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|---|---|---|---|---|---|---|---|---|---|---|---|
2,959,085,647 | docs: update cache.mdx to include HF_DATASETS_CACHE documentation | closed | null | 2025-03-30T20:35:03 | 2025-03-30T20:36:40 | 2025-03-30T20:36:40 | https://github.com/huggingface/datasets/pull/7491 | {
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"merged_at": null
} | 7,491 | true | [
"Already included HF_DATASETS_CACHE"
] |
2,958,826,222 | (refactor) remove redundant logic in _check_valid_index_key | open | This PR contributes a minor refactor, in a small function in `src/datasets/formatting/formatting.py`. No change in logic.
In the original code, there are separate if-conditionals for `isinstance(key, range)` and `isinstance(key, Iterable)`, with essentially the same logic.
This PR combines these two using a sin... | 2025-03-30T11:45:42 | 2025-03-30T11:50:22 | null | https://github.com/huggingface/datasets/pull/7490 | {
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2,958,204,763 | fix: loading of datasets from Disk(#7373) | open | Fixes dataset loading from disk by ensuring that memory maps and streams are properly closed.
For more details, see https://github.com/huggingface/datasets/issues/7373. | 2025-03-29T16:22:58 | 2025-04-24T16:36:36 | null | https://github.com/huggingface/datasets/pull/7489 | {
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"@nepfaff Could you confirm if this fixes the issue for you? I checked Memray, and everything looked good on my end.\r\n\r\nInstall: `pip install git+https://github.com/sam-hey/datasets.git@fix/concatenate_datasets`\r\n",
"Will aim to get to this soon. I don't have a rapid testing pipeline setup but need to wait ... |
2,956,559,358 | Support underscore int read instruction | closed | close https://github.com/huggingface/datasets/issues/7481 | 2025-03-28T16:01:15 | 2025-03-28T16:20:44 | 2025-03-28T16:20:43 | https://github.com/huggingface/datasets/pull/7488 | {
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"merged_at": "2025-03-28T16:20... | 7,488 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7488). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"you rock, Quentin - thank you!"
] |
2,956,533,448 | Write pdf in map | closed | Fix this error when mapping a PDF dataset
```
pyarrow.lib.ArrowInvalid: Could not convert <pdfplumber.pdf.PDF object at 0x13498ee40> with type PDF: did not recognize Python value type when inferring an Arrow data type
```
and also let map() outputs be lists of images or pdfs | 2025-03-28T15:49:25 | 2025-03-28T17:09:53 | 2025-03-28T17:09:51 | https://github.com/huggingface/datasets/pull/7487 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7487). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,954,042,179 | `shared_datadir` fixture is missing | closed | ### Describe the bug
Running the tests for the latest release fails due to missing `shared_datadir` fixture.
### Steps to reproduce the bug
Running `pytest` while building a package for Arch Linux leads to these errors:
```
==================================== ERRORS ====================================
_________ E... | 2025-03-27T18:17:12 | 2025-03-27T19:49:11 | 2025-03-27T19:49:10 | https://github.com/huggingface/datasets/issues/7486 | null | 7,486 | false | [
"OK I was missing the `pytest-datadir` package. Sorry for the noise!"
] |
2,953,696,519 | set dev version | closed | null | 2025-03-27T16:39:34 | 2025-03-27T16:41:59 | 2025-03-27T16:39:42 | https://github.com/huggingface/datasets/pull/7485 | {
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"merged_at": "2025-03-27T16:39... | 7,485 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7485). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,953,677,168 | release: 3.5.0 | closed | null | 2025-03-27T16:33:27 | 2025-03-27T16:35:44 | 2025-03-27T16:34:22 | https://github.com/huggingface/datasets/pull/7484 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7484). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,951,856,468 | Support skip_trying_type | closed | This PR addresses Issue #7472
cc: @lhoestq | 2025-03-27T07:07:20 | 2025-04-29T04:14:57 | 2025-04-09T09:53:10 | https://github.com/huggingface/datasets/pull/7483 | {
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"merged_at": "2025-04-09T09:53... | 7,483 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7483). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Cool ! Can you run `make style` to fix code formatting ?\r\n\r\nI was also thinking of ... |
2,950,890,368 | Implement capability to restore non-nullability in Features | closed | This PR attempts to keep track of non_nullable pyarrow fields when converting a `pa.Schema` to `Features`. At the same time, when outputting the `arrow_schema`, the original non-nullable fields are restored. This allows for more consistent behavior and avoids breaking behavior as illustrated in #7479.
I am by no mea... | 2025-03-26T22:16:09 | 2025-05-15T15:00:59 | 2025-05-15T15:00:59 | https://github.com/huggingface/datasets/pull/7482 | {
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} | 7,482 | true | [
"Interestingly, this does not close #7479. The Features are not correctly maintained when calling `from_dict` with the custom Features.",
"Unfortunately this PR does not fix the reported issue. After more digging:\r\n\r\n- when the dataset is created, nullability information is lost in Features;\r\n- even with th... |
2,950,692,971 | deal with python `10_000` legal number in slice syntax | closed | ### Feature request
```
In [6]: ds = datasets.load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft[:1000]")
In [7]: ds = datasets.load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft[:1_000]")
[dozens of frames skipped]
File /usr/local/lib/python3.10/dist-packages/datasets/arrow_reader.py:444, in _s... | 2025-03-26T20:10:54 | 2025-03-28T16:20:44 | 2025-03-28T16:20:44 | https://github.com/huggingface/datasets/issues/7481 | null | 7,481 | false | [
"should be an easy fix, I opened a PR"
] |
2,950,315,214 | HF_DATASETS_CACHE ignored? | open | ### Describe the bug
I'm struggling to get things to respect HF_DATASETS_CACHE.
Rationale: I'm on a system that uses NFS for homedir, so downloading to NFS is expensive, slow, and wastes valuable quota compared to local disk. Instead, it seems to rely mostly on HF_HUB_CACHE.
Current version: 3.2.1dev. In the process... | 2025-03-26T17:19:34 | 2025-04-28T10:16:16 | null | https://github.com/huggingface/datasets/issues/7480 | null | 7,480 | false | [
"FWIW, it does eventually write to /tmp/roller/datasets when generating the final version.",
"Hey, I’d love to work on this issue but I am a beginner, can I work it with you?",
"Hi @lhoestq,\nI'd like to look into this issue but I'm still learning. Could you share any quick pointers on the HF_DATASETS_CACHE beh... |
2,950,235,396 | Features.from_arrow_schema is destructive | open | ### Describe the bug
I came across this, perhaps niche, bug where `Features` does not/cannot account for pyarrow's `nullable=False` option in Fields. Interestingly, I found that in regular "flat" fields this does not necessarily lead to conflicts, but when a non-nullable field is in a struct, an incompatibility arises... | 2025-03-26T16:46:43 | 2025-03-26T16:46:58 | null | https://github.com/huggingface/datasets/issues/7479 | null | 7,479 | false | [] |
2,948,993,461 | update fsspec 2025.3.0 | closed | It appears there have been two releases of fsspec since this dependency was last updated, it would be great if Datasets could be updated so that it didn't hold back the usage of newer fsspec versions in consuming projects.
PR based on https://github.com/huggingface/datasets/pull/7352 | 2025-03-26T09:53:05 | 2025-03-28T19:15:54 | 2025-03-28T15:51:55 | https://github.com/huggingface/datasets/pull/7478 | {
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"merged_at": "2025-03-28T15:51... | 7,478 | true | [
"Sorry for tagging you @lhoestq but since you merged the linked PR, I wondered if you might be able to help me get this triaged so it can be reviewed/rejected etc. 🙏🏼 ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7478). All of your documentation changes will be reflec... |
2,947,169,460 | What is the canonical way to compress a Dataset? | open | Given that Arrow is the preferred backend for a Dataset, what is a user supposed to do if they want concurrent reads, concurrent writes AND on-disk compression for a larger dataset?
Parquet would be the obvious answer except that there is no native support for writing sharded, parquet datasets concurrently [[1](https:... | 2025-03-25T16:47:51 | 2025-04-03T09:13:11 | null | https://github.com/huggingface/datasets/issues/7477 | null | 7,477 | false | [
"I saw this post by @lhoestq: https://discuss.huggingface.co/t/increased-arrow-table-size-by-factor-of-2/26561/4 suggesting that there is at least some internal code for writing sharded parquet datasets non-concurrently. This appears to be that code: https://github.com/huggingface/datasets/blob/94ccd1b4fada8a92cea... |
2,946,997,924 | Priotitize json | closed | `datasets` should load the JSON data in https://huggingface.co/datasets/facebook/natural_reasoning, not the PDF | 2025-03-25T15:44:31 | 2025-03-25T15:47:00 | 2025-03-25T15:45:00 | https://github.com/huggingface/datasets/pull/7476 | {
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"merged_at": "2025-03-25T15:45... | 7,476 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7476). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,946,640,570 | IterableDataset's state_dict shard_example_idx is always equal to the number of samples in a shard | closed | ### Describe the bug
I've noticed a strange behaviour with Iterable state_dict: the value of shard_example_idx is always equal to the amount of samples in a shard.
### Steps to reproduce the bug
I am reusing the example from the doc
```python
from datasets import Dataset
ds = Dataset.from_dict({"a": range(6)}).to_... | 2025-03-25T13:58:07 | 2025-05-06T14:22:19 | 2025-05-06T14:05:07 | https://github.com/huggingface/datasets/issues/7475 | null | 7,475 | false | [
"Hey, I’d love to work on this issue but I am a beginner, can I work it with you?",
"Hello. I'm sorry but I don't have much time to get in the details for now.\nHave you managed to reproduce the issue with the code provided ?\nIf you want to work on it, you can self-assign and ask @lhoestq for directions",
"Hi ... |
2,945,066,258 | Remove conditions for Python < 3.9 | closed | This PR remove conditions for Python < 3.9. | 2025-03-25T03:08:04 | 2025-04-16T00:11:06 | 2025-04-15T16:07:55 | https://github.com/huggingface/datasets/pull/7474 | {
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"merged_at": "2025-04-15T16:07... | 7,474 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7474). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks ! can you run `make style` to fix code formatting ? then we can merge",
"@lhoe... |
2,939,034,643 | Webdataset data format problem | closed | ### Describe the bug
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 ... | 2025-03-21T17:23:52 | 2025-03-21T19:19:58 | 2025-03-21T19:19:58 | https://github.com/huggingface/datasets/issues/7473 | null | 7,473 | false | [
"I was able to work around it"
] |
2,937,607,272 | Label casting during `map` process is canceled after the `map` process | closed | ### 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... | 2025-03-21T07:56:22 | 2025-04-10T05:11:15 | 2025-04-10T05:11:14 | https://github.com/huggingface/datasets/issues/7472 | null | 7,472 | false | [
"Hi ! By default `map()` tries to keep the types of each column of the dataset, so here it reuses the int type since all your float values can be converted to integers. But I agree it would be nice to store float values as float values and don't try to reuse the same type in this case.\n\nIn the meantime, you can e... |
2,937,530,069 | Adding argument to `_get_data_files_patterns` | closed | ### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of images for the local files.
However, due to sear... | 2025-03-21T07:17:53 | 2025-03-27T12:30:52 | 2025-03-26T07:26:27 | https://github.com/huggingface/datasets/issues/7471 | null | 7,471 | false | [
"Hi ! The pattern can be specified in advance in YAML in the README.md of the dataset :)\n\nFor example\n\n```\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: \"train/*\"\n - split: test\n path: \"test/*\"\n---\n```\n\nSee the docs at https://huggingface.co/docs/hub/en/dataset... |
2,937,236,323 | Is it possible to shard a single-sharded IterableDataset? | closed | I thought https://github.com/huggingface/datasets/pull/7252 might be applicable but looking at it maybe not.
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... | 2025-03-21T04:33:37 | 2025-05-09T22:51:46 | 2025-03-26T06:49:28 | https://github.com/huggingface/datasets/issues/7470 | null | 7,470 | false | [
"Hi ! Maybe you can look for an option in your dataset to partition your data based on a deterministic filter ? For example each worker could stream the data based on `row.id % num_shards` or something like that ?",
"So the recommendation is to start out with multiple shards initially and re-sharding after is not... |
2,936,606,080 | Custom split name with the web interface | closed | ### 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... | 2025-03-20T20:45:59 | 2025-03-21T07:20:37 | 2025-03-21T07:20:37 | https://github.com/huggingface/datasets/issues/7469 | null | 7,469 | false | [] |
2,934,094,103 | function `load_dataset` can't solve folder path with regex characters like "[]" | open | ### Describe the bug
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... | 2025-03-20T05:21:59 | 2025-03-25T10:18:12 | null | https://github.com/huggingface/datasets/issues/7468 | null | 7,468 | false | [
"Hi ! Have you tried escaping the glob special characters `[` and `]` ?\n\nbtw note that`AbstractFileSystem.glob` doesn't support regex, instead it supports glob patterns as in the python library [glob](https://docs.python.org/3/library/glob.html)\n"
] |
2,930,067,107 | load_dataset with streaming hangs on parquet datasets | open | ### 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... | 2025-03-18T23:33:54 | 2025-03-25T10:28:04 | null | https://github.com/huggingface/datasets/issues/7467 | null | 7,467 | false | [
"Hi ! The issue comes from `pyarrow`, I reported it here: https://github.com/apache/arrow/issues/45214 (feel free to comment / thumb up).\n\nAlternatively we can try to find something else than `ParquetFileFragment.to_batches()` to iterate on Parquet data and keep the option the pass `filters=`..."
] |
2,928,661,327 | Fix local pdf loading | closed | 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... | 2025-03-18T14:09:06 | 2025-03-18T14:11:52 | 2025-03-18T14:09:21 | https://github.com/huggingface/datasets/pull/7466 | {
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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."
] |
2,926,478,838 | Minor fix for metadata files in extension counter | closed | null | 2025-03-17T21:57:11 | 2025-03-18T15:21:43 | 2025-03-18T15:21:41 | https://github.com/huggingface/datasets/pull/7464 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7464). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,925,924,452 | Adds EXR format to store depth images in float32 | open | 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.
| 2025-03-17T17:42:40 | 2025-04-02T12:33:39 | null | https://github.com/huggingface/datasets/pull/7463 | {
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"merged_at": null
} | 7,463 | true | [
"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",
... |
2,925,612,945 | set dev version | closed | null | 2025-03-17T16:00:53 | 2025-03-17T16:03:31 | 2025-03-17T16:01:08 | https://github.com/huggingface/datasets/pull/7462 | {
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"merged_at": "2025-03-17T16:01... | 7,462 | true | [
"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."
] |
2,925,608,123 | List of images behave differently on IterableDataset and Dataset | closed | ### 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": [
... | 2025-03-17T15:59:23 | 2025-03-18T08:57:17 | 2025-03-18T08:57:16 | https://github.com/huggingface/datasets/issues/7461 | null | 7,461 | false | [
"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\")... |
2,925,605,865 | release: 3.4.1 | closed | null | 2025-03-17T15:58:31 | 2025-03-17T16:01:14 | 2025-03-17T15:59:19 | https://github.com/huggingface/datasets/pull/7460 | {
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"merged_at": "2025-03-17T15:59... | 7,460 | true | [
"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."
] |
2,925,491,766 | Fix data_files filtering | closed | close https://github.com/huggingface/datasets/issues/7458 | 2025-03-17T15:20:21 | 2025-03-17T15:25:56 | 2025-03-17T15:25:54 | https://github.com/huggingface/datasets/pull/7459 | {
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"merged_at": "2025-03-17T15:25... | 7,459 | true | [
"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."
] |
2,925,403,528 | Loading the `laion/filtered-wit` dataset in streaming mode fails on v3.4.0 | closed | ### 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... | 2025-03-17T14:54:02 | 2025-03-17T16:02:04 | 2025-03-17T15:25:55 | https://github.com/huggingface/datasets/issues/7458 | null | 7,458 | false | [
"thanks for reporting, I released 3.4.1 with a fix"
] |
2,924,886,467 | Document the HF_DATASETS_CACHE env variable | closed | ### 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`... | 2025-03-17T12:24:50 | 2025-05-06T15:54:39 | 2025-05-06T15:54:39 | https://github.com/huggingface/datasets/issues/7457 | null | 7,457 | false | [
"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... |
2,922,676,278 | .add_faiss_index and .add_elasticsearch_index returns ImportError at Google Colab | open | ### 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... | 2025-03-16T00:51:49 | 2025-03-17T15:57:19 | null | https://github.com/huggingface/datasets/issues/7456 | null | 7,456 | false | [
"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... |
2,921,933,250 | Problems with local dataset after upgrade from 3.3.2 to 3.4.0 | open | ### 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/... | 2025-03-15T09:22:50 | 2025-03-17T16:20:43 | null | https://github.com/huggingface/datasets/issues/7455 | null | 7,455 | false | [
"Hi ! I just released 3.4.1 with a fix, let me know if it's working now !"
] |
2,920,760,793 | set dev version | closed | null | 2025-03-14T16:48:19 | 2025-03-14T16:50:31 | 2025-03-14T16:48:28 | https://github.com/huggingface/datasets/pull/7454 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7454",
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"patch_url": "https://github.com/huggingface/datasets/pull/7454.patch",
"merged_at": "2025-03-14T16:48... | 7,454 | true | [
"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."
] |
2,920,719,503 | release: 3.4.0 | closed | null | 2025-03-14T16:30:45 | 2025-03-14T16:38:10 | 2025-03-14T16:38:08 | https://github.com/huggingface/datasets/pull/7453 | {
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"merged_at": "2025-03-14T16:38... | 7,453 | true | [
"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."
] |
2,920,354,783 | minor docs changes | closed | before the release | 2025-03-14T14:14:04 | 2025-03-14T14:16:38 | 2025-03-14T14:14:20 | https://github.com/huggingface/datasets/pull/7452 | {
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"merged_at": "2025-03-14T14:14... | 7,452 | true | [
"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."
] |
2,919,835,663 | Fix resuming after `ds.set_epoch(new_epoch)` | closed | close https://github.com/huggingface/datasets/issues/7447 | 2025-03-14T10:31:25 | 2025-03-14T10:50:11 | 2025-03-14T10:50:09 | https://github.com/huggingface/datasets/pull/7451 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7451.patch",
"merged_at": "2025-03-14T10:50... | 7,451 | true | [
"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."
] |
2,916,681,414 | Add IterableDataset.decode with multithreading | closed | 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... | 2025-03-13T10:41:35 | 2025-03-14T10:35:37 | 2025-03-14T10:35:35 | https://github.com/huggingface/datasets/pull/7450 | {
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"merged_at": "2025-03-14T10:35... | 7,450 | true | [
"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."
] |
2,916,235,092 | Cannot load data with different schemas from different parquet files | closed | ### 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 ... | 2025-03-13T08:14:49 | 2025-03-17T07:27:48 | 2025-03-17T07:27:46 | https://github.com/huggingface/datasets/issues/7449 | null | 7,449 | false | [
"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 ... |
2,916,025,762 | `datasets.disable_caching` doesn't work | open | 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! | 2025-03-13T06:40:12 | 2025-03-22T04:37:07 | null | https://github.com/huggingface/datasets/issues/7448 | null | 7,448 | false | [
"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... |
2,915,233,248 | Epochs shortened after resuming mid-epoch with Iterable dataset+StatefulDataloader(persistent_workers=True) | closed | ### 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 ... | 2025-03-12T21:41:05 | 2025-07-09T23:04:57 | 2025-03-14T10:50:10 | https://github.com/huggingface/datasets/issues/7447 | null | 7,447 | false | [
"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 ... |
2,913,050,552 | pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int' | closed | ### 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... | 2025-03-12T07:48:37 | 2025-07-04T05:14:45 | 2025-07-04T05:14:45 | https://github.com/huggingface/datasets/issues/7446 | null | 7,446 | false | [
"I think the Counter object you used in 'labels' may be the issue, since the {2:1} inside is the dict and 2 is the int",
"> I think the Counter object you used in 'labels' may be the issue, since the {2:1} inside is the dict and 2 is the int我认为您在 'labels' 中使用的 Counter 对象可能是问题所在，因为里面的 {2：1} 是 dict，而 2 是 int\n\nYes... |
2,911,507,923 | Fix small bugs with async map | closed | 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... | 2025-03-11T18:30:57 | 2025-03-13T10:38:03 | 2025-03-13T10:37:58 | https://github.com/huggingface/datasets/pull/7445 | {
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"merged_at": "2025-03-13T10:37... | 7,445 | true | [
"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."
] |
2,911,202,445 | Excessive warnings when resuming an IterableDataset+buffered shuffle+DDP. | open | ### 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 ... | 2025-03-11T16:34:39 | 2025-05-13T09:41:03 | null | https://github.com/huggingface/datasets/issues/7444 | null | 7,444 | false | [
"I had a similar issue when loading the saved iterable dataset state to fast-forward to the mid-train location before resuming. This happened when I shuffled a concatenated dataset. A `iterable_data_state_dict.json` file was saved during checkpointing in the Trainer with:\n```\ndef _save_rng_state(self, output_dir)... |
2,908,585,656 | index error when num_shards > len(dataset) | open | 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... | 2025-03-10T22:40:59 | 2025-03-10T23:43:08 | null | https://github.com/huggingface/datasets/issues/7443 | null | 7,443 | false | [
"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)`."
] |
2,905,543,017 | Flexible Loader | open | ### 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)
... | 2025-03-09T16:55:03 | 2025-03-27T23:58:17 | null | https://github.com/huggingface/datasets/issues/7442 | null | 7,442 | false | [
"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.",
"@lhoestq For now, you can use this small utility library: [nanoml](https://... |
2,904,702,329 | `drop_last_batch` does not drop the last batch using IterableDataset + interleave_datasets + multi_worker | open | ### 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... | 2025-03-08T10:28:44 | 2025-03-09T21:27:33 | null | https://github.com/huggingface/datasets/issues/7441 | null | 7,441 | false | [
"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... |
2,903,740,662 | IterableDataset raises FileNotFoundError instead of retrying | open | ### 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 ... | 2025-03-07T19:14:18 | 2025-07-22T08:15:44 | null | https://github.com/huggingface/datasets/issues/7440 | null | 7,440 | false | [
"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... |
2,900,143,289 | Fix multi gpu process example | closed | 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? | 2025-03-06T11:29:19 | 2025-03-06T17:07:28 | 2025-03-06T17:06:38 | https://github.com/huggingface/datasets/pull/7439 | {
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"merged_at": null
} | 7,439 | true | [
"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?"
] |
2,899,209,484 | Allow dataset row indexing with np.int types (#7423) | open | @lhoestq
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... | 2025-03-06T03:10:43 | 2025-07-15T14:34:05 | null | https://github.com/huggingface/datasets/pull/7438 | {
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} | 7,438 | true | [
"+1"
] |
2,899,104,679 | Use pyupgrade --py39-plus for remaining files | open | This work follows #7428. And "requires-python" is set in pyproject.toml | 2025-03-06T02:12:25 | 2025-07-18T04:04:08 | null | https://github.com/huggingface/datasets/pull/7437 | {
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"merged_at": null
} | 7,437 | true | [
"@lhoestq Have a look?"
] |
2,898,385,725 | chore: fix typos | closed | null | 2025-03-05T20:17:54 | 2025-04-28T14:00:09 | 2025-04-28T13:51:26 | https://github.com/huggingface/datasets/pull/7436 | {
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"merged_at": "2025-04-28T13:51... | 7,436 | true | [] |
2,895,536,956 | Refactor `string_to_dict` to return `None` if there is no match instead of raising `ValueError` | closed | 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... | 2025-03-04T22:01:20 | 2025-03-12T16:52:00 | 2025-03-12T16:52:00 | https://github.com/huggingface/datasets/pull/7435 | {
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"merged_at": "2025-03-12T16:51... | 7,435 | true | [
"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 ... |
2,893,075,908 | Refactor `Dataset.map` to reuse cache files mapped with different `num_proc` | closed | 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 ... | 2025-03-04T06:12:37 | 2025-05-14T10:45:10 | 2025-05-12T15:14:08 | https://github.com/huggingface/datasets/pull/7434 | {
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"merged_at": "2025-05-12T15:14... | 7,434 | true | [
"@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... |
2,890,240,400 | `Dataset.map` ignores existing caches and remaps when ran with different `num_proc` | closed | ### 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... | 2025-03-03T05:51:26 | 2025-05-12T15:14:09 | 2025-05-12T15:14:09 | https://github.com/huggingface/datasets/issues/7433 | null | 7,433 | false | [
"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... |
2,887,717,289 | Fix type annotation | closed | null | 2025-02-28T17:28:20 | 2025-03-04T15:53:03 | 2025-03-04T15:53:03 | https://github.com/huggingface/datasets/pull/7432 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7432",
"html_url": "https://github.com/huggingface/datasets/pull/7432",
"diff_url": "https://github.com/huggingface/datasets/pull/7432.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7432.patch",
"merged_at": null
} | 7,432 | true | [
"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"
] |
2,887,244,074 | Issues with large Datasets | open | ### 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 ... | 2025-02-28T14:05:22 | 2025-03-04T15:02:26 | null | https://github.com/huggingface/datasets/issues/7431 | null | 7,431 | false | [
"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... |
2,886,922,573 | Error in code "Time to slice and dice" from course "NLP Course" | closed | ### 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... | 2025-02-28T11:36:10 | 2025-03-05T11:32:47 | 2025-03-03T17:52:15 | https://github.com/huggingface/datasets/issues/7430 | null | 7,430 | false | [
"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"
] |
2,886,806,513 | Improved type annotation | open | 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 | 2025-02-28T10:39:10 | 2025-05-15T12:27:17 | null | https://github.com/huggingface/datasets/pull/7429 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7429.patch",
"merged_at": null
} | 7,429 | true | [
"@lhoestq Could someone please take a quick look or let me know if there’s anything I should change? Thanks!",
"could you fix the conflicts ? I think some type annotations have been improved since your first commit",
"It should be good now.\r\nI'm happy to add more annotations or refine further if needed—just ... |
2,886,111,651 | Use pyupgrade --py39-plus | closed | null | 2025-02-28T03:39:44 | 2025-03-22T00:51:20 | 2025-03-05T15:04:16 | https://github.com/huggingface/datasets/pull/7428 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7428",
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"diff_url": "https://github.com/huggingface/datasets/pull/7428.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7428.patch",
"merged_at": "2025-03-05T15:04... | 7,428 | true | [
"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."
] |
2,886,032,571 | Error splitting the input into NAL units. | open | ### 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... | 2025-02-28T02:30:15 | 2025-03-04T01:40:28 | null | https://github.com/huggingface/datasets/issues/7427 | null | 7,427 | false | [
"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... |
2,883,754,507 | fix: None default with bool type on load creates typing error | closed | 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.
| 2025-02-27T08:11:36 | 2025-03-04T15:53:40 | 2025-03-04T15:53:40 | https://github.com/huggingface/datasets/pull/7426 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7426.patch",
"merged_at": "2025-03-04T15:53... | 7,426 | true | [] |
2,883,684,686 | load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable | open | ### 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... | 2025-02-27T07:36:02 | 2025-03-27T05:05:33 | null | https://github.com/huggingface/datasets/issues/7425 | null | 7,425 | false | [
"> 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... |
2,882,663,621 | Faster folder based builder + parquet support + allow repeated media + use torchvideo | closed | 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... | 2025-02-26T19:55:18 | 2025-03-05T18:51:00 | 2025-03-05T17:41:23 | https://github.com/huggingface/datasets/pull/7424 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7424",
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"patch_url": "https://github.com/huggingface/datasets/pull/7424.patch",
"merged_at": "2025-03-05T17:41... | 7,424 | true | [
"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."
] |
2,879,271,409 | Row indexing a dataset with numpy integers | open | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | 2025-02-25T18:44:45 | 2025-03-03T17:55:24 | null | https://github.com/huggingface/datasets/issues/7423 | null | 7,423 | false | [
"Would be cool to be consistent when it comes to indexing with numpy objects, if we do accept numpy arrays we should indeed accept numpy integers. Your idea sounds reasonable, I'd also be in favor of adding a simple test as well"
] |
2,878,369,052 | DVC integration broken | open | ### Describe the bug
The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | 2025-02-25T13:14:31 | 2025-03-03T17:42:02 | null | https://github.com/huggingface/datasets/issues/7421 | null | 7,421 | false | [
"Unfortunately `url` is a reserved argument in `fsspec.url_to_fs`, so ideally file system implementations like DVC should use another argument name to avoid this kind of errors"
] |
2,876,281,928 | better correspondence between cached and saved datasets created using from_generator | open | ### Feature request
At the moment `.from_generator` can only create a dataset that lives in the cache. The cached dataset cannot be loaded with `load_from_disk` because the cache folder is missing `state.json`. So the only way to convert this cached dataset to a regular is to use `save_to_disk` which needs to create a... | 2025-02-24T22:14:37 | 2025-02-26T03:10:22 | null | https://github.com/huggingface/datasets/issues/7420 | null | 7,420 | false | [] |
2,875,635,320 | Import order crashes script execution | open | ### Describe the bug
Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
🙏
... | 2025-02-24T17:03:43 | 2025-02-24T17:03:43 | null | https://github.com/huggingface/datasets/issues/7419 | null | 7,419 | false | [] |
2,868,701,471 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | open | ### Describe the bug
Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
system_prompt="You are a helpful... | 2025-02-21T10:58:06 | 2025-07-11T13:06:10 | null | https://github.com/huggingface/datasets/issues/7418 | null | 7,418 | false | [
"@lhoestq ",
"Can you try passing text: None for the image object ? Pyarrow expects all the objects to have the exact same type, in particular the dicttionaries in \"content\" should all have the keys \"type\" and \"text\"",
"The following modification on system prompt works, but it is different from the usual ... |
2,866,868,922 | set dev version | closed | null | 2025-02-20T17:45:29 | 2025-02-20T17:47:50 | 2025-02-20T17:45:36 | https://github.com/huggingface/datasets/pull/7417 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7417",
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"patch_url": "https://github.com/huggingface/datasets/pull/7417.patch",
"merged_at": "2025-02-20T17:45... | 7,417 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7417). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,866,862,143 | Release: 3.3.2 | closed | null | 2025-02-20T17:42:11 | 2025-02-20T17:44:35 | 2025-02-20T17:43:28 | https://github.com/huggingface/datasets/pull/7416 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7416.patch",
"merged_at": "2025-02-20T17:43... | 7,416 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7416). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,865,774,546 | Shard Dataset at specific indices | open | I have a dataset of sequences, where each example in the sequence is a separate row in the dataset (similar to LeRobotDataset). When running `Dataset.save_to_disk` how can I provide indices where it's possible to shard the dataset such that no episode spans more than 1 shard. Consequently, when I run `Dataset.load_from... | 2025-02-20T10:43:10 | 2025-02-24T11:06:45 | null | https://github.com/huggingface/datasets/issues/7415 | null | 7,415 | false | [
"Hi ! if it's an option I'd suggest to have one sequence per row instead.\n\nOtherwise you'd have to make your own save/load mechanism",
"Saving one sequence per row is very difficult and heavy and makes all the optimizations pointless. How would a custom save/load mechanism look like?",
"You can use `pyarrow` ... |
2,863,798,756 | Gracefully cancel async tasks | closed | null | 2025-02-19T16:10:58 | 2025-02-20T14:12:26 | 2025-02-20T14:12:23 | https://github.com/huggingface/datasets/pull/7414 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7414",
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"patch_url": "https://github.com/huggingface/datasets/pull/7414.patch",
"merged_at": "2025-02-20T14:12... | 7,414 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7414). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,860,947,582 | Documentation on multiple media files of the same type with WebDataset | open | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | 2025-02-18T16:13:20 | 2025-02-20T14:17:54 | null | https://github.com/huggingface/datasets/issues/7413 | null | 7,413 | false | [
"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] |
2,859,433,710 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | open | ### Describe the bug
I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
IndexError: Invalid key: 1840208 is out of b... | 2025-02-18T05:58:33 | 2025-02-18T06:42:07 | null | https://github.com/huggingface/datasets/issues/7412 | null | 7,412 | false | [] |
2,858,993,390 | Attempt to fix multiprocessing hang by closing and joining the pool before termination | closed | https://github.com/huggingface/datasets/issues/6393 has plagued me on and off for a very long time. I have had various workarounds (one time combining two filter calls into one filter call removed the issue, another time making rank 0 go first resolved a cache race condition, one time i think upgrading the version of s... | 2025-02-17T23:58:03 | 2025-02-19T21:11:24 | 2025-02-19T13:40:32 | https://github.com/huggingface/datasets/pull/7411 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7411",
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"merged_at": "2025-02-19T13:40... | 7,411 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7411). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for the fix! We have been affected by this a lot when we try to use LLM Foundry ... |
2,858,085,707 | Set dev version | closed | null | 2025-02-17T14:54:39 | 2025-02-17T14:56:58 | 2025-02-17T14:54:56 | https://github.com/huggingface/datasets/pull/7410 | {
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"merged_at": "2025-02-17T14:54... | 7,410 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7410). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,858,079,508 | Release: 3.3.1 | closed | null | 2025-02-17T14:52:12 | 2025-02-17T14:54:32 | 2025-02-17T14:53:13 | https://github.com/huggingface/datasets/pull/7409 | {
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"merged_at": "2025-02-17T14:53... | 7,409 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7409). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,858,012,313 | Fix filter speed regression | closed | close https://github.com/huggingface/datasets/issues/7404 | 2025-02-17T14:25:32 | 2025-02-17T14:28:48 | 2025-02-17T14:28:46 | https://github.com/huggingface/datasets/pull/7408 | {
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"merged_at": "2025-02-17T14:28... | 7,408 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7408). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,856,517,442 | Update use_with_pandas.mdx: to_pandas() correction in last section | closed | last section ``to_pandas()" | 2025-02-17T01:53:31 | 2025-02-20T17:28:04 | 2025-02-20T17:28:04 | https://github.com/huggingface/datasets/pull/7407 | {
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"merged_at": "2025-02-20T17:28... | 7,407 | true | [] |
2,856,441,206 | Adding Core Maintainer List to CONTRIBUTING.md | closed | ### Feature request
I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | 2025-02-17T00:32:40 | 2025-03-24T10:57:54 | 2025-03-24T10:57:54 | https://github.com/huggingface/datasets/issues/7406 | null | 7,406 | false | [
"@lhoestq",
"there is no per-module maintainer and the list is me alone nowadays ^^'",
"@lhoestq \nOh... I feel for you. \nWhat are your criteria for choosing a core maintainer? \nIt seems like it's too much work for you to manage all this code by yourself.\n\nAlso, if you don't mind, can you check this PR for ... |
2,856,372,814 | Lazy loading of environment variables | open | ### Describe the bug
Loading a `.env` file after an `import datasets` call does not correctly use the environment variables.
This is due the fact that environment variables are read at import time:
https://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/config.py#L155C1-L15... | 2025-02-16T22:31:41 | 2025-02-17T15:17:18 | null | https://github.com/huggingface/datasets/issues/7405 | null | 7,405 | false | [
"Many python packages out there, including `huggingface_hub`, do load the environment variables on import.\nYou should `load_dotenv()` before importing the libraries.\n\nFor example you can move all you imports inside your `main()` function"
] |
2,856,366,207 | Performance regression in `dataset.filter` | closed | ### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | 2025-02-16T22:19:14 | 2025-02-17T17:46:06 | 2025-02-17T14:28:48 | https://github.com/huggingface/datasets/issues/7404 | null | 7,404 | false | [
"Thanks for reporting, I'll fix the regression today",
"I just released `datasets` 3.3.1 with a fix, let me know if it's good now :)",
"@lhoestq it fixed the issue.\n\nThis was (very) fast, thank you very much!"
] |
2,855,880,858 | Fix a typo in arrow_dataset.py | closed | "in the feature" should be "in the future" | 2025-02-16T04:52:02 | 2025-02-20T17:29:28 | 2025-02-20T17:29:28 | https://github.com/huggingface/datasets/pull/7402 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7402.patch",
"merged_at": "2025-02-20T17:29... | 7,402 | true | [] |
2,853,260,869 | set dev version | closed | null | 2025-02-14T10:17:03 | 2025-02-14T10:19:20 | 2025-02-14T10:17:13 | https://github.com/huggingface/datasets/pull/7401 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7401",
"html_url": "https://github.com/huggingface/datasets/pull/7401",
"diff_url": "https://github.com/huggingface/datasets/pull/7401.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7401.patch",
"merged_at": "2025-02-14T10:17... | 7,401 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7401). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,853,098,442 | Synchronize parameters for various datasets | open | ### Describe the bug
[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe... | 2025-02-14T09:15:11 | 2025-02-19T11:50:29 | null | https://github.com/huggingface/datasets/issues/7399 | null | 7,399 | false | [
"Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anyth... |
2,853,097,869 | Release: 3.3.0 | closed | null | 2025-02-14T09:15:03 | 2025-02-14T09:57:39 | 2025-02-14T09:57:37 | https://github.com/huggingface/datasets/pull/7398 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7398",
"html_url": "https://github.com/huggingface/datasets/pull/7398",
"diff_url": "https://github.com/huggingface/datasets/pull/7398.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7398.patch",
"merged_at": "2025-02-14T09:57... | 7,398 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7398). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,852,829,763 | Kannada dataset(Conversations, Wikipedia etc) | closed | null | 2025-02-14T06:53:03 | 2025-02-20T17:28:54 | 2025-02-20T17:28:53 | https://github.com/huggingface/datasets/pull/7397 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7397",
"html_url": "https://github.com/huggingface/datasets/pull/7397",
"diff_url": "https://github.com/huggingface/datasets/pull/7397.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7397.patch",
"merged_at": null
} | 7,397 | true | [
"Hi ! feel free to uplad the CSV on https://huggingface.co/datasets :)\r\n\r\nwe don't store the datasets' data in this github repository"
] |
2,853,201,277 | 504 Gateway Timeout when uploading large dataset to Hugging Face Hub | open | ### Description
I encountered consistent 504 Gateway Timeout errors while attempting to upload a large dataset (approximately 500GB) to the Hugging Face Hub. The upload fails during the process with a Gateway Timeout error.
I will continue trying to upload. While it might succeed in future attempts, I wanted to report... | 2025-02-14T02:18:35 | 2025-02-14T23:48:36 | null | https://github.com/huggingface/datasets/issues/7400 | null | 7,400 | false | [
"I transferred to the `datasets` repository. Is there any retry mechanism in `datasets` @lhoestq ?\n\nAnother solution @hotchpotch if you want to get your dataset pushed to the Hub in a robust way is to save it to a local folder first and then use `huggingface-cli upload-large-folder` (see https://huggingface.co/do... |
2,851,716,755 | Update README.md | closed | null | 2025-02-13T17:44:36 | 2025-02-13T17:46:57 | 2025-02-13T17:44:51 | https://github.com/huggingface/datasets/pull/7396 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7396",
"html_url": "https://github.com/huggingface/datasets/pull/7396",
"diff_url": "https://github.com/huggingface/datasets/pull/7396.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7396.patch",
"merged_at": "2025-02-13T17:44... | 7,396 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7396). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,851,575,160 | Update docs | closed | - update min python version
- replace canonical dataset names with new names
- avoid examples with trust_remote_code | 2025-02-13T16:43:15 | 2025-02-13T17:20:32 | 2025-02-13T17:20:30 | https://github.com/huggingface/datasets/pull/7395 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7395",
"html_url": "https://github.com/huggingface/datasets/pull/7395",
"diff_url": "https://github.com/huggingface/datasets/pull/7395.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7395.patch",
"merged_at": "2025-02-13T17:20... | 7,395 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7395). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,847,172,115 | Using load_dataset with data_files and split arguments yields an error | open | ### Describe the bug
It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
Va... | 2025-02-12T04:50:11 | 2025-02-12T04:50:11 | null | https://github.com/huggingface/datasets/issues/7394 | null | 7,394 | false | [] |
2,846,446,674 | Optimized sequence encoding for scalars | closed | The change in https://github.com/huggingface/datasets/pull/3197 introduced redundant list-comprehensions when `obj` is a long sequence of scalars. This becomes a noticeable overhead when loading data from an `IterableDataset` in the function `_apply_feature_types_on_example` and can be eliminated by adding a check for ... | 2025-02-11T20:30:44 | 2025-02-13T17:11:33 | 2025-02-13T17:11:32 | https://github.com/huggingface/datasets/pull/7393 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7393",
"html_url": "https://github.com/huggingface/datasets/pull/7393",
"diff_url": "https://github.com/huggingface/datasets/pull/7393.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7393.patch",
"merged_at": "2025-02-13T17:11... | 7,393 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7393). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,846,095,043 | push_to_hub payload too large error when using large ClassLabel feature | open | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | 2025-02-11T17:51:34 | 2025-02-11T18:01:31 | null | https://github.com/huggingface/datasets/issues/7392 | null | 7,392 | false | [
"See also <https://discuss.huggingface.co/t/datasetdict-push-to-hub-failing-with-payload-to-large/140083/8>\n"
] |
2,845,184,764 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | open | pyarrow 尝试了若干个版本都不可以 | 2025-02-11T12:02:26 | 2025-02-11T12:02:26 | null | https://github.com/huggingface/datasets/issues/7391 | null | 7,391 | false | [] |
2,843,813,365 | Re-add py.typed | open | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | 2025-02-10T22:12:52 | 2025-02-10T22:12:52 | null | https://github.com/huggingface/datasets/issues/7390 | null | 7,390 | false | [] |
2,843,592,606 | Getting statistics about filtered examples | closed | @lhoestq wondering if the team has thought about this and if there are any recommendations?
Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | 2025-02-10T20:48:29 | 2025-02-11T20:44:15 | 2025-02-11T20:44:13 | https://github.com/huggingface/datasets/issues/7389 | null | 7,389 | false | [
"You can actually track a running sum in map() or filter() :)\n\n```python\nnum_filtered = 0\n\ndef f(x):\n global num_filtered\n condition = len(x[\"text\"]) < 1000\n if not condition:\n num_filtered += 1\n return condition\n\nds = ds.filter(f)\nprint(num_filtered)\n```\n\nand if you want to use... |
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