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cc: @lhoestq | {
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} | This PR attempts to keep track of non_nullable pyarrow fields when converting a `pa.Schema` to `Features`. At the same time, when outputting the `arrow_schema`, the original non-nullable fields are restored. This allows for more consistent behavior and avoids breaking behavior as illustrated in #7479.
I am by no mea... | {
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```
In [6]: ds = datasets.load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft[:1000]")
In [7]: ds = datasets.load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft[:1_000]")
[dozens of frames skipped]
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https://api.github.com/repos/huggingface/datasets/issues/7480 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7480/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7480/comments | https://api.github.com/repos/huggingface/datasets/issues/7480/events | https://github.com/huggingface/datasets/issues/7480 | 2,950,315,214 | I_kwDODunzps6v2jzO | 7,480 | HF_DATASETS_CACHE ignored? | {
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I'm struggling to get things to respect HF_DATASETS_CACHE.
Rationale: I'm on a system that uses NFS for homedir, so downloading to NFS is expensive, slow, and wastes valuable quota compared to local disk. Instead, it seems to rely mostly on HF_HUB_CACHE.
Current version: 3.2.1dev. In the process... | null | {
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I came across this, perhaps niche, bug where `Features` does not/cannot account for pyarrow's `nullable=False` option in Fields. Interestingly, I found that in regular "flat" fields this does not necessarily lead to conflicts, but when a non-nullable field is in a struct, an incompatibility arises... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | It appears there have been two releases of fsspec since this dependency was last updated, it would be great if Datasets could be updated so that it didn't hold back the usage of newer fsspec versions in consuming projects.
PR based on https://github.com/huggingface/datasets/pull/7352 | {
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Parquet would be the obvious answer except that there is no native support for writing sharded, parquet datasets concurrently [[1](https:... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7475/comments | https://api.github.com/repos/huggingface/datasets/issues/7475/events | https://github.com/huggingface/datasets/issues/7475 | 2,946,640,570 | I_kwDODunzps6voiq6 | 7,475 | IterableDataset's state_dict shard_example_idx is always equal to the number of samples in a shard | {
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"following_url": "https://api.github.com/users/Harry-Yang0518/following{/ot... | null | 10 | 2025-03-25T13:58:07Z | 2025-12-12T16:15:37Z | 2025-05-06T14:05:07Z | {
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... | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
I've noticed a strange behaviour with Iterable state_dict: the value of shard_example_idx is always equal to the amount of samples in a shard.
### Steps to reproduce the bug
I am reusing the example from the doc
```python
from datasets import Dataset
ds = Dataset.from_dict({"a": range(6)}).to_... | {
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https://api.github.com/repos/huggingface/datasets/issues/7474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7474/comments | https://api.github.com/repos/huggingface/datasets/issues/7474/events | https://github.com/huggingface/datasets/pull/7474 | 2,945,066,258 | PR_kwDODunzps6P91lM | 7,474 | Remove conditions for Python < 3.9 | {
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https://api.github.com/repos/huggingface/datasets/issues/7473 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7473/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7473/comments | https://api.github.com/repos/huggingface/datasets/issues/7473/events | https://github.com/huggingface/datasets/issues/7473 | 2,939,034,643 | I_kwDODunzps6vLhwT | 7,473 | Webdataset data format problem | {
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Please see https://huggingface.co/datasets/ejschwartz/idioms/discussions/1
Error code: FileFormatMismatchBetweenSplitsError
All three splits, train, test, and validation, use webdataset. But only the train split has more than one file. How can I force the other two splits to also be interpreted ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7472/comments | https://api.github.com/repos/huggingface/datasets/issues/7472/events | https://github.com/huggingface/datasets/issues/7472 | 2,937,607,272 | I_kwDODunzps6vGFRo | 7,472 | Label casting during `map` process is canceled after the `map` process | {
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"following_url": "https://api.github.com/users/yoshitomo-matsubara/following{/... | [] | closed | false | [] | null | 6 | 2025-03-21T07:56:22Z | 2025-04-10T05:11:15Z | 2025-04-10T05:11:14Z | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When preprocessing a multi-label dataset, I introduced a step to convert int labels to float labels as [BCEWithLogitsLoss](https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html) expects float labels and forward function of models in transformers package internally use `BCEWithL... | {
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https://api.github.com/repos/huggingface/datasets/issues/7471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7471/comments | https://api.github.com/repos/huggingface/datasets/issues/7471/events | https://github.com/huggingface/datasets/issues/7471 | 2,937,530,069 | I_kwDODunzps6vFybV | 7,471 | Adding argument to `_get_data_files_patterns` | {
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] | closed | false | [] | null | 3 | 2025-03-21T07:17:53Z | 2025-03-27T12:30:52Z | 2025-03-26T07:26:27Z | null | NONE | [] | null | null | null | null | ### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of images for the local files.
However, due to sear... | {
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https://api.github.com/repos/huggingface/datasets/issues/7470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7470/comments | https://api.github.com/repos/huggingface/datasets/issues/7470/events | https://github.com/huggingface/datasets/issues/7470 | 2,937,236,323 | I_kwDODunzps6vEqtj | 7,470 | Is it possible to shard a single-sharded IterableDataset? | {
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Say we have a process, eg. a database query, that can return data in slightly different order each time. So, the initial query needs to be run by a single thread (not to mention running multiple times incurs mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/7469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7469/comments | https://api.github.com/repos/huggingface/datasets/issues/7469/events | https://github.com/huggingface/datasets/issues/7469 | 2,936,606,080 | I_kwDODunzps6vCQ2A | 7,469 | Custom split name with the web interface | {
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According the doc here: https://huggingface.co/docs/hub/datasets-file-names-and-splits#custom-split-name
it should infer the split name from the subdir of data or the beg of the name of the files in data.
When doing this manually through web upload it does not work. it uses "train" as a unique spl... | {
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https://api.github.com/repos/huggingface/datasets/issues/7468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7468/comments | https://api.github.com/repos/huggingface/datasets/issues/7468/events | https://github.com/huggingface/datasets/issues/7468 | 2,934,094,103 | I_kwDODunzps6u4rkX | 7,468 | function `load_dataset` can't solve folder path with regex characters like "[]" | {
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When using the `load_dataset` function with a folder path containing regex special characters (such as "[]"), the issue occurs due to how the path is handled in the `resolve_pattern` function. This function passes the unprocessed path directly to `AbstractFileSystem.glob`, which supports regular e... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7467/comments | https://api.github.com/repos/huggingface/datasets/issues/7467/events | https://github.com/huggingface/datasets/issues/7467 | 2,930,067,107 | I_kwDODunzps6upUaj | 7,467 | load_dataset with streaming hangs on parquet datasets | {
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When I try to load a dataset with parquet files (e.g. "bigcode/the-stack") the dataset loads, but python interpreter can't exit and hangs
### Steps to reproduce the bug
```python3
import datasets
print('Start')
dataset = datasets.load_dataset("bigcode/the-stack", data_dir="data/yaml", streaming... | {
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https://api.github.com/repos/huggingface/datasets/issues/7466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7466/comments | https://api.github.com/repos/huggingface/datasets/issues/7466/events | https://github.com/huggingface/datasets/pull/7466 | 2,928,661,327 | PR_kwDODunzps6PHQyp | 7,466 | Fix local pdf loading | {
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```
File ~/.pyenv/versions/3.12.2/envs/hf-datasets/lib/python3.12/site-packages/pdfminer/psparser.py:220, in PSBaseParser.seek(self, pos)
218 """Seeks the parser to the given position."""
219 log.debug("seek: %r", pos)
--> 220 self.fp.seek(pos)
221 # reset t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7463/comments | https://api.github.com/repos/huggingface/datasets/issues/7463/events | https://github.com/huggingface/datasets/pull/7463 | 2,925,924,452 | PR_kwDODunzps6O-I6K | 7,463 | Adds EXR format to store depth images in float32 | {
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} | This PR adds the EXR feature to store depth images (or can be normals, etc) in float32.
It relies on [openexr_numpy](https://github.com/martinResearch/openexr_numpy/tree/main) to manipulate EXR images.
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https://api.github.com/repos/huggingface/datasets/issues/7461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7461/comments | https://api.github.com/repos/huggingface/datasets/issues/7461/events | https://github.com/huggingface/datasets/issues/7461 | 2,925,608,123 | I_kwDODunzps6uYTy7 | 7,461 | List of images behave differently on IterableDataset and Dataset | {
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This code:
```python
def train_iterable_gen():
images = np.array(load_image("https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg").resize((128, 128)))
yield {
"images": np.expand_dims(images, axis=0),
"messages": [
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https://api.github.com/repos/huggingface/datasets/issues/7460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7460/comments | https://api.github.com/repos/huggingface/datasets/issues/7460/events | https://github.com/huggingface/datasets/pull/7460 | 2,925,605,865 | PR_kwDODunzps6O9Ccc | 7,460 | release: 3.4.1 | {
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https://api.github.com/repos/huggingface/datasets/issues/7459 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7459/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7459/comments | https://api.github.com/repos/huggingface/datasets/issues/7459/events | https://github.com/huggingface/datasets/pull/7459 | 2,925,491,766 | PR_kwDODunzps6O8pWp | 7,459 | Fix data_files filtering | {
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"gists_url": "https:... | NONE | [] | null | null | null | null | ### Describe the bug
Loading https://huggingface.co/datasets/laion/filtered-wit in streaming mode fails after update to `datasets==3.4.0`. The dataset loads fine on v3.3.2.
### Steps to reproduce the bug
Steps to reproduce:
```
pip install datastes==3.4.0
python -c "from datasets import load_dataset; load_dataset('l... | {
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... | NONE | [] | null | null | null | null | ### Feature request
Hello,
I have a use case where my team is sharing models and dataset in shared directory to avoid duplication.
I noticed that the [cache documentation for datasets](https://huggingface.co/docs/datasets/main/en/cache) only mention the `HF_HOME` environment variable but never the `HF_DATASETS_CACHE`... | {
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At Google Colab
```!pip install faiss-cpu``` works
```import faiss``` no error
but
```embeddings_dataset.add_faiss_index(column='embeddings')```
returns
```
[/usr/local/lib/python3.11/dist-packages/datasets/search.py](https://localhost:8080/#) in init(self, device, string_factory, metric_type, cus... | null | {
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I was not able to open a local saved dataset anymore that was created using an older datasets version after the upgrade yesterday from datasets 3.3.2 to 3.4.0
The traceback is
```
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/arrow/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7450/comments | https://api.github.com/repos/huggingface/datasets/issues/7450/events | https://github.com/huggingface/datasets/pull/7450 | 2,916,681,414 | PR_kwDODunzps6OfMKs | 7,450 | Add IterableDataset.decode with multithreading | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Useful for dataset streaming for multimodal datasets, and especially for lerobot.
It speeds up streaming up to 20 times.
When decoding is enabled (default), media types are decoded:
* audio -> dict of "array" and "sampling_rate" and "path"
* image -> PIL.Image
* video -> torchvision.io.VideoReader
You can e... | {
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https://api.github.com/repos/huggingface/datasets/issues/7449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7449/comments | https://api.github.com/repos/huggingface/datasets/issues/7449/events | https://github.com/huggingface/datasets/issues/7449 | 2,916,235,092 | I_kwDODunzps6t0jdU | 7,449 | Cannot load data with different schemas from different parquet files | {
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Cannot load samples with optional fields from different files. The schema cannot be correctly derived.
### Steps to reproduce the bug
When I place two samples with an optional field `some_extra_field` within a single parquet file, it can be loaded via `load_dataset`.
```python
import pandas as ... | {
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I tried `datasets.disable_caching`, but it doesn't work! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7447/comments | https://api.github.com/repos/huggingface/datasets/issues/7447/events | https://github.com/huggingface/datasets/issues/7447 | 2,915,233,248 | I_kwDODunzps6twu3g | 7,447 | Epochs shortened after resuming mid-epoch with Iterable dataset+StatefulDataloader(persistent_workers=True) | {
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When `torchdata.stateful_dataloader.StatefulDataloader(persistent_workers=True)` the epochs after resuming only iterate through the examples that were left in the epoch when the training was interrupted. For example, in the script below training is interrupted on step 124 (epoch 1) when 3 batches ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7446/comments | https://api.github.com/repos/huggingface/datasets/issues/7446/events | https://github.com/huggingface/datasets/issues/7446 | 2,913,050,552 | I_kwDODunzps6toZ-4 | 7,446 | pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int' | {
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A dict with its keys are all str but get following error
```python
test_data=[{'input_ids':[1,2,3],'labels':[[Counter({2:1})]]}]
dataset = datasets.Dataset.from_list(test_data)
```
```bash
pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int'
```
### Steps to reproduce the... | {
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https://api.github.com/repos/huggingface/datasets/issues/7445 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7445/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7445/comments | https://api.github.com/repos/huggingface/datasets/issues/7445/events | https://github.com/huggingface/datasets/pull/7445 | 2,911,507,923 | PR_kwDODunzps6ONygU | 7,445 | Fix small bugs with async map | {
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- fix with_indices
- fix resuming with save_state_dict() / load_state_dict() - omg that wasn't easy
- remove unnecessary decoding in map() to enable parallelism in FormattedExampleIterable l... | {
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https://api.github.com/repos/huggingface/datasets/issues/7444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7444/comments | https://api.github.com/repos/huggingface/datasets/issues/7444/events | https://github.com/huggingface/datasets/issues/7444 | 2,911,202,445 | I_kwDODunzps6thWyN | 7,444 | Excessive warnings when resuming an IterableDataset+buffered shuffle+DDP. | {
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I have a large dataset that I shared into 1024 shards and save on the disk during pre-processing. During training, I load the dataset using load_from_disk() and convert it into an iterable dataset, shuffle it and split the shards to different DDP nodes using the recommended method.
However, when ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7443/comments | https://api.github.com/repos/huggingface/datasets/issues/7443/events | https://github.com/huggingface/datasets/issues/7443 | 2,908,585,656 | I_kwDODunzps6tXX64 | 7,443 | index error when num_shards > len(dataset) | {
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I frequently... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7442/comments | https://api.github.com/repos/huggingface/datasets/issues/7442/events | https://github.com/huggingface/datasets/issues/7442 | 2,905,543,017 | I_kwDODunzps6tLxFp | 7,442 | Flexible Loader | {
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Can we have a utility function that will use `load_from_disk` when given the local path and `load_dataset` if given an HF dataset?
It can be something as simple as this one:
```
def load_hf_dataset(path_or_name):
if os.path.exists(path_or_name):
return load_from_disk(path_or_name)
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https://api.github.com/repos/huggingface/datasets/issues/7441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7441/comments | https://api.github.com/repos/huggingface/datasets/issues/7441/events | https://github.com/huggingface/datasets/issues/7441 | 2,904,702,329 | I_kwDODunzps6tIj15 | 7,441 | `drop_last_batch` does not drop the last batch using IterableDataset + interleave_datasets + multi_worker | {
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See the script below
`drop_last_batch=True` is defined using map() for each dataset.
The last batch for each dataset is expected to be dropped, id 21-25.
The code behaves as expected when num_workers=0 or 1.
When using num_workers>1, 'a-11', 'b-11', 'a-12', 'b-12' are gone and instead 21 and 22 a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7440/comments | https://api.github.com/repos/huggingface/datasets/issues/7440/events | https://github.com/huggingface/datasets/issues/7440 | 2,903,740,662 | I_kwDODunzps6tE5D2 | 7,440 | IterableDataset raises FileNotFoundError instead of retrying | {
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In https://github.com/huggingface/datasets/issues/6843 it was noted that the streaming feature of `datasets` is highly susceptible to outages and doesn't back off for long (or even *at all*).
I was training a model while streaming SlimPajama and training crashed with a `FileNotFoundError`. I can ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7439/comments | https://api.github.com/repos/huggingface/datasets/issues/7439/events | https://github.com/huggingface/datasets/pull/7439 | 2,900,143,289 | PR_kwDODunzps6NoCdD | 7,439 | Fix multi gpu process example | {
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} | to is not an inplace function.
But i am not sure about this code anyway, i think this is modifying the global variable `model` everytime the function is called? Which is on every batch? So it is juggling the same model on every gpu right? Isnt that very inefficient? | {
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https://api.github.com/repos/huggingface/datasets/issues/7438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7438/comments | https://api.github.com/repos/huggingface/datasets/issues/7438/events | https://github.com/huggingface/datasets/pull/7438 | 2,899,209,484 | PR_kwDODunzps6Nk37h | 7,438 | Allow dataset row indexing with np.int types (#7423) | {
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Proposed fix for #7423. Added a couple simple tests as requested. I had some test failures related to Java and pyspark even when installing with dev but these don't seem to be related to the changes here and fail for me even on clean main.
The typeerror raised when using the wrong type is: "Wrong key type... | {
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https://api.github.com/repos/huggingface/datasets/issues/7436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7436/comments | https://api.github.com/repos/huggingface/datasets/issues/7436/events | https://github.com/huggingface/datasets/pull/7436 | 2,898,385,725 | PR_kwDODunzps6NiArv | 7,436 | chore: fix typos | {
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https://api.github.com/repos/huggingface/datasets/issues/7435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7435/comments | https://api.github.com/repos/huggingface/datasets/issues/7435/events | https://github.com/huggingface/datasets/pull/7435 | 2,895,536,956 | PR_kwDODunzps6NYUnr | 7,435 | Refactor `string_to_dict` to return `None` if there is no match instead of raising `ValueError` | {
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* https://github.com/huggingface/datasets/pull/7434#discussion_r1979933054
instead of having the pattern of using `try`-`except` to handle when there is no match, we can instead check if the return value is `None`; we can also assert that the return value should not be `Non... | {
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https://api.github.com/repos/huggingface/datasets/issues/7434 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7434/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7434/comments | https://api.github.com/repos/huggingface/datasets/issues/7434/events | https://github.com/huggingface/datasets/pull/7434 | 2,893,075,908 | PR_kwDODunzps6NP-vn | 7,434 | Refactor `Dataset.map` to reuse cache files mapped with different `num_proc` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #7433
This refactor unifies `num_proc is None or num_proc == 1` and `num_proc > 1`; instead of handling them completely separately where one uses a list of kwargs and shards and the other just uses a single set of kwargs and `self`, by wrapping the `num_proc == 1` case in a list and making the difference just ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7433 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7433/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7433/comments | https://api.github.com/repos/huggingface/datasets/issues/7433/events | https://github.com/huggingface/datasets/issues/7433 | 2,890,240,400 | I_kwDODunzps6sRZGQ | 7,433 | `Dataset.map` ignores existing caches and remaps when ran with different `num_proc` | {
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If you `map` a dataset and save it to a specific `cache_file_name` with a specific `num_proc`, and then call map again with that same existing `cache_file_name` but a different `num_proc`, the dataset will be re-mapped.
### Steps to reproduce the bug
1. Download a dataset
```python
import datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/7432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7432/comments | https://api.github.com/repos/huggingface/datasets/issues/7432/events | https://github.com/huggingface/datasets/pull/7432 | 2,887,717,289 | PR_kwDODunzps6M-DI0 | 7,432 | Fix type annotation | {
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https://api.github.com/repos/huggingface/datasets/issues/7431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7431/comments | https://api.github.com/repos/huggingface/datasets/issues/7431/events | https://github.com/huggingface/datasets/issues/7431 | 2,887,244,074 | I_kwDODunzps6sF9kq | 7,431 | Issues with large Datasets | {
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"following_url": "https://api.github.com/users/nikitabelooussovbtis/followi... | [] | open | false | [] | null | 4 | 2025-02-28T14:05:22Z | 2025-03-04T15:02:26Z | null | null | NONE | [] | null | null | null | null | ### Describe the bug
If the coco annotation file is too large the dataset will not be able to load it, not entirely sure were the issue is but I am guessing it is due to the code trying to load it all as one line into a dataframe. This was for object detections.
My current work around is the following code but would ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7430/comments | https://api.github.com/repos/huggingface/datasets/issues/7430/events | https://github.com/huggingface/datasets/issues/7430 | 2,886,922,573 | I_kwDODunzps6sEvFN | 7,430 | Error in code "Time to slice and dice" from course "NLP Course" | {
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When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be like this
condition | frequency
birth control | 27655
dep... | {
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https://api.github.com/repos/huggingface/datasets/issues/7429 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7429/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7429/comments | https://api.github.com/repos/huggingface/datasets/issues/7429/events | https://github.com/huggingface/datasets/pull/7429 | 2,886,806,513 | PR_kwDODunzps6M67Jd | 7,429 | Improved type annotation | {
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} | I've refined several type annotations throughout the codebase to align with current best practices and enhance overall clarity. Given the complexity of the code, there may still be areas that need further attention. I welcome any feedback or suggestions to make these improvements even better.
- Fixes #7202 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7428 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7428/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7428/comments | https://api.github.com/repos/huggingface/datasets/issues/7428/events | https://github.com/huggingface/datasets/pull/7428 | 2,886,111,651 | PR_kwDODunzps6M4kW8 | 7,428 | Use pyupgrade --py39-plus | {
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https://api.github.com/repos/huggingface/datasets/issues/7427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7427/comments | https://api.github.com/repos/huggingface/datasets/issues/7427/events | https://github.com/huggingface/datasets/issues/7427 | 2,886,032,571 | I_kwDODunzps6sBVy7 | 7,427 | Error splitting the input into NAL units. | {
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I am trying to finetune qwen2.5-vl on 16 * 80G GPUS, and I use `LLaMA-Factory` and set `preprocessing_num_workers=16`. However, I met the following error and the program seem to got crush. It seems that the error come from `datasets` library
The error logging is like following:
```text
Convertin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7426/comments | https://api.github.com/repos/huggingface/datasets/issues/7426/events | https://github.com/huggingface/datasets/pull/7426 | 2,883,754,507 | PR_kwDODunzps6Mwe6B | 7,426 | fix: None default with bool type on load creates typing error | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hello!
Pyright flags any use of `load_dataset` as an error, because the default for `trust_remote_code` is `None`, but the function is typed as `bool`, not `Optional[bool]`. I changed the type and docstrings to reflect this, but no other code was touched.
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https://api.github.com/repos/huggingface/datasets/issues/7425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7425/comments | https://api.github.com/repos/huggingface/datasets/issues/7425/events | https://github.com/huggingface/datasets/issues/7425 | 2,883,684,686 | I_kwDODunzps6r4YlO | 7,425 | load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable | {
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from datasets import load_dataset
lcb_codegen = load_dataset("livecodebench/code_generation_lite", version_tag="release_v2")
or
configs = get_dataset_config_names("livecodebench/code_generation_lite", trust_remote_code=True)
both error:
Traceback (most recent call last):
File "", line 1, in
File... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7424/comments | https://api.github.com/repos/huggingface/datasets/issues/7424/events | https://github.com/huggingface/datasets/pull/7424 | 2,882,663,621 | PR_kwDODunzps6Ms1Qx | 7,424 | Faster folder based builder + parquet support + allow repeated media + use torchvideo | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This will be useful for LeRobotDataset (robotics datasets for [lerobot](https://github.com/huggingface/lerobot) based on videos)
Impacted builders:
- ImageFolder
- AudioFolder
- VideoFolder
Improvements:
- faster to stream (got a 5x speed up on an image dataset)
- improved RAM usage
- support for metadata.p... | {
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https://api.github.com/repos/huggingface/datasets/issues/7423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7423/comments | https://api.github.com/repos/huggingface/datasets/issues/7423/events | https://github.com/huggingface/datasets/issues/7423 | 2,879,271,409 | I_kwDODunzps6rnjHx | 7,423 | Row indexing a dataset with numpy integers | {
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] | closed | false | [] | null | 1 | 2025-02-25T18:44:45Z | 2025-07-28T02:23:17Z | 2025-07-28T02:23:17Z | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | {
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https://api.github.com/repos/huggingface/datasets/issues/7421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7421/comments | https://api.github.com/repos/huggingface/datasets/issues/7421/events | https://github.com/huggingface/datasets/issues/7421 | 2,878,369,052 | I_kwDODunzps6rkG0c | 7,421 | DVC integration broken | {
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The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7420/comments | https://api.github.com/repos/huggingface/datasets/issues/7420/events | https://github.com/huggingface/datasets/issues/7420 | 2,876,281,928 | I_kwDODunzps6rcJRI | 7,420 | better correspondence between cached and saved datasets created using from_generator | {
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] | open | false | [] | null | 3 | 2025-02-24T22:14:37Z | 2026-01-05T15:16:35Z | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
At the moment `.from_generator` can only create a dataset that lives in the cache. The cached dataset cannot be loaded with `load_from_disk` because the cache folder is missing `state.json`. So the only way to convert this cached dataset to a regular is to use `save_to_disk` which needs to create a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7419/comments | https://api.github.com/repos/huggingface/datasets/issues/7419/events | https://github.com/huggingface/datasets/issues/7419 | 2,875,635,320 | I_kwDODunzps6rZrZ4 | 7,419 | Import order crashes script execution | {
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"gist... | [] | open | false | [] | null | 0 | 2025-02-24T17:03:43Z | 2025-02-24T17:03:43Z | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
π
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7418/comments | https://api.github.com/repos/huggingface/datasets/issues/7418/events | https://github.com/huggingface/datasets/issues/7418 | 2,868,701,471 | I_kwDODunzps6q_Okf | 7,418 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | {
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Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
system_prompt="You are a helpful... | {
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https://api.github.com/repos/huggingface/datasets/issues/7417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7417/comments | https://api.github.com/repos/huggingface/datasets/issues/7417/events | https://github.com/huggingface/datasets/pull/7417 | 2,866,868,922 | PR_kwDODunzps6L78k3 | 7,417 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7415/comments | https://api.github.com/repos/huggingface/datasets/issues/7415/events | https://github.com/huggingface/datasets/issues/7415 | 2,865,774,546 | I_kwDODunzps6q0D_S | 7,415 | Shard Dataset at specific indices | {
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https://api.github.com/repos/huggingface/datasets/issues/7413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7413/comments | https://api.github.com/repos/huggingface/datasets/issues/7413/events | https://github.com/huggingface/datasets/issues/7413 | 2,860,947,582 | I_kwDODunzps6qhph- | 7,413 | Documentation on multiple media files of the same type with WebDataset | {
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https://api.github.com/repos/huggingface/datasets/issues/7412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7412/comments | https://api.github.com/repos/huggingface/datasets/issues/7412/events | https://github.com/huggingface/datasets/issues/7412 | 2,859,433,710 | I_kwDODunzps6qb37u | 7,412 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | {
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I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
IndexError: Invalid key: 1840208 is out of b... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | https://github.com/huggingface/datasets/issues/6393 has plagued me on and off for a very long time. I have had various workarounds (one time combining two filter calls into one filter call removed the issue, another time making rank 0 go first resolved a cache race condition, one time i think upgrading the version of s... | {
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https://api.github.com/repos/huggingface/datasets/issues/7407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7407/comments | https://api.github.com/repos/huggingface/datasets/issues/7407/events | https://github.com/huggingface/datasets/pull/7407 | 2,856,517,442 | PR_kwDODunzps6LY7y5 | 7,407 | Update use_with_pandas.mdx: to_pandas() correction in last section | {
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I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | {
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https://api.github.com/repos/huggingface/datasets/issues/7405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7405/comments | https://api.github.com/repos/huggingface/datasets/issues/7405/events | https://github.com/huggingface/datasets/issues/7405 | 2,856,372,814 | I_kwDODunzps6qQMpO | 7,405 | Lazy loading of environment variables | {
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Loading a `.env` file after an `import datasets` call does not correctly use the environment variables.
This is due the fact that environment variables are read at import time:
https://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/config.py#L155C1-L15... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7404/comments | https://api.github.com/repos/huggingface/datasets/issues/7404/events | https://github.com/huggingface/datasets/issues/7404 | 2,856,366,207 | I_kwDODunzps6qQLB_ | 7,404 | Performance regression in `dataset.filter` | {
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We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7399/comments | https://api.github.com/repos/huggingface/datasets/issues/7399/events | https://github.com/huggingface/datasets/issues/7399 | 2,853,098,442 | I_kwDODunzps6qDtPK | 7,399 | Synchronize parameters for various datasets | {
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[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7400/comments | https://api.github.com/repos/huggingface/datasets/issues/7400/events | https://github.com/huggingface/datasets/issues/7400 | 2,853,201,277 | I_kwDODunzps6qEGV9 | 7,400 | 504 Gateway Timeout when uploading large dataset to Hugging Face Hub | {
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I encountered consistent 504 Gateway Timeout errors while attempting to upload a large dataset (approximately 500GB) to the Hugging Face Hub. The upload fails during the process with a Gateway Timeout error.
I will continue trying to upload. While it might succeed in future attempts, I wanted to report... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7395/comments | https://api.github.com/repos/huggingface/datasets/issues/7395/events | https://github.com/huggingface/datasets/pull/7395 | 2,851,575,160 | PR_kwDODunzps6LIivQ | 7,395 | Update docs | {
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- replace canonical dataset names with new names
- avoid examples with trust_remote_code | {
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https://api.github.com/repos/huggingface/datasets/issues/7394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7394/comments | https://api.github.com/repos/huggingface/datasets/issues/7394/events | https://github.com/huggingface/datasets/issues/7394 | 2,847,172,115 | I_kwDODunzps6ptGYT | 7,394 | Using load_dataset with data_files and split arguments yields an error | {
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... | [] | open | false | [] | null | 1 | 2025-02-12T04:50:11Z | 2025-11-21T14:05:23Z | null | null | NONE | [] | null | null | null | null | ### Describe the bug
It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
Va... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The change in https://github.com/huggingface/datasets/pull/3197 introduced redundant list-comprehensions when `obj` is a long sequence of scalars. This becomes a noticeable overhead when loading data from an `IterableDataset` in the function `_apply_feature_types_on_example` and can be eliminated by adding a check for ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7392/comments | https://api.github.com/repos/huggingface/datasets/issues/7392/events | https://github.com/huggingface/datasets/issues/7392 | 2,846,095,043 | I_kwDODunzps6po_bD | 7,392 | push_to_hub payload too large error when using large ClassLabel feature | {
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"g... | [] | open | false | [] | null | 1 | 2025-02-11T17:51:34Z | 2025-02-11T18:01:31Z | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7390/comments | https://api.github.com/repos/huggingface/datasets/issues/7390/events | https://github.com/huggingface/datasets/issues/7390 | 2,843,813,365 | I_kwDODunzps6pgSX1 | 7,390 | Re-add py.typed | {
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] | open | false | [] | null | 1 | 2025-02-10T22:12:52Z | 2025-08-10T00:51:17Z | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7389/comments | https://api.github.com/repos/huggingface/datasets/issues/7389/events | https://github.com/huggingface/datasets/issues/7389 | 2,843,592,606 | I_kwDODunzps6pfcee | 7,389 | Getting statistics about filtered examples | {
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Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | {
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https://api.github.com/repos/huggingface/datasets/issues/7388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7388/comments | https://api.github.com/repos/huggingface/datasets/issues/7388/events | https://github.com/huggingface/datasets/issues/7388 | 2,843,188,499 | I_kwDODunzps6pd50T | 7,388 | OSError: [Errno 22] Invalid argument forbidden character | {
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I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | {
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https://api.github.com/repos/huggingface/datasets/issues/7387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7387/comments | https://api.github.com/repos/huggingface/datasets/issues/7387/events | https://github.com/huggingface/datasets/issues/7387 | 2,841,228,048 | I_kwDODunzps6pWbMQ | 7,387 | Dynamic adjusting dataloader sampling weight | {
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Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7386/comments | https://api.github.com/repos/huggingface/datasets/issues/7386/events | https://github.com/huggingface/datasets/issues/7386 | 2,840,032,524 | I_kwDODunzps6pR3UM | 7,386 | Add bookfolder Dataset Builder for Digital Book Formats | {
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] | closed | false | [] | null | 1 | 2025-02-08T14:27:55Z | 2025-02-08T14:30:10Z | 2025-02-08T14:30:09Z | null | NONE | [] | null | null | null | null | ### Feature request
This feature proposes adding a new dataset builder called bookfolder to the datasets library. This builder would allow users to easily load datasets consisting of various digital book formats, including: AZW, AZW3, CB7, CBR, CBT, CBZ, EPUB, MOBI, and PDF.
### Motivation
Currently, loading dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/7385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7385/comments | https://api.github.com/repos/huggingface/datasets/issues/7385/events | https://github.com/huggingface/datasets/pull/7385 | 2,830,664,522 | PR_kwDODunzps6KBO6i | 7,385 | Make IterableDataset (optionally) resumable | {
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} | ### What does this PR do?
This PR introduces a new `stateful` option to the `dataset.shuffle` method, which defaults to `False`.
When enabled, this option allows for resumable shuffling of `IterableDataset` instances, albeit with some additional memory overhead.
Key points:
* All tests have passed
* Docstrings ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7384/comments | https://api.github.com/repos/huggingface/datasets/issues/7384/events | https://github.com/huggingface/datasets/pull/7384 | 2,828,208,828 | PR_kwDODunzps6J4wVi | 7,384 | Support async functions in map() | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | e.g. to download images or call an inference API like HF or vLLM
```python
import asyncio
import random
from datasets import Dataset
async def f(x):
await asyncio.sleep(random.random())
ds = Dataset.from_dict({"data": range(100)})
ds.map(f)
# Map: 100%|βββββββββββββββββββββββββββββ| 100/100 [00:0... | {
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https://api.github.com/repos/huggingface/datasets/issues/7382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7382/comments | https://api.github.com/repos/huggingface/datasets/issues/7382/events | https://github.com/huggingface/datasets/pull/7382 | 2,823,480,924 | PR_kwDODunzps6Jo69f | 7,382 | Add Pandas, PyArrow and Polars docs | {
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