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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,063,839,916 | 6,554 | Parquet exports are used even if revision is passed | We should not used Parquet exports if `revision` is passed.
I think this is a regression. | closed | https://github.com/huggingface/datasets/issues/6554 | 2024-01-03T11:32:26 | 2024-02-02T10:35:29 | 2024-02-02T10:35:29 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
2,063,474,183 | 6,553 | Cannot import name 'load_dataset' from .... module ‘datasets’ | ### Describe the bug
use python -m pip install datasets to install
### Steps to reproduce the bug
from datasets import load_dataset
### Expected behavior
it doesn't work
### Environment info
datasets version==2.15.0
python == 3.10.12
linux version I don't know?? | closed | https://github.com/huggingface/datasets/issues/6553 | 2024-01-03T08:18:21 | 2024-02-21T00:38:24 | 2024-02-21T00:38:24 | {
"login": "ciaoyizhen",
"id": 83450192,
"type": "User"
} | [] | false | [] |
2,063,157,187 | 6,552 | Loading a dataset from Google Colab hangs at "Resolving data files". | ### Describe the bug
Hello,
I'm trying to load a dataset from Google Colab but the process hangs at `Resolving data files`:
It is happening when the `_get_origin_metadata` definition is invoked:
```python
d... | closed | https://github.com/huggingface/datasets/issues/6552 | 2024-01-03T02:18:17 | 2024-01-08T10:09:04 | 2024-01-08T10:09:04 | {
"login": "KelSolaar",
"id": 99779,
"type": "User"
} | [] | false | [] |
2,062,768,400 | 6,551 | Fix parallel downloads for datasets without scripts | Enable parallel downloads using multiprocessing when `num_proc` is passed to `load_dataset`.
It was enabled for datasets with scripts already (if they passed lists to `dl_manager.download`) but not for no-script datasets (we pass dicts {split: [list of files]} to `dl_manager.download` for those ones).
I fixed thi... | closed | https://github.com/huggingface/datasets/pull/6551 | 2024-01-02T18:06:18 | 2024-01-06T20:14:57 | 2024-01-03T13:19:48 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,062,556,493 | 6,550 | Multi gpu docs | after discussions in https://github.com/huggingface/datasets/pull/6415 | closed | https://github.com/huggingface/datasets/pull/6550 | 2024-01-02T15:11:58 | 2024-01-31T13:45:15 | 2024-01-31T13:38:59 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,062,420,259 | 6,549 | Loading from hf hub with clearer error message | ### Feature request
Shouldn't this kinda work ?
```
Dataset.from_json("hf://datasets/HuggingFaceTB/eval_data/resolve/main/eval_data_context_and_answers.json")
```
I got an error
```
File ~/miniconda3/envs/datatrove/lib/python3.10/site-packages/datasets/data_files.py:380, in resolve_pattern(pattern, base_path, al... | open | https://github.com/huggingface/datasets/issues/6549 | 2024-01-02T13:26:34 | 2024-01-02T14:06:49 | null | {
"login": "thomwolf",
"id": 7353373,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,061,047,984 | 6,548 | Skip if a dataset has issues | ### Describe the bug
Hello everyone,
I'm using **load_datasets** from **huggingface** to download the datasets and I'm facing an issue, the download starts but it reaches some state and then fails with the following error:
Couldn't reach https://huggingface.co/datasets/wikimedia/wikipedia/resolve/4cb9b0d719291f1a10... | open | https://github.com/huggingface/datasets/issues/6548 | 2023-12-31T12:41:26 | 2024-01-02T10:33:17 | null | {
"login": "hadianasliwa",
"id": 143214684,
"type": "User"
} | [] | false | [] |
2,060,796,927 | 6,547 | set dev version | null | closed | https://github.com/huggingface/datasets/pull/6547 | 2023-12-30T16:47:17 | 2023-12-30T16:53:38 | 2023-12-30T16:47:27 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,060,796,369 | 6,546 | Release: 2.16.1 | null | closed | https://github.com/huggingface/datasets/pull/6546 | 2023-12-30T16:44:51 | 2023-12-30T16:52:07 | 2023-12-30T16:45:52 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,060,789,507 | 6,545 | `image` column not automatically inferred if image dataset only contains 1 image | ### Describe the bug
By default, the standard Image Dataset maps out `file_name` to `image` when loading an Image Dataset.
However, if the dataset contains only 1 image, this does not take place
### Steps to reproduce the bug
Input
(dataset with one image `multimodalart/repro_1_image`)
```py
from data... | closed | https://github.com/huggingface/datasets/issues/6545 | 2023-12-30T16:17:29 | 2024-01-09T13:06:31 | 2024-01-09T13:06:31 | {
"login": "apolinario",
"id": 788417,
"type": "User"
} | [] | false | [] |
2,060,782,594 | 6,544 | Fix custom configs from script | We should not use the parquet export when the user is passing config_kwargs
I also fixed a regression that would disallow creating a custom config when a dataset has multiple predefined configs
fix https://github.com/huggingface/datasets/issues/6533 | closed | https://github.com/huggingface/datasets/pull/6544 | 2023-12-30T15:51:25 | 2024-01-02T11:02:39 | 2023-12-30T16:09:49 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,060,776,174 | 6,543 | Fix dl_manager.extract returning FileNotFoundError | The dl_manager base path is remote (e.g. a hf:// path), so local cached paths should be passed as absolute paths.
This could happen if users provide a relative path as `cache_dir`
fix https://github.com/huggingface/datasets/issues/6536 | closed | https://github.com/huggingface/datasets/pull/6543 | 2023-12-30T15:24:50 | 2023-12-30T16:00:06 | 2023-12-30T15:53:59 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,059,198,575 | 6,542 | Datasets : wikipedia 20220301.en error | ### Describe the bug
When I used load_dataset to download this data set, the following error occurred. The main problem was that the target data did not exist.
### Steps to reproduce the bug
1.I tried downloading directly.
```python
wiki_dataset = load_dataset("wikipedia", "20220301.en")
```
An exception occurre... | closed | https://github.com/huggingface/datasets/issues/6542 | 2023-12-29T08:34:51 | 2024-01-02T13:21:06 | 2024-01-02T13:20:30 | {
"login": "ppx666",
"id": 53203620,
"type": "User"
} | [] | false | [] |
2,058,983,826 | 6,541 | Dataset not loading successfully. | ### Describe the bug
When I run down the below code shows this error: AttributeError: module 'numpy' has no attribute '_no_nep50_warning'
I also added this issue in transformers library please check out: [link](https://github.com/huggingface/transformers/issues/28099)
### Steps to reproduce the bug
## Reproduction
... | closed | https://github.com/huggingface/datasets/issues/6541 | 2023-12-29T01:35:47 | 2024-01-17T00:40:46 | 2024-01-17T00:40:45 | {
"login": "hisushanta",
"id": 93595990,
"type": "User"
} | [] | false | [] |
2,058,965,157 | 6,540 | Extreme inefficiency for `save_to_disk` when merging datasets | ### Describe the bug
Hi, I tried to merge in total 22M sequences of data, where each sequence is of maximum length 2000. I found that merging these datasets and then `save_to_disk` is extremely slow because of flattening the indices. Wondering if you have any suggestions or guidance on this. Thank you very much!
###... | open | https://github.com/huggingface/datasets/issues/6540 | 2023-12-29T00:44:35 | 2023-12-30T15:05:48 | null | {
"login": "KatarinaYuan",
"id": 43512683,
"type": "User"
} | [] | false | [] |
2,058,493,960 | 6,539 | 'Repo card metadata block was not found' when loading a pragmeval dataset | ### Describe the bug
I can't load dataset subsets of 'pragmeval'.
The funny thing is I ran the dataset author's [colab notebook](https://colab.research.google.com/drive/1sg--LF4z7XR1wxAOfp0-3d4J6kQ9nj_A?usp=sharing) and it works just fine. I tried to install exactly the same packages that are installed on colab usi... | open | https://github.com/huggingface/datasets/issues/6539 | 2023-12-28T14:18:25 | 2023-12-28T14:18:37 | null | {
"login": "lambdaofgod",
"id": 3647577,
"type": "User"
} | [] | false | [] |
2,057,377,630 | 6,538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | closed | https://github.com/huggingface/datasets/issues/6538 | 2023-12-27T13:31:16 | 2024-01-03T10:06:47 | 2024-01-03T10:04:58 | {
"login": "Sonali-Behera-TRT",
"id": 131662185,
"type": "User"
} | [] | false | [] |
2,057,132,173 | 6,537 | Adding support for netCDF (*.nc) files | ### Feature request
netCDF (*.nc) is a file format for storing multidimensional scientific data, which is used by packages like `xarray` (labelled multi-dimensional arrays in Python). It would be nice to have native support for netCDF in `datasets`.
### Motivation
When uploading *.nc files onto Huggingface Hub throu... | open | https://github.com/huggingface/datasets/issues/6537 | 2023-12-27T09:27:29 | 2023-12-27T20:46:53 | null | {
"login": "shermansiu",
"id": 12627125,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,056,863,239 | 6,536 | datasets.load_dataset raises FileNotFoundError for datasets==2.16.0 | ### Describe the bug
Seems `datasets.load_dataset` raises FileNotFoundError for some hub datasets with the latest `datasets==2.16.0`
### Steps to reproduce the bug
For example `pip install datasets==2.16.0`
then
```python
import datasets
datasets.load_dataset("wentingzhao/anthropic-hh-first-prompt", cache_di... | closed | https://github.com/huggingface/datasets/issues/6536 | 2023-12-27T03:15:48 | 2023-12-30T18:58:04 | 2023-12-30T15:54:00 | {
"login": "ArvinZhuang",
"id": 46237844,
"type": "User"
} | [] | false | [] |
2,056,264,339 | 6,535 | IndexError: Invalid key: 47682 is out of bounds for size 0 while using PEFT | ### Describe the bug
I am trying to fine-tune the t5 model on the paraphrasing task. While running the same code without-
model = get_peft_model(model, config)
the model trains without any issues. However, using the model returned from get_peft_model raises the following error due to datasets-
IndexError: Inv... | open | https://github.com/huggingface/datasets/issues/6535 | 2023-12-26T10:14:33 | 2024-02-05T08:42:31 | null | {
"login": "MahavirDabas18",
"id": 57484266,
"type": "User"
} | [] | false | [] |
2,056,002,548 | 6,534 | How to configure multiple folders in the same zip package | How should I write "config" in readme when all the data, such as train test, is in a zip file
train floder and test floder in data.zip | open | https://github.com/huggingface/datasets/issues/6534 | 2023-12-26T03:56:20 | 2023-12-26T06:31:16 | null | {
"login": "d710055071",
"id": 12895488,
"type": "User"
} | [] | false | [] |
2,055,929,101 | 6,533 | ted_talks_iwslt | Error: Config name is missing | ### Describe the bug
Running load_dataset using the newest `datasets` library like below on the ted_talks_iwslt using year pair data will throw an error "Config name is missing"
see also:
https://huggingface.co/datasets/ted_talks_iwslt/discussions/3
likely caused by #6493, where the `and not config_kwargs` part... | closed | https://github.com/huggingface/datasets/issues/6533 | 2023-12-26T00:38:18 | 2023-12-30T18:58:21 | 2023-12-30T16:09:50 | {
"login": "rayliuca",
"id": 35850903,
"type": "User"
} | [] | false | [] |
2,055,631,201 | 6,532 | [Feature request] Indexing datasets by a customly-defined id field to enable random access dataset items via the id | ### Feature request
Some datasets may contain an id-like field, for example the `id` field in [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) and the `_id` field in [BeIR/dbpedia-entity](https://huggingface.co/datasets/BeIR/dbpedia-entity). HF datasets support efficient random access via r... | open | https://github.com/huggingface/datasets/issues/6532 | 2023-12-25T11:37:10 | 2025-05-05T13:25:24 | null | {
"login": "Yu-Shi",
"id": 3377221,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,055,201,605 | 6,531 | Add polars compatibility | Hey there,
I've just finished adding support to convert and format to `polars.DataFrame`. This was in response to the open issue about integrating Polars [#3334](https://github.com/huggingface/datasets/issues/3334). Datasets can be switched to Polars format via `Dataset.set_format("polars")`. I've also included `to_... | closed | https://github.com/huggingface/datasets/pull/6531 | 2023-12-24T20:03:23 | 2024-03-08T19:29:25 | 2024-03-08T15:22:58 | {
"login": "psmyth94",
"id": 11325244,
"type": "User"
} | [] | true | [] |
2,054,817,609 | 6,530 | Impossible to save a mapped dataset to disk | ### Describe the bug
I want to play around with different hyperparameters when training but don't want to re-map my dataset with 3 million samples each time for tens of hours when I [fully fine-tune SDXL](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py).
After... | open | https://github.com/huggingface/datasets/issues/6530 | 2023-12-23T15:18:27 | 2023-12-24T09:40:30 | null | {
"login": "kopyl",
"id": 17604849,
"type": "User"
} | [] | false | [] |
2,054,209,449 | 6,529 | Impossible to only download a test split | I've spent a significant amount of time trying to locate the split object inside my _split_generators() custom function.
Then after diving [in the code](https://github.com/huggingface/datasets/blob/5ff3670c18ed34fa8ddfa70a9aa403ae6cc9ad54/src/datasets/load.py#L2558) I realized that `download_and_prepare` is executed b... | open | https://github.com/huggingface/datasets/issues/6529 | 2023-12-22T16:56:32 | 2024-02-02T00:05:04 | null | {
"login": "ysig",
"id": 28439529,
"type": "User"
} | [] | false | [] |
2,053,996,494 | 6,528 | set dev version | null | closed | https://github.com/huggingface/datasets/pull/6528 | 2023-12-22T14:23:18 | 2023-12-22T14:31:42 | 2023-12-22T14:25:34 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,053,966,748 | 6,527 | Release: 2.16.0 | null | closed | https://github.com/huggingface/datasets/pull/6527 | 2023-12-22T13:59:56 | 2023-12-22T14:24:12 | 2023-12-22T14:17:55 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,053,726,451 | 6,526 | Preserve order of configs and splits when using Parquet exports | Preserve order of configs and splits, as defined in dataset infos.
Fix #6521. | closed | https://github.com/huggingface/datasets/pull/6526 | 2023-12-22T10:35:56 | 2023-12-22T11:42:22 | 2023-12-22T11:36:14 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,053,119,357 | 6,525 | BBox type | see [internal discussion](https://huggingface.slack.com/archives/C02EK7C3SHW/p1703097195609209)
Draft to get some feedback on a possible `BBox` feature type that can be used to get object detection bounding boxes data in one format or another.
```python
>>> from datasets import load_dataset, BBox
>>> ds = load_... | closed | https://github.com/huggingface/datasets/pull/6525 | 2023-12-21T22:13:27 | 2024-01-11T06:34:51 | 2023-12-21T22:39:27 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,053,076,311 | 6,524 | Streaming the Pile: Missing Files | ### Describe the bug
The pile does not stream, a "File not Found error" is returned. It looks like the Pile's files have been moved.
### Steps to reproduce the bug
To reproduce run the following code:
```
from datasets import load_dataset
dataset = load_dataset('EleutherAI/pile', 'en', split='train', streamin... | closed | https://github.com/huggingface/datasets/issues/6524 | 2023-12-21T21:25:09 | 2023-12-22T09:17:05 | 2023-12-22T09:17:05 | {
"login": "FelixLabelle",
"id": 23347756,
"type": "User"
} | [] | false | [] |
2,052,643,484 | 6,523 | fix tests | null | closed | https://github.com/huggingface/datasets/pull/6523 | 2023-12-21T15:36:21 | 2023-12-21T15:56:54 | 2023-12-21T15:50:38 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,052,332,528 | 6,522 | Loading HF Hub Dataset (private org repo) fails to load all features | ### Describe the bug
When pushing a `Dataset` with multiple `Features` (`input`, `output`, `tags`) to Huggingface Hub (private org repo), and later downloading the `Dataset`, only `input` and `output` load - I believe the expected behavior is for all `Features` to be loaded by default?
### Steps to reproduce the ... | open | https://github.com/huggingface/datasets/issues/6522 | 2023-12-21T12:26:35 | 2023-12-21T13:24:31 | null | {
"login": "versipellis",
"id": 6579034,
"type": "User"
} | [] | false | [] |
2,052,229,538 | 6,521 | The order of the splits is not preserved | We had a regression and the order of the splits is not preserved. They are alphabetically sorted, instead of preserving original "train", "validation", "test" order.
Check: In branch "main"
```python
In [9]: dataset = load_dataset("adversarial_qa", '"adversarialQA")
In [10]: dataset
Out[10]:
DatasetDict({
... | closed | https://github.com/huggingface/datasets/issues/6521 | 2023-12-21T11:17:27 | 2023-12-22T11:36:15 | 2023-12-22T11:36:15 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
2,052,059,078 | 6,520 | Support commit_description parameter in push_to_hub | Support `commit_description` parameter in `push_to_hub`.
CC: @Wauplin | closed | https://github.com/huggingface/datasets/pull/6520 | 2023-12-21T09:36:11 | 2023-12-21T14:49:47 | 2023-12-21T14:43:35 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,050,759,824 | 6,519 | Support push_to_hub canonical datasets | Support `push_to_hub` canonical datasets.
This is necessary in the Space to convert script-datasets to Parquet: https://huggingface.co/spaces/albertvillanova/convert-dataset-to-parquet
Note that before this PR, the `repo_id` "dataset_name" was transformed to "user/dataset_name". This behavior was introduced by:
... | closed | https://github.com/huggingface/datasets/pull/6519 | 2023-12-20T15:16:45 | 2023-12-21T14:48:20 | 2023-12-21T14:40:57 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,050,137,038 | 6,518 | fix get_metadata_patterns function args error | Bug get_metadata_patterns arg error https://github.com/huggingface/datasets/issues/6517 | closed | https://github.com/huggingface/datasets/pull/6518 | 2023-12-20T09:06:22 | 2023-12-21T15:14:17 | 2023-12-21T15:07:57 | {
"login": "d710055071",
"id": 12895488,
"type": "User"
} | [] | true | [] |
2,050,121,588 | 6,517 | Bug get_metadata_patterns arg error | https://github.com/huggingface/datasets/blob/3f149204a2a5948287adcade5e90707aa5207a92/src/datasets/load.py#L1240C1-L1240C69
metadata_patterns = get_metadata_patterns(base_path, download_config=self.download_config) | closed | https://github.com/huggingface/datasets/issues/6517 | 2023-12-20T08:56:44 | 2023-12-22T00:24:23 | 2023-12-22T00:24:23 | {
"login": "d710055071",
"id": 12895488,
"type": "User"
} | [] | false | [] |
2,050,033,322 | 6,516 | Support huggingface-hub pre-releases | Support `huggingface-hub` pre-releases.
This way we will have our CI green when testing `huggingface-hub` release candidates. See: https://github.com/huggingface/datasets/tree/ci-test-huggingface-hub-v0.20.0.rc1
Close #6513. | closed | https://github.com/huggingface/datasets/pull/6516 | 2023-12-20T07:52:29 | 2023-12-20T08:51:34 | 2023-12-20T08:44:44 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,049,724,251 | 6,515 | Why call http_head() when fsspec_head() succeeds | https://github.com/huggingface/datasets/blob/a91582de288d98e94bcb5ab634ca1cfeeff544c5/src/datasets/utils/file_utils.py#L510C1-L523C14 | closed | https://github.com/huggingface/datasets/issues/6515 | 2023-12-20T02:25:51 | 2023-12-26T05:35:46 | 2023-12-26T05:35:46 | {
"login": "d710055071",
"id": 12895488,
"type": "User"
} | [] | false | [] |
2,049,600,663 | 6,514 | Cache backward compatibility with 2.15.0 | ...for datasets without scripts
It takes into account the changes in cache from
- https://github.com/huggingface/datasets/pull/6493: switch to `config/version/commit_sha` schema
- https://github.com/huggingface/datasets/pull/6454: fix `DataFilesDict` keys ordering when hashing
requires https://github.com/huggin... | closed | https://github.com/huggingface/datasets/pull/6514 | 2023-12-19T23:52:25 | 2023-12-21T21:14:11 | 2023-12-21T21:07:55 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,048,869,151 | 6,513 | Support huggingface-hub 0.20.0 | CI to test the support of `huggingface-hub` 0.20.0: https://github.com/huggingface/datasets/compare/main...ci-test-huggingface-hub-v0.20.0.rc1
We need to merge:
- #6510
- #6512
- #6516 | closed | https://github.com/huggingface/datasets/issues/6513 | 2023-12-19T15:15:46 | 2023-12-20T08:44:45 | 2023-12-20T08:44:45 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | false | [] |
2,048,795,819 | 6,512 | Remove deprecated HfFolder | ...and use `huggingface_hub.get_token()` instead | closed | https://github.com/huggingface/datasets/pull/6512 | 2023-12-19T14:40:49 | 2023-12-19T20:21:13 | 2023-12-19T20:14:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,048,465,958 | 6,511 | Implement get dataset default config name | Implement `get_dataset_default_config_name`.
Now that we support setting a configuration as default in `push_to_hub` (see #6500), we need a programmatically way to know in advance which is the default configuration. This will be used in the Space to convert script-datasets to Parquet: https://huggingface.co/spaces/a... | closed | https://github.com/huggingface/datasets/pull/6511 | 2023-12-19T11:26:19 | 2023-12-21T14:48:57 | 2023-12-21T14:42:41 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,046,928,742 | 6,510 | Replace `list_files_info` with `list_repo_tree` in `push_to_hub` | Starting from `huggingface_hub` 0.20.0, `list_files_info` will be deprecated in favor of `list_repo_tree` (see https://github.com/huggingface/huggingface_hub/pull/1910) | closed | https://github.com/huggingface/datasets/pull/6510 | 2023-12-18T15:34:19 | 2023-12-19T18:05:47 | 2023-12-19T17:58:34 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,046,720,869 | 6,509 | Better cast error when generating dataset | I want to improve the error message for datasets like https://huggingface.co/datasets/m-a-p/COIG-CQIA
Cc @albertvillanova @severo is this new error ok ? Or should I use a dedicated error class ?
New:
```python
Traceback (most recent call last):
File "/Users/quentinlhoest/hf/datasets/src/datasets/builder.py... | closed | https://github.com/huggingface/datasets/pull/6509 | 2023-12-18T13:57:24 | 2023-12-19T09:37:12 | 2023-12-19T09:31:03 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,045,733,273 | 6,508 | Read GeoParquet files using parquet reader | Let GeoParquet files with the file extension `*.geoparquet` or `*.gpq` be readable by the default parquet reader.
Those two file extensions are the ones most commonly used for GeoParquet files, and is included in the `gpq` validator tool at https://github.com/planetlabs/gpq/blob/e5576b4ee7306b4d2259d56c879465a9364da... | closed | https://github.com/huggingface/datasets/pull/6508 | 2023-12-18T04:50:37 | 2024-01-26T18:22:35 | 2024-01-26T16:18:41 | {
"login": "weiji14",
"id": 23487320,
"type": "User"
} | [] | true | [] |
2,045,152,928 | 6,507 | where is glue_metric.py> @Frankie123421 what was the resolution to this? | > @Frankie123421 what was the resolution to this?
use glue_metric.py instead of glue.py in load_metric
_Originally posted by @Frankie123421 in https://github.com/huggingface/datasets/issues/2117#issuecomment-905093763_
| closed | https://github.com/huggingface/datasets/issues/6507 | 2023-12-17T09:58:25 | 2023-12-18T11:42:49 | 2023-12-18T11:42:49 | {
"login": "Mcccccc1024",
"id": 119146162,
"type": "User"
} | [] | false | [] |
2,044,975,038 | 6,506 | Incorrect test set labels for RTE and CoLA datasets via load_dataset | ### Describe the bug
The test set labels for the RTE and CoLA datasets when loading via datasets load_dataset are all -1.
Edit: It appears this is also the case for every other dataset except for MRPC (stsb, sst2, qqp, mnli (both matched and mismatched), qnli, wnli, ax). Is this intended behavior to safeguard the t... | closed | https://github.com/huggingface/datasets/issues/6506 | 2023-12-16T22:06:08 | 2023-12-21T09:57:57 | 2023-12-21T09:57:57 | {
"login": "emreonal11",
"id": 73316684,
"type": "User"
} | [] | false | [] |
2,044,721,288 | 6,505 | Got stuck when I trying to load a dataset | ### Describe the bug
Hello, everyone. I met a problem when I am trying to load a data file using load_dataset method on a Debian 10 system. The data file is not very large, only 1.63MB with 600 records.
Here is my code:
from datasets import load_dataset
dataset = load_dataset('json', data_files='mypath/oaast_r... | open | https://github.com/huggingface/datasets/issues/6505 | 2023-12-16T11:51:07 | 2024-12-24T16:45:52 | null | {
"login": "yirenpingsheng",
"id": 18232551,
"type": "User"
} | [] | false | [] |
2,044,541,154 | 6,504 | Error Pushing to Hub | ### Describe the bug
Error when trying to push a dataset in a special format to hub
### Steps to reproduce the bug
```
import datasets
from datasets import Dataset
dataset_dict = {
"filename": ["apple", "banana"],
"token": [[[1,2],[3,4]],[[1,2],[3,4]]],
"label": [0, 1],
}
dataset = Dataset.from_d... | closed | https://github.com/huggingface/datasets/issues/6504 | 2023-12-16T01:05:22 | 2023-12-16T06:20:53 | 2023-12-16T06:20:53 | {
"login": "Jiayi-Pan",
"id": 55055083,
"type": "User"
} | [] | false | [] |
2,043,847,591 | 6,503 | Fix streaming xnli | This code was failing
```python
In [1]: from datasets import load_dataset
In [2]:
...: ds = load_dataset("xnli", "all_languages", split="test", streaming=True)
...:
...: sample_data = next(iter(ds))["premise"] # pick up one data
...: input_text = list(sample_data.valu... | closed | https://github.com/huggingface/datasets/pull/6503 | 2023-12-15T14:40:57 | 2023-12-15T14:51:06 | 2023-12-15T14:44:47 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,043,771,731 | 6,502 | Pickle support for `torch.Generator` objects | Fix for https://discuss.huggingface.co/t/caching-a-dataset-processed-with-randomness/65616 | closed | https://github.com/huggingface/datasets/pull/6502 | 2023-12-15T13:55:12 | 2023-12-15T15:04:33 | 2023-12-15T14:58:22 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,043,377,240 | 6,501 | OverflowError: value too large to convert to int32_t | ### Describe the bug
### Steps to reproduce the bug
just loading datasets
### Expected behavior
how can I fix it
### Environment info
pip install /mnt/cluster/zhangfan/study_info/LLaMA-Factory/peft-0.6.0-py3... | open | https://github.com/huggingface/datasets/issues/6501 | 2023-12-15T10:10:21 | 2025-06-27T04:27:14 | null | {
"login": "zhangfan-algo",
"id": 47747764,
"type": "User"
} | [] | false | [] |
2,043,258,633 | 6,500 | Enable setting config as default when push_to_hub | Fix #6497. | closed | https://github.com/huggingface/datasets/pull/6500 | 2023-12-15T09:17:41 | 2023-12-18T11:56:11 | 2023-12-18T11:50:03 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,043,166,976 | 6,499 | docs: add reference Git over SSH | see https://discuss.huggingface.co/t/update-datasets-getting-started-to-new-git-security/65893 | closed | https://github.com/huggingface/datasets/pull/6499 | 2023-12-15T08:38:31 | 2023-12-15T11:48:47 | 2023-12-15T11:42:38 | {
"login": "severo",
"id": 1676121,
"type": "User"
} | [] | true | [] |
2,042,075,969 | 6,498 | Fallback on dataset script if user wants to load default config | Right now this code is failing on `main`:
```python
load_dataset("openbookqa")
```
This is because it tries to load the dataset from the Parquet export but the dataset has multiple configurations and the Parquet export doesn't know which one is the default one.
I fixed this by simply falling back on using th... | closed | https://github.com/huggingface/datasets/pull/6498 | 2023-12-14T16:46:01 | 2023-12-15T13:16:56 | 2023-12-15T13:10:48 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,041,994,274 | 6,497 | Support setting a default config name in push_to_hub | In order to convert script-datasets to no-script datasets, we need to support setting a default config name for those scripts that set one. | closed | https://github.com/huggingface/datasets/issues/6497 | 2023-12-14T15:59:03 | 2023-12-18T11:50:04 | 2023-12-18T11:50:04 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,041,589,386 | 6,496 | Error when writing a dataset to HF Hub: A commit has happened since. Please refresh and try again. | **Describe the bug**
Getting a `412 Client Error: Precondition Failed` when trying to write a dataset to the HF hub.
```
huggingface_hub.utils._errors.HfHubHTTPError: 412 Client Error: Precondition Failed for url: https://huggingface.co/api/datasets/GLorr/test-dask/commit/main (Request ID: Root=1-657ae26f-3bd92b... | open | https://github.com/huggingface/datasets/issues/6496 | 2023-12-14T11:24:54 | 2023-12-14T12:22:21 | null | {
"login": "GeorgesLorre",
"id": 35808396,
"type": "User"
} | [] | false | [] |
2,039,684,839 | 6,494 | Image Data loaded Twice | ### Describe the bug
When I learn from https://huggingface.co/docs/datasets/image_load and try to load image data from a folder. I noticed that the image was read twice in the returned data. As you can see i... | open | https://github.com/huggingface/datasets/issues/6494 | 2023-12-13T13:11:42 | 2023-12-13T13:11:42 | null | {
"login": "ArcaneLex",
"id": 28867010,
"type": "User"
} | [] | false | [] |
2,039,708,529 | 6,495 | Newline characters don't behave as expected when calling dataset.info | ### System Info
- `transformers` version: 4.32.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.5
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cpu (False)
- Tensorflow version (GPU... | open | https://github.com/huggingface/datasets/issues/6495 | 2023-12-12T23:07:51 | 2023-12-13T13:24:22 | null | {
"login": "gerald-wrona",
"id": 32300890,
"type": "User"
} | [] | false | [] |
2,038,221,490 | 6,493 | Lazy data files resolution and offline cache reload | Includes both https://github.com/huggingface/datasets/pull/6458 and https://github.com/huggingface/datasets/pull/6459
This PR should be merged instead of the two individually, since they are conflicting
## Offline cache reload
it can reload datasets that were pushed to hub if they exist in the cache.
examp... | closed | https://github.com/huggingface/datasets/pull/6493 | 2023-12-12T17:15:17 | 2023-12-21T15:19:20 | 2023-12-21T15:13:11 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,037,987,267 | 6,492 | Make push_to_hub return CommitInfo | Make `push_to_hub` return `CommitInfo`.
This is useful, for example, if we pass `create_pr=True` and we want to know the created PR ID.
CC: @severo for the use case in https://huggingface.co/datasets/jmhessel/newyorker_caption_contest/discussions/4 | closed | https://github.com/huggingface/datasets/pull/6492 | 2023-12-12T15:18:16 | 2023-12-13T14:29:01 | 2023-12-13T14:22:41 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,037,690,643 | 6,491 | Fix metrics dead link | null | closed | https://github.com/huggingface/datasets/pull/6491 | 2023-12-12T12:51:49 | 2023-12-21T15:15:08 | 2023-12-21T15:08:53 | {
"login": "qgallouedec",
"id": 45557362,
"type": "User"
} | [] | true | [] |
2,037,204,892 | 6,490 | `load_dataset(...,save_infos=True)` not working without loading script | ### Describe the bug
It seems that saving a dataset infos back into the card file is not working for datasets without a loading script.
After tracking the problem a bit it looks like saving the infos uses `Builder.get_imported_module_dir()` as its destination directory.
Internally this is a call to `inspect.getfil... | open | https://github.com/huggingface/datasets/issues/6490 | 2023-12-12T08:09:18 | 2023-12-12T08:36:22 | null | {
"login": "morganveyret",
"id": 114978051,
"type": "User"
} | [] | false | [] |
2,036,743,777 | 6,489 | load_dataset imageflder for aws s3 path | ### Feature request
I would like to load a dataset from S3 using the imagefolder option
something like
`dataset = datasets.load_dataset('imagefolder', data_dir='s3://.../lsun/train/bedroom', fs=S3FileSystem(), streaming=True) `
### Motivation
no need of data_files
### Your contribution
no experience... | open | https://github.com/huggingface/datasets/issues/6489 | 2023-12-12T00:08:43 | 2023-12-12T00:09:27 | null | {
"login": "segalinc",
"id": 9353106,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,035,899,898 | 6,488 | 429 Client Error | Hello, I was downloading the following dataset and after 20% of data was downloaded, I started getting error 429. It is not resolved since a few days. How should I resolve it?
Thanks
Dataset:
https://huggingface.co/datasets/cerebras/SlimPajama-627B
Error:
`requests.exceptions.HTTPError: 429 Client Error: Too M... | open | https://github.com/huggingface/datasets/issues/6488 | 2023-12-11T15:06:01 | 2024-06-20T05:55:45 | null | {
"login": "sasaadi",
"id": 7882383,
"type": "User"
} | [] | false | [] |
2,035,424,254 | 6,487 | Update builder hash with info | Currently if you change the `dataset_info` of a dataset (e.g. in the YAML part of the README.md), the cache ignores this change.
This is problematic because you want to regenerate a dataset if you change the features or the split sizes for example (e.g. after push_to_hub)
Ideally we should take the resolved files... | closed | https://github.com/huggingface/datasets/pull/6487 | 2023-12-11T11:09:16 | 2024-01-11T06:35:07 | 2023-12-11T11:41:34 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,035,206,206 | 6,486 | Fix docs phrasing about supported formats when sharing a dataset | Fix docs phrasing. | closed | https://github.com/huggingface/datasets/pull/6486 | 2023-12-11T09:21:22 | 2023-12-13T14:21:29 | 2023-12-13T14:15:21 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,035,141,884 | 6,485 | FileNotFoundError: [Errno 2] No such file or directory: 'nul' | ### Describe the bug
it seems that sth wrong with my terrible "bug body" life, When i run this code, "import datasets"
i meet this error FileNotFoundError: [Errno 2] No such file or directory: 'nul'
![image](htt... | closed | https://github.com/huggingface/datasets/issues/6485 | 2023-12-11T08:52:13 | 2023-12-14T08:09:08 | 2023-12-14T08:09:08 | {
"login": "amanyara",
"id": 73683903,
"type": "User"
} | [] | false | [] |
2,032,946,981 | 6,483 | Iterable Dataset: rename column clashes with remove column | ### Describe the bug
Suppose I have a two iterable datasets, one with the features:
* `{"audio", "text", "column_a"}`
And the other with the features:
* `{"audio", "sentence", "column_b"}`
I want to combine both datasets using `interleave_datasets`, which requires me to unify the column names. I would typic... | closed | https://github.com/huggingface/datasets/issues/6483 | 2023-12-08T16:11:30 | 2023-12-08T16:27:16 | 2023-12-08T16:27:04 | {
"login": "sanchit-gandhi",
"id": 93869735,
"type": "User"
} | [
{
"name": "streaming",
"color": "fef2c0"
}
] | false | [] |
2,033,333,294 | 6,484 | [Feature Request] Dataset versioning | **Is your feature request related to a problem? Please describe.**
I am working on a project, where I would like to test different preprocessing methods for my ML-data. Thus, I would like to work a lot with revisions and compare them. Currently, I was not able to make it work with the revision keyword because it was n... | open | https://github.com/huggingface/datasets/issues/6484 | 2023-12-08T16:01:35 | 2023-12-11T19:13:46 | null | {
"login": "kenfus",
"id": 47979198,
"type": "User"
} | [] | false | [] |
2,032,675,918 | 6,482 | Fix max lock length on unix | reported in https://github.com/huggingface/datasets/pull/6482 | closed | https://github.com/huggingface/datasets/pull/6482 | 2023-12-08T13:39:30 | 2023-12-12T11:53:32 | 2023-12-12T11:47:27 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,032,650,003 | 6,481 | using torchrun, save_to_disk suddenly shows SIGTERM | ### Describe the bug
When I run my code using the "torchrun" command, when the code reaches the "save_to_disk" part, suddenly I get the following warning and error messages:
Because the dataset is too large, the "save_to_disk" function splits it into 70 parts for saving. However, an error occurs suddenly when it reac... | open | https://github.com/huggingface/datasets/issues/6481 | 2023-12-08T13:22:03 | 2023-12-08T13:22:03 | null | {
"login": "Ariya12138",
"id": 85916625,
"type": "User"
} | [] | false | [] |
2,031,116,653 | 6,480 | Add IterableDataset `__repr__` | Example for glue sst2:
Dataset
```
DatasetDict({
test: Dataset({
features: ['sentence', 'label', 'idx'],
num_rows: 1821
})
train: Dataset({
features: ['sentence', 'label', 'idx'],
num_rows: 67349
})
validation: Dataset({
features: ['sentence',... | closed | https://github.com/huggingface/datasets/pull/6480 | 2023-12-07T16:31:50 | 2023-12-08T13:33:06 | 2023-12-08T13:26:54 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,029,040,121 | 6,479 | More robust preupload retry mechanism | null | closed | https://github.com/huggingface/datasets/pull/6479 | 2023-12-06T17:19:38 | 2023-12-06T19:47:29 | 2023-12-06T19:41:06 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,028,071,596 | 6,478 | How to load data from lakefs | My dataset is stored on the company's lakefs server. How can I write code to load the dataset? It would be great if I could provide code examples or provide some references
| closed | https://github.com/huggingface/datasets/issues/6478 | 2023-12-06T09:04:11 | 2024-07-03T19:13:57 | 2024-07-03T19:13:56 | {
"login": "d710055071",
"id": 12895488,
"type": "User"
} | [] | false | [] |
2,028,022,374 | 6,477 | Fix PermissionError on Windows CI | Fix #6476. | closed | https://github.com/huggingface/datasets/pull/6477 | 2023-12-06T08:34:53 | 2023-12-06T09:24:11 | 2023-12-06T09:17:52 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,028,018,596 | 6,476 | CI on windows is broken: PermissionError | See: https://github.com/huggingface/datasets/actions/runs/7104781624/job/19340572394
```
FAILED tests/test_load.py::test_loading_from_the_datasets_hub - NotADirectoryError: [WinError 267] The directory name is invalid: 'C:\\Users\\RUNNER~1\\AppData\\Local\\Temp\\tmpfcnps56i\\hf-internal-testing___dataset_with_script\... | closed | https://github.com/huggingface/datasets/issues/6476 | 2023-12-06T08:32:53 | 2023-12-06T09:17:53 | 2023-12-06T09:17:53 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
2,027,373,734 | 6,475 | laion2B-en failed to load on Windows with PrefetchVirtualMemory failed | ### Describe the bug
I have downloaded laion2B-en, and I'm receiving the following error trying to load it:
```
Resolving data files: 100%|██████████| 128/128 [00:00<00:00, 1173.79it/s]
Traceback (most recent call last):
File "D:\Art-Workspace\src\artworkspace\tokeneval\compute_frequencies.py", line 31, in <mo... | open | https://github.com/huggingface/datasets/issues/6475 | 2023-12-06T00:07:34 | 2023-12-06T23:26:23 | null | {
"login": "doctorpangloss",
"id": 2229300,
"type": "User"
} | [] | false | [] |
2,027,006,715 | 6,474 | Deprecate Beam API and download from HF GCS bucket | Deprecate the Beam API and download from the HF GCS bucked.
TODO:
- [x] Convert the Beam-based [`wikipedia`](https://huggingface.co/datasets/wikipedia) to an Arrow-based dataset ([Hub PR](https://huggingface.co/datasets/wikipedia/discussions/19))
- [x] Make [`natural_questions`](https://huggingface.co/datasets/na... | closed | https://github.com/huggingface/datasets/pull/6474 | 2023-12-05T19:51:33 | 2024-03-12T14:56:25 | 2024-03-12T14:50:12 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,026,495,084 | 6,473 | Fix CI quality | Fix #6472. | closed | https://github.com/huggingface/datasets/pull/6473 | 2023-12-05T15:36:23 | 2023-12-05T18:14:50 | 2023-12-05T18:08:41 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,026,493,439 | 6,472 | CI quality is broken | See: https://github.com/huggingface/datasets/actions/runs/7100835633/job/19327734359
```
Would reformat: src/datasets/features/image.py
1 file would be reformatted, 253 files left unchanged
``` | closed | https://github.com/huggingface/datasets/issues/6472 | 2023-12-05T15:35:34 | 2023-12-06T08:17:34 | 2023-12-05T18:08:43 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
},
{
"name": "maintenance",
"color": "d4c5f9"
}
] | false | [] |
2,026,100,761 | 6,471 | Remove delete doc CI | null | closed | https://github.com/huggingface/datasets/pull/6471 | 2023-12-05T12:37:50 | 2023-12-05T12:44:59 | 2023-12-05T12:38:50 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,024,724,319 | 6,470 | If an image in a dataset is corrupted, we get unescapable error | ### Describe the bug
Example discussed in detail here: https://huggingface.co/datasets/sasha/birdsnap/discussions/1
### Steps to reproduce the bug
```
from datasets import load_dataset, VerificationMode
dataset = load_dataset(
'sasha/birdsnap',
split="train",
verification_mode=VerificationMode.ALL_C... | open | https://github.com/huggingface/datasets/issues/6470 | 2023-12-04T20:58:49 | 2023-12-04T20:58:49 | null | {
"login": "chigozienri",
"id": 14337872,
"type": "User"
} | [] | false | [] |
2,023,695,839 | 6,469 | Don't expand_info in HF glob | Finally fix https://github.com/huggingface/datasets/issues/5537 | closed | https://github.com/huggingface/datasets/pull/6469 | 2023-12-04T12:00:37 | 2023-12-15T13:18:37 | 2023-12-15T13:12:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,023,617,877 | 6,468 | Use auth to get parquet export | added `token` to the `_datasets_server` functions | closed | https://github.com/huggingface/datasets/pull/6468 | 2023-12-04T11:18:27 | 2023-12-04T17:21:22 | 2023-12-04T17:15:11 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,023,174,233 | 6,467 | New version release request | ### Feature request
Hi!
I am using `datasets` in library `xtuner` and am highly interested in the features introduced since v2.15.0.
To avoid installation from source in our pypi wheels, we are eagerly waiting for the new release. So, Does your team have a new release plan for v2.15.1 and could you please share ... | closed | https://github.com/huggingface/datasets/issues/6467 | 2023-12-04T07:08:26 | 2023-12-04T15:42:22 | 2023-12-04T15:42:22 | {
"login": "LZHgrla",
"id": 36994684,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,022,601,176 | 6,466 | Can't align optional features of struct | ### Describe the bug
Hello!
I'm currently experiencing an issue where I can't concatenate datasets if an inner field of a Feature is Optional.
I have a column named `speaker`, and this holds some information about a speaker.
```python
@dataclass
class Speaker:
name: str
email: Optional[str]
```
... | closed | https://github.com/huggingface/datasets/issues/6466 | 2023-12-03T15:57:07 | 2024-02-15T15:19:33 | 2024-02-08T14:38:34 | {
"login": "Dref360",
"id": 8976546,
"type": "User"
} | [] | false | [] |
2,022,212,468 | 6,465 | `load_dataset` uses out-of-date cache instead of re-downloading a changed dataset | ### Describe the bug
When a dataset is updated on the hub, using `load_dataset` will load the locally cached dataset instead of re-downloading the updated dataset
### Steps to reproduce the bug
Here is a minimal example script to
1. create an initial dataset and upload
2. download it so it is stored in cache
3. c... | open | https://github.com/huggingface/datasets/issues/6465 | 2023-12-02T21:35:17 | 2024-08-20T08:32:11 | null | {
"login": "mnoukhov",
"id": 3391297,
"type": "User"
} | [] | false | [] |
2,020,860,462 | 6,464 | Add concurrent loading of shards to datasets.load_from_disk | In some file systems (like luster), memory mapping arrow files takes time. This can be accelerated by performing the mmap in parallel on processes or threads.
- Threads seem to be faster than processes when gathering the list of tables from the workers (see https://github.com/huggingface/datasets/issues/2252).
- I'... | closed | https://github.com/huggingface/datasets/pull/6464 | 2023-12-01T13:13:53 | 2024-01-26T15:17:43 | 2024-01-26T15:10:26 | {
"login": "kkoutini",
"id": 51880718,
"type": "User"
} | [] | true | [] |
2,020,702,967 | 6,463 | Disable benchmarks in PRs | In order to keep PR pages less spammy / more readable.
Having the benchmarks on commits on `main` is enough imo | closed | https://github.com/huggingface/datasets/pull/6463 | 2023-12-01T11:35:30 | 2023-12-01T12:09:09 | 2023-12-01T12:03:04 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,019,238,388 | 6,462 | Missing DatasetNotFoundError | continuation of https://github.com/huggingface/datasets/pull/6431
this should fix the CI in https://github.com/huggingface/datasets/pull/6458 too | closed | https://github.com/huggingface/datasets/pull/6462 | 2023-11-30T18:09:43 | 2023-11-30T18:36:40 | 2023-11-30T18:30:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,018,850,731 | 6,461 | Fix shard retry mechanism in `push_to_hub` | When it fails, `preupload_lfs_files` throws a [`RuntimeError`](https://github.com/huggingface/huggingface_hub/blob/5eefebee2c150a2df950ab710db350e96c711433/src/huggingface_hub/_commit_api.py#L402) error and chains the original HTTP error. This PR modifies the retry mechanism's error handling to account for that.
Fix... | closed | https://github.com/huggingface/datasets/pull/6461 | 2023-11-30T14:57:14 | 2023-12-01T17:57:39 | 2023-12-01T17:51:33 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,017,433,899 | 6,460 | jsonlines files don't load with `load_dataset` | ### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | closed | https://github.com/huggingface/datasets/issues/6460 | 2023-11-29T21:20:11 | 2023-12-29T02:58:29 | 2023-12-05T13:30:53 | {
"login": "serenalotreck",
"id": 41377532,
"type": "User"
} | [] | false | [] |
2,017,029,380 | 6,459 | Retrieve cached datasets that were pushed to hub when offline | I drafted the logic to retrieve a no-script dataset in the cache.
For example it can reload datasets that were pushed to hub if they exist in the cache.
example:
```python
>>> Dataset.from_dict({"a": [1, 2]}).push_to_hub("lhoestq/tmp")
>>> load_dataset("lhoestq/tmp")
DatasetDict({
train: Dataset({
... | closed | https://github.com/huggingface/datasets/pull/6459 | 2023-11-29T16:56:15 | 2024-03-25T13:55:42 | 2024-03-25T13:55:42 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,016,577,761 | 6,458 | Lazy data files resolution | Related to discussion at https://github.com/huggingface/datasets/pull/6255
this makes this code run in 2sec instead of >10sec
```python
from datasets import load_dataset
ds = load_dataset("glue", "sst2", streaming=True, trust_remote_code=False)
```
For some datasets with many configs and files it can be u... | closed | https://github.com/huggingface/datasets/pull/6458 | 2023-11-29T13:18:44 | 2024-02-08T14:41:35 | 2024-02-08T14:41:35 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,015,650,563 | 6,457 | `TypeError`: huggingface_hub.hf_file_system.HfFileSystem.find() got multiple values for keyword argument 'maxdepth' | ### Describe the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Steps to reproduce the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Expected behavior
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Environment info
Please s... | closed | https://github.com/huggingface/datasets/issues/6457 | 2023-11-29T01:57:36 | 2023-11-29T15:39:03 | 2023-11-29T02:02:38 | {
"login": "wasertech",
"id": 79070834,
"type": "User"
} | [] | false | [] |
2,015,186,090 | 6,456 | Don't require trust_remote_code in inspect_dataset | don't require `trust_remote_code` in (deprecated) `inspect_dataset` (it defeats its purpose)
(not super important but we might as well keep it until the next major release)
this is needed to fix the tests in https://github.com/huggingface/datasets/pull/6448 | closed | https://github.com/huggingface/datasets/pull/6456 | 2023-11-28T19:47:07 | 2023-11-30T10:40:23 | 2023-11-30T10:34:12 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,013,001,584 | 6,454 | Refactor `dill` logic | Refactor the `dill` logic to make it easier to maintain (and fix some issues along the way)
It makes the following improvements to the serialization API:
* consistent order of a `dict`'s keys
* support for hashing `torch.compile`-ed modules and functions
* deprecates `datasets.fingerprint.hashregister` as the `ha... | closed | https://github.com/huggingface/datasets/pull/6454 | 2023-11-27T20:01:25 | 2023-11-28T16:29:58 | 2023-11-28T16:29:31 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
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