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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,699,235,739 | 5,828 | Stream data concatenation issue | ### Describe the bug
I am not able to concatenate the augmentation of the stream data. I am using the latest version of dataset.
ValueError: The features can't be aligned because the key audio of features {'audio_id': Value(dtype='string',
id=None), 'audio': {'array': Sequence(feature=Value(dtype='float32', id=... | closed | https://github.com/huggingface/datasets/issues/5828 | 2023-05-07T21:02:54 | 2023-06-29T20:07:56 | 2023-05-10T05:05:47 | {
"login": "krishnapriya-18",
"id": 48817796,
"type": "User"
} | [] | false | [] |
1,698,891,246 | 5,827 | load json dataset interrupt when dtype cast problem occured | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
，which have several problematic rows data like row 2, then i load it with datasets.load_dataset('json', data_files=['xx.json'], split='train'), it will report like this:
... | open | https://github.com/huggingface/datasets/issues/5827 | 2023-05-07T04:52:09 | 2023-05-10T12:32:28 | null | {
"login": "1014661165",
"id": 46060451,
"type": "User"
} | [] | false | [] |
1,698,155,751 | 5,826 | Support working_dir in from_spark | Accept `working_dir` as an argument to `Dataset.from_spark`. Setting a non-NFS working directory for Spark workers to materialize to will improve write performance. | closed | https://github.com/huggingface/datasets/pull/5826 | 2023-05-05T20:22:40 | 2023-05-25T17:45:54 | 2023-05-25T08:46:15 | {
"login": "maddiedawson",
"id": 106995444,
"type": "User"
} | [] | true | [] |
1,697,327,483 | 5,825 | FileNotFound even though exists | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | closed | https://github.com/huggingface/datasets/issues/5825 | 2023-05-05T09:49:55 | 2023-08-16T10:02:01 | 2023-08-16T10:02:01 | {
"login": "Muennighoff",
"id": 62820084,
"type": "User"
} | [] | false | [] |
1,697,152,148 | 5,824 | Fix incomplete docstring for `BuilderConfig` | Fixes #5820
Also fixed a couple of typos I spotted | closed | https://github.com/huggingface/datasets/pull/5824 | 2023-05-05T07:34:28 | 2023-05-05T12:39:14 | 2023-05-05T12:31:54 | {
"login": "Laurent2916",
"id": 21087104,
"type": "User"
} | [] | true | [] |
1,697,024,789 | 5,823 | [2.12.0] DatasetDict.save_to_disk not saving to S3 | ### Describe the bug
When trying to save a `DatasetDict` to a private S3 bucket using `save_to_disk`, the artifacts are instead saved locally, and not in the S3 bucket.
I have tried using the deprecated `fs` as well as the `storage_options` arguments and I get the same results.
### Steps to reproduce the bug
1. C... | closed | https://github.com/huggingface/datasets/issues/5823 | 2023-05-05T05:22:59 | 2024-05-30T16:11:31 | 2023-05-05T15:01:17 | {
"login": "thejamesmarq",
"id": 5233185,
"type": "User"
} | [] | false | [] |
1,696,627,308 | 5,822 | Audio Dataset with_format torch problem | ### Describe the bug
Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
.with... | closed | https://github.com/huggingface/datasets/issues/5822 | 2023-05-04T20:07:51 | 2023-05-11T20:45:53 | 2023-05-11T20:45:53 | {
"login": "paulbauriegel",
"id": 20282916,
"type": "User"
} | [] | false | [] |
1,696,400,343 | 5,821 | IterableDataset Arrow formatting | Adding an optional `.iter_arrow` to examples iterable. This allows to use Arrow formatting in map/filter.
This will also be useful for torch formatting, since we can reuse the TorchFormatter that converts Arrow data to torch tensors
Related to https://github.com/huggingface/datasets/issues/5793 and https://github... | closed | https://github.com/huggingface/datasets/pull/5821 | 2023-05-04T17:23:43 | 2023-05-31T09:43:26 | 2023-05-31T09:36:18 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,695,892,811 | 5,820 | Incomplete docstring for `BuilderConfig` | Hi guys !
I stumbled upon this docstring while working on a project.
Some of the attributes have missing descriptions.
https://github.com/huggingface/datasets/blob/bc5fef5b6d91f009e4101684adcb374df2c170f6/src/datasets/builder.py#L104-L117 | closed | https://github.com/huggingface/datasets/issues/5820 | 2023-05-04T12:14:34 | 2023-05-05T12:31:56 | 2023-05-05T12:31:56 | {
"login": "Laurent2916",
"id": 21087104,
"type": "User"
} | [
{
"name": "good first issue",
"color": "7057ff"
}
] | false | [] |
1,695,536,738 | 5,819 | Cannot pickle error in Dataset.from_generator() | ### Describe the bug
I'm trying to use Dataset.from_generator() to generate a large dataset.
### Steps to reproduce the bug
Code to reproduce:
```
from transformers import T5Tokenizer, T5ForConditionalGeneration, GenerationConfig
import torch
from tqdm import tqdm
from datasets import load_dataset
tokenizer... | closed | https://github.com/huggingface/datasets/issues/5819 | 2023-05-04T08:39:09 | 2023-05-05T19:20:59 | 2023-05-05T19:20:58 | {
"login": "xinghaow99",
"id": 50691954,
"type": "User"
} | [] | false | [] |
1,695,052,555 | 5,818 | Ability to update a dataset | ### Feature request
The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
dataset.sav... | open | https://github.com/huggingface/datasets/issues/5818 | 2023-05-04T01:08:13 | 2023-05-04T20:43:39 | null | {
"login": "davidgilbertson",
"id": 4443482,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,694,891,866 | 5,817 | Setting `num_proc` errors when `.map` returns additional items. | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | closed | https://github.com/huggingface/datasets/issues/5817 | 2023-05-03T21:46:53 | 2023-05-04T21:14:21 | 2023-05-04T20:22:25 | {
"login": "davidgilbertson",
"id": 4443482,
"type": "User"
} | [] | false | [] |
1,694,590,856 | 5,816 | Preserve `stopping_strategy` of shuffled interleaved dataset (random cycling case) | Preserve the `stopping_strategy` in the `RandomlyCyclingMultiSourcesExamplesIterable.shard_data_sources` to fix shuffling a dataset interleaved (from multiple sources) with probabilities.
Fix #5812
| closed | https://github.com/huggingface/datasets/pull/5816 | 2023-05-03T18:34:18 | 2023-05-04T14:31:55 | 2023-05-04T14:24:49 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,693,216,778 | 5,814 | Repro windows crash | null | closed | https://github.com/huggingface/datasets/pull/5814 | 2023-05-02T23:30:18 | 2024-01-08T18:30:45 | 2024-01-08T18:30:45 | {
"login": "maddiedawson",
"id": 106995444,
"type": "User"
} | [] | true | [] |
1,693,701,743 | 5,815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | open | https://github.com/huggingface/datasets/issues/5815 | 2023-05-02T21:43:33 | 2023-07-26T16:13:31 | null | {
"login": "hrbigelow",
"id": 5355286,
"type": "User"
} | [] | false | [] |
1,691,908,535 | 5,813 | [DO-NOT-MERGE] Debug Windows issue at #3 | TBD | closed | https://github.com/huggingface/datasets/pull/5813 | 2023-05-02T07:19:34 | 2023-05-02T07:21:30 | 2023-05-02T07:21:30 | {
"login": "HyukjinKwon",
"id": 6477701,
"type": "User"
} | [] | true | [] |
1,691,798,169 | 5,812 | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | ### Describe the bug
Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
... | closed | https://github.com/huggingface/datasets/issues/5812 | 2023-05-02T05:26:17 | 2023-05-04T14:24:51 | 2023-05-04T14:24:51 | {
"login": "offchan42",
"id": 15215732,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
},
{
"name": "streaming",
"color": "fef2c0"
}
] | false | [] |
1,689,919,046 | 5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | ### Describe the bug
I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | open | https://github.com/huggingface/datasets/issues/5811 | 2023-04-30T13:27:17 | 2025-02-27T07:32:30 | null | {
"login": "durapensa",
"id": 50685483,
"type": "User"
} | [] | false | [] |
1,689,917,822 | 5,810 | Add `fn_kwargs` to `map` and `filter` of `IterableDataset` and `IterableDatasetDict` | # Overview
I've added an argument`fn_kwargs` for map and filter methods of `IterableDataset` and `IterableDatasetDict` classes.
# Details
Currently, the map and filter methods of some classes related to `IterableDataset` do not allow specifing the arguments passed to the function. This pull request adds `fn_kwargs... | closed | https://github.com/huggingface/datasets/pull/5810 | 2023-04-30T13:23:01 | 2023-05-22T08:12:39 | 2023-05-22T08:05:31 | {
"login": "yuukicammy",
"id": 3927621,
"type": "User"
} | [] | true | [] |
1,689,797,293 | 5,809 | wiki_dpr details for Open Domain Question Answering tasks | Hey guys!
Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | closed | https://github.com/huggingface/datasets/issues/5809 | 2023-04-30T06:12:04 | 2023-07-21T14:11:00 | 2023-07-21T14:11:00 | {
"login": "yulgok22",
"id": 64122846,
"type": "User"
} | [] | false | [] |
1,688,977,237 | 5,807 | Support parallelized downloading in load_dataset with Spark | As proposed in https://github.com/huggingface/datasets/issues/5798, this adds support to parallelized downloading in `load_dataset` with Spark, which can speed up the process by distributing the workload to worker nodes.
Parallelizing dataset processing is not supported in this PR. | closed | https://github.com/huggingface/datasets/pull/5807 | 2023-04-28T18:34:32 | 2023-05-25T16:54:14 | 2023-05-25T16:54:14 | {
"login": "es94129",
"id": 12763339,
"type": "User"
} | [] | true | [] |
1,688,598,095 | 5,806 | Return the name of the currently loaded file in the load_dataset function. | ### Feature request
Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may interrupt... | open | https://github.com/huggingface/datasets/issues/5806 | 2023-04-28T13:50:15 | 2025-03-21T12:07:15 | null | {
"login": "s-JoL",
"id": 16948304,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "good first issue",
"color": "7057ff"
}
] | false | [] |
1,688,558,577 | 5,805 | Improve `Create a dataset` tutorial | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required f... | open | https://github.com/huggingface/datasets/issues/5805 | 2023-04-28T13:26:22 | 2024-07-26T21:16:13 | null | {
"login": "polinaeterna",
"id": 16348744,
"type": "User"
} | [
{
"name": "documentation",
"color": "0075ca"
}
] | false | [] |
1,688,285,666 | 5,804 | Set dev version | null | closed | https://github.com/huggingface/datasets/pull/5804 | 2023-04-28T10:10:01 | 2023-04-28T10:18:51 | 2023-04-28T10:10:29 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,688,256,290 | 5,803 | Release: 2.12.0 | null | closed | https://github.com/huggingface/datasets/pull/5803 | 2023-04-28T09:52:11 | 2023-04-28T10:18:56 | 2023-04-28T09:54:43 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,686,509,799 | 5,802 | Validate non-empty data_files | This PR adds validation of `data_files`, so that they are non-empty (str, list, or dict) or `None` (default).
See: https://github.com/huggingface/datasets/pull/5787#discussion_r1178862327 | closed | https://github.com/huggingface/datasets/pull/5802 | 2023-04-27T09:51:36 | 2023-04-27T14:59:47 | 2023-04-27T14:51:40 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,686,348,096 | 5,800 | Change downloaded file permission based on umask | This PR changes the permission of downloaded files to cache, so that the umask is taken into account.
Related to:
- #2157
Fix #5799.
CC: @stas00 | closed | https://github.com/huggingface/datasets/pull/5800 | 2023-04-27T08:13:30 | 2023-04-27T09:33:05 | 2023-04-27T09:30:16 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,686,334,572 | 5,799 | Files downloaded to cache do not respect umask | As reported by @stas00, files downloaded to the cache do not respect umask:
```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | closed | https://github.com/huggingface/datasets/issues/5799 | 2023-04-27T08:06:05 | 2023-04-27T09:30:17 | 2023-04-27T09:30:17 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,685,904,526 | 5,798 | Support parallelized downloading and processing in load_dataset with Spark | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | open | https://github.com/huggingface/datasets/issues/5798 | 2023-04-27T00:16:11 | 2023-05-25T14:11:41 | null | {
"login": "es94129",
"id": 12763339,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,685,501,199 | 5,797 | load_dataset is case sentitive? | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | open | https://github.com/huggingface/datasets/issues/5797 | 2023-04-26T18:19:04 | 2023-04-27T11:56:58 | null | {
"login": "haonan-li",
"id": 34729065,
"type": "User"
} | [] | false | [] |
1,685,451,919 | 5,796 | Spark docs | Added a "Use with Spark" doc page to document `Dataset.from_spark` following https://github.com/huggingface/datasets/pull/5701
cc @maddiedawson | closed | https://github.com/huggingface/datasets/pull/5796 | 2023-04-26T17:39:43 | 2023-04-27T16:41:50 | 2023-04-27T16:34:45 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,685,414,505 | 5,795 | Fix spark imports | null | closed | https://github.com/huggingface/datasets/pull/5795 | 2023-04-26T17:09:32 | 2023-04-26T17:49:03 | 2023-04-26T17:39:12 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,685,196,061 | 5,794 | CI ZeroDivisionError | Sometimes when running our CI on Windows, we get a ZeroDivisionError:
```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - ZeroDivisionError: float division by zero
```
See for example:
- https://github.com/huggingface/datasets/actions/runs/4809358266/jobs/8560513110
- https:/... | closed | https://github.com/huggingface/datasets/issues/5794 | 2023-04-26T14:55:23 | 2024-05-17T09:12:11 | 2024-05-17T09:12:11 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,684,777,320 | 5,793 | IterableDataset.with_format("torch") not working | ### Describe the bug
After calling the with_format("torch") method on an IterableDataset instance, the data format is unchanged.
### Steps to reproduce the bug
```python
from datasets import IterableDataset
def gen():
for i in range(4):
yield {"a": [i] * 4}
dataset = IterableDataset.from_generator(g... | closed | https://github.com/huggingface/datasets/issues/5793 | 2023-04-26T10:50:23 | 2023-06-13T15:57:06 | 2023-06-13T15:57:06 | {
"login": "jiangwangyi",
"id": 39762734,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
},
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "streaming",
"color": "fef2c0"
}
] | false | [] |
1,683,473,943 | 5,791 | TIFF/TIF support | ### Feature request
I currently have a dataset (with tiff and json files) where I have to do this:
`wget path_to_data/images.zip && unzip images.zip`
`wget path_to_data/annotations.zip && unzip annotations.zip`
Would it make sense a contribution that supports these type of files?
### Motivation
instead o... | closed | https://github.com/huggingface/datasets/issues/5791 | 2023-04-25T16:14:18 | 2024-01-15T16:40:33 | 2024-01-15T16:40:16 | {
"login": "sebasmos",
"id": 31293221,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,683,229,126 | 5,790 | Allow to run CI on push to ci-branch | This PR allows to run the CI on push to a branch named "ci-*", without needing to open a PR.
- This will allow to make CI tests without opening a PR, e.g., for future `huggingface-hub` releases, future dependency releases (like `fsspec`, `pandas`,...)
Note that to build the documentation, we already allow it on pus... | closed | https://github.com/huggingface/datasets/pull/5790 | 2023-04-25T13:57:26 | 2023-04-26T13:43:08 | 2023-04-26T13:35:47 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,682,611,179 | 5,789 | Support streaming datasets that use jsonlines | Extend support for streaming datasets that use `jsonlines.open`.
Currently, if `jsonlines` is installed, `datasets` raises a `FileNotFoundError`:
```
FileNotFoundError: [Errno 2] No such file or directory: 'https://...'
```
See:
- https://huggingface.co/datasets/masakhane/afriqa/discussions/1 | open | https://github.com/huggingface/datasets/issues/5789 | 2023-04-25T07:40:02 | 2023-04-25T07:40:03 | null | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,681,136,256 | 5,788 | Prepare tests for hfh 0.14 | Related to the coming release of `huggingface_hub==0.14.0`. It will break some internal tests. The PR fixes these tests. Let's double-check the CI but I expect the fixed tests to be running fine with both `hfh<=0.13.4` and `hfh==0.14`. Worth case scenario, existing PRs will have to be rebased once this fix is merged.
... | closed | https://github.com/huggingface/datasets/pull/5788 | 2023-04-24T12:13:03 | 2023-04-25T14:32:56 | 2023-04-25T14:25:30 | {
"login": "Wauplin",
"id": 11801849,
"type": "User"
} | [] | true | [] |
1,680,965,959 | 5,787 | Fix inferring module for unsupported data files | This PR raises a FileNotFoundError instead:
```
FileNotFoundError: No (supported) data files or dataset script found in <dataset_name>
```
Fix #5785. | closed | https://github.com/huggingface/datasets/pull/5787 | 2023-04-24T10:44:50 | 2023-04-27T13:06:01 | 2023-04-27T12:57:28 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,680,957,070 | 5,786 | Multiprocessing in a `filter` or `map` function with a Pytorch model | ### Describe the bug
I am trying to use a Pytorch model loaded on CPUs with multiple processes with a `.map` or a `.filter` method.
Usually, when dealing with models that are non-pickable, creating a class such that the `map` function is the method `__call__`, and adding `reduce` helps to solve the problem.
Howe... | closed | https://github.com/huggingface/datasets/issues/5786 | 2023-04-24T10:38:07 | 2023-05-30T09:56:30 | 2023-04-24T10:43:58 | {
"login": "HugoLaurencon",
"id": 44556846,
"type": "User"
} | [] | false | [] |
1,680,956,964 | 5,785 | Unsupported data files raise TypeError: 'NoneType' object is not iterable | Currently, we raise a TypeError for unsupported data files:
```
TypeError: 'NoneType' object is not iterable
```
See:
- https://github.com/huggingface/datasets-server/issues/1073
We should give a more informative error message. | closed | https://github.com/huggingface/datasets/issues/5785 | 2023-04-24T10:38:03 | 2023-04-27T12:57:30 | 2023-04-27T12:57:30 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,680,950,726 | 5,784 | Raise subprocesses traceback when interrupting | When a subprocess hangs in `filter` or `map`, one should be able to get the subprocess' traceback when interrupting the main process. Right now it shows nothing.
To do so I `.get()` the subprocesses async results even the main process is stopped with e.g. `KeyboardInterrupt`. I added a timeout in case the subprocess... | closed | https://github.com/huggingface/datasets/pull/5784 | 2023-04-24T10:34:03 | 2023-04-26T16:04:42 | 2023-04-26T15:54:44 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,679,664,393 | 5,783 | Offset overflow while doing regex on a text column | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | open | https://github.com/huggingface/datasets/issues/5783 | 2023-04-22T19:12:03 | 2023-09-22T06:44:07 | null | {
"login": "nishanthcgit",
"id": 5066268,
"type": "User"
} | [] | false | [] |
1,679,622,367 | 5,782 | Support for various audio-loading backends instead of always relying on SoundFile | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | closed | https://github.com/huggingface/datasets/issues/5782 | 2023-04-22T17:09:25 | 2023-05-10T20:23:04 | 2023-05-10T20:23:04 | {
"login": "BoringDonut",
"id": 129098876,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,679,580,460 | 5,781 | Error using `load_datasets` | ### Describe the bug
I tried to load a dataset using the `datasets` library in a conda jupyter notebook and got the below error.
```
ImportError: dlopen(/Users/gilbertyoung/miniforge3/envs/review_sense/lib/python3.8/site-packages/scipy/sparse/linalg/_isolve/_iterative.cpython-38-darwin.so, 0x0002): Library not ... | closed | https://github.com/huggingface/datasets/issues/5781 | 2023-04-22T15:10:44 | 2023-05-02T23:41:25 | 2023-05-02T23:41:25 | {
"login": "gjyoungjr",
"id": 61463108,
"type": "User"
} | [] | false | [] |
1,679,367,149 | 5,780 | TypeError: 'NoneType' object does not support item assignment | command：
```
def load_datasets(formats, data_dir=datadir, data_files=datafile）：
dataset = load_dataset(formats, data_dir=datadir, data_files=datafile, split=split, streaming=True, **kwargs)
return dataset
raw_datasets = DatasetDict()
raw_datasets["train"] = load_datasets(“csv”, args.datadir, "train.csv", s... | closed | https://github.com/huggingface/datasets/issues/5780 | 2023-04-22T06:22:43 | 2023-04-23T08:49:18 | 2023-04-23T08:49:18 | {
"login": "ben-8878",
"id": 38179632,
"type": "User"
} | [] | false | [] |
1,678,669,865 | 5,779 | Call fs.makedirs in save_to_disk | We need to call `fs.makedirs` when saving a dataset using `save_to_disk`, because some fs implementations have actual directories (S3 and others don't)
Close https://github.com/huggingface/datasets/issues/5775 | closed | https://github.com/huggingface/datasets/pull/5779 | 2023-04-21T15:04:28 | 2023-04-26T12:20:01 | 2023-04-26T12:11:15 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,678,125,951 | 5,778 | Schrödinger's dataset_dict | ### Describe the bug
If you use load_dataset('json', data_files="path/test.json"), it will return DatasetDict({train:...}).
And if you use load_dataset("path"), it will return DatasetDict({test:...}).
Why can't the output behavior be unified?
### Steps to reproduce the bug
as description above.
### Expected b... | closed | https://github.com/huggingface/datasets/issues/5778 | 2023-04-21T08:38:12 | 2023-07-24T15:15:14 | 2023-07-24T15:15:14 | {
"login": "liujuncn",
"id": 902005,
"type": "User"
} | [] | false | [] |
1,677,655,969 | 5,777 | datasets.load_dataset("code_search_net", "python") : NotADirectoryError: [Errno 20] Not a directory | ### Describe the bug
While checking out the [tokenizer tutorial](https://huggingface.co/course/chapter6/2?fw=pt), i noticed getting an error while initially downloading the python dataset used in the examples.
The [collab with the error is here](https://colab.research.google.com/github/huggingface/notebooks/blob/ma... | closed | https://github.com/huggingface/datasets/issues/5777 | 2023-04-21T02:08:07 | 2023-06-05T05:49:52 | 2023-05-11T11:51:56 | {
"login": "ghost",
"id": 10137,
"type": "User"
} | [] | false | [] |
1,677,116,100 | 5,776 | Use Pandas' `read_json` in the JSON builder | Instead of PyArrow's `read_json`, we should use `pd.read_json` in the JSON builder for consistency with the CSV and SQL builders (e.g., to address https://github.com/huggingface/datasets/issues/5725).
In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still doesn... | open | https://github.com/huggingface/datasets/issues/5776 | 2023-04-20T17:15:49 | 2023-04-20T17:15:49 | null | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,677,089,901 | 5,775 | ArrowDataset.save_to_disk lost some logic of remote | ### Describe the bug
https://github.com/huggingface/datasets/blob/e7ce0ac60c7efc10886471932854903a7c19f172/src/datasets/arrow_dataset.py#L1371
Here is the bug point, when I want to save from a `DatasetDict` class and the items of the instance is like `[('train', Dataset({features: ..., num_rows: ...}))]` , there ... | closed | https://github.com/huggingface/datasets/issues/5775 | 2023-04-20T16:58:01 | 2023-04-26T12:11:36 | 2023-04-26T12:11:17 | {
"login": "Zoupers",
"id": 29817738,
"type": "User"
} | [] | false | [] |
1,676,716,662 | 5,774 | Fix style | Fix C419 issues | closed | https://github.com/huggingface/datasets/pull/5774 | 2023-04-20T13:21:32 | 2023-04-20T13:34:26 | 2023-04-20T13:24:28 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,675,984,633 | 5,773 | train_dataset does not implement __len__ | when train using data precessored by the datasets, I get follow warning and it leads to that I can not set epoch numbers:
`ValueError: The train_dataset does not implement __len__, max_steps has to be specified. The number of steps needs to be known in advance for the learning rate scheduler.` | open | https://github.com/huggingface/datasets/issues/5773 | 2023-04-20T04:37:05 | 2023-07-19T20:33:13 | null | {
"login": "ben-8878",
"id": 38179632,
"type": "User"
} | [] | false | [] |
1,675,033,510 | 5,772 | Fix JSON builder when missing keys in first row | Until now, the JSON builder only considered the keys present in the first element of the list:
- Either explicitly: by passing index 0 in `dataset[0].keys()`
- Or implicitly: `pa.Table.from_pylist(dataset)`, where "schema (default None): If not passed, will be inferred from the first row of the mapping values"
Thi... | closed | https://github.com/huggingface/datasets/pull/5772 | 2023-04-19T14:32:57 | 2023-04-21T06:45:13 | 2023-04-21T06:35:27 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,674,828,380 | 5,771 | Support cloud storage for loading datasets | ### Feature request
It seems that the the current implementation supports cloud storage only for `load_from_disk`. It would be nice if a similar functionality existed in `load_dataset`.
### Motivation
Motivation is pretty clear -- let users work with datasets located in the cloud.
### Your contribution
... | closed | https://github.com/huggingface/datasets/issues/5771 | 2023-04-19T12:43:53 | 2023-05-07T17:47:41 | 2023-05-07T17:47:41 | {
"login": "eli-osherovich",
"id": 2437102,
"type": "User"
} | [
{
"name": "duplicate",
"color": "cfd3d7"
},
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,673,581,555 | 5,770 | Add IterableDataset.from_spark | Follow-up from https://github.com/huggingface/datasets/pull/5701
Related issue: https://github.com/huggingface/datasets/issues/5678 | closed | https://github.com/huggingface/datasets/pull/5770 | 2023-04-18T17:47:53 | 2023-05-17T14:07:32 | 2023-05-17T14:00:38 | {
"login": "maddiedawson",
"id": 106995444,
"type": "User"
} | [] | true | [] |
1,673,441,182 | 5,769 | Tiktoken tokenizers are not pickable | ### Describe the bug
Since tiktoken tokenizer is not pickable, it is not possible to use it inside `dataset.map()` with multiprocessing enabled. However, you [made](https://github.com/huggingface/datasets/issues/5536) tiktoken's tokenizers pickable in `datasets==2.10.0` for caching. For some reason, this logic does no... | closed | https://github.com/huggingface/datasets/issues/5769 | 2023-04-18T16:07:40 | 2023-05-04T18:55:57 | 2023-05-04T18:55:57 | {
"login": "markovalexander",
"id": 22663468,
"type": "User"
} | [] | false | [] |
1,672,494,561 | 5,768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | closed | https://github.com/huggingface/datasets/issues/5768 | 2023-04-18T07:10:56 | 2023-04-20T10:27:23 | 2023-04-20T10:27:22 | {
"login": "yaseen157",
"id": 57412770,
"type": "User"
} | [] | false | [] |
1,672,433,979 | 5,767 | How to use Distill-BERT with different datasets? | ### Describe the bug
- `transformers` version: 4.11.3
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | closed | https://github.com/huggingface/datasets/issues/5767 | 2023-04-18T06:25:12 | 2023-04-20T16:52:05 | 2023-04-20T16:52:05 | {
"login": "sauravtii",
"id": 109907638,
"type": "User"
} | [] | false | [] |
1,671,485,882 | 5,766 | Support custom feature types | ### Feature request
I think it would be nice to allow registering custom feature types with the 🤗 Datasets library. For example, allow to do something along the following lines:
```
from datasets.features import register_feature_type # this would be a new function
@register_feature_type
class CustomFeature... | open | https://github.com/huggingface/datasets/issues/5766 | 2023-04-17T15:46:41 | 2024-03-10T11:11:22 | null | {
"login": "jmontalt",
"id": 37540982,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,671,388,824 | 5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | open | https://github.com/huggingface/datasets/issues/5765 | 2023-04-17T15:00:50 | 2023-04-25T13:50:45 | null | {
"login": "sauravtii",
"id": 109907638,
"type": "User"
} | [] | false | [] |
1,670,740,198 | 5,764 | ConnectionError: Couldn't reach https://www.dropbox.com/s/zts98j4vkqtsns6/aclImdb_v2.tar?dl=1 | ### Describe the bug
I want to use this (https://huggingface.co/datasets/josianem/imdb) dataset therefore I am trying to load it using the following code:
```
dataset = load_dataset("josianem/imdb")
```
The dataset is not getting loaded and gives the error message as the following:
```
Traceback (most rece... | closed | https://github.com/huggingface/datasets/issues/5764 | 2023-04-17T09:08:18 | 2023-04-18T07:18:20 | 2023-04-18T07:18:20 | {
"login": "sauravtii",
"id": 109907638,
"type": "User"
} | [] | false | [] |
1,670,476,302 | 5,763 | fix typo: "mow" -> "now" | I noticed a typo as I was reading the datasets documentation. This PR contains a trivial fix changing "mow" to "now." | closed | https://github.com/huggingface/datasets/pull/5763 | 2023-04-17T06:03:44 | 2023-04-17T15:01:53 | 2023-04-17T14:54:46 | {
"login": "csris",
"id": 1967608,
"type": "User"
} | [] | true | [] |
1,670,326,470 | 5,762 | Not able to load the pile | ### Describe the bug
Got this error when I am trying to load the pile dataset
```
TypeError: Couldn't cast array of type
struct<file: string, id: string>
to
{'id': Value(dtype='string', id=None)}
```
### Steps to reproduce the bug
Please visit the following sample notebook
https://colab.research.goo... | closed | https://github.com/huggingface/datasets/issues/5762 | 2023-04-17T03:09:10 | 2023-04-17T09:37:27 | 2023-04-17T09:37:27 | {
"login": "surya-narayanan",
"id": 17240858,
"type": "User"
} | [] | false | [] |
1,670,034,582 | 5,761 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory | ### Describe the bug
An attempt to generate a dataset from a zip archive using imagefolder and metadata.jsonl does not lead to the expected result. Tried all possible locations of the json file: the file in the archive is ignored (generated dataset contains only images), the file next to the archive like [here](http... | open | https://github.com/huggingface/datasets/issues/5761 | 2023-04-16T16:21:55 | 2023-04-19T11:53:24 | null | {
"login": "blghtr",
"id": 69686152,
"type": "User"
} | [] | false | [] |
1,670,028,072 | 5,760 | Multi-image loading in Imagefolder dataset | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | open | https://github.com/huggingface/datasets/issues/5760 | 2023-04-16T16:01:05 | 2024-12-01T11:16:09 | null | {
"login": "vvvm23",
"id": 44398246,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,669,977,848 | 5,759 | Can I load in list of list of dict format? | ### Feature request
my jsonl dataset has following format:
```
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
```
I try to use `datasets.load_dataset('json', data_files=path)` or `datasets.Dataset.from_json`, it raises
```
File "site-p... | open | https://github.com/huggingface/datasets/issues/5759 | 2023-04-16T13:50:14 | 2023-04-19T12:04:36 | null | {
"login": "LZY-the-boys",
"id": 72137647,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,669,920,923 | 5,758 | Fixes #5757 | Fixes the bug #5757 | closed | https://github.com/huggingface/datasets/pull/5758 | 2023-04-16T11:56:01 | 2023-04-20T15:37:49 | 2023-04-20T15:30:48 | {
"login": "eli-osherovich",
"id": 2437102,
"type": "User"
} | [] | true | [] |
1,669,910,503 | 5,757 | Tilde (~) is not supported | ### Describe the bug
It seems that `~` is not recognized correctly in local paths. Whenever I try to use it I get an exception
### Steps to reproduce the bug
```python
load_dataset("imagefolder", data_dir="~/data/my_dataset")
```
Will generate the following error:
```
EmptyDatasetError: The directory at ... | closed | https://github.com/huggingface/datasets/issues/5757 | 2023-04-16T11:48:10 | 2023-04-20T15:30:51 | 2023-04-20T15:30:51 | {
"login": "eli-osherovich",
"id": 2437102,
"type": "User"
} | [] | false | [] |
1,669,678,080 | 5,756 | Calling shuffle on a IterableDataset with streaming=True, gives "ValueError: cannot reshape array" | ### Describe the bug
When calling shuffle on a IterableDataset with streaming=True, I get the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/administrator/Documents/Projects/huggingface/jax-diffusers-sprint-consistency-models/virtualenv/lib/python3.1... | closed | https://github.com/huggingface/datasets/issues/5756 | 2023-04-16T04:59:47 | 2023-04-18T03:40:56 | 2023-04-18T03:40:56 | {
"login": "rohfle",
"id": 21077341,
"type": "User"
} | [] | false | [] |
1,669,048,438 | 5,755 | ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils' | ### Describe the bug
The module moved to new place?
### Steps to reproduce the bug
in the import step,
```python
from datasets.utils.deprecation_utils import DeprecatedEnum
```
error:
```
ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils'
```
### Expected behavior... | closed | https://github.com/huggingface/datasets/issues/5755 | 2023-04-14T23:28:54 | 2023-04-14T23:36:19 | 2023-04-14T23:36:19 | {
"login": "fivejjs",
"id": 1405491,
"type": "User"
} | [] | false | [] |
1,668,755,035 | 5,754 | Minor tqdm fixes | `GeneratorBasedBuilder`'s TQDM bars were not used as context managers. This PR fixes that (missed these bars in https://github.com/huggingface/datasets/pull/5560).
Also, this PR modifies the single-proc `save_to_disk` to fix the issue with the TQDM bar not accumulating the progress in the multi-shard setting (again... | closed | https://github.com/huggingface/datasets/pull/5754 | 2023-04-14T18:15:14 | 2023-04-20T15:27:58 | 2023-04-20T15:21:00 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,668,659,536 | 5,753 | [IterableDatasets] Add column followed by interleave datasets gives bogus outputs | ### Describe the bug
If we add a new column to our iterable dataset using the hack described in #5752, when we then interleave datasets the new column is pinned to one value.
### Steps to reproduce the bug
What we're going to do here is:
1. Load an iterable dataset in streaming mode (`original_dataset`)
2. A... | closed | https://github.com/huggingface/datasets/issues/5753 | 2023-04-14T17:32:31 | 2025-07-04T05:22:53 | 2023-04-14T17:36:37 | {
"login": "sanchit-gandhi",
"id": 93869735,
"type": "User"
} | [] | false | [] |
1,668,574,209 | 5,752 | Streaming dataset looses `.feature` method after `.add_column` | ### Describe the bug
After appending a new column to a streaming dataset using `.add_column`, we can no longer access the list of dataset features using the `.feature` method.
### Steps to reproduce the bug
```python
from datasets import load_dataset
original_dataset = load_dataset("librispeech_asr", "clean", sp... | open | https://github.com/huggingface/datasets/issues/5752 | 2023-04-14T16:39:50 | 2024-01-18T10:15:20 | null | {
"login": "sanchit-gandhi",
"id": 93869735,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,668,333,316 | 5,751 | Consistent ArrayXD Python formatting + better NumPy/Pandas formatting | Return a list of lists instead of a list of NumPy arrays when converting the variable-shaped `ArrayXD` to Python. Additionally, improve the NumPy conversion by returning a numeric NumPy array when the offsets are equal or a NumPy object array when they aren't, and allow converting the variable-shaped `ArrayXD` to Panda... | closed | https://github.com/huggingface/datasets/pull/5751 | 2023-04-14T14:13:59 | 2023-04-20T14:43:20 | 2023-04-20T14:40:34 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,668,289,067 | 5,750 | Fail to create datasets from a generator when using Google Big Query | ### Describe the bug
Creating a dataset from a generator using `Dataset.from_generator()` fails if the generator is the [Google Big Query Python client](https://cloud.google.com/python/docs/reference/bigquery/latest). The problem is that the Big Query client is not pickable. And the function `create_config_id` tries t... | closed | https://github.com/huggingface/datasets/issues/5750 | 2023-04-14T13:50:59 | 2023-04-17T12:20:43 | 2023-04-17T12:20:43 | {
"login": "ivanprado",
"id": 895720,
"type": "User"
} | [] | false | [] |
1,668,016,321 | 5,749 | AttributeError: 'Version' object has no attribute 'match' | ### Describe the bug
When I run
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descriptions_v1.2.0')
AttributeError: 'Version' object has no attribute 'match'
### Steps to reproduce the bug
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descripti... | closed | https://github.com/huggingface/datasets/issues/5749 | 2023-04-14T10:48:06 | 2023-06-30T11:31:17 | 2023-04-18T12:57:08 | {
"login": "gulnaz-zh",
"id": 54584290,
"type": "User"
} | [] | false | [] |
1,667,517,024 | 5,748 | [BUG FIX] Issue 5739 | A fix for https://github.com/huggingface/datasets/issues/5739 | open | https://github.com/huggingface/datasets/pull/5748 | 2023-04-14T05:07:31 | 2023-04-14T05:07:31 | null | {
"login": "airlsyn",
"id": 1772912,
"type": "User"
} | [] | true | [] |
1,667,270,412 | 5,747 | [WIP] Add Dataset.to_spark | null | closed | https://github.com/huggingface/datasets/pull/5747 | 2023-04-13T23:20:03 | 2024-01-08T18:31:50 | 2024-01-08T18:31:50 | {
"login": "maddiedawson",
"id": 106995444,
"type": "User"
} | [] | true | [] |
1,667,102,459 | 5,746 | Fix link in docs | Fixes a broken link in the use_with_pytorch docs | closed | https://github.com/huggingface/datasets/pull/5746 | 2023-04-13T20:45:19 | 2023-04-14T13:15:38 | 2023-04-14T13:08:42 | {
"login": "bbbxyz",
"id": 7485661,
"type": "User"
} | [] | true | [] |
1,667,086,143 | 5,745 | [BUG FIX] Issue 5744 | A temporal fix for https://github.com/huggingface/datasets/issues/5744. | open | https://github.com/huggingface/datasets/pull/5745 | 2023-04-13T20:29:55 | 2023-04-21T15:22:43 | null | {
"login": "keyboardAnt",
"id": 15572698,
"type": "User"
} | [] | true | [] |
1,667,076,620 | 5,744 | [BUG] With Pandas 2.0.0, `load_dataset` raises `TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'` | The `load_dataset` function with Pandas `1.5.3` has no issue (just a FutureWarning) but crashes with Pandas `2.0.0`.
For your convenience, I opened a draft Pull Request to fix it quickly: https://github.com/huggingface/datasets/pull/5745
---
* The FutureWarning mentioned above:
```
FutureWarning: the 'mangle_... | closed | https://github.com/huggingface/datasets/issues/5744 | 2023-04-13T20:21:28 | 2024-04-09T16:13:59 | 2023-07-06T17:01:59 | {
"login": "keyboardAnt",
"id": 15572698,
"type": "User"
} | [] | false | [] |
1,666,843,832 | 5,743 | dataclass.py in virtual environment is overriding the stdlib module "dataclasses" | ### Describe the bug
"e:\Krish_naik\FSDSRegression\venv\Lib\dataclasses.py" is overriding the stdlib module "dataclasses"
### Steps to reproduce the bug
module issue
### Expected behavior
overriding the stdlib module "dataclasses"
### Environment info
VS code | closed | https://github.com/huggingface/datasets/issues/5743 | 2023-04-13T17:28:33 | 2023-04-17T12:23:18 | 2023-04-17T12:23:18 | {
"login": "syedabdullahhassan",
"id": 71216295,
"type": "User"
} | [] | false | [] |
1,666,209,738 | 5,742 | Warning specifying future change in to_tf_dataset behaviour | Warning specifying future changes happening to `to_tf_dataset` behaviour when #5602 is merged in | closed | https://github.com/huggingface/datasets/pull/5742 | 2023-04-13T11:10:00 | 2023-04-21T13:18:14 | 2023-04-21T13:11:09 | {
"login": "amyeroberts",
"id": 22614925,
"type": "User"
} | [] | true | [] |
1,665,860,919 | 5,741 | Fix CI warnings | Fix warnings in our CI tests. | closed | https://github.com/huggingface/datasets/pull/5741 | 2023-04-13T07:17:02 | 2023-04-13T09:48:10 | 2023-04-13T09:40:50 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,664,132,130 | 5,740 | Fix CI mock filesystem fixtures | This PR fixes the fixtures of our CI mock filesystems.
Before, we had to pass `clobber=True` to `fsspec.register_implementation` to overwrite the still present previously added "mock" filesystem. That meant that the mock filesystem fixture was not working properly, because the previously added "mock" filesystem, sho... | closed | https://github.com/huggingface/datasets/pull/5740 | 2023-04-12T08:52:35 | 2023-04-13T11:01:24 | 2023-04-13T10:54:13 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,663,762,901 | 5,739 | weird result during dataset split when data path starts with `/data` | ### Describe the bug
The regex defined here https://github.com/huggingface/datasets/blob/f2607935c4e45c70c44fcb698db0363ca7ba83d4/src/datasets/utils/py_utils.py#L158
will cause a weird result during dataset split when data path starts with `/data`
### Steps to reproduce the bug
1. clone dataset into local path
... | open | https://github.com/huggingface/datasets/issues/5739 | 2023-04-12T04:51:35 | 2023-04-21T14:20:59 | null | {
"login": "airlsyn",
"id": 1772912,
"type": "User"
} | [] | false | [] |
1,663,477,690 | 5,738 | load_dataset("text","dataset.txt") loads the wrong dataset! | ### Describe the bug
I am trying to load my own custom text dataset using the load_dataset function. My dataset is a bunch of ordered text, think along the lines of shakespeare plays. However, after I load the dataset and I inspect it, the dataset is a table with a bunch of latitude and longitude values! What in th... | closed | https://github.com/huggingface/datasets/issues/5738 | 2023-04-12T01:07:46 | 2023-04-19T12:08:27 | 2023-04-19T12:08:27 | {
"login": "Tylersuard",
"id": 41713505,
"type": "User"
} | [] | false | [] |
1,662,919,811 | 5,737 | ClassLabel Error | ### Describe the bug
I still getting the error "call() takes 1 positional argument but 2 were given" even after ensuring that the value being passed to the label object is a single value and that the ClassLabel object has been created with the correct number of label classes
### Steps to reproduce the bug
from... | closed | https://github.com/huggingface/datasets/issues/5737 | 2023-04-11T17:14:13 | 2023-04-13T16:49:57 | 2023-04-13T16:49:57 | {
"login": "mrcaelumn",
"id": 10896776,
"type": "User"
} | [] | false | [] |
1,662,286,061 | 5,736 | FORCE_REDOWNLOAD raises "Directory not empty" exception on second run | ### Describe the bug
Running `load_dataset(..., download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)` twice raises a `Directory not empty` exception on the second run.
### Steps to reproduce the bug
I cannot test this on datasets v2.11.0 due to #5711, but this happens in v2.10.1.
1. Set up a script `my_dataset.p... | open | https://github.com/huggingface/datasets/issues/5736 | 2023-04-11T11:29:15 | 2023-11-30T07:16:58 | null | {
"login": "rcasero",
"id": 1219084,
"type": "User"
} | [] | false | [] |
1,662,150,903 | 5,735 | Implement sharding on merged iterable datasets | This PR allows sharding of merged iterable datasets.
Merged iterable datasets with for instance the `interleave_datasets` command are comprised of multiple sub-iterable, one for each dataset that has been merged.
With this PR, sharding a merged iterable will result in multiple merged datasets each comprised of sh... | closed | https://github.com/huggingface/datasets/pull/5735 | 2023-04-11T10:02:25 | 2023-04-27T16:39:04 | 2023-04-27T16:32:09 | {
"login": "bruno-hays",
"id": 48770768,
"type": "User"
} | [] | true | [] |
1,662,058,028 | 5,734 | Remove temporary pin of fsspec | Once root cause is found and fixed, remove the temporary pin introduced by:
- #5731 | closed | https://github.com/huggingface/datasets/issues/5734 | 2023-04-11T09:04:17 | 2023-04-11T11:04:52 | 2023-04-11T11:04:52 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,662,039,191 | 5,733 | Unpin fsspec | In `fsspec--2023.4.0` default value for clobber when registering an implementation was changed from True to False. See:
- https://github.com/fsspec/filesystem_spec/pull/1237
This PR recovers previous behavior by passing clobber True when registering mock implementations.
This PR also removes the temporary pin in... | closed | https://github.com/huggingface/datasets/pull/5733 | 2023-04-11T08:52:12 | 2023-04-11T11:11:45 | 2023-04-11T11:04:51 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,662,020,571 | 5,732 | Enwik8 should support the standard split | ### Feature request
The HuggingFace Datasets library currently supports two BuilderConfigs for Enwik8. One config yields individual lines as examples, while the other config yields the entire dataset as a single example. Both support only a monolithic split: it is all grouped as "train".
The HuggingFace Datasets l... | closed | https://github.com/huggingface/datasets/issues/5732 | 2023-04-11T08:38:53 | 2023-04-11T09:28:17 | 2023-04-11T09:28:16 | {
"login": "lucaslingle",
"id": 10287371,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,662,012,913 | 5,731 | Temporarily pin fsspec | Fix #5730. | closed | https://github.com/huggingface/datasets/pull/5731 | 2023-04-11T08:33:15 | 2023-04-11T08:57:45 | 2023-04-11T08:47:55 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,662,007,926 | 5,730 | CI is broken: ValueError: Name (mock) already in the registry and clobber is False | CI is broken for `test_py310`.
See: https://github.com/huggingface/datasets/actions/runs/4665326892/jobs/8258580948
```
=========================== short test summary info ============================
ERROR tests/test_builder.py::test_builder_with_filesystem_download_and_prepare - ValueError: Name (mock) already ... | closed | https://github.com/huggingface/datasets/issues/5730 | 2023-04-11T08:29:46 | 2023-04-11T08:47:56 | 2023-04-11T08:47:56 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,661,929,923 | 5,729 | Fix nondeterministic sharded data split order | This PR makes the order of the split names deterministic. Before it was nondeterministic because we were iterating over `set` elements.
Fix #5728. | closed | https://github.com/huggingface/datasets/pull/5729 | 2023-04-11T07:34:20 | 2023-04-26T15:12:25 | 2023-04-26T15:05:12 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,661,925,932 | 5,728 | The order of data split names is nondeterministic | After this CI error: https://github.com/huggingface/datasets/actions/runs/4639528358/jobs/8210492953?pr=5718
```
FAILED tests/test_data_files.py::test_get_data_files_patterns[data_file_per_split4] - AssertionError: assert ['random', 'train'] == ['train', 'random']
At index 0 diff: 'random' != 'train'
Full diff:... | closed | https://github.com/huggingface/datasets/issues/5728 | 2023-04-11T07:31:25 | 2023-04-26T15:05:13 | 2023-04-26T15:05:13 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,661,536,363 | 5,727 | load_dataset fails with FileNotFound error on Windows | ### Describe the bug
Although I can import and run the datasets library in a Colab environment, I cannot successfully load any data on my own machine (Windows 10) despite following the install steps:
(1) create conda environment
(2) activate environment
(3) install with: ``conda` install -c huggingface -c conda-... | closed | https://github.com/huggingface/datasets/issues/5727 | 2023-04-10T23:21:12 | 2023-07-21T14:08:20 | 2023-07-21T14:08:19 | {
"login": "joelkowalewski",
"id": 122648572,
"type": "User"
} | [] | false | [] |
1,660,944,807 | 5,726 | Fallback JSON Dataset loading does not load all values when features specified manually | ### Describe the bug
The fallback JSON dataset loader located here:
https://github.com/huggingface/datasets/blob/1c4ec00511868bd881e84a6f7e0333648d833b8e/src/datasets/packaged_modules/json/json.py#L130-L153
does not load the values of features correctly when features are specified manually and not all features... | closed | https://github.com/huggingface/datasets/issues/5726 | 2023-04-10T15:22:14 | 2023-04-21T06:35:28 | 2023-04-21T06:35:28 | {
"login": "myluki2000",
"id": 3610788,
"type": "User"
} | [] | false | [] |
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