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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,468,352,562 | 5,312 | Add DatasetDict.to_pandas | From discussions in https://github.com/huggingface/datasets/issues/5189, for tabular data it doesn't really make sense to have to do
```python
df = load_dataset(...)["train"].to_pandas()
```
because many datasets are not split.
In this PR I added `to_pandas` to `DatasetDict` which returns the DataFrame:
If th... | closed | https://github.com/huggingface/datasets/pull/5312 | 2022-11-29T16:30:02 | 2023-09-24T10:06:19 | 2023-01-25T17:33:42 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,467,875,153 | 5,311 | Add `features` param to `IterableDataset.map` | ## Description
As suggested by @lhoestq in #3888, we should be adding the param `features` to `IterableDataset.map` so that the features can be preserved (not turned into `None` as that's the default behavior) whenever the user passes those as param, so as to be consistent with `Dataset.map`, as it provides the `fea... | closed | https://github.com/huggingface/datasets/pull/5311 | 2022-11-29T11:08:34 | 2022-12-06T15:45:02 | 2022-12-06T15:42:04 | {
"login": "alvarobartt",
"id": 36760800,
"type": "User"
} | [] | true | [] |
1,467,719,635 | 5,310 | Support xPath for Windows pathnames | This PR implements a string representation of `xPath`, which is valid for local paths (also windows) and remote URLs.
Additionally, some `os.path` methods are fixed for remote URLs on Windows machines.
Now, on Windows machines:
```python
In [2]: str(xPath("C:\\dir\\file.txt"))
Out[2]: 'C:\\dir\\file.txt'
In [... | closed | https://github.com/huggingface/datasets/pull/5310 | 2022-11-29T09:20:47 | 2022-11-30T12:00:09 | 2022-11-30T11:57:16 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,466,758,987 | 5,309 | Close stream in `ArrowWriter.finalize` before inference error | Ensure the file stream is closed in `ArrowWriter.finalize` before raising the `SchemaInferenceError` to avoid the `PermissionError` on Windows in `incomplete_dir`'s `shutil.rmtree`. | closed | https://github.com/huggingface/datasets/pull/5309 | 2022-11-28T16:59:39 | 2022-12-07T12:55:20 | 2022-12-07T12:52:15 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,466,552,281 | 5,308 | Support `topdown` parameter in `xwalk` | Add support for the `topdown` parameter in `xwalk` when `fsspec>=2022.11.0` is installed. | closed | https://github.com/huggingface/datasets/pull/5308 | 2022-11-28T14:42:41 | 2022-12-09T12:58:55 | 2022-12-09T12:55:59 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,466,477,427 | 5,307 | Use correct dataset type in `from_generator` docs | Use the correct dataset type in the `from_generator` docs (example with sharding). | closed | https://github.com/huggingface/datasets/pull/5307 | 2022-11-28T13:59:10 | 2022-11-28T15:30:37 | 2022-11-28T15:27:26 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,465,968,639 | 5,306 | Can't use custom feature description when loading a dataset | ### Describe the bug
I have created a feature dictionary to describe my datasets' column types, to use when loading the dataset, following [the doc](https://huggingface.co/docs/datasets/main/en/about_dataset_features). It crashes at dataset load.
### Steps to reproduce the bug
```python
# Creating features
task_... | closed | https://github.com/huggingface/datasets/issues/5306 | 2022-11-28T07:55:44 | 2022-11-28T08:11:45 | 2022-11-28T08:11:44 | {
"login": "clefourrier",
"id": 22726840,
"type": "User"
} | [] | false | [] |
1,465,627,826 | 5,305 | Dataset joelito/mc4_legal does not work with multiple files | ### Describe the bug
The dataset https://huggingface.co/datasets/joelito/mc4_legal works for languages like bg with a single data file, but not for languages with multiple files like de. It shows zero rows for the de dataset.
joelniklaus@Joels-MacBook-Pro ~/N/P/C/L/p/m/mc4_legal (main) [1]> python test_mc4_legal.... | closed | https://github.com/huggingface/datasets/issues/5305 | 2022-11-28T00:16:16 | 2022-11-28T07:22:42 | 2022-11-28T07:22:42 | {
"login": "JoelNiklaus",
"id": 3775944,
"type": "User"
} | [] | false | [] |
1,465,110,367 | 5,304 | timit_asr doesn't load the test split. | ### Describe the bug
When I use the function ```timit = load_dataset('timit_asr', data_dir=data_dir)```, it only loads train split, not test split.
I tried to change the directory and filename to lower case to upper case for the test split, but it does not work at all.
```python
DatasetDict({
train: Datase... | closed | https://github.com/huggingface/datasets/issues/5304 | 2022-11-26T10:18:22 | 2023-02-10T16:33:21 | 2023-02-10T16:33:21 | {
"login": "seyong92",
"id": 17842800,
"type": "User"
} | [] | false | [] |
1,464,837,251 | 5,303 | Skip dataset verifications by default | Skip the dataset verifications (split and checksum verifications, duplicate keys check) by default unless a dataset is being tested (`datasets-cli test/run_beam`). The main goal is to avoid running the checksum check in the default case due to how expensive it can be for large datasets.
PS: Maybe we should deprecate... | closed | https://github.com/huggingface/datasets/pull/5303 | 2022-11-25T18:39:09 | 2023-02-13T16:50:42 | 2023-02-13T16:43:47 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,464,778,901 | 5,302 | Improve `use_auth_token` docstring and deprecate `use_auth_token` in `download_and_prepare` | Clarify in the docstrings what happens when `use_auth_token` is `None` and deprecate the `use_auth_token` param in `download_and_prepare`. | closed | https://github.com/huggingface/datasets/pull/5302 | 2022-11-25T17:09:21 | 2022-12-09T14:20:15 | 2022-12-09T14:17:20 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,464,749,156 | 5,301 | Return a split Dataset in load_dataset | ...instead of a DatasetDict.
```python
# now supported
ds = load_dataset("squad")
ds[0]
for example in ds:
pass
# still works
ds["train"]
ds["validation"]
# new
ds.splits # Dict[str, Dataset] | None
# soon to be supported (not in this PR)
ds = load_dataset("dataset_with_no_splits")
ds[0]
f... | closed | https://github.com/huggingface/datasets/pull/5301 | 2022-11-25T16:35:54 | 2023-09-24T10:06:15 | 2023-02-21T13:13:13 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,464,697,136 | 5,300 | Use same `num_proc` for dataset download and generation | Use the same `num_proc` value for data download and generation. Additionally, do not set `num_proc` to 16 in `DownloadManager` by default (`num_proc` now has to be specified explicitly). | closed | https://github.com/huggingface/datasets/pull/5300 | 2022-11-25T15:37:42 | 2022-12-07T12:55:39 | 2022-12-07T12:52:51 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,464,695,091 | 5,299 | Fix xopen for Windows pathnames | This PR fixes a bug in `xopen` function for Windows pathnames.
Fix #5298. | closed | https://github.com/huggingface/datasets/pull/5299 | 2022-11-25T15:35:28 | 2022-11-29T08:23:58 | 2022-11-29T08:21:24 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,464,681,871 | 5,298 | Bug in xopen with Windows pathnames | Currently, `xopen` function has a bug with local Windows pathnames:
From its implementation:
```python
def xopen(file: str, mode="r", *args, **kwargs):
file = _as_posix(PurePath(file))
main_hop, *rest_hops = file.split("::")
if is_local_path(main_hop):
return open(file, mode, *args, **kwarg... | closed | https://github.com/huggingface/datasets/issues/5298 | 2022-11-25T15:21:32 | 2022-11-29T08:21:25 | 2022-11-29T08:21:25 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,464,554,491 | 5,297 | Fix xjoin for Windows pathnames | This PR fixes a bug in `xjoin` function with Windows pathnames.
Fix #5296. | closed | https://github.com/huggingface/datasets/pull/5297 | 2022-11-25T13:30:17 | 2022-11-29T08:07:39 | 2022-11-29T08:05:12 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,464,553,580 | 5,296 | Bug in xjoin with Windows pathnames | Currently, `xjoin` function has a bug with local Windows pathnames: instead of returning the OS-dependent join pathname, it always returns it in POSIX format.
```python
from datasets.download.streaming_download_manager import xjoin
path = xjoin("C:\\Users\\USERNAME", "filename.txt")
```
Join path should be:
... | closed | https://github.com/huggingface/datasets/issues/5296 | 2022-11-25T13:29:33 | 2022-11-29T08:05:13 | 2022-11-29T08:05:13 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,464,006,743 | 5,295 | Extractions failed when .zip file located on read-only path (e.g., SageMaker FastFile mode) | ### Describe the bug
Hi,
`load_dataset()` does not work .zip files located on a read-only directory. Looks like it's because Dataset creates a lock file in the [same directory](https://github.com/huggingface/datasets/blob/df4bdd365f2abb695f113cbf8856a925bc70901b/src/datasets/utils/extract.py) as the .zip file.
... | closed | https://github.com/huggingface/datasets/issues/5295 | 2022-11-25T03:59:43 | 2023-07-21T14:39:09 | 2023-07-21T14:39:09 | {
"login": "verdimrc",
"id": 2340781,
"type": "User"
} | [] | false | [] |
1,463,679,582 | 5,294 | Support streaming datasets with pathlib.Path.with_suffix | This PR extends the support in streaming mode for datasets that use `pathlib.Path.with_suffix`.
Fix #5293. | closed | https://github.com/huggingface/datasets/pull/5294 | 2022-11-24T18:04:38 | 2022-11-29T07:09:08 | 2022-11-29T07:06:32 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,463,669,201 | 5,293 | Support streaming datasets with pathlib.Path.with_suffix | Extend support for streaming datasets that use `pathlib.Path.with_suffix`.
This feature will be useful e.g. for datasets containing text files and annotated files with the same name but different extension. | closed | https://github.com/huggingface/datasets/issues/5293 | 2022-11-24T17:52:08 | 2022-11-29T07:06:33 | 2022-11-29T07:06:33 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,463,053,832 | 5,292 | Missing documentation build for versions 2.7.1 and 2.6.2 | After the patch releases [2.7.1](https://github.com/huggingface/datasets/releases/tag/2.7.1) and [2.6.2](https://github.com/huggingface/datasets/releases/tag/2.6.2), the online docs were not properly built (the build_documentation workflow was not triggered).
There was a fix by:
- #5291
However, both documentati... | closed | https://github.com/huggingface/datasets/issues/5292 | 2022-11-24T09:42:10 | 2022-11-24T10:10:02 | 2022-11-24T10:10:02 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "maintenance",
"color": "d4c5f9"
}
] | false | [] |
1,462,983,472 | 5,291 | [build doc] for v2.7.1 & v2.6.2 | Do NOT merge. Using this PR to build docs for [v2.7.1](https://github.com/huggingface/datasets/pull/5291/commits/f4914af20700f611b9331a9e3ba34743bbeff934) & [v2.6.2](https://github.com/huggingface/datasets/pull/5291/commits/025f85300a0874eeb90a20393c62f25ac0accaa0) | closed | https://github.com/huggingface/datasets/pull/5291 | 2022-11-24T08:54:47 | 2022-11-24T09:14:10 | 2022-11-24T09:11:15 | {
"login": "mishig25",
"id": 11827707,
"type": "User"
} | [] | true | [] |
1,462,716,766 | 5,290 | fix error where reading breaks when batch missing an assigned column feature | null | open | https://github.com/huggingface/datasets/pull/5290 | 2022-11-24T03:53:46 | 2022-11-25T03:21:54 | null | {
"login": "eunseojo",
"id": 12104720,
"type": "User"
} | [] | true | [] |
1,462,543,139 | 5,289 | Added support for JXL images. | JPEG-XL is the most advanced of the next-generation of image codecs, supporting both lossless and lossy files — with better compression and quality than PNG and JPG respectively. It has reduced the disk sizes and bandwidth required for many of the datasets I use.
Pillow does not yet support JXL, but there's a plugi... | open | https://github.com/huggingface/datasets/pull/5289 | 2022-11-23T23:16:33 | 2022-11-29T18:49:46 | null | {
"login": "alexjc",
"id": 445208,
"type": "User"
} | [] | true | [] |
1,462,134,067 | 5,288 | Lossy json serialization - deserialization of dataset info | ### Describe the bug
Saving a dataset to disk as json (using `to_json`) and then loading it again (using `load_dataset`) results in features whose labels are not type-cast correctly. In the code snippet below, `features.label` should have a label of type `ClassLabel` but has type `Value` instead.
### Steps to re... | open | https://github.com/huggingface/datasets/issues/5288 | 2022-11-23T17:20:15 | 2022-11-25T12:53:51 | null | {
"login": "anuragprat1k",
"id": 57542204,
"type": "User"
} | [] | false | [] |
1,461,971,889 | 5,287 | Fix methods using `IterableDataset.map` that lead to `features=None` | As currently `IterableDataset.map` is setting the `info.features` to `None` every time as we don't know the output of the dataset in advance, `IterableDataset` methods such as `rename_column`, `rename_columns`, and `remove_columns`. that internally use `map` lead to the features being `None`.
This PR is related to #... | closed | https://github.com/huggingface/datasets/pull/5287 | 2022-11-23T15:33:25 | 2022-11-28T15:43:14 | 2022-11-28T12:53:22 | {
"login": "alvarobartt",
"id": 36760800,
"type": "User"
} | [] | true | [] |
1,461,908,087 | 5,286 | FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/enwiki/20220301/dumpstatus.json | ### Describe the bug
I follow the steps provided on the website [https://huggingface.co/datasets/wikipedia](https://huggingface.co/datasets/wikipedia)
$ pip install apache_beam mwparserfromhell
>>> from datasets import load_dataset
>>> load_dataset("wikipedia", "20220301.en")
however this results in the follo... | closed | https://github.com/huggingface/datasets/issues/5286 | 2022-11-23T14:54:15 | 2024-11-23T01:16:41 | 2022-11-25T11:33:14 | {
"login": "roritol",
"id": 32490135,
"type": "User"
} | [] | false | [] |
1,461,521,215 | 5,285 | Save file name in embed_storage | Having the file name is useful in case we need to check the extension of the file (e.g. mp3), or in general in case it includes some metadata information (track id, image id etc.)
Related to https://github.com/huggingface/datasets/issues/5276 | closed | https://github.com/huggingface/datasets/pull/5285 | 2022-11-23T10:55:54 | 2022-11-24T14:11:41 | 2022-11-24T14:08:37 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,461,519,733 | 5,284 | Features of IterableDataset set to None by remove column | ### Describe the bug
The `remove_column` method of the IterableDataset sets the dataset features to None.
### Steps to reproduce the bug
```python
from datasets import Audio, load_dataset
# load LS in streaming mode
dataset = load_dataset("librispeech_asr", "clean", split="validation", streaming=True)
... | closed | https://github.com/huggingface/datasets/issues/5284 | 2022-11-23T10:54:59 | 2025-02-07T11:36:41 | 2022-11-28T12:53:24 | {
"login": "sanchit-gandhi",
"id": 93869735,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
},
{
"name": "streaming",
"color": "fef2c0"
}
] | false | [] |
1,460,291,003 | 5,283 | Release: 2.6.2 | null | closed | https://github.com/huggingface/datasets/pull/5283 | 2022-11-22T17:36:24 | 2022-11-22T17:50:12 | 2022-11-22T17:47:02 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,460,238,928 | 5,282 | Release: 2.7.1 | null | closed | https://github.com/huggingface/datasets/pull/5282 | 2022-11-22T16:58:54 | 2022-11-22T17:21:28 | 2022-11-22T17:21:27 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,459,930,271 | 5,281 | Support cloud storage in load_dataset | Would be nice to be able to do
```python
data_files=["s3://..."] # or gs:// or any cloud storage path
storage_options = {...}
load_dataset(..., data_files=data_files, storage_options=storage_options)
```
The idea would be to use `fsspec` as in `download_and_prepare` and `save_to_disk`.
This has been reque... | open | https://github.com/huggingface/datasets/issues/5281 | 2022-11-22T14:00:10 | 2024-11-15T15:03:41 | null | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "good second issue",
"color": "BDE59C"
}
] | false | [] |
1,459,823,179 | 5,280 | Import error | https://github.com/huggingface/datasets/blob/cd3d8e637cfab62d352a3f4e5e60e96597b5f0e9/src/datasets/__init__.py#L28
Hy,
I have error at the above line. I have python version 3.8.13, the message says I need python>=3.7, which is True, but I think the if statement not working properly (or the message wrong) | closed | https://github.com/huggingface/datasets/issues/5280 | 2022-11-22T12:56:43 | 2022-12-15T19:57:40 | 2022-12-15T19:57:40 | {
"login": "feketedavid1012",
"id": 40760055,
"type": "User"
} | [] | false | [] |
1,459,635,002 | 5,279 | Warn about checksums | It takes a lot of time on big datasets to compute the checksums, we should at least add a warning to notify the user about this step. I also mentioned how to disable it, and added a tqdm bar (delay=5 seconds)
cc @ola13 | closed | https://github.com/huggingface/datasets/pull/5279 | 2022-11-22T10:58:48 | 2022-11-23T11:43:50 | 2022-11-23T09:47:02 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,459,574,490 | 5,278 | load_dataset does not read jsonl metadata file properly | ### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. It just spits out "image" and "label" as features.
B... | closed | https://github.com/huggingface/datasets/issues/5278 | 2022-11-22T10:24:46 | 2023-02-14T14:48:16 | 2022-11-23T11:38:35 | {
"login": "065294847",
"id": 81414263,
"type": "User"
} | [] | false | [] |
1,459,388,551 | 5,277 | Remove YAML integer keys from class_label metadata | Fix partially #5275. | closed | https://github.com/huggingface/datasets/pull/5277 | 2022-11-22T08:34:07 | 2022-11-22T13:58:26 | 2022-11-22T13:55:49 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,459,363,442 | 5,276 | Bug in downloading common_voice data and snall chunk of it to one's own hub | ### Describe the bug
I'm trying to load the common voice dataset. Currently there is no implementation to download just par tof the data, and I need just one part of it, without downloading the entire dataset
Help please?
![image](https://user-images.githubusercontent.com/48530104/203260511-26df766f-6013-4... | closed | https://github.com/huggingface/datasets/issues/5276 | 2022-11-22T08:17:53 | 2023-07-21T14:33:10 | 2023-07-21T14:33:10 | {
"login": "capsabogdan",
"id": 48530104,
"type": "User"
} | [] | false | [] |
1,459,358,919 | 5,275 | YAML integer keys are not preserved Hub server-side | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | closed | https://github.com/huggingface/datasets/issues/5275 | 2022-11-22T08:14:47 | 2023-01-26T10:52:35 | 2023-01-26T10:40:21 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,458,646,455 | 5,274 | load_dataset possibly broken for gated datasets? | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | closed | https://github.com/huggingface/datasets/issues/5274 | 2022-11-21T21:59:53 | 2023-05-27T00:06:14 | 2022-11-28T02:50:42 | {
"login": "TristanThrush",
"id": 20826878,
"type": "User"
} | [] | false | [] |
1,458,018,050 | 5,273 | download_mode="force_redownload" does not refresh cached dataset | ### Describe the bug
`load_datasets` does not refresh dataset when features are imported from external file, even with `download_mode="force_redownload"`. The bug is not limited to nested fields, however it is more likely to occur with nested fields.
### Steps to reproduce the bug
To reproduce the bug 3 files are ne... | open | https://github.com/huggingface/datasets/issues/5273 | 2022-11-21T14:12:43 | 2022-11-21T14:13:03 | null | {
"login": "nomisto",
"id": 28439912,
"type": "User"
} | [] | false | [] |
1,456,940,021 | 5,272 | Use pyarrow Tensor dtype | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | open | https://github.com/huggingface/datasets/issues/5272 | 2022-11-20T15:18:41 | 2024-11-11T03:03:17 | null | {
"login": "franz101",
"id": 18228395,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,456,807,738 | 5,271 | Fix #5269 | ```
$ datasets-cli convert --datasets_directory <TAB>
datasets_directory
benchmarks/ docs/ metrics/ notebooks/ src/ templates/ tests/ utils/
```
| closed | https://github.com/huggingface/datasets/pull/5271 | 2022-11-20T07:50:49 | 2022-11-21T15:07:19 | 2022-11-21T15:06:38 | {
"login": "Freed-Wu",
"id": 32936898,
"type": "User"
} | [] | true | [] |
1,456,508,990 | 5,270 | When len(_URLS) > 16, download will hang | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | open | https://github.com/huggingface/datasets/issues/5270 | 2022-11-19T14:27:41 | 2022-11-21T15:27:16 | null | {
"login": "Freed-Wu",
"id": 32936898,
"type": "User"
} | [] | false | [] |
1,456,485,799 | 5,269 | Shell completions | ### Feature request
Like <https://github.com/huggingface/huggingface_hub/issues/1197>, datasets-cli maybe need it, too.
### Motivation
See above.
### Your contribution
Maybe. | closed | https://github.com/huggingface/datasets/issues/5269 | 2022-11-19T13:48:59 | 2022-11-21T15:06:15 | 2022-11-21T15:06:14 | {
"login": "Freed-Wu",
"id": 32936898,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,455,633,978 | 5,268 | Sharded save_to_disk + multiprocessing | Added `num_shards=` and `num_proc=` to `save_to_disk()`
EDIT: also added `max_shard_size=` to `save_to_disk()`, and also `num_shards=` to `push_to_hub`
I also:
- deprecated the fs parameter in favor of storage_options (for consistency with the rest of the lib) in save_to_disk and load_from_disk
- always embed t... | closed | https://github.com/huggingface/datasets/pull/5268 | 2022-11-18T18:50:01 | 2022-12-14T18:25:52 | 2022-12-14T18:22:58 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,455,466,464 | 5,267 | Fix `max_shard_size` docs | null | closed | https://github.com/huggingface/datasets/pull/5267 | 2022-11-18T16:55:22 | 2022-11-18T17:28:58 | 2022-11-18T17:25:27 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,455,281,310 | 5,266 | Specify arguments as keywords in librosa.reshape to avoid future errors | Fixes a warning and future deprecation from `librosa.reshape`:
```
FutureWarning: Pass orig_sr=16000, target_sr=48000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
``` | closed | https://github.com/huggingface/datasets/pull/5266 | 2022-11-18T14:58:47 | 2022-11-21T15:45:02 | 2022-11-21T15:41:57 | {
"login": "polinaeterna",
"id": 16348744,
"type": "User"
} | [] | true | [] |
1,455,274,864 | 5,265 | Get an IterableDataset from a map-style Dataset | This is useful to leverage iterable datasets specific features like:
- fast approximate shuffling
- lazy map, filter etc.
Iterating over the resulting iterable dataset should be at least as fast at iterating over the map-style dataset.
Here are some ideas regarding the API:
```python
# 1.
# - consistency wi... | closed | https://github.com/huggingface/datasets/issues/5265 | 2022-11-18T14:54:40 | 2023-02-01T16:36:03 | 2023-02-01T16:36:03 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "streaming",
"color": "fef2c0"
}
] | false | [] |
1,455,252,906 | 5,264 | `datasets` can't read a Parquet file in Python 3.9.13 | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | closed | https://github.com/huggingface/datasets/issues/5264 | 2022-11-18T14:44:01 | 2023-05-07T09:52:59 | 2022-11-22T11:18:08 | {
"login": "loubnabnl",
"id": 44069155,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
1,455,252,626 | 5,263 | Save a dataset in a determined number of shards | This is useful to distribute the shards to training nodes.
This can be implemented in `save_to_disk` and can also leverage multiprocessing to speed up the process | closed | https://github.com/huggingface/datasets/issues/5263 | 2022-11-18T14:43:54 | 2022-12-14T18:22:59 | 2022-12-14T18:22:59 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,455,171,100 | 5,262 | AttributeError: 'Value' object has no attribute 'names' | Hello
I'm trying to build a model for custom token classification
I already followed the token classification course on huggingface
while adapting the code to my work, this message occures :
'Value' object has no attribute 'names'
Here's my code:
`raw_datasets`
generates
DatasetDict({
train: Datas... | closed | https://github.com/huggingface/datasets/issues/5262 | 2022-11-18T13:58:42 | 2022-11-22T10:09:24 | 2022-11-22T10:09:23 | {
"login": "emnaboughariou",
"id": 102913847,
"type": "User"
} | [] | false | [] |
1,454,647,861 | 5,261 | Add PubTables-1M | ### Name
PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now available in 🤗 Transforme... | open | https://github.com/huggingface/datasets/issues/5261 | 2022-11-18T07:56:36 | 2022-11-18T08:02:18 | null | {
"login": "NielsRogge",
"id": 48327001,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
1,453,921,697 | 5,260 | consumer-finance-complaints dataset not loading | ### Describe the bug
Error during dataset loading
### Steps to reproduce the bug
```
>>> import datasets
>>> cf_raw = datasets.load_dataset("consumer-finance-complaints")
Downloading builder script: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████... | open | https://github.com/huggingface/datasets/issues/5260 | 2022-11-17T20:10:26 | 2022-11-18T10:16:53 | null | {
"login": "adiprasad",
"id": 8098496,
"type": "User"
} | [] | false | [] |
1,453,555,923 | 5,259 | datasets 2.7 introduces sharding error | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | closed | https://github.com/huggingface/datasets/issues/5259 | 2022-11-17T15:36:52 | 2022-12-24T01:44:02 | 2022-11-18T12:52:05 | {
"login": "DCNemesis",
"id": 3616964,
"type": "User"
} | [] | false | [] |
1,453,516,636 | 5,258 | Restore order of split names in dataset_info for canonical datasets | After a bulk edit of canonical datasets to create the YAML `dataset_info` metadata, the split names were accidentally sorted alphabetically. See for example:
- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e57c
Note that this order is the one appearing in the preview of the... | closed | https://github.com/huggingface/datasets/issues/5258 | 2022-11-17T15:13:15 | 2023-02-16T09:49:05 | 2022-11-19T06:51:37 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "dataset contribution",
"color": "0e8a16"
}
] | false | [] |
1,452,656,891 | 5,257 | remove an unused statement | remove the unused statement: `input_pairs = list(zip())` | closed | https://github.com/huggingface/datasets/pull/5257 | 2022-11-17T04:00:50 | 2022-11-18T11:04:08 | 2022-11-18T11:04:08 | {
"login": "WrRan",
"id": 7569098,
"type": "User"
} | [] | true | [] |
1,452,652,586 | 5,256 | fix wrong print | print `encoded_dataset.column_names` not `dataset.column_names` | closed | https://github.com/huggingface/datasets/pull/5256 | 2022-11-17T03:54:26 | 2022-11-18T11:05:32 | 2022-11-18T11:05:32 | {
"login": "WrRan",
"id": 7569098,
"type": "User"
} | [] | true | [] |
1,452,631,517 | 5,255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | closed | https://github.com/huggingface/datasets/issues/5255 | 2022-11-17T03:22:22 | 2022-12-17T12:20:38 | 2022-12-17T12:20:37 | {
"login": "sayakpaul",
"id": 22957388,
"type": "User"
} | [
{
"name": "dataset request",
"color": "e99695"
}
] | false | [] |
1,452,600,088 | 5,254 | typo | null | closed | https://github.com/huggingface/datasets/pull/5254 | 2022-11-17T02:39:57 | 2022-11-18T10:53:45 | 2022-11-18T10:53:45 | {
"login": "WrRan",
"id": 7569098,
"type": "User"
} | [] | true | [] |
1,452,588,206 | 5,253 | typo | null | closed | https://github.com/huggingface/datasets/pull/5253 | 2022-11-17T02:22:58 | 2022-11-18T10:53:11 | 2022-11-18T10:53:10 | {
"login": "WrRan",
"id": 7569098,
"type": "User"
} | [] | true | [] |
1,451,765,838 | 5,252 | Support for decoding Image/Audio types in map when format type is not default one | Add support for decoding the `Image`/`Audio` types in `map` for the formats (Numpy, TF, Jax, PyTorch) other than the default one (Python).
Additional improvements:
* make `Dataset`'s "iter" API cleaner by removing `_iter` and replacing `_iter_batches` with `iter(batch_size)` (also implemented for `IterableDataset`... | closed | https://github.com/huggingface/datasets/pull/5252 | 2022-11-16T15:02:13 | 2022-12-13T17:01:54 | 2022-12-13T16:59:04 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,451,761,321 | 5,251 | Docs are not generated after latest release | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | closed | https://github.com/huggingface/datasets/issues/5251 | 2022-11-16T14:59:31 | 2022-11-22T16:27:50 | 2022-11-22T16:27:50 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "maintenance",
"color": "d4c5f9"
}
] | false | [] |
1,451,720,030 | 5,250 | Change release procedure to use only pull requests | This PR changes the release procedure so that:
- it only make changes to main branch via pull requests
- it is no longer necessary to directly commit/push to main branch
Close #5251.
| closed | https://github.com/huggingface/datasets/pull/5250 | 2022-11-16T14:35:32 | 2022-11-22T16:30:58 | 2022-11-22T16:27:48 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,451,692,247 | 5,249 | Protect the main branch from inadvertent direct pushes | We have decided to implement a protection mechanism in this repository, so that nobody (not even administrators) can inadvertently push accidentally directly to the main branch.
See context here:
- d7c942228b8dcf4de64b00a3053dce59b335f618
To do:
- [x] Protect main branch
- Settings > Branches > Branch protec... | closed | https://github.com/huggingface/datasets/issues/5249 | 2022-11-16T14:19:03 | 2023-12-21T10:28:27 | 2023-12-21T10:28:26 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "maintenance",
"color": "d4c5f9"
}
] | false | [] |
1,451,338,676 | 5,248 | Complete doc migration | Reverts huggingface/datasets#5214
Everything is handled on the doc-builder side now 😊 | closed | https://github.com/huggingface/datasets/pull/5248 | 2022-11-16T10:41:04 | 2022-11-16T15:06:50 | 2022-11-16T10:41:10 | {
"login": "mishig25",
"id": 11827707,
"type": "User"
} | [] | true | [] |
1,451,297,749 | 5,247 | Set dev version | null | closed | https://github.com/huggingface/datasets/pull/5247 | 2022-11-16T10:17:31 | 2022-11-16T10:22:20 | 2022-11-16T10:17:50 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,451,226,055 | 5,246 | Release: 2.7.0 | null | closed | https://github.com/huggingface/datasets/pull/5246 | 2022-11-16T09:32:44 | 2022-11-16T09:39:42 | 2022-11-16T09:37:03 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
1,450,376,433 | 5,245 | Unable to rename columns in streaming dataset | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | closed | https://github.com/huggingface/datasets/issues/5245 | 2022-11-15T21:04:41 | 2022-11-28T12:53:24 | 2022-11-28T12:53:24 | {
"login": "peregilk",
"id": 9079808,
"type": "User"
} | [] | false | [] |
1,450,019,225 | 5,244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | open | https://github.com/huggingface/datasets/issues/5244 | 2022-11-15T16:02:10 | 2022-11-23T14:02:30 | null | {
"login": "bruno-hays",
"id": 48770768,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,449,523,962 | 5,243 | Download only split data | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | open | https://github.com/huggingface/datasets/issues/5243 | 2022-11-15T10:15:54 | 2025-02-25T14:47:03 | null | {
"login": "capsabogdan",
"id": 48530104,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,449,069,382 | 5,242 | Failed Data Processing upon upload with zip file full of images | I went to autotrain and under image classification arrived where it was time to prepare my dataset. Screenshot below
I chose the method 2 option. I have a csv file with two columns. ~23,000 files.
I... | open | https://github.com/huggingface/datasets/issues/5242 | 2022-11-15T02:47:52 | 2022-11-15T17:59:23 | null | {
"login": "scrambled2",
"id": 82735473,
"type": "User"
} | [] | false | [] |
1,448,510,407 | 5,241 | Support hfh rc version | otherwise the code doesn't work for hfh 0.11.0rc0
following #5237 | closed | https://github.com/huggingface/datasets/pull/5241 | 2022-11-14T18:05:47 | 2022-11-15T16:11:30 | 2022-11-15T16:09:31 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,448,478,617 | 5,240 | Cleaner error tracebacks for dataset script errors | Make the traceback of the errors raised in `_generate_examples` cleaner for easier debugging. Additionally, initialize the `writer` in the for-loop to avoid the `ValueError` from `ArrowWriter.finalize` raised in the `finally` block when no examples are yielded before the `_generate_examples` error.
<details>
<s... | closed | https://github.com/huggingface/datasets/pull/5240 | 2022-11-14T17:42:02 | 2022-11-15T18:26:48 | 2022-11-15T18:24:38 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,448,211,373 | 5,239 | Add num_proc to from_csv/generator/json/parquet/text | Allow multiprocessing to from_* methods | closed | https://github.com/huggingface/datasets/pull/5239 | 2022-11-14T14:53:00 | 2022-12-06T15:39:10 | 2022-12-06T15:39:09 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,448,211,251 | 5,238 | Make `Version` hashable | Add `__hash__` to the `Version` class to make it hashable (and remove the unneeded methods), as `Version("0.0.0")` is the default value of `BuilderConfig.version` and the default fields of a dataclass need to be hashable in Python 3.11.
Fix https://github.com/huggingface/datasets/issues/5230 | closed | https://github.com/huggingface/datasets/pull/5238 | 2022-11-14T14:52:55 | 2022-11-14T15:30:02 | 2022-11-14T15:27:35 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,448,202,491 | 5,237 | Encode path only for old versions of hfh | Next version of `huggingface-hub` 0.11 does encode the `path`, and we don't want to encode twice | closed | https://github.com/huggingface/datasets/pull/5237 | 2022-11-14T14:46:57 | 2022-11-14T17:38:18 | 2022-11-14T17:35:59 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,448,190,801 | 5,236 | Handle ArrowNotImplementedError caused by try_type being Image or Audio in cast | Handle the `ArrowNotImplementedError` thrown when `try_type` is `Image` or `Audio` and the input array cannot be converted to their storage formats.
Reproducer:
```python
from datasets import Dataset
from PIL import Image
import requests
ds = Dataset.from_dict({"image": [Image.open(requests.get("https://uploa... | closed | https://github.com/huggingface/datasets/pull/5236 | 2022-11-14T14:38:59 | 2022-11-14T16:04:29 | 2022-11-14T16:01:48 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
1,448,052,660 | 5,235 | Pin `typer` version in tests to <0.5 to fix Windows CI | Otherwise `click` fails on Windows:
```
Traceback (most recent call last):
File "C:\hostedtoolcache\windows\Python\3.7.9\x64\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\hostedtoolcache\windows\Python\3.7.9\x64\lib\runpy.py", line 85, in _run_code
exec(code, run_glob... | closed | https://github.com/huggingface/datasets/pull/5235 | 2022-11-14T13:17:02 | 2022-11-14T15:43:01 | 2022-11-14T13:41:12 | {
"login": "polinaeterna",
"id": 16348744,
"type": "User"
} | [] | true | [] |
1,447,999,062 | 5,234 | fix: dataset path should be absolute | cache_file_name depends on dataset's path.
A simple way where this could cause a problem:
```
import os
import datasets
def add_prefix(example):
example["text"] = "Review: " + example["text"]
return example
ds = datasets.load_from_disk("a/relative/path")
os.chdir("/tmp")
ds_1 = ds.map(add_... | closed | https://github.com/huggingface/datasets/pull/5234 | 2022-11-14T12:47:40 | 2022-12-07T23:49:22 | 2022-12-07T23:46:34 | {
"login": "vigsterkr",
"id": 30353,
"type": "User"
} | [] | true | [] |
1,447,906,868 | 5,233 | Fix shards in IterableDataset.from_generator | Allow to define a sharded iterable dataset | closed | https://github.com/huggingface/datasets/pull/5233 | 2022-11-14T11:42:09 | 2022-11-14T14:16:03 | 2022-11-14T14:13:22 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
1,446,294,165 | 5,232 | Incompatible dill versions in datasets 2.6.1 | ### Describe the bug
datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet been released. Please release a new version of the... | closed | https://github.com/huggingface/datasets/issues/5232 | 2022-11-12T06:46:23 | 2022-11-14T08:24:43 | 2022-11-14T08:07:59 | {
"login": "vinaykakade",
"id": 10574123,
"type": "User"
} | [] | false | [] |
1,445,883,267 | 5,231 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly | I have a Dataset with two Features defined as follows:
```
'image': Array3D(dtype="int64", shape=(3, 224, 224)),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
```
On said dataset, if I `dataset.set_format(type='torch')` and then use the dataset in a dataloader, these columns are correctly cast to Tensors of ... | closed | https://github.com/huggingface/datasets/issues/5231 | 2022-11-11T18:54:36 | 2022-11-11T20:42:29 | 2022-11-11T18:59:50 | {
"login": "plamb-viso",
"id": 99206017,
"type": "User"
} | [] | false | [] |
1,445,507,580 | 5,230 | dataclasses error when importing the library in python 3.11 | ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | closed | https://github.com/huggingface/datasets/issues/5230 | 2022-11-11T13:53:49 | 2023-05-25T04:37:05 | 2022-11-14T15:27:37 | {
"login": "yonikremer",
"id": 76044840,
"type": "User"
} | [] | false | [] |
1,445,121,028 | 5,229 | Type error when calling `map` over dataset containing 0-d tensors | ### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
```
ds = datasets.Dataset.from_list([{"a": 1}, {"a": 1}]).with_fo... | closed | https://github.com/huggingface/datasets/issues/5229 | 2022-11-11T08:27:28 | 2023-01-13T16:00:53 | 2023-01-13T16:00:53 | {
"login": "phipsgabler",
"id": 7878215,
"type": "User"
} | [] | false | [] |
1,444,763,105 | 5,228 | Loading a dataset from the hub fails if you happen to have a folder of the same name | ### Describe the bug
I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a situation where multiple workers were downloading different parts of the glue dataset and ... | open | https://github.com/huggingface/datasets/issues/5228 | 2022-11-11T00:51:54 | 2023-05-03T23:23:04 | null | {
"login": "dakinggg",
"id": 43149077,
"type": "User"
} | [] | false | [] |
1,444,620,094 | 5,227 | datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files | ### Describe the bug
From these lines:
from datasets import list_datasets, load_dataset
dataset = load_dataset("wikisql","binary")
I get error message:
datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files
And yet the 'wikisql' is reported to exist via the list_datas... | closed | https://github.com/huggingface/datasets/issues/5227 | 2022-11-10T21:57:06 | 2023-10-07T05:04:41 | 2022-11-10T22:05:43 | {
"login": "ScottM-wizard",
"id": 102275116,
"type": "User"
} | [] | false | [] |
1,444,385,148 | 5,226 | Q: Memory release when removing the column? | ### Describe the bug
How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory -> RAM Used (GB): 0.704 / Total (GB) 33.670... | closed | https://github.com/huggingface/datasets/issues/5226 | 2022-11-10T18:35:27 | 2022-11-29T15:10:10 | 2022-11-29T15:10:10 | {
"login": "bayartsogt-ya",
"id": 43239645,
"type": "User"
} | [] | false | [] |
1,444,305,183 | 5,225 | Add video feature | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | open | https://github.com/huggingface/datasets/issues/5225 | 2022-11-10T17:36:11 | 2022-12-02T15:13:15 | null | {
"login": "nateraw",
"id": 32437151,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "help wanted",
"color": "008672"
},
{
"name": "vision",
"color": "bfdadc"
}
] | false | [] |
1,443,640,867 | 5,224 | Seems to freeze when loading audio dataset with wav files from local folder | ### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder and then the audios and csv. When I try to load the dataset and run from term... | closed | https://github.com/huggingface/datasets/issues/5224 | 2022-11-10T10:29:31 | 2023-04-25T09:54:05 | 2022-11-22T11:24:19 | {
"login": "uriii3",
"id": 45894267,
"type": "User"
} | [] | false | [] |
1,442,610,658 | 5,223 | Add SQL guide | This PR adapts @nateraw's awesome SQL notebook as a guide for the docs! | closed | https://github.com/huggingface/datasets/pull/5223 | 2022-11-09T19:10:27 | 2022-11-15T17:40:25 | 2022-11-15T17:40:21 | {
"login": "stevhliu",
"id": 59462357,
"type": "User"
} | [] | true | [] |
1,442,412,507 | 5,222 | HuggingFace website is incorrectly reporting that my datasets are pickled | ### Describe the bug
HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce the bug
Inspect my dataset respository here: https://huggingface.co/datasets... | closed | https://github.com/huggingface/datasets/issues/5222 | 2022-11-09T16:41:16 | 2022-11-09T18:10:46 | 2022-11-09T18:06:57 | {
"login": "ProGamerGov",
"id": 10626398,
"type": "User"
} | [] | false | [] |
1,442,309,094 | 5,221 | Cannot push | ### Describe the bug
I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ╭─laptop@laptop ~/PersonalProjects/data/ulaanbal_v0 ‹main●›
╰─$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K validation.jsonl... | closed | https://github.com/huggingface/datasets/issues/5221 | 2022-11-09T15:32:05 | 2022-11-10T18:11:21 | 2022-11-10T18:11:11 | {
"login": "bayartsogt-ya",
"id": 43239645,
"type": "User"
} | [] | false | [] |
1,441,664,377 | 5,220 | Implicit type conversion of lists in to_pandas | ### Describe the bug
```
ds = Dataset.from_list([{'a':[1,2,3]}])
ds.to_pandas().a.values[0]
```
Results in `array([1, 2, 3])` -- a rather unexpected conversion of types which made downstream tools expecting lists not happy.
### Steps to reproduce the bug
See snippet
### Expected behavior
Keep the original typ... | closed | https://github.com/huggingface/datasets/issues/5220 | 2022-11-09T08:40:18 | 2022-11-10T16:12:26 | 2022-11-10T16:12:26 | {
"login": "sanderland",
"id": 48946947,
"type": "User"
} | [] | false | [] |
1,441,255,910 | 5,219 | Delta Tables usage using Datasets Library | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | open | https://github.com/huggingface/datasets/issues/5219 | 2022-11-09T02:43:56 | 2023-03-02T19:29:12 | null | {
"login": "reichenbch",
"id": 23002137,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,441,254,194 | 5,218 | Delta Tables usage using Datasets Library | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | closed | https://github.com/huggingface/datasets/issues/5218 | 2022-11-09T02:42:18 | 2022-11-09T02:42:36 | 2022-11-09T02:42:36 | {
"login": "rcv-koo",
"id": 103188035,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
1,441,252,740 | 5,217 | Reword E2E training and inference tips in the vision guides | Reference: https://github.com/huggingface/datasets/pull/5188#discussion_r1012148730 | closed | https://github.com/huggingface/datasets/pull/5217 | 2022-11-09T02:40:01 | 2022-11-10T01:38:09 | 2022-11-10T01:36:09 | {
"login": "sayakpaul",
"id": 22957388,
"type": "User"
} | [] | true | [] |
1,441,041,947 | 5,216 | save_elasticsearch_index | Hi,
I am new to Dataset and elasticsearch. I was wondering is there any equivalent approach to save elasticsearch index as of save_faiss_index locally for later use, to remove the need to re-index a dataset? | open | https://github.com/huggingface/datasets/issues/5216 | 2022-11-08T23:06:52 | 2022-11-09T13:16:45 | null | {
"login": "amobash2",
"id": 12739718,
"type": "User"
} | [] | false | [] |
1,440,334,978 | 5,214 | Update github pr docs actions | null | closed | https://github.com/huggingface/datasets/pull/5214 | 2022-11-08T14:43:37 | 2022-11-08T15:39:58 | 2022-11-08T15:39:57 | {
"login": "mishig25",
"id": 11827707,
"type": "User"
} | [] | true | [] |
1,440,037,534 | 5,213 | Add support for different configs with `push_to_hub` | will solve #5151
@lhoestq @albertvillanova @mariosasko
This is still a super draft so please ignore code issues but I want to discuss some conceptually important things.
I suggest a way to do `.push_to_hub("repo_id", "config_name")` with pushing parquet files to directories named as `config_name` (inside `data... | closed | https://github.com/huggingface/datasets/pull/5213 | 2022-11-08T11:45:47 | 2022-12-02T16:48:23 | 2022-12-02T16:44:07 | {
"login": "polinaeterna",
"id": 16348744,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | true | [] |
1,439,642,483 | 5,212 | Fix CI require_beam maximum compatible dill version | A previous commit to main branch introduced an additional requirement on maximum compatible `dill` version with `apache-beam` in our CI `require_beam`:
- d7c942228b8dcf4de64b00a3053dce59b335f618
- ec222b220b79f10c8d7b015769f0999b15959feb
This PR fixes the maximum compatible `dill` version with `apache-beam`, which... | closed | https://github.com/huggingface/datasets/pull/5212 | 2022-11-08T07:30:01 | 2022-11-15T06:32:27 | 2022-11-15T06:32:26 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
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