number int64 2 7.91k | title stringlengths 1 290 | body stringlengths 0 228k | state stringclasses 2
values | created_at timestamp[s]date 2020-04-14 18:18:51 2025-12-16 10:45:02 | updated_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 19:34:46 | closed_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 14:20:48 ⌀ | url stringlengths 48 51 | author stringlengths 3 26 ⌀ | comments_count int64 0 70 | labels listlengths 0 4 |
|---|---|---|---|---|---|---|---|---|---|---|
7,254 | mismatch for datatypes when providing `Features` with `Array2D` and user specified `dtype` and using with_format("numpy") | ### Describe the bug
If the user provides a `Features` type value to `datasets.Dataset` with members having `Array2D` with a value for `dtype`, it is not respected during `with_format("numpy")` which should return a `np.array` with `dtype` that the user provided for `Array2D`. It seems for floats, it will be set to `f... | OPEN | 2024-10-26T22:06:27 | 2024-10-26T22:07:37 | null | https://github.com/huggingface/datasets/issues/7254 | Akhil-CM | 1 | [] |
7,253 | Unable to upload a large dataset zip either from command line or UI | ### Describe the bug
Unable to upload a large dataset zip from command line or UI. UI simply says error. I am trying to a upload a tar.gz file of 17GB.
<img width="550" alt="image" src="https://github.com/user-attachments/assets/f9d29024-06c8-49c4-a109-0492cff79d34">
<img width="755" alt="image" src="https://githu... | OPEN | 2024-10-26T13:17:06 | 2024-10-26T13:17:06 | null | https://github.com/huggingface/datasets/issues/7253 | vakyansh | 0 | [] |
7,249 | How to debugging | ### Describe the bug
I wanted to use my own script to handle the processing, and followed the tutorial documentation by rewriting the MyDatasetConfig and MyDatasetBuilder (which contains the _info,_split_generators and _generate_examples methods) classes. Testing with simple data was able to output the results of the ... | OPEN | 2024-10-24T01:03:51 | 2024-10-24T01:03:51 | null | https://github.com/huggingface/datasets/issues/7249 | ShDdu | 0 | [] |
7,248 | ModuleNotFoundError: No module named 'datasets.tasks' | ### Describe the bug
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
[<ipython-input-9-13b5f31bd391>](https://bcb6shpazyu-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab_20241022-060119_R... | OPEN | 2024-10-23T21:58:25 | 2024-10-24T17:00:19 | null | https://github.com/huggingface/datasets/issues/7248 | shoowadoo | 2 | [] |
7,247 | Adding column with dict struction when mapping lead to wrong order | ### Describe the bug
in `map()` function, I want to add a new column with a dict structure.
```
def map_fn(example):
example['text'] = {'user': ..., 'assistant': ...}
return example
```
However this leads to a wrong order `{'assistant':..., 'user':...}` in the dataset.
Thus I can't concatenate two datasets ... | OPEN | 2024-10-22T18:55:11 | 2024-10-22T18:55:23 | null | https://github.com/huggingface/datasets/issues/7247 | chchch0109 | 0 | [] |
7,243 | ArrayXD with None as leading dim incompatible with DatasetCardData | ### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Array2D, Dataset, Features, load_dataset
def examples_generator():... | OPEN | 2024-10-21T15:08:13 | 2024-10-22T14:18:10 | null | https://github.com/huggingface/datasets/issues/7243 | alex-hh | 5 | [] |
7,241 | `push_to_hub` overwrite argument | ### Feature request
Add an `overwrite` argument to the `push_to_hub` method.
### Motivation
I want to overwrite a repo without deleting it on Hugging Face. Is this possible? I couldn't find anything in the documentation or tutorials.
### Your contribution
I can create a PR. | CLOSED | 2024-10-20T03:23:26 | 2024-10-24T17:39:08 | 2024-10-24T17:39:08 | https://github.com/huggingface/datasets/issues/7241 | ceferisbarov | 9 | [
"enhancement"
] |
7,238 | incompatibily issue when using load_dataset with datasets==3.0.1 | ### Describe the bug
There is a bug when using load_dataset with dataset version at 3.0.1 .
Please see below in the "steps to reproduce the bug".
To resolve the bug, I had to downgrade to version 2.21.0
OS: Ubuntu 24 (AWS instance)
Python: same bug under 3.12 and 3.10
The error I had was:
Traceback (most rec... | OPEN | 2024-10-18T21:25:23 | 2024-12-09T09:49:32 | null | https://github.com/huggingface/datasets/issues/7238 | jupiterMJM | 2 | [] |
7,233 | 数据集数量问题 | ### Describe the bug
这里我进行大模型微调，当数据集数量为718时，模型可以正常微调，但是当我添加一个在前718个数据集中的数据或者新增一个数据就会报错
### Steps to reproduce the bug
1.
这里我的数据集可以微调的最后两个数据集是：
{
"messages": [
{
"role": "user",
"content": "完成校正装置设计后需要进行哪些工作？"
},
{
"role": "assistant",
"content": "一旦完成校正装置设计后，需要进行系统实际调校... | OPEN | 2024-10-17T07:41:44 | 2024-10-17T07:41:44 | null | https://github.com/huggingface/datasets/issues/7233 | want-well | 0 | [] |
7,228 | Composite (multi-column) features | ### Feature request
Structured data types (graphs etc.) might often be most efficiently stored as multiple columns, which then need to be combined during feature decoding
Although it is currently possible to nest features as structs, my impression is that in particular when dealing with e.g. a feature composed of... | OPEN | 2024-10-14T23:59:19 | 2024-10-15T11:17:15 | null | https://github.com/huggingface/datasets/issues/7228 | alex-hh | 0 | [
"enhancement"
] |
7,226 | Add R as a How to use from the Polars (R) Library as an option | ### Feature request
The boiler plate code to access a dataset via the hugging face file system is very useful. Please addd
## Add Polars (R) option
The equivailent code works, because the [Polars-R](https://github.com/pola-rs/r-polars) wrapper has hugging faces funcitonaliy as well.
```r
library(polars)
... | OPEN | 2024-10-14T19:56:07 | 2024-10-14T19:57:13 | null | https://github.com/huggingface/datasets/issues/7226 | ran-codes | 0 | [
"enhancement"
] |
7,225 | Huggingface GIT returns null as Content-Type instead of application/x-git-receive-pack-result | ### Describe the bug
We push changes to our datasets programmatically. Our git client jGit reports that the hf git server returns null as Content-Type after a push.
### Steps to reproduce the bug
A basic kotlin application:
```
val person = PersonIdent(
"padmalcom",
"padmalcom@sth.com"
)
... | OPEN | 2024-10-14T14:33:06 | 2024-10-14T14:33:06 | null | https://github.com/huggingface/datasets/issues/7225 | padmalcom | 0 | [] |
7,223 | Fallback to arrow defaults when loading dataset with custom features that aren't registered locally | ### Describe the bug
Datasets allows users to create and register custom features.
However if datasets are then pushed to the hub, this means that anyone calling load_dataset without registering the custom Features in the same way as the dataset creator will get an error message.
It would be nice to offer a fall... | OPEN | 2024-10-12T16:08:20 | 2024-10-12T16:08:20 | null | https://github.com/huggingface/datasets/issues/7223 | alex-hh | 0 | [] |
7,222 | TypeError: Couldn't cast array of type string to null in long json | ### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently, if al... | OPEN | 2024-10-12T08:14:59 | 2025-09-26T11:54:48 | null | https://github.com/huggingface/datasets/issues/7222 | nokados | 6 | [] |
7,220 | Custom features not compatible with special encoding/decoding logic | ### Describe the bug
It is possible to register custom features using datasets.features.features.register_feature (https://github.com/huggingface/datasets/pull/6727)
However such features are not compatible with Features.encode_example/decode_example if they require special encoding / decoding logic because encod... | OPEN | 2024-10-11T19:20:11 | 2024-11-08T15:10:58 | null | https://github.com/huggingface/datasets/issues/7220 | alex-hh | 2 | [] |
7,217 | ds.map(f, num_proc=10) is slower than df.apply | ### Describe the bug
pandas columns: song_id, song_name
ds = Dataset.from_pandas(df)
def has_cover(song_name):
if song_name is None or pd.isna(song_name):
return False
return 'cover' in song_name.lower()
df['has_cover'] = df.song_name.progress_apply(has_cover)
ds = ds.map(lambda x: {'has_cov... | OPEN | 2024-10-11T11:04:05 | 2025-02-28T21:21:01 | null | https://github.com/huggingface/datasets/issues/7217 | lanlanlanlanlanlan365 | 3 | [] |
7,215 | Iterable dataset map with explicit features causes slowdown for Sequence features | ### Describe the bug
When performing map, it's nice to be able to pass the new feature type, and indeed required by interleave and concatenate datasets.
However, this can cause a major slowdown for certain types of array features due to the features being re-encoded.
This is separate to the slowdown reported i... | OPEN | 2024-10-10T22:08:20 | 2024-10-10T22:10:32 | null | https://github.com/huggingface/datasets/issues/7215 | alex-hh | 0 | [] |
7,214 | Formatted map + with_format(None) changes array dtype for iterable datasets | ### Describe the bug
When applying with_format -> map -> with_format(None), array dtypes seem to change, even if features are passed
### Steps to reproduce the bug
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32")})
dataset = Dataset.from_dict({f"array0": [np.zeros((100,10,10... | OPEN | 2024-10-10T12:45:16 | 2024-10-12T16:55:57 | null | https://github.com/huggingface/datasets/issues/7214 | alex-hh | 1 | [] |
7,213 | Add with_rank to Dataset.from_generator | ### Feature request
Add `with_rank` to `Dataset.from_generator` similar to `Dataset.map` and `Dataset.filter`.
### Motivation
As for `Dataset.map` and `Dataset.filter`, this is useful when creating cache files using multi-GPU, where the rank can be used to select GPU IDs. For now, rank can be added in the `ge... | OPEN | 2024-10-10T12:15:29 | 2024-10-10T12:17:11 | null | https://github.com/huggingface/datasets/issues/7213 | muthissar | 0 | [
"enhancement"
] |
7,212 | Windows do not supprot signal.alarm and singal.signal | ### Describe the bug
signal.alarm and signal.signal are used in the load.py module, but these are not supported by Windows.
### Steps to reproduce the bug
lighteval accelerate --model_args "pretrained=gpt2,trust_remote_code=True" --tasks "community|kinit_sts" --custom_tasks "community_tasks/kinit_evals.py" --output... | OPEN | 2024-10-10T12:00:19 | 2024-10-10T12:00:19 | null | https://github.com/huggingface/datasets/issues/7212 | TomasJavurek | 0 | [] |
7,211 | Describe only selected fields in README | ### Feature request
Hi Datasets team!
Is it possible to add the ability to describe only selected fields of the dataset files in `README.md`? For example, I have this open dataset ([open-llm-leaderboard/results](https://huggingface.co/datasets/open-llm-leaderboard/results?row=0)) and I want to describe only some f... | OPEN | 2024-10-09T16:25:47 | 2024-10-09T16:25:47 | null | https://github.com/huggingface/datasets/issues/7211 | alozowski | 0 | [
"enhancement"
] |
7,210 | Convert Array features to numpy arrays rather than lists by default | ### Feature request
It is currently quite easy to cause massive slowdowns when using datasets and not familiar with the underlying data conversions by e.g. making bad choices of formatting.
Would it be more user-friendly to set defaults that avoid this as much as possible? e.g. format Array features as numpy arrays... | OPEN | 2024-10-09T13:05:21 | 2024-10-09T13:05:21 | null | https://github.com/huggingface/datasets/issues/7210 | alex-hh | 0 | [
"enhancement"
] |
7,208 | Iterable dataset.filter should not override features | ### Describe the bug
When calling filter on an iterable dataset, the features get set to None
### Steps to reproduce the bug
import numpy as np
import time
from datasets import Dataset, Features, Array3D
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32"), "array1": Array3D((None,... | CLOSED | 2024-10-09T10:23:45 | 2024-10-09T16:08:46 | 2024-10-09T16:08:45 | https://github.com/huggingface/datasets/issues/7208 | alex-hh | 1 | [] |
7,206 | Slow iteration for iterable dataset with numpy formatting for array data | ### Describe the bug
When working with large arrays, setting with_format to e.g. numpy then applying map causes a significant slowdown for iterable datasets.
### Steps to reproduce the bug
```python
import numpy as np
import time
from datasets import Dataset, Features, Array3D
features=Features(**{"array... | OPEN | 2024-10-08T15:38:11 | 2024-10-17T17:14:52 | null | https://github.com/huggingface/datasets/issues/7206 | alex-hh | 1 | [] |
7,202 | `from_parquet` return type annotation | ### Describe the bug
As already posted in https://github.com/microsoft/pylance-release/issues/6534, the correct type hinting fails when building a dataset using the `from_parquet` constructor.
Their suggestion is to comprehensively annotate the method's return type to better align with the docstring information.
###... | OPEN | 2024-10-08T09:08:10 | 2024-10-08T09:08:10 | null | https://github.com/huggingface/datasets/issues/7202 | saiden89 | 0 | [] |
7,201 | `load_dataset()` of images from a single directory where `train.png` image exists | ### Describe the bug
Hey!
Firstly, thanks for maintaining such framework!
I had a small issue, where I wanted to load a custom dataset of image+text captioning. I had all of my images in a single directory, and one of the images had the name `train.png`. Then, the loaded dataset had only this image.
I guess it'... | OPEN | 2024-10-07T09:14:17 | 2024-10-07T09:14:17 | null | https://github.com/huggingface/datasets/issues/7201 | SagiPolaczek | 0 | [] |
7,197 | ConnectionError: Couldn't reach 'allenai/c4' on the Hub (ConnectionError)数据集下不下来，怎么回事 | ### Describe the bug
from datasets import load_dataset
print("11")
traindata = load_dataset('ptb_text_only', 'penn_treebank', split='train')
print("22")
valdata = load_dataset('ptb_text_only',
'penn_treebank',
split='validation')
### Steps to reproduce the b... | OPEN | 2024-10-04T09:33:25 | 2025-02-26T02:26:16 | null | https://github.com/huggingface/datasets/issues/7197 | Mrgengli | 2 | [] |
7,196 | concatenate_datasets does not preserve shuffling state | ### Describe the bug
After concatenate datasets on an iterable dataset, the shuffling state is destroyed, similar to #7156
This means concatenation cant be used for resolving uneven numbers of samples across devices when using iterable datasets in a distributed setting as discussed in #6623
I also noticed th... | OPEN | 2024-10-03T14:30:38 | 2025-03-18T10:56:47 | null | https://github.com/huggingface/datasets/issues/7196 | alex-hh | 1 | [] |
7,195 | Add support for 3D datasets | See https://huggingface.co/datasets/allenai/objaverse for example | OPEN | 2024-10-03T13:27:44 | 2024-10-04T09:23:36 | null | https://github.com/huggingface/datasets/issues/7195 | severo | 3 | [
"enhancement"
] |
7,194 | datasets.exceptions.DatasetNotFoundError for private dataset | ### Describe the bug
The following Python code tries to download a private dataset and fails with the error `datasets.exceptions.DatasetNotFoundError: Dataset 'ClimatePolicyRadar/all-document-text-data-weekly' doesn't exist on the Hub or cannot be accessed.`. Downloading a public dataset doesn't work.
``` py
fro... | CLOSED | 2024-10-03T07:49:36 | 2024-10-03T10:09:28 | 2024-10-03T10:09:28 | https://github.com/huggingface/datasets/issues/7194 | kdutia | 2 | [] |
7,193 | Support of num_workers (multiprocessing) in map for IterableDataset | ### Feature request
Currently, IterableDataset doesn't support setting num_worker in .map(), which results in slow processing here. Could we add support for it? As .map() can be run in the batch fashion (e.g., batch_size is default to 1000 in datasets), it seems to be doable for IterableDataset as the regular Dataset.... | OPEN | 2024-10-02T18:34:04 | 2024-10-03T09:54:15 | null | https://github.com/huggingface/datasets/issues/7193 | getao | 1 | [
"enhancement"
] |
7,192 | Add repeat() for iterable datasets | ### Feature request
It would be useful to be able to straightforwardly repeat iterable datasets indefinitely, to provide complete control over starting and ending of iteration to the user.
An IterableDataset.repeat(n) function could do this automatically
### Motivation
This feature was discussed in this iss... | CLOSED | 2024-10-02T17:48:13 | 2025-03-18T10:48:33 | 2025-03-18T10:48:32 | https://github.com/huggingface/datasets/issues/7192 | alex-hh | 3 | [
"enhancement"
] |
7,190 | Datasets conflicts with fsspec 2024.9 | ### Describe the bug
Installing both in latest versions are not possible
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
But using older version of datasets is ok
`pip install "datasets==1.24.4" "fsspec==2024.9.0"`
### Steps to reproduce the bug
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
#... | OPEN | 2024-10-02T16:43:46 | 2024-10-10T07:33:18 | null | https://github.com/huggingface/datasets/issues/7190 | cw-igormorgado | 1 | [] |
7,189 | Audio preview in dataset viewer for audio array data without a path/filename | ### Feature request
Huggingface has quite a comprehensive set of guides for [audio datasets](https://huggingface.co/docs/datasets/en/audio_dataset). It seems, however, all these guides assume the audio array data to be decoded/inserted into a HF dataset always originates from individual files. The [Audio-dataclass](... | OPEN | 2024-10-02T16:38:38 | 2024-10-02T17:01:40 | null | https://github.com/huggingface/datasets/issues/7189 | Lauler | 0 | [
"enhancement"
] |
7,187 | shard_data_sources() got an unexpected keyword argument 'worker_id' | ### Describe the bug
```
[rank0]: File "/home/qinghao/miniconda3/envs/doremi/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 238, in __iter__
[rank0]: for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None):
[rank0]: File "/home/qinghao/miniconda3/en... | OPEN | 2024-10-02T01:26:35 | 2024-10-02T01:26:35 | null | https://github.com/huggingface/datasets/issues/7187 | Qinghao-Hu | 0 | [] |
7,186 | pinning `dill<0.3.9` without pinning `multiprocess` | ### Describe the bug
The [latest `multiprocess` release](https://github.com/uqfoundation/multiprocess/releases/tag/0.70.17) requires `dill>=0.3.9` which causes issues when installing `datasets` without backtracking during package version resolution. Is it possible to add a pin for multiprocess so something like `multi... | CLOSED | 2024-10-01T22:29:32 | 2024-10-02T06:08:24 | 2024-10-02T06:08:24 | https://github.com/huggingface/datasets/issues/7186 | shubhbapna | 0 | [] |
7,185 | CI benchmarks are broken | Since Aug 30, 2024, CI benchmarks are broken: https://github.com/huggingface/datasets/actions/runs/11108421214/job/30861323975
```
{"level":"error","message":"Resource not accessible by integration","name":"HttpError","request":{"body":"{\"body\":\"<details>\\n<summary>Show benchmarks</summary>\\n\\nPyArrow==8.0.0\\n... | CLOSED | 2024-10-01T08:16:08 | 2024-10-09T16:07:48 | 2024-10-09T16:07:48 | https://github.com/huggingface/datasets/issues/7185 | albertvillanova | 1 | [
"maintenance"
] |
7,183 | CI is broken for deps-latest | See: https://github.com/huggingface/datasets/actions/runs/11106149906/job/30853879890
```
=========================== short test summary info ============================
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_filter_caching_on_disk - AssertionError: Lists differ: [{'fi[44 chars] {'filename': '/... | CLOSED | 2024-09-30T14:02:07 | 2024-09-30T14:38:58 | 2024-09-30T14:38:58 | https://github.com/huggingface/datasets/issues/7183 | albertvillanova | 0 | [] |
7,180 | Memory leak when wrapping datasets into PyTorch Dataset without explicit deletion | ### Describe the bug
I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.
### Steps to reproduce the bug
Steps to reproduce:
Create a PyTorch Dataset wrapper f... | CLOSED | 2024-09-28T14:00:47 | 2024-09-30T12:07:56 | 2024-09-30T12:07:56 | https://github.com/huggingface/datasets/issues/7180 | iamwangyabin | 1 | [] |
7,178 | Support Python 3.11 | Support Python 3.11: https://peps.python.org/pep-0664/ | CLOSED | 2024-09-27T08:50:47 | 2024-10-08T16:21:04 | 2024-10-08T16:21:04 | https://github.com/huggingface/datasets/issues/7178 | albertvillanova | 0 | [
"enhancement"
] |
7,175 | [FSTimeoutError] load_dataset | ### Describe the bug
When using `load_dataset`to load [HuggingFaceM4/VQAv2](https://huggingface.co/datasets/HuggingFaceM4/VQAv2), I am getting `FSTimeoutError`.
### Error
```
TimeoutError:
The above exception was the direct cause of the following exception:
FSTimeoutError Trac... | CLOSED | 2024-09-26T15:42:29 | 2025-02-01T09:09:35 | 2024-09-30T17:28:35 | https://github.com/huggingface/datasets/issues/7175 | cosmo3769 | 7 | [] |
7,171 | CI is broken: No solution found when resolving dependencies | See: https://github.com/huggingface/datasets/actions/runs/11046967444/job/30687294297
```
Run uv pip install --system -r additional-tests-requirements.txt --no-deps
× No solution found when resolving dependencies:
╰─▶ Because the current Python version (3.8.18) does not satisfy Python>=3.9
and torchdata=... | CLOSED | 2024-09-26T07:24:58 | 2024-09-26T08:05:41 | 2024-09-26T08:05:41 | https://github.com/huggingface/datasets/issues/7171 | albertvillanova | 0 | [
"bug"
] |
7,169 | JSON lines with missing columns raise CastError | JSON lines with missing columns raise CastError:
> CastError: Couldn't cast ... to ... because column names don't match
Related to:
- #7159
- #7161 | CLOSED | 2024-09-25T04:43:28 | 2024-09-26T06:42:08 | 2024-09-26T06:42:08 | https://github.com/huggingface/datasets/issues/7169 | albertvillanova | 0 | [
"bug"
] |
7,168 | sd1.5 diffusers controlnet training script gives new error | ### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1041, in main
... | CLOSED | 2024-09-25T01:42:49 | 2025-09-16T15:38:01 | 2024-09-30T05:24:02 | https://github.com/huggingface/datasets/issues/7168 | Night1099 | 5 | [] |
7,167 | Error Mapping on sd3, sdxl and upcoming flux controlnet training scripts in diffusers | ### Describe the bug
```
Map: 6%|██████ | 8000/138120 [19:27<5:16:36, 6.85 examples/s]
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet_sd3.py", line 1416, in <mod... | CLOSED | 2024-09-25T01:39:51 | 2024-09-30T05:28:15 | 2024-09-30T05:28:04 | https://github.com/huggingface/datasets/issues/7167 | Night1099 | 1 | [] |
7,164 | fsspec.exceptions.FSTimeoutError when downloading dataset | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
> Dow... | CLOSED | 2024-09-24T08:45:05 | 2025-07-28T14:58:49 | 2025-07-28T14:58:49 | https://github.com/huggingface/datasets/issues/7164 | timonmerk | 7 | [] |
7,163 | Set explicit seed in iterable dataset ddp shuffling example | ### Describe the bug
In the examples section of the iterable dataset docs https://huggingface.co/docs/datasets/en/package_reference/main_classes#datasets.IterableDataset
the ddp example shuffles without seeding
```python
from datasets.distributed import split_dataset_by_node
ids = ds.to_iterable_dataset(num_sh... | CLOSED | 2024-09-23T11:34:06 | 2024-09-24T14:40:15 | 2024-09-24T14:40:15 | https://github.com/huggingface/datasets/issues/7163 | alex-hh | 1 | [] |
7,161 | JSON lines with empty struct raise ArrowTypeError | JSON lines with empty struct raise ArrowTypeError: struct fields don't match or are in the wrong order
See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
> ArrowTypeError: struct fields don't match or are in the wrong order: Input fields: struct<> output fields: struct<pov_c... | CLOSED | 2024-09-23T08:48:56 | 2024-09-25T04:43:44 | 2024-09-23T11:30:07 | https://github.com/huggingface/datasets/issues/7161 | albertvillanova | 0 | [
"bug"
] |
7,159 | JSON lines with missing struct fields raise TypeError: Couldn't cast array | JSON lines with missing struct fields raise TypeError: Couldn't cast array of type.
See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
One would expect that the struct missing fields are added with null values. | CLOSED | 2024-09-23T07:57:58 | 2024-10-21T08:07:07 | 2024-09-23T11:09:18 | https://github.com/huggingface/datasets/issues/7159 | albertvillanova | 1 | [
"bug"
] |
7,156 | interleave_datasets resets shuffle state | ### Describe the bug
```
import datasets
import torch.utils.data
def gen(shards):
yield {"shards": shards}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={'shards': list(range(25))}
)
dataset = dataset.shuffle(buffer_size=1)
dataset... | OPEN | 2024-09-20T17:57:54 | 2025-03-18T10:56:25 | null | https://github.com/huggingface/datasets/issues/7156 | jonathanasdf | 1 | [] |
7,155 | Dataset viewer not working! Failure due to more than 32 splits. | Hello guys,
I have a dataset and I didn't know I couldn't upload more than 32 splits. Now, my dataset viewer is not working. I don't have the dataset locally on my node anymore and recreating would take a week. And I have to publish the dataset coming Monday. I read about the practice, how I can resolve it and avoi... | CLOSED | 2024-09-18T12:43:21 | 2024-09-18T13:20:03 | 2024-09-18T13:20:03 | https://github.com/huggingface/datasets/issues/7155 | sleepingcat4 | 1 | [] |
7,153 | Support data files with .ndjson extension | ### Feature request
Support data files with `.ndjson` extension.
### Motivation
We already support data files with `.jsonl` extension.
### Your contribution
I am opening a PR. | CLOSED | 2024-09-18T05:54:45 | 2024-09-19T11:25:15 | 2024-09-19T11:25:15 | https://github.com/huggingface/datasets/issues/7153 | albertvillanova | 0 | [
"enhancement"
] |
7,150 | WebDataset loader splits keys differently than WebDataset library | As reported by @ragavsachdeva (see discussion here: https://github.com/huggingface/datasets/pull/7144#issuecomment-2348307792), our webdataset loader is not aligned with the `webdataset` library when splitting keys from filenames.
For example, we get a different key splitting for filename `/some/path/22.0/1.1.png`:
... | CLOSED | 2024-09-16T06:02:47 | 2024-09-16T15:26:35 | 2024-09-16T15:26:35 | https://github.com/huggingface/datasets/issues/7150 | albertvillanova | 0 | [
"bug"
] |
7,149 | Datasets Unknown Keyword Argument Error - task_templates | ### Describe the bug
Issue
```python
from datasets import load_dataset
examples = load_dataset('facebook/winoground', use_auth_token=<YOUR USER ACCESS TOKEN>)
```
Gives error
```
TypeError: DatasetInfo.__init__() got an unexpected keyword argument 'task_templates'
```
A simple downgrade to lower `data... | CLOSED | 2024-09-13T10:30:57 | 2025-03-06T07:11:55 | 2024-09-13T14:10:48 | https://github.com/huggingface/datasets/issues/7149 | varungupta31 | 3 | [] |
7,148 | Bug: Error when downloading mteb/mtop_domain | ### Describe the bug
When downloading the dataset "mteb/mtop_domain", ran into the following error:
```
Traceback (most recent call last):
File "/share/project/xzy/test/test_download.py", line 3, in <module>
data = load_dataset("mteb/mtop_domain", "en", trust_remote_code=True)
File "/opt/conda/lib/pytho... | CLOSED | 2024-09-13T04:09:39 | 2024-09-14T15:11:35 | 2024-09-14T15:11:35 | https://github.com/huggingface/datasets/issues/7148 | ZiyiXia | 4 | [] |
7,147 | IterableDataset strange deadlock | ### Describe the bug
```
import datasets
import torch.utils.data
num_shards = 1024
def gen(shards):
for shard in shards:
if shard < 25:
yield {"shard": shard}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={"shards": lis... | CLOSED | 2024-09-12T18:59:33 | 2024-09-23T09:32:27 | 2024-09-21T17:37:34 | https://github.com/huggingface/datasets/issues/7147 | jonathanasdf | 6 | [] |
7,142 | Specifying datatype when adding a column to a dataset. | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | CLOSED | 2024-09-08T07:34:24 | 2024-09-17T03:46:32 | 2024-09-17T03:46:32 | https://github.com/huggingface/datasets/issues/7142 | varadhbhatnagar | 1 | [
"enhancement"
] |
7,141 | Older datasets throwing safety errors with 2.21.0 | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | CLOSED | 2024-09-06T16:26:30 | 2024-09-06T21:14:14 | 2024-09-06T19:09:29 | https://github.com/huggingface/datasets/issues/7141 | alvations | 17 | [] |
7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | ### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | OPEN | 2024-09-05T15:12:22 | 2024-10-09T04:02:41 | null | https://github.com/huggingface/datasets/issues/7139 | fscdc | 2 | [] |
7,138 | Cache only changed columns? | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | OPEN | 2024-09-05T12:56:47 | 2024-09-20T13:27:20 | null | https://github.com/huggingface/datasets/issues/7138 | Modexus | 2 | [
"enhancement"
] |
7,137 | [BUG] dataset_info sequence unexpected behavior in README.md YAML | ### Describe the bug
When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | CLOSED | 2024-09-05T06:06:06 | 2025-07-07T09:20:29 | 2025-07-04T19:50:59 | https://github.com/huggingface/datasets/issues/7137 | ain-soph | 3 | [] |
7,135 | Bug: Type Mismatch in Dataset Mapping | # Issue: Type Mismatch in Dataset Mapping
## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | OPEN | 2024-09-03T16:37:01 | 2024-09-05T14:09:05 | null | https://github.com/huggingface/datasets/issues/7135 | marko1616 | 3 | [] |
7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | ### Describe the bug
Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | OPEN | 2024-09-01T13:55:41 | 2024-09-02T10:34:53 | null | https://github.com/huggingface/datasets/issues/7134 | navidmafi | 0 | [] |
7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | In the documentation for [ClassLabel](https://huggingface.co/docs/datasets/v2.21.0/en/package_reference/main_classes#datasets.ClassLabel), there is an example of usage with the following code:
````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
... | CLOSED | 2024-08-28T12:27:48 | 2024-12-06T11:32:02 | 2024-12-06T11:32:02 | https://github.com/huggingface/datasets/issues/7129 | sergiopaniego | 0 | [] |
7,128 | Filter Large Dataset Entry by Entry | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | OPEN | 2024-08-27T20:31:09 | 2024-10-07T23:37:44 | null | https://github.com/huggingface/datasets/issues/7128 | QiyaoWei | 4 | [
"enhancement"
] |
7,127 | Caching shuffles by np.random.Generator results in unintiutive behavior | ### Describe the bug
Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | OPEN | 2024-08-26T10:29:48 | 2025-07-28T11:00:00 | null | https://github.com/huggingface/datasets/issues/7127 | el-hult | 2 | [] |
7,123 | Make dataset viewer more flexible in displaying metadata alongside images | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | OPEN | 2024-08-23T22:56:01 | 2024-10-17T09:13:47 | null | https://github.com/huggingface/datasets/issues/7123 | egrace479 | 3 | [
"enhancement"
] |
7,122 | [interleave_dataset] sample batches from a single source at a time | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | OPEN | 2024-08-23T07:21:15 | 2024-08-23T07:21:15 | null | https://github.com/huggingface/datasets/issues/7122 | memray | 0 | [
"enhancement"
] |
7,117 | Audio dataset load everything in RAM and is very slow | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | OPEN | 2024-08-20T21:18:12 | 2024-08-26T13:11:55 | null | https://github.com/huggingface/datasets/issues/7117 | Jourdelune | 3 | [] |
7,116 | datasets cannot handle nested json if features is given. | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | CLOSED | 2024-08-20T12:27:49 | 2024-09-03T10:18:23 | 2024-09-03T10:18:07 | https://github.com/huggingface/datasets/issues/7116 | ljw20180420 | 3 | [] |
7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | CLOSED | 2024-08-20T11:05:44 | 2024-09-10T06:51:08 | 2024-09-10T06:51:08 | https://github.com/huggingface/datasets/issues/7115 | neurafusionai | 1 | [] |
7,113 | Stream dataset does not iterate if the batch size is larger than the dataset size (related to drop_last_batch) | ### Describe the bug
Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after I upgr... | CLOSED | 2024-08-20T08:26:40 | 2024-08-26T04:24:11 | 2024-08-26T04:24:10 | https://github.com/huggingface/datasets/issues/7113 | memray | 1 | [] |
7,112 | cudf-cu12 24.4.1, ibis-framework 8.0.0 requires pyarrow<15.0.0a0,>=14.0.1,pyarrow<16,>=2 and datasets 2.21.0 requires pyarrow>=15.0.0 | ### Describe the bug
!pip install accelerate>=0.16.0 torchvision transformers>=4.25.1 datasets>=2.19.1 ftfy tensorboard Jinja2 peft==0.7.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
c... | OPEN | 2024-08-20T08:13:55 | 2024-09-20T15:30:03 | null | https://github.com/huggingface/datasets/issues/7112 | SoumyaMB10 | 2 | [] |
7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | Ci is broken with error `Failed to fetch wheel: llvmlite==0.34.0`: https://github.com/huggingface/datasets/actions/runs/10466825281/job/28984414269
```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | CLOSED | 2024-08-20T07:27:28 | 2024-08-21T05:05:36 | 2024-08-20T09:02:36 | https://github.com/huggingface/datasets/issues/7111 | albertvillanova | 2 | [] |
7,109 | ConnectionError for gated datasets and unauthenticated users | Since the Hub returns dataset info for gated datasets and unauthenticated users, there is dead code: https://github.com/huggingface/datasets/blob/98fdc9e78e6d057ca66e58a37f49d6618aab8130/src/datasets/load.py#L1846-L1852
We should remove the dead code and properly handle this case: currently we are raising a `Connect... | CLOSED | 2024-08-19T13:27:45 | 2024-08-20T09:14:36 | 2024-08-20T09:14:35 | https://github.com/huggingface/datasets/issues/7109 | albertvillanova | 0 | [] |
7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | ### Describe the bug
This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
![Screenshot 2024-08-16 at 15 55 37](https://github.... | CLOSED | 2024-08-16T17:23:00 | 2024-08-19T13:21:12 | 2024-08-19T06:52:48 | https://github.com/huggingface/datasets/issues/7108 | neoneye | 4 | [] |
7,107 | load_dataset broken in 2.21.0 | ### Describe the bug
`eval_set = datasets.load_dataset("tatsu-lab/alpaca_eval", "alpaca_eval_gpt4_baseline", trust_remote_code=True)`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
 | ### Describe the bug
When I load a dataset from a number of arrow files, as in:
```
random_dataset = load_dataset(
"arrow",
data_files={split: shard_filepaths},
streaming=True,
split=split,
)
```
I'm able to get fast iteration speeds when iterating over the dataset without shuffling.
... | OPEN | 2024-08-14T21:44:44 | 2024-08-15T16:17:31 | null | https://github.com/huggingface/datasets/issues/7102 | lajd | 2 | [] |
7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | Following [documentation](https://huggingface.co/docs/datasets/repository_structure#define-your-splits-and-subsets-in-yaml) I had defined different configs for [`Dataception`](https://huggingface.co/datasets/bigdata-pw/Dataception), a dataset of datasets:
```yaml
configs:
- config_name: dataception
data_files:
... | OPEN | 2024-08-14T18:12:25 | 2024-08-18T10:33:38 | null | https://github.com/huggingface/datasets/issues/7101 | hlky | 1 | [] |
7,100 | IterableDataset: cannot resolve features from list of numpy arrays | ### Describe the bug
when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | OPEN | 2024-08-14T11:01:51 | 2024-10-03T05:47:23 | null | https://github.com/huggingface/datasets/issues/7100 | VeryLazyBoy | 1 | [] |
7,097 | Some of DownloadConfig's properties are always being overridden in load.py | ### Describe the bug
The `extract_compressed_file` and `force_extract` properties of DownloadConfig are always being set to True in the function `dataset_module_factory` in the `load.py` file. This behavior is very annoying because data extracted will just be ignored the next time the dataset is loaded.
See this im... | OPEN | 2024-08-09T18:26:37 | 2024-08-09T18:26:37 | null | https://github.com/huggingface/datasets/issues/7097 | ductai199x | 0 | [] |
7,093 | Add Arabic Docs to datasets | ### Feature request
Add Arabic Docs to datasets
[Datasets Arabic](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
### Motivation
@AhmedAlmaghz
https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx
### Your contribution
@AhmedAlmaghz
https://github.com/AhmedAlma... | OPEN | 2024-08-07T21:48:05 | 2024-08-07T21:48:05 | null | https://github.com/huggingface/datasets/issues/7093 | AhmedAlmaghz | 0 | [
"enhancement"
] |
7,092 | load_dataset with multiple jsonlines files interprets datastructure too early | ### Describe the bug
likely related to #6460
using `datasets.load_dataset("json", data_dir= ... )` with multiple `.jsonl` files will error if one of the files (maybe the first file?) contains a full column of empty data.
### Steps to reproduce the bug
real world example:
data is available in this [PR-bra... | OPEN | 2024-08-06T17:42:55 | 2024-08-08T16:35:01 | null | https://github.com/huggingface/datasets/issues/7092 | Vipitis | 5 | [] |
7,090 | The test test_move_script_doesnt_change_hash fails because it runs the 'python' command while the python executable has a different name | ### Describe the bug
Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | OPEN | 2024-08-06T00:35:05 | 2024-08-06T00:35:05 | null | https://github.com/huggingface/datasets/issues/7090 | yurivict | 0 | [] |
7,089 | Missing pyspark dependency causes the testsuite to error out, instead of a few tests to be skipped | ### Describe the bug
see the subject
### Steps to reproduce the bug
regular tests
### Expected behavior
n/a
### Environment info
version 2.20.0 | OPEN | 2024-08-05T21:05:11 | 2024-08-05T21:05:11 | null | https://github.com/huggingface/datasets/issues/7089 | yurivict | 0 | [] |
7,088 | Disable warning when using with_format format on tensors | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | OPEN | 2024-08-05T00:45:50 | 2024-08-05T00:45:50 | null | https://github.com/huggingface/datasets/issues/7088 | Haislich | 0 | [
"enhancement"
] |
7,087 | Unable to create dataset card for Lushootseed language | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | CLOSED | 2024-08-04T14:27:04 | 2024-08-06T06:59:23 | 2024-08-06T06:59:22 | https://github.com/huggingface/datasets/issues/7087 | vaishnavsudarshan | 2 | [
"enhancement"
] |
7,086 | load_dataset ignores cached datasets and tries to hit HF Hub, resulting in API rate limit errors | ### Describe the bug
I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
### Steps to reproduce the bug
1. Be Me
2. Run `load_dataset("TAUR-Lab/MuSR")`
3. Hit rate limit error
4. Dataset... | OPEN | 2024-08-02T18:12:23 | 2025-11-21T10:05:10 | null | https://github.com/huggingface/datasets/issues/7086 | tginart | 2 | [] |
7,085 | [Regression] IterableDataset is broken on 2.20.0 | ### Describe the bug
In the latest version of datasets there is a major regression, after creating an `IterableDataset` from a generator and applying a few operations (`map`, `select`), you can no longer iterate through the dataset multiple times.
The issue seems to stem from the recent addition of "resumable Itera... | CLOSED | 2024-07-31T13:01:59 | 2024-08-22T14:49:37 | 2024-08-22T14:49:07 | https://github.com/huggingface/datasets/issues/7085 | AjayP13 | 3 | [] |
7,084 | More easily support streaming local files | ### Feature request
Simplify downloading and streaming datasets locally. Specifically, perhaps add an option to `load_dataset(..., streaming="download_first")` or add better support for streaming symlinked or arrow files.
### Motivation
I have downloaded FineWeb-edu locally and currently trying to stream the d... | OPEN | 2024-07-31T09:03:15 | 2024-07-31T09:05:58 | null | https://github.com/huggingface/datasets/issues/7084 | fschlatt | 0 | [
"enhancement"
] |
7,080 | Generating train split takes a long time | ### Describe the bug
Loading a simple webdataset takes ~45 minutes.
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("PixArt-alpha/SAM-LLaVA-Captions10M")
```
### Expected behavior
The dataset should load immediately as it does when loaded through a normal indexed WebD... | OPEN | 2024-07-29T01:42:43 | 2024-10-02T15:31:22 | null | https://github.com/huggingface/datasets/issues/7080 | alexanderswerdlow | 2 | [] |
7,079 | HfHubHTTPError: 500 Server Error: Internal Server Error for url: | ### Describe the bug
newly uploaded datasets, since yesterday, yields an error.
old datasets, works fine.
Seems like the datasets api server returns a 500
I'm getting the same error, when I invoke `load_dataset` with my dataset.
Long discussion about it here, but I'm not sure anyone from huggingface have s... | CLOSED | 2024-07-27T08:21:03 | 2024-09-20T13:26:25 | 2024-07-27T19:52:30 | https://github.com/huggingface/datasets/issues/7079 | neoneye | 17 | [] |
7,077 | column_names ignored by load_dataset() when loading CSV file | ### Describe the bug
load_dataset() ignores the column_names kwarg when loading a CSV file. Instead, it uses whatever values are on the first line of the file.
### Steps to reproduce the bug
Call `load_dataset` to load data from a CSV file and specify `column_names` kwarg.
### Expected behavior
The resulting da... | OPEN | 2024-07-26T14:18:04 | 2024-07-30T07:52:26 | null | https://github.com/huggingface/datasets/issues/7077 | luismsgomes | 1 | [] |
7,073 | CI is broken for convert_to_parquet: Invalid rev id: refs/pr/1 404 error causes RevisionNotFoundError | See: https://github.com/huggingface/datasets/actions/runs/10095313567/job/27915185756
```
FAILED tests/test_hub.py::test_convert_to_parquet - huggingface_hub.utils._errors.RevisionNotFoundError: 404 Client Error. (Request ID: Root=1-66a25839-31ce7b475e70e7db1e4d44c2;b0c8870f-d5ef-4bf2-a6ff-0191f3df0f64)
Revision N... | CLOSED | 2024-07-26T08:27:41 | 2024-07-27T05:48:02 | 2024-07-26T09:16:13 | https://github.com/huggingface/datasets/issues/7073 | albertvillanova | 9 | [] |
7,072 | nm | CLOSED | 2024-07-25T17:03:24 | 2024-07-25T20:36:11 | 2024-07-25T20:36:11 | https://github.com/huggingface/datasets/issues/7072 | brettdavies | 0 | [] | |
7,071 | Filter hangs | ### Describe the bug
When trying to filter my custom dataset, the process hangs, regardless of the lambda function used. It appears to be an issue with the way the Images are being handled. The dataset in question is a preprocessed version of https://huggingface.co/datasets/danaaubakirova/patfig where notably, I hav... | OPEN | 2024-07-25T15:29:05 | 2024-07-25T15:36:59 | null | https://github.com/huggingface/datasets/issues/7071 | lucienwalewski | 0 | [] |
7,070 | how set_transform affects batch size? | ### Describe the bug
I am trying to fine-tune w2v-bert for ASR task. Since my dataset is so big, I preferred to use the on-the-fly method with set_transform. So i change the preprocessing function to this:
```
def prepare_dataset(batch):
input_features = processor(batch["audio"], sampling_rate=16000).input_feat... | OPEN | 2024-07-25T15:19:34 | 2024-07-25T15:19:34 | null | https://github.com/huggingface/datasets/issues/7070 | VafaKnm | 0 | [] |
7,067 | Convert_to_parquet fails for datasets with multiple configs | If the dataset has multiple configs, when using the `datasets-cli convert_to_parquet` command to avoid issues with the data viewer caused by loading scripts, the conversion process only successfully converts the data corresponding to the first config. When it starts converting the second config, it throws an error:
... | CLOSED | 2024-07-23T15:09:33 | 2024-07-30T10:51:02 | 2024-07-30T10:51:02 | https://github.com/huggingface/datasets/issues/7067 | HuangZhen02 | 3 | [] |
7,066 | One subset per file in repo ? | Right now we consider all the files of a dataset to be the same data, e.g.
```
single_subset_dataset/
├── train0.jsonl
├── train1.jsonl
└── train2.jsonl
```
but in cases like this, each file is actually a different subset of the dataset and should be loaded separately
```
many_subsets_dataset/
├── animals.jso... | OPEN | 2024-07-23T12:43:59 | 2025-06-26T08:24:50 | null | https://github.com/huggingface/datasets/issues/7066 | lhoestq | 1 | [] |
7,065 | Cannot get item after loading from disk and then converting to iterable. | ### Describe the bug
The dataset generated from local file works fine.
```py
root = "/home/data/train"
file_list1 = glob(os.path.join(root, "*part1.flac"))
file_list2 = glob(os.path.join(root, "*part2.flac"))
ds = (
Dataset.from_dict({"part1": file_list1, "part2": file_list2})
.cast_column("part1", Au... | OPEN | 2024-07-23T09:37:56 | 2024-07-23T09:37:56 | null | https://github.com/huggingface/datasets/issues/7065 | happyTonakai | 0 | [] |
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