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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,845,184,764 | 7,391 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | pyarrow 尝试了若干个版本都不可以 | open | https://github.com/huggingface/datasets/issues/7391 | 2025-02-11T12:02:26 | 2025-02-11T12:02:26 | null | {
"login": "LinXin04",
"id": 25193686,
"type": "User"
} | [] | false | [] |
2,843,813,365 | 7,390 | Re-add py.typed | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | open | https://github.com/huggingface/datasets/issues/7390 | 2025-02-10T22:12:52 | 2025-02-10T22:12:52 | null | {
"login": "NeilGirdhar",
"id": 730137,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,843,592,606 | 7,389 | Getting statistics about filtered examples | @lhoestq wondering if the team has thought about this and if there are any recommendations?
Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | closed | https://github.com/huggingface/datasets/issues/7389 | 2025-02-10T20:48:29 | 2025-02-11T20:44:15 | 2025-02-11T20:44:13 | {
"login": "jonathanasdf",
"id": 511073,
"type": "User"
} | [] | false | [] |
2,843,188,499 | 7,388 | OSError: [Errno 22] Invalid argument forbidden character | ### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | closed | https://github.com/huggingface/datasets/issues/7388 | 2025-02-10T17:46:31 | 2025-02-11T13:42:32 | 2025-02-11T13:42:30 | {
"login": "langflogit",
"id": 124634542,
"type": "User"
} | [] | false | [] |
2,841,228,048 | 7,387 | Dynamic adjusting dataloader sampling weight | Hi,
Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | open | https://github.com/huggingface/datasets/issues/7387 | 2025-02-10T03:18:47 | 2025-03-07T14:06:54 | null | {
"login": "whc688",
"id": 72799643,
"type": "User"
} | [] | false | [] |
2,840,032,524 | 7,386 | Add bookfolder Dataset Builder for Digital Book Formats | ### Feature request
This feature proposes adding a new dataset builder called bookfolder to the datasets library. This builder would allow users to easily load datasets consisting of various digital book formats, including: AZW, AZW3, CB7, CBR, CBT, CBZ, EPUB, MOBI, and PDF.
### Motivation
Currently, loading dataset... | closed | https://github.com/huggingface/datasets/issues/7386 | 2025-02-08T14:27:55 | 2025-02-08T14:30:10 | 2025-02-08T14:30:09 | {
"login": "shikanime",
"id": 22115108,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,830,664,522 | 7,385 | Make IterableDataset (optionally) resumable | ### What does this PR do?
This PR introduces a new `stateful` option to the `dataset.shuffle` method, which defaults to `False`.
When enabled, this option allows for resumable shuffling of `IterableDataset` instances, albeit with some additional memory overhead.
Key points:
* All tests have passed
* Docstrings ... | open | https://github.com/huggingface/datasets/pull/7385 | 2025-02-04T15:55:33 | 2025-03-03T17:31:40 | null | {
"login": "yzhangcs",
"id": 18402347,
"type": "User"
} | [] | true | [] |
2,828,208,828 | 7,384 | Support async functions in map() | e.g. to download images or call an inference API like HF or vLLM
```python
import asyncio
import random
from datasets import Dataset
async def f(x):
await asyncio.sleep(random.random())
ds = Dataset.from_dict({"data": range(100)})
ds.map(f)
# Map: 100%|█████████████████████████████| 100/100 [00:0... | closed | https://github.com/huggingface/datasets/pull/7384 | 2025-02-03T18:18:40 | 2025-02-13T14:01:13 | 2025-02-13T14:00:06 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,823,480,924 | 7,382 | Add Pandas, PyArrow and Polars docs | (also added the missing numpy docs and fixed a small bug in pyarrow formatting) | closed | https://github.com/huggingface/datasets/pull/7382 | 2025-01-31T13:22:59 | 2025-01-31T16:30:59 | 2025-01-31T16:30:57 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,815,649,092 | 7,381 | Iterating over values of a column in the IterableDataset | ### Feature request
I would like to be able to iterate (and re-iterate if needed) over a column of an `IterableDataset` instance. The following example shows the supposed API:
```python
def gen():
yield {"text": "Good", "label": 0}
yield {"text": "Bad", "label": 1}
ds = IterableDataset.from_generator(gen)
tex... | closed | https://github.com/huggingface/datasets/issues/7381 | 2025-01-28T13:17:36 | 2025-05-22T18:00:04 | 2025-05-22T18:00:04 | {
"login": "TopCoder2K",
"id": 47208659,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,811,566,116 | 7,380 | fix: dill default for version bigger 0.3.8 | Fixes def log for dill version >= 0.3.9
https://pypi.org/project/dill/
This project uses dill with the release of version 0.3.9 the datasets lib. | closed | https://github.com/huggingface/datasets/pull/7380 | 2025-01-26T13:37:16 | 2025-03-13T20:40:19 | 2025-03-13T20:40:19 | {
"login": "sam-hey",
"id": 40773225,
"type": "User"
} | [] | true | [] |
2,802,957,388 | 7,378 | Allow pushing config version to hub | ### Feature request
Currently, when datasets are created, they can be versioned by passing the `version` argument to `load_dataset(...)`. For example creating `outcomes.csv` on the command line
```
echo "id,value\n1,0\n2,0\n3,1\n4,1\n" > outcomes.csv
```
and creating it
```
import datasets
dataset = datasets.load_dat... | open | https://github.com/huggingface/datasets/issues/7378 | 2025-01-21T22:35:07 | 2025-01-30T13:56:56 | null | {
"login": "momeara",
"id": 129072,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,802,723,285 | 7,377 | Support for sparse arrays with the Arrow Sparse Tensor format? | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | open | https://github.com/huggingface/datasets/issues/7377 | 2025-01-21T20:14:35 | 2025-01-30T14:06:45 | null | {
"login": "JulesGM",
"id": 3231217,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,802,621,104 | 7,376 | [docs] uv install | Proposes adding uv to installation docs (see Slack thread [here](https://huggingface.slack.com/archives/C01N44FJDHT/p1737377177709279) for more context) if you're interested! | closed | https://github.com/huggingface/datasets/pull/7376 | 2025-01-21T19:15:48 | 2025-03-14T20:16:35 | 2025-03-14T20:16:35 | {
"login": "stevhliu",
"id": 59462357,
"type": "User"
} | [] | true | [] |
2,800,609,218 | 7,375 | vllm批量推理报错 | ### Describe the bug
### Steps to reproduce the bug
### Expected behavior
![Image](https://github.com/user-attachments/assets/77d32936-... | open | https://github.com/huggingface/datasets/issues/7375 | 2025-01-21T03:22:23 | 2025-01-30T14:02:40 | null | {
"login": "YuShengzuishuai",
"id": 51228154,
"type": "User"
} | [] | false | [] |
2,793,442,320 | 7,374 | Remove .h5 from imagefolder extensions | the format is not relevant for imagefolder, and makes the viewer fail to process datasets on HF (so many that the viewer takes more time to process new datasets) | closed | https://github.com/huggingface/datasets/pull/7374 | 2025-01-16T18:17:24 | 2025-01-16T18:26:40 | 2025-01-16T18:26:38 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,793,237,139 | 7,373 | Excessive RAM Usage After Dataset Concatenation concatenate_datasets | ### Describe the bug
When loading a dataset from disk, concatenating it, and starting the training process, the RAM usage progressively increases until the kernel terminates the process due to excessive memory consumption.
https://github.com/huggingface/datasets/issues/2276
### Steps to reproduce the bug
```python
... | open | https://github.com/huggingface/datasets/issues/7373 | 2025-01-16T16:33:10 | 2025-03-27T17:40:59 | null | {
"login": "sam-hey",
"id": 40773225,
"type": "User"
} | [] | false | [] |
2,791,760,968 | 7,372 | Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets | ### Description
I encountered an inconsistency in behavior between `load_dataset` and `load_from_disk` when loading sharded datasets. Here is a minimal example to reproduce the issue:
#### Code 1: Using `load_dataset`
```python
from datasets import Dataset, load_dataset
# First save with max_shard_size=10
Dataset.fr... | open | https://github.com/huggingface/datasets/issues/7372 | 2025-01-16T05:47:20 | 2025-01-16T05:47:20 | null | {
"login": "gaohongkui",
"id": 38203359,
"type": "User"
} | [] | false | [] |
2,790,549,889 | 7,371 | 500 Server error with pushing a dataset | ### Describe the bug
Suddenly, I started getting this error message saying it was an internal error.
`Error creating/pushing dataset: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/ll4ma-lab/grasp-dataset/commit/main (Request ID: Root=1-6787f0b7-66d5bd45413e481c4c2fb22d;670d04ff-... | open | https://github.com/huggingface/datasets/issues/7371 | 2025-01-15T18:23:02 | 2025-01-15T20:06:05 | null | {
"login": "martinmatak",
"id": 7677814,
"type": "User"
} | [] | false | [] |
2,787,972,786 | 7,370 | Support faster processing using pandas or polars functions in `IterableDataset.map()` | Following the polars integration :)
Allow super fast processing using pandas or polars functions in `IterableDataset.map()` by adding support to pandas and polars formatting in `IterableDataset`
```python
import polars as pl
from datasets import Dataset
ds = Dataset.from_dict({"i": range(10)}).to_iterable_da... | closed | https://github.com/huggingface/datasets/pull/7370 | 2025-01-14T18:14:13 | 2025-01-31T11:08:15 | 2025-01-30T13:30:57 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,787,193,238 | 7,369 | Importing dataset gives unhelpful error message when filenames in metadata.csv are not found in the directory | ### Describe the bug
While importing an audiofolder dataset, where the names of the audiofiles don't correspond to the filenames in the metadata.csv, we get an unclear error message that is not helpful for the debugging, i.e.
```
ValueError: Instruction "train" corresponds to no data!
```
### Steps to reproduce the ... | open | https://github.com/huggingface/datasets/issues/7369 | 2025-01-14T13:53:21 | 2025-01-14T15:05:51 | null | {
"login": "svencornetsdegroot",
"id": 38278139,
"type": "User"
} | [] | false | [] |
2,784,272,477 | 7,368 | Add with_split to DatasetDict.map | #7356 | closed | https://github.com/huggingface/datasets/pull/7368 | 2025-01-13T15:09:56 | 2025-03-08T05:45:02 | 2025-03-07T14:09:52 | {
"login": "jp1924",
"id": 93233241,
"type": "User"
} | [] | true | [] |
2,781,522,894 | 7,366 | Dataset.from_dict() can't handle large dict | ### Describe the bug
I have 26,000,000 3-tuples. When I use Dataset.from_dict() to load, neither. py nor Jupiter notebook can run successfully. This is my code:
```
# len(example_data) is 26,000,000, 'diff' is a text
diff1_list = [example_data[i].texts[0] for i in range(len(example_data))]
diff2_list =... | open | https://github.com/huggingface/datasets/issues/7366 | 2025-01-11T02:05:21 | 2025-01-11T02:05:21 | null | {
"login": "CSU-OSS",
"id": 164967134,
"type": "User"
} | [] | false | [] |
2,780,216,199 | 7,365 | A parameter is specified but not used in datasets.arrow_dataset.Dataset.from_pandas() | ### Describe the bug
I am interested in creating train, test and eval splits from a pandas Dataframe, therefore I was looking at the possibilities I can follow. I noticed the split parameter and was hopeful to use it in order to generate the 3 at once, however, while trying to understand the code, i noticed that it ha... | open | https://github.com/huggingface/datasets/issues/7365 | 2025-01-10T13:39:33 | 2025-01-10T13:39:33 | null | {
"login": "NourOM02",
"id": 69003192,
"type": "User"
} | [] | false | [] |
2,776,929,268 | 7,364 | API endpoints for gated dataset access requests | ### Feature request
I would like a programatic way of requesting access to gated datasets. The current solution to gain access forces me to visit a website and physically click an "agreement" button (as per the [documentation](https://huggingface.co/docs/hub/en/datasets-gated#access-gated-datasets-as-a-user)).
An i... | closed | https://github.com/huggingface/datasets/issues/7364 | 2025-01-09T06:21:20 | 2025-01-09T11:17:40 | 2025-01-09T11:17:20 | {
"login": "jerome-white",
"id": 6140840,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,774,090,012 | 7,363 | ImportError: To support decoding images, please install 'Pillow'. | ### Describe the bug
Following this tutorial locally using a macboko and VSCode: https://huggingface.co/docs/diffusers/en/tutorials/basic_training
This line of code: for i, image in enumerate(dataset[:4]["image"]):
throws: ImportError: To support decoding images, please install 'Pillow'.
Pillow is installed.
###... | open | https://github.com/huggingface/datasets/issues/7363 | 2025-01-08T02:22:57 | 2025-05-28T14:56:53 | null | {
"login": "jamessdixon",
"id": 1394644,
"type": "User"
} | [] | false | [] |
2,773,731,829 | 7,362 | HuggingFace CLI dataset download raises error | ### Describe the bug
Trying to download Hugging Face datasets using Hugging Face CLI raises error. This error only started after December 27th, 2024. For example:
```
huggingface-cli download --repo-type dataset gboleda/wikicorpus
Traceback (most recent call last):
File "/home/ubuntu/test_venv/bin/huggingface... | closed | https://github.com/huggingface/datasets/issues/7362 | 2025-01-07T21:03:30 | 2025-01-08T15:00:37 | 2025-01-08T14:35:52 | {
"login": "ajayvohra2005",
"id": 3870355,
"type": "User"
} | [] | false | [] |
2,771,859,244 | 7,361 | Fix lock permission | All files except lock file have proper permission obeying `ACL` property if it is set.
If the cache directory has `ACL` property, it should be respected instead of just using `umask` for permission.
To fix it, just create a lock file and pass the created `mode`.
By creating a lock file with `touch()` before `Fil... | open | https://github.com/huggingface/datasets/pull/7361 | 2025-01-07T04:15:53 | 2025-01-07T04:49:46 | null | {
"login": "cih9088",
"id": 11530592,
"type": "User"
} | [] | true | [] |
2,771,751,406 | 7,360 | error when loading dataset in Hugging Face: NoneType error is not callable | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | open | https://github.com/huggingface/datasets/issues/7360 | 2025-01-07T02:11:36 | 2025-02-24T13:32:52 | null | {
"login": "nanu23333",
"id": 189343338,
"type": "User"
} | [] | false | [] |
2,771,137,842 | 7,359 | There are multiple 'mteb/arguana' configurations in the cache: default, corpus, queries with HF_HUB_OFFLINE=1 | ### Describe the bug
Hey folks,
I am trying to run this code -
```python
from datasets import load_dataset, get_dataset_config_names
ds = load_dataset("mteb/arguana")
```
with HF_HUB_OFFLINE=1
But I get the following error -
```python
Using the latest cached version of the dataset since mteb/arguana... | open | https://github.com/huggingface/datasets/issues/7359 | 2025-01-06T17:42:49 | 2025-01-06T17:43:31 | null | {
"login": "Bhavya6187",
"id": 723146,
"type": "User"
} | [] | false | [] |
2,770,927,769 | 7,358 | Fix remove_columns in the formatted case | `remove_columns` had no effect when running a function in `.map()` on dataset that is formatted
This aligns the logic of `map()` with the non formatted case and also with with https://github.com/huggingface/datasets/pull/7353 | open | https://github.com/huggingface/datasets/pull/7358 | 2025-01-06T15:44:23 | 2025-01-06T15:46:46 | null | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,770,456,127 | 7,357 | Python process aborded with GIL issue when using image dataset | ### Describe the bug
The issue is visible only with the latest `datasets==3.2.0`.
When using image dataset the Python process gets aborted right before the exit with the following error:
```
Fatal Python error: PyGILState_Release: thread state 0x7fa1f409ade0 must be current when releasing
Python runtime state: f... | open | https://github.com/huggingface/datasets/issues/7357 | 2025-01-06T11:29:30 | 2025-03-08T15:59:36 | null | {
"login": "AlexKoff88",
"id": 25342812,
"type": "User"
} | [] | false | [] |
2,770,095,103 | 7,356 | How about adding a feature to pass the key when performing map on DatasetDict? | ### Feature request
Add a feature to pass the key of the DatasetDict when performing map
### Motivation
I often preprocess using map on DatasetDict.
Sometimes, I need to preprocess train and valid data differently depending on the task.
So, I thought it would be nice to pass the key (like train, valid) when perf... | closed | https://github.com/huggingface/datasets/issues/7356 | 2025-01-06T08:13:52 | 2025-03-24T10:57:47 | 2025-03-24T10:57:47 | {
"login": "jp1924",
"id": 93233241,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,768,958,211 | 7,355 | Not available datasets[audio] on python 3.13 | ### Describe the bug
This is the error I got, it seems numba package does not support python 3.13
PS C:\Users\sergi\Documents> pip install datasets[audio]
Defaulting to user installation because normal site-packages is not writeable
Collecting datasets[audio]
Using cached datasets-3.2.0-py3-none-any.whl.metada... | open | https://github.com/huggingface/datasets/issues/7355 | 2025-01-04T18:37:08 | 2025-06-28T00:26:19 | null | {
"login": "sergiosinlimites",
"id": 70306948,
"type": "User"
} | [] | false | [] |
2,768,955,917 | 7,354 | A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. | ### Describe the bug
Following this tutorial: https://huggingface.co/docs/diffusers/en/tutorials/basic_training and running it locally using VSCode on my MacBook. The first line in the tutorial fails: from datasets import load_dataset
dataset = load_dataset('huggan/smithsonian_butterflies_subset', split="train"). w... | closed | https://github.com/huggingface/datasets/issues/7354 | 2025-01-04T18:30:17 | 2025-01-08T02:20:58 | 2025-01-08T02:20:58 | {
"login": "jamessdixon",
"id": 1394644,
"type": "User"
} | [] | false | [] |
2,768,484,726 | 7,353 | changes to MappedExamplesIterable to resolve #7345 | modified `MappedExamplesIterable` and `test_iterable_dataset.py::test_mapped_examples_iterable_with_indices`
fix #7345
@lhoestq | closed | https://github.com/huggingface/datasets/pull/7353 | 2025-01-04T06:01:15 | 2025-01-07T11:56:41 | 2025-01-07T11:56:41 | {
"login": "vttrifonov",
"id": 12157034,
"type": "User"
} | [] | true | [] |
2,767,763,850 | 7,352 | fsspec 2024.12.0 | null | closed | https://github.com/huggingface/datasets/pull/7352 | 2025-01-03T15:32:25 | 2025-01-03T15:34:54 | 2025-01-03T15:34:11 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,767,731,707 | 7,350 | Bump hfh to 0.24 to fix ci | null | closed | https://github.com/huggingface/datasets/pull/7350 | 2025-01-03T15:09:40 | 2025-01-03T15:12:17 | 2025-01-03T15:10:27 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,767,670,454 | 7,349 | Webdataset special columns in last position | Place columns "__key__" and "__url__" in last position in the Dataset Viewer since they are not the main content
before:
<img width="1012" alt="image" src="https://github.com/user-attachments/assets/b556c1fe-2674-4ba0-9643-c074aa9716fd" />
| closed | https://github.com/huggingface/datasets/pull/7349 | 2025-01-03T14:32:15 | 2025-01-03T14:34:39 | 2025-01-03T14:32:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,766,128,230 | 7,348 | Catch OSError for arrow | fixes https://github.com/huggingface/datasets/issues/7346
(also updated `ruff` and appleid style changes) | closed | https://github.com/huggingface/datasets/pull/7348 | 2025-01-02T14:30:00 | 2025-01-09T14:25:06 | 2025-01-09T14:25:04 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,760,282,339 | 7,347 | Converting Arrow to WebDataset TAR Format for Offline Use | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | closed | https://github.com/huggingface/datasets/issues/7347 | 2024-12-27T01:40:44 | 2024-12-31T17:38:00 | 2024-12-28T15:38:03 | {
"login": "katie312",
"id": 91370128,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,758,752,118 | 7,346 | OSError: Invalid flatbuffers message. | ### Describe the bug
When loading a large 2D data (1000 × 1152) with a large number of (2,000 data in this case) in `load_dataset`, the error message `OSError: Invalid flatbuffers message` is reported.
When only 300 pieces of data of this size (1000 × 1152) are stored, they can be loaded correctly.
When 2,00... | closed | https://github.com/huggingface/datasets/issues/7346 | 2024-12-25T11:38:52 | 2025-01-09T14:25:29 | 2025-01-09T14:25:05 | {
"login": "antecede",
"id": 46232487,
"type": "User"
} | [] | false | [] |
2,758,585,709 | 7,345 | Different behaviour of IterableDataset.map vs Dataset.map with remove_columns | ### Describe the bug
The following code
```python
import datasets as hf
ds1 = hf.Dataset.from_list([{'i': i} for i in [0,1]])
#ds1 = ds1.to_iterable_dataset()
ds2 = ds1.map(
lambda i: {'i': i+1},
input_columns = ['i'],
remove_columns = ['i']
)
list(ds2)
```
produces
```python
[{'i': ... | closed | https://github.com/huggingface/datasets/issues/7345 | 2024-12-25T07:36:48 | 2025-01-07T11:56:42 | 2025-01-07T11:56:42 | {
"login": "vttrifonov",
"id": 12157034,
"type": "User"
} | [] | false | [] |
2,754,735,951 | 7,344 | HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access SlimPajama-627B or c4 on TPUs | ### Describe the bug
I am trying to run some trainings on Google's TPUs using Huggingface's DataLoader on [SlimPajama-627B](https://huggingface.co/datasets/cerebras/SlimPajama-627B) and [c4](https://huggingface.co/datasets/allenai/c4), but I end up running into `429 Client Error: Too Many Requests for URL` error when ... | closed | https://github.com/huggingface/datasets/issues/7344 | 2024-12-22T16:30:07 | 2025-01-15T05:32:00 | 2025-01-15T05:31:58 | {
"login": "clankur",
"id": 9397233,
"type": "User"
} | [] | false | [] |
2,750,525,823 | 7,343 | [Bug] Inconsistent behavior of data_files and data_dir in load_dataset method. | ### Describe the bug
Inconsistent operation of data_files and data_dir in load_dataset method.
### Steps to reproduce the bug
# First
I have three files, named 'train.json', 'val.json', 'test.json'.
Each one has a simple dict `{text:'aaa'}`.
Their path are `/data/train.json`, `/data/val.json`, `/data/test.jso... | closed | https://github.com/huggingface/datasets/issues/7343 | 2024-12-19T14:31:27 | 2025-01-03T15:54:09 | 2025-01-03T15:54:09 | {
"login": "JasonCZH4",
"id": 74161960,
"type": "User"
} | [] | false | [] |
2,749,572,310 | 7,342 | Update LICENSE | null | closed | https://github.com/huggingface/datasets/pull/7342 | 2024-12-19T08:17:50 | 2024-12-19T08:44:08 | 2024-12-19T08:44:08 | {
"login": "eliebak",
"id": 97572401,
"type": "User"
} | [] | true | [] |
2,745,658,561 | 7,341 | minor video docs on how to install | null | closed | https://github.com/huggingface/datasets/pull/7341 | 2024-12-17T18:06:17 | 2024-12-17T18:11:17 | 2024-12-17T18:11:15 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,745,473,274 | 7,340 | don't import soundfile in tests | null | closed | https://github.com/huggingface/datasets/pull/7340 | 2024-12-17T16:49:55 | 2024-12-17T16:54:04 | 2024-12-17T16:50:24 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,745,460,060 | 7,339 | Update CONTRIBUTING.md | null | closed | https://github.com/huggingface/datasets/pull/7339 | 2024-12-17T16:45:25 | 2024-12-17T16:51:36 | 2024-12-17T16:46:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,744,877,569 | 7,337 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory of | ### Describe the bug
ImageFolder with metadata.jsonl error. I downloaded liuhaotian/LLaVA-CC3M-Pretrain-595K locally from Hugging Face. According to the tutorial in https://huggingface.co/docs/datasets/image_dataset#image-captioning, only put images.zip and metadata.jsonl containing information in the same folder. How... | open | https://github.com/huggingface/datasets/issues/7337 | 2024-12-17T12:58:43 | 2025-01-03T15:28:13 | null | {
"login": "mst272",
"id": 67250532,
"type": "User"
} | [] | false | [] |
2,744,746,456 | 7,336 | Clarify documentation or Create DatasetCard | ### Feature request
I noticed that you can use a Model Card instead of a Dataset Card when pushing a dataset to the Hub, but this isn’t clearly mentioned in [the docs.](https://huggingface.co/docs/datasets/dataset_card)
- Update the docs to clarify that a Model Card can work for datasets too.
- It might be worth c... | open | https://github.com/huggingface/datasets/issues/7336 | 2024-12-17T12:01:00 | 2024-12-17T12:01:00 | null | {
"login": "August-murr",
"id": 145011209,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,743,437,260 | 7,335 | Too many open files: '/root/.cache/huggingface/token' | ### Describe the bug
I ran this code:
```
from datasets import load_dataset
dataset = load_dataset("common-canvas/commoncatalog-cc-by", cache_dir="/datadrive/datasets/cc", num_proc=1000)
```
And got this error.
Before it was some other file though (lie something...incomplete)
runnting
```
ulimit -n 8192
... | open | https://github.com/huggingface/datasets/issues/7335 | 2024-12-16T21:30:24 | 2024-12-16T21:30:24 | null | {
"login": "kopyl",
"id": 17604849,
"type": "User"
} | [] | false | [] |
2,740,266,503 | 7,334 | TypeError: Value.__init__() missing 1 required positional argument: 'dtype' | ### Describe the bug
ds = load_dataset(
"./xxx.py",
name="default",
split="train",
)
The datasets does not support debugging locally anymore...
### Steps to reproduce the bug
```
from datasets import load_dataset
ds = load_dataset(
"./repo.py",
name="default",
split="train",
)
... | open | https://github.com/huggingface/datasets/issues/7334 | 2024-12-15T04:08:46 | 2025-07-10T03:32:36 | null | {
"login": "ghost",
"id": 10137,
"type": "User"
} | [] | false | [] |
2,738,626,593 | 7,328 | Fix typo in arrow_dataset | null | closed | https://github.com/huggingface/datasets/pull/7328 | 2024-12-13T15:17:09 | 2024-12-19T17:10:27 | 2024-12-19T17:10:25 | {
"login": "AndreaFrancis",
"id": 5564745,
"type": "User"
} | [] | true | [] |
2,738,514,909 | 7,327 | .map() is not caching and ram goes OOM | ### Describe the bug
Im trying to run a fairly simple map that is converting a dataset into numpy arrays. however, it just piles up on memory and doesnt write to disk. Ive tried multiple cache techniques such as specifying the cache dir, setting max mem, +++ but none seem to work. What am I missing here?
### Steps to... | open | https://github.com/huggingface/datasets/issues/7327 | 2024-12-13T14:22:56 | 2025-02-10T10:42:38 | null | {
"login": "simeneide",
"id": 7136076,
"type": "User"
} | [] | false | [] |
2,738,188,902 | 7,326 | Remove upper bound for fsspec | ### Describe the bug
As also raised by @cyyever in https://github.com/huggingface/datasets/pull/7296 and @NeilGirdhar in https://github.com/huggingface/datasets/commit/d5468836fe94e8be1ae093397dd43d4a2503b926#commitcomment-140952162 , `datasets` has a problematic version constraint on `fsspec`.
In our case this c... | open | https://github.com/huggingface/datasets/issues/7326 | 2024-12-13T11:35:12 | 2025-01-03T15:34:37 | null | {
"login": "fellhorn",
"id": 26092524,
"type": "User"
} | [] | false | [] |
2,736,618,054 | 7,325 | Introduce pdf support (#7318) | First implementation of the Pdf feature to support pdfs (#7318) . Using [pdfplumber](https://github.com/jsvine/pdfplumber?tab=readme-ov-file#python-library) as the default library to work with pdfs.
@lhoestq and @AndreaFrancis | closed | https://github.com/huggingface/datasets/pull/7325 | 2024-12-12T18:31:18 | 2025-03-18T14:00:36 | 2025-03-18T14:00:36 | {
"login": "yabramuvdi",
"id": 4812761,
"type": "User"
} | [] | true | [] |
2,736,008,698 | 7,323 | Unexpected cache behaviour using load_dataset | ### Describe the bug
Following the (Cache management)[https://huggingface.co/docs/datasets/en/cache] docu and previous behaviour from datasets version 2.18.0, one is able to change the cache directory. Previously, all downloaded/extracted/etc files were found in this folder. As i have recently update to the latest v... | closed | https://github.com/huggingface/datasets/issues/7323 | 2024-12-12T14:03:00 | 2025-01-31T11:34:24 | 2025-01-31T11:34:24 | {
"login": "Moritz-Wirth",
"id": 74349080,
"type": "User"
} | [] | false | [] |
2,732,254,868 | 7,322 | ArrowInvalid: JSON parse error: Column() changed from object to array in row 0 | ### Describe the bug
Encountering an error while loading the ```liuhaotian/LLaVA-Instruct-150K dataset```.
### Steps to reproduce the bug
```
from datasets import load_dataset
fw =load_dataset("liuhaotian/LLaVA-Instruct-150K")
```
Error:
```
ArrowInvalid Traceback (most recen... | open | https://github.com/huggingface/datasets/issues/7322 | 2024-12-11T08:41:39 | 2025-07-15T13:06:55 | null | {
"login": "Polarisamoon",
"id": 41767521,
"type": "User"
} | [] | false | [] |
2,731,626,760 | 7,321 | ImportError: cannot import name 'set_caching_enabled' from 'datasets' | ### Describe the bug
Traceback (most recent call last):
File "/usr/local/lib/python3.10/runpy.py", line 187, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/usr/local/lib/python3.10/runpy.py", line 110, in _get_module_details
__import__(pkg_name)
File "... | open | https://github.com/huggingface/datasets/issues/7321 | 2024-12-11T01:58:46 | 2024-12-11T13:32:15 | null | {
"login": "sankexin",
"id": 33318353,
"type": "User"
} | [] | false | [] |
2,731,112,100 | 7,320 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['label'] | ### Describe the bug
I am trying to create a PEFT model from DISTILBERT model, and run a training loop. However, the trainer.train() is giving me this error: ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['label']
Here is my code:
### St... | closed | https://github.com/huggingface/datasets/issues/7320 | 2024-12-10T20:23:11 | 2024-12-10T23:22:23 | 2024-12-10T23:22:23 | {
"login": "atrompeterog",
"id": 38381084,
"type": "User"
} | [] | false | [] |
2,730,679,980 | 7,319 | set dev version | null | closed | https://github.com/huggingface/datasets/pull/7319 | 2024-12-10T17:01:34 | 2024-12-10T17:04:04 | 2024-12-10T17:01:45 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,730,676,278 | 7,318 | Introduce support for PDFs | ### Feature request
The idea (discussed in the Discord server with @lhoestq ) is to have a Pdf type like Image/Audio/Video. For example [Video](https://github.com/huggingface/datasets/blob/main/src/datasets/features/video.py) was recently added and contains how to decode a video file encoded in a dictionary like {"pat... | open | https://github.com/huggingface/datasets/issues/7318 | 2024-12-10T16:59:48 | 2024-12-12T18:38:13 | null | {
"login": "yabramuvdi",
"id": 4812761,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,730,661,237 | 7,317 | Release: 3.2.0 | null | closed | https://github.com/huggingface/datasets/pull/7317 | 2024-12-10T16:53:20 | 2024-12-10T16:56:58 | 2024-12-10T16:56:56 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,730,196,085 | 7,316 | More docs to from_dict to mention that the result lives in RAM | following discussions at https://discuss.huggingface.co/t/how-to-load-this-simple-audio-data-set-and-use-dataset-map-without-memory-issues/17722/14 | closed | https://github.com/huggingface/datasets/pull/7316 | 2024-12-10T13:56:01 | 2024-12-10T13:58:32 | 2024-12-10T13:57:02 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,727,502,630 | 7,314 | Resolved for empty datafiles | Resolved for Issue#6152 | open | https://github.com/huggingface/datasets/pull/7314 | 2024-12-09T15:47:22 | 2024-12-27T18:20:21 | null | {
"login": "sahillihas",
"id": 20582290,
"type": "User"
} | [] | true | [] |
2,726,240,634 | 7,313 | Cannot create a dataset with relative audio path | ### Describe the bug
Hello! I want to create a dataset of parquet files, with audios stored as separate .mp3 files. However, it says "No such file or directory" (see the reproducing code).
### Steps to reproduce the bug
Creating a dataset
```
from pathlib import Path
from datasets import Dataset, load_datas... | open | https://github.com/huggingface/datasets/issues/7313 | 2024-12-09T07:34:20 | 2025-04-19T07:13:08 | null | {
"login": "sedol1339",
"id": 5188731,
"type": "User"
} | [] | false | [] |
2,725,103,094 | 7,312 | [Audio Features - DO NOT MERGE] PoC for adding an offset+sliced reading to audio file. | This is a proof of concept for #7310 . The idea is to enable the access to others column of the dataset row when loading an audio file into a table. This is to allow sliced reading. As stated in the issue, many people have very long audio files and use start and stop slicing in this audio file.
Right now, this code ... | open | https://github.com/huggingface/datasets/pull/7312 | 2024-12-08T10:27:31 | 2024-12-08T10:27:31 | null | {
"login": "TParcollet",
"id": 11910731,
"type": "User"
} | [] | true | [] |
2,725,002,630 | 7,311 | How to get the original dataset name with username? | ### Feature request
The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now is to get the dataset name, config and split, then `... | open | https://github.com/huggingface/datasets/issues/7311 | 2024-12-08T07:18:14 | 2025-01-09T10:48:02 | null | {
"login": "npuichigo",
"id": 11533479,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,724,830,603 | 7,310 | Enable the Audio Feature to decode / read with an offset + duration | ### Feature request
For most large speech dataset, we do not wish to generate hundreds of millions of small audio samples. Instead, it is quite common to provide larger audio files with frame offset (soundfile start and stop arguments). We should be able to pass these arguments to Audio() (column ID corresponding in t... | open | https://github.com/huggingface/datasets/issues/7310 | 2024-12-07T22:01:44 | 2024-12-09T21:09:46 | null | {
"login": "TParcollet",
"id": 11910731,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,729,738,963 | 7,315 | Allow manual configuration of Dataset Viewer for datasets not created with the `datasets` library | #### **Problem Description**
Currently, the Hugging Face Dataset Viewer automatically interprets dataset fields for datasets created with the `datasets` library. However, for datasets pushed directly via `git`, the Viewer:
- Defaults to generic columns like `label` with `null` values if no explicit mapping is provide... | open | https://github.com/huggingface/datasets/issues/7315 | 2024-12-07T16:37:12 | 2024-12-11T11:05:22 | null | {
"login": "diarray-hub",
"id": 114512099,
"type": "User"
} | [] | false | [] |
2,723,636,931 | 7,309 | Faster parquet streaming + filters with predicate pushdown | ParquetFragment.to_batches uses a buffered stream to read parquet data, which makes streaming faster (x2 on my laptop).
I also added the `filters` config parameter to support filtering with predicate pushdown, e.g.
```python
from datasets import load_dataset
filters = [('problem_source', '==', 'math')]
ds = ... | closed | https://github.com/huggingface/datasets/pull/7309 | 2024-12-06T18:01:54 | 2024-12-07T23:32:30 | 2024-12-07T23:32:28 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,720,244,889 | 7,307 | refactor: remove unnecessary else | null | open | https://github.com/huggingface/datasets/pull/7307 | 2024-12-05T12:11:09 | 2024-12-06T15:11:33 | null | {
"login": "HarikrishnanBalagopal",
"id": 20921177,
"type": "User"
} | [] | true | [] |
2,719,807,464 | 7,306 | Creating new dataset from list loses information. (Audio Information Lost - either Datatype or Values). | ### Describe the bug
When creating a dataset from a list of datapoints, information is lost of the individual items.
Specifically, when creating a dataset from a list of datapoints (from another dataset). Either the datatype is lost or the values are lost. See examples below.
-> What is the best way to create... | open | https://github.com/huggingface/datasets/issues/7306 | 2024-12-05T09:07:53 | 2024-12-05T09:09:38 | null | {
"login": "ai-nikolai",
"id": 9797804,
"type": "User"
} | [] | false | [] |
2,715,907,267 | 7,305 | Build Documentation Test Fails Due to "Bad Credentials" Error | ### Describe the bug
The `Build documentation / build / build_main_documentation (push)` job is consistently failing during the "Syncing repository" step. The error occurs when attempting to determine the default branch name, resulting in "Bad credentials" errors.
### Steps to reproduce the bug
1. Trigger the `build... | open | https://github.com/huggingface/datasets/issues/7305 | 2024-12-03T20:22:54 | 2025-01-08T22:38:14 | null | {
"login": "ruidazeng",
"id": 31152346,
"type": "User"
} | [] | false | [] |
2,715,179,811 | 7,304 | Update iterable_dataset.py | close https://github.com/huggingface/datasets/issues/7297 | closed | https://github.com/huggingface/datasets/pull/7304 | 2024-12-03T14:25:42 | 2024-12-03T14:28:10 | 2024-12-03T14:27:02 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,705,729,696 | 7,303 | DataFilesNotFoundError for datasets LM1B | ### Describe the bug
Cannot load the dataset https://huggingface.co/datasets/billion-word-benchmark/lm1b
### Steps to reproduce the bug
`dataset = datasets.load_dataset('lm1b', split=split)`
### Expected behavior
`Traceback (most recent call last):
File "/home/hml/projects/DeepLearning/Generative_model/Diffusio... | closed | https://github.com/huggingface/datasets/issues/7303 | 2024-11-29T17:27:45 | 2024-12-11T13:22:47 | 2024-12-11T13:22:47 | {
"login": "hml1996-fight",
"id": 72264324,
"type": "User"
} | [] | false | [] |
2,702,626,386 | 7,302 | Let server decide default repo visibility | Until now, all repos were public by default when created without passing the `private` argument. This meant that passing `private=False` or `private=None` was strictly the same. This is not the case anymore. Enterprise Hub offers organizations to set a default visibility setting for new repos. This is useful for organi... | closed | https://github.com/huggingface/datasets/pull/7302 | 2024-11-28T16:01:13 | 2024-11-29T17:00:40 | 2024-11-29T17:00:38 | {
"login": "Wauplin",
"id": 11801849,
"type": "User"
} | [] | true | [] |
2,701,813,922 | 7,301 | update load_dataset doctring | - remove canonical dataset name
- remove dataset script logic
- add streaming info
- clearer download and prepare steps | closed | https://github.com/huggingface/datasets/pull/7301 | 2024-11-28T11:19:20 | 2024-11-29T10:31:43 | 2024-11-29T10:31:40 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,701,424,320 | 7,300 | fix: update elasticsearch version | This should fix the `test_py311 (windows latest, deps-latest` errors.
```
=========================== short test summary info ===========================
ERROR tests/test_search.py - AttributeError: `np.float_` was removed in the NumPy 2.0 release. Use `np.float64` instead.
ERROR tests/test_search.py - AttributeE... | closed | https://github.com/huggingface/datasets/pull/7300 | 2024-11-28T09:14:21 | 2024-12-03T14:36:56 | 2024-12-03T14:24:42 | {
"login": "ruidazeng",
"id": 31152346,
"type": "User"
} | [] | true | [] |
2,695,378,251 | 7,299 | Efficient Image Augmentation in Hugging Face Datasets | ### Describe the bug
I'm using the Hugging Face datasets library to load images in batch and would like to apply a torchvision transform to solve the inconsistent image sizes in the dataset and apply some on the fly image augmentation. I can just think about using the collate_fn, but seems quite inefficient.
... | open | https://github.com/huggingface/datasets/issues/7299 | 2024-11-26T16:50:32 | 2024-11-26T16:53:53 | null | {
"login": "fabiozappo",
"id": 46443190,
"type": "User"
} | [] | false | [] |
2,694,196,968 | 7,298 | loading dataset issue with load_dataset() when training controlnet | ### Describe the bug
i'm unable to load my dataset for [controlnet training](https://github.com/huggingface/diffusers/blob/074e12358bc17e7dbe111ea4f62f05dbae8a49d5/examples/controlnet/train_controlnet.py#L606) using load_dataset(). however, load_from_disk() seems to work?
would appreciate if someone can explain why ... | open | https://github.com/huggingface/datasets/issues/7298 | 2024-11-26T10:50:18 | 2024-11-26T10:50:18 | null | {
"login": "sarahahtee",
"id": 81594044,
"type": "User"
} | [] | false | [] |
2,683,977,430 | 7,297 | wrong return type for `IterableDataset.shard()` | ### Describe the bug
`IterableDataset.shard()` has the wrong typing for its return as `"Dataset"`. It should be `"IterableDataset"`. Makes my IDE unhappy.
### Steps to reproduce the bug
look at [the source code](https://github.com/huggingface/datasets/blob/main/src/datasets/iterable_dataset.py#L2668)?
### Expected ... | closed | https://github.com/huggingface/datasets/issues/7297 | 2024-11-22T17:25:46 | 2024-12-03T14:27:27 | 2024-12-03T14:27:03 | {
"login": "ysngshn",
"id": 47225236,
"type": "User"
} | [] | false | [] |
2,675,573,974 | 7,296 | Remove upper version limit of fsspec[http] | null | closed | https://github.com/huggingface/datasets/pull/7296 | 2024-11-20T11:29:16 | 2025-03-06T04:47:04 | 2025-03-06T04:47:01 | {
"login": "cyyever",
"id": 17618148,
"type": "User"
} | [] | true | [] |
2,672,003,384 | 7,295 | [BUG]: Streaming from S3 triggers `unexpected keyword argument 'requote_redirect_url'` | ### Describe the bug
Note that this bug is only triggered when `streaming=True`. #5459 introduced always calling fsspec with `client_kwargs={"requote_redirect_url": False}`, which seems to have incompatibility issues even in the newest versions.
Analysis of what's happening:
1. `datasets` passes the `client_kw... | open | https://github.com/huggingface/datasets/issues/7295 | 2024-11-19T12:23:36 | 2024-11-19T13:01:53 | null | {
"login": "casper-hansen",
"id": 27340033,
"type": "User"
} | [] | false | [] |
2,668,663,130 | 7,294 | Remove `aiohttp` from direct dependencies | The dependency is only used for catching an exception from other code. That can be done with an import guard.
| closed | https://github.com/huggingface/datasets/pull/7294 | 2024-11-18T14:00:59 | 2025-05-07T14:27:18 | 2025-05-07T14:27:17 | {
"login": "akx",
"id": 58669,
"type": "User"
} | [] | true | [] |
2,664,592,054 | 7,293 | Updated inconsistent output in documentation examples for `ClassLabel` | fix #7129
@stevhliu | closed | https://github.com/huggingface/datasets/pull/7293 | 2024-11-16T16:20:57 | 2024-12-06T11:33:33 | 2024-12-06T11:32:01 | {
"login": "sergiopaniego",
"id": 17179696,
"type": "User"
} | [] | true | [] |
2,664,250,855 | 7,292 | DataFilesNotFoundError for datasets `OpenMol/PubChemSFT` | ### Describe the bug
Cannot load the dataset https://huggingface.co/datasets/OpenMol/PubChemSFT
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('OpenMol/PubChemSFT')
```
### Expected behavior
```
-----------------------------------------------------------------------... | closed | https://github.com/huggingface/datasets/issues/7292 | 2024-11-16T11:54:31 | 2024-11-19T00:53:00 | 2024-11-19T00:52:59 | {
"login": "xnuohz",
"id": 17878022,
"type": "User"
} | [] | false | [] |
2,662,244,643 | 7,291 | Why return_tensors='pt' doesn't work？ | ### Describe the bug
I tried to add input_ids to dataset with map(), and I used the return_tensors='pt', but why I got the callback with the type of List？
### Steps to reproduce the bug
![image](https://github.com/user-attac... | open | https://github.com/huggingface/datasets/issues/7291 | 2024-11-15T15:01:23 | 2024-11-18T13:47:08 | null | {
"login": "bw-wang19",
"id": 86752851,
"type": "User"
} | [] | false | [] |
2,657,620,816 | 7,290 | `Dataset.save_to_disk` hangs when using num_proc > 1 | ### Describe the bug
Hi, I'm encountered a small issue when saving datasets that led to the saving taking up to multiple hours.
Specifically, [`Dataset.save_to_disk`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.save_to_disk) is a lot slower when using `num_proc>1` than... | open | https://github.com/huggingface/datasets/issues/7290 | 2024-11-14T05:25:13 | 2025-06-27T00:56:47 | null | {
"login": "JohannesAck",
"id": 22243463,
"type": "User"
} | [] | false | [] |
2,648,019,507 | 7,289 | Dataset viewer displays wrong statists | ### Describe the bug
In [my dataset](https://huggingface.co/datasets/speedcell4/opus-unigram2), there is a column called `lang2`, and there are 94 different classes in total, but the viewer says there are 83 values only. This issue only arises in the `train` split. The total number of values is also 94 in the `test`... | closed | https://github.com/huggingface/datasets/issues/7289 | 2024-11-11T03:29:27 | 2024-11-13T13:02:25 | 2024-11-13T13:02:25 | {
"login": "speedcell4",
"id": 3585459,
"type": "User"
} | [] | false | [] |
2,647,052,280 | 7,288 | Release v3.1.1 | null | closed | https://github.com/huggingface/datasets/pull/7288 | 2024-11-10T09:38:15 | 2024-11-10T09:38:48 | 2024-11-10T09:38:48 | {
"login": "alex-hh",
"id": 5719745,
"type": "User"
} | [] | true | [] |
2,646,958,393 | 7,287 | Support for identifier-based automated split construction | ### Feature request
As far as I understand, automated construction of splits for hub datasets is currently based on either file names or directory structure ([as described here](https://huggingface.co/docs/datasets/en/repository_structure))
It would seem to be pretty useful to also allow splits to be based on ide... | open | https://github.com/huggingface/datasets/issues/7287 | 2024-11-10T07:45:19 | 2024-11-19T14:37:02 | null | {
"login": "alex-hh",
"id": 5719745,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,645,350,151 | 7,286 | Concurrent loading in `load_from_disk` - `num_proc` as a param | ### Feature request
https://github.com/huggingface/datasets/pull/6464 mentions a `num_proc` param while loading dataset from disk, but can't find that in the documentation and code anywhere
### Motivation
Make loading large datasets from disk faster
### Your contribution
Happy to contribute if given pointers | closed | https://github.com/huggingface/datasets/issues/7286 | 2024-11-08T23:21:40 | 2024-11-09T16:14:37 | 2024-11-09T16:14:37 | {
"login": "unography",
"id": 5240449,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,644,488,598 | 7,285 | Release v3.1.0 | null | closed | https://github.com/huggingface/datasets/pull/7285 | 2024-11-08T16:17:58 | 2024-11-08T16:18:05 | 2024-11-08T16:18:05 | {
"login": "alex-hh",
"id": 5719745,
"type": "User"
} | [] | true | [] |
2,644,302,386 | 7,284 | support for custom feature encoding/decoding | Fix for https://github.com/huggingface/datasets/issues/7220 as suggested in discussion, in preference to #7221
(only concern would be on effect on type checking with custom feature types that aren't covered by FeatureType?) | closed | https://github.com/huggingface/datasets/pull/7284 | 2024-11-08T15:04:08 | 2024-11-21T16:09:47 | 2024-11-21T16:09:47 | {
"login": "alex-hh",
"id": 5719745,
"type": "User"
} | [] | true | [] |
2,642,537,708 | 7,283 | Allow for variation in metadata file names as per issue #7123 | Allow metadata files to have an identifying preface. Specifically, it will recognize files with `-metadata.csv` or `_metadata.csv` as metadata files for the purposes of the dataset viewer functionality.
Resolves #7123. | open | https://github.com/huggingface/datasets/pull/7283 | 2024-11-08T00:44:47 | 2024-11-08T00:44:47 | null | {
"login": "egrace479",
"id": 38985481,
"type": "User"
} | [] | true | [] |
2,642,075,491 | 7,282 | Faulty datasets.exceptions.ExpectedMoreSplitsError | ### Describe the bug
Trying to download only the 'validation' split of my dataset; instead hit the error `datasets.exceptions.ExpectedMoreSplitsError`.
Appears to be the same undesired behavior as reported in [#6939](https://github.com/huggingface/datasets/issues/6939), but with `data_files`, not `data_dir`.
Her... | open | https://github.com/huggingface/datasets/issues/7282 | 2024-11-07T20:15:01 | 2024-11-07T20:15:42 | null | {
"login": "meg-huggingface",
"id": 90473723,
"type": "User"
} | [] | false | [] |
2,640,346,339 | 7,281 | File not found error | ### Describe the bug
I get a FileNotFoundError:
<img width="944" alt="image" src="https://github.com/user-attachments/assets/1336bc08-06f6-4682-a3c0-071ff65efa87">
### Steps to reproduce the bug
See screenshot.
### Expected behavior
I want to load one audiofile from the dataset.
### Environmen... | open | https://github.com/huggingface/datasets/issues/7281 | 2024-11-07T09:04:49 | 2024-11-07T09:22:43 | null | {
"login": "MichielBontenbal",
"id": 37507786,
"type": "User"
} | [] | false | [] |
2,639,977,077 | 7,280 | Add filename in error message when ReadError or similar occur | Please update error messages to include relevant information for debugging when loading datasets with `load_dataset()` that may have a few corrupted files.
Whenever downloading a full dataset, some files might be corrupted (either at the source or from downloading corruption).
However the errors often only let me k... | open | https://github.com/huggingface/datasets/issues/7280 | 2024-11-07T06:00:53 | 2024-11-20T13:23:12 | null | {
"login": "elisa-aleman",
"id": 37046039,
"type": "User"
} | [] | false | [] |
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