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https://api.github.com/repos/huggingface/datasets/issues/7609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7609/comments | https://api.github.com/repos/huggingface/datasets/issues/7609/events | https://github.com/huggingface/datasets/pull/7609 | 3,140,373,128 | PR_kwDODunzps6aOQ_g | 7,609 | Update `_dill.py` to use `co_linetable` for Python 3.10+ in place of `co_lnotab` | {
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```
/fsx/qgallouedec/miniconda3/envs/trl/lib/python3.12/site-packages/datasets/utils/_dill.py:385: DeprecationWarning: co_lnotab is deprecated, use co_lines instead.
```
Tests pass locally. And the warning is gone with this change.
https://peps.python.or... | {
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https://api.github.com/repos/huggingface/datasets/issues/7607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7607/comments | https://api.github.com/repos/huggingface/datasets/issues/7607/events | https://github.com/huggingface/datasets/issues/7607 | 3,135,722,560 | I_kwDODunzps6651RA | 7,607 | Video and audio decoding with torchcodec | {
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Pytorch is migrating video processing to torchcodec and it's pretty cool. It would be nice to migrate both the audio and video features to use torchcodec instead of torchaudio/video.
### Motivation
My use case is I'm working on a multimodal AV model, and what's nice about torchcodec is I can extr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7605/comments | https://api.github.com/repos/huggingface/datasets/issues/7605/events | https://github.com/huggingface/datasets/pull/7605 | 3,131,636,882 | PR_kwDODunzps6ZwcPp | 7,605 | Make `push_to_hub` atomic (#7600) | {
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https://api.github.com/repos/huggingface/datasets/issues/7604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7604/comments | https://api.github.com/repos/huggingface/datasets/issues/7604/events | https://github.com/huggingface/datasets/pull/7604 | 3,130,837,169 | PR_kwDODunzps6Ztrm_ | 7,604 | Docs and more methods for IterableDataset: push_to_hub, to_parquet... | {
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https://api.github.com/repos/huggingface/datasets/issues/7603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7603/comments | https://api.github.com/repos/huggingface/datasets/issues/7603/events | https://github.com/huggingface/datasets/pull/7603 | 3,130,394,563 | PR_kwDODunzps6ZsKin | 7,603 | No TF in win tests | {
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https://api.github.com/repos/huggingface/datasets/issues/7602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7602/comments | https://api.github.com/repos/huggingface/datasets/issues/7602/events | https://github.com/huggingface/datasets/pull/7602 | 3,128,758,924 | PR_kwDODunzps6Zmk99 | 7,602 | Enhance error handling and input validation across multiple modules | {
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} | This PR improves the robustness and user experience by:
1. **Audio Module**:
- Added clear error messages when required fields ('path' or 'bytes') are missing in audio encoding
2. **DatasetDict**:
- Enhanced key access error messages to show available splits when an invalid key is accessed
3. **NonMuta... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7600/comments | https://api.github.com/repos/huggingface/datasets/issues/7600/events | https://github.com/huggingface/datasets/issues/7600 | 3,127,296,182 | I_kwDODunzps66ZsC2 | 7,600 | `push_to_hub` is not concurrency safe (dataset schema corruption) | {
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Concurrent processes modifying and pushing a dataset can overwrite each others' dataset card, leaving the dataset unusable.
Consider this scenario:
- we have an Arrow dataset
- there are `N` configs of the dataset
- there are `N` independent processes operating on each of the individual configs (... | {
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Hi everyone, I uploaded my dataset https://huggingface.co/datasets/PRAIG/SMB a few months ago while I was waiting for a conference acceptance response. Without modifying anything in the dataset repository now the Dataset viewer is not rendering the metadata.jsonl annotations, neither it is being d... | {
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In the context of a private hub deployment, customers would like to use load_dataset() to load datasets from their hub, not from the public hub. This doesn't seem to be configurable at the moment and it would be nice to add this feature.
The obvious workaround is to clone the repo first and then l... | {
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2. Extended section about video image augmentations with an example from Albumentations. | {
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This is to be improved later.
Close https://github.com/huggingface/datasets/issues/5665
PS: for image/audio datasets structured as actual image/audio files (not parquet), you can sometimes speed it up with `ds.decode(num_threads=...).push_to_h... | {
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... | open | false | [] | null | 10 | 2025-06-05T11:12:45 | 2025-10-23T14:54:47 | null | null | NONE | [] | null | null | null | null | ### Feature request
Hi, I would like the option to ignore keys/columns when loading a dataset from files (e.g. jsonl).
### Motivation
I am working on a dataset which is built on jsonl. It seems the dataset is unclean and a column has different types in each row. I can't clean this or remove the column (It is not my ... | null | {
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In this PR fixed link to the most recent doc in Albumentations about bounding boxes and it's format.
Fix a few typos in the doc as well. | {
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- [x] remplace fixtures based on script with no-script fixtures
- [x] windaube | {
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A number of processes parameter to the dataset.push_to_hub method
### Motivation
Shards are currently uploaded serially which makes it slow for many shards, uploading can be done in parallel and much faster
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When loading a dataset with a field declared as a list of structs using `Sequence(Features(...))`, `load_dataset` incorrectly infers the field as a plain `struct<...>` instead of a `list<struct<...>>`. This leads to the following error:
```
ArrowNotImplementedError: Unsupported cast from list<item: st... | {
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https://api.github.com/repos/huggingface/datasets/issues/7589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7589/comments | https://api.github.com/repos/huggingface/datasets/issues/7589/events | https://github.com/huggingface/datasets/pull/7589 | 3,101,119,704 | PR_kwDODunzps6YKiyL | 7,589 | feat: use content defined chunking | {
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- [x] set the parameters in `io.parquet.ParquetDatasetReader`
- [x] set the parameters in `arrow_writer.ParquetWriter`
It requires a new pyarrow pin ">=21.0.0" which is released now. | {
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https://api.github.com/repos/huggingface/datasets/issues/7588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7588/comments | https://api.github.com/repos/huggingface/datasets/issues/7588/events | https://github.com/huggingface/datasets/issues/7588 | 3,094,012,025 | I_kwDODunzps64auB5 | 7,588 | ValueError: Invalid pattern: '**' can only be an entire path component [Colab] | {
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I have a dataset on HF [here](https://huggingface.co/datasets/kambale/luganda-english-parallel-corpus) that i've previously used to train a translation model [here](https://huggingface.co/kambale/pearl-11m-translate).
now i changed a few hyperparameters to increase number of tokens for the model,... | {
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https://github.com/rajasekarnp1/neural-audio-upscaler/tree/main
### Motivation
ai model develpment and audio
### Your contribution
ai model develpment and audio | null | {
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"merged_at": "2025-06-05T12:41... | Fix duplicating default config names.
Currently, when calling `push_to_hub(set_default=True` with 2 different config names, both are set as default.
Moreover, this will generate an error next time we try to push another default config name, raised by `MetadataConfigs.get_default_config_name`:
https://github.com... | {
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... | open | false | [] | null | 1 | 2025-05-26T07:10:13 | 2025-05-26T18:23:37 | null | null | NONE | [] | null | null | null | null | ### Feature request
Add LMDB format support for large memory-mapping files
### Motivation
Add LMDB format support for large memory-mapping files
### Your contribution
I'm trying to add it | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7583/comments | https://api.github.com/repos/huggingface/datasets/issues/7583/events | https://github.com/huggingface/datasets/issues/7583 | 3,088,987,757 | I_kwDODunzps64HjZt | 7,583 | load_dataset type stubs reject List[str] for split parameter, but runtime supports it | {
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The [load_dataset](https://huggingface.co/docs/datasets/v3.6.0/en/package_reference/loading_methods#datasets.load_dataset) method accepts a `List[str]` as the split parameter at runtime, however, the current type stubs restrict the split parameter to `Union[str, Split, None]`. This causes type che... | {
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https://api.github.com/repos/huggingface/datasets/issues/7582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7582/comments | https://api.github.com/repos/huggingface/datasets/issues/7582/events | https://github.com/huggingface/datasets/pull/7582 | 3,083,515,643 | PR_kwDODunzps6XPIt7 | 7,582 | fix: Add embed_storage in Pdf feature | {
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https://api.github.com/repos/huggingface/datasets/issues/7580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7580/comments | https://api.github.com/repos/huggingface/datasets/issues/7580/events | https://github.com/huggingface/datasets/issues/7580 | 3,082,993,027 | I_kwDODunzps63wr2D | 7,580 | Requesting a specific split (eg: test) still downloads all (train, test, val) data when streaming=False. | {
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When using load_dataset() from the datasets library (in load.py), specifying a particular split (e.g., split="train") still results in downloading data for all splits when streaming=False. This happens during the builder_instance.download_and_prepare() call.
This behavior leads to unnecessary band... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7579/comments | https://api.github.com/repos/huggingface/datasets/issues/7579/events | https://github.com/huggingface/datasets/pull/7579 | 3,081,849,022 | PR_kwDODunzps6XJerX | 7,579 | Fix typos in PDF and Video documentation | {
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https://api.github.com/repos/huggingface/datasets/issues/7577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7577/comments | https://api.github.com/repos/huggingface/datasets/issues/7577/events | https://github.com/huggingface/datasets/issues/7577 | 3,080,833,740 | I_kwDODunzps63ocrM | 7,577 | arrow_schema is not compatible with list | {
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```
import datasets
f = datasets.Features({'x': list[datasets.Value(dtype='int32')]})
f.arrow_schema
Traceback (most recent call last):
File "datasets/features/features.py", line 1826, in arrow_schema
return pa.schema(self.type).with_metadata({"huggingface": json.dumps(hf_metadata)})
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7576/comments | https://api.github.com/repos/huggingface/datasets/issues/7576/events | https://github.com/huggingface/datasets/pull/7576 | 3,080,450,538 | PR_kwDODunzps6XEuMz | 7,576 | Fix regex library warnings | {
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"merged_at": "2025-06-05T12:37... | # PR Summary
This small PR resolves the regex library warnings showing starting Python3.11:
```python
DeprecationWarning: 'count' is passed as positional argument
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/7575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7575/comments | https://api.github.com/repos/huggingface/datasets/issues/7575/events | https://github.com/huggingface/datasets/pull/7575 | 3,080,228,718 | PR_kwDODunzps6XD9gM | 7,575 | [MINOR:TYPO] Update save_to_disk docstring | {
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https://api.github.com/repos/huggingface/datasets/issues/7574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7574/comments | https://api.github.com/repos/huggingface/datasets/issues/7574/events | https://github.com/huggingface/datasets/issues/7574 | 3,079,641,072 | I_kwDODunzps63j5fw | 7,574 | Missing multilingual directions in IWSLT2017 dataset's processing script | {
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Hi,
Upon using `iwslt2017.py` in `IWSLT/iwslt2017` on the Hub for loading the datasets, I am unable to obtain the datasets for the language pairs `de-it`, `de-ro`, `de-nl`, `it-de`, `nl-de`, and `ro-de` using it. These 6 pairs do not show up when using `get_dataset_config_names()` to obtain the ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7573/comments | https://api.github.com/repos/huggingface/datasets/issues/7573/events | https://github.com/huggingface/datasets/issues/7573 | 3,076,415,382 | I_kwDODunzps63Xl-W | 7,573 | No Samsum dataset | {
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https://huggingface.co/datasets/Samsung/samsum dataset not found error 404
Originated from https://github.com/meta-llama/llama-cookbook/issues/948
### Steps to reproduce the bug
go to website https://huggingface.co/datasets/Samsung/samsum
see the error
also downloading it with python throws
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https://api.github.com/repos/huggingface/datasets/issues/7572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7572/comments | https://api.github.com/repos/huggingface/datasets/issues/7572/events | https://github.com/huggingface/datasets/pull/7572 | 3,074,529,251 | PR_kwDODunzps6WwsZB | 7,572 | Fixed typos | {
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https://api.github.com/repos/huggingface/datasets/issues/7571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7571/comments | https://api.github.com/repos/huggingface/datasets/issues/7571/events | https://github.com/huggingface/datasets/pull/7571 | 3,074,116,942 | PR_kwDODunzps6WvRqi | 7,571 | fix string_to_dict test | {
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https://api.github.com/repos/huggingface/datasets/issues/7570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7570/comments | https://api.github.com/repos/huggingface/datasets/issues/7570/events | https://github.com/huggingface/datasets/issues/7570 | 3,065,966,529 | I_kwDODunzps62vu_B | 7,570 | Dataset lib seems to broke after fssec lib update | {
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I am facing an issue since today where HF's dataset is acting weird and in some instances failure to recognise a valid dataset entirely, I think it is happening due to recent change in `fsspec` lib as using this command fixed it for me in one-time: `!pip install -U datasets huggingface_hub fsspec`... | {
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https://api.github.com/repos/huggingface/datasets/issues/7569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7569/comments | https://api.github.com/repos/huggingface/datasets/issues/7569/events | https://github.com/huggingface/datasets/issues/7569 | 3,061,234,054 | I_kwDODunzps62drmG | 7,569 | Dataset creation is broken if nesting a dict inside a dict inside a list | {
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Hey,
I noticed that the creation of datasets with `Dataset.from_generator` is broken if dicts and lists are nested in a certain way and a schema is being passed. See below for details.
Best,
Tim
### Steps to reproduce the bug
Runing this code:
```python
from datasets import Dataset, Features,... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7568/comments | https://api.github.com/repos/huggingface/datasets/issues/7568/events | https://github.com/huggingface/datasets/issues/7568 | 3,060,515,257 | I_kwDODunzps62a8G5 | 7,568 | `IterableDatasetDict.map()` call removes `column_names` (in fact info.features) | {
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https://api.github.com/repos/huggingface/datasets/issues/7567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7567/comments | https://api.github.com/repos/huggingface/datasets/issues/7567/events | https://github.com/huggingface/datasets/issues/7567 | 3,058,308,538 | I_kwDODunzps62ShW6 | 7,567 | interleave_datasets seed with multiple workers | {
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Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | {
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https://api.github.com/repos/huggingface/datasets/issues/7566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7566/comments | https://api.github.com/repos/huggingface/datasets/issues/7566/events | https://github.com/huggingface/datasets/issues/7566 | 3,055,279,344 | I_kwDODunzps62G9zw | 7,566 | terminate called without an active exception; Aborted (core dumped) | {
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I use it as in the tutorial here: https://huggingface.co/docs/datasets/stream, and it ends up with abort.
### Steps to reproduce the bug
1. `pip install datasets`
2.
```
$ cat main.py
#!/usr/bin/env python3
from datasets import load_dataset
dataset = load_dataset('HuggingFaceFW/fineweb', spl... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7565/comments | https://api.github.com/repos/huggingface/datasets/issues/7565/events | https://github.com/huggingface/datasets/pull/7565 | 3,051,731,207 | PR_kwDODunzps6VkFBm | 7,565 | add check if repo exists for dataset uploading | {
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} | Currently, I'm reuploading datasets for [`MTEB`](https://github.com/embeddings-benchmark/mteb/). Some of them have many splits (more than 20), and I'm encountering the error:
`Too many requests for https://huggingface.co/datasets/repo/create`.
It seems that this issue occurs because the dataset tries to recreate it... | {
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https://api.github.com/repos/huggingface/datasets/issues/7564 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7564/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7564/comments | https://api.github.com/repos/huggingface/datasets/issues/7564/events | https://github.com/huggingface/datasets/pull/7564 | 3,049,275,226 | PR_kwDODunzps6VczLS | 7,564 | Implementation of iteration over values of a column in an IterableDataset object | {
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https://api.github.com/repos/huggingface/datasets/issues/7563 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7563/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7563/comments | https://api.github.com/repos/huggingface/datasets/issues/7563/events | https://github.com/huggingface/datasets/pull/7563 | 3,046,351,253 | PR_kwDODunzps6VS0QL | 7,563 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7562/comments | https://api.github.com/repos/huggingface/datasets/issues/7562/events | https://github.com/huggingface/datasets/pull/7562 | 3,046,339,430 | PR_kwDODunzps6VSxmx | 7,562 | release: 3.6.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7561/comments | https://api.github.com/repos/huggingface/datasets/issues/7561/events | https://github.com/huggingface/datasets/issues/7561 | 3,046,302,653 | I_kwDODunzps61kuO9 | 7,561 | NotImplementedError: <class 'datasets.iterable_dataset.RepeatExamplesIterable'> doesn't implement num_shards yet | {
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When using `.repeat()` on an `IterableDataset`, this error gets thrown. There is [this thread](https://discuss.huggingface.co/t/making-an-infinite-iterabledataset/146192/5) that seems to imply the fix is trivial, but I don't know anything about this codebase, so I'm opening this issue rather than ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7560/comments | https://api.github.com/repos/huggingface/datasets/issues/7560/events | https://github.com/huggingface/datasets/pull/7560 | 3,046,265,500 | PR_kwDODunzps6VShIc | 7,560 | fix decoding tests | {
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https://api.github.com/repos/huggingface/datasets/issues/7559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7559/comments | https://api.github.com/repos/huggingface/datasets/issues/7559/events | https://github.com/huggingface/datasets/pull/7559 | 3,046,177,078 | PR_kwDODunzps6VSNiX | 7,559 | fix aiohttp import | {
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wanted to apply this change to the original PR but github didn't let me apply it directly - merging this one instead | {
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} | Fixes a regression from #7553 breaking shuffling of iterable datasets
<img width="884" alt="Screenshot 2025-05-07 at 9 16 52 AM" src="https://github.com/user-attachments/assets/d2f43c5f-4092-4efe-ac31-a32cbd025fe3" />
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https://api.github.com/repos/huggingface/datasets/issues/7556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7556/comments | https://api.github.com/repos/huggingface/datasets/issues/7556/events | https://github.com/huggingface/datasets/pull/7556 | 3,043,615,210 | PR_kwDODunzps6VJlTR | 7,556 | Add `--merge-pull-request` option for `convert_to_parquet` | {
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Note that this implementation **will only merge the last PR in the case that they get split up by `push_to_hub`**. See https://github.com/huggingface/datasets/discussions/7555 for more details. | {
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https://api.github.com/repos/huggingface/datasets/issues/7554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7554/comments | https://api.github.com/repos/huggingface/datasets/issues/7554/events | https://github.com/huggingface/datasets/issues/7554 | 3,043,089,844 | I_kwDODunzps61Yd20 | 7,554 | datasets downloads and generates all splits, even though a single split is requested (for dataset with loading script) | {
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`datasets` downloads and generates all splits, even though a single split is requested. [This](https://huggingface.co/datasets/jordiae/exebench) is the dataset in question. It uses a loading script. I am not 100% sure that this is a bug, because maybe with loading scripts `datasets` must actual... | {
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https://api.github.com/repos/huggingface/datasets/issues/7553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7553/comments | https://api.github.com/repos/huggingface/datasets/issues/7553/events | https://github.com/huggingface/datasets/pull/7553 | 3,042,953,907 | PR_kwDODunzps6VHUNW | 7,553 | Rebatch arrow iterables before formatted iterable | {
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https://api.github.com/repos/huggingface/datasets/issues/7552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7552/comments | https://api.github.com/repos/huggingface/datasets/issues/7552/events | https://github.com/huggingface/datasets/pull/7552 | 3,040,258,084 | PR_kwDODunzps6U-BUv | 7,552 | Enable xet in push to hub | {
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related to https://github.com/huggingface/datasets/issues/7526 | {
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https://api.github.com/repos/huggingface/datasets/issues/7551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7551/comments | https://api.github.com/repos/huggingface/datasets/issues/7551/events | https://github.com/huggingface/datasets/issues/7551 | 3,038,114,928 | I_kwDODunzps61FfRw | 7,551 | Issue with offline mode and partial dataset cached | {
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Hi,
a issue related to #4760 here when loading a single file from a dataset, unable to access it in offline mode afterwards
### Steps to reproduce the bug
```python
import os
# os.environ["HF_HUB_OFFLINE"] = "1"
os.environ["HF_TOKEN"] = "xxxxxxxxxxxxxx"
import datasets
dataset_name = "uonlp/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7550/comments | https://api.github.com/repos/huggingface/datasets/issues/7550/events | https://github.com/huggingface/datasets/pull/7550 | 3,037,017,367 | PR_kwDODunzps6UzksN | 7,550 | disable aiohttp depend for python 3.13t free-threading compat | {
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https://api.github.com/repos/huggingface/datasets/issues/7549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7549/comments | https://api.github.com/repos/huggingface/datasets/issues/7549/events | https://github.com/huggingface/datasets/issues/7549 | 3,036,272,015 | I_kwDODunzps60-dWP | 7,549 | TypeError: Couldn't cast array of type string to null on webdataset format dataset | {
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```python
from datasets import load_dataset
dataset = load_dataset("animetimm/danbooru-wdtagger-v4-w640-ws-30k")
```
got
```
File "/home/ubuntu/miniconda3/lib/python3.10/site-packages/datasets/arrow_writer.py", line 626, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarro... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7548/comments | https://api.github.com/repos/huggingface/datasets/issues/7548/events | https://github.com/huggingface/datasets/issues/7548 | 3,035,568,851 | I_kwDODunzps607xrT | 7,548 | Python 3.13t (free threads) Compat | {
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Cannot install `datasets` under `python 3.13t` due to dependency on `aiohttp` and aiohttp cannot be built for free-threading python.
The `free threading` support issue in `aiothttp` is active since August 2024! Ouch.
https://github.com/aio-libs/aiohttp/issues/8796#issue-2475941784
`pip install... | null | {
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When I load large parquet based datasets from the hub like `MLCommons/peoples_speech` using `load_dataset`, all my memory (500GB) is used and isn't released after loading, meaning that the process is terminated by the kernel if I try to load an additional dataset. This makes it impossible to train... | {
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Introduce a HF_DATASET_CACHE_NETWORK_LOCATION configuration (e.g. an environment variable) together with a companion network cache service.
Enable a three-tier cache lookup for datasets:
1. Local on-disk cache
2. Configurable network cache proxy
3. Official Hugging Face Hub
### Motivation
- Dis... | null | {
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The previously merged PR #7483 added `try_original_type` to ArrowDataset, but DatasetDict misses `try_original_type`
Cc: @lhoestq | {
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## bug
When the map function processes a large dataset, it temporarily stores the data in a cache file on the disk. After the data is stored, the memory occupied by it is released. Therefore, when using the map function to process a large-scale dataset, only a dataset space of the size of `writer_... | {
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https://api.github.com/repos/huggingface/datasets/issues/7540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7540/comments | https://api.github.com/repos/huggingface/datasets/issues/7540/events | https://github.com/huggingface/datasets/pull/7540 | 3,024,862,966 | PR_kwDODunzps6UKe6T | 7,540 | support pyarrow 20 | {
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```
TypeError: ArrayExtensionArray.to_pylist() got an unexpected keyword argument 'maps_as_pydicts'
``` | {
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} | # Fix IterableDataset's state_dict shard_example_idx reporting
## Description
This PR fixes issue #7475 where the `shard_example_idx` value in `IterableDataset`'s `state_dict()` always equals the number of samples in a shard, even if only a few examples have been consumed.
The issue is in the `_iter_arrow` met... | {
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https://api.github.com/repos/huggingface/datasets/issues/7538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7538/comments | https://api.github.com/repos/huggingface/datasets/issues/7538/events | https://github.com/huggingface/datasets/issues/7538 | 3,023,280,056 | I_kwDODunzps60M5e4 | 7,538 | `IterableDataset` drops samples when resuming from a checkpoint | {
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] | closed | false | [] | null | 1 | 2025-04-27T19:34:49 | 2025-05-06T14:04:05 | 2025-05-06T14:03:42 | null | COLLABORATOR | [] | null | null | null | null | When resuming from a checkpoint, `IterableDataset` will drop samples if `num_shards % world_size == 0` and the underlying example supports `iter_arrow` and needs to be formatted.
In that case, the `FormattedExamplesIterable` fetches a batch of samples from the child iterable's `iter_arrow` and yields them one by one ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7537/comments | https://api.github.com/repos/huggingface/datasets/issues/7537/events | https://github.com/huggingface/datasets/issues/7537 | 3,018,792,966 | I_kwDODunzps6z7yAG | 7,537 | `datasets.map(..., num_proc=4)` multi-processing fails | {
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```python
tokenized_datasets = datasets.map(tokenize_function, batched=True, num_proc=4, remove_columns=["text"])
```
Error log:
```bash
Traceback (most recent call last):
File "/usr/local/lib/python3.12/dist-packages/multiprocess/process.py", line 315, in _bootstrap
self.ru... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7536/comments | https://api.github.com/repos/huggingface/datasets/issues/7536/events | https://github.com/huggingface/datasets/issues/7536 | 3,018,425,549 | I_kwDODunzps6z6YTN | 7,536 | [Errno 13] Permission denied: on `.incomplete` file | {
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When downloading a dataset, we frequently hit the below Permission Denied error. This looks to happen (at least) across datasets in HF, S3, and GCS.
It looks like the `temp_file` being passed [here](https://github.com/huggingface/datasets/blob/main/src/datasets/utils/file_utils.py#L412) can somet... | {
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https://api.github.com/repos/huggingface/datasets/issues/7535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7535/comments | https://api.github.com/repos/huggingface/datasets/issues/7535/events | https://github.com/huggingface/datasets/pull/7535 | 3,018,289,872 | PR_kwDODunzps6T0lm3 | 7,535 | Change dill version in requirements | {
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https://api.github.com/repos/huggingface/datasets/issues/7534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7534/comments | https://api.github.com/repos/huggingface/datasets/issues/7534/events | https://github.com/huggingface/datasets/issues/7534 | 3,017,259,407 | I_kwDODunzps6z17mP | 7,534 | TensorFlow RaggedTensor Support (batch-level) | {
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... | open | false | [] | null | 4 | 2025-04-24T13:14:52 | 2025-06-30T17:03:39 | null | null | NONE | [] | null | null | null | null | ### Feature request
Hi,
Currently datasets does not support RaggedTensor output on batch-level.
When building a Object Detection Dataset (with TensorFlow) I need to enable RaggedTensors as that's how BBoxes & classes are expected from the Keras Model POV.
Currently there's a error thrown saying that "Nested Data is ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7533/comments | https://api.github.com/repos/huggingface/datasets/issues/7533/events | https://github.com/huggingface/datasets/pull/7533 | 3,015,075,086 | PR_kwDODunzps6TpraJ | 7,533 | Add custom fingerprint support to `from_generator` | {
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`Dataset.from_generator` function passes all of its arguments to `BuilderConfig.create_config_id`, including generator function itself. `BuilderConfig.create_config_id` function tries to hash all the args, which can take a large amount ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7532/comments | https://api.github.com/repos/huggingface/datasets/issues/7532/events | https://github.com/huggingface/datasets/pull/7532 | 3,009,546,204 | PR_kwDODunzps6TW8Ss | 7,532 | Document the HF_DATASETS_CACHE environment variable in the datasets cache documentation | {
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This pull request updates the Datasets documentation to include the `HF_DATASETS_CACHE` environment variable. While the current documentation only mentions `HF_HOME` for overriding the default cache directory, `HF_DATASETS_CACHE` is also a supported and useful option for specifying a custom cache location for dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/7531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7531/comments | https://api.github.com/repos/huggingface/datasets/issues/7531/events | https://github.com/huggingface/datasets/issues/7531 | 3,008,914,887 | I_kwDODunzps6zWGXH | 7,531 | Deepspeed reward training hangs at end of training with Dataset.from_list | {
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https://api.github.com/repos/huggingface/datasets/issues/7530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7530/comments | https://api.github.com/repos/huggingface/datasets/issues/7530/events | https://github.com/huggingface/datasets/issues/7530 | 3,007,452,499 | I_kwDODunzps6zQhVT | 7,530 | How to solve "Spaces stuck in Building" problems | {
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Public spaces may stuck in Building after restarting, error log as follows:
build error
Unexpected job error
ERROR: failed to push spaces-registry.huggingface.tech/spaces/*:cpu-*-*: unexpected status from HEAD request to https://spaces-registry.huggingface.tech/v2/spaces/*/manifests/cpu-*-*: 401... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7529/comments | https://api.github.com/repos/huggingface/datasets/issues/7529/events | https://github.com/huggingface/datasets/issues/7529 | 3,007,118,969 | I_kwDODunzps6zPP55 | 7,529 | audio folder builder cannot detect custom split name | {
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when using audio folder builder (`load_dataset("audiofolder", data_dir="/path/to/folder")`), it cannot detect custom split name other than train/validation/test
### Steps to reproduce the bug
i have the following folder structure
```
my_dataset/
├── train/
│ ├── lorem.wav
│ ├── …
│ └── met... | {
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https://api.github.com/repos/huggingface/datasets/issues/7528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7528/comments | https://api.github.com/repos/huggingface/datasets/issues/7528/events | https://github.com/huggingface/datasets/issues/7528 | 3,006,433,485 | I_kwDODunzps6zMojN | 7,528 | Data Studio Error: Convert JSONL incorrectly | {
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Hi there,
I uploaded a dataset here https://huggingface.co/datasets/V-STaR-Bench/V-STaR, but I found that Data Studio incorrectly convert the "bboxes" value for the whole dataset. Therefore, anyone who downloaded the dataset via the API would get the wrong "bboxes" value in the data file.
Could ... | null | {
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Add a command-line option, e.g. `--auto-merge-pull-request` that enables automatic merging of the commits created by the `convert-to-parquet` tool.
### Motivation
Large datasets may result in dozens of PRs due to the splitting mechanism. Each of these has to be manually accepted via the website.
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## Xet is out !
Over the past few weeks, Hugging Face’s [Xet Team](https://huggingface.co/xet-team) took a major step forward by [migrating the first Model and Dataset repositories off LFS and to Xet storage](https://huggingface... | null | {
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} | When a large commit is split up, it seems the commit index in the message is zero-based while the total number is one-based. I came across this running `convert-to-parquet` and was wondering why there was no `6-of-6` commit. This PR fixes that by adding one to the commit index, so both are one-based.
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https://api.github.com/repos/huggingface/datasets/issues/7522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7522/comments | https://api.github.com/repos/huggingface/datasets/issues/7522/events | https://github.com/huggingface/datasets/pull/7522 | 2,998,169,017 | PR_kwDODunzps6SwwXW | 7,522 | Preserve formatting in concatenated IterableDataset | {
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"merged_at": "2025-05-07T14:17... | ## Task
Support bytes-like objects (bytes and bytearray) in Features classes
### Description
The `Features` classes only accept `bytes` objects for binary data, but not `bytearray`. This leads to errors when using `IterableDataset.from_spark()` with Spark DataFrames as they contain `bytearray` objects, even though... | {
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I would like to be able to update items in my dataset without affecting all rows. At least if there was a range option, I would be able to process those items, save the dataset, and then continue.
If I am supposed to split the dataset first, that is not clear, since the docs suggest that any of th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7518/comments | https://api.github.com/repos/huggingface/datasets/issues/7518/events | https://github.com/huggingface/datasets/issues/7518 | 2,996,141,825 | I_kwDODunzps6ylX8B | 7,518 | num_proc parallelization works only for first ~10s. | {
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When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for most cores.
### Steps to reproduce the bug
```
// do... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7517 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7517/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7517/comments | https://api.github.com/repos/huggingface/datasets/issues/7517/events | https://github.com/huggingface/datasets/issues/7517 | 2,996,106,077 | I_kwDODunzps6ylPNd | 7,517 | Image Feature in Datasets Library Fails to Handle bytearray Objects from Spark DataFrames | {
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"followers_url": "https://api.github.com/... | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When using `IterableDataset.from_spark()` with a Spark DataFrame containing image data, the `Image` feature class fails to properly process this data type, causing an `AttributeError: 'bytearray' object has no attribute 'get'`
### Steps to reproduce the bug
1. Create a Spark DataFrame with a col... | {
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https://api.github.com/repos/huggingface/datasets/issues/7516 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7516/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7516/comments | https://api.github.com/repos/huggingface/datasets/issues/7516/events | https://github.com/huggingface/datasets/issues/7516 | 2,995,780,283 | I_kwDODunzps6yj_q7 | 7,516 | unsloth/DeepSeek-R1-Distill-Qwen-32B server error | {
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hfhubhttperror: 500 server error: internal server error for url: https://huggingface.co/api/models/unsloth/deepseek-r1-distill-qwen-32b-bnb-4bit/commits/main (request id: root=1-67fe23fa-3a2150eb444c2a823c388579;de3aed68-c397-4da5-94d4-6565efd3b919) internal error - we're working hard to fix this ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7515/comments | https://api.github.com/repos/huggingface/datasets/issues/7515/events | https://github.com/huggingface/datasets/issues/7515 | 2,995,082,418 | I_kwDODunzps6yhVSy | 7,515 | `concatenate_datasets` does not preserve Pytorch format for IterableDataset | {
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When concatenating datasets with `concatenate_datasets`, I would expect the resulting combined dataset to be in the same format as the inputs (assuming it's consistent). This is indeed the behavior when combining `Dataset`, but not when combining `IterableDataset`. Specifically, when applying `con... | {
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https://api.github.com/repos/huggingface/datasets/issues/7514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7514/comments | https://api.github.com/repos/huggingface/datasets/issues/7514/events | https://github.com/huggingface/datasets/pull/7514 | 2,994,714,923 | PR_kwDODunzps6Sk7Et | 7,514 | Do not hash `generator` in `BuilderConfig.create_config_id` | {
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https://api.github.com/repos/huggingface/datasets/issues/7513 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7513/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7513/comments | https://api.github.com/repos/huggingface/datasets/issues/7513/events | https://github.com/huggingface/datasets/issues/7513 | 2,994,678,437 | I_kwDODunzps6yfyql | 7,513 | MemoryError while creating dataset from generator | {
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# TL:DR
`Dataset.from_generator` function passes all of its arguments to `BuilderConfig.create_config_id`, including `generator` function itself. `BuilderConfig.create_config_id` function tries to hash all the args, which can take a large amount of time or even cause MemoryError if the dataset pr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7512/comments | https://api.github.com/repos/huggingface/datasets/issues/7512/events | https://github.com/huggingface/datasets/issues/7512 | 2,994,043,544 | I_kwDODunzps6ydXqY | 7,512 | .map() fails if function uses pyvista | {
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Using PyVista inside a .map() produces a crash with `objc[78796]: +[NSResponder initialize] may have been in progress in another thread when fork() was called. We cannot safely call it or ignore it in the fork() child process. Crashing instead. Set a breakpoint on objc_initializeAfterForkError to ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7510/comments | https://api.github.com/repos/huggingface/datasets/issues/7510/events | https://github.com/huggingface/datasets/issues/7510 | 2,992,131,117 | I_kwDODunzps6yWEwt | 7,510 | Incompatibile dill version (0.3.9) in datasets 2.18.0 - 3.5.0 | {
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Datasets 2.18.0 - 3.5.0 has a dependency on dill < 0.3.9. This causes errors with dill >= 0.3.9.
Could you please take a look into it and make it compatible?
### Steps to reproduce the bug
1. Install setuptools >= 2.18.0
2. Install dill >=0.3.9
3. Run pip check
4. Output:
ERROR: pip's dependenc... | {
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https://api.github.com/repos/huggingface/datasets/issues/7509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7509/comments | https://api.github.com/repos/huggingface/datasets/issues/7509/events | https://github.com/huggingface/datasets/issues/7509 | 2,991,484,542 | I_kwDODunzps6yTm5- | 7,509 | Dataset uses excessive memory when loading files | {
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Hi
I am having an issue when loading a dataset.
I have about 200 json files each about 1GB (total about 215GB). each row has a few features which are a list of ints.
I am trying to load the dataset using `load_dataset`.
The dataset is about 1.5M samples
I use `num_proc=32` and a node with 378GB of... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7508/comments | https://api.github.com/repos/huggingface/datasets/issues/7508/events | https://github.com/huggingface/datasets/issues/7508 | 2,986,612,934 | I_kwDODunzps6yBBjG | 7,508 | Iterating over Image feature columns is extremely slow | {
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"url": "https://api.github.com/users/sohamparikh",
"html_url": "https://github.com/sohamparikh",
"followers_url": "https://api.github.com/... | [] | open | false | [] | null | 2 | 2025-04-10T19:00:54 | 2025-04-15T17:57:08 | null | null | NONE | [] | null | null | null | null | We are trying to load datasets where the image column stores `PIL.PngImagePlugin.PngImageFile` images. However, iterating over these datasets is extremely slow.
What I have found:
1. It is the presence of the image column that causes the slowdown. Removing the column from the dataset results in blazingly fast (as expe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7507/comments | https://api.github.com/repos/huggingface/datasets/issues/7507/events | https://github.com/huggingface/datasets/issues/7507 | 2,984,309,806 | I_kwDODunzps6x4PQu | 7,507 | Front-end statistical data quantity deviation | {
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"followers_url": "https://api.github.com/users/ran... | [] | open | false | [] | null | 1 | 2025-04-10T02:51:38 | 2025-04-15T12:54:51 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
While browsing the dataset at https://huggingface.co/datasets/NeuML/wikipedia-20250123, I noticed that a dataset with nearly 7M entries was estimated to be only 4M in size—almost half the actual amount. According to the post-download loading and the dataset_info (https://huggingface.co/datasets/Ne... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7506 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7506/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7506/comments | https://api.github.com/repos/huggingface/datasets/issues/7506/events | https://github.com/huggingface/datasets/issues/7506 | 2,981,687,450 | I_kwDODunzps6xuPCa | 7,506 | HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access Fineweb-10BT on 4A100 GPUs using SLURM | {
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"followers_url": "https://api.github.c... | [] | open | false | [] | null | 2 | 2025-04-09T06:32:04 | 2025-06-29T06:04:59 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I am trying to run some finetunings on 4 A100 GPUs using SLURM using axolotl training framework which in turn uses Huggingface's Trainer and Accelerate on [Fineweb-10BT](https://huggingface.co/datasets/HuggingFaceFW/fineweb), but I end up running into 429 Client Error: Too Many Requests for URL er... | null | {
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