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2,631,917,431 | Accessing audio dataset value throws Format not recognised error | open | ### Describe the bug
Accessing audio dataset value throws `Format not recognised error`
### Steps to reproduce the bug
**code:**
```py
from datasets import load_dataset
dataset = load_dataset("fawazahmed0/bug-audio")
for data in dataset["train"]:
print(data)
```
**output:**
```bash
(mypy) ... | 2024-11-04T05:59:13 | 2024-11-09T18:51:52 | null | https://github.com/huggingface/datasets/issues/7276 | null | 7,276 | false | [
"Hi ! can you try if this works ?\r\n\r\n```python\r\nimport soundfile as sf\r\n\r\nwith open('C:\\\\Users\\\\Nawaz-Server\\\\.cache\\\\huggingface\\\\hub\\\\datasets--fawazahmed0--bug-audio\\\\snapshots\\\\fab1398431fed1c0a2a7bff0945465bab8b5daef\\\\data\\\\Ghamadi\\\\037136.mp3', 'rb') as f:\r\n print(sf.read(... |
2,631,713,397 | load_dataset | open | ### Describe the bug
I am performing two operations I see on a hugging face tutorial (Fine-tune a language model), and I am defining every aspect inside the mapped functions, also some imports of the library because it doesnt identify anything not defined outside that function where the dataset elements are being mapp... | 2024-11-04T03:01:44 | 2024-11-04T03:01:44 | null | https://github.com/huggingface/datasets/issues/7275 | null | 7,275 | false | [] |
2,629,882,821 | [MINOR:TYPO] Fix typo in exception text | closed | null | 2024-11-01T21:15:29 | 2025-05-21T13:17:20 | 2025-05-21T13:17:20 | https://github.com/huggingface/datasets/pull/7274 | {
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"merged_at": null
} | 7,274 | true | [] |
2,628,896,492 | Raise error for incorrect JSON serialization | closed | Raise error when `lines = False` and `batch_size < Dataset.num_rows` in `Dataset.to_json()`.
Issue: #7037
Related PRs:
#7039 #7181 | 2024-11-01T11:54:35 | 2024-11-18T11:25:01 | 2024-11-18T11:25:01 | https://github.com/huggingface/datasets/pull/7273 | {
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"merged_at": "2024-11-18T11:25... | 7,273 | true | [
"PTAL @lhoestq @albertvillanova ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7273). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,627,223,390 | fix conda release worlflow | closed | null | 2024-10-31T15:56:19 | 2024-10-31T15:58:35 | 2024-10-31T15:57:29 | https://github.com/huggingface/datasets/pull/7272 | {
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"merged_at": "2024-10-31T15:57... | 7,272 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7272). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,627,135,540 | Set dev version | closed | null | 2024-10-31T15:22:51 | 2024-10-31T15:25:27 | 2024-10-31T15:22:59 | https://github.com/huggingface/datasets/pull/7271 | {
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"merged_at": "2024-10-31T15:22... | 7,271 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7271). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,627,107,016 | Release: 3.1.0 | closed | null | 2024-10-31T15:10:01 | 2024-10-31T15:14:23 | 2024-10-31T15:14:20 | https://github.com/huggingface/datasets/pull/7270 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7270). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,626,873,843 | Memory leak when streaming | open | ### Describe the bug
I try to use a dataset with streaming=True, the issue I have is that the RAM usage becomes higher and higher until it is no longer sustainable.
I understand that huggingface store data in ram during the streaming, and more worker in dataloader there are, more a lot of shard will be stored in ... | 2024-10-31T13:33:52 | 2024-11-18T11:46:07 | null | https://github.com/huggingface/datasets/issues/7269 | null | 7,269 | false | [
"I seem to have encountered the same problem when loading non streaming datasets. load_from_disk. Causing hundreds of GB of memory, but the dataset actually only has 50GB",
"FYI when streaming parquet data, only one row group per worker is loaded in memory at a time.\r\n\r\nBtw for datasets of embeddings you can ... |
2,626,664,687 | load_from_disk | open | ### Describe the bug
I have data saved with save_to_disk. The data is big (700Gb). When I try loading it, the only option is load_from_disk, and this function copies the data to a tmp directory, causing me to run out of disk space. Is there an alternative solution to that?
### Steps to reproduce the bug
when trying ... | 2024-10-31T11:51:56 | 2025-07-01T08:42:17 | null | https://github.com/huggingface/datasets/issues/7268 | null | 7,268 | false | [
"Hello, It's an interesting issue here. I have the same problem, I have a local dataset and I want to push the dataset to the hub but huggingface does a copy of it.\r\n\r\n```py\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"webdataset\", data_files=\"/media/works/data/*.tar\") # copy here\r\n... |
2,626,490,029 | Source installation fails on Macintosh with python 3.10 | open | ### Describe the bug
Hi,
Decord is a dev dependency not maintained since couple years.
It does not have an ARM package available rendering it uninstallable on non-intel based macs
Suggestion is to move to eva-decord (https://github.com/georgia-tech-db/eva-decord) which doesnt have this problem.
Happy to... | 2024-10-31T10:18:45 | 2024-11-04T22:18:06 | null | https://github.com/huggingface/datasets/issues/7267 | null | 7,267 | false | [
"I encountered the same problem on M1, a workaround I did was to simply comment out the dependency:\r\n\r\n```python\r\n...\r\n \"zstandard\",\r\n \"polars[timezone]>=0.20.0\",\r\n # \"decord==0.6.0\",\r\n]\r\n```\r\n\r\nThis worked for me as the adjustments I did to the code do not use the dependency, but... |
2,624,666,087 | The dataset viewer should be available soon. Please retry later. | closed | ### Describe the bug
After waiting for 2 hours, it still presents ``The dataset viewer should be available soon. Please retry later.''
### Steps to reproduce the bug
dataset link: https://huggingface.co/datasets/BryanW/HI_EDIT
### Expected behavior
Present the dataset viewer.
### Environment info
NA | 2024-10-30T16:32:00 | 2024-10-31T03:48:11 | 2024-10-31T03:48:10 | https://github.com/huggingface/datasets/issues/7266 | null | 7,266 | false | [
"Waiting is all you need. 10 hours later, it works."
] |
2,624,090,418 | Disallow video push_to_hub | closed | null | 2024-10-30T13:21:55 | 2024-10-30T13:36:05 | 2024-10-30T13:36:02 | https://github.com/huggingface/datasets/pull/7265 | {
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"merged_at": "2024-10-30T13:36... | 7,265 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7265). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,624,047,640 | fix docs relative links | closed | null | 2024-10-30T13:07:34 | 2024-10-30T13:10:13 | 2024-10-30T13:09:02 | https://github.com/huggingface/datasets/pull/7264 | {
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"merged_at": "2024-10-30T13:09... | 7,264 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7264). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,621,844,054 | Small addition to video docs | closed | null | 2024-10-29T16:58:37 | 2024-10-29T17:01:05 | 2024-10-29T16:59:10 | https://github.com/huggingface/datasets/pull/7263 | {
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"merged_at": "2024-10-29T16:59... | 7,263 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7263). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,620,879,059 | Allow video with disabeld decoding without decord | closed | for the viewer, this way it can use Video(decode=False) and doesn't need decord (which causes segfaults) | 2024-10-29T10:54:04 | 2024-10-29T10:56:19 | 2024-10-29T10:55:37 | https://github.com/huggingface/datasets/pull/7262 | {
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"merged_at": "2024-10-29T10:55... | 7,262 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7262). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,620,510,840 | Cannot load the cache when mapping the dataset | open | ### Describe the bug
I'm training the flux controlnet. The train_dataset.map() takes long time to finish. However, when I killed one training process and want to restart a new training with the same dataset. I can't reuse the mapped result even I defined the cache dir for the dataset.
with accelerator.main_process_... | 2024-10-29T08:29:40 | 2025-03-24T13:27:55 | null | https://github.com/huggingface/datasets/issues/7261 | null | 7,261 | false | [
"@zhangn77 Hi ，have you solved this problem? I encountered the same issue during training. Could we discuss it?",
"I also encountered the same problem, why is that？"
] |
2,620,014,285 | cache can't cleaned or disabled | open | ### Describe the bug
I tried following ways, the cache can't be disabled.
I got 2T data, but I also got more than 2T cache file. I got pressure on storage. I need to diable cache or cleaned immediately after processed. Following ways are all not working, please give some help!
```python
from datasets import ... | 2024-10-29T03:15:28 | 2024-12-11T09:04:52 | null | https://github.com/huggingface/datasets/issues/7260 | null | 7,260 | false | [
"Hey I have a similar problem and found a workaround using [temporary directories](https://docs.python.org/3/library/tempfile.html):\r\n\r\n```python\r\nfrom tempfile import TemporaryDirectory\r\n\r\nwith TemporaryDirectory() as cache_dir:\r\n data = load_dataset('json', data_files=save_local_path, split='train'... |
2,618,909,241 | Don't embed videos | closed | don't include video bytes when running download_and_prepare(format="parquet")
this also affects push_to_hub which will just upload the local paths of the videos though | 2024-10-28T16:25:10 | 2024-10-28T16:27:34 | 2024-10-28T16:26:01 | https://github.com/huggingface/datasets/pull/7259 | {
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"merged_at": "2024-10-28T16:26... | 7,259 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7259). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,618,758,399 | Always set non-null writer batch size | closed | bug introduced in #7230, it was preventing the Viewer limit writes to work | 2024-10-28T15:26:14 | 2024-10-28T15:28:41 | 2024-10-28T15:26:29 | https://github.com/huggingface/datasets/pull/7258 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7258). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,618,602,173 | fix ci for pyarrow 18 | closed | null | 2024-10-28T14:31:34 | 2024-10-28T14:34:05 | 2024-10-28T14:31:44 | https://github.com/huggingface/datasets/pull/7257 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7257). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,618,580,188 | Retry all requests timeouts | closed | as reported in https://github.com/huggingface/datasets/issues/6843 | 2024-10-28T14:23:16 | 2024-10-28T14:56:28 | 2024-10-28T14:56:26 | https://github.com/huggingface/datasets/pull/7256 | {
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"merged_at": "2024-10-28T14:56... | 7,256 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7256). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,618,540,355 | fix decord import | closed | delay the import until Video() is instantiated + also import duckdb first (otherwise importing duckdb later causes a segfault) | 2024-10-28T14:08:19 | 2024-10-28T14:10:43 | 2024-10-28T14:09:14 | https://github.com/huggingface/datasets/pull/7255 | {
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"merged_at": "2024-10-28T14:09... | 7,255 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7255). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,616,174,996 | mismatch for datatypes when providing `Features` with `Array2D` and user specified `dtype` and using with_format("numpy") | open | ### Describe the bug
If the user provides a `Features` type value to `datasets.Dataset` with members having `Array2D` with a value for `dtype`, it is not respected during `with_format("numpy")` which should return a `np.array` with `dtype` that the user provided for `Array2D`. It seems for floats, it will be set to `f... | 2024-10-26T22:06:27 | 2024-10-26T22:07:37 | null | https://github.com/huggingface/datasets/issues/7254 | null | 7,254 | false | [
"It seems that https://github.com/huggingface/datasets/issues/5517 is exactly the same issue.\r\n\r\nIt was mentioned there that this would be fixed in version 3.x"
] |
2,615,862,202 | Unable to upload a large dataset zip either from command line or UI | open | ### Describe the bug
Unable to upload a large dataset zip from command line or UI. UI simply says error. I am trying to a upload a tar.gz file of 17GB.
<img width="550" alt="image" src="https://github.com/user-attachments/assets/f9d29024-06c8-49c4-a109-0492cff79d34">
<img width="755" alt="image" src="https://githu... | 2024-10-26T13:17:06 | 2024-10-26T13:17:06 | null | https://github.com/huggingface/datasets/issues/7253 | null | 7,253 | false | [] |
2,613,795,544 | Add IterableDataset.shard() | closed | Will be useful to distribute a dataset across workers (other than pytorch) like spark
I also renamed `.n_shards` -> `.num_shards` for consistency and kept the old name for backward compatibility. And a few changes in internal functions for consistency as well (rank, world_size -> num_shards, index)
Breaking chang... | 2024-10-25T11:07:12 | 2025-03-21T03:58:43 | 2024-10-25T15:45:22 | https://github.com/huggingface/datasets/pull/7252 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7252). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Is there some way to get this to work for pytorch dataloader workers?\r\n\r\neg. start ... |
2,612,097,435 | Missing video docs | closed | null | 2024-10-24T16:45:12 | 2024-10-24T16:48:29 | 2024-10-24T16:48:27 | https://github.com/huggingface/datasets/pull/7251 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7251). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,612,041,969 | Basic XML support (mostly copy pasted from text) | closed | enable the viewer for datasets like https://huggingface.co/datasets/FrancophonIA/e-calm (there will be more and more apparently)
| 2024-10-24T16:14:50 | 2024-10-24T16:19:18 | 2024-10-24T16:19:16 | https://github.com/huggingface/datasets/pull/7250 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7250). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,610,136,636 | How to debugging | open | ### Describe the bug
I wanted to use my own script to handle the processing, and followed the tutorial documentation by rewriting the MyDatasetConfig and MyDatasetBuilder (which contains the _info,_split_generators and _generate_examples methods) classes. Testing with simple data was able to output the results of the ... | 2024-10-24T01:03:51 | 2024-10-24T01:03:51 | null | https://github.com/huggingface/datasets/issues/7249 | null | 7,249 | false | [] |
2,609,926,089 | ModuleNotFoundError: No module named 'datasets.tasks' | open | ### Describe the bug
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
[<ipython-input-9-13b5f31bd391>](https://bcb6shpazyu-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab_20241022-060119_R... | 2024-10-23T21:58:25 | 2024-10-24T17:00:19 | null | https://github.com/huggingface/datasets/issues/7248 | null | 7,248 | false | [
"tasks was removed in v3: #6999 \r\n\r\nI also don't see why TextClassification is imported, since it's not used after. So the fix is simple: delete this line.",
"I opened https://huggingface.co/datasets/knowledgator/events_classification_biotech/discussions/7 to remove the line, hopefully the dataset owner will ... |
2,606,230,029 | Adding column with dict struction when mapping lead to wrong order | open | ### Describe the bug
in `map()` function, I want to add a new column with a dict structure.
```
def map_fn(example):
example['text'] = {'user': ..., 'assistant': ...}
return example
```
However this leads to a wrong order `{'assistant':..., 'user':...}` in the dataset.
Thus I can't concatenate two datasets ... | 2024-10-22T18:55:11 | 2024-10-22T18:55:23 | null | https://github.com/huggingface/datasets/issues/7247 | null | 7,247 | false | [] |
2,605,734,447 | Set dev version | closed | null | 2024-10-22T15:04:47 | 2024-10-22T15:07:31 | 2024-10-22T15:04:58 | https://github.com/huggingface/datasets/pull/7246 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7246). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,605,701,235 | Release: 3.0.2 | closed | null | 2024-10-22T14:53:34 | 2024-10-22T15:01:50 | 2024-10-22T15:01:47 | https://github.com/huggingface/datasets/pull/7245 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7245). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,605,461,515 | use huggingface_hub offline mode | closed | and better handling of LocalEntryNotfoundError cc @Wauplin
follow up to #7234 | 2024-10-22T13:27:16 | 2024-10-22T14:10:45 | 2024-10-22T14:10:20 | https://github.com/huggingface/datasets/pull/7244 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7244). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,602,853,172 | ArrayXD with None as leading dim incompatible with DatasetCardData | open | ### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Array2D, Dataset, Features, load_dataset
def examples_generator():... | 2024-10-21T15:08:13 | 2024-10-22T14:18:10 | null | https://github.com/huggingface/datasets/issues/7243 | null | 7,243 | false | [
"It looks like `CardData` in `huggingface_hub` removes None values where it shouldn't. Indeed it calls `_remove_none` on the return of `to_dict()`:\r\n\r\n```python\r\n def to_dict(self) -> Dict[str, Any]:\r\n \"\"\"Converts CardData to a dict.\r\n\r\n Returns:\r\n `dict`: CardData repre... |
2,599,899,156 | `push_to_hub` overwrite argument | closed | ### Feature request
Add an `overwrite` argument to the `push_to_hub` method.
### Motivation
I want to overwrite a repo without deleting it on Hugging Face. Is this possible? I couldn't find anything in the documentation or tutorials.
### Your contribution
I can create a PR. | 2024-10-20T03:23:26 | 2024-10-24T17:39:08 | 2024-10-24T17:39:08 | https://github.com/huggingface/datasets/issues/7241 | null | 7,241 | false | [
"Hi ! Do you mean deleting all the files ? or erasing the repository git history before push_to_hub ?",
"Hi! I meant the latter.",
"I don't think there is a `huggingface_hub` utility to erase the git history, cc @Wauplin maybe ?",
"What is the goal exactly of deleting all the git history without deleting the ... |
2,598,980,027 | Feature Request: Add functionality to pass split types like train, test in DatasetDict.map | closed | Hello datasets!
We often encounter situations where we need to preprocess data differently depending on split types such as train, valid, and test.
However, while DatasetDict.map has features to pass rank or index, there's no functionality to pass split types.
Therefore, I propose adding a 'with_splits' parame... | 2024-10-19T09:59:12 | 2025-01-06T08:04:08 | 2025-01-06T08:04:08 | https://github.com/huggingface/datasets/pull/7240 | {
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"merged_at": null
} | 7,240 | true | [] |
2,598,409,993 | incompatibily issue when using load_dataset with datasets==3.0.1 | open | ### Describe the bug
There is a bug when using load_dataset with dataset version at 3.0.1 .
Please see below in the "steps to reproduce the bug".
To resolve the bug, I had to downgrade to version 2.21.0
OS: Ubuntu 24 (AWS instance)
Python: same bug under 3.12 and 3.10
The error I had was:
Traceback (most rec... | 2024-10-18T21:25:23 | 2024-12-09T09:49:32 | null | https://github.com/huggingface/datasets/issues/7238 | null | 7,238 | false | [
"Hi! I'm also getting the same issue - have you been able to find a solution to this? ",
"From what I remember, I stayed at the \"downgraded\" version of dataset (2.21.0)"
] |
2,597,358,525 | [MINOR:TYPO] Update arrow_dataset.py | closed | Fix wrong link.
csv kwargs docstring link was pointing to pandas json docs. | 2024-10-18T12:10:03 | 2024-10-24T15:06:43 | 2024-10-24T15:06:43 | https://github.com/huggingface/datasets/pull/7236 | {
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"merged_at": "2024-10-24T15:06... | 7,236 | true | [] |
2,594,220,624 | No need for dataset_info | closed | save a useless call to /api/datasets/repo_id | 2024-10-17T09:54:03 | 2024-10-22T12:30:40 | 2024-10-21T16:44:34 | https://github.com/huggingface/datasets/pull/7234 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7234.patch",
"merged_at": "2024-10-21T16:44... | 7,234 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7234). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"merging this one for now, let me know if you'd like to see additional changes for error... |
2,593,903,113 | 数据集数量问题 | open | ### Describe the bug
这里我进行大模型微调，当数据集数量为718时，模型可以正常微调，但是当我添加一个在前718个数据集中的数据或者新增一个数据就会报错
### Steps to reproduce the bug
1.
这里我的数据集可以微调的最后两个数据集是：
{
"messages": [
{
"role": "user",
"content": "完成校正装置设计后需要进行哪些工作？"
},
{
"role": "assistant",
"content": "一旦完成校正装置设计后，需要进行系统实际调校... | 2024-10-17T07:41:44 | 2024-10-17T07:41:44 | null | https://github.com/huggingface/datasets/issues/7233 | null | 7,233 | false | [] |
2,593,720,548 | (Super tiny doc update) Mention to_polars | closed | polars is also quite popular now, thus this tiny update can tell users polars is supported | 2024-10-17T06:08:53 | 2024-10-24T23:11:05 | 2024-10-24T15:06:16 | https://github.com/huggingface/datasets/pull/7232 | {
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"merged_at": "2024-10-24T15:06... | 7,232 | true | [
"You are welcome!"
] |
2,592,011,737 | Fix typo in image dataset docs | closed | Fix typo in image dataset docs.
Typo reported by @datavistics. | 2024-10-16T14:05:46 | 2024-10-16T17:06:21 | 2024-10-16T17:06:19 | https://github.com/huggingface/datasets/pull/7231 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7231). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,589,531,942 | Video support | closed | (wip and experimental)
adding the `Video` type based on `VideoReader` from `decord`
```python
>>>from datasets import load_dataset
>>> ds = load_dataset("path/to/videos", split="train").with_format("torch")
>>> print(ds[0]["video"])
<decord.video_reader.VideoReader object at 0x337a47910>
>>> print(ds[0]["vid... | 2024-10-15T18:17:29 | 2024-10-24T16:39:51 | 2024-10-24T16:39:50 | https://github.com/huggingface/datasets/pull/7230 | {
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"merged_at": "2024-10-24T16:39... | 7,230 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7230). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,588,847,398 | handle config_name=None in push_to_hub | closed | This caught me out - thought it might be better to explicitly handle None? | 2024-10-15T13:48:57 | 2024-10-24T17:51:52 | 2024-10-24T17:51:52 | https://github.com/huggingface/datasets/pull/7229 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7229.patch",
"merged_at": null
} | 7,229 | true | [
"not sure it's a good idea, we always need a config name so better have the correct default and not support None (which could lead to think it doesn't have a config name, while it does)"
] |
2,587,310,094 | Composite (multi-column) features | open | ### Feature request
Structured data types (graphs etc.) might often be most efficiently stored as multiple columns, which then need to be combined during feature decoding
Although it is currently possible to nest features as structs, my impression is that in particular when dealing with e.g. a feature composed of... | 2024-10-14T23:59:19 | 2024-10-15T11:17:15 | null | https://github.com/huggingface/datasets/issues/7228 | null | 7,228 | false | [] |
2,587,048,312 | fast array extraction | open | Implements #7210 using method suggested in https://github.com/huggingface/datasets/pull/7207#issuecomment-2411789307
```python
import numpy as np
from datasets import Dataset, Features, Array3D
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32"), "array1": Array3D((None,10,10), dtype="float3... | 2024-10-14T20:51:32 | 2025-01-28T09:39:26 | null | https://github.com/huggingface/datasets/pull/7227 | {
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} | 7,227 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7227). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I've updated the most straightforward failing test cases - lmk if you agree with those.... |
2,586,920,351 | Add R as a How to use from the Polars (R) Library as an option | open | ### Feature request
The boiler plate code to access a dataset via the hugging face file system is very useful. Please addd
## Add Polars (R) option
The equivailent code works, because the [Polars-R](https://github.com/pola-rs/r-polars) wrapper has hugging faces funcitonaliy as well.
```r
library(polars)
... | 2024-10-14T19:56:07 | 2024-10-14T19:57:13 | null | https://github.com/huggingface/datasets/issues/7226 | null | 7,226 | false | [] |
2,586,229,216 | Huggingface GIT returns null as Content-Type instead of application/x-git-receive-pack-result | open | ### Describe the bug
We push changes to our datasets programmatically. Our git client jGit reports that the hf git server returns null as Content-Type after a push.
### Steps to reproduce the bug
A basic kotlin application:
```
val person = PersonIdent(
"padmalcom",
"padmalcom@sth.com"
)
... | 2024-10-14T14:33:06 | 2024-10-14T14:33:06 | null | https://github.com/huggingface/datasets/issues/7225 | null | 7,225 | false | [] |
2,583,233,980 | fallback to default feature casting in case custom features not available during dataset loading | open | a fix for #7223 in case datasets is happy to support this kind of extensibility! seems cool / powerful for allowing sharing of datasets with potentially different feature types | 2024-10-12T16:13:56 | 2024-10-12T16:13:56 | null | https://github.com/huggingface/datasets/pull/7224 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7224.patch",
"merged_at": null
} | 7,224 | true | [] |
2,583,231,590 | Fallback to arrow defaults when loading dataset with custom features that aren't registered locally | open | ### Describe the bug
Datasets allows users to create and register custom features.
However if datasets are then pushed to the hub, this means that anyone calling load_dataset without registering the custom Features in the same way as the dataset creator will get an error message.
It would be nice to offer a fall... | 2024-10-12T16:08:20 | 2024-10-12T16:08:20 | null | https://github.com/huggingface/datasets/issues/7223 | null | 7,223 | false | [] |
2,582,678,033 | TypeError: Couldn't cast array of type string to null in long json | open | ### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently, if al... | 2024-10-12T08:14:59 | 2025-07-21T03:07:32 | null | https://github.com/huggingface/datasets/issues/7222 | null | 7,222 | false | [
"I am encountering this same issue. It seems that the library manages to recognise an optional column (but not **exclusively** null) if there is at least one non-null instance within the same file. For example, given a `test_0.jsonl` file:\r\n```json\r\n{\"a\": \"a1\", \"b\": \"b1\", \"c\": null, \"d\": null}\r\n{\... |
2,582,114,631 | add CustomFeature base class to support user-defined features with encoding/decoding logic | closed | intended as fix for #7220 if this kind of extensibility is something that datasets is willing to support!
```python
from datasets.features.features import CustomFeature
class ListOfStrs(CustomFeature):
requires_encoding = True
def _encode_example(self, value):
if isinstance(value, str):
... | 2024-10-11T20:10:27 | 2025-01-28T09:40:29 | 2025-01-28T09:40:29 | https://github.com/huggingface/datasets/pull/7221 | {
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"merged_at": null
} | 7,221 | true | [
"@lhoestq would you be open to supporting this kind of extensibility?",
"I suggested a fix in https://github.com/huggingface/datasets/issues/7220 that would not necessarily require a parent class for custom features, lmk what you think"
] |
2,582,036,110 | Custom features not compatible with special encoding/decoding logic | open | ### Describe the bug
It is possible to register custom features using datasets.features.features.register_feature (https://github.com/huggingface/datasets/pull/6727)
However such features are not compatible with Features.encode_example/decode_example if they require special encoding / decoding logic because encod... | 2024-10-11T19:20:11 | 2024-11-08T15:10:58 | null | https://github.com/huggingface/datasets/issues/7220 | null | 7,220 | false | [
"I think you can fix this simply by replacing the line with hardcoded features with `hastattr(schema, \"encode_example\")` actually",
"#7284 "
] |
2,581,708,084 | bump fsspec | closed | null | 2024-10-11T15:56:36 | 2024-10-14T08:21:56 | 2024-10-14T08:21:55 | https://github.com/huggingface/datasets/pull/7219 | {
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"merged_at": "2024-10-14T08:21... | 7,219 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7219). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,581,095,098 | ds.map(f, num_proc=10) is slower than df.apply | open | ### Describe the bug
pandas columns: song_id, song_name
ds = Dataset.from_pandas(df)
def has_cover(song_name):
if song_name is None or pd.isna(song_name):
return False
return 'cover' in song_name.lower()
df['has_cover'] = df.song_name.progress_apply(has_cover)
ds = ds.map(lambda x: {'has_cov... | 2024-10-11T11:04:05 | 2025-02-28T21:21:01 | null | https://github.com/huggingface/datasets/issues/7217 | null | 7,217 | false | [
"Hi ! `map()` reads all the columns and writes the resulting dataset with all the columns as well, while df.column_name.apply only reads and writes one column and does it in memory. So this is speed difference is actually expected.\r\n\r\nMoreover using multiprocessing on a dataset that lives in memory (from_pandas... |
2,579,942,939 | Iterable dataset map with explicit features causes slowdown for Sequence features | open | ### Describe the bug
When performing map, it's nice to be able to pass the new feature type, and indeed required by interleave and concatenate datasets.
However, this can cause a major slowdown for certain types of array features due to the features being re-encoded.
This is separate to the slowdown reported i... | 2024-10-10T22:08:20 | 2024-10-10T22:10:32 | null | https://github.com/huggingface/datasets/issues/7215 | null | 7,215 | false | [] |
2,578,743,713 | Formatted map + with_format(None) changes array dtype for iterable datasets | open | ### Describe the bug
When applying with_format -> map -> with_format(None), array dtypes seem to change, even if features are passed
### Steps to reproduce the bug
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32")})
dataset = Dataset.from_dict({f"array0": [np.zeros((100,10,10... | 2024-10-10T12:45:16 | 2024-10-12T16:55:57 | null | https://github.com/huggingface/datasets/issues/7214 | null | 7,214 | false | [
"possibly due to this logic:\r\n\r\n```python\r\n def _arrow_array_to_numpy(self, pa_array: pa.Array) -> np.ndarray:\r\n if isinstance(pa_array, pa.ChunkedArray):\r\n if isinstance(pa_array.type, _ArrayXDExtensionType):\r\n # don't call to_pylist() to preserve dtype of the fixed-... |
2,578,675,565 | Add with_rank to Dataset.from_generator | open | ### Feature request
Add `with_rank` to `Dataset.from_generator` similar to `Dataset.map` and `Dataset.filter`.
### Motivation
As for `Dataset.map` and `Dataset.filter`, this is useful when creating cache files using multi-GPU, where the rank can be used to select GPU IDs. For now, rank can be added in the `ge... | 2024-10-10T12:15:29 | 2024-10-10T12:17:11 | null | https://github.com/huggingface/datasets/issues/7213 | null | 7,213 | false | [] |
2,578,641,259 | Windows do not supprot signal.alarm and singal.signal | open | ### Describe the bug
signal.alarm and signal.signal are used in the load.py module, but these are not supported by Windows.
### Steps to reproduce the bug
lighteval accelerate --model_args "pretrained=gpt2,trust_remote_code=True" --tasks "community|kinit_sts" --custom_tasks "community_tasks/kinit_evals.py" --output... | 2024-10-10T12:00:19 | 2024-10-10T12:00:19 | null | https://github.com/huggingface/datasets/issues/7212 | null | 7,212 | false | [] |
2,576,400,502 | Describe only selected fields in README | open | ### Feature request
Hi Datasets team!
Is it possible to add the ability to describe only selected fields of the dataset files in `README.md`? For example, I have this open dataset ([open-llm-leaderboard/results](https://huggingface.co/datasets/open-llm-leaderboard/results?row=0)) and I want to describe only some f... | 2024-10-09T16:25:47 | 2024-10-09T16:25:47 | null | https://github.com/huggingface/datasets/issues/7211 | null | 7,211 | false | [] |
2,575,883,939 | Convert Array features to numpy arrays rather than lists by default | open | ### Feature request
It is currently quite easy to cause massive slowdowns when using datasets and not familiar with the underlying data conversions by e.g. making bad choices of formatting.
Would it be more user-friendly to set defaults that avoid this as much as possible? e.g. format Array features as numpy arrays... | 2024-10-09T13:05:21 | 2024-10-09T13:05:21 | null | https://github.com/huggingface/datasets/issues/7210 | null | 7,210 | false | [] |
2,575,526,651 | Preserve features in iterable dataset.filter | closed | Fixes example in #7208 - I'm not sure what other checks I should do? @lhoestq
I also haven't thought hard about the concatenate / interleaving example iterables but think this might work assuming that features are either all identical or None? | 2024-10-09T10:42:05 | 2024-10-16T11:27:22 | 2024-10-09T16:04:07 | https://github.com/huggingface/datasets/pull/7209 | {
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"merged_at": "2024-10-09T16:04... | 7,209 | true | [
"Yes your assumption on concatenate/interleave is ok imo.\r\n\r\nIt seems the TypedExamplesIterable can slow down things, it should take formatting into account to not convert numpy arrays to python lists\r\n\r\nright now it's slow (unrelatedly to your PR):\r\n\r\n```python\r\n>>> ds = Dataset.from_dict({\"a\": np.... |
2,575,484,256 | Iterable dataset.filter should not override features | closed | ### Describe the bug
When calling filter on an iterable dataset, the features get set to None
### Steps to reproduce the bug
import numpy as np
import time
from datasets import Dataset, Features, Array3D
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32"), "array1": Array3D((None,... | 2024-10-09T10:23:45 | 2024-10-09T16:08:46 | 2024-10-09T16:08:45 | https://github.com/huggingface/datasets/issues/7208 | null | 7,208 | false | [
"closed by https://github.com/huggingface/datasets/pull/7209, thanks @alex-hh !"
] |
2,573,582,335 | apply formatting after iter_arrow to speed up format -> map, filter for iterable datasets | closed | I got to this by hacking around a bit but it seems to solve #7206
I have no idea if this approach makes sense or would break something else?
Could maybe work on a full pr if this looks reasonable @lhoestq ? I imagine the same issue might affect other iterable dataset methods? | 2024-10-08T15:44:53 | 2025-01-14T18:36:03 | 2025-01-14T16:59:30 | https://github.com/huggingface/datasets/pull/7207 | {
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"merged_at": "2025-01-14T16:59... | 7,207 | true | [
"I think the problem is that the underlying ex_iterable will not use iter_arrow unless the formatting type is arrow, which leads to conversion from arrow -> python -> numpy in this case rather than arrow -> numpy.\r\n\r\nIdea of updated fix is to use the ex_iterable's iter_arrow in any case where it's available and... |
2,573,567,467 | Slow iteration for iterable dataset with numpy formatting for array data | open | ### Describe the bug
When working with large arrays, setting with_format to e.g. numpy then applying map causes a significant slowdown for iterable datasets.
### Steps to reproduce the bug
```python
import numpy as np
import time
from datasets import Dataset, Features, Array3D
features=Features(**{"array... | 2024-10-08T15:38:11 | 2024-10-17T17:14:52 | null | https://github.com/huggingface/datasets/issues/7206 | null | 7,206 | false | [
"The below easily eats up 32G of RAM. Leaving it for a while bricked the laptop with 16GB.\r\n\r\n```\r\ndataset = load_dataset(\"Voxel51/OxfordFlowers102\", data_dir=\"data\").with_format(\"numpy\")\r\nprocessed_dataset = dataset.map(lambda x: x)\r\n```\r\n\r\n![image](https://github.com/user-attachments/assets/c1... |
2,573,490,859 | fix ci benchmark | closed | we're not using the benchmarks anymore + they were not working anyway due to token permissions
I keep the code in case we ever want to re-run the benchmark manually | 2024-10-08T15:06:18 | 2024-10-08T15:25:28 | 2024-10-08T15:25:25 | https://github.com/huggingface/datasets/pull/7205 | {
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"merged_at": "2024-10-08T15:25... | 7,205 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7205). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,573,289,063 | fix unbatched arrow map for iterable datasets | closed | Fixes the bug when applying map to an arrow-formatted iterable dataset described here:
https://github.com/huggingface/datasets/issues/6833#issuecomment-2399903885
```python
from datasets import load_dataset
ds = load_dataset("rotten_tomatoes", split="train", streaming=True)
ds = ds.with_format("arrow").map(l... | 2024-10-08T13:54:09 | 2024-10-08T14:19:47 | 2024-10-08T14:19:47 | https://github.com/huggingface/datasets/pull/7204 | {
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"merged_at": "2024-10-08T14:19... | 7,204 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7204). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,573,154,222 | with_format docstring | closed | reported at https://github.com/huggingface/datasets/issues/3444 | 2024-10-08T13:05:19 | 2024-10-08T13:13:12 | 2024-10-08T13:13:05 | https://github.com/huggingface/datasets/pull/7203 | {
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"merged_at": "2024-10-08T13:13... | 7,203 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7203). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,572,583,798 | `from_parquet` return type annotation | open | ### Describe the bug
As already posted in https://github.com/microsoft/pylance-release/issues/6534, the correct type hinting fails when building a dataset using the `from_parquet` constructor.
Their suggestion is to comprehensively annotate the method's return type to better align with the docstring information.
###... | 2024-10-08T09:08:10 | 2024-10-08T09:08:10 | null | https://github.com/huggingface/datasets/issues/7202 | null | 7,202 | false | [] |
2,569,837,015 | `load_dataset()` of images from a single directory where `train.png` image exists | open | ### Describe the bug
Hey!
Firstly, thanks for maintaining such framework!
I had a small issue, where I wanted to load a custom dataset of image+text captioning. I had all of my images in a single directory, and one of the images had the name `train.png`. Then, the loaded dataset had only this image.
I guess it'... | 2024-10-07T09:14:17 | 2024-10-07T09:14:17 | null | https://github.com/huggingface/datasets/issues/7201 | null | 7,201 | false | [] |
2,567,921,694 | Fix the environment variable for huggingface cache | closed | Resolve #6256. As far as I tested, `HF_DATASETS_CACHE` was ignored and I could not specify the cache directory at all except for the default one by this environment variable. `HF_HOME` has worked. Perhaps the recent change on file downloading by `huggingface_hub` could affect this bug.
In my testing, I could not sp... | 2024-10-05T11:54:35 | 2024-10-30T23:10:27 | 2024-10-08T15:45:18 | https://github.com/huggingface/datasets/pull/7200 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7200.patch",
"merged_at": "2024-10-08T15:45... | 7,200 | true | [
"Hi ! yes now `datasets` uses `huggingface_hub` to download and cache files from the HF Hub so you need to use `HF_HOME` (or manually `HF_HUB_CACHE` and `HF_DATASETS_CACHE` if you want to separate HF Hub cached files and cached datasets Arrow files)\r\n\r\nSo in your change I guess it needs to be `HF_HOME` instead ... |
2,566,788,225 | Add with_rank to Dataset.from_generator | open | Adds `with_rank` to `Dataset.from_generator`. As for `Dataset.map` and `Dataset.filter`, this is useful when creating cache files using multi-GPU. | 2024-10-04T16:51:53 | 2024-10-04T16:51:53 | null | https://github.com/huggingface/datasets/pull/7199 | {
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"merged_at": null
} | 7,199 | true | [] |
2,566,064,849 | Add repeat method to datasets | closed | Following up on discussion in #6623 and #7198 I thought this would be pretty useful for my case so had a go at implementing.
My main motivation is to be able to call iterable_dataset.repeat(None).take(samples_per_epoch) to safely avoid timeout issues in a distributed training setting. This would provide a straightfo... | 2024-10-04T10:45:16 | 2025-02-05T16:32:31 | 2025-02-05T16:32:31 | https://github.com/huggingface/datasets/pull/7198 | {
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"merged_at": "2025-02-05T16:32... | 7,198 | true | [
"@lhoestq does this look reasonable?",
"updated and added test cases!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7198). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"thanks for ... |
2,565,924,788 | ConnectionError: Couldn't reach 'allenai/c4' on the Hub (ConnectionError)数据集下不下来，怎么回事 | open | ### Describe the bug
from datasets import load_dataset
print("11")
traindata = load_dataset('ptb_text_only', 'penn_treebank', split='train')
print("22")
valdata = load_dataset('ptb_text_only',
'penn_treebank',
split='validation')
### Steps to reproduce the b... | 2024-10-04T09:33:25 | 2025-02-26T02:26:16 | null | https://github.com/huggingface/datasets/issues/7197 | null | 7,197 | false | [
"Also cant download \"allenai/c4\", but with different error reported:\r\n```\r\nTraceback (most recent call last): ... |
2,564,218,566 | concatenate_datasets does not preserve shuffling state | open | ### Describe the bug
After concatenate datasets on an iterable dataset, the shuffling state is destroyed, similar to #7156
This means concatenation cant be used for resolving uneven numbers of samples across devices when using iterable datasets in a distributed setting as discussed in #6623
I also noticed th... | 2024-10-03T14:30:38 | 2025-03-18T10:56:47 | null | https://github.com/huggingface/datasets/issues/7196 | null | 7,196 | false | [
"It also does preserve `split_by_node`, so in the meantime you should call `shuffle` or `split_by_node` AFTER `interleave_datasets` or `concatenate_datasets`"
] |
2,564,070,809 | Add support for 3D datasets | open | See https://huggingface.co/datasets/allenai/objaverse for example | 2024-10-03T13:27:44 | 2024-10-04T09:23:36 | null | https://github.com/huggingface/datasets/issues/7195 | null | 7,195 | false | [
"maybe related: https://github.com/huggingface/datasets/issues/6388",
"Also look at https://github.com/huggingface/dataset-viewer/blob/f5fd117ceded990a7766e705bba1203fa907d6ad/services/worker/src/worker/job_runners/dataset/modalities.py#L241 which lists the 3D file formats that will assign the 3D modality to a da... |
2,563,364,199 | datasets.exceptions.DatasetNotFoundError for private dataset | closed | ### Describe the bug
The following Python code tries to download a private dataset and fails with the error `datasets.exceptions.DatasetNotFoundError: Dataset 'ClimatePolicyRadar/all-document-text-data-weekly' doesn't exist on the Hub or cannot be accessed.`. Downloading a public dataset doesn't work.
``` py
fro... | 2024-10-03T07:49:36 | 2024-10-03T10:09:28 | 2024-10-03T10:09:28 | https://github.com/huggingface/datasets/issues/7194 | null | 7,194 | false | [
"Actually there is no such dataset available, that is why you are getting that error.",
"Fixed with @kdutia in Slack chat. Generating a new token fixed this issue. "
] |
2,562,392,887 | Support of num_workers (multiprocessing) in map for IterableDataset | open | ### Feature request
Currently, IterableDataset doesn't support setting num_worker in .map(), which results in slow processing here. Could we add support for it? As .map() can be run in the batch fashion (e.g., batch_size is default to 1000 in datasets), it seems to be doable for IterableDataset as the regular Dataset.... | 2024-10-02T18:34:04 | 2024-10-03T09:54:15 | null | https://github.com/huggingface/datasets/issues/7193 | null | 7,193 | false | [
"I was curious about the same - since map is applied on the fly I was assuming that setting num_workers>1 in DataLoader would effectively do the map in parallel, have you tried that?"
] |
2,562,289,642 | Add repeat() for iterable datasets | closed | ### Feature request
It would be useful to be able to straightforwardly repeat iterable datasets indefinitely, to provide complete control over starting and ending of iteration to the user.
An IterableDataset.repeat(n) function could do this automatically
### Motivation
This feature was discussed in this iss... | 2024-10-02T17:48:13 | 2025-03-18T10:48:33 | 2025-03-18T10:48:32 | https://github.com/huggingface/datasets/issues/7192 | null | 7,192 | false | [
"perhaps concatenate_datasets can already be used to achieve almost the same effect? ",
"`concatenate_datasets` does the job when there is a finite number of repetitions, but in case of `.repeat()` forever we need a new logic in `iterable_dataset.py`",
"done in https://github.com/huggingface/datasets/pull/7198"... |
2,562,206,949 | Solution to issue: #7080 Modified load_dataset function, so that it prompts the user to select a dataset when subdatasets or splits (train, test) are available | closed | # Feel free to give suggestions please..
### This PR is raised because of issue: https://github.com/huggingface/datasets/issues/7080
### This PR gives solution to https://github.com/huggingface/datasets/issues/7080
1. ... | 2024-10-02T17:02:45 | 2024-11-10T08:48:21 | 2024-11-10T08:48:21 | https://github.com/huggingface/datasets/pull/7191 | {
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"merged_at": null
} | 7,191 | true | [
"I think the approach presented in https://github.com/huggingface/datasets/pull/6832 is the one we'll be taking.\r\n\r\nAsking user input is not a good idea since `load_dataset` is used a lot in server that don't have someone in front of them to select a split"
] |
2,562,162,725 | Datasets conflicts with fsspec 2024.9 | open | ### Describe the bug
Installing both in latest versions are not possible
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
But using older version of datasets is ok
`pip install "datasets==1.24.4" "fsspec==2024.9.0"`
### Steps to reproduce the bug
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
#... | 2024-10-02T16:43:46 | 2024-10-10T07:33:18 | null | https://github.com/huggingface/datasets/issues/7190 | null | 7,190 | false | [
"Yes, I need to use the latest version of fsspec and datasets for my usecase. \r\nhttps://github.com/fsspec/s3fs/pull/888#issuecomment-2404204606\r\nhttps://github.com/apache/arrow/issues/34363#issuecomment-2403553473\r\n\r\nlast version where things install without conflict is: 2.14.4\r\n\r\nSo this issue starts f... |
2,562,152,845 | Audio preview in dataset viewer for audio array data without a path/filename | open | ### Feature request
Huggingface has quite a comprehensive set of guides for [audio datasets](https://huggingface.co/docs/datasets/en/audio_dataset). It seems, however, all these guides assume the audio array data to be decoded/inserted into a HF dataset always originates from individual files. The [Audio-dataclass](... | 2024-10-02T16:38:38 | 2024-10-02T17:01:40 | null | https://github.com/huggingface/datasets/issues/7189 | null | 7,189 | false | [] |
2,560,712,689 | Pin multiprocess<0.70.1 to align with dill<0.3.9 | closed | Pin multiprocess<0.70.1 to align with dill<0.3.9.
Note that multiprocess-0.70.1 requires dill-0.3.9: https://github.com/uqfoundation/multiprocess/releases/tag/0.70.17
Fix #7186. | 2024-10-02T05:40:18 | 2024-10-02T06:08:25 | 2024-10-02T06:08:23 | https://github.com/huggingface/datasets/pull/7188 | {
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"merged_at": "2024-10-02T06:08... | 7,188 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7188). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,560,501,308 | shard_data_sources() got an unexpected keyword argument 'worker_id' | open | ### Describe the bug
```
[rank0]: File "/home/qinghao/miniconda3/envs/doremi/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 238, in __iter__
[rank0]: for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None):
[rank0]: File "/home/qinghao/miniconda3/en... | 2024-10-02T01:26:35 | 2024-10-02T01:26:35 | null | https://github.com/huggingface/datasets/issues/7187 | null | 7,187 | false | [] |
2,560,323,917 | pinning `dill<0.3.9` without pinning `multiprocess` | closed | ### Describe the bug
The [latest `multiprocess` release](https://github.com/uqfoundation/multiprocess/releases/tag/0.70.17) requires `dill>=0.3.9` which causes issues when installing `datasets` without backtracking during package version resolution. Is it possible to add a pin for multiprocess so something like `multi... | 2024-10-01T22:29:32 | 2024-10-02T06:08:24 | 2024-10-02T06:08:24 | https://github.com/huggingface/datasets/issues/7186 | null | 7,186 | false | [] |
2,558,508,748 | CI benchmarks are broken | closed | Since Aug 30, 2024, CI benchmarks are broken: https://github.com/huggingface/datasets/actions/runs/11108421214/job/30861323975
```
{"level":"error","message":"Resource not accessible by integration","name":"HttpError","request":{"body":"{\"body\":\"<details>\\n<summary>Show benchmarks</summary>\\n\\nPyArrow==8.0.0\\n... | 2024-10-01T08:16:08 | 2024-10-09T16:07:48 | 2024-10-09T16:07:48 | https://github.com/huggingface/datasets/issues/7185 | null | 7,185 | false | [
"Fixed by #7205"
] |
2,556,855,150 | Pin dill<0.3.9 to fix CI | closed | Pin dill<0.3.9 to fix CI for deps-latest.
Note that dill-0.3.9 was released yesterday Sep 29, 2024:
- https://pypi.org/project/dill/0.3.9/
- https://github.com/uqfoundation/dill/releases/tag/0.3.9
Fix #7183. | 2024-09-30T14:26:25 | 2024-09-30T14:38:59 | 2024-09-30T14:38:57 | https://github.com/huggingface/datasets/pull/7184 | {
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"patch_url": "https://github.com/huggingface/datasets/pull/7184.patch",
"merged_at": "2024-09-30T14:38... | 7,184 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7184). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,556,789,055 | CI is broken for deps-latest | closed | See: https://github.com/huggingface/datasets/actions/runs/11106149906/job/30853879890
```
=========================== short test summary info ============================
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_filter_caching_on_disk - AssertionError: Lists differ: [{'fi[44 chars] {'filename': '/... | 2024-09-30T14:02:07 | 2024-09-30T14:38:58 | 2024-09-30T14:38:58 | https://github.com/huggingface/datasets/issues/7183 | null | 7,183 | false | [] |
2,556,333,671 | Support features in metadata configs | closed | Support features in metadata configs, like:
```
configs:
- config_name: default
features:
- name: id
dtype: int64
- name: name
dtype: string
- name: score
dtype: float64
```
This will allow to avoid inference of data types.
Currently, we allow passing th... | 2024-09-30T11:14:53 | 2024-10-09T16:03:57 | 2024-10-09T16:03:54 | https://github.com/huggingface/datasets/pull/7182 | {
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"merged_at": "2024-10-09T16:03... | 7,182 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7182). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The CI issue is unrelated:\r\n- #7183"
] |
2,554,917,019 | Fix datasets export to JSON | closed | null | 2024-09-29T12:45:20 | 2024-11-01T11:55:36 | 2024-11-01T11:55:36 | https://github.com/huggingface/datasets/pull/7181 | {
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} | 7,181 | true | [
"Linked Issue: #7037\r\nIdeas: #7039 ",
"@albertvillanova / @lhoestq any early feedback?\r\n\r\nAFAIK there is no param `orient` in `load_dataset()`. So for orientations other than \"records\", the loading isn't very accurate. Any thoughts?",
"`orient = \"split\"` can also be handled. I will add the changes soo... |
2,554,244,750 | Memory leak when wrapping datasets into PyTorch Dataset without explicit deletion | closed | ### Describe the bug
I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.
### Steps to reproduce the bug
Steps to reproduce:
Create a PyTorch Dataset wrapper f... | 2024-09-28T14:00:47 | 2024-09-30T12:07:56 | 2024-09-30T12:07:56 | https://github.com/huggingface/datasets/issues/7180 | null | 7,180 | false | [
"> I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.\r\n\r\nDatasets are memory mapped so they work like SWAP memory. In particular as long as you have RAM available the data... |
2,552,387,980 | Support Python 3.11 | closed | Support Python 3.11.
Fix #7178. | 2024-09-27T08:55:44 | 2024-10-08T16:21:06 | 2024-10-08T16:21:03 | https://github.com/huggingface/datasets/pull/7179 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7179",
"html_url": "https://github.com/huggingface/datasets/pull/7179",
"diff_url": "https://github.com/huggingface/datasets/pull/7179.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7179.patch",
"merged_at": "2024-10-08T16:21... | 7,179 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7179). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,552,378,330 | Support Python 3.11 | closed | Support Python 3.11: https://peps.python.org/pep-0664/ | 2024-09-27T08:50:47 | 2024-10-08T16:21:04 | 2024-10-08T16:21:04 | https://github.com/huggingface/datasets/issues/7178 | null | 7,178 | false | [] |
2,552,371,082 | Fix release instructions | closed | Fix release instructions.
During last release, I had to make this additional update. | 2024-09-27T08:47:01 | 2024-09-27T08:57:35 | 2024-09-27T08:57:32 | https://github.com/huggingface/datasets/pull/7177 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7177",
"html_url": "https://github.com/huggingface/datasets/pull/7177",
"diff_url": "https://github.com/huggingface/datasets/pull/7177.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7177.patch",
"merged_at": "2024-09-27T08:57... | 7,177 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7177). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,551,025,564 | fix grammar in fingerprint.py | open | I see this error all the time and it was starting to get to me. | 2024-09-26T16:13:42 | 2024-09-26T16:13:42 | null | https://github.com/huggingface/datasets/pull/7176 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7176",
"html_url": "https://github.com/huggingface/datasets/pull/7176",
"diff_url": "https://github.com/huggingface/datasets/pull/7176.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7176.patch",
"merged_at": null
} | 7,176 | true | [] |
2,550,957,337 | [FSTimeoutError] load_dataset | closed | ### Describe the bug
When using `load_dataset`to load [HuggingFaceM4/VQAv2](https://huggingface.co/datasets/HuggingFaceM4/VQAv2), I am getting `FSTimeoutError`.
### Error
```
TimeoutError:
The above exception was the direct cause of the following exception:
FSTimeoutError Trac... | 2024-09-26T15:42:29 | 2025-02-01T09:09:35 | 2024-09-30T17:28:35 | https://github.com/huggingface/datasets/issues/7175 | null | 7,175 | false | [
"Is this `FSTimeoutError` due to download network issue from remote resource (from where it is being accessed)?",
"It seems to happen for all datasets, not just a specific one, and especially for versions after 3.0. (3.0.0, 3.0.1 have this problem)\r\n\r\nI had the same error on a different dataset, but after dow... |
2,549,892,315 | Set dev version | closed | null | 2024-09-26T08:30:11 | 2024-09-26T08:32:39 | 2024-09-26T08:30:21 | https://github.com/huggingface/datasets/pull/7174 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7174",
"html_url": "https://github.com/huggingface/datasets/pull/7174",
"diff_url": "https://github.com/huggingface/datasets/pull/7174.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7174.patch",
"merged_at": "2024-09-26T08:30... | 7,174 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7174). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,549,882,529 | Release: 3.0.1 | closed | null | 2024-09-26T08:25:54 | 2024-09-26T08:28:29 | 2024-09-26T08:26:03 | https://github.com/huggingface/datasets/pull/7173 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7173",
"html_url": "https://github.com/huggingface/datasets/pull/7173",
"diff_url": "https://github.com/huggingface/datasets/pull/7173.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7173.patch",
"merged_at": "2024-09-26T08:26... | 7,173 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7173). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,549,781,691 | Add torchdata as a regular test dependency | closed | Add `torchdata` as a regular test dependency.
Note that previously, `torchdata` was installed from their repo and current main branch (0.10.0.dev) requires Python>=3.9.
Also note they made a recent release: 0.8.0 on Jul 31, 2024.
Fix #7171. | 2024-09-26T07:45:55 | 2024-09-26T08:12:12 | 2024-09-26T08:05:40 | https://github.com/huggingface/datasets/pull/7172 | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7172",
"html_url": "https://github.com/huggingface/datasets/pull/7172",
"diff_url": "https://github.com/huggingface/datasets/pull/7172.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7172.patch",
"merged_at": "2024-09-26T08:05... | 7,172 | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7172). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,549,738,919 | CI is broken: No solution found when resolving dependencies | closed | See: https://github.com/huggingface/datasets/actions/runs/11046967444/job/30687294297
```
Run uv pip install --system -r additional-tests-requirements.txt --no-deps
× No solution found when resolving dependencies:
╰─▶ Because the current Python version (3.8.18) does not satisfy Python>=3.9
and torchdata=... | 2024-09-26T07:24:58 | 2024-09-26T08:05:41 | 2024-09-26T08:05:41 | https://github.com/huggingface/datasets/issues/7171 | null | 7,171 | false | [] |
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