2025-02-24T22:14:37Z | 2025-02-26T03:10:22Z | null | vttrifonov | CONTRIBUTOR | null | null | 0 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7420 | false | [] |
2,875,635,320 | 7,419 | Import order crashes script execution | open | ### Describe the bug
Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
🙏
... | true | 2025-02-24T17:03:43Z | 2025-02-24T17:03:43Z | null | DamienMatias | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7419 | false | [] |
2,868,701,471 | 7,418 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | open | ### Describe the bug
Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
system_prompt="You are a helpful... | true | 2025-02-21T10:58:06Z | 2025-02-25T15:26:46Z | null | alexxchen | NONE | null | null | 4 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7418 | false | [
"@lhoestq ",
"Can you try passing text: None for the image object ? Pyarrow expects all the objects to have the exact same type, in particular the dicttionaries in \"content\" should all have the keys \"type\" and \"text\"",
"The following modification on system prompt works, but it is different from the usual ... |
2,866,868,922 | 7,417 | set dev version | closed | true | 2025-02-20T17:45:29Z | 2025-02-20T17:47:50Z | 2025-02-20T17:45:36Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7417 | 2025-02-20T17:45:36Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7417 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7417). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,866,862,143 | 7,416 | Release: 3.3.2 | closed | true | 2025-02-20T17:42:11Z | 2025-02-20T17:44:35Z | 2025-02-20T17:43:28Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7416 | 2025-02-20T17:43:28Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7416 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7416). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,865,774,546 | 7,415 | Shard Dataset at specific indices | open | I have a dataset of sequences, where each example in the sequence is a separate row in the dataset (similar to LeRobotDataset). When running `Dataset.save_to_disk` how can I provide indices where it's possible to shard the dataset such that no episode spans more than 1 shard. Consequently, when I run `Dataset.load_from... | true | 2025-02-20T10:43:10Z | 2025-02-24T11:06:45Z | null | nikonikolov | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7415 | false | [
"Hi ! if it's an option I'd suggest to have one sequence per row instead.\n\nOtherwise you'd have to make your own save/load mechanism",
"Saving one sequence per row is very difficult and heavy and makes all the optimizations pointless. How would a custom save/load mechanism look like?",
"You can use `pyarrow` ... |
2,863,798,756 | 7,414 | Gracefully cancel async tasks | closed | true | 2025-02-19T16:10:58Z | 2025-02-20T14:12:26Z | 2025-02-20T14:12:23Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7414 | 2025-02-20T14:12:23Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7414 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7414). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,860,947,582 | 7,413 | Documentation on multiple media files of the same type with WebDataset | open | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | true | 2025-02-18T16:13:20Z | 2025-02-20T14:17:54Z | null | DCNemesis | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7413 | false | [
"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] |
2,859,433,710 | 7,412 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | open | ### Describe the bug
I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
IndexError: Invalid key: 1840208 is out of b... | true | 2025-02-18T05:58:33Z | 2025-02-18T06:42:07Z | null | harshakhmk | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7412 | false | [] |
2,858,993,390 | 7,411 | Attempt to fix multiprocessing hang by closing and joining the pool before termination | closed | https://github.com/huggingface/datasets/issues/6393 has plagued me on and off for a very long time. I have had various workarounds (one time combining two filter calls into one filter call removed the issue, another time making rank 0 go first resolved a cache race condition, one time i think upgrading the version of s... | true | 2025-02-17T23:58:03Z | 2025-02-19T21:11:24Z | 2025-02-19T13:40:32Z | dakinggg | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7411 | 2025-02-19T13:40:32Z | 3 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7411 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7411). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for the fix! We have been affected by this a lot when we try to use LLM Foundry ... |
2,858,085,707 | 7,410 | Set dev version | closed | true | 2025-02-17T14:54:39Z | 2025-02-17T14:56:58Z | 2025-02-17T14:54:56Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7410 | 2025-02-17T14:54:56Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7410 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7410). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,858,079,508 | 7,409 | Release: 3.3.1 | closed | true | 2025-02-17T14:52:12Z | 2025-02-17T14:54:32Z | 2025-02-17T14:53:13Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7409 | 2025-02-17T14:53:13Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7409 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7409). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,858,012,313 | 7,408 | Fix filter speed regression | closed | close https://github.com/huggingface/datasets/issues/7404 | true | 2025-02-17T14:25:32Z | 2025-02-17T14:28:48Z | 2025-02-17T14:28:46Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7408 | 2025-02-17T14:28:46Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7408 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7408). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,856,517,442 | 7,407 | Update use_with_pandas.mdx: to_pandas() correction in last section | closed | last section ``to_pandas()" | true | 2025-02-17T01:53:31Z | 2025-02-20T17:28:04Z | 2025-02-20T17:28:04Z | ibarrien | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7407 | 2025-02-20T17:28:04Z | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7407 | true | [] |
2,856,441,206 | 7,406 | Adding Core Maintainer List to CONTRIBUTING.md | closed | ### Feature request
I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | true | 2025-02-17T00:32:40Z | 2025-03-24T10:57:54Z | 2025-03-24T10:57:54Z | jp1924 | CONTRIBUTOR | null | null | 3 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7406 | false | [
"@lhoestq",
"there is no per-module maintainer and the list is me alone nowadays ^^'",
"@lhoestq \nOh... I feel for you. \nWhat are your criteria for choosing a core maintainer? \nIt seems like it's too much work for you to manage all this code by yourself.\n\nAlso, if you don't mind, can you check this PR for ... |
2,856,372,814 | 7,405 | Lazy loading of environment variables | open | ### Describe the bug
Loading a `.env` file after an `import datasets` call does not correctly use the environment variables.
This is due the fact that environment variables are read at import time:
https://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/config.py#L155C1-L15... | true | 2025-02-16T22:31:41Z | 2025-02-17T15:17:18Z | null | nikvaessen | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7405 | false | [
"Many python packages out there, including `huggingface_hub`, do load the environment variables on import.\nYou should `load_dotenv()` before importing the libraries.\n\nFor example you can move all you imports inside your `main()` function"
] |
2,856,366,207 | 7,404 | Performance regression in `dataset.filter` | closed | ### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | true | 2025-02-16T22:19:14Z | 2025-02-17T17:46:06Z | 2025-02-17T14:28:48Z | ttim | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7404 | false | [
"Thanks for reporting, I'll fix the regression today",
"I just released `datasets` 3.3.1 with a fix, let me know if it's good now :)",
"@lhoestq it fixed the issue.\n\nThis was (very) fast, thank you very much!"
] |
2,855,880,858 | 7,402 | Fix a typo in arrow_dataset.py | closed | "in the feature" should be "in the future" | true | 2025-02-16T04:52:02Z | 2025-02-20T17:29:28Z | 2025-02-20T17:29:28Z | jingedawang | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7402 | 2025-02-20T17:29:28Z | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7402 | true | [] |
2,853,260,869 | 7,401 | set dev version | closed | true | 2025-02-14T10:17:03Z | 2025-02-14T10:19:20Z | 2025-02-14T10:17:13Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7401 | 2025-02-14T10:17:13Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7401 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7401). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,853,098,442 | 7,399 | Synchronize parameters for various datasets | open | ### Describe the bug
[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe... | true | 2025-02-14T09:15:11Z | 2025-02-19T11:50:29Z | null | grofte | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7399 | false | [
"Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anyth... |
2,853,097,869 | 7,398 | Release: 3.3.0 | closed | true | 2025-02-14T09:15:03Z | 2025-02-14T09:57:39Z | 2025-02-14T09:57:37Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7398 | 2025-02-14T09:57:37Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7398 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7398). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,852,829,763 | 7,397 | Kannada dataset(Conversations, Wikipedia etc) | closed | true | 2025-02-14T06:53:03Z | 2025-02-20T17:28:54Z | 2025-02-20T17:28:53Z | Likhith2612 | NONE | https://github.com/huggingface/datasets/pull/7397 | null | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7397 | true | [
"Hi ! feel free to uplad the CSV on https://huggingface.co/datasets :)\r\n\r\nwe don't store the datasets' data in this github repository"
] | |
2,853,201,277 | 7,400 | 504 Gateway Timeout when uploading large dataset to Hugging Face Hub | open | ### Description
I encountered consistent 504 Gateway Timeout errors while attempting to upload a large dataset (approximately 500GB) to the Hugging Face Hub. The upload fails during the process with a Gateway Timeout error.
I will continue trying to upload. While it might succeed in future attempts, I wanted to report... | true | 2025-02-14T02:18:35Z | 2025-02-14T23:48:36Z | null | hotchpotch | NONE | null | null | 4 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7400 | false | [
"I transferred to the `datasets` repository. Is there any retry mechanism in `datasets` @lhoestq ?\n\nAnother solution @hotchpotch if you want to get your dataset pushed to the Hub in a robust way is to save it to a local folder first and then use `huggingface-cli upload-large-folder` (see https://huggingface.co/do... |
2,851,716,755 | 7,396 | Update README.md | closed | true | 2025-02-13T17:44:36Z | 2025-02-13T17:46:57Z | 2025-02-13T17:44:51Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7396 | 2025-02-13T17:44:51Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7396 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7396). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,851,575,160 | 7,395 | Update docs | closed | - update min python version
- replace canonical dataset names with new names
- avoid examples with trust_remote_code | true | 2025-02-13T16:43:15Z | 2025-02-13T17:20:32Z | 2025-02-13T17:20:30Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7395 | 2025-02-13T17:20:29Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7395 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7395). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,847,172,115 | 7,394 | Using load_dataset with data_files and split arguments yields an error | open | ### Describe the bug
It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
Va... | true | 2025-02-12T04:50:11Z | 2025-02-12T04:50:11Z | null | devon-research | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7394 | false | [] |
2,846,446,674 | 7,393 | Optimized sequence encoding for scalars | closed | The change in https://github.com/huggingface/datasets/pull/3197 introduced redundant list-comprehensions when `obj` is a long sequence of scalars. This becomes a noticeable overhead when loading data from an `IterableDataset` in the function `_apply_feature_types_on_example` and can be eliminated by adding a check for ... | true | 2025-02-11T20:30:44Z | 2025-02-13T17:11:33Z | 2025-02-13T17:11:32Z | lukasgd | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7393 | 2025-02-13T17:11:32Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7393 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7393). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,846,095,043 | 7,392 | push_to_hub payload too large error when using large ClassLabel feature | open | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | true | 2025-02-11T17:51:34Z | 2025-02-11T18:01:31Z | null | DavidRConnell | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7392 | false | [
"See also <https://discuss.huggingface.co/t/datasetdict-push-to-hub-failing-with-payload-to-large/140083/8>\n"
] |
2,845,184,764 | 7,391 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | open | pyarrow 尝试了若干个版本都不可以 | true | 2025-02-11T12:02:26Z | 2025-02-11T12:02:26Z | null | LinXin04 | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7391 | false | [] |
2,843,813,365 | 7,390 | Re-add py.typed | open | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | true | 2025-02-10T22:12:52Z | 2025-02-10T22:12:52Z | null | NeilGirdhar | CONTRIBUTOR | null | null | 0 | 7 | 7 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7390 | false | [] |
2,843,592,606 | 7,389 | Getting statistics about filtered examples | closed | @lhoestq wondering if the team has thought about this and if there are any recommendations?
Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | true | 2025-02-10T20:48:29Z | 2025-02-11T20:44:15Z | 2025-02-11T20:44:13Z | jonathanasdf | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7389 | false | [
"You can actually track a running sum in map() or filter() :)\n\n```python\nnum_filtered = 0\n\ndef f(x):\n global num_filtered\n condition = len(x[\"text\"]) < 1000\n if not condition:\n num_filtered += 1\n return condition\n\nds = ds.filter(f)\nprint(num_filtered)\n```\n\nand if you want to use... |
2,843,188,499 | 7,388 | OSError: [Errno 22] Invalid argument forbidden character | closed | ### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | true | 2025-02-10T17:46:31Z | 2025-02-11T13:42:32Z | 2025-02-11T13:42:30Z | langflogit | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7388 | false | [
"You can probably copy the dataset in your HF account and rename the files (without having to download them to your disk). Or alternatively feel free to open a Pull Request to this dataset with the renamed file",
"Thank you, that will help me work around this problem"
] |
2,841,228,048 | 7,387 | Dynamic adjusting dataloader sampling weight | open | Hi,
Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | true | 2025-02-10T03:18:47Z | 2025-03-07T14:06:54Z | null | whc688 | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7387 | false | [
"You mean based on a condition that has to be checked on-the-fly during training ? Otherwise if you know in advance after how many samples you need to change the sampling you can simply concatenate the two mixes",
"Yes, like during training, if one data sample's prediction is consistently wrong, its sampling weig... |
2,840,032,524 | 7,386 | Add bookfolder Dataset Builder for Digital Book Formats | closed | ### Feature request
This feature proposes adding a new dataset builder called bookfolder to the datasets library. This builder would allow users to easily load datasets consisting of various digital book formats, including: AZW, AZW3, CB7, CBR, CBT, CBZ, EPUB, MOBI, and PDF.
### Motivation
Currently, loading dataset... | true | 2025-02-08T14:27:55Z | 2025-02-08T14:30:10Z | 2025-02-08T14:30:09Z | shikanime | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7386 | false | [
"On second thought, probably not a good idea."
] |
2,830,664,522 | 7,385 | Make IterableDataset (optionally) resumable | open | ### What does this PR do?
This PR introduces a new `stateful` option to the `dataset.shuffle` method, which defaults to `False`.
When enabled, this option allows for resumable shuffling of `IterableDataset` instances, albeit with some additional memory overhead.
Key points:
* All tests have passed
* Docstrings ... | true | 2025-02-04T15:55:33Z | 2025-03-03T17:31:40Z | null | yzhangcs | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7385 | null | 2 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7385 | true | [
"@lhoestq Hi again~ Just circling back on this\r\nWondering if there’s anything I can do to help move this forward. 🤗 \r\nThanks!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7385). All of your documentation changes will be reflected on that endpoint. The docs are avai... |
2,828,208,828 | 7,384 | Support async functions in map() | closed | e.g. to download images or call an inference API like HF or vLLM
```python
import asyncio
import random
from datasets import Dataset
async def f(x):
await asyncio.sleep(random.random())
ds = Dataset.from_dict({"data": range(100)})
ds.map(f)
# Map: 100%|█████████████████████████████| 100/100 [00:0... | true | 2025-02-03T18:18:40Z | 2025-02-13T14:01:13Z | 2025-02-13T14:00:06Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7384 | 2025-02-13T14:00:06Z | 2 | 3 | 0 | 3 | false | false | [] | https://github.com/huggingface/datasets/pull/7384 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7384). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"example of what you can do with it:\r\n\r\n```python\r\nimport aiohttp\r\nfrom huggingf... |
2,823,480,924 | 7,382 | Add Pandas, PyArrow and Polars docs | closed | (also added the missing numpy docs and fixed a small bug in pyarrow formatting) | true | 2025-01-31T13:22:59Z | 2025-01-31T16:30:59Z | 2025-01-31T16:30:57Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7382 | 2025-01-31T16:30:57Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7382 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7382). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,815,649,092 | 7,381 | Iterating over values of a column in the IterableDataset | closed | ### Feature request
I would like to be able to iterate (and re-iterate if needed) over a column of an `IterableDataset` instance. The following example shows the supposed API:
```python
def gen():
yield {"text": "Good", "label": 0}
yield {"text": "Bad", "label": 1}
ds = IterableDataset.from_generator(gen)
tex... | true | 2025-01-28T13:17:36Z | 2025-05-22T18:00:04Z | 2025-05-22T18:00:04Z | TopCoder2K | CONTRIBUTOR | null | null | 11 | 1 | 1 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7381 | false | [
"I'd be in favor of that ! I saw many people implementing their own iterables that wrap a dataset just to iterate on a single column, that would make things more practical.\n\nKinda related: https://github.com/huggingface/datasets/issues/5847",
"(For anyone's information, I'm going on vacation for the next 3 week... |
2,811,566,116 | 7,380 | fix: dill default for version bigger 0.3.8 | closed | Fixes def log for dill version >= 0.3.9
https://pypi.org/project/dill/
This project uses dill with the release of version 0.3.9 the datasets lib. | true | 2025-01-26T13:37:16Z | 2025-03-13T20:40:19Z | 2025-03-13T20:40:19Z | sam-hey | NONE | https://github.com/huggingface/datasets/pull/7380 | null | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7380 | true | [
"`datasets` doesn't support `dill` 0.3.9 yet afaik since `dill` made some changes related to the determinism of dumps\r\n\r\nIt would be cool to investigate (maybe run the `datasets` test) with recent `dill` to see excactly what breaks and if we can make `dill` 0.3.9 work with `datasets`"
] |
2,802,957,388 | 7,378 | Allow pushing config version to hub | open | ### Feature request
Currently, when datasets are created, they can be versioned by passing the `version` argument to `load_dataset(...)`. For example creating `outcomes.csv` on the command line
```
echo "id,value\n1,0\n2,0\n3,1\n4,1\n" > outcomes.csv
```
and creating it
```
import datasets
dataset = datasets.load_dat... | true | 2025-01-21T22:35:07Z | 2025-01-30T13:56:56Z | null | momeara | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7378 | false | [
"Hi ! This sounds reasonable to me, feel free to open a PR :)"
] |
2,802,723,285 | 7,377 | Support for sparse arrays with the Arrow Sparse Tensor format? | open | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | true | 2025-01-21T20:14:35Z | 2025-01-30T14:06:45Z | null | JulesGM | NONE | null | null | 1 | 4 | 2 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7377 | false | [
"Hi ! Unfortunately the Sparse Tensor structure in Arrow is not part of the Arrow format (yes it's confusing...), so it's not possible to use it in `datasets`. It's a separate structure that doesn't correspond to any type or extension type in Arrow.\n\nThe Arrow community recently added an extension type for fixed ... |
2,802,621,104 | 7,376 | [docs] uv install | closed | Proposes adding uv to installation docs (see Slack thread [here](https://huggingface.slack.com/archives/C01N44FJDHT/p1737377177709279) for more context) if you're interested! | true | 2025-01-21T19:15:48Z | 2025-03-14T20:16:35Z | 2025-03-14T20:16:35Z | stevhliu | MEMBER | https://github.com/huggingface/datasets/pull/7376 | null | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7376 | true | [] |
2,800,609,218 | 7,375 | vllm批量推理报错 | open | ### Describe the bug
### Steps to reproduce the bug
### Expected behavior
![Image](https://github.com/user-attachments/assets/77d32936-... | true | 2025-01-21T03:22:23Z | 2025-01-30T14:02:40Z | null | YuShengzuishuai | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7375 | false | [
"Make sure you have installed a recent version of `soundfile`"
] |
2,793,442,320 | 7,374 | Remove .h5 from imagefolder extensions | closed | the format is not relevant for imagefolder, and makes the viewer fail to process datasets on HF (so many that the viewer takes more time to process new datasets) | true | 2025-01-16T18:17:24Z | 2025-01-16T18:26:40Z | 2025-01-16T18:26:38Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7374 | 2025-01-16T18:26:38Z | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7374 | true | [] |
2,793,237,139 | 7,373 | Excessive RAM Usage After Dataset Concatenation concatenate_datasets | open | ### Describe the bug
When loading a dataset from disk, concatenating it, and starting the training process, the RAM usage progressively increases until the kernel terminates the process due to excessive memory consumption.
https://github.com/huggingface/datasets/issues/2276
### Steps to reproduce the bug
```python
... | true | 2025-01-16T16:33:10Z | 2025-03-27T17:40:59Z | null | sam-hey | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7373 | false | [
"\n\n\n\nAdding a img from memray\nhttps://gist.github.com/sam-hey/00c958f13fb0f7b54d17197fe353002f",
"I'm having the same issue where c... |
2,791,760,968 | 7,372 | Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets | open | ### 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... | true | 2025-01-16T05:47:20Z | 2025-01-16T05:47:20Z | null | gaohongkui | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7372 | false | [] |
2,790,549,889 | 7,371 | 500 Server error with pushing a dataset | open | ### Describe the bug
Suddenly, I started getting this error message saying it was an internal error.
`Error creating/pushing dataset: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/ll4ma-lab/grasp-dataset/commit/main (Request ID: Root=1-6787f0b7-66d5bd45413e481c4c2fb22d;670d04ff-... | true | 2025-01-15T18:23:02Z | 2025-01-15T20:06:05Z | null | martinmatak | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7371 | false | [
"EDIT: seems to be all good now. I'll add a comment if the error happens again within the next 48 hours. If it doesn't, I'll just close the topic."
] |
2,787,972,786 | 7,370 | Support faster processing using pandas or polars functions in `IterableDataset.map()` | closed | Following the polars integration :)
Allow super fast processing using pandas or polars functions in `IterableDataset.map()` by adding support to pandas and polars formatting in `IterableDataset`
```python
import polars as pl
from datasets import Dataset
ds = Dataset.from_dict({"i": range(10)}).to_iterable_da... | true | 2025-01-14T18:14:13Z | 2025-01-31T11:08:15Z | 2025-01-30T13:30:57Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7370 | 2025-01-30T13:30:57Z | 2 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7370 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7370). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"merging this and will make some docs and communications around using polars for optimiz... |
2,787,193,238 | 7,369 | Importing dataset gives unhelpful error message when filenames in metadata.csv are not found in the directory | open | ### Describe the bug
While importing an audiofolder dataset, where the names of the audiofiles don't correspond to the filenames in the metadata.csv, we get an unclear error message that is not helpful for the debugging, i.e.
```
ValueError: Instruction "train" corresponds to no data!
```
### Steps to reproduce the ... | true | 2025-01-14T13:53:21Z | 2025-01-14T15:05:51Z | null | svencornetsdegroot | NONE | null | null | 1 | 1 | 1 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7369 | false | [
"I'd prefer even more verbose errors; like `\"file123.mp3\" is referenced in metadata.csv, but not found in the data directory '/path/to/audiofolder' ! (and 100+ more missing files)` Or something along those lines."
] |
2,784,272,477 | 7,368 | Add with_split to DatasetDict.map | closed | #7356 | true | 2025-01-13T15:09:56Z | 2025-03-08T05:45:02Z | 2025-03-07T14:09:52Z | jp1924 | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7368 | 2025-03-07T14:09:52Z | 9 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7368 | true | [
"Can you check this out, @lhoestq?",
"cc @lhoestq @albertvillanova ",
"@lhoestq\r\n",
"@lhoestq\r\n",
"@lhoestq",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7368). All of your documentation changes will be reflected on that endpoint. The docs are available until... |
2,781,522,894 | 7,366 | Dataset.from_dict() can't handle large dict | open | ### Describe the bug
I have 26,000,000 3-tuples. When I use Dataset.from_dict() to load, neither. py nor Jupiter notebook can run successfully. This is my code:
```
# len(example_data) is 26,000,000, 'diff' is a text
diff1_list = [example_data[i].texts[0] for i in range(len(example_data))]
diff2_list =... | true | 2025-01-11T02:05:21Z | 2025-01-11T02:05:21Z | null | CSU-OSS | NONE | null | null | 0 | 1 | 1 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7366 | false | [] |
2,780,216,199 | 7,365 | A parameter is specified but not used in datasets.arrow_dataset.Dataset.from_pandas() | open | ### Describe the bug
I am interested in creating train, test and eval splits from a pandas Dataframe, therefore I was looking at the possibilities I can follow. I noticed the split parameter and was hopeful to use it in order to generate the 3 at once, however, while trying to understand the code, i noticed that it ha... | true | 2025-01-10T13:39:33Z | 2025-01-10T13:39:33Z | null | NourOM02 | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7365 | false | [] |
2,776,929,268 | 7,364 | API endpoints for gated dataset access requests | closed | ### Feature request
I would like a programatic way of requesting access to gated datasets. The current solution to gain access forces me to visit a website and physically click an "agreement" button (as per the [documentation](https://huggingface.co/docs/hub/en/datasets-gated#access-gated-datasets-as-a-user)).
An i... | true | 2025-01-09T06:21:20Z | 2025-01-09T11:17:40Z | 2025-01-09T11:17:20Z | jerome-white | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7364 | false | [
"Looks like a [similar feature request](https://github.com/huggingface/huggingface_hub/issues/1198) was made to the HF Hub team. Is handling this at the Hub level more appropriate?\r\n\r\n(As an aside, I've gotten the [HTTP-based solution](https://github.com/huggingface/huggingface_hub/issues/1198#issuecomment-1905... |
2,774,090,012 | 7,363 | ImportError: To support decoding images, please install 'Pillow'. | open | ### Describe the bug
Following this tutorial locally using a macboko and VSCode: https://huggingface.co/docs/diffusers/en/tutorials/basic_training
This line of code: for i, image in enumerate(dataset[:4]["image"]):
throws: ImportError: To support decoding images, please install 'Pillow'.
Pillow is installed.
###... | true | 2025-01-08T02:22:57Z | 2025-05-28T14:56:53Z | null | jamessdixon | NONE | null | null | 4 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7363 | false | [
"what's your `pip show Pillow` output",
"same issue.. my pip show Pillow output as below:\n\n```\nName: pillow\nVersion: 11.1.0\nSummary: Python Imaging Library (Fork)\nHome-page: https://python-pillow.github.io/\nAuthor: \nAuthor-email: \"Jeffrey A. Clark\" <aclark@aclark.net>\nLicense: MIT-CMU\nLocation: [/opt/... |
2,773,731,829 | 7,362 | HuggingFace CLI dataset download raises error | closed | ### Describe the bug
Trying to download Hugging Face datasets using Hugging Face CLI raises error. This error only started after December 27th, 2024. For example:
```
huggingface-cli download --repo-type dataset gboleda/wikicorpus
Traceback (most recent call last):
File "/home/ubuntu/test_venv/bin/huggingface... | true | 2025-01-07T21:03:30Z | 2025-01-08T15:00:37Z | 2025-01-08T14:35:52Z | ajayvohra2005 | NONE | null | null | 3 | 3 | 3 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7362 | false | [
"I got the same error and was able to resolve it by upgrading from 2.15.0 to 3.2.0.",
"> I got the same error and was able to resolve it by upgrading from 2.15.0 to 3.2.0.\r\n\r\nWhat is needed is upgrading `huggingface-hub==0.27.1`. `datasets` does not appear to have anything to do with the error. The upgrade is... |
2,771,859,244 | 7,361 | Fix lock permission | open | All files except lock file have proper permission obeying `ACL` property if it is set.
If the cache directory has `ACL` property, it should be respected instead of just using `umask` for permission.
To fix it, just create a lock file and pass the created `mode`.
By creating a lock file with `touch()` before `Fil... | true | 2025-01-07T04:15:53Z | 2025-01-07T04:49:46Z | null | cih9088 | NONE | https://github.com/huggingface/datasets/pull/7361 | null | 0 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7361 | true | [] |
2,771,751,406 | 7,360 | error when loading dataset in Hugging Face: NoneType error is not callable | open | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | true | 2025-01-07T02:11:36Z | 2025-02-24T13:32:52Z | null | nanu23333 | NONE | null | null | 5 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7360 | false | [
"Hi ! I couldn't reproduce on my side, can you try deleting your cache at `~/.cache/huggingface/modules/datasets_modules/datasets/InstaDeepAI--nucleotide_transformer_downstream_tasks_revised` and try again ? For some reason `datasets` wasn't able to find the DatasetBuilder class in the python script of this dataset... |
2,771,137,842 | 7,359 | There are multiple 'mteb/arguana' configurations in the cache: default, corpus, queries with HF_HUB_OFFLINE=1 | open | ### Describe the bug
Hey folks,
I am trying to run this code -
```python
from datasets import load_dataset, get_dataset_config_names
ds = load_dataset("mteb/arguana")
```
with HF_HUB_OFFLINE=1
But I get the following error -
```python
Using the latest cached version of the dataset since mteb/arguana... | true | 2025-01-06T17:42:49Z | 2025-01-06T17:43:31Z | null | Bhavya6187 | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7359 | false | [
"Related to https://github.com/embeddings-benchmark/mteb/issues/1714"
] |
2,770,927,769 | 7,358 | Fix remove_columns in the formatted case | open | `remove_columns` had no effect when running a function in `.map()` on dataset that is formatted
This aligns the logic of `map()` with the non formatted case and also with with https://github.com/huggingface/datasets/pull/7353 | true | 2025-01-06T15:44:23Z | 2025-01-06T15:46:46Z | null | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7358 | null | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7358 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7358). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,770,456,127 | 7,357 | Python process aborded with GIL issue when using image dataset | open | ### Describe the bug
The issue is visible only with the latest `datasets==3.2.0`.
When using image dataset the Python process gets aborted right before the exit with the following error:
```
Fatal Python error: PyGILState_Release: thread state 0x7fa1f409ade0 must be current when releasing
Python runtime state: f... | true | 2025-01-06T11:29:30Z | 2025-03-08T15:59:36Z | null | AlexKoff88 | NONE | null | null | 1 | 3 | 3 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7357 | false | [
"The issue seems to come from `pyarrow`, I opened an issue on their side at https://github.com/apache/arrow/issues/45214"
] |
2,770,095,103 | 7,356 | How about adding a feature to pass the key when performing map on DatasetDict? | closed | ### Feature request
Add a feature to pass the key of the DatasetDict when performing map
### Motivation
I often preprocess using map on DatasetDict.
Sometimes, I need to preprocess train and valid data differently depending on the task.
So, I thought it would be nice to pass the key (like train, valid) when perf... | true | 2025-01-06T08:13:52Z | 2025-03-24T10:57:47Z | 2025-03-24T10:57:47Z | jp1924 | CONTRIBUTOR | null | null | 6 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7356 | false | [
"@lhoestq \r\nIf it's okay with you, can I work on this?",
"Hi ! Can you give an example of what it would look like to use this new feature ?\r\n\r\nNote that currently you can already do\r\n\r\n```python\r\nds[\"train\"] = ds[\"train\"].map(process_train)\r\nds[\"test\"] = ds[\"test\"].map(process_test)\r\n```",... |
2,768,958,211 | 7,355 | Not available datasets[audio] on python 3.13 | open | ### Describe the bug
This is the error I got, it seems numba package does not support python 3.13
PS C:\Users\sergi\Documents> pip install datasets[audio]
Defaulting to user installation because normal site-packages is not writeable
Collecting datasets[audio]
Using cached datasets-3.2.0-py3-none-any.whl.metada... | true | 2025-01-04T18:37:08Z | 2025-01-10T10:46:00Z | null | sergiosinlimites | NONE | null | null | 1 | 1 | 1 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7355 | false | [
"It looks like an issue with `numba` which can't be installed on 3.13 ? `numba` is a dependency of `librosa`, used to decode audio files"
] |
2,768,955,917 | 7,354 | A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. | closed | ### Describe the bug
Following this tutorial: https://huggingface.co/docs/diffusers/en/tutorials/basic_training and running it locally using VSCode on my MacBook. The first line in the tutorial fails: from datasets import load_dataset
dataset = load_dataset('huggan/smithsonian_butterflies_subset', split="train"). w... | true | 2025-01-04T18:30:17Z | 2025-01-08T02:20:58Z | 2025-01-08T02:20:58Z | jamessdixon | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7354 | false | [
"recreated .venv and run this: pip install diffusers[training]==0.11.1"
] |
2,768,484,726 | 7,353 | changes to MappedExamplesIterable to resolve #7345 | closed | modified `MappedExamplesIterable` and `test_iterable_dataset.py::test_mapped_examples_iterable_with_indices`
fix #7345
@lhoestq | true | 2025-01-04T06:01:15Z | 2025-01-07T11:56:41Z | 2025-01-07T11:56:41Z | vttrifonov | CONTRIBUTOR | https://github.com/huggingface/datasets/pull/7353 | 2025-01-07T11:56:41Z | 2 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7353 | true | [
"I noticed that `Dataset.map` has a more complex output depending on `remove_columns`. In particular [this](https://github.com/huggingface/datasets/blob/6457be66e2ef88411281eddc4e7698866a3977f1/src/datasets/arrow_dataset.py#L3371) line removes columns from output if the input is being modified in place (i.e. `input... |
2,767,763,850 | 7,352 | fsspec 2024.12.0 | closed | true | 2025-01-03T15:32:25Z | 2025-01-03T15:34:54Z | 2025-01-03T15:34:11Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7352 | 2025-01-03T15:34:11Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7352 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7352). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,767,731,707 | 7,350 | Bump hfh to 0.24 to fix ci | closed | true | 2025-01-03T15:09:40Z | 2025-01-03T15:12:17Z | 2025-01-03T15:10:27Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7350 | 2025-01-03T15:10:27Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7350 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7350). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,767,670,454 | 7,349 | Webdataset special columns in last position | closed | Place columns "__key__" and "__url__" in last position in the Dataset Viewer since they are not the main content
before:
<img width="1012" alt="image" src="https://github.com/user-attachments/assets/b556c1fe-2674-4ba0-9643-c074aa9716fd" /> | true | 2025-01-03T14:32:15Z | 2025-01-03T14:34:39Z | 2025-01-03T14:32:30Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7349 | 2025-01-03T14:32:30Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7349 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7349). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,766,128,230 | 7,348 | Catch OSError for arrow | closed | fixes https://github.com/huggingface/datasets/issues/7346
(also updated `ruff` and appleid style changes) | true | 2025-01-02T14:30:00Z | 2025-01-09T14:25:06Z | 2025-01-09T14:25:04Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7348 | 2025-01-09T14:25:04Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7348 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7348). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,760,282,339 | 7,347 | Converting Arrow to WebDataset TAR Format for Offline Use | closed | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | true | 2024-12-27T01:40:44Z | 2024-12-31T17:38:00Z | 2024-12-28T15:38:03Z | katie312 | NONE | null | null | 4 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7347 | false | [
"Hi,\r\n\r\nI've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:\r\n\r\nimport json\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"pixparse/cc3m-wds\")\r\ndataset.save_to_disk(\"./cc3m_1\")\r\n\r\n\r\nnow I need to convert it to WebDataset's TAR form... |
2,758,752,118 | 7,346 | OSError: Invalid flatbuffers message. | closed | ### Describe the bug
When loading a large 2D data (1000 × 1152) with a large number of (2,000 data in this case) in `load_dataset`, the error message `OSError: Invalid flatbuffers message` is reported.
When only 300 pieces of data of this size (1000 × 1152) are stored, they can be loaded correctly.
When 2,00... | true | 2024-12-25T11:38:52Z | 2025-01-09T14:25:29Z | 2025-01-09T14:25:05Z | antecede | NONE | null | null | 3 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7346 | false | [
"Thanks for reporting, it looks like an issue with `pyarrow.ipc.open_stream`\r\n\r\nCan you try installing `datasets` from this pull request and see if it helps ? https://github.com/huggingface/datasets/pull/7348",
"> Thanks for reporting, it looks like an issue with `pyarrow.ipc.open_stream`\r\n> \r\n> Can you t... |
2,758,585,709 | 7,345 | Different behaviour of IterableDataset.map vs Dataset.map with remove_columns | closed | ### Describe the bug
The following code
```python
import datasets as hf
ds1 = hf.Dataset.from_list([{'i': i} for i in [0,1]])
#ds1 = ds1.to_iterable_dataset()
ds2 = ds1.map(
lambda i: {'i': i+1},
input_columns = ['i'],
remove_columns = ['i']
)
list(ds2)
```
produces
```python
[{'i': ... | true | 2024-12-25T07:36:48Z | 2025-01-07T11:56:42Z | 2025-01-07T11:56:42Z | vttrifonov | CONTRIBUTOR | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7345 | false | [
"Good catch ! Do you think you can open a PR to fix this issue ?"
] |
2,754,735,951 | 7,344 | HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access SlimPajama-627B or c4 on TPUs | closed | ### Describe the bug
I am trying to run some trainings on Google's TPUs using Huggingface's DataLoader on [SlimPajama-627B](https://huggingface.co/datasets/cerebras/SlimPajama-627B) and [c4](https://huggingface.co/datasets/allenai/c4), but I end up running into `429 Client Error: Too Many Requests for URL` error when ... | true | 2024-12-22T16:30:07Z | 2025-01-15T05:32:00Z | 2025-01-15T05:31:58Z | clankur | NONE | null | null | 2 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7344 | false | [
"Hi ! This is due to your old version of `datasets` which calls HF with `expand=True`, an option that is strongly rate limited.\r\n\r\nRecent versions of `datasets` don't rely on this anymore, you can fix your issue by upgrading `datasets` :)\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\nYou can also get maxi... |
2,750,525,823 | 7,343 | [Bug] Inconsistent behavior of data_files and data_dir in load_dataset method. | closed | ### Describe the bug
Inconsistent operation of data_files and data_dir in load_dataset method.
### Steps to reproduce the bug
# First
I have three files, named 'train.json', 'val.json', 'test.json'.
Each one has a simple dict `{text:'aaa'}`.
Their path are `/data/train.json`, `/data/val.json`, `/data/test.jso... | true | 2024-12-19T14:31:27Z | 2025-01-03T15:54:09Z | 2025-01-03T15:54:09Z | JasonCZH4 | NONE | null | null | 4 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7343 | false | [
"Hi ! `data_files` with a list is equivalent to `data_files={\"train\": data_files}` with a train test only.\r\n\r\nWhen no split are specified, they are inferred based on file names, and files with no apparent split are ignored",
"Thanks for your reply!\r\n`files with no apparent split are ignored`. Is there a o... |
2,749,572,310 | 7,342 | Update LICENSE | closed | true | 2024-12-19T08:17:50Z | 2024-12-19T08:44:08Z | 2024-12-19T08:44:08Z | eliebak | NONE | https://github.com/huggingface/datasets/pull/7342 | null | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7342 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7342). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,745,658,561 | 7,341 | minor video docs on how to install | closed | true | 2024-12-17T18:06:17Z | 2024-12-17T18:11:17Z | 2024-12-17T18:11:15Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7341 | 2024-12-17T18:11:14Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7341 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7341). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,745,473,274 | 7,340 | don't import soundfile in tests | closed | true | 2024-12-17T16:49:55Z | 2024-12-17T16:54:04Z | 2024-12-17T16:50:24Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7340 | 2024-12-17T16:50:24Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7340 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7340). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,745,460,060 | 7,339 | Update CONTRIBUTING.md | closed | true | 2024-12-17T16:45:25Z | 2024-12-17T16:51:36Z | 2024-12-17T16:46:30Z | lhoestq | MEMBER | https://github.com/huggingface/datasets/pull/7339 | 2024-12-17T16:46:30Z | 1 | 0 | 0 | 0 | false | false | [] | https://github.com/huggingface/datasets/pull/7339 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7339). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | |
2,744,877,569 | 7,337 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory of | open | ### Describe the bug
ImageFolder with metadata.jsonl error. I downloaded liuhaotian/LLaVA-CC3M-Pretrain-595K locally from Hugging Face. According to the tutorial in https://huggingface.co/docs/datasets/image_dataset#image-captioning, only put images.zip and metadata.jsonl containing information in the same folder. How... | true | 2024-12-17T12:58:43Z | 2025-01-03T15:28:13Z | null | mst272 | NONE | null | null | 1 | 0 | 0 | 0 | null | false | [] | https://github.com/huggingface/datasets/issues/7337 | false | [
"Hmmm I double checked in the source code and I found a contradiction: in the current implementation the metadata file is ignored if it's not in the same archive as the zip image somehow:\r\n\r\nhttps://github.com/huggingface/datasets/blob/caa705e8bf4bedf1a956f48b545283b2ca14170a/src/datasets/packaged_modules/folde... |
2,744,746,456 | 7,336 | Clarify documentation or Create DatasetCard | open | ### Feature request
I noticed that you can use a Model Card instead of a Dataset Card when pushing a dataset to the Hub, but this isn’t clearly mentioned in [the docs.](https://huggingface.co/docs/datasets/dataset_card)
- Update the docs to clarify that a Model Card can work for datasets too.
- It might be worth c... | true | 2024-12-17T12:01:00Z | 2024-12-17T12:01:00Z | null | August-murr | NONE | null | null | 0 | 0 | 0 | 0 | null | false | [
"enhancement"
] | https://github.com/huggingface/datasets/issues/7336 | false | [] |
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