id int64 599M 3.26B | number int64 1 7.7k | title stringlengths 1 290 | body stringlengths 0 228k ⌀ | state stringclasses 2
values | html_url stringlengths 46 51 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-07-23 08:04:53 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-07-23 18:53:44 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-07-23 16:44:42 ⌀ | user dict | labels listlengths 0 4 | is_pull_request bool 2
classes | comments listlengths 0 0 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,255,350,916 | 7,698 | NotImplementedError when using streaming=True in Google Colab environment | ### Describe the bug
When attempting to load a large dataset (like tiiuae/falcon-refinedweb or allenai/c4) using streaming=True in a standard Google Colab notebook, the process fails with a NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet. This issue persists even after... | open | https://github.com/huggingface/datasets/issues/7698 | 2025-07-23T08:04:53 | 2025-07-23T15:06:23 | null | {
"login": "Aniket17200",
"id": 100470741,
"type": "User"
} | [] | false | [] |
3,254,526,399 | 7,697 | How to solve "Spaces stuck in Building" problems | ### Describe the bug
Reopen #7530
My problem spaces are:
https://huggingface.co/spaces/Genius-Society/url_shortner
https://huggingface.co/spaces/Genius-Society/translator
Please help troubleshoot the problem
### Steps to reproduce the bug
<img width="303" height="266" alt="Image" src="https://github.com/user-atta... | open | https://github.com/huggingface/datasets/issues/7697 | 2025-07-23T01:30:32 | 2025-07-23T01:30:32 | null | {
"login": "kakamond",
"id": 44517413,
"type": "User"
} | [] | false | [] |
3,253,433,350 | 7,696 | load_dataset() in 4.0.0 returns different audio samples compared to earlier versions breaking reproducibility | ### Describe the bug
In datasets 4.0.0 release, `load_dataset()` returns different audio samples compared to earlier versions, this breaks integration tests that depend on consistent sample data across different environments (first and second envs specified below).
### Steps to reproduce the bug
```python
from dat... | open | https://github.com/huggingface/datasets/issues/7696 | 2025-07-22T17:02:17 | 2025-07-22T17:03:24 | null | {
"login": "Manalelaidouni",
"id": 25346345,
"type": "User"
} | [] | false | [] |
3,251,904,843 | 7,695 | Support downloading specific splits in load_dataset | This PR builds on #6832 by @mariosasko.
May close - #4101, #2538
Discussion - https://github.com/huggingface/datasets/pull/7648#issuecomment-3084050130
---
### Note - This PR is under work and frequent changes will be pushed. | open | https://github.com/huggingface/datasets/pull/7695 | 2025-07-22T09:33:54 | 2025-07-23T18:53:44 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,247,600,408 | 7,694 | Dataset.to_json consumes excessive memory, appears to not be a streaming operation | ### Describe the bug
When exporting a Dataset object to a JSON Lines file using the .to_json(lines=True) method, the process consumes a very large amount of memory. The memory usage is proportional to the size of the entire Dataset object being saved, rather than being a low, constant memory operation.
This behavior ... | open | https://github.com/huggingface/datasets/issues/7694 | 2025-07-21T07:51:25 | 2025-07-21T07:51:25 | null | {
"login": "ycq0125",
"id": 49603999,
"type": "User"
} | [] | false | [] |
3,246,369,678 | 7,693 | Dataset scripts are no longer supported, but found superb.py | ### Describe the bug
Hello,
I'm trying to follow the [Hugging Face Pipelines tutorial](https://huggingface.co/docs/transformers/main_classes/pipelines) but the tutorial seems to work only on old datasets versions.
I then get the error :
```
--------------------------------------------------------------------------
... | open | https://github.com/huggingface/datasets/issues/7693 | 2025-07-20T13:48:06 | 2025-07-22T17:11:00 | null | {
"login": "edwinzajac",
"id": 114297534,
"type": "User"
} | [] | false | [] |
3,246,268,635 | 7,692 | xopen: invalid start byte for streaming dataset with trust_remote_code=True | ### Describe the bug
I am trying to load YODAS2 dataset with datasets==3.6.0
```
from datasets import load_dataset
next(iter(load_dataset('espnet/yodas2', name='ru000', split='train', streaming=True, trust_remote_code=True)))
```
And get `UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa8 in position 1: invalid ... | open | https://github.com/huggingface/datasets/issues/7692 | 2025-07-20T11:08:20 | 2025-07-20T11:08:20 | null | {
"login": "sedol1339",
"id": 5188731,
"type": "User"
} | [] | false | [] |
3,245,547,170 | 7,691 | Large WebDataset: pyarrow.lib.ArrowCapacityError on load() even with streaming | ### Describe the bug
I am creating a large WebDataset-format dataset for sign language processing research, and a number of the videos are over 2GB. The instant I hit one of the shards with one of those videos, I get a ArrowCapacityError, even with streaming.
I made a config for the dataset that specifically inclu... | open | https://github.com/huggingface/datasets/issues/7691 | 2025-07-19T18:40:27 | 2025-07-21T19:17:33 | null | {
"login": "cleong110",
"id": 122366389,
"type": "User"
} | [] | false | [] |
3,244,380,691 | 7,690 | HDF5 support | This PR adds support for tabular HDF5 file(s) by converting each row to an Arrow table. It supports columns with the usual dtypes including up to 5-dimensional arrays as well as support for complex/compound types by splitting them into several columns. All datasets within the HDF5 file should have rows on the first dim... | open | https://github.com/huggingface/datasets/pull/7690 | 2025-07-18T21:09:41 | 2025-07-23T02:54:11 | null | {
"login": "klamike",
"id": 17013474,
"type": "User"
} | [] | true | [] |
3,242,580,301 | 7,689 | BadRequestError for loading dataset? | ### Describe the bug
Up until a couple days ago I was having no issues loading `Helsinki-NLP/europarl` and `Helsinki-NLP/un_pc`, but now suddenly I get the following error:
```
huggingface_hub.errors.BadRequestError: (Request ID: ...)
Bad request:
* Invalid input: expected array, received string * at paths * Invalid... | closed | https://github.com/huggingface/datasets/issues/7689 | 2025-07-18T09:30:04 | 2025-07-18T11:59:51 | 2025-07-18T11:52:29 | {
"login": "WPoelman",
"id": 45011687,
"type": "User"
} | [] | false | [] |
3,238,851,443 | 7,688 | No module named "distributed" | ### Describe the bug
hello, when I run the command "from datasets.distributed import split_dataset_by_node", I always met the bug "No module named 'datasets.distributed" in different version like 4.0.0, 2.21.0 and so on. How can I solve this?
### Steps to reproduce the bug
1. pip install datasets
2. from datasets.di... | open | https://github.com/huggingface/datasets/issues/7688 | 2025-07-17T09:32:35 | 2025-07-21T13:50:27 | null | {
"login": "yingtongxiong",
"id": 45058324,
"type": "User"
} | [] | false | [] |
3,238,760,301 | 7,687 | Datasets keeps rebuilding the dataset every time i call the python script | ### Describe the bug
Every time it runs, somehow, samples increase.
This can cause a 12mb dataset to have other built versions of 400 mbs+
<img width="363" height="481" alt="Image" src="https://github.com/user-attachments/assets/766ce958-bd2b-41bc-b950-86710259bfdc" />
### Steps to reproduce the bug
`from datasets... | open | https://github.com/huggingface/datasets/issues/7687 | 2025-07-17T09:03:38 | 2025-07-17T09:03:38 | null | {
"login": "CALEB789",
"id": 58883113,
"type": "User"
} | [] | false | [] |
3,237,201,090 | 7,686 | load_dataset does not check .no_exist files in the hub cache | ### Describe the bug
I'm not entirely sure if this should be submitted as a bug in the `datasets` library or the `huggingface_hub` library, given it could be fixed at different levels of the stack.
The fundamental issue is that the `load_datasets` api doesn't use the `.no_exist` files in the hub cache unlike other wr... | open | https://github.com/huggingface/datasets/issues/7686 | 2025-07-16T20:04:00 | 2025-07-16T20:04:00 | null | {
"login": "jmaccarl",
"id": 3627235,
"type": "User"
} | [] | false | [] |
3,236,979,340 | 7,685 | Inconsistent range request behavior for parquet REST api | ### Describe the bug
First off, I do apologize if this is not the correct repo for submitting this issue. Please direct me to another one if it's more appropriate elsewhere.
The datasets rest api is inconsistently giving `416 Range Not Satisfiable` when using a range request to get portions of the parquet files. Mor... | open | https://github.com/huggingface/datasets/issues/7685 | 2025-07-16T18:39:44 | 2025-07-16T18:41:53 | null | {
"login": "universalmind303",
"id": 21327470,
"type": "User"
} | [] | false | [] |
3,231,680,474 | 7,684 | fix audio cast storage from array + sampling_rate | fix https://github.com/huggingface/datasets/issues/7682 | closed | https://github.com/huggingface/datasets/pull/7684 | 2025-07-15T10:13:42 | 2025-07-15T10:24:08 | 2025-07-15T10:24:07 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,231,553,161 | 7,683 | Convert to string when needed + faster .zstd | for https://huggingface.co/datasets/allenai/olmo-mix-1124 | closed | https://github.com/huggingface/datasets/pull/7683 | 2025-07-15T09:37:44 | 2025-07-15T10:13:58 | 2025-07-15T10:13:56 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,229,687,253 | 7,682 | Fail to cast Audio feature for numpy arrays in datasets 4.0.0 | ### Describe the bug
Casting features with Audio for numpy arrays - done here with `ds.map(gen_sine, features=features)` fails
in version 4.0.0 but not in version 3.6.0
### Steps to reproduce the bug
The following `uv script` should be able to reproduce the bug in version 4.0.0
and pass in version 3.6.0 on a macOS ... | closed | https://github.com/huggingface/datasets/issues/7682 | 2025-07-14T18:41:02 | 2025-07-15T12:10:39 | 2025-07-15T10:24:08 | {
"login": "luatil-cloud",
"id": 163345686,
"type": "User"
} | [] | false | [] |
3,227,112,736 | 7,681 | Probabilistic High Memory Usage and Freeze on Python 3.10 | ### Describe the bug
A probabilistic issue encountered when processing datasets containing PIL.Image columns using the huggingface/datasets library on Python 3.10. The process occasionally experiences a sudden and significant memory spike, reaching 100% utilization, leading to a complete freeze. During this freeze, th... | open | https://github.com/huggingface/datasets/issues/7681 | 2025-07-14T01:57:16 | 2025-07-14T01:57:16 | null | {
"login": "ryan-minato",
"id": 82735346,
"type": "User"
} | [] | false | [] |
3,224,824,151 | 7,680 | Question about iterable dataset and streaming | In the doc, I found the following example: https://github.com/huggingface/datasets/blob/611f5a592359ebac6f858f515c776aa7d99838b2/docs/source/stream.mdx?plain=1#L65-L78
I am confused,
1. If we have already loaded the dataset, why doing `to_iterable_dataset`? Does it go through the dataset faster than map-style datase... | open | https://github.com/huggingface/datasets/issues/7680 | 2025-07-12T04:48:30 | 2025-07-15T13:39:38 | null | {
"login": "Tavish9",
"id": 73541181,
"type": "User"
} | [] | false | [] |
3,220,787,371 | 7,679 | metric glue breaks with 4.0.0 | ### Describe the bug
worked fine with 3.6.0, and with 4.0.0 `eval_metric = metric.compute()` in HF Accelerate breaks.
The code that fails is:
https://huggingface.co/spaces/evaluate-metric/glue/blob/v0.4.0/glue.py#L84
```
def simple_accuracy(preds, labels):
print(preds, labels)
print(f"{preds==labels}")
r... | closed | https://github.com/huggingface/datasets/issues/7679 | 2025-07-10T21:39:50 | 2025-07-11T17:42:01 | 2025-07-11T17:42:01 | {
"login": "stas00",
"id": 10676103,
"type": "User"
} | [] | false | [] |
3,218,625,544 | 7,678 | To support decoding audio data, please install 'torchcodec'. |
In the latest version of datasets==4.0.0, i cannot print the audio data on the Colab notebook. But it works on the 3.6.0 version.
!pip install -q -U datasets huggingface_hub fsspec
from datasets import load_dataset
downloaded_dataset = load_dataset("ymoslem/MediaSpeech", "tr", split="train")
print(downloaded_datase... | closed | https://github.com/huggingface/datasets/issues/7678 | 2025-07-10T09:43:13 | 2025-07-22T03:46:52 | 2025-07-11T05:05:42 | {
"login": "alpcansoydas",
"id": 48163702,
"type": "User"
} | [] | false | [] |
3,218,044,656 | 7,677 | Toxicity fails with datasets 4.0.0 | ### Describe the bug
With the latest 4.0.0 release, huggingface toxicity evaluation module fails with error: `ValueError: text input must be of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).`
### Steps to reproduce the bug
Repro:... | closed | https://github.com/huggingface/datasets/issues/7677 | 2025-07-10T06:15:22 | 2025-07-11T04:40:59 | 2025-07-11T04:40:59 | {
"login": "serena-ruan",
"id": 82044803,
"type": "User"
} | [] | false | [] |
3,216,857,559 | 7,676 | Many things broken since the new 4.0.0 release | ### Describe the bug
The new changes in 4.0.0 are breaking many datasets, including those from lm-evaluation-harness.
I am trying to revert back to older versions, like 3.6.0 to make the eval work but I keep getting:
``` Python
File /venv/main/lib/python3.12/site-packages/datasets/features/features.py:1474, in genera... | open | https://github.com/huggingface/datasets/issues/7676 | 2025-07-09T18:59:50 | 2025-07-21T10:38:01 | null | {
"login": "mobicham",
"id": 37179323,
"type": "User"
} | [] | false | [] |
3,216,699,094 | 7,675 | common_voice_11_0.py failure in dataset library | ### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
---------------------------------------------------------------------------
RuntimeError Tr... | open | https://github.com/huggingface/datasets/issues/7675 | 2025-07-09T17:47:59 | 2025-07-22T09:35:42 | null | {
"login": "egegurel",
"id": 98793855,
"type": "User"
} | [] | false | [] |
3,216,251,069 | 7,674 | set dev version | null | closed | https://github.com/huggingface/datasets/pull/7674 | 2025-07-09T15:01:25 | 2025-07-09T15:04:01 | 2025-07-09T15:01:33 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,216,075,633 | 7,673 | Release: 4.0.0 | null | closed | https://github.com/huggingface/datasets/pull/7673 | 2025-07-09T14:03:16 | 2025-07-09T14:36:19 | 2025-07-09T14:36:18 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,215,287,164 | 7,672 | Fix double sequence | ```python
>>> Features({"a": Sequence(Sequence({"c": Value("int64")}))})
{'a': List({'c': List(Value('int64'))})}
```
instead of `{'a': {'c': List(List(Value('int64')))}}` | closed | https://github.com/huggingface/datasets/pull/7672 | 2025-07-09T09:53:39 | 2025-07-09T09:56:29 | 2025-07-09T09:56:28 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,213,223,886 | 7,671 | Mapping function not working if the first example is returned as None | ### Describe the bug
https://github.com/huggingface/datasets/blob/8a19de052e3d79f79cea26821454bbcf0e9dcd68/src/datasets/arrow_dataset.py#L3652C29-L3652C37
Here we can see the writer is initialized on `i==0`. However, there can be cases where in the user mapping function, the first example is filtered out (length cons... | closed | https://github.com/huggingface/datasets/issues/7671 | 2025-07-08T17:07:47 | 2025-07-09T12:30:32 | 2025-07-09T12:30:32 | {
"login": "dnaihao",
"id": 46325823,
"type": "User"
} | [] | false | [] |
3,208,962,372 | 7,670 | Fix audio bytes | null | closed | https://github.com/huggingface/datasets/pull/7670 | 2025-07-07T13:05:15 | 2025-07-07T13:07:47 | 2025-07-07T13:05:33 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,203,541,091 | 7,669 | How can I add my custom data to huggingface datasets | I want to add my custom dataset in huggingface dataset. Please guide me how to achieve that. | open | https://github.com/huggingface/datasets/issues/7669 | 2025-07-04T19:19:54 | 2025-07-05T18:19:37 | null | {
"login": "xiagod",
"id": 219205504,
"type": "User"
} | [] | false | [] |
3,199,039,322 | 7,668 | Broken EXIF crash the whole program | ### Describe the bug
When parsing this image in the ImageNet1K dataset, the `datasets` crashs whole training process just because unable to parse an invalid EXIF tag.
### Steps to reproduce the bug
Use the `datasets.Image.decod... | open | https://github.com/huggingface/datasets/issues/7668 | 2025-07-03T11:24:15 | 2025-07-03T12:27:16 | null | {
"login": "Seas0",
"id": 30485844,
"type": "User"
} | [] | false | [] |
3,196,251,707 | 7,667 | Fix infer list of images | cc @kashif | closed | https://github.com/huggingface/datasets/pull/7667 | 2025-07-02T15:07:58 | 2025-07-02T15:10:28 | 2025-07-02T15:08:03 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,196,220,722 | 7,666 | Backward compat list feature | cc @kashif | closed | https://github.com/huggingface/datasets/pull/7666 | 2025-07-02T14:58:00 | 2025-07-02T15:00:37 | 2025-07-02T14:59:40 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,193,239,955 | 7,665 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | closed | https://github.com/huggingface/datasets/issues/7665 | 2025-07-01T17:14:53 | 2025-07-01T17:17:48 | 2025-07-01T17:17:48 | {
"login": "zdzichukowalski",
"id": 1151198,
"type": "User"
} | [] | false | [] |
3,193,239,035 | 7,664 | Function load_dataset() misinterprets string field content as part of dataset schema when dealing with `.jsonl` files | ### Describe the bug
When loading a `.jsonl` file using `load_dataset("json", data_files="data.jsonl", split="train")`, the function misinterprets the content of a string field as if it were part of the dataset schema.
In my case there is a field `body:` with a string value
```
"### Describe the bug (...) ,action:... | open | https://github.com/huggingface/datasets/issues/7664 | 2025-07-01T17:14:32 | 2025-07-09T13:14:11 | null | {
"login": "zdzichukowalski",
"id": 1151198,
"type": "User"
} | [] | false | [] |
3,192,582,371 | 7,663 | Custom metadata filenames | example: https://huggingface.co/datasets/lhoestq/overlapping-subsets-imagefolder/tree/main
To make multiple subsets for an imagefolder (one metadata file per subset), e.g.
```yaml
configs:
- config_name: default
metadata_filenames:
- metadata.csv
- config_name: other
metadata_filenames:
... | closed | https://github.com/huggingface/datasets/pull/7663 | 2025-07-01T13:50:36 | 2025-07-01T13:58:41 | 2025-07-01T13:58:39 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,190,805,531 | 7,662 | Applying map after transform with multiprocessing will cause OOM | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | open | https://github.com/huggingface/datasets/issues/7662 | 2025-07-01T05:45:57 | 2025-07-10T06:17:40 | null | {
"login": "JunjieLl",
"id": 26482910,
"type": "User"
} | [] | false | [] |
3,190,408,237 | 7,661 | fix del tqdm lock error | fixes https://github.com/huggingface/datasets/issues/7660 | open | https://github.com/huggingface/datasets/pull/7661 | 2025-07-01T02:04:02 | 2025-07-08T01:38:46 | null | {
"login": "Hypothesis-Z",
"id": 44766273,
"type": "User"
} | [] | true | [] |
3,189,028,251 | 7,660 | AttributeError: type object 'tqdm' has no attribute '_lock' | ### Describe the bug
`AttributeError: type object 'tqdm' has no attribute '_lock'`
It occurs when I'm trying to load datasets in thread pool.
Issue https://github.com/huggingface/datasets/issues/6066 and PR https://github.com/huggingface/datasets/pull/6067 https://github.com/huggingface/datasets/pull/6068 tried to f... | open | https://github.com/huggingface/datasets/issues/7660 | 2025-06-30T15:57:16 | 2025-07-03T15:14:27 | null | {
"login": "Hypothesis-Z",
"id": 44766273,
"type": "User"
} | [] | false | [] |
3,187,882,217 | 7,659 | Update the beans dataset link in Preprocess | In the Preprocess tutorial, the to "the beans dataset" is incorrect. Fixed. | closed | https://github.com/huggingface/datasets/pull/7659 | 2025-06-30T09:58:44 | 2025-07-07T08:38:19 | 2025-07-01T14:01:42 | {
"login": "HJassar",
"id": 5434867,
"type": "User"
} | [] | true | [] |
3,187,800,504 | 7,658 | Fix: Prevent loss of info.features and column_names in IterableDatasetDict.map when features is None | This PR fixes a bug where calling `IterableDatasetDict.map()` or `IterableDataset.map()` with the default `features=None` argument would overwrite the existing `info.features` attribute with `None`. This, in turn, caused the resulting dataset to lose its schema, breaking downstream usage of attributes like `column_name... | closed | https://github.com/huggingface/datasets/pull/7658 | 2025-06-30T09:31:12 | 2025-07-01T16:26:30 | 2025-07-01T16:26:12 | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,186,036,016 | 7,657 | feat: add subset_name as alias for name in load_dataset | fixes #7637
This PR introduces subset_name as a user-facing alias for the name (previously `config_name`) argument in load_dataset. It aligns terminology with the Hugging Face Hub UI (which shows “Subset”), reducing confusion for new users.
Supports `subset_name` in `load_dataset()`
Adds `.subset_name` propert... | open | https://github.com/huggingface/datasets/pull/7657 | 2025-06-29T10:39:00 | 2025-07-18T17:45:41 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,185,865,686 | 7,656 | fix(iterable): ensure MappedExamplesIterable supports state_dict for resume | Fixes #7630
### Problem
When calling `.map()` on an `IterableDataset`, resuming from a checkpoint skips a large number of samples. This is because `MappedExamplesIterable` did not implement `state_dict()` or `load_state_dict()`, so checkpointing was not properly delegated to the underlying iterable.
### What Thi... | open | https://github.com/huggingface/datasets/pull/7656 | 2025-06-29T07:50:13 | 2025-06-29T07:50:13 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,185,382,105 | 7,655 | Added specific use cases in Improve Performace | Fixes #2494 | open | https://github.com/huggingface/datasets/pull/7655 | 2025-06-28T19:00:32 | 2025-06-28T19:00:32 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,184,770,992 | 7,654 | fix(load): strip deprecated use_auth_token from config_kwargs | Fixes #7504
This PR resolves a compatibility error when loading datasets via `load_dataset()` using outdated arguments like `use_auth_token`.
**What was happening:**
Users passing `use_auth_token` in `load_dataset(..., use_auth_token=...)` encountered a `ValueError`: BuilderConfig ParquetConfig(...) doesn't have... | open | https://github.com/huggingface/datasets/pull/7654 | 2025-06-28T09:20:21 | 2025-06-28T09:20:21 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,184,746,093 | 7,653 | feat(load): fallback to `load_from_disk()` when loading a saved dataset directory | ### Related Issue
Fixes #7503
Partially addresses #5044 by allowing `load_dataset()` to auto-detect and gracefully delegate to `load_from_disk()` for locally saved datasets.
---
### What does this PR do?
This PR introduces a minimal fallback mechanism in `load_dataset()` that detects when the provided `p... | open | https://github.com/huggingface/datasets/pull/7653 | 2025-06-28T08:47:36 | 2025-06-28T08:47:36 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,183,372,055 | 7,652 | Add columns support to JSON loader for selective key filtering | Fixes #7594
This PR adds support for filtering specific columns when loading datasets from .json or .jsonl files — similar to how the columns=... argument works for Parquet.
As suggested, support for the `columns=...` argument (previously available for Parquet) has now been extended to **JSON and JSONL** loading v... | open | https://github.com/huggingface/datasets/pull/7652 | 2025-06-27T16:18:42 | 2025-07-14T10:41:53 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,182,792,775 | 7,651 | fix: Extended metadata file names for folder_based_builder | Fixes #7650.
The metadata files generated by the `DatasetDict.save_to_file` function are not included in the folder_based_builder's metadata list, causing issues when only 1 actual data file is present, as described in issue #7650.
This PR adds these filenames to the builder, allowing correct loading. | open | https://github.com/huggingface/datasets/pull/7651 | 2025-06-27T13:12:11 | 2025-06-30T08:19:37 | null | {
"login": "iPieter",
"id": 6965756,
"type": "User"
} | [] | true | [] |
3,182,745,315 | 7,650 | `load_dataset` defaults to json file format for datasets with 1 shard | ### Describe the bug
I currently have multiple datasets (train+validation) saved as 50MB shards. For one dataset the validation pair is small enough to fit into a single shard and this apparently causes problems when loading the dataset. I created the datasets using a DatasetDict, saved them as 50MB arrow files for st... | open | https://github.com/huggingface/datasets/issues/7650 | 2025-06-27T12:54:25 | 2025-06-27T12:54:25 | null | {
"login": "iPieter",
"id": 6965756,
"type": "User"
} | [] | false | [] |
3,181,481,444 | 7,649 | Enable parallel shard upload in push_to_hub() using num_proc | Fixes #7591
### Add num_proc support to `push_to_hub()` for parallel shard upload
This PR adds support for parallel upload of dataset shards via the `num_proc` argument in `Dataset.push_to_hub()`.
📌 While the `num_proc` parameter was already present in the `push_to_hub()` signature and correctly passed to `_p... | closed | https://github.com/huggingface/datasets/pull/7649 | 2025-06-27T05:59:03 | 2025-07-07T18:13:53 | 2025-07-07T18:13:52 | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,181,409,736 | 7,648 | Fix misleading add_column() usage example in docstring | Fixes #7611
This PR fixes the usage example in the Dataset.add_column() docstring, which previously implied that add_column() modifies the dataset in-place.
Why:
The method returns a new dataset with the additional column, and users must assign the result to a variable to preserve the change.
This should make... | closed | https://github.com/huggingface/datasets/pull/7648 | 2025-06-27T05:27:04 | 2025-07-20T16:07:49 | 2025-07-17T13:14:17 | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,178,952,517 | 7,647 | loading mozilla-foundation--common_voice_11_0 fails | ### Describe the bug
Hello everyone,
i am trying to load `mozilla-foundation--common_voice_11_0` and it fails. Reproducer
```
import datasets
datasets.load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True, trust_remote_code=True)
```
and it fails with
```
File ~/opt/envs/.../lib/py... | open | https://github.com/huggingface/datasets/issues/7647 | 2025-06-26T12:23:48 | 2025-07-10T14:49:30 | null | {
"login": "pavel-esir",
"id": 5703039,
"type": "User"
} | [] | false | [] |
3,178,036,854 | 7,646 | Introduces automatic subset-level grouping for folder-based dataset builders #7066 | Fixes #7066
This PR introduces automatic **subset-level grouping** for folder-based dataset builders by:
1. Adding a utility function `group_files_by_subset()` that clusters files by root name (ignoring digits and shard suffixes).
2. Integrating this logic into `FolderBasedBuilder._split_generators()` to yield one... | open | https://github.com/huggingface/datasets/pull/7646 | 2025-06-26T07:01:37 | 2025-07-14T10:42:56 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,176,810,164 | 7,645 | `ClassLabel` docs: Correct value for unknown labels | This small change fixes the documentation to to be compliant with what happens in `encode_example`.
https://github.com/huggingface/datasets/blob/e71b0b19d79c7531f9b9bea7c09916b5f6157f42/src/datasets/features/features.py#L1126-L1129 | open | https://github.com/huggingface/datasets/pull/7645 | 2025-06-25T20:01:35 | 2025-06-25T20:01:35 | null | {
"login": "l-uuz",
"id": 56924246,
"type": "User"
} | [] | true | [] |
3,176,363,492 | 7,644 | fix sequence ci | fix error from https://github.com/huggingface/datasets/pull/7643 | closed | https://github.com/huggingface/datasets/pull/7644 | 2025-06-25T17:07:55 | 2025-06-25T17:10:30 | 2025-06-25T17:08:01 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,176,354,431 | 7,643 | Backward compat sequence instance | useful to still get `isinstance(Sequence(Value("int64")), Sequence)`for downstream libs like evaluate | closed | https://github.com/huggingface/datasets/pull/7643 | 2025-06-25T17:05:09 | 2025-06-25T17:07:40 | 2025-06-25T17:05:44 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,176,025,890 | 7,642 | fix length for ci | null | closed | https://github.com/huggingface/datasets/pull/7642 | 2025-06-25T15:10:38 | 2025-06-25T15:11:53 | 2025-06-25T15:11:51 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,175,953,405 | 7,641 | update docs and docstrings | null | closed | https://github.com/huggingface/datasets/pull/7641 | 2025-06-25T14:48:58 | 2025-06-25T14:51:46 | 2025-06-25T14:49:33 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,175,914,924 | 7,640 | better features repr | following the addition of List in #7634
before:
```python
In [3]: ds.features
Out[3]:
{'json': {'id': Value(dtype='string', id=None),
'metadata:transcript': [{'end': Value(dtype='float64', id=None),
'start': Value(dtype='float64', id=None),
'transcript': Value(dtype='string', id=None),
'wor... | closed | https://github.com/huggingface/datasets/pull/7640 | 2025-06-25T14:37:32 | 2025-06-25T14:46:47 | 2025-06-25T14:46:45 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,175,616,169 | 7,639 | fix save_infos | null | closed | https://github.com/huggingface/datasets/pull/7639 | 2025-06-25T13:16:26 | 2025-06-25T13:19:33 | 2025-06-25T13:16:33 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,172,645,391 | 7,638 | Add ignore_decode_errors option to Image feature for robust decoding #7612 | This PR implements support for robust image decoding in the `Image` feature, as discussed in issue #7612.
## 🔧 What was added
- A new boolean field: `ignore_decode_errors` (default: `False`)
- If set to `True`, any exceptions during decoding will be caught, and `None` will be returned instead of raising an error
... | open | https://github.com/huggingface/datasets/pull/7638 | 2025-06-24T16:47:51 | 2025-07-04T07:07:30 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,171,883,522 | 7,637 | Introduce subset_name as an alias of config_name | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | open | https://github.com/huggingface/datasets/issues/7637 | 2025-06-24T12:49:01 | 2025-07-01T16:08:33 | null | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
3,170,878,167 | 7,636 | "open" in globals()["__builtins__"], an error occurs: "TypeError: argument of type 'module' is not iterable" | When I run the following code, an error occurs: "TypeError: argument of type 'module' is not iterable"
```python
print("open" in globals()["__builtins__"])
```
Traceback (most recent call last):
File "./main.py", line 2, in <module>
print("open" in globals()["__builtins__"])
^^^^^^^^^^^^^^^^^^^^^^
TypeE... | open | https://github.com/huggingface/datasets/issues/7636 | 2025-06-24T08:09:39 | 2025-07-10T04:13:16 | null | {
"login": "kuanyan9527",
"id": 51187979,
"type": "User"
} | [] | false | [] |
3,170,486,408 | 7,635 | Fix: Preserve float columns in JSON loader when values are integer-like (e.g. 0.0, 1.0) | This PR fixes a bug in the JSON loader where columns containing float values like `[0.0, 1.0, 2.0]` were being implicitly coerced to `int`, due to pandas or Arrow type inference.
This caused issues downstream in statistics computation (e.g., dataset-viewer) where such columns were incorrectly labeled as `"int"` inst... | open | https://github.com/huggingface/datasets/pull/7635 | 2025-06-24T06:16:48 | 2025-06-24T06:16:48 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,169,389,653 | 7,634 | Replace Sequence by List | Sequence is just a utility that we need to keep for backward compatibility. And `[ ]` was used instead but doesn't allow passing the length of the list.
This PR removes most mentions of Sequence and usage of `[ ]` and defines a proper List type instead.
before: `Sequence(Value("int64"))` or `[Value("int64")]`
no... | closed | https://github.com/huggingface/datasets/pull/7634 | 2025-06-23T20:35:48 | 2025-06-25T13:59:13 | 2025-06-25T13:59:11 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,168,399,637 | 7,633 | Proposal: Small Tamil Discourse Coherence Dataset. | I’m a beginner from NIT Srinagar proposing a dataset of 50 Tamil text pairs for discourse coherence (coherent/incoherent labels) to support NLP research in low-resource languages.
- Size: 50 samples
- Format: CSV with columns (text1, text2, label)
- Use case: Training NLP models for coherence
I’ll use GitHub’s web edit... | open | https://github.com/huggingface/datasets/issues/7633 | 2025-06-23T14:24:40 | 2025-06-23T14:24:40 | null | {
"login": "bikkiNitSrinagar",
"id": 66418501,
"type": "User"
} | [] | false | [] |
3,168,283,589 | 7,632 | Graceful Error Handling for cast_column("image", Image(decode=True)) in Hugging Face Datasets | ### Feature request
Currently, when using dataset.cast_column("image", Image(decode=True)), the pipeline throws an error and halts if any image in the dataset is invalid or corrupted (e.g., truncated files, incorrect formats, unreachable URLs). This behavior disrupts large-scale processing where a few faulty samples a... | open | https://github.com/huggingface/datasets/issues/7632 | 2025-06-23T13:49:24 | 2025-07-08T06:52:53 | null | {
"login": "ganiket19",
"id": 37377515,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
3,165,127,657 | 7,631 | Pass user-agent from DownloadConfig into fsspec storage_options | Fixes part of issue #6046
### Problem
The `user-agent` defined in `DownloadConfig` was not passed down to fsspec-based filesystems like `HfFileSystem`, which prevents proper identification/tracking of client requests.
### Solution
Added support for injecting the `user-agent` into `storage_options["headers"]` wi... | open | https://github.com/huggingface/datasets/pull/7631 | 2025-06-21T14:22:25 | 2025-06-21T14:25:28 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,164,650,900 | 7,630 | [bug] resume from ckpt skips samples if .map is applied | ### Describe the bug
resume from ckpt skips samples if .map is applied
Maybe related: https://github.com/huggingface/datasets/issues/7538
### Steps to reproduce the bug
```python
from datasets import Dataset
from datasets.distributed import split_dataset_by_node
# Create dataset with map transformation
def create... | open | https://github.com/huggingface/datasets/issues/7630 | 2025-06-21T01:50:03 | 2025-06-29T07:51:32 | null | {
"login": "felipemello1",
"id": 23004953,
"type": "User"
} | [] | false | [] |
3,161,169,782 | 7,629 | Add test for `as_iterable_dataset()` method in DatasetBuilder | This PR adds a test for the new `as_iterable_dataset()` method introduced in PR #7628.
The test:
- Loads a builder using `load_dataset_builder("c4", "en")`
- Runs `download_and_prepare()`
- Streams examples using `builder.as_iterable_dataset(split="train[:100]")`
- Verifies streamed examples contain the "text" f... | open | https://github.com/huggingface/datasets/pull/7629 | 2025-06-19T19:23:55 | 2025-06-19T19:23:55 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,161,156,461 | 7,628 | Add `as_iterable_dataset()` method to DatasetBuilder for streaming from cached Arrow files | This PR implements `builder.as_iterable_dataset(split=...)` as discussed in #5481.
It allows users to load an `IterableDataset` directly from cached Arrow files (using ArrowReader and ArrowExamplesIterable), without loading the full dataset into memory.
This is useful for large-scale training scenarios where memo... | open | https://github.com/huggingface/datasets/pull/7628 | 2025-06-19T19:15:41 | 2025-06-19T19:15:41 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,160,544,390 | 7,627 | Creating a HF Dataset from lakeFS with S3 storage takes too much time! | Hi,
I’m new to HF dataset and I tried to create datasets based on data versioned in **lakeFS** _(**MinIO** S3 bucket as storage backend)_
Here I’m using ±30000 PIL image from MNIST data however it is taking around 12min to execute, which is a lot!
From what I understand, it is loading the images into cache then buil... | closed | https://github.com/huggingface/datasets/issues/7627 | 2025-06-19T14:28:41 | 2025-06-23T12:39:10 | 2025-06-23T12:39:10 | {
"login": "Thunderhead-exe",
"id": 118734142,
"type": "User"
} | [] | false | [] |
3,159,322,138 | 7,626 | feat(map): reuse unchanged columns when input_columns specified to reduce disk usage (#6013) | ## Summary
This PR addresses [#6013](https://github.com/huggingface/datasets/issues/6013) by reusing unchanged columns from the original dataset in the `map()` method when `input_columns` is specified.
## What’s Implemented
- Injected logic at the end of `Dataset.map()` to:
- Identify untouched columns not ... | open | https://github.com/huggingface/datasets/pull/7626 | 2025-06-19T07:41:45 | 2025-07-18T17:36:35 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,159,016,001 | 7,625 | feat: Add h5folder dataset loader for HDF5 support | ### Related Issue
Closes #3113
### What does this PR do?
This PR introduces a new dataset loader module called **`h5folder`** to support loading datasets stored in **HDF5 (.h5)** format.
It allows users to do:
```python
from datasets import load_dataset
dataset = load_dataset("h5folder", data_dir="path/t... | open | https://github.com/huggingface/datasets/pull/7625 | 2025-06-19T05:39:10 | 2025-06-26T05:44:26 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,156,136,624 | 7,624 | #Dataset Make "image" column appear first in dataset preview UI | Hi!
#Dataset
I’m currently uploading a dataset that includes an `"image"` column (PNG files), along with some metadata columns. The dataset is loaded from a .jsonl file. My goal is to have the "image" column appear as the first column in the dataset card preview UI on the :hugs: Hub.
However, at the moment, the `"im... | closed | https://github.com/huggingface/datasets/issues/7624 | 2025-06-18T09:25:19 | 2025-06-20T07:46:43 | 2025-06-20T07:46:43 | {
"login": "jcerveto",
"id": 98875217,
"type": "User"
} | [] | false | [] |
3,154,519,684 | 7,623 | fix: raise error in FolderBasedBuilder when data_dir and data_files are missing | ### Related Issues/PRs
Fixes #6152
---
### What changes are proposed in this pull request?
This PR adds a dedicated validation check in the `_info()` method of the `FolderBasedBuilder` class to ensure that users provide either `data_dir` or `data_files` when loading folder-based datasets (such as `audiofold... | closed | https://github.com/huggingface/datasets/pull/7623 | 2025-06-17T19:16:34 | 2025-06-18T14:18:41 | 2025-06-18T14:18:41 | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,154,398,557 | 7,622 | Guard against duplicate builder_kwargs/config_kwargs in load_dataset_… | …builder (#4910 )
### What does this PR do?
Fixes edge case in `load_dataset_builder` by raising a `TypeError` if the same key exists in both `builder_kwargs` and `config_kwargs`.
### Implementation details
- Added a guard clause in `load_dataset_builder` to detect duplicate keys between `builder_kwargs` an... | closed | https://github.com/huggingface/datasets/pull/7622 | 2025-06-17T18:28:35 | 2025-07-23T14:06:20 | 2025-07-23T14:06:20 | {
"login": "Shohail-Ismail",
"id": 149825575,
"type": "User"
} | [] | true | [] |
3,153,780,963 | 7,621 | minor docs data aug | null | closed | https://github.com/huggingface/datasets/pull/7621 | 2025-06-17T14:46:57 | 2025-06-17T14:50:28 | 2025-06-17T14:47:11 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,153,565,183 | 7,620 | Fixes in docs | before release 4.0
(I also did minor improvements to `features` to not show their `id=None` in their `__repr__()`) | closed | https://github.com/huggingface/datasets/pull/7620 | 2025-06-17T13:41:54 | 2025-06-17T13:58:26 | 2025-06-17T13:58:24 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,153,058,517 | 7,619 | `from_list` fails while `from_generator` works for large datasets | ### Describe the bug
I am constructing a large time series dataset and observed that first constructing a list of entries and then using `Dataset.from_list` led to a crash as the number of items became large. However, this is not a problem when using `Dataset.from_generator`.
### Steps to reproduce the bug
#### Snip... | open | https://github.com/huggingface/datasets/issues/7619 | 2025-06-17T10:58:55 | 2025-06-29T16:34:44 | null | {
"login": "abdulfatir",
"id": 4028948,
"type": "User"
} | [] | false | [] |
3,148,912,897 | 7,618 | fix: raise error when folder-based datasets are loaded without data_dir or data_files |
### Related Issues/PRs
<!-- Uncomment 'Resolve' if this PR can close the linked items. -->
<!-- Resolve --> #6152
---
### What changes are proposed in this pull request?
This PR adds an early validation step for folder-based datasets (like `audiofolder`) to prevent silent fallback behavior.
**Before t... | open | https://github.com/huggingface/datasets/pull/7618 | 2025-06-16T07:43:59 | 2025-06-16T12:13:26 | null | {
"login": "ArjunJagdale",
"id": 142811259,
"type": "User"
} | [] | true | [] |
3,148,102,085 | 7,617 | Unwanted column padding in nested lists of dicts | ```python
from datasets import Dataset
dataset = Dataset.from_dict({
"messages": [
[
{"a": "...",},
{"b": "...",},
],
]
})
print(dataset[0])
```
What I get:
```
{'messages': [{'a': '...', 'b': None}, {'a': None, 'b': '...'}]}
```
What I want:
```
{'messages': [{'a': '... | closed | https://github.com/huggingface/datasets/issues/7617 | 2025-06-15T22:06:17 | 2025-06-16T13:43:31 | 2025-06-16T13:43:31 | {
"login": "qgallouedec",
"id": 45557362,
"type": "User"
} | [] | false | [] |
3,144,506,665 | 7,616 | Torchcodec decoding | Closes #7607
## New signatures
### Audio
```python
Audio(sampling_rate: Optional[int] = None, mono: bool = True, decode: bool = True, stream_index: Optional[int] = None)
Audio.encode_example(self, value: Union[str, bytes, bytearray, dict, "AudioDecoder"]) -> dict
Audio.decode_example(self, value: dict, token_... | closed | https://github.com/huggingface/datasets/pull/7616 | 2025-06-13T19:06:07 | 2025-06-19T18:25:49 | 2025-06-19T18:25:49 | {
"login": "TyTodd",
"id": 49127578,
"type": "User"
} | [] | true | [] |
3,143,443,498 | 7,615 | remove unused code | null | closed | https://github.com/huggingface/datasets/pull/7615 | 2025-06-13T12:37:30 | 2025-06-13T12:39:59 | 2025-06-13T12:37:40 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,143,381,638 | 7,614 | Lazy column | Same as https://github.com/huggingface/datasets/pull/7564 but for `Dataset`, cc @TopCoder2K FYI
e.g. `ds[col]` now returns a lazy Column instead of a list
This way calling `ds[col][idx]` only loads the required data in memory
(bonus: also supports subfields access with `ds[col][subcol][idx]`)
the breaking c... | closed | https://github.com/huggingface/datasets/pull/7614 | 2025-06-13T12:12:57 | 2025-06-17T13:08:51 | 2025-06-17T13:08:49 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,142,819,991 | 7,613 | fix parallel push_to_hub in dataset_dict | null | closed | https://github.com/huggingface/datasets/pull/7613 | 2025-06-13T09:02:24 | 2025-06-13T12:30:23 | 2025-06-13T12:30:22 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,141,905,049 | 7,612 | Provide an option of robust dataset iterator with error handling | ### Feature request
Adding an option to skip corrupted data samples. Currently the datasets behavior is throwing errors if the data sample if corrupted and let user aware and handle the data corruption. When I tried to try-catch the error at user level, the iterator will raise StopIteration when I called next() again.... | open | https://github.com/huggingface/datasets/issues/7612 | 2025-06-13T00:40:48 | 2025-06-24T16:52:30 | null | {
"login": "wwwjn",
"id": 40016222,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
3,141,383,940 | 7,611 | Code example for dataset.add_column() does not reflect correct way to use function | https://github.com/huggingface/datasets/blame/38d4d0e11e22fdbc4acf373d2421d25abeb43439/src/datasets/arrow_dataset.py#L5925C10-L5925C10
The example seems to suggest that dataset.add_column() can add column inplace, however, this is wrong -- it cannot. It returns a new dataset with the column added to it. | closed | https://github.com/huggingface/datasets/issues/7611 | 2025-06-12T19:42:29 | 2025-07-17T13:14:18 | 2025-07-17T13:14:18 | {
"login": "shaily99",
"id": 31388649,
"type": "User"
} | [] | false | [] |
3,141,281,560 | 7,610 | i cant confirm email | ### Describe the bug
This is dificult, I cant confirm email because I'm not get any email!
I cant post forum because I cant confirm email!
I can send help desk because... no exist on web page.
paragraph 44
### Steps to reproduce the bug
rthjrtrt
### Expected behavior
ewtgfwetgf
### Environment info
sdgfswdegfwe | open | https://github.com/huggingface/datasets/issues/7610 | 2025-06-12T18:58:49 | 2025-06-27T14:36:47 | null | {
"login": "lykamspam",
"id": 187984415,
"type": "User"
} | [] | false | [] |
3,140,373,128 | 7,609 | Update `_dill.py` to use `co_linetable` for Python 3.10+ in place of `co_lnotab` | Not 100% about this one, but it seems to be recommended.
```
/fsx/qgallouedec/miniconda3/envs/trl/lib/python3.12/site-packages/datasets/utils/_dill.py:385: DeprecationWarning: co_lnotab is deprecated, use co_lines instead.
```
Tests pass locally. And the warning is gone with this change.
https://peps.python.or... | closed | https://github.com/huggingface/datasets/pull/7609 | 2025-06-12T13:47:01 | 2025-06-16T12:14:10 | 2025-06-16T12:14:08 | {
"login": "qgallouedec",
"id": 45557362,
"type": "User"
} | [] | true | [] |
3,137,564,259 | 7,608 | Tests typing and fixes for push_to_hub | todo:
- [x] fix TestPushToHub.test_push_dataset_dict_to_hub_iterable_num_proc | closed | https://github.com/huggingface/datasets/pull/7608 | 2025-06-11T17:13:52 | 2025-06-12T21:15:23 | 2025-06-12T21:15:21 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,135,722,560 | 7,607 | Video and audio decoding with torchcodec | ### Feature request
Pytorch is migrating video processing to torchcodec and it's pretty cool. It would be nice to migrate both the audio and video features to use torchcodec instead of torchaudio/video.
### Motivation
My use case is I'm working on a multimodal AV model, and what's nice about torchcodec is I can extr... | closed | https://github.com/huggingface/datasets/issues/7607 | 2025-06-11T07:02:30 | 2025-06-19T18:25:49 | 2025-06-19T18:25:49 | {
"login": "TyTodd",
"id": 49127578,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
3,133,848,546 | 7,606 | Add `num_proc=` to `.push_to_hub()` (Dataset and IterableDataset) | null | closed | https://github.com/huggingface/datasets/pull/7606 | 2025-06-10T14:35:10 | 2025-06-11T16:47:28 | 2025-06-11T16:47:25 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,131,636,882 | 7,605 | Make `push_to_hub` atomic (#7600) | null | closed | https://github.com/huggingface/datasets/pull/7605 | 2025-06-09T22:29:38 | 2025-06-23T19:32:08 | 2025-06-23T19:32:08 | {
"login": "sharvil",
"id": 391004,
"type": "User"
} | [] | true | [] |
3,130,837,169 | 7,604 | Docs and more methods for IterableDataset: push_to_hub, to_parquet... | to_csv, to_json, to_sql, to_pandas, to_polars, to_dict, to_list | closed | https://github.com/huggingface/datasets/pull/7604 | 2025-06-09T16:44:40 | 2025-06-10T13:15:23 | 2025-06-10T13:15:21 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,130,394,563 | 7,603 | No TF in win tests | null | closed | https://github.com/huggingface/datasets/pull/7603 | 2025-06-09T13:56:34 | 2025-06-09T15:33:31 | 2025-06-09T15:33:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
3,128,758,924 | 7,602 | Enhance error handling and input validation across multiple modules | This PR improves the robustness and user experience by:
1. **Audio Module**:
- Added clear error messages when required fields ('path' or 'bytes') are missing in audio encoding
2. **DatasetDict**:
- Enhanced key access error messages to show available splits when an invalid key is accessed
3. **NonMuta... | open | https://github.com/huggingface/datasets/pull/7602 | 2025-06-08T23:01:06 | 2025-06-08T23:01:06 | null | {
"login": "mohiuddin-khan-shiam",
"id": 147746955,
"type": "User"
} | [] | true | [] |
3,127,296,182 | 7,600 | `push_to_hub` is not concurrency safe (dataset schema corruption) | ### Describe the bug
Concurrent processes modifying and pushing a dataset can overwrite each others' dataset card, leaving the dataset unusable.
Consider this scenario:
- we have an Arrow dataset
- there are `N` configs of the dataset
- there are `N` independent processes operating on each of the individual configs (... | closed | https://github.com/huggingface/datasets/issues/7600 | 2025-06-07T17:28:56 | 2025-06-23T19:36:37 | 2025-06-23T19:36:37 | {
"login": "sharvil",
"id": 391004,
"type": "User"
} | [] | false | [] |
3,125,620,119 | 7,599 | My already working dataset (when uploaded few months ago) now is ignoring metadata.jsonl | ### Describe the bug
Hi everyone, I uploaded my dataset https://huggingface.co/datasets/PRAIG/SMB a few months ago while I was waiting for a conference acceptance response. Without modifying anything in the dataset repository now the Dataset viewer is not rendering the metadata.jsonl annotations, neither it is being d... | closed | https://github.com/huggingface/datasets/issues/7599 | 2025-06-06T18:59:00 | 2025-06-16T15:18:00 | 2025-06-16T15:18:00 | {
"login": "JuanCarlosMartinezSevilla",
"id": 97530443,
"type": "User"
} | [] | false | [] |
3,125,184,457 | 7,598 | fix string_to_dict usage for windows | null | closed | https://github.com/huggingface/datasets/pull/7598 | 2025-06-06T15:54:29 | 2025-06-06T16:12:22 | 2025-06-06T16:12:21 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
End of preview. Expand in Data Studio
This dataset was created as part of Hugging Face Laern tutorial.
- Downloads last month
- 16