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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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"total": 0,
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} | 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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"total": 0,
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} | null | ### Describe the bug
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 | ### 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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```
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"
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It relies on [openexr_numpy](https://github.com/martinResearch/openexr_numpy/tree/main) to manipulate EXR images.
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https://api.github.com/repos/huggingface/datasets/issues/7461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7461/comments | https://api.github.com/repos/huggingface/datasets/issues/7461/events | https://github.com/huggingface/datasets/issues/7461 | 2,925,608,123 | I_kwDODunzps6uYTy7 | 7,461 | List of images behave differently on IterableDataset and Dataset | {
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"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."
] | 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 | {
"total": 0,
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} | 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 | ### 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 | {
"total": 0,
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} | 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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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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"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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https://api.github.com/repos/huggingface/datasets/issues/7453 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7453/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7453/comments | https://api.github.com/repos/huggingface/datasets/issues/7453/events | https://github.com/huggingface/datasets/pull/7453 | 2,920,719,503 | PR_kwDODunzps6OsxR1 | 7,453 | release: 3.4.0 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7452). 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/7451 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7451/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7451/comments | https://api.github.com/repos/huggingface/datasets/issues/7451/events | https://github.com/huggingface/datasets/pull/7451 | 2,919,835,663 | PR_kwDODunzps6OpwDz | 7,451 | Fix resuming after `ds.set_epoch(new_epoch)` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7451). 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."
] | 2025-03-13T10:41:35 | 2025-03-14T10:35:37 | 2025-03-14T10:35:35 | MEMBER | null | {
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} | null | 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 | ### 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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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 | ### 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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https://api.github.com/repos/huggingface/datasets/issues/7446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7446/comments | https://api.github.com/repos/huggingface/datasets/issues/7446/events | https://github.com/huggingface/datasets/issues/7446 | 2,913,050,552 | I_kwDODunzps6toZ-4 | 7,446 | pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int' | {
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"total": 0,
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} | 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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} | null | 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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"total": 0,
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} | 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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} | null | In `ds.push_to_hub()` and `ds.save_to_disk()`, `num_shards` must be smaller than or equal to the number of rows in the dataset, but currently this is not checked anywhere inside these functions. Attempting to invoke these functions with `num_shards > len(dataset)` should raise an informative `ValueError`.
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 | ### 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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"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 | ### 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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