id int64 3.24B 3.78B | number int64 7.69k 7.93k | title stringlengths 1 130 | body stringlengths 1 11.3k ⌀ | state stringclasses 2
values | html_url stringlengths 51 51 | pull_request dict | created_at timestamp[s]date 2025-07-18 09:30:04 2026-01-03 04:23:54 | updated_at timestamp[s]date 2025-07-18 11:59:51 2026-07-08 10:43:11 | closed_at timestamp[s]date 2025-07-18 11:52:29 2026-06-01 10:14:53 ⌀ | comments listlengths 0 30 | is_pull_request bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
3,777,662,799 | 7,931 | Enable CORS + HTTP Range support for browser partial reads on cas-bridge.xethub.hf.co (Parquet row-group access) | ### Feature request
## Summary
Browser-based data tools need Range requests to read Parquet efficiently (footer + selected row groups). Downloads from the Hub redirect to cas-bridge.xethub.hf.co (Xet bridge). The redirected host fails CORS preflight for Range/HEAD workflows, blocking partial reads. ([Hugging Face](htt... | closed | https://github.com/huggingface/datasets/issues/7931 | null | 2026-01-03T04:23:54 | 2026-02-24T21:31:37 | 2026-02-24T16:35:44 | [
"Cc @assafvayner maybe ? or @cfahlgren1 @severo if you've already encountered this ?",
"OK, reproduced with hyparquet on https://huggingface.co/spaces/hyperparam/hyperparam, see https://huggingface.co/spaces/hyperparam/hyperparam?url=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Ffacebook%2Fresearch-plan-gen%2Fblob%2F... | false |
3,775,842,185 | 7,928 | `load_dataset` `revision` param not respected when fetching from cache | ### Describe the bug
`datasets.load_dataset` `revision` semantics are a bit inconsistent when the dataset is not found on the huggingface hub. When fetching the latest cached version of the dataset, the `revision` argument is ignored, so long as any cached versions of the dataset already exist in the HF cache.
### St... | open | https://github.com/huggingface/datasets/issues/7928 | null | 2026-01-02T08:20:47 | 2026-04-17T16:01:16 | null | [
"This might be better placed as a feature request not a bug, since the logging `Using the latest cached version of the dataset since sentientfutures/ahb couldn't be found on the Hugging Face Hub` is clear.",
"https://github.com/huggingface/datasets/pull/7929 This only solves the case of invalid revisions. Fetchin... | false |
3,775,302,438 | 7,927 | Using Stateful Dataloader with Split Dataset By Node and DCP for DDP | ### Describe the bug
I am trying to determine how to save and load the Stateful Dataloader State with DCP and Split Dataset by Node for DDP.
Currently, I am running into the issue where I am receiving a slow resume.
```
Neither dataset nor iter(dataset) defines state_dict/load_state_dict so we are naively fast-forwar... | open | https://github.com/huggingface/datasets/issues/7927 | null | 2026-01-01T22:27:07 | 2026-02-01T06:13:30 | null | [
"Does it need to be pickled?\n\n```python\n def load_state_dict(self, state_dict):\n hf_state = pickle.loads(state_dict[\"data\"])\n self.train_dataset.load_state_dict(hf_state)\n\n def state_dict(self):\n return {\"data\": pickle.dumps(self.train_dataset.state_dict())}\n```",
"Pickling... | false |
3,772,247,021 | 7,922 | Support Apache TsFile Datasets | ### Feature request
I would love to use Hugging Face datasets library to directly load datasets composed of .tsfile files, for example:
`ds = load_dataset("username/dataset-with-tsfile-files")`
This feature would allow researchers working on time-series tasks to seamlessly integrate datasets stored in the Apache TsF... | closed | https://github.com/huggingface/datasets/issues/7922 | null | 2025-12-31T08:07:51 | 2026-06-01T10:14:53 | 2026-06-01T10:14:53 | [
"A large quantity of industrial timeseries data has been stored as TsFile, and I have been constantly hearing about AI fellows complaining about the lack of data or the insufficiency of data quality.\n\nI like the ambition that uses TsFile as the bridge between AI research and industrial analysis requirements. This... | false |
3,765,489,462 | 7,918 | datasets.load_from_disk doesn't show progress bar | ### Describe the bug
This is the inverse of the bug at [https://github.com/huggingface/datasets/issues/7030](https://github.com/huggingface/datasets/issues/7030), i.e. that `datasets.load_from_disk(path)` displays no progress bar. My dataset has > 16 files in it.
I am redirecting stdout as I capture the log, could th... | closed | https://github.com/huggingface/datasets/issues/7918 | null | 2025-12-28T09:14:41 | 2026-01-16T14:44:50 | 2026-01-16T14:44:50 | [
"#self-assign"
] | false |
3,764,913,807 | 7,917 | IterableDataset supports automatic sharding | ### Feature request
Added sharding function support to the streaming IterableDataset, allowing users to adjust the number of shards according to their training resources. For example:
```
dataset = load_dataset(*, stream=True)
dataset = dataset.shard(num_shards=num_shards, num_samples=num_samples) #We may need to know... | open | https://github.com/huggingface/datasets/issues/7917 | null | 2025-12-27T16:48:29 | 2025-12-29T16:06:52 | null | [
"You can already use `.shard()` instead like this:\n\n```python\ndataset = dataset.shard(index=rank, num_shards=world_size)\n```\n\nnote that it requires that `dataset.num_shards >= world_size`, and that it may result in nodes having the same number of shards +- 1",
"> You can already use `.shard()` instead like ... | false |
3,764,901,707 | 7,916 | No description provided. | null | closed | https://github.com/huggingface/datasets/issues/7916 | null | 2025-12-27T16:33:11 | 2025-12-27T16:45:22 | 2025-12-27T16:45:22 | [] | false |
3,762,042,396 | 7,915 | GDPval dataset Word docs corrupted | The [openai/gdpval](https://huggingface.co/datasets/openai/gdpval) dataset on Hugging Face contains Word .docx files with two types of corruption that cause Microsoft Word to display an "unreadable content" error.
### Root Causes
1. **Corrupted settings.xml**: The `word/settings.xml` file uses incorrect namespace pre... | open | https://github.com/huggingface/datasets/issues/7915 | null | 2025-12-25T13:56:55 | 2025-12-26T09:06:13 | null | [
"tentatively tagging @simonpfish ^\n\n(if it's an option you could enable PRs/Discussions on your dataset on HF)"
] | false |
3,760,894,100 | 7,914 | [ROCm] please install 'torchcodec' | ### Describe the bug
Datasets library is widely used by many Python packages. Naturally, it is a requirement on many platforms. This includes vLLM for ROCm. During audio dataset tests, there is an exception triggered:
```python
def decode_example(
self, value: dict, token_per_repo_id: Optional[dict[str, Un... | open | https://github.com/huggingface/datasets/issues/7914 | null | 2025-12-24T19:39:17 | 2026-03-04T10:18:33 | null | [
"I was able to install torchcodec by building it from source and have put together a PR: https://github.com/vllm-project/vllm/pull/31323\n\nStill I think it would make this framework more robust to add at least one fallback lib (that is more widely used) in place should torchcodec installation fail or library is no... | false |
3,753,447,559 | 7,911 | IndexError when saving few large examples to disk | ### Describe the bug
I ran into this issue when processing a file (900MB) with just one example but simplified for a quicker reproducer below. The problem is that, if `num_shards` is not explicitly set, we calculate it manually using https://github.com/huggingface/datasets/blob/main/src/datasets/utils/py_utils.py#L96 ... | closed | https://github.com/huggingface/datasets/issues/7911 | null | 2025-12-22T11:33:19 | 2026-01-09T13:23:53 | 2026-01-09T13:23:52 | [] | false |
3,749,885,131 | 7,909 | Support cast_kwargs in cast_columns | ### Feature request
expose `cast(**cast_kwargs)` to `cast_column()`
https://github.com/huggingface/datasets/blob/0feb65dd8733191dd2d1e74215b422fc5939a56a/src/datasets/arrow_dataset.py#L2205
### Motivation
`cast_column()` wraps `cast()` function without exposing any `cast()` args. For large multi-modal datasets, e.g... | open | https://github.com/huggingface/datasets/issues/7909 | null | 2025-12-20T10:02:07 | 2025-12-20T10:28:01 | null | [] | false |
3,734,233,245 | 7,905 | Unbounded network usage when opening Data Studio | ### Describe the bug
Opening the Data Studio tab on a dataset page triggers continuous and unbounded network traffic. This issue occurs across multiple browsers and continues even without user interaction.
### Steps to reproduce the bug
https://huggingface.co/datasets/slone/nllb-200-10M-sample/viewer
### Expected... | closed | https://github.com/huggingface/datasets/issues/7905 | null | 2025-12-16T10:45:02 | 2026-01-06T15:04:43 | 2026-01-06T15:04:43 | [
"cc @cfahlgren1",
"Thanks for reporting! Looking into this!",
"This should be fixed. Thank you for your patience! 🤗"
] | false |
3,727,978,498 | 7,904 | Request: Review pending neuroimaging PRs (#7886 BIDS loader, #7887 lazy loading) | ## Summary
I'm building production neuroimaging pipelines that depend on `datasets` and would benefit greatly from two pending PRs being reviewed/merged.
## Pending PRs
| PR | Description | Status | Open Since |
|----|-------------|--------|------------|
| [#7886](https://github.com/huggingface/datasets/pull/7886) |... | open | https://github.com/huggingface/datasets/issues/7904 | null | 2025-12-14T20:34:31 | 2025-12-15T11:25:29 | null | [
"Hi ! sure I'll be happy to take a look, sorry for the delay :)"
] | false |
3,723,281,150 | 7,902 | The child process retrieves the dataset directly from the main process instead of executing `memory_mapped_arrow_table_from_file`. | ### Feature request
The child process retrieves the dataset directly from the main process instead of executing `memory_mapped_arrow_table_from_file`.
### Motivation
Because my local disk space is insufficient, I can only store a dataset on a remote Ceph server and process it using datasets.
I used the data-juicer[h... | open | https://github.com/huggingface/datasets/issues/7902 | null | 2025-12-12T12:37:44 | 2025-12-15T11:48:16 | null | [
"Memory mapping is actually the way for processes to share memory efficiently and without copy. It is efficient when on are using a local disk, and it's discouraged to use it on remote disk for the reasons you observed.\n\nWhat you can do instead is save the dataset as Parquet on your remote storage (or on Hugging ... | false |
3,722,243,543 | 7,901 | ShuffledDataSourcesArrowExamplesIterable cannot properly resume from checkpoint | ### Describe the bug
ShuffledDataSourcesArrowExamplesIterable cannot properly resume from checkpoint
### Steps to reproduce the bug
1. The reproducible code is as follows：
```
from datasets import Dataset, concatenate_datasets, interleave_datasets
ds = Dataset.from_dict({"a": range(12)}).to_iterable_dataset(num_sha... | open | https://github.com/huggingface/datasets/issues/7901 | null | 2025-12-12T06:57:32 | 2025-12-16T19:34:46 | null | [
"Hi ! As you can read in the logs, the shuffle buffer content is lost when resuming a shuffled dataset. The default size is 1000 examples, but you can tweak it\n\ne.g. if you run your code with this\n\n```diff\n- ds = Dataset.from_dict({\"a\": range(12)}).to_iterable_dataset(num_shards=1)\n- ds = ds.shuffle(seed=42... | false |
3,711,751,590 | 7,900 | `Permission denied` when sharing cache between users | ### Describe the bug
We want to use `datasets` and `transformers` on a shared machine. Right now, each user has a separate HF_HOME in their home directory. To reduce duplicates of the datasets, we want to share that cache. While experimenting, we are running into `Permission denied` errors.
It looks like this was sup... | open | https://github.com/huggingface/datasets/issues/7900 | null | 2025-12-09T16:41:47 | 2026-01-09T11:08:36 | null | [
"I remember a fix from last year to usr the current umask for filelock 3.10.0, which filelock version are you using ? can you try another version ?",
"I believe we we are using `filelock==3.19.1`. Do you have a recommended version to use?",
"Our test suite has been testing all versions over time for years now, ... | false |
3,688,455,006 | 7,894 | embed_table_storage crashes (SIGKILL) on sharded datasets with Sequence() nested types | ## Summary
`embed_table_storage` crashes with SIGKILL (exit code 137) when processing sharded datasets containing `Sequence()` nested types like `Sequence(Nifti())`. Likely affects `Sequence(Image())` and `Sequence(Audio())` as well.
The crash occurs at the C++ level with no Python traceback.
### Related Issues
- #... | open | https://github.com/huggingface/datasets/issues/7894 | null | 2025-12-03T04:20:06 | 2025-12-06T13:10:34 | null | [
"I wasn't able to reproduce the crash on my side (macos arm 54, pyarrow 22 and a nifti file I found [online](https://s3.amazonaws.com/openneuro.org/ds004884/sub-M2001/ses-1076/anat/sub-M2001_ses-1076_acq-tfl3_run-4_T1w.nii.gz?versionId=9aVGb3C.VcoBgxrhNzFnL6O0MvxQsXX7&AWSAccessKeyId=AKIARTA7OOV5WQ3DGSOB&Signature=L... | false |
3,688,454,085 | 7,893 | push_to_hub OOM: _push_parquet_shards_to_hub accumulates all shard bytes in memory | ## Summary
Large dataset uploads crash or hang due to memory exhaustion. This appears to be the root cause of several long-standing issues.
### Related Issues
This is the root cause of:
- #5990 - Pushing a large dataset on the hub consistently hangs (46 comments, open since 2023)
- #7400 - 504 Gateway Timeout when u... | closed | https://github.com/huggingface/datasets/issues/7893 | null | 2025-12-03T04:19:34 | 2025-12-05T22:45:59 | 2025-12-05T22:44:16 | [
"`preupload_lfs_files` removes the parquet bytes in `shard_addition` since the default is `free_memory=True`: it doesn't accumulate in memory. Can you check this is indeed the case, i.e. that `shard_addition.path_or_fileobj` is indeed empty ?",
"@lhoestq Thank you for pushing back on this and helping me understan... | false |
3,668,182,561 | 7,883 | Data.to_csv() cannot be recognized by pylance | ### Describe the bug
Hi, everyone ! I am a beginner with datasets.
I am testing reading multiple CSV files from a zip archive. The result of reading the dataset shows success, and it can ultimately be correctly saved to CSV.
Intermediate results:
```
Generating train split: 62973 examples [00:00, 175939.01 examples/... | closed | https://github.com/huggingface/datasets/issues/7883 | null | 2025-11-26T16:16:56 | 2025-12-08T12:06:58 | 2025-12-08T12:06:58 | [] | false |
3,667,664,527 | 7,882 | Inconsistent loading of LFS-hosted files in epfml/FineWeb-HQ dataset | ### Describe the bug
Some files in the `epfml/FineWeb-HQ` dataset fail to load via the Hugging Face `datasets` library.
- xet-hosted files load fine
- LFS-hosted files sometimes fail
Example:
- Fails: https://huggingface.co/datasets/epfml/FineWeb-HQ/blob/main/data/CC-MAIN-2024-26/000_00003.parquet
- Works: ht... | open | https://github.com/huggingface/datasets/issues/7882 | null | 2025-11-26T14:06:02 | 2025-12-19T14:09:45 | null | [
"we are investigating the issue, I'll post updates here",
"It should be all good now, sorry for the inconvenience.\n\nWe found an error that happened during the migration of this repository from Git LFS to Xet and fixed the issue"
] | false |
3,667,561,864 | 7,880 | Spurious label column created when audiofolder/imagefolder directories match split names | ## Describe the bug
When using `audiofolder` or `imagefolder` with directories for **splits** (train/test) rather than class labels, a spurious `label` column is incorrectly created.
**Example:** https://huggingface.co/datasets/datasets-examples/doc-audio-4
```
from datasets import load_dataset
ds = load_dataset("dat... | open | https://github.com/huggingface/datasets/issues/7880 | null | 2025-11-26T13:36:24 | 2025-11-26T13:36:24 | null | [] | false |
3,657,249,446 | 7,879 | python core dump when downloading dataset | ### Describe the bug
When downloading a dataset in streamed mode and exiting the program before the download completes, the python program core dumps when exiting:
```
terminate called without an active exception
Aborted (core dumped)
```
Tested with python 3.12.3, python 3.9.21
### Steps to reproduce the bug
Cr... | open | https://github.com/huggingface/datasets/issues/7879 | null | 2025-11-24T06:22:53 | 2025-11-25T20:45:55 | null | [
"Hi @hansewetz I'm curious, for me it works just fine. Are you still observing the issue?",
"Yup ... still the same issue.\nHowever, after adding a ```sleep(1)``` call after the ``` for``` loop by accident during debugging, the program terminates properly (not a good solution though ... :-) ).\nAre there some thr... | false |
3,652,906,788 | 7,877 | work around `tempfile` silently ignoring `TMPDIR` if the dir doesn't exist | This should help a lot of users running into `No space left on device` while using `datasets`. Normally the issue is is that `/tmp` is too small and the user needs to use another path, which they would normally set as `export TMPDIR=/some/big/storage`
However, the `tempfile` facility that `datasets` and `pyarrow` use ... | closed | https://github.com/huggingface/datasets/issues/7877 | null | 2025-11-21T19:51:48 | 2025-12-16T14:20:48 | 2025-12-16T14:20:48 | [
"Hi! Just created a Pull Request (#7890) to try to fix this using your suggestions. I hope it helps!"
] | false |
3,643,681,893 | 7,872 | IterableDataset does not use features information in to_pandas | ### Describe the bug
`IterableDataset` created from generator with explicit `features=` parameter seems to ignore provided features description for certain operations, e.g. `.to_pandas(...)` when data coming from the generator has missing values.
### Steps to reproduce the bug
```python
import datasets
from datasets... | open | https://github.com/huggingface/datasets/issues/7872 | null | 2025-11-19T17:12:59 | 2025-11-19T18:52:14 | null | [
"Created A PR!",
"Another test script that can be used to test the behavior - \n\n```\nimport datasets\nfrom datasets import features\n\ndef test_crash():\n common_features = features.Features({\n \"a\": features.Value(\"int64\"),\n \"b\": features.List({\"c\": features.Value(\"int64\")}),\n }... | false |
3,643,607,371 | 7,871 | Reqwest Error: HTTP status client error (429 Too Many Requests) | ### Describe the bug
full error message:
```
Traceback (most recent call last):
File "/home/yanan/miniconda3/bin/hf", line 7, in <module>
sys.exit(main())
~~~~^^
File "/home/yanan/miniconda3/lib/python3.13/site-packages/huggingface_hub/cli/hf.py", line 56, in main
app()
~~~^^
File "/ho... | closed | https://github.com/huggingface/datasets/issues/7871 | null | 2025-11-19T16:52:24 | 2025-11-30T13:38:32 | 2025-11-30T13:38:32 | [
"the dataset repo: `https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim`",
"Hi @yanan1116,\n\nThanks for the detailed report! However, this issue was filed in the wrong repository. This is a `huggingface_hub` issue, not a `datasets` issue.\n\nLooking at your traceback, you're using t... | false |
3,642,209,953 | 7,870 | Visualization for Medical Imaging Datasets | This is a followup to: https://github.com/huggingface/datasets/pull/7815.
I checked the possibilities to visualize the nifti (and potentially dicom), and here's what I found:
- https://github.com/aces/brainbrowser, AGPL3 license, last commit 3 months ago, latest (github) release from 2017. It's available on jsdelivr... | closed | https://github.com/huggingface/datasets/issues/7870 | null | 2025-11-19T11:05:39 | 2025-11-21T12:31:19 | 2025-11-21T12:31:19 | [
"It would be amazing to be able to show the Papaya UI in google colab / jupyter notebook. IIRC both allow serving javascript via nbextensions that we can surely use in HTML() objects.\n\nAlternatively we could also start with a simple approach and dump the medical image data as a video file that goes through the sl... | false |
3,636,808,734 | 7,869 | Why does dataset merge fail when tools have different parameters? | Hi, I have a question about SFT (Supervised Fine-tuning) for an agent model.
Suppose I want to fine-tune an agent model that may receive two different tools: tool1 and tool2. These tools have different parameters and types in their schema definitions.
When I try to merge datasets containing different tool definitions... | closed | https://github.com/huggingface/datasets/issues/7869 | null | 2025-11-18T08:33:04 | 2026-03-09T15:57:59 | 2026-03-09T15:57:58 | [
"Hi @hitszxs,\n This is indeed by design,\n\nThe `datasets` library is built on top of [Apache Arrow](https://arrow.apache.org/), which uses a **columnar storage format** with strict schema requirements. When you try to concatenate/merge datasets, the library checks if features can be aligned using the [`_check_if_... | false |
3,632,429,308 | 7,868 | Data duplication with `split_dataset_by_node` and `interleaved_dataset` | ### Describe the bug
Data duplication in different rank, when process a iterabledataset with first `split_dataset_by_node` and then `interleaved_dataset`
### Steps to reproduce the bug
I have provide a minimum scripts
```python
import os
from datasets import interleave_datasets, load_dataset
from datasets.distribu... | closed | https://github.com/huggingface/datasets/issues/7868 | null | 2025-11-17T09:15:24 | 2026-02-04T18:55:36 | 2026-02-04T18:55:36 | [
"Hi @ValMystletainn ,\nCan I be assigned this issue?",
"> split_dataset_by_node\n\nHello, I have some questions about your intended use: (1) It seems unnecessary to use interleaving for a single dataset. (2) For multiple datasets, it seems possible to interleave first and then split by node?",
"Hi ! I think int... | false |
3,620,931,722 | 7,867 | NonMatchingSplitsSizesError when loading partial dataset files | ### Describe the bug
When loading only a subset of dataset files while the dataset's README.md contains split metadata, the system throws a NonMatchingSplitsSizesError . This prevents users from loading partial datasets for quick validation in cases of poor network conditions or very large datasets.
### Steps to repr... | open | https://github.com/huggingface/datasets/issues/7867 | null | 2025-11-13T12:03:23 | 2025-11-16T15:39:23 | null | [
"While using verification_mode='no_checks' parameter in load_dataset() can bypass this validation, this solution is not intuitive or convenient for most users, especially those who are not familiar with all the parameters of the load_dataset() function.\n\n```python\nbook_corpus_ds = load_dataset(\n \"SaylorTwif... | false |
3,619,137,823 | 7,864 | add_column and add_item erroneously(?) require new_fingerprint parameter | ### Describe the bug
Contradicting their documentation (which doesn't mention the parameter at all), both Dataset.add_column and Dataset.add_item require a new_fingerprint string. This parameter is passed directly to the dataset constructor, which has the fingerprint parameter listed as optional; is there any reason i... | open | https://github.com/huggingface/datasets/issues/7864 | null | 2025-11-13T02:56:49 | 2026-05-10T11:51:01 | null | [
"Take this with a grain of salt, this is just my personal understanding:\nWhile you technically can overwrite the new_fingerprint with a string, e.g.\n```python\nt = d.add_column(\"new_column\", col_value, new_fingerprint=\"dummy_fp\")\nassert t._fingerprint == \"dummy_fp\" # this is true and will pass\n```\nthis ... | false |
3,618,836,821 | 7,863 | Support hosting lance / vortex / iceberg / zarr datasets on huggingface hub | ### Feature request
Huggingface datasets has great support for large tabular datasets in parquet with large partitions. I would love to see two things in the future:
- equivalent support for `lance`, `vortex`, `iceberg`, `zarr` (in that order) in a way that I can stream them using the datasets library
- more fine-gr... | open | https://github.com/huggingface/datasets/issues/7863 | null | 2025-11-13T00:51:07 | 2026-04-23T12:29:09 | null | [
"Kudos!",
"So cool ! Would love to see support for lance :)",
"@lhoestq thanks for your support! Any suggestions across `datasets` or `huggingface_hub` projects to make this happen?\n\nI just noticed this blog post: https://huggingface.co/blog/streaming-datasets\n\nDo you know if `hfFileSystem` from `huggingfac... | false |
3,611,821,713 | 7,861 | Performance Issue: save_to_disk() 200-1200% slower due to unconditional flatten_indices() | ## 🐛 Bug Description
The `save_to_disk()` method unconditionally calls `flatten_indices()` when `_indices` is not None, causing severe performance degradation for datasets processed with filtering, shuffling, or multiprocessed mapping operations.
**Root cause**: This line rebuilds the entire dataset unnecessarily:
`... | open | https://github.com/huggingface/datasets/issues/7861 | null | 2025-11-11T11:05:38 | 2025-11-11T11:05:38 | null | [] | false |
3,603,729,142 | 7,856 | Missing transcript column when loading a local dataset with "audiofolder" | ### Describe the bug
My local dataset is not properly loaded when using `load_dataset("audiofolder", data_dir="my_dataset")` with a `jsonl` metadata file.
Only the `audio` column is read while the `transcript` column is not.
The last tested `datasets` version where the behavior was still correct is 2.18.0.
### Steps... | closed | https://github.com/huggingface/datasets/issues/7856 | null | 2025-11-08T16:27:58 | 2025-11-09T12:13:38 | 2025-11-09T12:13:38 | [
"First bad commit 5c8869f8c36dbc8c8d423030b7b7c4fd64f8c729\n\nEDIT: This is not a bug or a regression. It was a breaking change introduced in the commit I mentioned and was also documented in there. The docs state how to handle this now, see https://huggingface.co/docs/datasets/main/en/audio_load#audiofolder-with-m... | false |
3,595,450,602 | 7,852 | Problems with NifTI | ### Describe the bug
There are currently 2 problems with the new NifTI feature:
1. dealing with zipped files, this is mentioned and explained [here](https://github.com/huggingface/datasets/pull/7815#issuecomment-3496199503)
2. when uploading via the `niftifolder` feature, the resulting parquet only contains relative p... | closed | https://github.com/huggingface/datasets/issues/7852 | null | 2025-11-06T11:46:33 | 2025-11-06T16:20:38 | 2025-11-06T16:20:38 | [
"> 2. when uploading via the niftifolder feature, the resulting parquet only contains relative paths to the nifti files:\n\nwhat did you use to upload the dataset ? iirc push_to_hub() does upload the bytes as well, but to_parquet() doesn't",
"> > 2. when uploading via the niftifolder feature, the resulting parque... | false |
3,582,182,995 | 7,842 | Transform with columns parameter triggers on non-specified column access | ### Describe the bug
Iterating over a [`Column`](https://github.com/huggingface/datasets/blob/8b1bd4ec1cc9e9ce022f749abb6485ef984ae7c0/src/datasets/arrow_dataset.py#L633-L692) iterates through the parent [`Dataset`](https://github.com/huggingface/datasets/blob/8b1bd4ec1cc9e9ce022f749abb6485ef984ae7c0/src/datasets/arro... | closed | https://github.com/huggingface/datasets/issues/7842 | null | 2025-11-03T13:55:27 | 2025-11-03T14:34:13 | 2025-11-03T14:34:13 | [] | false |
3,579,506,747 | 7,841 | DOC: `mode` parameter on pdf and video features unused | Following up on https://github.com/huggingface/datasets/pull/7840 I asked claude code to check for undocumented parameters for other features and it found:
- mode parameter on video is documented but unused: https://github.com/huggingface/datasets/blob/main/src/datasets/features/video.py#L48-L49
- the same goes for the... | closed | https://github.com/huggingface/datasets/issues/7841 | null | 2025-11-02T12:37:47 | 2025-11-05T14:04:04 | 2025-11-05T14:04:04 | [
"They seem to be artefacts from a copy-paste of the Image feature ^^' we should remove them"
] | false |
3,579,121,843 | 7,839 | datasets doesn't work with python 3.14 | ### Describe the bug
Seems that `dataset` doesn't work with python==3.14. The root cause seems to be something with a `deel` API that was changed.
```
TypeError: Pickler._batch_setitems() takes 2 positional arguments but 3 were given
```
### Steps to reproduce the bug
(on a new folder)
uv init
uv python pin 3.14
uv... | closed | https://github.com/huggingface/datasets/issues/7839 | null | 2025-11-02T09:09:06 | 2025-11-04T14:02:25 | 2025-11-04T14:02:25 | [
"Thanks for the report.\nHave you tried on main? This should work, there was recently a PR merged to address this problem, see #7817",
"Works on main 👍 \nWhat's the release schedule for `datasets`? Seems like a cadence of ~2weeks so I assume a real version is due pretty soon?",
"let's say we do a new release l... | false |
3,575,454,726 | 7,837 | mono parameter to the Audio feature is missing | According to the docs, there is a "mono" parameter to the Audio feature, which turns any stereo into mono. In practice the signal is not touched and the mono parameter, even though documented, does not exist.
https://github.com/huggingface/datasets/blob/41c05299348a499807432ab476e1cdc4143c8772/src/datasets/features/a... | closed | https://github.com/huggingface/datasets/issues/7837 | null | 2025-10-31T15:41:39 | 2025-11-03T15:59:18 | 2025-11-03T14:24:12 | [
"Hey, we removed the misleading passage in the docstring and enabled support for `num_channels` as torchcodec does",
"thanks!"
] | false |
3,558,802,959 | 7,834 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc) | ### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure).
The crash happens even with a minimal code example and valid .wav file that can be read... | open | https://github.com/huggingface/datasets/issues/7834 | null | 2025-10-27T22:02:00 | 2025-11-15T16:28:04 | null | [
"Hi ! `datasets` v4 uses `torchcodec` for audio decoding (previous versions were using `soundfile`). What is your `torchcodec` version ? Can you try other versions of `torchcodec` and see if it works ?",
"When I install `datasets` with `pip install datasets[audio]` it install this version of `torchcodec`:\n```\nN... | false |
3,555,991,552 | 7,832 | [DOCS][minor] TIPS paragraph not compiled in docs/stream | In the client documentation, the markdown 'TIP' paragraph for paragraph in docs/stream#shuffle is not well executed — not as the other in the same page / while markdown is correctly considering it.
Documentation:
https://huggingface.co/docs/datasets/v4.3.0/en/stream#shuffle:~:text=%5B!TIP%5D%5BIterableDataset.shuffle(... | closed | https://github.com/huggingface/datasets/issues/7832 | null | 2025-10-27T10:03:22 | 2025-10-27T10:10:54 | 2025-10-27T10:10:54 | [] | false |
3,548,584,085 | 7,829 | Memory leak / Large memory usage with num_workers = 0 and numerous dataset within DatasetDict | ### Describe the bug
Hi team, first off, I love the datasets library! 🥰
I'm encountering a potential memory leak / increasing memory usage when training a model on a very large DatasetDict.
Setup: I have a DatasetDict containing 362 distinct datasets, which sum up to ~2.8 billion rows.
Training Task: I'm performin... | open | https://github.com/huggingface/datasets/issues/7829 | null | 2025-10-24T09:51:38 | 2026-01-31T17:48:50 | null | [
"Thanks for the report, this is possibly related #7722 and #7694.\n\nCould you pls provide steps to reproduce this?",
"To overcome this issue right now I did simply reduce the size of the dataset and ended up running a for loop (my training has now a constant learning rate schedule). From what I understood, and I... | false |
3,520,913,195 | 7,821 | Building a dataset with large variable size arrays results in error ArrowInvalid: Value X too large to fit in C integer type | ### Describe the bug
I used map to store raw audio waveforms of variable lengths in a column of a dataset the `map` call fails with ArrowInvalid: Value X too large to fit in C integer type.
```
Traceback (most recent call last):
Traceback (most recent call last):
File "...lib/python3.12/site-packages/multiprocess/p... | open | https://github.com/huggingface/datasets/issues/7821 | null | 2025-10-16T08:45:17 | 2025-10-20T13:42:05 | null | [
"Thanks for reporting ! You can fix this by specifying the output type explicitly and use `LargeList` which uses int64 for offsets:\n\n```python\nfeatures = Features({\"audio\": LargeList(Value(\"uint16\"))})\nds = ds.map(..., features=features)\n```\n\nIt would be cool to improve `list_of_pa_arrays_to_pyarrow_list... | false |
3,517,086,110 | 7,819 | Cannot download opus dataset | When I tried to download opus_books using:
from datasets import load_dataset
dataset = load_dataset("Helsinki-NLP/opus_books")
I got the following errors:
FileNotFoundError: Couldn't find any data file at /workspace/Helsinki-NLP/opus_books. Couldn't find 'Helsinki-NLP/opus_books' on the Hugging Face Hub either: Local... | open | https://github.com/huggingface/datasets/issues/7819 | null | 2025-10-15T09:06:19 | 2025-10-20T13:45:16 | null | [
"Hi ! it seems \"en-zh\" doesn't exist for this dataset\n\nYou can see the list of subsets here: https://huggingface.co/datasets/Helsinki-NLP/opus_books"
] | false |
3,515,887,618 | 7,818 | train_test_split and stratify breaks with Numpy 2.0 | ### Describe the bug
As stated in the title, since Numpy changed in version >2.0 with copy, the stratify parameters break.
e.g. `all_dataset.train_test_split(test_size=0.2,stratify_by_column="label")` returns a Numpy error.
It works if you downgrade Numpy to a version lower than 2.0.
### Steps to reproduce the bug
... | closed | https://github.com/huggingface/datasets/issues/7818 | null | 2025-10-15T00:01:19 | 2025-10-28T16:10:44 | 2025-10-28T16:10:44 | [
"I can't reproduce this. Could you pls provide an example with a public dataset/artificial dataset and show how you loaded that?\n\nThis works for me:\n\n```python\nimport numpy as np\nfrom datasets import Dataset, Features, ClassLabel, Value\n\ndata = {\"text\": [f\"sample_{i}\" for i in range(100)], \"label\": [i... | false |
3,512,210,206 | 7,816 | disable_progress_bar() not working as expected | ### Describe the bug
Hi,
I'm trying to load a dataset on Kaggle TPU image. There is some known compat issue with progress bar on Kaggle, so I'm trying to disable the progress bar globally. This does not work as you can see in [here](https://www.kaggle.com/code/windmaple/hf-datasets-issue).
In contract, disabling pro... | closed | https://github.com/huggingface/datasets/issues/7816 | null | 2025-10-14T03:25:39 | 2025-10-14T23:49:26 | 2025-10-14T23:49:26 | [
"@xianbaoqian ",
"Closing this one since it's a Xet issue."
] | false |
3,503,446,288 | 7,813 | Caching does not work when using python3.14 | ### Describe the bug
Traceback (most recent call last):
File "/workspace/ctn.py", line 8, in <module>
ds = load_dataset(f"naver-clova-ix/synthdog-{lang}") # или "synthdog-zh" для китайского
File "/workspace/.venv/lib/python3.14/site-packages/datasets/load.py", line 1397, in load_dataset
builder_instance =... | closed | https://github.com/huggingface/datasets/issues/7813 | null | 2025-10-10T15:36:46 | 2025-10-27T17:08:26 | 2025-10-27T17:08:26 | [
"https://github.com/uqfoundation/dill/issues/725",
"@intexcor does #7817 fix your problem?"
] | false |
3,500,741,658 | 7,811 | SIGSEGV when Python exits due to near null deref | ### Describe the bug
When I run the following python script using datasets I get a segfault.
```python
from datasets import load_dataset
from tqdm import tqdm
progress_bar = tqdm(total=(1000), unit='cols', desc='cols ')
progress_bar.update(1)
```
```
% lldb -- python3 crashmin.py
(lldb) target create "python3"
Cur... | open | https://github.com/huggingface/datasets/issues/7811 | null | 2025-10-09T22:00:11 | 2025-10-10T22:09:24 | null | [
"The issue seems to come from `dill` which is a `datasets` dependency, e.g. this segfaults:\n\n```python\nimport dill\nfrom tqdm import tqdm\nprogress_bar = tqdm(total=(1000), unit='cols', desc='cols ')\nprogress_bar.update(1)\n```\n\n`tqdm` seems to segfault when `dill` is imported. I only found this about segfaul... | false |
3,498,534,596 | 7,804 | Support scientific data formats | List of formats and libraries we can use to load the data in `datasets`:
- [ ] DICOMs: pydicom
- [x] NIfTIs: nibabel
- [ ] WFDB: wfdb
cc @zaRizk7 for viz
Feel free to comment / suggest other formats and libs you'd like to see or to share your interest in one of the mentioned format | open | https://github.com/huggingface/datasets/issues/7804 | null | 2025-10-09T10:18:24 | 2025-11-26T16:09:43 | null | [
"Please add the support for `Zarr`! That's what we use in the Bioimaging community. It is crucial, because raw upload of a *single* bio image can take _terrabytes in memory_!\n\nThe python library would be `bioio` or `zarr`:\n- [ ] Zarr: `bioio` or `zarr`\n\nSee a [Zarr example](https://ome.github.io/ome-ngff-valid... | false |
3,497,454,119 | 7,802 | [Docs] Missing documentation for `Dataset.from_dict` | Documentation link: https://huggingface.co/docs/datasets/en/package_reference/main_classes
Link to method (docstring present): https://github.com/huggingface/datasets/blob/6f2502c5a026caa89839713f6f7c8b958e5e83eb/src/datasets/arrow_dataset.py#L1029
The docstring is present for the function, but seems missing from the... | open | https://github.com/huggingface/datasets/issues/7802 | null | 2025-10-09T02:54:41 | 2025-10-19T16:09:33 | null | [
"I'd like to work on this documentation issue.",
"Hi I'd like to work on this. I can see the docstring is already in the code. \nCould you confirm:\n1. Is this still available?\n2. Should I add this to the main_classes.md file, or is there a specific \n documentation file I should update?\n3. Are there any form... | false |
3,484,470,782 | 7,798 | Audio dataset is not decoding on 4.1.1 | ### Describe the bug
The audio column remain as non-decoded objects even when accessing them.
```python
dataset = load_dataset("MrDragonFox/Elise", split = "train")
dataset[0] # see that it doesn't show 'array' etc...
```
Works fine with `datasets==3.6.0`
Followed the docs in
- https://huggingface.co/docs/dataset... | open | https://github.com/huggingface/datasets/issues/7798 | null | 2025-10-05T06:37:50 | 2025-10-06T14:07:55 | null | [
"Previously (datasets<=3.6.0), audio columns were decoded automatically when accessing a row. Now, for performance reasons, audio decoding is lazy by default: you just see the file path unless you explicitly cast the column to Audio.\n\nHere’s the fix (following the current [datasets audio docs](https://huggingface... | false |
3,459,496,971 | 7,793 | Cannot load dataset, fails with nested data conversions not implemented for chunked array outputs | ### Describe the bug
Hi! When I load this dataset, it fails with a pyarrow error. I'm using datasets 4.1.1, though I also see this with datasets 4.1.2
To reproduce:
```
import datasets
ds = datasets.load_dataset(path="metr-evals/malt-public", name="irrelevant_detail")
```
Error:
```
Traceback (most recent call las... | open | https://github.com/huggingface/datasets/issues/7793 | null | 2025-09-27T01:03:12 | 2025-09-27T21:35:31 | null | [
"Hey @neevparikh,\nThanks for reporting this! I can reproduce the issue and have identified the root cause.\nProblem: The metr-evals/malt-public dataset contains deeply nested conversation data that exceeds PyArrow's 16MB chunk limit. When PyArrow tries to read it in chunks, it hits a fundamental limitation: \"Nest... | false |
3,456,802,210 | 7,792 | Concatenate IterableDataset instances and distribute underlying shards in a RoundRobin manner | ### Feature request
I would like to be able to concatenate multiple `IterableDataset` with possibly different features. I would like to then be able to stream the results in parallel (both using DDP and multiple workers in the pytorch DataLoader). I want the merge of datasets to be well balanced between the different ... | closed | https://github.com/huggingface/datasets/issues/7792 | null | 2025-09-26T10:05:19 | 2025-10-15T18:05:23 | 2025-10-15T18:05:23 | [
"# With `datasets.Dataset`\n\nHere is an small script that shows the distribution differences of samples between `interleave_datasets`, `concatenate_datasets` and `concatenate_datasets` + shuffling.\n\n```python\nimport datasets as hf_datasets\n\ndef gen(dataset: int, n_samples: int):\n for i in range(n_samples)... | false |
3,450,913,796 | 7,788 | `Dataset.to_sql` doesn't utilize `num_proc` | The underlying `SqlDatasetWriter` has `num_proc` as an available argument [here](https://github.com/huggingface/datasets/blob/5dc1a179783dff868b0547c8486268cfaea1ea1f/src/datasets/io/sql.py#L63) , but `Dataset.to_sql()` does not accept it, therefore it is always using one process for the SQL conversion. | open | https://github.com/huggingface/datasets/issues/7788 | null | 2025-09-24T20:34:47 | 2025-09-24T20:35:01 | null | [] | false |
3,429,267,259 | 7,780 | BIGPATENT dataset inaccessible (deprecated script loader) | dataset: https://huggingface.co/datasets/NortheasternUniversity/big_patent
When I try to load it with the datasets library, it fails with:
RuntimeError: Dataset scripts are no longer supported, but found big_patent.py
Could you please publish a Parquet/Arrow export of BIGPATENT on the Hugging Face so that it can be... | closed | https://github.com/huggingface/datasets/issues/7780 | null | 2025-09-18T08:25:34 | 2025-09-25T14:36:13 | 2025-09-25T14:36:13 | [
"Hi ! I opened https://huggingface.co/datasets/NortheasternUniversity/big_patent/discussions/7 to update the dataset, hopefully it's merged soon !",
"The dataset now works with `datasets` v4 ! closing this issue"
] | false |
3,424,462,082 | 7,777 | push_to_hub not overwriting but stuck in a loop when there are existing commits | ### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use push_to_hub, ran twice each time with different content for datasets.Dataset.
The... | closed | https://github.com/huggingface/datasets/issues/7777 | null | 2025-09-17T03:15:35 | 2025-09-17T19:31:14 | 2025-09-17T19:31:14 | [
"HTTP 412 means a commit happened in the meantime, so `get_deletions_and_dataset_card` has to retry to get the latest version of the dataset card and what files to delete based on the latest version of the dataset repository\n\nAre you running other operations in the dataset repo for your push_to_hub ?",
"There w... | false |
3,417,353,751 | 7,772 | Error processing scalar columns using tensorflow. | `datasets==4.0.0`
```
columns_to_return = ['input_ids','attention_mask', 'start_positions', 'end_positions']
train_ds.set_format(type='tf', columns=columns_to_return)
```
`train_ds`:
```
train_ds type: <class 'datasets.arrow_dataset.Dataset'>, shape: (1000, 9)
columns: ['question', 'sentences', 'answer', 'str_idx', 'en... | open | https://github.com/huggingface/datasets/issues/7772 | null | 2025-09-15T10:36:31 | 2025-09-27T08:22:44 | null | [
"Using tf.convert_to_tensor works fine:\n\n```\nimport tensorflow as tf\n\nstart_pos = tf.convert_to_tensor(train_ds['start_positions'], dtype=tf.int64)\nstart_pos = tf.reshape(start_pos, [-1, 1])\n```\n\n\nAlternatively, using the built-in to_tf_dataset also avoids the issue:\n\n```\ntrain_tf = train_ds.to_tf_data... | false |
3,411,654,444 | 7,767 | Custom `dl_manager` in `load_dataset` | ### Feature request
https://github.com/huggingface/datasets/blob/4.0.0/src/datasets/load.py#L1411-L1418
```
def load_dataset(
...
dl_manager: Optional[DownloadManager] = None, # add this new argument
**config_kwargs,
) -> Union[DatasetDict, Dataset, IterableDatasetDict, IterableDataset]:
...
# ... | open | https://github.com/huggingface/datasets/issues/7767 | null | 2025-09-12T19:06:23 | 2026-03-05T20:28:06 | null | [
"Any feedback from maintainers on this?"
] | false |
3,411,611,165 | 7,766 | cast columns to Image/Audio/Video with `storage_options` | ### Feature request
Allow `storage_options` to be passed in
1. `cast` related operations (e.g., `cast_columns, cast`)
2. `info` related reading (e.g., `from_dict, from_pandas, from_polars`) together with `info.features`
```python3
import datasets
image_path = "s3://bucket/sample.png"
dataset = datasets.Dataset.from_d... | open | https://github.com/huggingface/datasets/issues/7766 | null | 2025-09-12T18:51:01 | 2026-02-08T10:27:39 | null | [
"A",
"1",
"1",
"Ok",
"> ### Feature request\n> Allow `storage_options` to be passed in\n> \n> 1. `cast` related operations (e.g., `cast_columns, cast`)\n> 2. `info` related reading (e.g., `from_dict, from_pandas, from_polars`) together with `info.features`\n> \n> import datasets\n> \n> image_path = \"s3://b... | false |
3,411,556,378 | 7,765 | polars dataset cannot cast column to Image/Audio/Video | ### Describe the bug
`from_polars` dataset cannot cast column to Image/Audio/Video, while it works on `from_pandas` and `from_dict`
### Steps to reproduce the bug
```python3
import datasets
import pandas as pd
import polars as pl
image_path = "./sample.png"
# polars
df = pl.DataFrame({"image_path": [image_path]})
... | closed | https://github.com/huggingface/datasets/issues/7765 | null | 2025-09-12T18:32:49 | 2025-10-13T14:39:48 | 2025-10-13T14:39:48 | [
"I fixed this with a combination of `to_dict` and `from_dict`:\n\n```py\ndatasets.Dataset.from_dict(df.to_dict(as_series=False))\n```",
"@samuelstevens Yeah, I'm using similar workaround as well. But it would be ideal if we can avoid the copy."
] | false |
3,401,799,485 | 7,760 | Hugging Face Hub Dataset Upload CAS Error | ### Describe the bug
Experiencing persistent 401 Unauthorized errors when attempting to upload datasets to Hugging Face Hub using the `datasets` library. The error occurs specifically with the CAS (Content Addressable Storage) service during the upload process. Tried using HF_HUB_DISABLE_XET=1. It seems to work for sm... | open | https://github.com/huggingface/datasets/issues/7760 | null | 2025-09-10T10:01:19 | 2025-09-16T20:01:36 | null | [
"cc @jsulz maybe ?",
"Curious! I took a look at this and was unable to see why this would be occurring on our side. Tagging in @jgodlew and @bpronan since they might have insights. \n\n@n-bkoe just a few questions if you wouldn't mind: \n1. What kind of data are you uploading and what is the difference in file si... | false |
3,398,099,513 | 7,759 | Comment/feature request: Huggingface 502s from GHA | This is no longer a pressing issue, but for completeness I am reporting that in August 26th, GET requests to `https://datasets-server.huggingface.co/info\?dataset\=livebench/math` were returning 502s when invoked from [github actions](https://github.com/UKGovernmentBEIS/inspect_evals/actions/runs/17241892475/job/489211... | open | https://github.com/huggingface/datasets/issues/7759 | null | 2025-09-09T11:59:20 | 2025-09-09T13:02:28 | null | [] | false |
3,395,590,783 | 7,758 | Option for Anonymous Dataset link | ### Feature request
Allow for anonymized viewing of datasets. For instance, something similar to [Anonymous GitHub](https://anonymous.4open.science/).
### Motivation
We generally publish our data through Hugging Face. This has worked out very well as it's both our repository and archive (thanks to the DOI feature!).... | open | https://github.com/huggingface/datasets/issues/7758 | null | 2025-09-08T20:20:10 | 2026-07-08T10:43:11 | null | [
"I created this website for that particular purpose:\n\nWebsite: https://anonymous-hf.up.railway.app\n\nGitHub: https://github.com/MagedSaeed/anonymous-hf\n\nPlease give it a look and maybe a try if you like it."
] | false |
3,389,535,011 | 7,757 | Add support for `.conll` file format in datasets | ### Feature request
I’d like to request native support in the Hugging Face datasets library for reading .conll files (CoNLL format). This format is widely used in NLP tasks, especially for Named Entity Recognition (NER), POS tagging, and other token classification problems.
Right now `.conll` datasets need to be manu... | closed | https://github.com/huggingface/datasets/issues/7757 | null | 2025-09-06T07:25:39 | 2026-05-27T14:09:27 | 2026-05-27T14:09:27 | [
"That would be cool ! feel free to ping me if I can help reviewing a PR",
"hey @namesarnav , are you still planning to PR this? happy to coordinate or take it on otherwise. looks like a clean\n packaged_modules/conll/ builder following the csv/json/text pattern.\n\n @lhoestq , thanks for the pre-review offer. i... | false |
3,387,076,693 | 7,756 | datasets.map(f, num_proc=N) hangs with N>1 when run on import | ### Describe the bug
If you `import` a module that runs `datasets.map(f, num_proc=N)` at the top-level, Python hangs.
### Steps to reproduce the bug
1. Create a file that runs datasets.map at the top-level:
```bash
cat <<EOF > import_me.py
import datasets
the_dataset = datasets.load_dataset("openai/openai_humanev... | open | https://github.com/huggingface/datasets/issues/7756 | null | 2025-09-05T10:32:01 | 2026-01-27T12:58:35 | null | [
"Hii !! Frosh from India taking issue #7756. \n\nPlan - Add try/except multiprocessing. Start Method, Context + Fallback to num_proc = 1. \n\nForked, coding now... PR in a few "
] | false |
3,381,831,487 | 7,753 | datasets massively slows data reads, even in memory | ### Describe the bug
Loading image data in a huggingface dataset results in very slow read speeds, approximately 1000 times longer than reading the same data from a pytorch dataset. This applies even when the dataset is loaded into RAM using a `keep_in_memory=True` flag.
The following script reproduces the result wit... | open | https://github.com/huggingface/datasets/issues/7753 | null | 2025-09-04T01:45:24 | 2025-09-18T22:08:51 | null | [
"Hi ! you should try\n\n```python\nfrom datasets import Array3D, Dataset, Features, Value\n\nfeatures = Features({\"image\": Array3D(shape=(3, 224, 224), dtype=\"uint8\"), \"label\": Value(\"uint8\")})\nhf_dataset = Dataset.from_dict({'image': images, 'label':labels}, features=features)\n```\n\notherwise the type o... | false |
3,358,369,976 | 7,751 | Dill version update | ### Describe the bug
Why the datasets is not updating the dill ?
Just want to know if I update the dill version in dill what will be the repucssion.
For now in multiplaces I have to update the library like process requirequire dill 0.4.0 so why not datasets.
Adding a pr too.
### Steps to reproduce the bug
.
###... | open | https://github.com/huggingface/datasets/issues/7751 | null | 2025-08-27T07:38:30 | 2025-09-10T14:24:02 | null | [
"#7752 ",
"related: #7510 "
] | false |
3,345,391,211 | 7,746 | Fix: Canonical 'multi_news' dataset is broken and should be updated to a Parquet version | Hi,
The canonical `multi_news` dataset is currently broken and fails to load. This is because it points to the [alexfabri/multi_news](https://huggingface.co/datasets/alexfabbri/multi_news) repository, which contains a legacy loading script (`multi_news.py`) that requires the now-removed `trust_remote_code` parameter.... | open | https://github.com/huggingface/datasets/issues/7746 | null | 2025-08-22T12:52:03 | 2025-08-27T20:23:35 | null | [
"@sayakpaul @a-r-r-o-w could you verify this issue then i can contribute to solve this issue!😊"
] | false |
3,345,286,773 | 7,745 | Audio mono argument no longer supported, despite class documentation | ### Describe the bug
Either update the documentation, or re-introduce the flag (and corresponding logic to convert the audio to mono)
### Steps to reproduce the bug
Audio(sampling_rate=16000, mono=True) raises the error
TypeError: Audio.__init__() got an unexpected keyword argument 'mono'
However, in the class doc... | open | https://github.com/huggingface/datasets/issues/7745 | null | 2025-08-22T12:15:41 | 2026-05-10T11:51:16 | null | [
"I want to solve this problem can you please assign it to me\nand also can you please guide whether the mono parameter is required to be re-added or the documentation needs an update?",
"Hi! Triaging older issues — I think the docstring half of this is already resolved.\n\nOn current `main` (`datasets==4.8.6.dev0... | false |
3,343,510,686 | 7,744 | dtype: ClassLabel is not parsed correctly in `features.py` | `dtype: ClassLabel` in the README.md yaml metadata is parsed incorrectly and causes the data viewer to fail.
This yaml in my metadata ([source](https://huggingface.co/datasets/BrentLab/yeast_genome_resources/blob/main/README.md), though i changed `ClassLabel` to `string` to using different dtype in order to avoid the ... | closed | https://github.com/huggingface/datasets/issues/7744 | null | 2025-08-21T23:28:50 | 2025-09-10T15:23:41 | 2025-09-10T15:23:41 | [
"I think it's \"class_label\"",
"> I think it's \"class_label\"\n\nI see -- thank you. This works\n\n```yaml\nlicense: mit\nlanguage:\n- en\ntags:\n- genomics\n- yeast\n- transcription\n- perturbation\n- response\n- overexpression\npretty_name: Hackett, 2020 Overexpression\nsize_categories:\n- 1M<n<10M\ndataset_i... | false |
3,336,704,928 | 7,742 | module 'pyarrow' has no attribute 'PyExtensionType' | ### Describe the bug
When importing certain libraries, users will encounter the following error which can be traced back to the datasets library.
module 'pyarrow' has no attribute 'PyExtensionType'.
Example issue: https://github.com/explodinggradients/ragas/issues/2170
The issue occurs due to the following. I will ... | open | https://github.com/huggingface/datasets/issues/7742 | null | 2025-08-20T06:14:33 | 2025-09-09T02:51:46 | null | [
"Just checked out the files and thishad already been addressed",
"For others who find this issue: \n\n`pip install --upgrade \"datasets>=2.20.0\"` \n\nfrom https://github.com/explodinggradients/ragas/issues/2170#issuecomment-3204393672 can fix it."
] | false |
3,334,848,656 | 7,741 | Preserve tree structure when loading HDF5 | ### Feature request
https://github.com/huggingface/datasets/pull/7740#discussion_r2285605374
### Motivation
`datasets` has the `Features` class for representing nested features. HDF5 files have groups of datasets which are nested, though in #7690 the keys are flattened. We should preserve that structure for the user... | closed | https://github.com/huggingface/datasets/issues/7741 | null | 2025-08-19T15:42:05 | 2025-08-26T15:28:06 | 2025-08-26T15:28:06 | [] | false |
3,331,537,762 | 7,739 | Replacement of "Sequence" feature with "List" breaks backward compatibility | PR #7634 replaced the Sequence feature with List in 4.0.0, so datasets saved with version 4.0.0 with that feature cannot be loaded by earlier versions. There is no clear option in 4.0.0 to use the legacy feature type to preserve backward compatibility.
Why is this a problem? I have a complex preprocessing and training... | open | https://github.com/huggingface/datasets/issues/7739 | null | 2025-08-18T17:28:38 | 2025-09-10T14:17:50 | null | [
"Backward compatibility here means 4.0.0 can load datasets saved with older versions.\n\nYou will need 4.0.0 to load datasets saved with 4.0.0"
] | false |
3,328,948,690 | 7,738 | Allow saving multi-dimensional ndarray with dynamic shapes | ### Feature request
I propose adding a dedicated feature to the datasets library that allows for the efficient storage and retrieval of multi-dimensional ndarray with dynamic shapes. Similar to how Image columns handle variable-sized images, this feature would provide a structured way to store array data where the dim... | open | https://github.com/huggingface/datasets/issues/7738 | null | 2025-08-18T02:23:51 | 2026-02-27T23:01:28 | null | [
"I agree this would be super valuable.\n\nIt looks like this was discussed a few years ago in https://github.com/huggingface/datasets/issues/5272#issuecomment-1550200824 but there were some issues. Those PRs are merged now and it looks like Arrow [officially supports](https://arrow.apache.org/docs/format/CanonicalE... | false |
3,304,979,299 | 7,733 | Dataset Repo Paths to Locally Stored Images Not Being Appended to Image Path | ### Describe the bug
I’m not sure if this is a bug or a feature and I just don’t fully understand how dataset loading is to work, but it appears there may be a bug with how locally stored Image() are being accessed. I’ve uploaded a new dataset to hugging face (rmdig/rocky_mountain_snowpack) but I’ve come into a ton of... | closed | https://github.com/huggingface/datasets/issues/7733 | null | 2025-08-08T19:10:58 | 2025-10-07T04:47:36 | 2025-10-07T04:32:48 | [
"This is the download issues I come into, about ever other time it fails...\n<img width=\"1719\" height=\"1226\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/2e5b4b3e-7c13-4bad-a77c-34b47a932831\" />",
"I’m guessing this is just a feature so I’m going to close this thread. I also altered my load... | false |
3,304,673,383 | 7,732 | webdataset: key errors when `field_name` has upper case characters | ### Describe the bug
When using a webdataset each sample can be a collection of different "fields"
like this:
```
images17/image194.left.jpg
images17/image194.right.jpg
images17/image194.json
images17/image12.left.jpg
images17/image12.right.jpg
images17/image12.json
```
if the field_name contains upper case characte... | open | https://github.com/huggingface/datasets/issues/7732 | null | 2025-08-08T16:56:42 | 2025-08-08T16:56:42 | null | [] | false |
3,303,637,075 | 7,731 | Add the possibility of a backend for audio decoding | ### Feature request
Add the possibility of a backend for audio decoding. Before version 4.0.0, soundfile was used, and now torchcodec is used, but the problem is that torchcodec requires ffmpeg, which is problematic to install on the same colab. Therefore, I suggest adding a decoder selection when loading the dataset.... | open | https://github.com/huggingface/datasets/issues/7731 | null | 2025-08-08T11:08:56 | 2025-08-20T16:29:33 | null | [
"is there a work around im stuck",
"never mind just downgraded"
] | false |
3,300,672,954 | 7,729 | OSError: libcudart.so.11.0: cannot open shared object file: No such file or directory | > Hi is there any solution for that eror i try to install this one
pip install torch==1.12.1+cpu torchaudio==0.12.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
this is working fine but tell me how to install pytorch version that is fit for gpu | open | https://github.com/huggingface/datasets/issues/7729 | null | 2025-08-07T14:07:23 | 2025-09-24T02:17:15 | null | [
"Is this related to the \"datasets\" library? @SaleemMalikAI "
] | false |
3,298,854,904 | 7,728 | NonMatchingSplitsSizesError and ExpectedMoreSplitsError | ### Describe the bug
When loading dataset, the info specified by `data_files` did not overwrite the original info.
### Steps to reproduce the bug
```python
from datasets import load_dataset
traindata = load_dataset(
"allenai/c4",
"en",
data_files={"train": "en/c4-train.00000-of-... | open | https://github.com/huggingface/datasets/issues/7728 | null | 2025-08-07T04:04:50 | 2025-10-06T21:08:39 | null | [
"To load just one shard without errors, you should use data_files directly with split set to \"train\", but don’t specify \"allenai/c4\", since that points to the full dataset with all shards.\n\nInstead, do this:\n```\nfrom datasets import load_dataset\nfrom datasets import load_dataset\n\n# Load only one shard of... | false |
3,295,718,578 | 7,727 | config paths that start with ./ are not valid as hf:// accessed repos, but are valid when accessed locally | ### Describe the bug
```
- config_name: some_config
data_files:
- split: train
path:
- images/xyz/*.jpg
```
will correctly download but
```
- config_name: some_config
data_files:
- split: train
path:
- ./images/xyz/*.jpg
```
will error with `FileNotFoundError` due to improper url joining. `loa... | open | https://github.com/huggingface/datasets/issues/7727 | null | 2025-08-06T08:21:37 | 2026-06-11T21:42:25 | null | [
"Tracked this down: `resolve_pattern()` joins relative patterns onto the base path with `xjoin`, which keeps the `.` segments, and `HfFileSystem.glob` (like fsspec's generic glob) treats `.` as a literal directory name — so `hf://datasets/<repo>/./...` matches nothing, while `LocalFileSystem` normalizes the dot seg... | false |
3,292,315,241 | 7,724 | Can not stepinto load_dataset.py? | 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" --> | open | https://github.com/huggingface/datasets/issues/7724 | null | 2025-08-05T09:28:51 | 2025-08-05T09:28:51 | null | [] | false |
3,289,943,261 | 7,723 | Don't remove `trust_remote_code` arg!!! | ### 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... | open | https://github.com/huggingface/datasets/issues/7723 | null | 2025-08-04T15:42:07 | 2025-08-04T15:42:07 | null | [] | false |
3,289,741,064 | 7,722 | Out of memory even though using load_dataset(..., streaming=True) | ### 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... | open | https://github.com/huggingface/datasets/issues/7722 | null | 2025-08-04T14:41:55 | 2025-08-04T14:41:55 | null | [] | false |
3,289,426,104 | 7,721 | Bad split error message when using percentages | ### 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... | open | https://github.com/huggingface/datasets/issues/7721 | null | 2025-08-04T13:20:25 | 2025-08-14T14:42:24 | null | [
"I'd like to work on this: add clearer validation/messages for percent-based splits + tests",
"The most basic example is this code:\n`load_dataset(\"openslr/librispeech_asr\", split=\"train[10%:20%]\")`\n\nThis results in this ValueError:\n```\n raise ValueError(f'Unknown split \"{split}\". Should be one of {l... | false |
3,287,150,513 | 7,720 | Datasets 4.0 map function causing column not found | ### 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"... | open | https://github.com/huggingface/datasets/issues/7720 | null | 2025-08-03T12:52:34 | 2025-08-07T19:23:34 | null | [
"Hi, I tried to reproduce this issue on the latest `main` branch but it seems to be working correctly now. My test script (which creates a dummy dataset and applies the `.map()` function) successfully creates and accesses the new column without a `KeyError`.\n\nIt's possible this was fixed by a recent commit. The m... | false |
3,285,928,491 | 7,719 | Specify dataset columns types in typehint | ### 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... | open | https://github.com/huggingface/datasets/issues/7719 | null | 2025-08-02T13:22:31 | 2025-08-02T13:22:31 | null | [] | false |
3,282,855,127 | 7,717 | Cached dataset is not used when explicitly passing the cache_dir parameter | ### 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... | open | https://github.com/huggingface/datasets/issues/7717 | null | 2025-08-01T07:12:41 | 2025-08-05T19:19:36 | null | [
"Hi, I've investigated this issue and can confirm the bug. Here are my findings:\n\n**1. Reproduction:**\nI was able to reproduce the issue on the latest `main` branch. Using the provided code snippet, `snapshot_download` correctly populates the custom `cache_dir`, but `load_dataset` with the same `cache_dir` trigg... | false |
3,276,677,990 | 7,709 | Release 4.0.0 breaks usage patterns of with_format | ### 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... | closed | https://github.com/huggingface/datasets/issues/7709 | null | 2025-07-30T11:34:53 | 2025-08-07T08:27:18 | 2025-08-07T08:27:18 | [
"This is a breaking change with 4.0 which introduced `Column` objects. To get the numpy array from a `Column` you can `col[i]`, `col[i:j]` or even `col[:]` if you want the full column as a numpy array:\n\n```python\nfrom datasets import load_dataset\ndataset = load_dataset(...)\ndataset = dataset.with_format(\"nump... | false |
3,271,867,998 | 7,707 | load_dataset() in 4.0.0 failed when decoding audio | ### 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... | closed | https://github.com/huggingface/datasets/issues/7707 | null | 2025-07-29T03:25:03 | 2025-10-05T06:41:38 | 2025-08-01T05:15:45 | [
"Hi @lhoestq . Would you please have a look at it? I use the official NV Docker ([NV official docker image](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch): `nvcr.io/nvidia/pytorch:25.06-py3`) on A100 and encountered this issue, but I don't know how to fix it.",
"Use !pip install -U datasets[audio]... | false |
3,269,070,499 | 7,705 | Can Not read installed dataset in dataset.load(.) | 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... | open | https://github.com/huggingface/datasets/issues/7705 | null | 2025-07-28T09:43:54 | 2025-08-05T01:24:32 | null | [
"You can download the dataset locally using [huggingface_hub.snapshot_download](https://huggingface.co/docs/huggingface_hub/v0.34.3/en/package_reference/file_download#huggingface_hub.snapshot_download) and then do\n\n```python\ndataset = load_dataset(local_directory_path)\n```",
"> You can download the dataset lo... | false |
3,265,648,942 | 7,703 | [Docs] map() example uses undefined `tokenizer` — causes NameError | ## 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... | open | https://github.com/huggingface/datasets/issues/7703 | null | 2025-07-26T13:35:11 | 2025-07-27T09:44:35 | null | [
"I've submitted PR #7704 which adds documentation to clarify the behavior of `map()` when returning `None`."
] | false |
3,263,922,255 | 7,700 | [doc] map.num_proc needs clarification | 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... | open | https://github.com/huggingface/datasets/issues/7700 | null | 2025-07-25T17:35:09 | 2025-07-25T17:39:36 | null | [] | false |
3,261,053,171 | 7,699 | Broken link in documentation for "Create a video dataset" | 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" /> | open | https://github.com/huggingface/datasets/issues/7699 | null | 2025-07-24T19:46:28 | 2026-03-26T18:28:43 | null | [
"The URL is ok but it seems the webdataset website is down. There seems to be a related issue here: https://github.com/webdataset/webdataset/issues/155\n\nFeel free to ask the authors there for an update. Otherwise happy to witch the link to the mirror shared in that issue",
"I fixed this doc problem.\nPR link: h... | false |
3,255,350,916 | 7,698 | NotImplementedError when using streaming=True in Google Colab environment | ### 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... | open | https://github.com/huggingface/datasets/issues/7698 | null | 2025-07-23T08:04:53 | 2025-07-23T15:06:23 | null | [
"Hi, @Aniket17200, try upgrading datasets using '!pip install -U datasets'. I hope this will resolve your issue.",
"Thank you @tanuj-rai, it's working great "
] | false |
3,254,526,399 | 7,697 | - | - | closed | https://github.com/huggingface/datasets/issues/7697 | null | 2025-07-23T01:30:32 | 2025-07-25T15:21:39 | 2025-07-25T15:21:39 | [] | false |
3,253,433,350 | 7,696 | load_dataset() in 4.0.0 returns different audio samples compared to earlier versions breaking reproducibility | ### 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... | closed | https://github.com/huggingface/datasets/issues/7696 | null | 2025-07-22T17:02:17 | 2025-07-30T14:22:21 | 2025-07-30T14:22:21 | [
"Hi ! This is because `datasets` now uses the FFmpeg-based library `torchcodec` instead of the libsndfile-based library `soundfile` to decode audio data. Those two have different decoding implementations",
"I’m all for torchcodec, good luck with the migration!"
] | false |
3,247,600,408 | 7,694 | Dataset.to_json consumes excessive memory, appears to not be a streaming operation | ### 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 ... | open | https://github.com/huggingface/datasets/issues/7694 | null | 2025-07-21T07:51:25 | 2025-07-25T14:42:21 | null | [
"Hi ! to_json is memory efficient and writes the data by batch:\n\nhttps://github.com/huggingface/datasets/blob/d9861d86be222884dabbd534a2db770c70c9b558/src/datasets/io/json.py#L153-L159\n\nWhat memory are you mesuring ? If you are mesuring RSS, it is likely that it counts the memory mapped data of the dataset. Mem... | false |
3,246,369,678 | 7,693 | Dataset scripts are no longer supported, but found superb.py | ### 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 :
```
--------------------------------------------------------------------------
... | open | https://github.com/huggingface/datasets/issues/7693 | null | 2025-07-20T13:48:06 | 2026-04-14T14:09:54 | null | [
"I got a pretty similar issue when I try to load bigbio/neurotrial_ner dataset. \n`Dataset scripts are no longer supported, but found neurotrial_ner.py`",
"Same here. I was running this tutorial and got a similar error: https://github.com/openai/whisper/discussions/654 (I'm a first-time transformers library user)... | false |
3,246,268,635 | 7,692 | xopen: invalid start byte for streaming dataset with trust_remote_code=True | ### 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 ... | open | https://github.com/huggingface/datasets/issues/7692 | null | 2025-07-20T11:08:20 | 2025-07-25T14:38:54 | null | [
"Hi ! it would be cool to convert this dataset to Parquet. This will make it work for `datasets>=4.0`, enable the Dataset Viewer and make it more reliable to load/stream (currently it uses a loading script in python and those are known for having issues sometimes)\n\nusing `datasets==3.6.0`, here is the command to ... | false |
3,245,547,170 | 7,691 | Large WebDataset: pyarrow.lib.ArrowCapacityError on load() even with streaming | ### 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... | open | https://github.com/huggingface/datasets/issues/7691 | null | 2025-07-19T18:40:27 | 2025-07-25T08:51:10 | null | [
"It seems the error occurs right here, as it tries to infer the Features: https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/webdataset/webdataset.py#L78-L90",
"It seems to me that if we have something that is so large that it cannot fit in pa.table, the fallback method should be to j... | false |
3,242,580,301 | 7,689 | BadRequestError for loading dataset? | ### 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... | closed | https://github.com/huggingface/datasets/issues/7689 | null | 2025-07-18T09:30:04 | 2025-07-18T11:59:51 | 2025-07-18T11:52:29 | [
"Same here, for `HuggingFaceFW/fineweb`. Code that worked with no issues for the last 2 months suddenly fails today. Tried updating `datasets`, `huggingface_hub`, `fsspec` to newest versions, but the same error occurs.",
"I'm also hitting this issue, with `mandarjoshi/trivia_qa`; My dataset loading was working su... | false |
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