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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,448,211,251 | https://api.github.com/repos/huggingface/datasets/issues/5238 | https://github.com/huggingface/datasets/pull/5238 | 5,238 | Make `Version` hashable | closed | 1 | 2022-11-14T14:52:55 | 2022-11-14T15:30:02 | 2022-11-14T15:27:35 | mariosasko | [] | 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 | true |
1,448,202,491 | https://api.github.com/repos/huggingface/datasets/issues/5237 | https://github.com/huggingface/datasets/pull/5237 | 5,237 | Encode path only for old versions of hfh | closed | 1 | 2022-11-14T14:46:57 | 2022-11-14T17:38:18 | 2022-11-14T17:35:59 | lhoestq | [] | Next version of `huggingface-hub` 0.11 does encode the `path`, and we don't want to encode twice | true |
1,448,190,801 | https://api.github.com/repos/huggingface/datasets/issues/5236 | https://github.com/huggingface/datasets/pull/5236 | 5,236 | Handle ArrowNotImplementedError caused by try_type being Image or Audio in cast | closed | 2 | 2022-11-14T14:38:59 | 2022-11-14T16:04:29 | 2022-11-14T16:01:48 | mariosasko | [] | 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... | true |
1,448,052,660 | https://api.github.com/repos/huggingface/datasets/issues/5235 | https://github.com/huggingface/datasets/pull/5235 | 5,235 | Pin `typer` version in tests to <0.5 to fix Windows CI | closed | 0 | 2022-11-14T13:17:02 | 2022-11-14T15:43:01 | 2022-11-14T13:41:12 | polinaeterna | [] | 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... | true |
1,447,999,062 | https://api.github.com/repos/huggingface/datasets/issues/5234 | https://github.com/huggingface/datasets/pull/5234 | 5,234 | fix: dataset path should be absolute | closed | 3 | 2022-11-14T12:47:40 | 2022-12-07T23:49:22 | 2022-12-07T23:46:34 | vigsterkr | [] | 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_... | true |
1,447,906,868 | https://api.github.com/repos/huggingface/datasets/issues/5233 | https://github.com/huggingface/datasets/pull/5233 | 5,233 | Fix shards in IterableDataset.from_generator | closed | 1 | 2022-11-14T11:42:09 | 2022-11-14T14:16:03 | 2022-11-14T14:13:22 | lhoestq | [] | Allow to define a sharded iterable dataset | true |
1,446,294,165 | https://api.github.com/repos/huggingface/datasets/issues/5232 | https://github.com/huggingface/datasets/issues/5232 | 5,232 | Incompatible dill versions in datasets 2.6.1 | closed | 2 | 2022-11-12T06:46:23 | 2022-11-14T08:24:43 | 2022-11-14T08:07:59 | vinaykakade | [] | ### 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... | false |
1,445,883,267 | https://api.github.com/repos/huggingface/datasets/issues/5231 | https://github.com/huggingface/datasets/issues/5231 | 5,231 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly | closed | 1 | 2022-11-11T18:54:36 | 2022-11-11T20:42:29 | 2022-11-11T18:59:50 | plamb-viso | [] | 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 ... | false |
1,445,507,580 | https://api.github.com/repos/huggingface/datasets/issues/5230 | https://github.com/huggingface/datasets/issues/5230 | 5,230 | dataclasses error when importing the library in python 3.11 | closed | 5 | 2022-11-11T13:53:49 | 2023-05-25T04:37:05 | 2022-11-14T15:27:37 | yonikremer | [] | ### 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... | false |
1,445,121,028 | https://api.github.com/repos/huggingface/datasets/issues/5229 | https://github.com/huggingface/datasets/issues/5229 | 5,229 | Type error when calling `map` over dataset containing 0-d tensors | closed | 2 | 2022-11-11T08:27:28 | 2023-01-13T16:00:53 | 2023-01-13T16:00:53 | phipsgabler | [] | ### 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... | false |
1,444,763,105 | https://api.github.com/repos/huggingface/datasets/issues/5228 | https://github.com/huggingface/datasets/issues/5228 | 5,228 | Loading a dataset from the hub fails if you happen to have a folder of the same name | open | 3 | 2022-11-11T00:51:54 | 2023-05-03T23:23:04 | null | dakinggg | [] | ### 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 ... | false |
1,444,620,094 | https://api.github.com/repos/huggingface/datasets/issues/5227 | https://github.com/huggingface/datasets/issues/5227 | 5,227 | datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files | closed | 2 | 2022-11-10T21:57:06 | 2023-10-07T05:04:41 | 2022-11-10T22:05:43 | ScottM-wizard | [] | ### 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... | false |
1,444,385,148 | https://api.github.com/repos/huggingface/datasets/issues/5226 | https://github.com/huggingface/datasets/issues/5226 | 5,226 | Q: Memory release when removing the column? | closed | 3 | 2022-11-10T18:35:27 | 2022-11-29T15:10:10 | 2022-11-29T15:10:10 | bayartsogt-ya | [] | ### 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... | false |
1,444,305,183 | https://api.github.com/repos/huggingface/datasets/issues/5225 | https://github.com/huggingface/datasets/issues/5225 | 5,225 | Add video feature | open | 7 | 2022-11-10T17:36:11 | 2022-12-02T15:13:15 | null | nateraw | [
"enhancement",
"help wanted",
"vision"
] | ### 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 ... | false |
1,443,640,867 | https://api.github.com/repos/huggingface/datasets/issues/5224 | https://github.com/huggingface/datasets/issues/5224 | 5,224 | Seems to freeze when loading audio dataset with wav files from local folder | closed | 4 | 2022-11-10T10:29:31 | 2023-04-25T09:54:05 | 2022-11-22T11:24:19 | uriii3 | [] | ### 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... | false |
1,442,610,658 | https://api.github.com/repos/huggingface/datasets/issues/5223 | https://github.com/huggingface/datasets/pull/5223 | 5,223 | Add SQL guide | closed | 4 | 2022-11-09T19:10:27 | 2022-11-15T17:40:25 | 2022-11-15T17:40:21 | stevhliu | [] | This PR adapts @nateraw's awesome SQL notebook as a guide for the docs! | true |
1,442,412,507 | https://api.github.com/repos/huggingface/datasets/issues/5222 | https://github.com/huggingface/datasets/issues/5222 | 5,222 | HuggingFace website is incorrectly reporting that my datasets are pickled | closed | 4 | 2022-11-09T16:41:16 | 2022-11-09T18:10:46 | 2022-11-09T18:06:57 | ProGamerGov | [] | ### 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... | false |
1,442,309,094 | https://api.github.com/repos/huggingface/datasets/issues/5221 | https://github.com/huggingface/datasets/issues/5221 | 5,221 | Cannot push | closed | 2 | 2022-11-09T15:32:05 | 2022-11-10T18:11:21 | 2022-11-10T18:11:11 | bayartsogt-ya | [] | ### 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... | false |
1,441,664,377 | https://api.github.com/repos/huggingface/datasets/issues/5220 | https://github.com/huggingface/datasets/issues/5220 | 5,220 | Implicit type conversion of lists in to_pandas | closed | 2 | 2022-11-09T08:40:18 | 2022-11-10T16:12:26 | 2022-11-10T16:12:26 | sanderland | [] | ### 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... | false |
1,441,255,910 | https://api.github.com/repos/huggingface/datasets/issues/5219 | https://github.com/huggingface/datasets/issues/5219 | 5,219 | Delta Tables usage using Datasets Library | open | 4 | 2022-11-09T02:43:56 | 2023-03-02T19:29:12 | null | reichenbch | [
"enhancement"
] | ### 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... | false |
1,441,254,194 | https://api.github.com/repos/huggingface/datasets/issues/5218 | https://github.com/huggingface/datasets/issues/5218 | 5,218 | Delta Tables usage using Datasets Library | closed | 0 | 2022-11-09T02:42:18 | 2022-11-09T02:42:36 | 2022-11-09T02:42:36 | rcv-koo | [
"enhancement"
] | ### 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... | false |
1,441,252,740 | https://api.github.com/repos/huggingface/datasets/issues/5217 | https://github.com/huggingface/datasets/pull/5217 | 5,217 | Reword E2E training and inference tips in the vision guides | closed | 1 | 2022-11-09T02:40:01 | 2022-11-10T01:38:09 | 2022-11-10T01:36:09 | sayakpaul | [] | Reference: https://github.com/huggingface/datasets/pull/5188#discussion_r1012148730 | true |
1,441,041,947 | https://api.github.com/repos/huggingface/datasets/issues/5216 | https://github.com/huggingface/datasets/issues/5216 | 5,216 | save_elasticsearch_index | open | 1 | 2022-11-08T23:06:52 | 2022-11-09T13:16:45 | null | amobash2 | [] | 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? | false |
1,440,334,978 | https://api.github.com/repos/huggingface/datasets/issues/5214 | https://github.com/huggingface/datasets/pull/5214 | 5,214 | Update github pr docs actions | closed | 1 | 2022-11-08T14:43:37 | 2022-11-08T15:39:58 | 2022-11-08T15:39:57 | mishig25 | [] | null | true |
1,440,037,534 | https://api.github.com/repos/huggingface/datasets/issues/5213 | https://github.com/huggingface/datasets/pull/5213 | 5,213 | Add support for different configs with `push_to_hub` | closed | 8 | 2022-11-08T11:45:47 | 2022-12-02T16:48:23 | 2022-12-02T16:44:07 | polinaeterna | [
"enhancement"
] | 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... | true |
1,439,642,483 | https://api.github.com/repos/huggingface/datasets/issues/5212 | https://github.com/huggingface/datasets/pull/5212 | 5,212 | Fix CI require_beam maximum compatible dill version | closed | 1 | 2022-11-08T07:30:01 | 2022-11-15T06:32:27 | 2022-11-15T06:32:26 | albertvillanova | [] | 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... | true |
1,438,544,617 | https://api.github.com/repos/huggingface/datasets/issues/5211 | https://github.com/huggingface/datasets/pull/5211 | 5,211 | Update Overview.ipynb google colab | closed | 3 | 2022-11-07T15:23:52 | 2022-11-29T15:59:48 | 2022-11-29T15:54:17 | lhoestq | [] | - removed metrics stuff
- added image example
- added audio example (with ffmpeg instructions)
- updated the "add a new dataset" section | true |
1,438,492,507 | https://api.github.com/repos/huggingface/datasets/issues/5210 | https://github.com/huggingface/datasets/pull/5210 | 5,210 | Tweak readme | closed | 3 | 2022-11-07T14:51:23 | 2022-11-24T11:35:07 | 2022-11-24T11:26:16 | lhoestq | [] | Tweaked some paragraphs mentioning the modalities we support + added a paragraph on security | true |
1,438,367,678 | https://api.github.com/repos/huggingface/datasets/issues/5209 | https://github.com/huggingface/datasets/issues/5209 | 5,209 | Implement ability to define splits in metadata section of dataset card | closed | 9 | 2022-11-07T13:27:16 | 2023-07-21T14:36:02 | 2023-07-21T14:36:01 | merveenoyan | [
"enhancement"
] | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. I’d like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | false |
1,438,035,707 | https://api.github.com/repos/huggingface/datasets/issues/5208 | https://github.com/huggingface/datasets/pull/5208 | 5,208 | Refactor CI hub fixtures to use monkeypatch instead of patch | closed | 1 | 2022-11-07T09:25:05 | 2022-11-08T06:51:20 | 2022-11-08T06:49:17 | albertvillanova | [] | Minor refactoring of CI to use `pytest` `monkeypatch` instead of `unittest` `patch`. | true |
1,437,858,506 | https://api.github.com/repos/huggingface/datasets/issues/5207 | https://github.com/huggingface/datasets/issues/5207 | 5,207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | open | 14 | 2022-11-07T06:56:23 | 2025-03-08T09:04:10 | null | leemgs | [] | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | false |
1,437,223,894 | https://api.github.com/repos/huggingface/datasets/issues/5206 | https://github.com/huggingface/datasets/issues/5206 | 5,206 | Use logging instead of printing to console | closed | 1 | 2022-11-05T23:48:02 | 2022-11-06T00:06:00 | 2022-11-06T00:05:59 | bilelomrani1 | [] | ### Describe the bug
Some logs ([here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L778), [here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L786), and [here](https://github.com/huggingfa... | false |
1,437,221,987 | https://api.github.com/repos/huggingface/datasets/issues/5205 | https://github.com/huggingface/datasets/pull/5205 | 5,205 | Add missing `DownloadConfig.use_auth_token` value | closed | 1 | 2022-11-05T23:36:36 | 2022-11-08T08:13:00 | 2022-11-07T16:20:24 | alvarobartt | [] | This PR solves https://github.com/huggingface/datasets/issues/5204
Now the `token` is propagated so that `DownloadConfig.use_auth_token` value is set before trying to download private files from existing datasets in the Hub. | true |
1,437,221,259 | https://api.github.com/repos/huggingface/datasets/issues/5204 | https://github.com/huggingface/datasets/issues/5204 | 5,204 | `push_to_hub` not propagating `token` through `DownloadConfig` | closed | 3 | 2022-11-05T23:32:20 | 2022-11-08T10:12:09 | 2022-11-08T10:12:08 | alvarobartt | [] | ### Describe the bug
When trying to upload a new 🤗 Dataset to the Hub via Python, and providing the `token` as a parameter to the `Dataset.push_to_hub` function, it just works for the first time, assuming that the dataset didn't exist before.
But when trying to run `Dataset.push_to_hub` again over the same dataset... | false |
1,436,710,518 | https://api.github.com/repos/huggingface/datasets/issues/5203 | https://github.com/huggingface/datasets/pull/5203 | 5,203 | Update canonical links to Hub links | closed | 1 | 2022-11-04T22:50:50 | 2022-11-07T18:43:05 | 2022-11-07T18:40:19 | stevhliu | [] | This PR updates some of the canonical dataset links to their corresponding links on the Hub; closes #5200. | true |
1,435,886,090 | https://api.github.com/repos/huggingface/datasets/issues/5202 | https://github.com/huggingface/datasets/issues/5202 | 5,202 | CI fails after bulk edit of canonical datasets | closed | 1 | 2022-11-04T10:51:20 | 2023-02-16T09:11:10 | 2023-02-16T09:11:10 | albertvillanova | [
"bug"
] | ```
______ test_get_dataset_config_info[paws-labeled_final-expected_splits2] _______
[gw0] linux -- Python 3.7.15 /opt/hostedtoolcache/Python/3.7.15/x64/bin/python
path = 'paws', config_name = 'labeled_final'
expected_splits = ['train', 'test', 'validation']
@pytest.mark.parametrize(
"path, config... | false |
1,435,881,554 | https://api.github.com/repos/huggingface/datasets/issues/5201 | https://github.com/huggingface/datasets/pull/5201 | 5,201 | Do not sort splits in dataset info | closed | 5 | 2022-11-04T10:47:21 | 2022-11-04T14:47:37 | 2022-11-04T14:45:09 | polinaeterna | [] | I suggest not to sort splits by their names in dataset_info in README so that they are displayed in the order specified in the loading script. Otherwise `test` split is displayed first, see this repo: https://huggingface.co/datasets/paws
What do you think?
But I added sorting in tests to fix CI (for the same datase... | true |
1,435,831,559 | https://api.github.com/repos/huggingface/datasets/issues/5200 | https://github.com/huggingface/datasets/issues/5200 | 5,200 | Some links to canonical datasets in the docs are outdated | closed | 1 | 2022-11-04T10:06:21 | 2022-11-07T18:40:20 | 2022-11-07T18:40:20 | polinaeterna | [
"documentation"
] | As we don't have canonical datasets in the github repo anymore, some old links to them doesn't work. I don't know how many of them are there, I found link to SuperGlue here: https://huggingface.co/docs/datasets/dataset_script#multiple-configurations, probably there are more of them. These links should be replaced by li... | false |
1,434,818,836 | https://api.github.com/repos/huggingface/datasets/issues/5199 | https://github.com/huggingface/datasets/pull/5199 | 5,199 | Deprecate dummy data generation command | closed | 1 | 2022-11-03T15:05:54 | 2022-11-04T14:01:50 | 2022-11-04T13:59:47 | mariosasko | [] | Deprecate the `dummy_data` CLI command. | true |
1,434,699,165 | https://api.github.com/repos/huggingface/datasets/issues/5198 | https://github.com/huggingface/datasets/pull/5198 | 5,198 | Add note about the name of a dataset script | closed | 1 | 2022-11-03T13:51:32 | 2022-11-04T12:47:59 | 2022-11-04T12:46:01 | polinaeterna | [] | Add note that a dataset script should has the same name as a repo/dir, a bit related to this issue https://github.com/huggingface/datasets/issues/5193
also fixed two minor issues in audio docs (broken links) | true |
1,434,676,150 | https://api.github.com/repos/huggingface/datasets/issues/5197 | https://github.com/huggingface/datasets/pull/5197 | 5,197 | [zstd] Use max window log size | open | 2 | 2022-11-03T13:35:58 | 2022-11-03T13:45:19 | null | reyoung | [] | ZstdDecompressor has a parameter `max_window_size` to limit max memory usage when decompressing zstd files. The default `max_window_size` is not enough when files are compressed by `zstd --ultra` flags.
Change `max_window_size` to the zstd's max window size. NOTE, the `zstd.WINDOWLOG_MAX` is the log_2 value of the m... | true |
1,434,401,646 | https://api.github.com/repos/huggingface/datasets/issues/5196 | https://github.com/huggingface/datasets/pull/5196 | 5,196 | Use hfh hf_hub_url function | closed | 9 | 2022-11-03T10:08:09 | 2022-12-06T11:38:17 | 2022-11-09T07:15:12 | albertvillanova | [] | Small refactoring to use `hf_hub_url` function from `huggingface_hub`.
This PR also creates the `hub` module that will contain all `huggingface_hub` functionalities relevant to `datasets`.
This is a necessary stage before implementing the use of the `hfh` caching system (which uses its `hf_hub_url` under the hood... | true |
1,434,290,689 | https://api.github.com/repos/huggingface/datasets/issues/5195 | https://github.com/huggingface/datasets/pull/5195 | 5,195 | [wip testing docs] | closed | 1 | 2022-11-03T08:37:34 | 2023-04-04T15:10:37 | 2023-04-04T15:10:33 | mishig25 | [] | null | true |
1,434,206,951 | https://api.github.com/repos/huggingface/datasets/issues/5194 | https://github.com/huggingface/datasets/pull/5194 | 5,194 | Fix docs about dataset_info in YAML | closed | 1 | 2022-11-03T07:10:23 | 2022-11-03T13:31:27 | 2022-11-03T13:29:21 | albertvillanova | [] | This PR fixes some misalignment in the docs after we transferred the dataset_info from `dataset_infos.json` to YAML in the dataset card:
- #4926
Related to:
- #5193 | true |
1,433,883,780 | https://api.github.com/repos/huggingface/datasets/issues/5193 | https://github.com/huggingface/datasets/issues/5193 | 5,193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | closed | 5 | 2022-11-02T22:46:25 | 2022-11-03T13:39:16 | 2022-11-03T13:35:44 | lambda-science | [] | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | false |
1,433,199,790 | https://api.github.com/repos/huggingface/datasets/issues/5192 | https://github.com/huggingface/datasets/pull/5192 | 5,192 | Drop labels in Image and Audio folders if files are on different levels in directory or if there is only one label | closed | 9 | 2022-11-02T14:01:41 | 2022-11-15T16:32:53 | 2022-11-15T16:31:07 | polinaeterna | [
"bug"
] | Will close https://github.com/huggingface/datasets/issues/5153
Drop labels by default (`drop_labels=None`) when:
* there are files on different levels of directory hierarchy by checking their path depth
* all files are in the same directory (=only one label was inferred)
First one fixes cases like this:
```
r... | true |
1,433,191,658 | https://api.github.com/repos/huggingface/datasets/issues/5191 | https://github.com/huggingface/datasets/pull/5191 | 5,191 | Make torch.Tensor and spacy models cacheable | closed | 1 | 2022-11-02T13:56:18 | 2022-11-02T17:20:48 | 2022-11-02T17:18:42 | mariosasko | [] | Override `Pickler.save` to implement deterministic reduction (lazily registered; inspired by https://github.com/uqfoundation/dill/blob/master/dill/_dill.py#L343) functions for `torch.Tensor` and spaCy models.
Fix https://github.com/huggingface/datasets/issues/5170, fix https://github.com/huggingface/datasets/issues/... | true |
1,433,014,626 | https://api.github.com/repos/huggingface/datasets/issues/5190 | https://github.com/huggingface/datasets/issues/5190 | 5,190 | `path` is `None` when downloading a custom audio dataset from the Hub | closed | 1 | 2022-11-02T11:51:25 | 2022-11-02T12:55:02 | 2022-11-02T12:55:02 | lewtun | [] | ### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it to the Hub.
Locally, I can see the `audio.path` feature is of the ... | false |
1,432,769,143 | https://api.github.com/repos/huggingface/datasets/issues/5189 | https://github.com/huggingface/datasets/issues/5189 | 5,189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | open | 33 | 2022-11-02T09:15:02 | 2022-12-06T12:13:17 | null | merveenoyan | [
"enhancement"
] | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | false |
1,432,477,139 | https://api.github.com/repos/huggingface/datasets/issues/5188 | https://github.com/huggingface/datasets/pull/5188 | 5,188 | add: segmentation guide. | closed | 5 | 2022-11-02T04:34:36 | 2022-11-04T18:25:57 | 2022-11-04T18:23:34 | sayakpaul | [
"documentation"
] | Closes #5181
I have opened a PR on Hub (https://huggingface.co/datasets/huggingface/documentation-images/discussions/5) to include the images in our central Hub repository. Once the PR is merged I will edit the image links.
I have also prepared a [Colab Notebook](https://colab.research.google.com/drive/1BMDCfOT... | true |
1,432,375,375 | https://api.github.com/repos/huggingface/datasets/issues/5187 | https://github.com/huggingface/datasets/pull/5187 | 5,187 | chore: add notebook links to img cls and obj det. | closed | 9 | 2022-11-02T02:30:09 | 2022-11-03T01:52:24 | 2022-11-03T01:49:56 | sayakpaul | [
"enhancement"
] | Closes https://github.com/huggingface/datasets/issues/5182 | true |
1,432,045,011 | https://api.github.com/repos/huggingface/datasets/issues/5186 | https://github.com/huggingface/datasets/issues/5186 | 5,186 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed | closed | 3 | 2022-11-01T20:25:51 | 2022-11-15T18:24:39 | 2022-11-15T18:24:39 | nateraw | [] | ### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | false |
1,432,021,611 | https://api.github.com/repos/huggingface/datasets/issues/5185 | https://github.com/huggingface/datasets/issues/5185 | 5,185 | Allow passing a subset of output features to Dataset.map | open | 0 | 2022-11-01T20:07:20 | 2022-11-01T20:07:34 | null | sanderland | [
"enhancement"
] | ### Feature request
Currently, map does one of two things to the features (if I'm not mistaken):
* when you do not pass features, types are assumed to be equal to the input if they can be cast, and inferred otherwise
* when you pass a full specification of features, output features are set to this
However, so... | false |
1,431,418,066 | https://api.github.com/repos/huggingface/datasets/issues/5183 | https://github.com/huggingface/datasets/issues/5183 | 5,183 | Loading an external dataset in a format similar to conll2003 | closed | 0 | 2022-11-01T13:18:29 | 2022-11-02T11:57:50 | 2022-11-02T11:57:50 | Taghreed7878 | [] | I'm trying to load a custom dataset in a Dataset object, it's similar to conll2003 but with 2 columns only (word entity), I used the following script:
features = datasets.Features(
{"tokens": datasets.Sequence(datasets.Value("string")),
"ner_tags": datasets.Sequence(
datasets.featu... | false |
1,431,029,547 | https://api.github.com/repos/huggingface/datasets/issues/5182 | https://github.com/huggingface/datasets/issues/5182 | 5,182 | Add notebook / other resource links to the task-specific data loading guides | closed | 2 | 2022-11-01T07:57:26 | 2022-11-03T01:49:57 | 2022-11-03T01:49:57 | sayakpaul | [
"enhancement"
] | Does it make sense to include links to notebooks / scripts that show how to use a dataset for training / fine-tuning a model?
For example, here in [https://huggingface.co/docs/datasets/image_classification] we could include a mention of https://github.com/huggingface/notebooks/blob/main/examples/image_classificatio... | false |
1,431,027,102 | https://api.github.com/repos/huggingface/datasets/issues/5181 | https://github.com/huggingface/datasets/issues/5181 | 5,181 | Add a guide for semantic segmentation | closed | 2 | 2022-11-01T07:54:50 | 2022-11-04T18:23:36 | 2022-11-04T18:23:36 | sayakpaul | [
"documentation"
] | Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy to contribute a PR for it.
Cc: @os... | false |
1,431,012,438 | https://api.github.com/repos/huggingface/datasets/issues/5180 | https://github.com/huggingface/datasets/issues/5180 | 5,180 | An example or recommendations for creating large image datasets? | open | 2 | 2022-11-01T07:38:38 | 2022-11-02T10:17:11 | null | sayakpaul | [] | I know that Apache Beam and `datasets` have [some connector utilities](https://huggingface.co/docs/datasets/beam). But it's a little unclear what we mean by "But if you want to run your own Beam pipeline with Dataflow, here is how:". What does that pipeline do?
As a user, I was wondering if we have this support for... | false |
1,430,826,100 | https://api.github.com/repos/huggingface/datasets/issues/5179 | https://github.com/huggingface/datasets/issues/5179 | 5,179 | `map()` fails midway due to format incompatibility | closed | 9 | 2022-11-01T03:57:59 | 2022-11-08T11:35:26 | 2022-11-08T11:35:26 | sayakpaul | [
"bug"
] | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | false |
1,430,800,810 | https://api.github.com/repos/huggingface/datasets/issues/5178 | https://github.com/huggingface/datasets/issues/5178 | 5,178 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found! | closed | 3 | 2022-11-01T03:17:55 | 2022-11-02T08:27:15 | 2022-11-02T08:24:29 | beyondguo | [] | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | false |
1,430,238,556 | https://api.github.com/repos/huggingface/datasets/issues/5177 | https://github.com/huggingface/datasets/pull/5177 | 5,177 | Update create image dataset docs | closed | 1 | 2022-10-31T17:45:56 | 2022-11-02T17:15:22 | 2022-11-02T17:13:02 | stevhliu | [
"documentation"
] | Based on @osanseviero and community feedback, it wasn't super clear how to upload a dataset to the Hub after creating something like an image captioning dataset. This PR adds a brief section on how to upload the dataset with `push_to_hub`. | true |
1,430,214,539 | https://api.github.com/repos/huggingface/datasets/issues/5176 | https://github.com/huggingface/datasets/issues/5176 | 5,176 | prepare dataset for cloud storage doesn't work | closed | 2 | 2022-10-31T17:28:57 | 2023-03-28T09:11:46 | 2023-03-28T09:11:45 | araonblake | [] | ### Describe the bug
Following the [documentation](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) and [this PR](https://github.com/huggingface/datasets/pull/4724), I was downloading and storing huggingface dataset to cloud storage.
```
from datasets ... | false |
1,428,696,231 | https://api.github.com/repos/huggingface/datasets/issues/5175 | https://github.com/huggingface/datasets/issues/5175 | 5,175 | Loading an external NER dataset | closed | 0 | 2022-10-30T09:31:55 | 2022-11-01T13:15:49 | 2022-11-01T13:15:49 | Taghreed7878 | [] | I need to use huggingface datasets to load a custom dataset similar to conll2003 but with more entities and each the files contain only two columns: word and ner tag.
I tried this code snnipet that I found here as an answer to a similar issue:
from datasets import Dataset
INPUT_COLUMNS = "ID Text NER".split()
... | false |
1,427,216,416 | https://api.github.com/repos/huggingface/datasets/issues/5174 | https://github.com/huggingface/datasets/pull/5174 | 5,174 | Preserve None in list type cast in PyArrow 10 | closed | 1 | 2022-10-28T12:48:30 | 2022-10-28T13:15:33 | 2022-10-28T13:13:18 | mariosasko | [] | The `ListArray` type in PyArrow 10.0.0 supports the `mask` parameter, which allows us to preserve Nones in nested lists in `cast` instead of replacing them with empty lists.
Fix https://github.com/huggingface/datasets/issues/3676 | true |
1,425,880,441 | https://api.github.com/repos/huggingface/datasets/issues/5173 | https://github.com/huggingface/datasets/pull/5173 | 5,173 | Raise ffmpeg warnings only once | closed | 1 | 2022-10-27T15:58:33 | 2022-10-28T16:03:05 | 2022-10-28T16:00:51 | polinaeterna | [] | Our warnings looks nice now.
`librosa` warning that was raised at each decoding:
```
/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py:165: UserWarning: PySoundFile failed. Trying audioread instead.
warnings.warn("PySoundFile failed. Trying audioread instead.")
```
is suppressed with `filterwarnin... | true |
1,425,523,114 | https://api.github.com/repos/huggingface/datasets/issues/5172 | https://github.com/huggingface/datasets/issues/5172 | 5,172 | Inconsistency behavior between handling local file protocol and other FS protocols | open | 0 | 2022-10-27T12:03:20 | 2024-05-08T19:31:13 | null | leoleoasd | [] | ### Describe the bug
These lines us used during load_from_disk:
```
if is_remote_filesystem(fs):
dest_dataset_dict_path = extract_path_from_uri(dataset_dict_path)
else:
fs = fsspec.filesystem("file")
dest_dataset_dict_path = dataset_dict_path
```
If a local FS is given, then it will the URL as th... | false |
1,425,355,111 | https://api.github.com/repos/huggingface/datasets/issues/5171 | https://github.com/huggingface/datasets/pull/5171 | 5,171 | Add PB and TB in convert_file_size_to_int | closed | 1 | 2022-10-27T09:50:31 | 2022-10-27T12:14:27 | 2022-10-27T12:12:30 | lhoestq | [] | null | true |
1,425,301,835 | https://api.github.com/repos/huggingface/datasets/issues/5170 | https://github.com/huggingface/datasets/issues/5170 | 5,170 | [Caching] Deterministic hashing of torch tensors | closed | 0 | 2022-10-27T09:15:15 | 2022-11-02T17:18:43 | 2022-11-02T17:18:43 | lhoestq | [
"enhancement"
] | Currently this fails
```python
import torch
from datasets.fingerprint import Hasher
t = torch.tensor([1.])
def func(x):
return t + x
hash1 = Hasher.hash(func)
t = torch.tensor([1.])
hash2 = Hasher.hash(func)
assert hash1 == hash2
```
Also as noticed in https://discuss.huggingface.co/t/dataset-ca... | false |
1,425,075,254 | https://api.github.com/repos/huggingface/datasets/issues/5169 | https://github.com/huggingface/datasets/pull/5169 | 5,169 | Add "ipykernel" to list of `co_filename`s to remove | closed | 12 | 2022-10-27T05:56:17 | 2022-11-02T15:46:00 | 2022-11-02T15:43:20 | gpucce | [] | Should resolve #5157 | true |
1,424,368,572 | https://api.github.com/repos/huggingface/datasets/issues/5168 | https://github.com/huggingface/datasets/pull/5168 | 5,168 | Fix CI require beam | closed | 2 | 2022-10-26T16:49:33 | 2022-10-27T09:25:19 | 2022-10-27T09:23:26 | albertvillanova | [] | This PR:
- Fixes the CI `require_beam`: before it was requiring PyTorch instead
```python
def require_beam(test_case):
if not config.TORCH_AVAILABLE:
test_case = unittest.skip("test requires PyTorch")(test_case)
return test_case
```
- Fixes a missing `require_beam` in `test_beam_base... | true |
1,424,124,477 | https://api.github.com/repos/huggingface/datasets/issues/5167 | https://github.com/huggingface/datasets/pull/5167 | 5,167 | Add ffmpeg4 installation instructions in warnings | closed | 3 | 2022-10-26T14:21:14 | 2022-10-27T09:01:12 | 2022-10-27T08:58:58 | polinaeterna | [] | Adds instructions on how to install `ffmpeg=4` on Linux (relevant for Colab users).
Looks pretty ugly because I didn't find a way to check `ffmpeg` version from python (without `subprocess.call()`; `ctypes.util.find_library` doesn't work`), so the warning is raised on each decoding. Any suggestions on how to make it... | true |
1,423,629,582 | https://api.github.com/repos/huggingface/datasets/issues/5166 | https://github.com/huggingface/datasets/pull/5166 | 5,166 | Support dill 0.3.6 | closed | 11 | 2022-10-26T08:24:59 | 2022-10-28T05:41:05 | 2022-10-28T05:38:14 | albertvillanova | [] | This PR:
- ~~Unpins dill to allow installing dill>=0.3.6~~
- ~~Removes the fix on dill for >=0.3.6 because they implemented a deterministic mode (to be confirmed by @anivegesana)~~
- Pins dill<0.3.7 to allow latest dill 0.3.6
- Implements a fix for dill `save_function` for dill 0.3.6
- Additionally had to implemen... | true |
1,423,616,677 | https://api.github.com/repos/huggingface/datasets/issues/5165 | https://github.com/huggingface/datasets/issues/5165 | 5,165 | Memory explosion when trying to access 4d tensors in datasets cast to torch or np | open | 0 | 2022-10-26T08:14:47 | 2022-10-26T08:14:47 | null | clefourrier | [] | ### Describe the bug
When trying to access an item by index, in a datasets.Dataset cast to torch/np using `set_format` or `with_format`, we get a memory explosion if the item contains 4d (or above) tensors.
### Steps to reproduce the bug
MWE:
```python
from datasets import load_dataset
import numpy as np
de... | false |
1,422,813,247 | https://api.github.com/repos/huggingface/datasets/issues/5164 | https://github.com/huggingface/datasets/pull/5164 | 5,164 | WIP: drop labels in Image and Audio folders by default | closed | 2 | 2022-10-25T17:21:49 | 2022-11-16T14:21:16 | 2022-11-02T14:03:02 | polinaeterna | [] | will fix https://github.com/huggingface/datasets/issues/5153 and redundant labels displaying for most of the images datasets on the Hub (which are used just to store files)
TODO: discuss adding `drop_labels` (and `drop_metadata`) params to yaml | true |
1,422,540,337 | https://api.github.com/repos/huggingface/datasets/issues/5163 | https://github.com/huggingface/datasets/pull/5163 | 5,163 | Reduce default max `writer_batch_size` | closed | 1 | 2022-10-25T14:14:52 | 2022-10-27T12:19:27 | 2022-10-27T12:16:47 | mariosasko | [] | Reduce the default writer_batch_size from 10k to 1k examples. Additionally, align the default values of `batch_size` and `writer_batch_size` in `Dataset.cast` with the values from the corresponding docstring. | true |
1,422,461,112 | https://api.github.com/repos/huggingface/datasets/issues/5162 | https://github.com/huggingface/datasets/issues/5162 | 5,162 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6 | closed | 7 | 2022-10-25T13:23:50 | 2022-11-14T08:25:37 | 2022-10-28T05:38:15 | Rijgersberg | [] | ### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `multiprocess`.
### Steps to reproduce the bug
```bash
$ echo "dataset... | false |
1,422,371,748 | https://api.github.com/repos/huggingface/datasets/issues/5161 | https://github.com/huggingface/datasets/issues/5161 | 5,161 | Dataset can’t cache model’s outputs | closed | 1 | 2022-10-25T12:19:00 | 2022-11-03T16:12:52 | 2022-11-03T16:12:51 | jongjyh | [] | ### Describe the bug
Hi,
I try to cache some outputs of teacher model( Knowledge Distillation ) by using map function of Dataset library, while every time I run my code, I still recompute all the sequences. I tested Bert Model like this, I got different hash every single run, so any idea to deal with this?
### Ste... | false |
1,422,193,938 | https://api.github.com/repos/huggingface/datasets/issues/5160 | https://github.com/huggingface/datasets/issues/5160 | 5,160 | Automatically add filename for image/audio folder | open | 10 | 2022-10-25T09:56:49 | 2022-10-26T16:51:46 | null | patrickvonplaten | [
"enhancement"
] | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | false |
1,422,172,080 | https://api.github.com/repos/huggingface/datasets/issues/5159 | https://github.com/huggingface/datasets/pull/5159 | 5,159 | fsspec lock reset in multiprocessing | closed | 1 | 2022-10-25T09:41:59 | 2022-11-03T20:51:15 | 2022-11-03T20:48:53 | lhoestq | [] | `fsspec` added a clean way of resetting its lock - instead of doing it manually | true |
1,422,059,287 | https://api.github.com/repos/huggingface/datasets/issues/5158 | https://github.com/huggingface/datasets/issues/5158 | 5,158 | Fix language and license tag names in all Hub datasets | closed | 6 | 2022-10-25T08:19:29 | 2022-10-25T11:27:26 | 2022-10-25T10:42:19 | albertvillanova | [
"dataset contribution"
] | While working on this:
- #5137
we realized there are still many datasets with deprecated "languages" and "licenses" tag names (instead of "language" and "license").
This is a blocking issue: no subsequent PR can be opened to modify their metadata: a ValueError will be thrown.
We should fix the "language" and ... | false |
1,421,703,577 | https://api.github.com/repos/huggingface/datasets/issues/5157 | https://github.com/huggingface/datasets/issues/5157 | 5,157 | Consistent caching between python and jupyter | closed | 2 | 2022-10-25T01:34:33 | 2022-11-02T15:43:22 | 2022-11-02T15:43:22 | gpucce | [
"enhancement"
] | ### Feature request
I hope this is not my mistake, currently if I use `load_dataset` from a python session on a custom dataset to do the preprocessing, it will be saved in the cache and in other python sessions it will be loaded from the cache, however calling the same from a jupyter notebook does not work, meaning th... | false |
1,421,667,125 | https://api.github.com/repos/huggingface/datasets/issues/5156 | https://github.com/huggingface/datasets/issues/5156 | 5,156 | Unable to download dataset using Azure Data Lake Gen 2 | closed | 4 | 2022-10-25T00:43:18 | 2024-02-15T09:48:36 | 2022-11-17T23:37:08 | clarissesimoes | [] | ### Describe the bug
When using the DatasetBuilder method with the credentials for the cloud storage Azure Data Lake (adl) Gen2, the following error is showed:
```
Traceback (most recent call last):
File "download_hf_dataset.py", line 143, in <module>
main()
File "download_hf_dataset.py", line 102, in mai... | false |
1,421,278,748 | https://api.github.com/repos/huggingface/datasets/issues/5155 | https://github.com/huggingface/datasets/pull/5155 | 5,155 | TextConfig: added "errors" | closed | 3 | 2022-10-24T18:56:52 | 2022-11-03T13:38:13 | 2022-11-03T13:35:35 | NightMachinery | [] | This patch adds the ability to set the `errors` option of `open` for loading text datasets. I needed it because some data I had scraped had bad bytes in it, so I needed `errors='ignore'`. | true |
1,421,161,992 | https://api.github.com/repos/huggingface/datasets/issues/5154 | https://github.com/huggingface/datasets/pull/5154 | 5,154 | Test latest fsspec in CI | closed | 2 | 2022-10-24T17:18:13 | 2023-09-24T10:06:06 | 2022-10-25T09:30:45 | lhoestq | [] | Following the discussion in https://discuss.huggingface.co/t/attributeerror-module-fsspec-has-no-attribute-asyn/19255 I think we need to test the latest fsspec in the CI | true |
1,420,833,457 | https://api.github.com/repos/huggingface/datasets/issues/5153 | https://github.com/huggingface/datasets/issues/5153 | 5,153 | default Image/AudioFolder infers labels when there is no metadata files even if there is only one dir | closed | 1 | 2022-10-24T13:28:18 | 2022-11-15T16:31:10 | 2022-11-15T16:31:09 | polinaeterna | [
"bug"
] | ### Describe the bug
By default FolderBasedBuilder infers labels if there is not metadata files, even if it's meaningless (for example, they are in a single directory or in the root folder, see this repo as an example: https://huggingface.co/datasets/patrickvonplaten/audios
As this is a corner case for quick expl... | false |
1,420,808,919 | https://api.github.com/repos/huggingface/datasets/issues/5152 | https://github.com/huggingface/datasets/issues/5152 | 5,152 | refactor FolderBasedBuilder and Image/AudioFolder tests | open | 0 | 2022-10-24T13:11:52 | 2022-10-24T13:11:52 | null | polinaeterna | [
"refactoring"
] | Tests for FolderBasedBuilder, ImageFolder and AudioFolder are mostly duplicating each other. They need to be refactored and Audio/ImageFolder should have only tests specific to the loader. | false |
1,420,791,163 | https://api.github.com/repos/huggingface/datasets/issues/5151 | https://github.com/huggingface/datasets/issues/5151 | 5,151 | Add support to create different configs with `push_to_hub` (+ inferring configs from directories with package managers?) | open | 1 | 2022-10-24T12:59:18 | 2022-11-04T14:55:20 | null | polinaeterna | [
"enhancement"
] | Now one can push only different splits within one default config of a dataset.
Would be nice to allow something like:
```
ds.push_to_hub(repo_name, config=config_name)
```
I'm not sure, but this will probably require changes in `data_files.py` patterns. If so, it would also allow to create different configs fo... | false |
1,420,684,999 | https://api.github.com/repos/huggingface/datasets/issues/5150 | https://github.com/huggingface/datasets/issues/5150 | 5,150 | Problems after upgrading to 2.6.1 | open | 10 | 2022-10-24T11:32:36 | 2024-05-12T07:40:03 | null | pietrolesci | [] | ### Describe the bug
Loading a dataset_dict from disk with `load_from_disk` is now creating a `KeyError "length"` that was not occurring in v2.5.2.
Context:
- Each individual dataset in the dict is created with `Dataset.from_pandas`
- The dataset_dict is create from a dict of `Dataset`s, e.g., `DatasetDict({"tr... | false |
1,420,415,639 | https://api.github.com/repos/huggingface/datasets/issues/5149 | https://github.com/huggingface/datasets/pull/5149 | 5,149 | Make iter_files deterministic | closed | 1 | 2022-10-24T08:16:27 | 2022-10-27T09:53:23 | 2022-10-27T09:51:09 | albertvillanova | [] | Fix #5145. | true |
1,420,219,222 | https://api.github.com/repos/huggingface/datasets/issues/5148 | https://github.com/huggingface/datasets/issues/5148 | 5,148 | Cannot find the rvl_cdip dataset | closed | 2 | 2022-10-24T04:57:42 | 2022-10-24T12:23:47 | 2022-10-24T06:25:28 | santule | [] | Hi,
I am trying to use load_dataset to load the official "rvl_cdip" dataset but getting an error.
dataset = load_dataset("rvl_cdip")
Couldn't find 'rvl_cdip' on the Hugging Face Hub either: FileNotFoundError: Couldn't find the file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/rvl_cdi... | false |
1,419,522,275 | https://api.github.com/repos/huggingface/datasets/issues/5147 | https://github.com/huggingface/datasets/issues/5147 | 5,147 | Allow ignoring kwargs inside fn_kwargs during dataset.map's fingerprinting | open | 4 | 2022-10-22T21:46:38 | 2022-11-01T22:19:07 | null | falcaopetri | [
"enhancement"
] | ### Feature request
`dataset.map` accepts a `fn_kwargs` that is passed to `fn`. Currently, the whole `fn_kwargs` is used by `fingerprint_transform` to calculate the new fingerprint.
I'd like to be able to inform `fingerprint_transform` which `fn_kwargs` shoud/shouldn't be taken into account during hashing.
Of co... | false |
1,418,331,282 | https://api.github.com/repos/huggingface/datasets/issues/5146 | https://github.com/huggingface/datasets/pull/5146 | 5,146 | Delete duplicate issue template file | closed | 1 | 2022-10-21T13:18:46 | 2022-10-21T13:52:30 | 2022-10-21T13:50:04 | albertvillanova | [] | A conflict between two PRs:
- #5116
- #5136
was not properly resolved, resulting in a duplicate issue template.
This PR removes the duplicate template. | true |
1,418,005,452 | https://api.github.com/repos/huggingface/datasets/issues/5145 | https://github.com/huggingface/datasets/issues/5145 | 5,145 | Dataset order is not deterministic with ZIP archives and `iter_files` | closed | 8 | 2022-10-21T09:00:03 | 2022-10-27T09:51:49 | 2022-10-27T09:51:10 | fxmarty | [] | ### Describe the bug
For the `beans` dataset (did not try on other), the order of samples is not the same on different machines. Tested on my local laptop, github actions machine, and ec2 instance. The three yield a different order.
### Steps to reproduce the bug
In a clean docker container or conda environmen... | false |
1,417,974,731 | https://api.github.com/repos/huggingface/datasets/issues/5144 | https://github.com/huggingface/datasets/issues/5144 | 5,144 | Inconsistent documentation on map remove_columns | closed | 3 | 2022-10-21T08:37:53 | 2022-11-15T14:15:10 | 2022-11-15T14:15:10 | zhaowei-wang-nlp | [
"documentation",
"duplicate",
"good first issue",
"hacktoberfest"
] | ### Describe the bug
The page [process](https://huggingface.co/docs/datasets/process) says this about the parameter `remove_columns` of the function `map`:
When you remove a column, it is only removed after the example has been provided to the mapped function.
So it seems that the `remove_columns` parameter remo... | false |
1,416,837,186 | https://api.github.com/repos/huggingface/datasets/issues/5143 | https://github.com/huggingface/datasets/issues/5143 | 5,143 | DownloadManager Git LFS support | closed | 2 | 2022-10-20T15:29:29 | 2022-10-20T17:17:10 | 2022-10-20T17:17:10 | Muennighoff | [
"enhancement"
] | ### Feature request
Maybe I'm mistaken but the `DownloadManager` does not support extracting git lfs files out of the box right?
Using `dl_manager.download()` or `dl_manager.download_and_extract()` still returns lfs files afaict.
Is there a good way to write a dataset loading script for a repo with lfs files?
##... | false |
1,416,317,678 | https://api.github.com/repos/huggingface/datasets/issues/5142 | https://github.com/huggingface/datasets/pull/5142 | 5,142 | Deprecate num_proc parameter in DownloadManager.extract | closed | 6 | 2022-10-20T09:52:52 | 2022-10-25T18:06:56 | 2022-10-25T15:56:45 | ayushthe1 | [] | fixes #5132 : Deprecated the `num_proc` parameter in `DownloadManager.extract` by passing `num_proc` parameter to `map_nested` . | true |
1,415,479,438 | https://api.github.com/repos/huggingface/datasets/issues/5141 | https://github.com/huggingface/datasets/pull/5141 | 5,141 | Raise ImportError instead of OSError | closed | 2 | 2022-10-19T19:30:05 | 2022-10-25T15:59:25 | 2022-10-25T15:56:58 | ayushthe1 | [] | fixes #5134 : Replaced OSError with ImportError if required extraction library is not installed. | true |
1,415,075,530 | https://api.github.com/repos/huggingface/datasets/issues/5140 | https://github.com/huggingface/datasets/pull/5140 | 5,140 | Make the KeyHasher FIPS compliant | closed | 0 | 2022-10-19T14:25:52 | 2022-11-07T16:20:43 | 2022-11-07T16:20:43 | vvalouch | [] | MD5 is not FIPS compliant thus I am proposing this minimal change to make datasets package FIPS compliant | true |
1,414,642,723 | https://api.github.com/repos/huggingface/datasets/issues/5137 | https://github.com/huggingface/datasets/issues/5137 | 5,137 | Align task tags in dataset metadata | closed | 14 | 2022-10-19T09:41:42 | 2022-11-10T05:25:58 | 2022-10-25T06:17:00 | albertvillanova | [
"dataset contribution"
] | ## Describe
Once we have agreed on a common naming for task tags for all open source projects, we should align on them.
## Steps
- [x] Align task tags in canonical datasets
- [x] task_categories: 4 datasets
- [x] task_ids (by @lhoestq)
- [x] Open PRs in community datasets
- [x] task_categories: 451 datas... | false |
1,414,492,139 | https://api.github.com/repos/huggingface/datasets/issues/5136 | https://github.com/huggingface/datasets/pull/5136 | 5,136 | Update docs once dataset scripts transferred to the Hub | closed | 1 | 2022-10-19T07:58:27 | 2022-10-20T08:12:21 | 2022-10-20T08:10:00 | albertvillanova | [] | Todo:
- [x] Update docs:
- [x] Datasets on GitHub (legacy)
- [x] Load: offline
- [x] About dataset load:
- [x] Maintaining integrity
- [x] Security
- [x] Update docstrings:
- [x] Inspect:
- [x] get_dataset_config_info
- [x] get_dataset_split_names
- [x] Load:
- [x] dataset_modu... | true |
1,414,413,519 | https://api.github.com/repos/huggingface/datasets/issues/5135 | https://github.com/huggingface/datasets/issues/5135 | 5,135 | Update docs once dataset scripts transferred to the Hub | closed | 0 | 2022-10-19T06:58:19 | 2022-10-20T08:10:01 | 2022-10-20T08:10:01 | albertvillanova | [
"documentation"
] | ## Describe the bug
As discussed in:
- https://github.com/huggingface/hub-docs/pull/423#pullrequestreview-1146083701
we should update our docs once dataset scripts have been transferred to the Hub (and removed from GitHub):
- #4974
Concretely:
- [x] Datasets on GitHub (legacy): https://huggingface.co/docs/dat... | false |
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