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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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"I was able to work around it"
] | 2025-03-21T17:23:52 | 2025-03-21T19:19:58 | 2025-03-21T19:19:58 | NONE | null | {
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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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} | 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... | null | {
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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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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... | null | {
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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... | null | {
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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... | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7466). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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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/7464 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7464/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7464/comments | https://api.github.com/repos/huggingface/datasets/issues/7464/events | https://github.com/huggingface/datasets/pull/7464 | 2,926,478,838 | PR_kwDODunzps6PABJa | 7,464 | Minor fix for metadata files in extension counter | {
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"Hi ! I'mn wondering if this shouldn't this be an `Image()` type and decoded as a `PIL.Image` ?\r\n\r\nThis would make it easier to integrate with the rest of the HF ecosystem, and you could still get a numpy array using `ds = ds.with_format(\"numpy\")` which sets all the images to be formatted as numpy arrays"
] | 2025-03-17T17:42:40 | 2025-03-18T15:25:30 | null | NONE | null | {
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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.
| null | {
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https://api.github.com/repos/huggingface/datasets/issues/7462 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7462/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7462/comments | https://api.github.com/repos/huggingface/datasets/issues/7462/events | https://github.com/huggingface/datasets/pull/7462 | 2,925,612,945 | PR_kwDODunzps6O9EA1 | 7,462 | set dev version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7462). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-17T16:00:53 | 2025-03-17T16:03:31 | 2025-03-17T16:01:08 | MEMBER | null | {
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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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"Hi ! Can you try with `datasets` ^3.4 released recently ? on my side it works with IterableDataset on the recent version :)\n\n```python\nIn [20]: def train_iterable_gen():\n ...: images = np.array(load_image(\"https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg\")... | 2025-03-17T15:59:23 | 2025-03-18T08:57:17 | 2025-03-18T08:57:16 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7460). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-17T15:58:31 | 2025-03-17T16:01:14 | 2025-03-17T15:59:19 | MEMBER | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7459). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-17T15:20:21 | 2025-03-17T15:25:56 | 2025-03-17T15:25:54 | MEMBER | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7458 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7458/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7458/comments | https://api.github.com/repos/huggingface/datasets/issues/7458/events | https://github.com/huggingface/datasets/issues/7458 | 2,925,403,528 | I_kwDODunzps6uXh2I | 7,458 | Loading the `laion/filtered-wit` dataset in streaming mode fails on v3.4.0 | {
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"thanks for reporting, I released 3.4.1 with a fix"
] | 2025-03-17T14:54:02 | 2025-03-17T16:02:04 | 2025-03-17T15:25:55 | NONE | null | {
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} | 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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https://api.github.com/repos/huggingface/datasets/issues/7457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7457/comments | https://api.github.com/repos/huggingface/datasets/issues/7457/events | https://github.com/huggingface/datasets/issues/7457 | 2,924,886,467 | I_kwDODunzps6uVjnD | 7,457 | Document the HF_DATASETS_CACHE env variable | {
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"Strongly agree to this, in addition, I am also suffering to change the cache location similar to other issues (since I changed the environmental variables).\nhttps://github.com/huggingface/datasets/issues/6886",
"`HF_DATASETS_CACHE` should be documented there indeed, feel free to open a PR :) ",
"Hey, I’d love... | 2025-03-17T12:24:50 | 2025-03-20T10:36:46 | null | NONE | null | {
"total": 0,
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} | 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`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7456/comments | https://api.github.com/repos/huggingface/datasets/issues/7456/events | https://github.com/huggingface/datasets/issues/7456 | 2,922,676,278 | I_kwDODunzps6uNIA2 | 7,456 | .add_faiss_index and .add_elasticsearch_index returns ImportError at Google Colab | {
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"I can fix this.\nIt's mainly because faiss-gpu requires python<=3.10 but the default python version in colab is 3.11. We just have to downgrade the CPython version down to 3.10 and it should work fine.\n",
"I think I just had no chance to meet with faiss-cpu.\nIt could be import problem? \n_has_faiss gets its va... | 2025-03-16T00:51:49 | 2025-03-17T15:57:19 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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https://api.github.com/repos/huggingface/datasets/issues/7455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7455/comments | https://api.github.com/repos/huggingface/datasets/issues/7455/events | https://github.com/huggingface/datasets/issues/7455 | 2,921,933,250 | I_kwDODunzps6uKSnC | 7,455 | Problems with local dataset after upgrade from 3.3.2 to 3.4.0 | {
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"Hi ! I just released 3.4.1 with a fix, let me know if it's working now !"
] | 2025-03-15T09:22:50 | 2025-03-17T16:20:43 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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/7454 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7454/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7454/comments | https://api.github.com/repos/huggingface/datasets/issues/7454/events | https://github.com/huggingface/datasets/pull/7454 | 2,920,760,793 | PR_kwDODunzps6Os6bx | 7,454 | set dev version | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7450). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"merged_at": "2025-03-14T10:35... | 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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"Hi ! `load_dataset` expects all the data_files to have the same schema.\n\nMaybe you can try enforcing certain `features` using:\n\n```python\nfeatures = Features({\"conversations\": {'content': Value('string'), 'role': Value('string',)}})\nds = load_dataset(..., features=features)\n```",
"Thanks! It works if I ... | 2025-03-13T08:14:49 | 2025-03-17T07:27:48 | 2025-03-17T07:27:46 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"cc",
"Yes I have the same issue. It's a confusingly named function. See [here](https://github.com/huggingface/datasets/blob/main/src/datasets/fingerprint.py#L115-L130)\n\n```\n...\nIf disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.\n More precisely... | 2025-03-13T06:40:12 | 2025-03-22T04:37:07 | null | NONE | null | {
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} | null | null | null | When I use `Dataset.from_generator(my_gen)` to load my dataset, it simply skips my changes to the generator function.
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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"Thanks for reporting ! Maybe we should store the epoch in the state_dict, and then when the dataset is iterated on again after setting a new epoch it should restart from scratch instead of resuming ? wdyt ?",
"But why does this only happen when `persistent_workers=True`? I would expect it to work correctly even ... | 2025-03-12T21:41:05 | 2025-03-14T17:26:59 | 2025-03-14T10:50:10 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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} | null | null | null | ### Describe the bug
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... | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7445). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"merged_at": "2025-03-13T10:37... | helpful for the next PR to enable parallel image/audio/video decoding and make multimodal datasets go brr (e.g. for lerobot)
- 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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} | null | null | null | ### Describe the bug
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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"Actually, looking at the code a bit more carefully, maybe an even better solution is to explicitly set `num_shards=len(self)` somewhere inside both `push_to_hub()` and `save_to_disk()` when these functions are invoked with `num_shards > len(dataset)`."
] | 2025-03-10T22:40:59 | 2025-03-10T23:43:08 | null | NONE | null | {
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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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"Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?",
"> Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?\n\nThat would be perfect if not at least a flexible loader."
] | 2025-03-09T16:55:03 | 2025-03-17T20:35:07 | null | NONE | null | {
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} | null | null | null | ### Feature request
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)
... | null | {
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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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"Hi @memray, I’d like to help fix the issue with `drop_last_batch` not working when `num_workers > 1`. I’ll investigate and propose a solution. Thanks!\n",
"Thank you very much for offering to help! I also noticed a problem related to a previous issue and left a comment [here](https://github.com/huggingface/datas... | 2025-03-08T10:28:44 | 2025-03-09T21:27:33 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d55119... | 2025-03-07T19:14:18 | 2025-03-22T21:48:02 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"Okay nevermind looks like to works both ways for models. but my doubt still remains, isnt this changing the device of the model every batch?"
] | 2025-03-06T11:29:19 | 2025-03-06T17:07:28 | 2025-03-06T17:06:38 | NONE | null | {
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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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7437/comments | https://api.github.com/repos/huggingface/datasets/issues/7437/events | https://github.com/huggingface/datasets/pull/7437 | 2,899,104,679 | PR_kwDODunzps6Nkhla | 7,437 | Use pyupgrade --py39-plus for remaining files | {
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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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"cc: @lhoestq ",
"I am going to rebase #7434 onto this branch. Then we can merge this one first if you approve, and then #7434.",
"@lhoestq any thoughts here?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7435). All of your documentation changes will be reflected on ... | 2025-03-04T22:01:20 | 2025-03-12T16:52:00 | 2025-03-12T16:52:00 | CONTRIBUTOR | null | {
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"merged_at": "2025-03-12T16:51... | Making this change, as encouraged here:
* 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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"@lhoestq please let me know what you think about this.",
"It looks like I can't change the merge target to #7435, so it will look like there is a bunch of extra stuff until #7435 is in main.",
"@lhoestq Thanks so much for reviewing #7435! Now that that's merged, I think this PR is ready!! Can you kick off CI w... | 2025-03-04T06:12:37 | 2025-03-21T12:37:16 | null | CONTRIBUTOR | null | {
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} | 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 ... | null | {
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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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"This feels related: https://github.com/huggingface/datasets/issues/3044",
"@lhoestq This comment specifically, I agree:\n\n* https://github.com/huggingface/datasets/issues/3044#issuecomment-1239877570\n\n> Almost a year later and I'm in a similar boat. Using custom fingerprints and when using multiprocessing the... | 2025-03-03T05:51:26 | 2025-03-04T05:55:08 | null | CONTRIBUTOR | null | {
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} | null | null | null | ### Describe the bug
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... | null | {
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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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"Thanks ! There is https://github.com/huggingface/datasets/pull/7426 already that fixes the issue, I'm closing your PR if you don't mind"
] | 2025-02-28T17:28:20 | 2025-03-04T15:53:03 | 2025-03-04T15:53:03 | CONTRIBUTOR | null | {
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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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"what's the error message ?",
"This was the final error message that it was giving pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0",
"Here is the list of errors:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modul... | 2025-02-28T14:05:22 | 2025-03-04T15:02:26 | null | NONE | null | {
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} | 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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"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] | 2025-02-28T11:36:10 | 2025-03-05T11:32:47 | 2025-03-03T17:52:15 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"Hi ! can you run `make style` to fix code formatting ?",
"@lhoestq Fixed",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7428). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-28T03:39:44 | 2025-03-22T00:51:20 | 2025-03-05T15:04:16 | CONTRIBUTOR | null | {
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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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"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommend... | 2025-02-28T02:30:15 | 2025-03-04T01:40:28 | null | NONE | null | {
"total": 0,
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} | null | null | null | ### Describe the bug
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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"merged_at": "2025-03-04T15:53... | 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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"> datasets\n\nHi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n\n",
"Hey guys,\nI tried to re... | 2025-02-27T07:36:02 | 2025-03-24T05:57:06 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7424). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-26T19:55:18 | 2025-03-05T18:51:00 | 2025-03-05T17:41:23 | MEMBER | null | {
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"merged_at": "2025-03-05T17:41... | 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/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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"I was able to work around it"
] | 2025-03-21T17:23:52 | 2025-03-21T19:19:58 | 2025-03-21T19:19:58 | NONE | null | {
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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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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... | null | {
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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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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... | null | {
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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... | null | {
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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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} | null | null | null | ### Describe the bug
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... | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7466). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"merged_at": "2025-03-18T14:09... | fir this error when accessing a local pdf
```
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/7464 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7464/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7464/comments | https://api.github.com/repos/huggingface/datasets/issues/7464/events | https://github.com/huggingface/datasets/pull/7464 | 2,926,478,838 | PR_kwDODunzps6PABJa | 7,464 | Minor fix for metadata files in extension counter | {
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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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"Hi ! I'mn wondering if this shouldn't this be an `Image()` type and decoded as a `PIL.Image` ?\r\n\r\nThis would make it easier to integrate with the rest of the HF ecosystem, and you could still get a numpy array using `ds = ds.with_format(\"numpy\")` which sets all the images to be formatted as numpy arrays"
] | 2025-03-17T17:42:40 | 2025-03-18T15:25:30 | null | NONE | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7462). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-17T16:00:53 | 2025-03-17T16:03:31 | 2025-03-17T16:01:08 | MEMBER | null | {
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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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"Hi ! Can you try with `datasets` ^3.4 released recently ? on my side it works with IterableDataset on the recent version :)\n\n```python\nIn [20]: def train_iterable_gen():\n ...: images = np.array(load_image(\"https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg\")... | 2025-03-17T15:59:23 | 2025-03-18T08:57:17 | 2025-03-18T08:57:16 | NONE | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7460). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7459). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-17T15:20:21 | 2025-03-17T15:25:56 | 2025-03-17T15:25:54 | MEMBER | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7458 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7458/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7458/comments | https://api.github.com/repos/huggingface/datasets/issues/7458/events | https://github.com/huggingface/datasets/issues/7458 | 2,925,403,528 | I_kwDODunzps6uXh2I | 7,458 | Loading the `laion/filtered-wit` dataset in streaming mode fails on v3.4.0 | {
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"thanks for reporting, I released 3.4.1 with a fix"
] | 2025-03-17T14:54:02 | 2025-03-17T16:02:04 | 2025-03-17T15:25:55 | NONE | null | {
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} | 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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https://api.github.com/repos/huggingface/datasets/issues/7457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7457/comments | https://api.github.com/repos/huggingface/datasets/issues/7457/events | https://github.com/huggingface/datasets/issues/7457 | 2,924,886,467 | I_kwDODunzps6uVjnD | 7,457 | Document the HF_DATASETS_CACHE env variable | {
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"Strongly agree to this, in addition, I am also suffering to change the cache location similar to other issues (since I changed the environmental variables).\nhttps://github.com/huggingface/datasets/issues/6886",
"`HF_DATASETS_CACHE` should be documented there indeed, feel free to open a PR :) ",
"Hey, I’d love... | 2025-03-17T12:24:50 | 2025-03-20T10:36:46 | null | NONE | null | {
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} | 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`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7456/comments | https://api.github.com/repos/huggingface/datasets/issues/7456/events | https://github.com/huggingface/datasets/issues/7456 | 2,922,676,278 | I_kwDODunzps6uNIA2 | 7,456 | .add_faiss_index and .add_elasticsearch_index returns ImportError at Google Colab | {
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"I can fix this.\nIt's mainly because faiss-gpu requires python<=3.10 but the default python version in colab is 3.11. We just have to downgrade the CPython version down to 3.10 and it should work fine.\n",
"I think I just had no chance to meet with faiss-cpu.\nIt could be import problem? \n_has_faiss gets its va... | 2025-03-16T00:51:49 | 2025-03-17T15:57:19 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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https://api.github.com/repos/huggingface/datasets/issues/7455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7455/comments | https://api.github.com/repos/huggingface/datasets/issues/7455/events | https://github.com/huggingface/datasets/issues/7455 | 2,921,933,250 | I_kwDODunzps6uKSnC | 7,455 | Problems with local dataset after upgrade from 3.3.2 to 3.4.0 | {
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"Hi ! I just released 3.4.1 with a fix, let me know if it's working now !"
] | 2025-03-15T09:22:50 | 2025-03-17T16:20:43 | null | NONE | null | {
"total": 0,
"completed": 0,
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} | null | null | null | ### Describe the bug
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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7454). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7453). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7450). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"merged_at": "2025-03-14T10:35... | 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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"Hi ! `load_dataset` expects all the data_files to have the same schema.\n\nMaybe you can try enforcing certain `features` using:\n\n```python\nfeatures = Features({\"conversations\": {'content': Value('string'), 'role': Value('string',)}})\nds = load_dataset(..., features=features)\n```",
"Thanks! It works if I ... | 2025-03-13T08:14:49 | 2025-03-17T07:27:48 | 2025-03-17T07:27:46 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"cc",
"Yes I have the same issue. It's a confusingly named function. See [here](https://github.com/huggingface/datasets/blob/main/src/datasets/fingerprint.py#L115-L130)\n\n```\n...\nIf disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.\n More precisely... | 2025-03-13T06:40:12 | 2025-03-22T04:37:07 | null | NONE | null | {
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} | null | null | null | When I use `Dataset.from_generator(my_gen)` to load my dataset, it simply skips my changes to the generator function.
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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"Thanks for reporting ! Maybe we should store the epoch in the state_dict, and then when the dataset is iterated on again after setting a new epoch it should restart from scratch instead of resuming ? wdyt ?",
"But why does this only happen when `persistent_workers=True`? I would expect it to work correctly even ... | 2025-03-12T21:41:05 | 2025-03-14T17:26:59 | 2025-03-14T10:50:10 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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} | null | null | null | ### Describe the bug
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... | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7445). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-11T18:30:57 | 2025-03-13T10:38:03 | 2025-03-13T10:37:58 | MEMBER | null | {
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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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} | null | null | null | ### Describe the bug
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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"Actually, looking at the code a bit more carefully, maybe an even better solution is to explicitly set `num_shards=len(self)` somewhere inside both `push_to_hub()` and `save_to_disk()` when these functions are invoked with `num_shards > len(dataset)`."
] | 2025-03-10T22:40:59 | 2025-03-10T23:43:08 | null | NONE | null | {
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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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"Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?",
"> Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?\n\nThat would be perfect if not at least a flexible loader."
] | 2025-03-09T16:55:03 | 2025-03-17T20:35:07 | null | NONE | null | {
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} | null | null | null | ### Feature request
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)
... | null | {
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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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"Hi @memray, I’d like to help fix the issue with `drop_last_batch` not working when `num_workers > 1`. I’ll investigate and propose a solution. Thanks!\n",
"Thank you very much for offering to help! I also noticed a problem related to a previous issue and left a comment [here](https://github.com/huggingface/datas... | 2025-03-08T10:28:44 | 2025-03-09T21:27:33 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d55119... | 2025-03-07T19:14:18 | 2025-03-22T21:48:02 | null | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"Okay nevermind looks like to works both ways for models. but my doubt still remains, isnt this changing the device of the model every batch?"
] | 2025-03-06T11:29:19 | 2025-03-06T17:07:28 | 2025-03-06T17:06:38 | NONE | null | {
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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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7437/comments | https://api.github.com/repos/huggingface/datasets/issues/7437/events | https://github.com/huggingface/datasets/pull/7437 | 2,899,104,679 | PR_kwDODunzps6Nkhla | 7,437 | Use pyupgrade --py39-plus for remaining files | {
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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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"cc: @lhoestq ",
"I am going to rebase #7434 onto this branch. Then we can merge this one first if you approve, and then #7434.",
"@lhoestq any thoughts here?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7435). All of your documentation changes will be reflected on ... | 2025-03-04T22:01:20 | 2025-03-12T16:52:00 | 2025-03-12T16:52:00 | CONTRIBUTOR | null | {
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"merged_at": "2025-03-12T16:51... | Making this change, as encouraged here:
* 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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"@lhoestq please let me know what you think about this.",
"It looks like I can't change the merge target to #7435, so it will look like there is a bunch of extra stuff until #7435 is in main.",
"@lhoestq Thanks so much for reviewing #7435! Now that that's merged, I think this PR is ready!! Can you kick off CI w... | 2025-03-04T06:12:37 | 2025-03-21T12:37:16 | null | CONTRIBUTOR | null | {
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} | 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 ... | null | {
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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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"This feels related: https://github.com/huggingface/datasets/issues/3044",
"@lhoestq This comment specifically, I agree:\n\n* https://github.com/huggingface/datasets/issues/3044#issuecomment-1239877570\n\n> Almost a year later and I'm in a similar boat. Using custom fingerprints and when using multiprocessing the... | 2025-03-03T05:51:26 | 2025-03-04T05:55:08 | null | CONTRIBUTOR | null | {
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} | null | null | null | ### Describe the bug
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... | null | {
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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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"Thanks ! There is https://github.com/huggingface/datasets/pull/7426 already that fixes the issue, I'm closing your PR if you don't mind"
] | 2025-02-28T17:28:20 | 2025-03-04T15:53:03 | 2025-03-04T15:53:03 | CONTRIBUTOR | null | {
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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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"what's the error message ?",
"This was the final error message that it was giving pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0",
"Here is the list of errors:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modul... | 2025-02-28T14:05:22 | 2025-03-04T15:02:26 | null | NONE | null | {
"total": 0,
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} | 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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"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] | 2025-02-28T11:36:10 | 2025-03-05T11:32:47 | 2025-03-03T17:52:15 | NONE | null | {
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} | null | null | null | ### Describe the bug
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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"Hi ! can you run `make style` to fix code formatting ?",
"@lhoestq Fixed",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7428). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-28T03:39:44 | 2025-03-22T00:51:20 | 2025-03-05T15:04:16 | CONTRIBUTOR | null | {
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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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"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommend... | 2025-02-28T02:30:15 | 2025-03-04T01:40:28 | null | NONE | null | {
"total": 0,
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} | null | null | null | ### Describe the bug
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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"merged_at": "2025-03-04T15:53... | 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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"> datasets\n\nHi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n\n",
"Hey guys,\nI tried to re... | 2025-02-27T07:36:02 | 2025-03-24T05:57:06 | null | NONE | null | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### Describe the bug
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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7424). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-26T19:55:18 | 2025-03-05T18:51:00 | 2025-03-05T17:41:23 | MEMBER | null | {
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"merged_at": "2025-03-05T17:41... | 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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