id int64 599M 3.29B | url stringlengths 58 61 | html_url stringlengths 46 51 | number int64 1 7.72k | title stringlengths 1 290 | state stringclasses 2
values | comments int64 0 70 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-08-05 09:28:51 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-08-05 11:39:56 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-08-01 05:15:45 ⌀ | user_login stringlengths 3 26 | labels listlengths 0 4 | body stringlengths 0 228k ⌀ | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,292,315,241 | https://api.github.com/repos/huggingface/datasets/issues/7724 | https://github.com/huggingface/datasets/issues/7724 | 7,724 | Can not stepinto load_dataset.py? | open | 0 | 2025-08-05T09:28:51 | 2025-08-05T09:28:51 | null | micklexqg | [] | I set a breakpoint in "load_dataset.py" and try to debug my data load codes, but it does not stop at any breakpoints, so "load_dataset.py" can not be stepped into ?
<!-- Failed to upload "截图 2025-08-05 17-25-18.png" --> | false |
3,289,943,261 | https://api.github.com/repos/huggingface/datasets/issues/7723 | https://github.com/huggingface/datasets/issues/7723 | 7,723 | Don't remove `trust_remote_code` arg!!! | open | 0 | 2025-08-04T15:42:07 | 2025-08-04T15:42:07 | null | autosquid | [
"enhancement"
] | ### Feature request
defaulting it to False is nice balance. we need manully setting it to True in certain scenarios!
Add `trust_remote_code` arg back please!
### Motivation
defaulting it to False is nice balance. we need manully setting it to True in certain scenarios!
### Your contribution
defaulting it to Fals... | false |
3,289,741,064 | https://api.github.com/repos/huggingface/datasets/issues/7722 | https://github.com/huggingface/datasets/issues/7722 | 7,722 | Out of memory even though using load_dataset(..., streaming=True) | open | 0 | 2025-08-04T14:41:55 | 2025-08-04T14:41:55 | null | padmalcom | [] | ### 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... | false |
3,289,426,104 | https://api.github.com/repos/huggingface/datasets/issues/7721 | https://github.com/huggingface/datasets/issues/7721 | 7,721 | Bad split error message when using percentages | open | 0 | 2025-08-04T13:20:25 | 2025-08-04T14:48:09 | null | padmalcom | [] | ### Describe the bug
Hi, I'm trying to download a dataset. To not load the entire dataset in memory, I split it as described [here](https://huggingface.co/docs/datasets/v4.0.0/loading#slice-splits) in 10% steps.
When doing so, the library returns this error:
raise ValueError(f"Bad split: {split}. Available splits... | false |
3,287,150,513 | https://api.github.com/repos/huggingface/datasets/issues/7720 | https://github.com/huggingface/datasets/issues/7720 | 7,720 | Datasets 4.0 map function causing column not found | open | 0 | 2025-08-03T12:52:34 | 2025-08-03T12:52:34 | null | Darejkal | [] | ### Describe the bug
Column returned after mapping is not found in new instance of the dataset.
### Steps to reproduce the bug
Code for reproduction. After running get_total_audio_length, it is errored out due to `data` not having `duration`
```
def compute_duration(x):
return {"duration": len(x["audio"]["array"... | false |
3,285,928,491 | https://api.github.com/repos/huggingface/datasets/issues/7719 | https://github.com/huggingface/datasets/issues/7719 | 7,719 | Specify dataset columns types in typehint | open | 0 | 2025-08-02T13:22:31 | 2025-08-02T13:22:31 | null | Samoed | [
"enhancement"
] | ### Feature request
Make dataset optionaly generic to datasets usage with type annotations like it was done in `torch.Dataloader` https://github.com/pytorch/pytorch/blob/134179474539648ba7dee1317959529fbd0e7f89/torch/utils/data/dataloader.py#L131
### Motivation
In MTEB we're using a lot of datasets objects, but they... | false |
3,284,221,177 | https://api.github.com/repos/huggingface/datasets/issues/7718 | https://github.com/huggingface/datasets/pull/7718 | 7,718 | add support for pyarrow string view in features | open | 0 | 2025-08-01T14:58:39 | 2025-08-01T15:00:45 | null | onursatici | [] | null | true |
3,282,855,127 | https://api.github.com/repos/huggingface/datasets/issues/7717 | https://github.com/huggingface/datasets/issues/7717 | 7,717 | Cached dataset is not used when explicitly passing the cache_dir parameter | open | 0 | 2025-08-01T07:12:41 | 2025-08-01T07:12:41 | null | padmalcom | [] | ### Describe the bug
Hi, we are pre-downloading a dataset using snapshot_download(). When loading this exact dataset with load_dataset() the cached snapshot is not used. In both calls, I provide the cache_dir parameter.
### Steps to reproduce the bug
```
from datasets import load_dataset, concatenate_datasets
from h... | false |
3,281,204,362 | https://api.github.com/repos/huggingface/datasets/issues/7716 | https://github.com/huggingface/datasets/pull/7716 | 7,716 | typo | closed | 1 | 2025-07-31T17:14:45 | 2025-07-31T17:17:15 | 2025-07-31T17:14:51 | lhoestq | [] | null | true |
3,281,189,955 | https://api.github.com/repos/huggingface/datasets/issues/7715 | https://github.com/huggingface/datasets/pull/7715 | 7,715 | Docs: Use Image(mode="F") for PNG/JPEG depth maps | closed | 1 | 2025-07-31T17:09:49 | 2025-07-31T17:12:23 | 2025-07-31T17:10:10 | lhoestq | [] | null | true |
3,281,090,499 | https://api.github.com/repos/huggingface/datasets/issues/7714 | https://github.com/huggingface/datasets/pull/7714 | 7,714 | fix num_proc=1 ci test | closed | 1 | 2025-07-31T16:36:32 | 2025-07-31T16:39:03 | 2025-07-31T16:38:03 | lhoestq | [] | null | true |
3,280,813,699 | https://api.github.com/repos/huggingface/datasets/issues/7713 | https://github.com/huggingface/datasets/pull/7713 | 7,713 | Update cli.mdx to refer to the new "hf" CLI | closed | 1 | 2025-07-31T15:06:11 | 2025-07-31T16:37:56 | 2025-07-31T16:37:55 | evalstate | [] | Update to refer to `hf auth login` | true |
3,280,706,762 | https://api.github.com/repos/huggingface/datasets/issues/7712 | https://github.com/huggingface/datasets/pull/7712 | 7,712 | Retry intermediate commits too | closed | 1 | 2025-07-31T14:33:33 | 2025-07-31T14:37:43 | 2025-07-31T14:36:43 | lhoestq | [] | null | true |
3,280,471,353 | https://api.github.com/repos/huggingface/datasets/issues/7711 | https://github.com/huggingface/datasets/pull/7711 | 7,711 | Update dataset_dict push_to_hub | closed | 1 | 2025-07-31T13:25:03 | 2025-07-31T14:18:55 | 2025-07-31T14:18:53 | lhoestq | [] | following https://github.com/huggingface/datasets/pull/7708 | true |
3,279,878,230 | https://api.github.com/repos/huggingface/datasets/issues/7710 | https://github.com/huggingface/datasets/pull/7710 | 7,710 | Concurrent IterableDataset push_to_hub | closed | 1 | 2025-07-31T10:11:31 | 2025-07-31T10:14:00 | 2025-07-31T10:12:52 | lhoestq | [] | Same as https://github.com/huggingface/datasets/pull/7708 but for `IterableDataset` | true |
3,276,677,990 | https://api.github.com/repos/huggingface/datasets/issues/7709 | https://github.com/huggingface/datasets/issues/7709 | 7,709 | Release 4.0.0 breaks usage patterns of with_format | open | 1 | 2025-07-30T11:34:53 | 2025-07-30T15:41:59 | null | wittenator | [] | ### Describe the bug
Previously it was possible to access a whole column that was e.g. in numpy format via `with_format` by indexing the column. Now this possibility seems to be gone with the new Column() class. As far as I see, this makes working on a whole column (in-memory) more complex, i.e. normalizing an in-memo... | false |
3,273,614,584 | https://api.github.com/repos/huggingface/datasets/issues/7708 | https://github.com/huggingface/datasets/pull/7708 | 7,708 | Concurrent push_to_hub | closed | 1 | 2025-07-29T13:14:30 | 2025-07-31T10:00:50 | 2025-07-31T10:00:49 | lhoestq | [] | Retry the step that (download + update + upload) the README.md using `create_commit(..., parent_commit=...)` if there was a commit in the meantime. This should enable concurrent `push_to_hub()` since it won't overwrite the README.md metadata anymore.
Note: we fixed an issue server side to make this work:
<details... | true |
3,271,867,998 | https://api.github.com/repos/huggingface/datasets/issues/7707 | https://github.com/huggingface/datasets/issues/7707 | 7,707 | load_dataset() in 4.0.0 failed when decoding audio | closed | 9 | 2025-07-29T03:25:03 | 2025-08-01T05:15:45 | 2025-08-01T05:15:45 | jiqing-feng | [] | ### Describe the bug
Cannot decode audio data.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("hf-internal-testing/librispeech_asr_demo", "clean", split="validation")
print(dataset[0]["audio"]["array"])
```
1st round run, got
```
File "/usr/local/lib/python3.1... | false |
3,271,129,240 | https://api.github.com/repos/huggingface/datasets/issues/7706 | https://github.com/huggingface/datasets/pull/7706 | 7,706 | Reimplemented partial split download support (revival of #6832) | open | 1 | 2025-07-28T19:40:40 | 2025-07-29T09:25:12 | null | ArjunJagdale | [] | (revival of #6832)
https://github.com/huggingface/datasets/pull/7648#issuecomment-3084050130
Close https://github.com/huggingface/datasets/issues/4101, and more
---
### PR under work!!!!
| true |
3,269,070,499 | https://api.github.com/repos/huggingface/datasets/issues/7705 | https://github.com/huggingface/datasets/issues/7705 | 7,705 | Can Not read installed dataset in dataset.load(.) | open | 3 | 2025-07-28T09:43:54 | 2025-08-05T01:24:32 | null | HuangChiEn | [] | Hi, folks, I'm newbie in huggingface dataset api.
As title, i'm facing the issue that the dataset.load api can not connect to the installed dataset.
code snippet :
<img width="572" height="253" alt="Image" src="https://github.com/user-attachments/assets/10f48aaf-d6ca-4239-b1cf-145d74f125d1" />
data path :
"/xxx/jose... | false |
3,265,730,177 | https://api.github.com/repos/huggingface/datasets/issues/7704 | https://github.com/huggingface/datasets/pull/7704 | 7,704 | Fix map() example in datasets documentation: define tokenizer before use | open | 1 | 2025-07-26T14:18:17 | 2025-08-01T13:48:35 | null | Sanjaykumar030 | [] | ## Problem
The current datasets.Dataset.map() example in the documentation demonstrates batched processing using a tokenizer object without defining or importing it. This causes a NameError when users copy and run the example as-is, breaking the expected seamless experience.
## Correction
This PR fixes the issue b... | true |
3,265,648,942 | https://api.github.com/repos/huggingface/datasets/issues/7703 | https://github.com/huggingface/datasets/issues/7703 | 7,703 | [Docs] map() example uses undefined `tokenizer` — causes NameError | open | 1 | 2025-07-26T13:35:11 | 2025-07-27T09:44:35 | null | Sanjaykumar030 | [] | ## Description
The current documentation example for `datasets.Dataset.map()` demonstrates batched processing but uses a `tokenizer` object without defining or importing it. This causes an error every time it's copied.
Here is the problematic line:
```python
# process a batch of examples
>>> ds = ds.map(lambda examp... | false |
3,265,328,549 | https://api.github.com/repos/huggingface/datasets/issues/7702 | https://github.com/huggingface/datasets/pull/7702 | 7,702 | num_proc=0 behave like None, num_proc=1 uses one worker (not main process) and clarify num_proc documentation | closed | 3 | 2025-07-26T08:19:39 | 2025-07-31T14:52:33 | 2025-07-31T14:52:33 | tanuj-rai | [] | Fixes issue #7700
This PR makes num_proc=0 behave like None in Dataset.map(), disabling multiprocessing.
It improves UX by aligning with DataLoader(num_workers=0) behavior.
The num_proc docstring is also updated to clearly explain valid values and behavior.
@SunMarc
| true |
3,265,236,296 | https://api.github.com/repos/huggingface/datasets/issues/7701 | https://github.com/huggingface/datasets/pull/7701 | 7,701 | Update fsspec max version to current release 2025.7.0 | closed | 2 | 2025-07-26T06:47:59 | 2025-07-28T11:58:11 | 2025-07-28T11:58:11 | rootAvish | [] | Diffusers currently asks for a max fsspec version of `2025.3.0`. This change updates it to the current latest version. This change is mainly required to resolve conflicts with other packages in an environment. In my particular case, `aider-chat` which is a part of my environment installs `2025.5.1` which is incompatibl... | true |
3,263,922,255 | https://api.github.com/repos/huggingface/datasets/issues/7700 | https://github.com/huggingface/datasets/issues/7700 | 7,700 | [doc] map.num_proc needs clarification | open | 0 | 2025-07-25T17:35:09 | 2025-07-25T17:39:36 | null | sfc-gh-sbekman | [] | https://huggingface.co/docs/datasets/v4.0.0/en/package_reference/main_classes#datasets.Dataset.map.num_proc
```
num_proc (int, optional, defaults to None) — Max number of processes when generating cache. Already cached
shards are loaded sequentially.
```
for batch:
```
num_proc (int, optional, defaults to None): The n... | false |
3,261,053,171 | https://api.github.com/repos/huggingface/datasets/issues/7699 | https://github.com/huggingface/datasets/issues/7699 | 7,699 | Broken link in documentation for "Create a video dataset" | open | 1 | 2025-07-24T19:46:28 | 2025-07-25T15:27:47 | null | cleong110 | [] | The link to "the [WebDataset documentation](https://webdataset.github.io/webdataset)." is broken.
https://huggingface.co/docs/datasets/main/en/video_dataset#webdataset
<img width="2048" height="264" alt="Image" src="https://github.com/user-attachments/assets/975dd10c-aad8-42fc-9fbc-de0e2747a326" /> | false |
3,255,350,916 | https://api.github.com/repos/huggingface/datasets/issues/7698 | https://github.com/huggingface/datasets/issues/7698 | 7,698 | NotImplementedError when using streaming=True in Google Colab environment | open | 2 | 2025-07-23T08:04:53 | 2025-07-23T15:06:23 | null | Aniket17200 | [] | ### Describe the bug
When attempting to load a large dataset (like tiiuae/falcon-refinedweb or allenai/c4) using streaming=True in a standard Google Colab notebook, the process fails with a NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet. This issue persists even after... | false |
3,254,526,399 | https://api.github.com/repos/huggingface/datasets/issues/7697 | https://github.com/huggingface/datasets/issues/7697 | 7,697 | - | closed | 0 | 2025-07-23T01:30:32 | 2025-07-25T15:21:39 | 2025-07-25T15:21:39 | kakamond | [] | - | false |
3,253,433,350 | https://api.github.com/repos/huggingface/datasets/issues/7696 | https://github.com/huggingface/datasets/issues/7696 | 7,696 | load_dataset() in 4.0.0 returns different audio samples compared to earlier versions breaking reproducibility | closed | 2 | 2025-07-22T17:02:17 | 2025-07-30T14:22:21 | 2025-07-30T14:22:21 | Manalelaidouni | [] | ### Describe the bug
In datasets 4.0.0 release, `load_dataset()` returns different audio samples compared to earlier versions, this breaks integration tests that depend on consistent sample data across different environments (first and second envs specified below).
### Steps to reproduce the bug
```python
from dat... | false |
3,251,904,843 | https://api.github.com/repos/huggingface/datasets/issues/7695 | https://github.com/huggingface/datasets/pull/7695 | 7,695 | Support downloading specific splits in load_dataset | closed | 4 | 2025-07-22T09:33:54 | 2025-07-28T17:33:30 | 2025-07-28T17:15:45 | ArjunJagdale | [] | This PR builds on #6832 by @mariosasko.
May close - #4101, #2538
Discussion - https://github.com/huggingface/datasets/pull/7648#issuecomment-3084050130
---
### Note - This PR is under work and frequent changes will be pushed. | true |
3,247,600,408 | https://api.github.com/repos/huggingface/datasets/issues/7694 | https://github.com/huggingface/datasets/issues/7694 | 7,694 | Dataset.to_json consumes excessive memory, appears to not be a streaming operation | open | 1 | 2025-07-21T07:51:25 | 2025-07-25T14:42:21 | null | ycq0125 | [] | ### Describe the bug
When exporting a Dataset object to a JSON Lines file using the .to_json(lines=True) method, the process consumes a very large amount of memory. The memory usage is proportional to the size of the entire Dataset object being saved, rather than being a low, constant memory operation.
This behavior ... | false |
3,246,369,678 | https://api.github.com/repos/huggingface/datasets/issues/7693 | https://github.com/huggingface/datasets/issues/7693 | 7,693 | Dataset scripts are no longer supported, but found superb.py | open | 8 | 2025-07-20T13:48:06 | 2025-07-30T15:01:03 | null | edwinzajac | [] | ### Describe the bug
Hello,
I'm trying to follow the [Hugging Face Pipelines tutorial](https://huggingface.co/docs/transformers/main_classes/pipelines) but the tutorial seems to work only on old datasets versions.
I then get the error :
```
--------------------------------------------------------------------------
... | false |
3,246,268,635 | https://api.github.com/repos/huggingface/datasets/issues/7692 | https://github.com/huggingface/datasets/issues/7692 | 7,692 | xopen: invalid start byte for streaming dataset with trust_remote_code=True | open | 1 | 2025-07-20T11:08:20 | 2025-07-25T14:38:54 | null | sedol1339 | [] | ### Describe the bug
I am trying to load YODAS2 dataset with datasets==3.6.0
```
from datasets import load_dataset
next(iter(load_dataset('espnet/yodas2', name='ru000', split='train', streaming=True, trust_remote_code=True)))
```
And get `UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa8 in position 1: invalid ... | false |
3,245,547,170 | https://api.github.com/repos/huggingface/datasets/issues/7691 | https://github.com/huggingface/datasets/issues/7691 | 7,691 | Large WebDataset: pyarrow.lib.ArrowCapacityError on load() even with streaming | open | 5 | 2025-07-19T18:40:27 | 2025-07-25T08:51:10 | null | cleong110 | [] | ### Describe the bug
I am creating a large WebDataset-format dataset for sign language processing research, and a number of the videos are over 2GB. The instant I hit one of the shards with one of those videos, I get a ArrowCapacityError, even with streaming.
I made a config for the dataset that specifically inclu... | false |
3,244,380,691 | https://api.github.com/repos/huggingface/datasets/issues/7690 | https://github.com/huggingface/datasets/pull/7690 | 7,690 | HDF5 support | open | 2 | 2025-07-18T21:09:41 | 2025-07-28T21:32:12 | null | klamike | [] | This PR adds support for tabular HDF5 file(s) by converting each row to an Arrow table. It supports columns with the usual dtypes including up to 5-dimensional arrays as well as support for complex/compound types by splitting them into several columns. All datasets within the HDF5 file should have rows on the first dim... | true |
3,242,580,301 | https://api.github.com/repos/huggingface/datasets/issues/7689 | https://github.com/huggingface/datasets/issues/7689 | 7,689 | BadRequestError for loading dataset? | closed | 17 | 2025-07-18T09:30:04 | 2025-07-18T11:59:51 | 2025-07-18T11:52:29 | WPoelman | [] | ### Describe the bug
Up until a couple days ago I was having no issues loading `Helsinki-NLP/europarl` and `Helsinki-NLP/un_pc`, but now suddenly I get the following error:
```
huggingface_hub.errors.BadRequestError: (Request ID: ...)
Bad request:
* Invalid input: expected array, received string * at paths * Invalid... | false |
3,238,851,443 | https://api.github.com/repos/huggingface/datasets/issues/7688 | https://github.com/huggingface/datasets/issues/7688 | 7,688 | No module named "distributed" | open | 3 | 2025-07-17T09:32:35 | 2025-07-25T15:14:19 | null | yingtongxiong | [] | ### Describe the bug
hello, when I run the command "from datasets.distributed import split_dataset_by_node", I always met the bug "No module named 'datasets.distributed" in different version like 4.0.0, 2.21.0 and so on. How can I solve this?
### Steps to reproduce the bug
1. pip install datasets
2. from datasets.di... | false |
3,238,760,301 | https://api.github.com/repos/huggingface/datasets/issues/7687 | https://github.com/huggingface/datasets/issues/7687 | 7,687 | Datasets keeps rebuilding the dataset every time i call the python script | open | 1 | 2025-07-17T09:03:38 | 2025-07-25T15:21:31 | null | CALEB789 | [] | ### Describe the bug
Every time it runs, somehow, samples increase.
This can cause a 12mb dataset to have other built versions of 400 mbs+
<img width="363" height="481" alt="Image" src="https://github.com/user-attachments/assets/766ce958-bd2b-41bc-b950-86710259bfdc" />
### Steps to reproduce the bug
`from datasets... | false |
3,237,201,090 | https://api.github.com/repos/huggingface/datasets/issues/7686 | https://github.com/huggingface/datasets/issues/7686 | 7,686 | load_dataset does not check .no_exist files in the hub cache | open | 0 | 2025-07-16T20:04:00 | 2025-07-16T20:04:00 | null | jmaccarl | [] | ### Describe the bug
I'm not entirely sure if this should be submitted as a bug in the `datasets` library or the `huggingface_hub` library, given it could be fixed at different levels of the stack.
The fundamental issue is that the `load_datasets` api doesn't use the `.no_exist` files in the hub cache unlike other wr... | false |
3,236,979,340 | https://api.github.com/repos/huggingface/datasets/issues/7685 | https://github.com/huggingface/datasets/issues/7685 | 7,685 | Inconsistent range request behavior for parquet REST api | open | 3 | 2025-07-16T18:39:44 | 2025-07-25T16:09:50 | null | universalmind303 | [] | ### Describe the bug
First off, I do apologize if this is not the correct repo for submitting this issue. Please direct me to another one if it's more appropriate elsewhere.
The datasets rest api is inconsistently giving `416 Range Not Satisfiable` when using a range request to get portions of the parquet files. Mor... | false |
3,231,680,474 | https://api.github.com/repos/huggingface/datasets/issues/7684 | https://github.com/huggingface/datasets/pull/7684 | 7,684 | fix audio cast storage from array + sampling_rate | closed | 1 | 2025-07-15T10:13:42 | 2025-07-15T10:24:08 | 2025-07-15T10:24:07 | lhoestq | [] | fix https://github.com/huggingface/datasets/issues/7682 | true |
3,231,553,161 | https://api.github.com/repos/huggingface/datasets/issues/7683 | https://github.com/huggingface/datasets/pull/7683 | 7,683 | Convert to string when needed + faster .zstd | closed | 1 | 2025-07-15T09:37:44 | 2025-07-15T10:13:58 | 2025-07-15T10:13:56 | lhoestq | [] | for https://huggingface.co/datasets/allenai/olmo-mix-1124 | true |
3,229,687,253 | https://api.github.com/repos/huggingface/datasets/issues/7682 | https://github.com/huggingface/datasets/issues/7682 | 7,682 | Fail to cast Audio feature for numpy arrays in datasets 4.0.0 | closed | 2 | 2025-07-14T18:41:02 | 2025-07-15T12:10:39 | 2025-07-15T10:24:08 | luatil-cloud | [] | ### 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 ... | false |
3,227,112,736 | https://api.github.com/repos/huggingface/datasets/issues/7681 | https://github.com/huggingface/datasets/issues/7681 | 7,681 | Probabilistic High Memory Usage and Freeze on Python 3.10 | open | 0 | 2025-07-14T01:57:16 | 2025-07-14T01:57:16 | null | ryan-minato | [] | ### Describe the bug
A probabilistic issue encountered when processing datasets containing PIL.Image columns using the huggingface/datasets library on Python 3.10. The process occasionally experiences a sudden and significant memory spike, reaching 100% utilization, leading to a complete freeze. During this freeze, th... | false |
3,224,824,151 | https://api.github.com/repos/huggingface/datasets/issues/7680 | https://github.com/huggingface/datasets/issues/7680 | 7,680 | Question about iterable dataset and streaming | open | 8 | 2025-07-12T04:48:30 | 2025-08-01T13:01:48 | null | Tavish9 | [] | In the doc, I found the following example: https://github.com/huggingface/datasets/blob/611f5a592359ebac6f858f515c776aa7d99838b2/docs/source/stream.mdx?plain=1#L65-L78
I am confused,
1. If we have already loaded the dataset, why doing `to_iterable_dataset`? Does it go through the dataset faster than map-style datase... | false |
3,220,787,371 | https://api.github.com/repos/huggingface/datasets/issues/7679 | https://github.com/huggingface/datasets/issues/7679 | 7,679 | metric glue breaks with 4.0.0 | closed | 2 | 2025-07-10T21:39:50 | 2025-07-11T17:42:01 | 2025-07-11T17:42:01 | stas00 | [] | ### Describe the bug
worked fine with 3.6.0, and with 4.0.0 `eval_metric = metric.compute()` in HF Accelerate breaks.
The code that fails is:
https://huggingface.co/spaces/evaluate-metric/glue/blob/v0.4.0/glue.py#L84
```
def simple_accuracy(preds, labels):
print(preds, labels)
print(f"{preds==labels}")
r... | false |
3,218,625,544 | https://api.github.com/repos/huggingface/datasets/issues/7678 | https://github.com/huggingface/datasets/issues/7678 | 7,678 | To support decoding audio data, please install 'torchcodec'. | closed | 2 | 2025-07-10T09:43:13 | 2025-07-22T03:46:52 | 2025-07-11T05:05:42 | alpcansoydas | [] |
In the latest version of datasets==4.0.0, i cannot print the audio data on the Colab notebook. But it works on the 3.6.0 version.
!pip install -q -U datasets huggingface_hub fsspec
from datasets import load_dataset
downloaded_dataset = load_dataset("ymoslem/MediaSpeech", "tr", split="train")
print(downloaded_datase... | false |
3,218,044,656 | https://api.github.com/repos/huggingface/datasets/issues/7677 | https://github.com/huggingface/datasets/issues/7677 | 7,677 | Toxicity fails with datasets 4.0.0 | closed | 2 | 2025-07-10T06:15:22 | 2025-07-11T04:40:59 | 2025-07-11T04:40:59 | serena-ruan | [] | ### Describe the bug
With the latest 4.0.0 release, huggingface toxicity evaluation module fails with error: `ValueError: text input must be of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).`
### Steps to reproduce the bug
Repro:... | false |
3,216,857,559 | https://api.github.com/repos/huggingface/datasets/issues/7676 | https://github.com/huggingface/datasets/issues/7676 | 7,676 | Many things broken since the new 4.0.0 release | open | 13 | 2025-07-09T18:59:50 | 2025-07-21T10:38:01 | null | mobicham | [] | ### Describe the bug
The new changes in 4.0.0 are breaking many datasets, including those from lm-evaluation-harness.
I am trying to revert back to older versions, like 3.6.0 to make the eval work but I keep getting:
``` Python
File /venv/main/lib/python3.12/site-packages/datasets/features/features.py:1474, in genera... | false |
3,216,699,094 | https://api.github.com/repos/huggingface/datasets/issues/7675 | https://github.com/huggingface/datasets/issues/7675 | 7,675 | common_voice_11_0.py failure in dataset library | open | 5 | 2025-07-09T17:47:59 | 2025-07-22T09:35:42 | null | egegurel | [] | ### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
---------------------------------------------------------------------------
RuntimeError Tr... | false |
3,216,251,069 | https://api.github.com/repos/huggingface/datasets/issues/7674 | https://github.com/huggingface/datasets/pull/7674 | 7,674 | set dev version | closed | 1 | 2025-07-09T15:01:25 | 2025-07-09T15:04:01 | 2025-07-09T15:01:33 | lhoestq | [] | null | true |
3,216,075,633 | https://api.github.com/repos/huggingface/datasets/issues/7673 | https://github.com/huggingface/datasets/pull/7673 | 7,673 | Release: 4.0.0 | closed | 1 | 2025-07-09T14:03:16 | 2025-07-09T14:36:19 | 2025-07-09T14:36:18 | lhoestq | [] | null | true |
3,215,287,164 | https://api.github.com/repos/huggingface/datasets/issues/7672 | https://github.com/huggingface/datasets/pull/7672 | 7,672 | Fix double sequence | closed | 1 | 2025-07-09T09:53:39 | 2025-07-09T09:56:29 | 2025-07-09T09:56:28 | lhoestq | [] | ```python
>>> Features({"a": Sequence(Sequence({"c": Value("int64")}))})
{'a': List({'c': List(Value('int64'))})}
```
instead of `{'a': {'c': List(List(Value('int64')))}}` | true |
3,213,223,886 | https://api.github.com/repos/huggingface/datasets/issues/7671 | https://github.com/huggingface/datasets/issues/7671 | 7,671 | Mapping function not working if the first example is returned as None | closed | 2 | 2025-07-08T17:07:47 | 2025-07-09T12:30:32 | 2025-07-09T12:30:32 | dnaihao | [] | ### Describe the bug
https://github.com/huggingface/datasets/blob/8a19de052e3d79f79cea26821454bbcf0e9dcd68/src/datasets/arrow_dataset.py#L3652C29-L3652C37
Here we can see the writer is initialized on `i==0`. However, there can be cases where in the user mapping function, the first example is filtered out (length cons... | false |
3,208,962,372 | https://api.github.com/repos/huggingface/datasets/issues/7670 | https://github.com/huggingface/datasets/pull/7670 | 7,670 | Fix audio bytes | closed | 1 | 2025-07-07T13:05:15 | 2025-07-07T13:07:47 | 2025-07-07T13:05:33 | lhoestq | [] | null | true |
3,203,541,091 | https://api.github.com/repos/huggingface/datasets/issues/7669 | https://github.com/huggingface/datasets/issues/7669 | 7,669 | How can I add my custom data to huggingface datasets | open | 1 | 2025-07-04T19:19:54 | 2025-07-05T18:19:37 | null | xiagod | [] | I want to add my custom dataset in huggingface dataset. Please guide me how to achieve that. | false |
3,199,039,322 | https://api.github.com/repos/huggingface/datasets/issues/7668 | https://github.com/huggingface/datasets/issues/7668 | 7,668 | Broken EXIF crash the whole program | open | 1 | 2025-07-03T11:24:15 | 2025-07-03T12:27:16 | null | Seas0 | [] | ### Describe the bug
When parsing this image in the ImageNet1K dataset, the `datasets` crashs whole training process just because unable to parse an invalid EXIF tag.
### Steps to reproduce the bug
Use the `datasets.Image.decod... | false |
3,196,251,707 | https://api.github.com/repos/huggingface/datasets/issues/7667 | https://github.com/huggingface/datasets/pull/7667 | 7,667 | Fix infer list of images | closed | 1 | 2025-07-02T15:07:58 | 2025-07-02T15:10:28 | 2025-07-02T15:08:03 | lhoestq | [] | cc @kashif | true |
3,196,220,722 | https://api.github.com/repos/huggingface/datasets/issues/7666 | https://github.com/huggingface/datasets/pull/7666 | 7,666 | Backward compat list feature | closed | 1 | 2025-07-02T14:58:00 | 2025-07-02T15:00:37 | 2025-07-02T14:59:40 | lhoestq | [] | cc @kashif | true |
3,193,239,955 | https://api.github.com/repos/huggingface/datasets/issues/7665 | https://github.com/huggingface/datasets/issues/7665 | 7,665 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | closed | 1 | 2025-07-01T17:14:53 | 2025-07-01T17:17:48 | 2025-07-01T17:17:48 | zdzichukowalski | [] | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | false |
3,193,239,035 | https://api.github.com/repos/huggingface/datasets/issues/7664 | https://github.com/huggingface/datasets/issues/7664 | 7,664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | open | 6 | 2025-07-01T17:14:32 | 2025-07-09T13:14:11 | null | zdzichukowalski | [] | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | false |
3,192,582,371 | https://api.github.com/repos/huggingface/datasets/issues/7663 | https://github.com/huggingface/datasets/pull/7663 | 7,663 | Custom metadata filenames | closed | 1 | 2025-07-01T13:50:36 | 2025-07-01T13:58:41 | 2025-07-01T13:58:39 | lhoestq | [] | example: https://huggingface.co/datasets/lhoestq/overlapping-subsets-imagefolder/tree/main
To make multiple subsets for an imagefolder (one metadata file per subset), e.g.
```yaml
configs:
- config_name: default
metadata_filenames:
- metadata.csv
- config_name: other
metadata_filenames:
... | true |
3,190,805,531 | https://api.github.com/repos/huggingface/datasets/issues/7662 | https://github.com/huggingface/datasets/issues/7662 | 7,662 | Applying map after transform with multiprocessing will cause OOM | open | 5 | 2025-07-01T05:45:57 | 2025-07-10T06:17:40 | null | JunjieLl | [] | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | false |
3,190,408,237 | https://api.github.com/repos/huggingface/datasets/issues/7661 | https://github.com/huggingface/datasets/pull/7661 | 7,661 | fix del tqdm lock error | open | 0 | 2025-07-01T02:04:02 | 2025-07-08T01:38:46 | null | Hypothesis-Z | [] | fixes https://github.com/huggingface/datasets/issues/7660 | true |
3,189,028,251 | https://api.github.com/repos/huggingface/datasets/issues/7660 | https://github.com/huggingface/datasets/issues/7660 | 7,660 | AttributeError: type object 'tqdm' has no attribute '_lock' | open | 2 | 2025-06-30T15:57:16 | 2025-07-03T15:14:27 | null | Hypothesis-Z | [] | ### Describe the bug
`AttributeError: type object 'tqdm' has no attribute '_lock'`
It occurs when I'm trying to load datasets in thread pool.
Issue https://github.com/huggingface/datasets/issues/6066 and PR https://github.com/huggingface/datasets/pull/6067 https://github.com/huggingface/datasets/pull/6068 tried to f... | false |
3,187,882,217 | https://api.github.com/repos/huggingface/datasets/issues/7659 | https://github.com/huggingface/datasets/pull/7659 | 7,659 | Update the beans dataset link in Preprocess | closed | 0 | 2025-06-30T09:58:44 | 2025-07-07T08:38:19 | 2025-07-01T14:01:42 | HJassar | [] | In the Preprocess tutorial, the to "the beans dataset" is incorrect. Fixed. | true |
3,187,800,504 | https://api.github.com/repos/huggingface/datasets/issues/7658 | https://github.com/huggingface/datasets/pull/7658 | 7,658 | Fix: Prevent loss of info.features and column_names in IterableDatasetDict.map when features is None | closed | 5 | 2025-06-30T09:31:12 | 2025-07-01T16:26:30 | 2025-07-01T16:26:12 | ArjunJagdale | [] | This PR fixes a bug where calling `IterableDatasetDict.map()` or `IterableDataset.map()` with the default `features=None` argument would overwrite the existing `info.features` attribute with `None`. This, in turn, caused the resulting dataset to lose its schema, breaking downstream usage of attributes like `column_name... | true |
3,186,036,016 | https://api.github.com/repos/huggingface/datasets/issues/7657 | https://github.com/huggingface/datasets/pull/7657 | 7,657 | feat: add subset_name as alias for name in load_dataset | open | 0 | 2025-06-29T10:39:00 | 2025-07-18T17:45:41 | null | ArjunJagdale | [] | fixes #7637
This PR introduces subset_name as a user-facing alias for the name (previously `config_name`) argument in load_dataset. It aligns terminology with the Hugging Face Hub UI (which shows “Subset”), reducing confusion for new users.
Supports `subset_name` in `load_dataset()`
Adds `.subset_name` propert... | true |
3,185,865,686 | https://api.github.com/repos/huggingface/datasets/issues/7656 | https://github.com/huggingface/datasets/pull/7656 | 7,656 | fix(iterable): ensure MappedExamplesIterable supports state_dict for resume | open | 0 | 2025-06-29T07:50:13 | 2025-06-29T07:50:13 | null | ArjunJagdale | [] | Fixes #7630
### Problem
When calling `.map()` on an `IterableDataset`, resuming from a checkpoint skips a large number of samples. This is because `MappedExamplesIterable` did not implement `state_dict()` or `load_state_dict()`, so checkpointing was not properly delegated to the underlying iterable.
### What Thi... | true |
3,185,382,105 | https://api.github.com/repos/huggingface/datasets/issues/7655 | https://github.com/huggingface/datasets/pull/7655 | 7,655 | Added specific use cases in Improve Performace | open | 0 | 2025-06-28T19:00:32 | 2025-06-28T19:00:32 | null | ArjunJagdale | [] | Fixes #2494 | true |
3,184,770,992 | https://api.github.com/repos/huggingface/datasets/issues/7654 | https://github.com/huggingface/datasets/pull/7654 | 7,654 | fix(load): strip deprecated use_auth_token from config_kwargs | open | 0 | 2025-06-28T09:20:21 | 2025-06-28T09:20:21 | null | ArjunJagdale | [] | Fixes #7504
This PR resolves a compatibility error when loading datasets via `load_dataset()` using outdated arguments like `use_auth_token`.
**What was happening:**
Users passing `use_auth_token` in `load_dataset(..., use_auth_token=...)` encountered a `ValueError`: BuilderConfig ParquetConfig(...) doesn't have... | true |
3,184,746,093 | https://api.github.com/repos/huggingface/datasets/issues/7653 | https://github.com/huggingface/datasets/pull/7653 | 7,653 | feat(load): fallback to `load_from_disk()` when loading a saved dataset directory | open | 0 | 2025-06-28T08:47:36 | 2025-06-28T08:47:36 | null | ArjunJagdale | [] | ### Related Issue
Fixes #7503
Partially addresses #5044 by allowing `load_dataset()` to auto-detect and gracefully delegate to `load_from_disk()` for locally saved datasets.
---
### What does this PR do?
This PR introduces a minimal fallback mechanism in `load_dataset()` that detects when the provided `p... | true |
3,183,372,055 | https://api.github.com/repos/huggingface/datasets/issues/7652 | https://github.com/huggingface/datasets/pull/7652 | 7,652 | Add columns support to JSON loader for selective key filtering | open | 3 | 2025-06-27T16:18:42 | 2025-07-14T10:41:53 | null | ArjunJagdale | [] | Fixes #7594
This PR adds support for filtering specific columns when loading datasets from .json or .jsonl files — similar to how the columns=... argument works for Parquet.
As suggested, support for the `columns=...` argument (previously available for Parquet) has now been extended to **JSON and JSONL** loading v... | true |
3,182,792,775 | https://api.github.com/repos/huggingface/datasets/issues/7651 | https://github.com/huggingface/datasets/pull/7651 | 7,651 | fix: Extended metadata file names for folder_based_builder | open | 0 | 2025-06-27T13:12:11 | 2025-06-30T08:19:37 | null | iPieter | [] | Fixes #7650.
The metadata files generated by the `DatasetDict.save_to_file` function are not included in the folder_based_builder's metadata list, causing issues when only 1 actual data file is present, as described in issue #7650.
This PR adds these filenames to the builder, allowing correct loading. | true |
3,182,745,315 | https://api.github.com/repos/huggingface/datasets/issues/7650 | https://github.com/huggingface/datasets/issues/7650 | 7,650 | `load_dataset` defaults to json file format for datasets with 1 shard | open | 0 | 2025-06-27T12:54:25 | 2025-06-27T12:54:25 | null | iPieter | [] | ### Describe the bug
I currently have multiple datasets (train+validation) saved as 50MB shards. For one dataset the validation pair is small enough to fit into a single shard and this apparently causes problems when loading the dataset. I created the datasets using a DatasetDict, saved them as 50MB arrow files for st... | false |
3,181,481,444 | https://api.github.com/repos/huggingface/datasets/issues/7649 | https://github.com/huggingface/datasets/pull/7649 | 7,649 | Enable parallel shard upload in push_to_hub() using num_proc | closed | 2 | 2025-06-27T05:59:03 | 2025-07-07T18:13:53 | 2025-07-07T18:13:52 | ArjunJagdale | [] | Fixes #7591
### Add num_proc support to `push_to_hub()` for parallel shard upload
This PR adds support for parallel upload of dataset shards via the `num_proc` argument in `Dataset.push_to_hub()`.
📌 While the `num_proc` parameter was already present in the `push_to_hub()` signature and correctly passed to `_p... | true |
3,181,409,736 | https://api.github.com/repos/huggingface/datasets/issues/7648 | https://github.com/huggingface/datasets/pull/7648 | 7,648 | Fix misleading add_column() usage example in docstring | closed | 8 | 2025-06-27T05:27:04 | 2025-07-28T19:42:34 | 2025-07-17T13:14:17 | ArjunJagdale | [] | Fixes #7611
This PR fixes the usage example in the Dataset.add_column() docstring, which previously implied that add_column() modifies the dataset in-place.
Why:
The method returns a new dataset with the additional column, and users must assign the result to a variable to preserve the change.
This should make... | true |
3,178,952,517 | https://api.github.com/repos/huggingface/datasets/issues/7647 | https://github.com/huggingface/datasets/issues/7647 | 7,647 | loading mozilla-foundation--common_voice_11_0 fails | open | 2 | 2025-06-26T12:23:48 | 2025-07-10T14:49:30 | null | pavel-esir | [] | ### Describe the bug
Hello everyone,
i am trying to load `mozilla-foundation--common_voice_11_0` and it fails. Reproducer
```
import datasets
datasets.load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True, trust_remote_code=True)
```
and it fails with
```
File ~/opt/envs/.../lib/py... | false |
3,178,036,854 | https://api.github.com/repos/huggingface/datasets/issues/7646 | https://github.com/huggingface/datasets/pull/7646 | 7,646 | Introduces automatic subset-level grouping for folder-based dataset builders #7066 | open | 4 | 2025-06-26T07:01:37 | 2025-07-14T10:42:56 | null | ArjunJagdale | [] | Fixes #7066
This PR introduces automatic **subset-level grouping** for folder-based dataset builders by:
1. Adding a utility function `group_files_by_subset()` that clusters files by root name (ignoring digits and shard suffixes).
2. Integrating this logic into `FolderBasedBuilder._split_generators()` to yield one... | true |
3,176,810,164 | https://api.github.com/repos/huggingface/datasets/issues/7645 | https://github.com/huggingface/datasets/pull/7645 | 7,645 | `ClassLabel` docs: Correct value for unknown labels | open | 0 | 2025-06-25T20:01:35 | 2025-06-25T20:01:35 | null | l-uuz | [] | This small change fixes the documentation to to be compliant with what happens in `encode_example`.
https://github.com/huggingface/datasets/blob/e71b0b19d79c7531f9b9bea7c09916b5f6157f42/src/datasets/features/features.py#L1126-L1129 | true |
3,176,363,492 | https://api.github.com/repos/huggingface/datasets/issues/7644 | https://github.com/huggingface/datasets/pull/7644 | 7,644 | fix sequence ci | closed | 1 | 2025-06-25T17:07:55 | 2025-06-25T17:10:30 | 2025-06-25T17:08:01 | lhoestq | [] | fix error from https://github.com/huggingface/datasets/pull/7643 | true |
3,176,354,431 | https://api.github.com/repos/huggingface/datasets/issues/7643 | https://github.com/huggingface/datasets/pull/7643 | 7,643 | Backward compat sequence instance | closed | 1 | 2025-06-25T17:05:09 | 2025-06-25T17:07:40 | 2025-06-25T17:05:44 | lhoestq | [] | useful to still get `isinstance(Sequence(Value("int64")), Sequence)`for downstream libs like evaluate | true |
3,176,025,890 | https://api.github.com/repos/huggingface/datasets/issues/7642 | https://github.com/huggingface/datasets/pull/7642 | 7,642 | fix length for ci | closed | 0 | 2025-06-25T15:10:38 | 2025-06-25T15:11:53 | 2025-06-25T15:11:51 | lhoestq | [] | null | true |
3,175,953,405 | https://api.github.com/repos/huggingface/datasets/issues/7641 | https://github.com/huggingface/datasets/pull/7641 | 7,641 | update docs and docstrings | closed | 1 | 2025-06-25T14:48:58 | 2025-06-25T14:51:46 | 2025-06-25T14:49:33 | lhoestq | [] | null | true |
3,175,914,924 | https://api.github.com/repos/huggingface/datasets/issues/7640 | https://github.com/huggingface/datasets/pull/7640 | 7,640 | better features repr | closed | 1 | 2025-06-25T14:37:32 | 2025-06-25T14:46:47 | 2025-06-25T14:46:45 | lhoestq | [] | following the addition of List in #7634
before:
```python
In [3]: ds.features
Out[3]:
{'json': {'id': Value(dtype='string', id=None),
'metadata:transcript': [{'end': Value(dtype='float64', id=None),
'start': Value(dtype='float64', id=None),
'transcript': Value(dtype='string', id=None),
'wor... | true |
3,175,616,169 | https://api.github.com/repos/huggingface/datasets/issues/7639 | https://github.com/huggingface/datasets/pull/7639 | 7,639 | fix save_infos | closed | 1 | 2025-06-25T13:16:26 | 2025-06-25T13:19:33 | 2025-06-25T13:16:33 | lhoestq | [] | null | true |
3,172,645,391 | https://api.github.com/repos/huggingface/datasets/issues/7638 | https://github.com/huggingface/datasets/pull/7638 | 7,638 | Add ignore_decode_errors option to Image feature for robust decoding #7612 | open | 4 | 2025-06-24T16:47:51 | 2025-07-04T07:07:30 | null | ArjunJagdale | [] | This PR implements support for robust image decoding in the `Image` feature, as discussed in issue #7612.
## 🔧 What was added
- A new boolean field: `ignore_decode_errors` (default: `False`)
- If set to `True`, any exceptions during decoding will be caught, and `None` will be returned instead of raising an error
... | true |
3,171,883,522 | https://api.github.com/repos/huggingface/datasets/issues/7637 | https://github.com/huggingface/datasets/issues/7637 | 7,637 | Introduce subset_name as an alias of config_name | open | 4 | 2025-06-24T12:49:01 | 2025-07-01T16:08:33 | null | albertvillanova | [
"enhancement"
] | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | false |
3,170,878,167 | https://api.github.com/repos/huggingface/datasets/issues/7636 | https://github.com/huggingface/datasets/issues/7636 | 7,636 | "open" in globals()["__builtins__"], an error occurs: "TypeError: argument of type 'module' is not iterable" | open | 4 | 2025-06-24T08:09:39 | 2025-07-10T04:13:16 | null | kuanyan9527 | [] | When I run the following code, an error occurs: "TypeError: argument of type 'module' is not iterable"
```python
print("open" in globals()["__builtins__"])
```
Traceback (most recent call last):
File "./main.py", line 2, in <module>
print("open" in globals()["__builtins__"])
^^^^^^^^^^^^^^^^^^^^^^
TypeE... | false |
3,170,486,408 | https://api.github.com/repos/huggingface/datasets/issues/7635 | https://github.com/huggingface/datasets/pull/7635 | 7,635 | Fix: Preserve float columns in JSON loader when values are integer-like (e.g. 0.0, 1.0) | open | 0 | 2025-06-24T06:16:48 | 2025-06-24T06:16:48 | null | ArjunJagdale | [] | This PR fixes a bug in the JSON loader where columns containing float values like `[0.0, 1.0, 2.0]` were being implicitly coerced to `int`, due to pandas or Arrow type inference.
This caused issues downstream in statistics computation (e.g., dataset-viewer) where such columns were incorrectly labeled as `"int"` inst... | true |
3,169,389,653 | https://api.github.com/repos/huggingface/datasets/issues/7634 | https://github.com/huggingface/datasets/pull/7634 | 7,634 | Replace Sequence by List | closed | 1 | 2025-06-23T20:35:48 | 2025-06-25T13:59:13 | 2025-06-25T13:59:11 | lhoestq | [] | Sequence is just a utility that we need to keep for backward compatibility. And `[ ]` was used instead but doesn't allow passing the length of the list.
This PR removes most mentions of Sequence and usage of `[ ]` and defines a proper List type instead.
before: `Sequence(Value("int64"))` or `[Value("int64")]`
no... | true |
3,168,399,637 | https://api.github.com/repos/huggingface/datasets/issues/7633 | https://github.com/huggingface/datasets/issues/7633 | 7,633 | Proposal: Small Tamil Discourse Coherence Dataset. | open | 0 | 2025-06-23T14:24:40 | 2025-06-23T14:24:40 | null | bikkiNitSrinagar | [] | I’m a beginner from NIT Srinagar proposing a dataset of 50 Tamil text pairs for discourse coherence (coherent/incoherent labels) to support NLP research in low-resource languages.
- Size: 50 samples
- Format: CSV with columns (text1, text2, label)
- Use case: Training NLP models for coherence
I’ll use GitHub’s web edit... | false |
3,168,283,589 | https://api.github.com/repos/huggingface/datasets/issues/7632 | https://github.com/huggingface/datasets/issues/7632 | 7,632 | Graceful Error Handling for cast_column("image", Image(decode=True)) in Hugging Face Datasets | open | 2 | 2025-06-23T13:49:24 | 2025-07-08T06:52:53 | null | ganiket19 | [
"enhancement"
] | ### Feature request
Currently, when using dataset.cast_column("image", Image(decode=True)), the pipeline throws an error and halts if any image in the dataset is invalid or corrupted (e.g., truncated files, incorrect formats, unreachable URLs). This behavior disrupts large-scale processing where a few faulty samples a... | false |
3,165,127,657 | https://api.github.com/repos/huggingface/datasets/issues/7631 | https://github.com/huggingface/datasets/pull/7631 | 7,631 | Pass user-agent from DownloadConfig into fsspec storage_options | open | 1 | 2025-06-21T14:22:25 | 2025-06-21T14:25:28 | null | ArjunJagdale | [] | Fixes part of issue #6046
### Problem
The `user-agent` defined in `DownloadConfig` was not passed down to fsspec-based filesystems like `HfFileSystem`, which prevents proper identification/tracking of client requests.
### Solution
Added support for injecting the `user-agent` into `storage_options["headers"]` wi... | true |
3,164,650,900 | https://api.github.com/repos/huggingface/datasets/issues/7630 | https://github.com/huggingface/datasets/issues/7630 | 7,630 | [bug] resume from ckpt skips samples if .map is applied | open | 2 | 2025-06-21T01:50:03 | 2025-06-29T07:51:32 | null | felipemello1 | [] | ### Describe the bug
resume from ckpt skips samples if .map is applied
Maybe related: https://github.com/huggingface/datasets/issues/7538
### Steps to reproduce the bug
```python
from datasets import Dataset
from datasets.distributed import split_dataset_by_node
# Create dataset with map transformation
def create... | false |
3,161,169,782 | https://api.github.com/repos/huggingface/datasets/issues/7629 | https://github.com/huggingface/datasets/pull/7629 | 7,629 | Add test for `as_iterable_dataset()` method in DatasetBuilder | open | 0 | 2025-06-19T19:23:55 | 2025-06-19T19:23:55 | null | ArjunJagdale | [] | This PR adds a test for the new `as_iterable_dataset()` method introduced in PR #7628.
The test:
- Loads a builder using `load_dataset_builder("c4", "en")`
- Runs `download_and_prepare()`
- Streams examples using `builder.as_iterable_dataset(split="train[:100]")`
- Verifies streamed examples contain the "text" f... | true |
3,161,156,461 | https://api.github.com/repos/huggingface/datasets/issues/7628 | https://github.com/huggingface/datasets/pull/7628 | 7,628 | Add `as_iterable_dataset()` method to DatasetBuilder for streaming from cached Arrow files | open | 0 | 2025-06-19T19:15:41 | 2025-06-19T19:15:41 | null | ArjunJagdale | [] | This PR implements `builder.as_iterable_dataset(split=...)` as discussed in #5481.
It allows users to load an `IterableDataset` directly from cached Arrow files (using ArrowReader and ArrowExamplesIterable), without loading the full dataset into memory.
This is useful for large-scale training scenarios where memo... | true |
3,160,544,390 | https://api.github.com/repos/huggingface/datasets/issues/7627 | https://github.com/huggingface/datasets/issues/7627 | 7,627 | Creating a HF Dataset from lakeFS with S3 storage takes too much time! | closed | 1 | 2025-06-19T14:28:41 | 2025-06-23T12:39:10 | 2025-06-23T12:39:10 | Thunderhead-exe | [] | Hi,
I’m new to HF dataset and I tried to create datasets based on data versioned in **lakeFS** _(**MinIO** S3 bucket as storage backend)_
Here I’m using ±30000 PIL image from MNIST data however it is taking around 12min to execute, which is a lot!
From what I understand, it is loading the images into cache then buil... | false |
3,159,322,138 | https://api.github.com/repos/huggingface/datasets/issues/7626 | https://github.com/huggingface/datasets/pull/7626 | 7,626 | feat(map): reuse unchanged columns when input_columns specified to reduce disk usage (#6013) | closed | 0 | 2025-06-19T07:41:45 | 2025-07-28T17:39:12 | 2025-07-28T17:39:12 | ArjunJagdale | [] | ## Summary
This PR addresses [#6013](https://github.com/huggingface/datasets/issues/6013) by reusing unchanged columns from the original dataset in the `map()` method when `input_columns` is specified.
## What’s Implemented
- Injected logic at the end of `Dataset.map()` to:
- Identify untouched columns not ... | true |
3,159,016,001 | https://api.github.com/repos/huggingface/datasets/issues/7625 | https://github.com/huggingface/datasets/pull/7625 | 7,625 | feat: Add h5folder dataset loader for HDF5 support | open | 3 | 2025-06-19T05:39:10 | 2025-06-26T05:44:26 | null | ArjunJagdale | [] | ### Related Issue
Closes #3113
### What does this PR do?
This PR introduces a new dataset loader module called **`h5folder`** to support loading datasets stored in **HDF5 (.h5)** format.
It allows users to do:
```python
from datasets import load_dataset
dataset = load_dataset("h5folder", data_dir="path/t... | true |
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