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 |
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