id int64 599M 3.29B | url stringlengths 58 61 | html_url stringlengths 46 51 | number int64 1 7.72k | title stringlengths 1 290 | state stringclasses 2
values | comments int64 0 70 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-08-05 09:28:51 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-08-05 11:39:56 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-08-01 05:15:45 ⌀ | user_login stringlengths 3 26 | labels listlengths 0 4 | body stringlengths 0 228k ⌀ | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,550,084,450 | https://api.github.com/repos/huggingface/datasets/issues/5442 | https://github.com/huggingface/datasets/issues/5442 | 5,442 | OneDrive Integrations with HF Datasets | closed | 2 | 2023-01-19T23:12:08 | 2023-02-24T16:17:51 | 2023-02-24T16:17:51 | Mohammed20201991 | [
"enhancement"
] | ### Feature request
First of all , I would like to thank all community who are developed DataSet storage and make it free available
How to integrate our Onedrive account or any other possible storage clouds (like google drive,...) with the **HF** datasets section.
For example, if I have **50GB** on my **Onedrive*... | false |
1,548,417,594 | https://api.github.com/repos/huggingface/datasets/issues/5441 | https://github.com/huggingface/datasets/pull/5441 | 5,441 | resolving a weird tar extract issue | open | 4 | 2023-01-19T02:17:21 | 2023-01-20T16:49:22 | null | stas00 | [] | ok, every so often, I have been getting a strange failure on dataset install:
```
$ python -c 'import sys; from datasets import load_dataset; ds=load_dataset(sys.argv[1])' HuggingFaceM4/general-pmd-synthetic-testing
No config specified, defaulting to: general-pmd-synthetic-testing/100.unique
Downloading and prep... | true |
1,538,361,143 | https://api.github.com/repos/huggingface/datasets/issues/5440 | https://github.com/huggingface/datasets/pull/5440 | 5,440 | Fix documentation about batch samplers | closed | 3 | 2023-01-18T17:04:27 | 2023-01-18T17:57:29 | 2023-01-18T17:50:04 | thomasw21 | [] | null | true |
1,537,973,564 | https://api.github.com/repos/huggingface/datasets/issues/5439 | https://github.com/huggingface/datasets/issues/5439 | 5,439 | [dataset request] Add Common Voice 12.0 | closed | 2 | 2023-01-18T13:07:05 | 2023-07-21T14:26:10 | 2023-07-21T14:26:09 | MohammedRakib | [
"enhancement"
] | ### Feature request
Please add the common voice 12_0 datasets. Apart from English, a significant amount of audio-data has been added to the other minor-language datasets.
### Motivation
The dataset link:
https://commonvoice.mozilla.org/en/datasets
| false |
1,537,489,730 | https://api.github.com/repos/huggingface/datasets/issues/5438 | https://github.com/huggingface/datasets/pull/5438 | 5,438 | Update actions/checkout in CD Conda release | closed | 2 | 2023-01-18T06:53:15 | 2023-01-18T13:49:51 | 2023-01-18T13:42:49 | albertvillanova | [] | This PR updates the "checkout" GitHub Action to its latest version, as previous ones are deprecated: https://github.blog/changelog/2022-09-22-github-actions-all-actions-will-begin-running-on-node16-instead-of-node12/ | true |
1,536,837,144 | https://api.github.com/repos/huggingface/datasets/issues/5437 | https://github.com/huggingface/datasets/issues/5437 | 5,437 | Can't load png dataset with 4 channel (RGBA) | closed | 3 | 2023-01-17T18:22:27 | 2023-01-18T20:20:15 | 2023-01-18T20:20:15 | WiNE-iNEFF | [] | I try to create dataset which contains about 9000 png images 64x64 in size, and they are all 4-channel (RGBA). When trying to use load_dataset() then a dataset is created from only 2 images. What exactly interferes I can not understand. for extra speed
* Updates `actions/checkout` to `v3` (note that `v2` is [deprecated](https://github.blog/changelog/2022-09-22-github-actions-all-actions-will-begin-running-on-node16-instead... | true |
1,536,099,300 | https://api.github.com/repos/huggingface/datasets/issues/5435 | https://github.com/huggingface/datasets/issues/5435 | 5,435 | Wrong statement in "Load a Dataset in Streaming mode" leads to data leakage | closed | 4 | 2023-01-17T10:04:16 | 2023-01-19T09:56:03 | 2023-01-19T09:56:03 | DanielYang59 | [] | ### Describe the bug
In the [Split your dataset with take and skip](https://huggingface.co/docs/datasets/v1.10.2/dataset_streaming.html#split-your-dataset-with-take-and-skip), it states:
> Using take (or skip) prevents future calls to shuffle from shuffling the dataset shards order, otherwise the taken examples cou... | false |
1,536,090,042 | https://api.github.com/repos/huggingface/datasets/issues/5434 | https://github.com/huggingface/datasets/issues/5434 | 5,434 | sample_dataset module not found | closed | 3 | 2023-01-17T09:57:54 | 2023-01-19T13:52:12 | 2023-01-19T07:55:11 | nickums | [] | null | false |
1,536,017,901 | https://api.github.com/repos/huggingface/datasets/issues/5433 | https://github.com/huggingface/datasets/issues/5433 | 5,433 | Support latest Docker image in CI benchmarks | closed | 3 | 2023-01-17T09:06:08 | 2023-01-18T06:29:08 | 2023-01-18T06:29:08 | albertvillanova | [
"enhancement"
] | Once we find out the root cause of:
- #5431
we should revert the temporary pin on the Docker image version introduced by:
- #5432 | false |
1,535,893,019 | https://api.github.com/repos/huggingface/datasets/issues/5432 | https://github.com/huggingface/datasets/pull/5432 | 5,432 | Fix CI benchmarks by temporarily pinning Docker image version | closed | 2 | 2023-01-17T07:15:31 | 2023-01-17T08:58:22 | 2023-01-17T08:51:17 | albertvillanova | [] | This PR fixes CI benchmarks, by temporarily pinning Docker image version, instead of "latest" tag.
It also updates deprecated `cml-send-comment` command and using `cml comment create` instead.
Fix #5431. | true |
1,535,862,621 | https://api.github.com/repos/huggingface/datasets/issues/5431 | https://github.com/huggingface/datasets/issues/5431 | 5,431 | CI benchmarks are broken: Unknown arguments: runnerPath, path | closed | 0 | 2023-01-17T06:49:57 | 2023-01-18T06:33:24 | 2023-01-17T08:51:18 | albertvillanova | [
"maintenance"
] | Our CI benchmarks are broken, raising `Unknown arguments` error: https://github.com/huggingface/datasets/actions/runs/3932397079/jobs/6724905161
```
Unknown arguments: runnerPath, path
```
Stack trace:
```
100%|██████████| 500/500 [00:01<00:00, 338.98ba/s]
Updating lock file 'dvc.lock'
To track the changes ... | false |
1,535,856,503 | https://api.github.com/repos/huggingface/datasets/issues/5430 | https://github.com/huggingface/datasets/issues/5430 | 5,430 | Support Apache Beam >= 2.44.0 | closed | 1 | 2023-01-17T06:42:12 | 2024-02-06T19:24:21 | 2024-02-06T19:24:21 | albertvillanova | [
"enhancement"
] | Once we find out the root cause of:
- #5426
we should revert the temporary pin on apache-beam introduced by:
- #5429 | false |
1,535,192,687 | https://api.github.com/repos/huggingface/datasets/issues/5429 | https://github.com/huggingface/datasets/pull/5429 | 5,429 | Fix CI by temporarily pinning apache-beam < 2.44.0 | closed | 1 | 2023-01-16T16:20:09 | 2023-01-16T16:51:42 | 2023-01-16T16:49:03 | albertvillanova | [] | Temporarily pin apache-beam < 2.44.0
Fix #5426. | true |
1,535,166,139 | https://api.github.com/repos/huggingface/datasets/issues/5428 | https://github.com/huggingface/datasets/issues/5428 | 5,428 | Load/Save FAISS index using fsspec | closed | 2 | 2023-01-16T16:08:12 | 2023-03-27T15:18:22 | 2023-03-27T15:18:22 | Dref360 | [
"enhancement"
] | ### Feature request
From what I understand `faiss` already support this [link](https://github.com/facebookresearch/faiss/wiki/Index-IO,-cloning-and-hyper-parameter-tuning#generic-io-support)
I would like to use a stream as input to `Dataset.load_faiss_index` and `Dataset.save_faiss_index`.
### Motivation
In... | false |
1,535,162,889 | https://api.github.com/repos/huggingface/datasets/issues/5427 | https://github.com/huggingface/datasets/issues/5427 | 5,427 | Unable to download dataset id_clickbait | closed | 1 | 2023-01-16T16:05:36 | 2023-01-18T09:51:28 | 2023-01-18T09:25:19 | ilos-vigil | [] | ### Describe the bug
I tried to download dataset `id_clickbait`, but receive this error message.
```
FileNotFoundError: Couldn't find file at https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/k42j7x2kpn-1.zip
```
When i open the link using browser, i got this XML data.
```xml
<?xml versi... | false |
1,535,158,555 | https://api.github.com/repos/huggingface/datasets/issues/5426 | https://github.com/huggingface/datasets/issues/5426 | 5,426 | CI tests are broken: SchemaInferenceError | closed | 0 | 2023-01-16T16:02:07 | 2023-06-02T06:40:32 | 2023-01-16T16:49:04 | albertvillanova | [
"bug"
] | CI test (unit, ubuntu-latest, deps-minimum) is broken, raising a `SchemaInferenceError`: see https://github.com/huggingface/datasets/actions/runs/3930901593/jobs/6721492004
```
FAILED tests/test_beam.py::BeamBuilderTest::test_download_and_prepare_sharded - datasets.arrow_writer.SchemaInferenceError: Please pass `feat... | false |
1,534,581,850 | https://api.github.com/repos/huggingface/datasets/issues/5425 | https://github.com/huggingface/datasets/issues/5425 | 5,425 | Sort on multiple keys with datasets.Dataset.sort() | closed | 10 | 2023-01-16T09:22:26 | 2023-02-24T16:15:11 | 2023-02-24T16:15:11 | rocco-fortuna | [
"enhancement",
"good first issue"
] | ### Feature request
From discussion on forum: https://discuss.huggingface.co/t/datasets-dataset-sort-does-not-preserve-ordering/29065/1
`sort()` does not preserve ordering, and it does not support sorting on multiple columns, nor a key function.
The suggested solution:
> ... having something similar to panda... | false |
1,534,394,756 | https://api.github.com/repos/huggingface/datasets/issues/5424 | https://github.com/huggingface/datasets/issues/5424 | 5,424 | When applying `ReadInstruction` to custom load it's not DatasetDict but list of Dataset? | closed | 1 | 2023-01-16T06:54:28 | 2023-02-24T16:19:00 | 2023-02-24T16:19:00 | macabdul9 | [] | ### Describe the bug
I am loading datasets from custom `tsv` files stored locally and applying split instructions for each split. Although the ReadInstruction is being applied correctly and I was expecting it to be `DatasetDict` but instead it is a list of `Dataset`.
### Steps to reproduce the bug
Steps to reproduc... | false |
1,533,385,239 | https://api.github.com/repos/huggingface/datasets/issues/5422 | https://github.com/huggingface/datasets/issues/5422 | 5,422 | Datasets load error for saved github issues | open | 7 | 2023-01-14T17:29:38 | 2023-09-14T11:39:57 | null | folterj | [] | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | false |
1,532,278,307 | https://api.github.com/repos/huggingface/datasets/issues/5421 | https://github.com/huggingface/datasets/issues/5421 | 5,421 | Support case-insensitive Hub dataset name in load_dataset | closed | 1 | 2023-01-13T13:07:07 | 2023-01-13T20:12:32 | 2023-01-13T20:12:32 | severo | [
"enhancement"
] | ### Feature request
The dataset name on the Hub is case-insensitive (see https://github.com/huggingface/moon-landing/pull/2399, internal issue), i.e., https://huggingface.co/datasets/GLUE redirects to https://huggingface.co/datasets/glue.
Ideally, we could load the glue dataset using the following:
```
from d... | false |
1,532,265,742 | https://api.github.com/repos/huggingface/datasets/issues/5420 | https://github.com/huggingface/datasets/pull/5420 | 5,420 | ci: 🎡 remove two obsolete issue templates | closed | 3 | 2023-01-13T12:58:43 | 2023-01-13T13:36:00 | 2023-01-13T13:29:01 | severo | [] | add-dataset is not needed anymore since the "canonical" datasets are on the Hub. And dataset-viewer is managed within the datasets-server project.
See https://github.com/huggingface/datasets/issues/new/choose
<img width="1245" alt="Capture d’écran 2023-01-13 à 13 59 58" src="https://user-images.githubuserconten... | true |
1,531,999,850 | https://api.github.com/repos/huggingface/datasets/issues/5419 | https://github.com/huggingface/datasets/issues/5419 | 5,419 | label_column='labels' in datasets.TextClassification and 'label' or 'label_ids' in transformers.DataColator | closed | 2 | 2023-01-13T09:40:07 | 2023-07-21T14:27:08 | 2023-07-21T14:27:08 | CreatixEA | [] | ### Describe the bug
When preparing a dataset for a task using `datasets.TextClassification`, the output feature is named `labels`. When preparing the trainer using the `transformers.DataCollator` the default column name is `label` if binary or `label_ids` if multi-class problem.
It is required to rename the column... | false |
1,530,111,184 | https://api.github.com/repos/huggingface/datasets/issues/5418 | https://github.com/huggingface/datasets/issues/5418 | 5,418 | Add ProgressBar for `to_parquet` | closed | 4 | 2023-01-12T05:06:20 | 2023-01-24T18:18:24 | 2023-01-24T18:18:24 | zanussbaum | [
"enhancement"
] | ### Feature request
Add a progress bar for `Dataset.to_parquet`, similar to how `to_json` works.
### Motivation
It's a bit frustrating to not know how long a dataset will take to write to file and if it's stuck or not without a progress bar
### Your contribution
Sure I can help if needed | false |
1,526,988,113 | https://api.github.com/repos/huggingface/datasets/issues/5416 | https://github.com/huggingface/datasets/pull/5416 | 5,416 | Fix RuntimeError: Sharding is ambiguous for this dataset | closed | 4 | 2023-01-10T08:43:19 | 2023-01-18T17:12:17 | 2023-01-18T14:09:02 | albertvillanova | [] | This PR fixes the RuntimeError: Sharding is ambiguous for this dataset.
The error for ambiguous sharding will be raised only if num_proc > 1.
Fix #5415, fix #5414.
Fix https://huggingface.co/datasets/ami/discussions/3. | true |
1,526,904,861 | https://api.github.com/repos/huggingface/datasets/issues/5415 | https://github.com/huggingface/datasets/issues/5415 | 5,415 | RuntimeError: Sharding is ambiguous for this dataset | closed | 0 | 2023-01-10T07:36:11 | 2023-01-18T14:09:04 | 2023-01-18T14:09:03 | albertvillanova | [] | ### Describe the bug
When loading some datasets, a RuntimeError is raised.
For example, for "ami" dataset: https://huggingface.co/datasets/ami/discussions/3
```
.../huggingface/datasets/src/datasets/builder.py in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
... | false |
1,525,733,818 | https://api.github.com/repos/huggingface/datasets/issues/5414 | https://github.com/huggingface/datasets/issues/5414 | 5,414 | Sharding error with Multilingual LibriSpeech | closed | 4 | 2023-01-09T14:45:31 | 2023-01-18T14:09:04 | 2023-01-18T14:09:04 | Nithin-Holla | [] | ### Describe the bug
Loading the German Multilingual LibriSpeech dataset results in a RuntimeError regarding sharding with the following stacktrace:
```
Downloading and preparing dataset multilingual_librispeech/german to /home/nithin/datadrive/cache/huggingface/datasets/facebook___multilingual_librispeech/german/... | false |
1,524,591,837 | https://api.github.com/repos/huggingface/datasets/issues/5413 | https://github.com/huggingface/datasets/issues/5413 | 5,413 | concatenate_datasets fails when two dataset with shards > 1 and unequal shard numbers | closed | 1 | 2023-01-08T17:01:52 | 2023-01-26T09:27:21 | 2023-01-26T09:27:21 | ZeguanXiao | [] | ### Describe the bug
When using `concatenate_datasets([dataset1, dataset2], axis = 1)` to concatenate two datasets with shards > 1, it fails:
```
File "/home/xzg/anaconda3/envs/tri-transfer/lib/python3.9/site-packages/datasets/combine.py", line 182, in concatenate_datasets
return _concatenate_map_style_data... | false |
1,524,250,269 | https://api.github.com/repos/huggingface/datasets/issues/5412 | https://github.com/huggingface/datasets/issues/5412 | 5,412 | load_dataset() cannot find dataset_info.json with multiple training runs in parallel | closed | 4 | 2023-01-08T00:44:32 | 2023-01-19T20:28:43 | 2023-01-19T20:28:43 | mtoles | [] | ### Describe the bug
I have a custom local dataset in JSON form. I am trying to do multiple training runs in parallel. The first training run runs with no issue. However, when I start another run on another GPU, the following code throws this error.
If there is a workaround to ignore the cache I think that would ... | false |
1,523,297,786 | https://api.github.com/repos/huggingface/datasets/issues/5411 | https://github.com/huggingface/datasets/pull/5411 | 5,411 | Update docs of S3 filesystem with async aiobotocore | closed | 2 | 2023-01-06T23:19:17 | 2023-01-18T11:18:59 | 2023-01-18T11:12:04 | maheshpec | [] | [s3fs has migrated to all async calls](https://github.com/fsspec/s3fs/commit/0de2c6fb3d87c08ea694de96dca0d0834034f8bf).
Updating documentation to use `AioSession` while using s3fs for download manager as well as working with datasets | true |
1,521,168,032 | https://api.github.com/repos/huggingface/datasets/issues/5410 | https://github.com/huggingface/datasets/pull/5410 | 5,410 | Map-style Dataset to IterableDataset | closed | 22 | 2023-01-05T18:12:17 | 2023-02-01T18:11:45 | 2023-02-01T16:36:01 | lhoestq | [] | Added `ds.to_iterable()` to get an iterable dataset from a map-style arrow dataset.
It also has a `num_shards` argument to split the dataset before converting to an iterable dataset. Sharding is important to enable efficient shuffling and parallel loading of iterable datasets.
TODO:
- [x] tests
- [x] docs
Fi... | true |
1,520,374,219 | https://api.github.com/repos/huggingface/datasets/issues/5409 | https://github.com/huggingface/datasets/pull/5409 | 5,409 | Fix deprecation warning when use_auth_token passed to download_and_prepare | closed | 2 | 2023-01-05T09:10:58 | 2023-01-06T11:06:16 | 2023-01-06T10:59:13 | albertvillanova | [] | The `DatasetBuilder.download_and_prepare` argument `use_auth_token` was deprecated in:
- #5302
However, `use_auth_token` is still passed to `download_and_prepare` in our built-in `io` readers (csv, json, parquet,...).
This PR fixes it, so that no deprecation warning is raised.
Fix #5407. | true |
1,519,890,752 | https://api.github.com/repos/huggingface/datasets/issues/5408 | https://github.com/huggingface/datasets/issues/5408 | 5,408 | dataset map function could not be hash properly | closed | 2 | 2023-01-05T01:59:59 | 2023-01-06T13:22:19 | 2023-01-06T13:22:18 | Tungway1990 | [] | ### Describe the bug
I follow the [blog post](https://huggingface.co/blog/fine-tune-whisper#building-a-demo) to finetune a Cantonese transcribe model.
When using map function to prepare dataset, following warning pop out:
`common_voice = common_voice.map(prepare_dataset,
remove_... | false |
1,519,797,345 | https://api.github.com/repos/huggingface/datasets/issues/5407 | https://github.com/huggingface/datasets/issues/5407 | 5,407 | Datasets.from_sql() generates deprecation warning | closed | 1 | 2023-01-05T00:43:17 | 2023-01-06T10:59:14 | 2023-01-06T10:59:14 | msummerfield | [] | ### Describe the bug
Calling `Datasets.from_sql()` generates a warning:
`.../site-packages/datasets/builder.py:712: FutureWarning: 'use_auth_token' was deprecated in version 2.7.1 and will be removed in 3.0.0. Pass 'use_auth_token' to the initializer/'load_dataset_builder' instead.`
### Steps to reproduce the ... | false |
1,519,140,544 | https://api.github.com/repos/huggingface/datasets/issues/5406 | https://github.com/huggingface/datasets/issues/5406 | 5,406 | [2.6.1][2.7.0] Upgrade `datasets` to fix `TypeError: can only concatenate str (not "int") to str` | open | 11 | 2023-01-04T15:10:04 | 2023-06-21T18:45:38 | null | lhoestq | [] | `datasets` 2.6.1 and 2.7.0 started to stop supporting datasets like IMDB, ConLL or MNIST datasets.
When loading a dataset using 2.6.1 or 2.7.0, you may this error when loading certain datasets:
```python
TypeError: can only concatenate str (not "int") to str
```
This is because we started to update the metadat... | false |
1,517,879,386 | https://api.github.com/repos/huggingface/datasets/issues/5405 | https://github.com/huggingface/datasets/issues/5405 | 5,405 | size_in_bytes the same for all splits | open | 1 | 2023-01-03T20:25:48 | 2023-01-04T09:22:59 | null | Breakend | [] | ### Describe the bug
Hi, it looks like whenever you pull a dataset and get size_in_bytes, it returns the same size for all splits (and that size is the combined size of all splits). It seems like this shouldn't be the intended behavior since it is misleading. Here's an example:
```
>>> from datasets import load_da... | false |
1,517,566,331 | https://api.github.com/repos/huggingface/datasets/issues/5404 | https://github.com/huggingface/datasets/issues/5404 | 5,404 | Better integration of BIG-bench | open | 1 | 2023-01-03T15:37:57 | 2023-02-09T20:30:26 | null | albertvillanova | [
"enhancement"
] | ### Feature request
Ideally, it would be nice to have a maintained PyPI package for `bigbench`.
### Motivation
We'd like to allow anyone to access, explore and use any task.
### Your contribution
@lhoestq has opened an issue in their repo:
- https://github.com/google/BIG-bench/issues/906 | false |
1,517,466,492 | https://api.github.com/repos/huggingface/datasets/issues/5403 | https://github.com/huggingface/datasets/pull/5403 | 5,403 | Replace one letter import in docs | closed | 4 | 2023-01-03T14:26:32 | 2023-01-03T15:06:18 | 2023-01-03T14:59:01 | MKhalusova | [] | This PR updates a code example for consistency across the docs based on [feedback from this comment](https://github.com/huggingface/transformers/pull/20925/files/9fda31634d203a47d3212e4e8d43d3267faf9808#r1058769500):
"In terms of style we usually stay away from one-letter imports like this (even if the community use... | true |
1,517,409,429 | https://api.github.com/repos/huggingface/datasets/issues/5402 | https://github.com/huggingface/datasets/issues/5402 | 5,402 | Missing state.json when creating a cloud dataset using a dataset_builder | open | 3 | 2023-01-03T13:39:59 | 2023-01-04T17:23:57 | null | danielfleischer | [] | ### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session import AioSession as Session
from datasets import load_from_disk, load_da... | false |
1,517,160,935 | https://api.github.com/repos/huggingface/datasets/issues/5401 | https://github.com/huggingface/datasets/pull/5401 | 5,401 | Support Dataset conversion from/to Spark | open | 4 | 2023-01-03T09:57:40 | 2023-01-05T14:21:33 | null | albertvillanova | [] | This PR implements Spark integration by supporting `Dataset` conversion from/to Spark `DataFrame`. | true |
1,517,032,972 | https://api.github.com/repos/huggingface/datasets/issues/5400 | https://github.com/huggingface/datasets/pull/5400 | 5,400 | Support streaming datasets with os.path.exists and Path.exists | closed | 2 | 2023-01-03T07:42:37 | 2023-01-06T10:42:44 | 2023-01-06T10:35:44 | albertvillanova | [] | Support streaming datasets with `os.path.exists` and `pathlib.Path.exists`. | true |
1,515,548,427 | https://api.github.com/repos/huggingface/datasets/issues/5399 | https://github.com/huggingface/datasets/issues/5399 | 5,399 | Got disconnected from remote data host. Retrying in 5sec [2/20] | closed | 0 | 2023-01-01T13:00:11 | 2023-01-02T07:21:52 | 2023-01-02T07:21:52 | alhuri | [] | ### Describe the bug
While trying to upload my image dataset of a CSV file type to huggingface by running the below code. The dataset consists of a little over 100k of image-caption pairs
### Steps to reproduce the bug
```
df = pd.read_csv('x.csv', encoding='utf-8-sig')
features = Features({
'link': Ima... | false |
1,514,425,231 | https://api.github.com/repos/huggingface/datasets/issues/5398 | https://github.com/huggingface/datasets/issues/5398 | 5,398 | Unpin pydantic | closed | 0 | 2022-12-30T10:37:31 | 2022-12-30T10:43:41 | 2022-12-30T10:43:41 | albertvillanova | [] | Once `pydantic` fixes their issue in their 1.10.3 version, unpin it.
See issue:
- #5394
See temporary fix:
- #5395 | false |
1,514,412,246 | https://api.github.com/repos/huggingface/datasets/issues/5397 | https://github.com/huggingface/datasets/pull/5397 | 5,397 | Unpin pydantic test dependency | closed | 2 | 2022-12-30T10:22:09 | 2022-12-30T10:53:11 | 2022-12-30T10:43:40 | albertvillanova | [] | Once pydantic-1.10.3 has been yanked, we can unpin it: https://pypi.org/project/pydantic/1.10.3/
See reply by pydantic team https://github.com/pydantic/pydantic/issues/4885#issuecomment-1367819807
```
v1.10.3 has been yanked.
```
in response to spacy request: https://github.com/pydantic/pydantic/issues/4885#issu... | true |
1,514,002,934 | https://api.github.com/repos/huggingface/datasets/issues/5396 | https://github.com/huggingface/datasets/pull/5396 | 5,396 | Fix checksum verification | closed | 7 | 2022-12-29T19:45:17 | 2023-02-13T11:11:22 | 2023-02-13T11:11:22 | daskol | [] | Expected checksum was verified against checksum dict (not checksum). | true |
1,513,997,335 | https://api.github.com/repos/huggingface/datasets/issues/5395 | https://github.com/huggingface/datasets/pull/5395 | 5,395 | Temporarily pin pydantic test dependency | closed | 3 | 2022-12-29T19:34:19 | 2022-12-30T06:36:57 | 2022-12-29T21:00:26 | albertvillanova | [] | Temporarily pin `pydantic` until a permanent solution is found.
Fix #5394. | true |
1,513,976,229 | https://api.github.com/repos/huggingface/datasets/issues/5394 | https://github.com/huggingface/datasets/issues/5394 | 5,394 | CI error: TypeError: dataclass_transform() got an unexpected keyword argument 'field_specifiers' | closed | 2 | 2022-12-29T18:58:44 | 2022-12-30T10:40:51 | 2022-12-29T21:00:27 | albertvillanova | [] | ### Describe the bug
While installing the dependencies, the CI raises a TypeError:
```
Traceback (most recent call last):
File "/opt/hostedtoolcache/Python/3.7.15/x64/lib/python3.7/runpy.py", line 183, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/opt/hoste... | false |
1,512,908,613 | https://api.github.com/repos/huggingface/datasets/issues/5393 | https://github.com/huggingface/datasets/pull/5393 | 5,393 | Finish deprecating the fs argument | closed | 6 | 2022-12-28T15:33:17 | 2023-01-18T12:42:33 | 2023-01-18T12:35:32 | dconathan | [] | See #5385 for some discussion on this
The `fs=` arg was depcrecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in `2.8.0` (to be removed in `3.0.0`). There are a few other places where the `fs=` arg was still used (functions/methods in `datasets.info` and `datasets.load`). This PR adds a similar beha... | true |
1,512,712,529 | https://api.github.com/repos/huggingface/datasets/issues/5392 | https://github.com/huggingface/datasets/pull/5392 | 5,392 | Fix Colab notebook link | closed | 2 | 2022-12-28T11:44:53 | 2023-01-03T15:36:14 | 2023-01-03T15:27:31 | albertvillanova | [] | Fix notebook link to open in Colab. | true |
1,510,350,400 | https://api.github.com/repos/huggingface/datasets/issues/5391 | https://github.com/huggingface/datasets/issues/5391 | 5,391 | Whisper Event - RuntimeError: The size of tensor a (504) must match the size of tensor b (448) at non-singleton dimension 1 100% 1000/1000 [2:52:21<00:00, 10.34s/it] | closed | 2 | 2022-12-25T15:17:14 | 2023-07-21T14:29:47 | 2023-07-21T14:29:47 | catswithbats | [] | Done in a VM with a GPU (Ubuntu) following the [Whisper Event - PYTHON](https://github.com/huggingface/community-events/tree/main/whisper-fine-tuning-event#python-script) instructions.
Attempted using [RuntimeError: he size of tensor a (504) must match the size of tensor b (448) at non-singleton dimension 1 100% 1... | false |
1,509,357,553 | https://api.github.com/repos/huggingface/datasets/issues/5390 | https://github.com/huggingface/datasets/issues/5390 | 5,390 | Error when pushing to the CI hub | closed | 5 | 2022-12-23T13:36:37 | 2022-12-23T20:29:02 | 2022-12-23T20:29:02 | severo | [] | ### Describe the bug
Note that it's a special case where the Hub URL is "https://hub-ci.huggingface.co", which does not appear if we do the same on the Hub (https://huggingface.co).
The call to `dataset.push_to_hub(` fails:
```
Pushing dataset shards to the dataset hub: 100%|██████████████████████████████████... | false |
1,509,348,626 | https://api.github.com/repos/huggingface/datasets/issues/5389 | https://github.com/huggingface/datasets/pull/5389 | 5,389 | Fix link in `load_dataset` docstring | closed | 6 | 2022-12-23T13:26:31 | 2023-01-25T19:00:43 | 2023-01-24T16:33:38 | mariosasko | [] | Fix https://github.com/huggingface/datasets/issues/5387, fix https://github.com/huggingface/datasets/issues/4566 | true |
1,509,042,348 | https://api.github.com/repos/huggingface/datasets/issues/5388 | https://github.com/huggingface/datasets/issues/5388 | 5,388 | Getting Value Error while loading a dataset.. | closed | 4 | 2022-12-23T08:16:43 | 2022-12-29T08:36:33 | 2022-12-27T17:59:09 | valmetisrinivas | [] | ### Describe the bug
I am trying to load a dataset using Hugging Face Datasets load_dataset method. I am getting the value error as show below. Can someone help with this? I am using Windows laptop and Google Colab notebook.
```
WARNING:datasets.builder:Using custom data configuration default-a1d9e8eaedd958cd
---... | false |
1,508,740,177 | https://api.github.com/repos/huggingface/datasets/issues/5387 | https://github.com/huggingface/datasets/issues/5387 | 5,387 | Missing documentation page : improve-performance | closed | 1 | 2022-12-23T01:12:57 | 2023-01-24T16:33:40 | 2023-01-24T16:33:40 | astariul | [] | ### Describe the bug
Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load_dataset.keep_in_memory
### Steps to reproduce t... | false |
1,508,592,918 | https://api.github.com/repos/huggingface/datasets/issues/5386 | https://github.com/huggingface/datasets/issues/5386 | 5,386 | `max_shard_size` in `datasets.push_to_hub()` breaks with large files | closed | 2 | 2022-12-22T21:50:58 | 2022-12-26T23:45:51 | 2022-12-26T23:45:51 | salieri | [] | ### Describe the bug
`max_shard_size` parameter for `datasets.push_to_hub()` works unreliably with large files, generating shard files that are way past the specified limit.
In my private dataset, which contains unprocessed images of all sizes (up to `~100MB` per file), I've encountered cases where `max_shard_siz... | false |
1,508,535,532 | https://api.github.com/repos/huggingface/datasets/issues/5385 | https://github.com/huggingface/datasets/issues/5385 | 5,385 | Is `fs=` deprecated in `load_from_disk()` as well? | closed | 3 | 2022-12-22T21:00:45 | 2023-01-23T10:50:05 | 2023-01-23T10:50:04 | dconathan | [] | ### Describe the bug
The `fs=` argument was deprecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in favor of automagically figuring it out via fsspec:
https://github.com/huggingface/datasets/blob/9a7272cd4222383a5b932b0083a4cc173fda44e8/src/datasets/arrow_dataset.py#L1339-L1340
Is there a reason the... | false |
1,508,152,598 | https://api.github.com/repos/huggingface/datasets/issues/5384 | https://github.com/huggingface/datasets/pull/5384 | 5,384 | Handle 0-dim tensors in `cast_to_python_objects` | closed | 2 | 2022-12-22T16:15:30 | 2023-01-13T16:10:15 | 2023-01-13T16:00:52 | mariosasko | [] | Fix #5229 | true |
1,507,293,968 | https://api.github.com/repos/huggingface/datasets/issues/5383 | https://github.com/huggingface/datasets/issues/5383 | 5,383 | IterableDataset missing column_names, differs from Dataset interface | closed | 6 | 2022-12-22T05:27:02 | 2023-03-13T19:03:33 | 2023-03-13T19:03:33 | iceboundflame | [
"enhancement",
"good first issue"
] | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | false |
1,504,788,691 | https://api.github.com/repos/huggingface/datasets/issues/5382 | https://github.com/huggingface/datasets/pull/5382 | 5,382 | Raise from disconnect error in xopen | closed | 3 | 2022-12-20T15:52:44 | 2023-01-26T09:51:13 | 2023-01-26T09:42:45 | lhoestq | [] | this way we can know the cause of the disconnect
related to https://github.com/huggingface/datasets/issues/5374 | true |
1,504,498,387 | https://api.github.com/repos/huggingface/datasets/issues/5381 | https://github.com/huggingface/datasets/issues/5381 | 5,381 | Wrong URL for the_pile dataset | closed | 1 | 2022-12-20T12:40:14 | 2023-02-15T16:24:57 | 2023-02-15T16:24:57 | LeoGrin | [] | ### Describe the bug
When trying to load `the_pile` dataset from the library, I get a `FileNotFound` error.
### Steps to reproduce the bug
Steps to reproduce:
Run:
```
from datasets import load_dataset
dataset = load_dataset("the_pile")
```
I get the output:
"name": "FileNotFoundError",
"message... | false |
1,504,404,043 | https://api.github.com/repos/huggingface/datasets/issues/5380 | https://github.com/huggingface/datasets/issues/5380 | 5,380 | Improve dataset `.skip()` speed in streaming mode | open | 10 | 2022-12-20T11:25:23 | 2023-03-08T10:47:12 | null | versae | [
"enhancement",
"good second issue"
] | ### Feature request
Add extra information to the `dataset_infos.json` file to include the number of samples/examples in each shard, for example in a new field `num_examples` alongside `num_bytes`. The `.skip()` function could use this information to ignore the download of a shard when in streaming mode, which AFAICT... | false |
1,504,010,639 | https://api.github.com/repos/huggingface/datasets/issues/5379 | https://github.com/huggingface/datasets/pull/5379 | 5,379 | feat: depth estimation dataset guide. | closed | 8 | 2022-12-20T05:32:11 | 2023-01-13T12:30:31 | 2023-01-13T12:23:34 | sayakpaul | [] | This PR adds a guide for prepping datasets for depth estimation.
PR to add documentation images is up here: https://huggingface.co/datasets/huggingface/documentation-images/discussions/22 | true |
1,503,887,508 | https://api.github.com/repos/huggingface/datasets/issues/5378 | https://github.com/huggingface/datasets/issues/5378 | 5,378 | The dataset "the_pile", subset "enron_emails" , load_dataset() failure | closed | 1 | 2022-12-20T02:19:13 | 2022-12-20T07:52:54 | 2022-12-20T07:52:54 | shaoyuta | [] | ### Describe the bug
When run
"datasets.load_dataset("the_pile","enron_emails")" failure
### Steps to reproduce the bug
Run below code in python cli:
>>> import datasets
>>> datasets.load_dataset(... | false |
1,503,477,833 | https://api.github.com/repos/huggingface/datasets/issues/5377 | https://github.com/huggingface/datasets/pull/5377 | 5,377 | Add a parallel implementation of to_tf_dataset() | closed | 32 | 2022-12-19T19:40:27 | 2023-01-25T16:28:44 | 2023-01-25T16:21:40 | Rocketknight1 | [] | Hey all! Here's a first draft of the PR to add a multiprocessing implementation for `to_tf_dataset()`. It worked in some quick testing for me, but obviously I need to do some much more rigorous testing/benchmarking, and add some proper library tests.
The core idea is that we do everything using `multiprocessing` and... | true |
1,502,730,559 | https://api.github.com/repos/huggingface/datasets/issues/5376 | https://github.com/huggingface/datasets/pull/5376 | 5,376 | set dev version | closed | 1 | 2022-12-19T10:56:56 | 2022-12-19T11:01:55 | 2022-12-19T10:57:16 | lhoestq | [] | null | true |
1,502,720,404 | https://api.github.com/repos/huggingface/datasets/issues/5375 | https://github.com/huggingface/datasets/pull/5375 | 5,375 | Release: 2.8.0 | closed | 1 | 2022-12-19T10:48:26 | 2022-12-19T10:55:43 | 2022-12-19T10:53:15 | lhoestq | [] | null | true |
1,501,872,945 | https://api.github.com/repos/huggingface/datasets/issues/5374 | https://github.com/huggingface/datasets/issues/5374 | 5,374 | Using too many threads results in: Got disconnected from remote data host. Retrying in 5sec | closed | 7 | 2022-12-18T11:38:58 | 2023-07-24T15:23:07 | 2023-07-24T15:23:07 | Muennighoff | [] | ### Describe the bug
`streaming_download_manager` seems to disconnect if too many runs access the same underlying dataset 🧐
The code works fine for me if I have ~100 runs in parallel, but disconnects once scaling to 200.
Possibly related:
- https://github.com/huggingface/datasets/pull/3100
- https://github.com/... | false |
1,501,484,197 | https://api.github.com/repos/huggingface/datasets/issues/5373 | https://github.com/huggingface/datasets/pull/5373 | 5,373 | Simplify skipping | closed | 1 | 2022-12-17T17:23:52 | 2022-12-18T21:43:31 | 2022-12-18T21:40:21 | Muennighoff | [] | Was hoping to find a way to speed up the skipping as I'm running into bottlenecks skipping 100M examples on C4 (it takes 12 hours to skip), but didn't find anything better than this small change :(
Maybe there's a way to directly skip whole shards to speed it up? 🧐 | true |
1,501,377,802 | https://api.github.com/repos/huggingface/datasets/issues/5372 | https://github.com/huggingface/datasets/pull/5372 | 5,372 | Fix streaming pandas.read_excel | closed | 2 | 2022-12-17T12:58:52 | 2023-01-06T11:50:58 | 2023-01-06T11:43:37 | albertvillanova | [] | This PR fixes `xpandas_read_excel`:
- Support passing a path string, besides a file-like object
- Support passing `use_auth_token`
- First assumes the host server supports HTTP range requests; only if a ValueError is thrown (Cannot seek streaming HTTP file), then it preserves previous behavior (see [#3355](https://g... | true |
1,501,369,036 | https://api.github.com/repos/huggingface/datasets/issues/5371 | https://github.com/huggingface/datasets/issues/5371 | 5,371 | Add a robustness benchmark dataset for vision | open | 1 | 2022-12-17T12:35:13 | 2022-12-20T06:21:41 | null | sayakpaul | [
"dataset request"
] | ### Name
ImageNet-C
### Paper
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
### Data
https://github.com/hendrycks/robustness
### Motivation
It's a known fact that vision models are brittle when they meet with slightly corrupted and perturbed data. This is also corre... | false |
1,500,622,276 | https://api.github.com/repos/huggingface/datasets/issues/5369 | https://github.com/huggingface/datasets/pull/5369 | 5,369 | Distributed support | closed | 11 | 2022-12-16T17:43:47 | 2023-07-25T12:00:31 | 2023-01-16T13:33:32 | lhoestq | [] | To split your dataset across your training nodes, you can use the new [`datasets.distributed.split_dataset_by_node`]:
```python
import os
from datasets.distributed import split_dataset_by_node
ds = split_dataset_by_node(ds, rank=int(os.environ["RANK"]), world_size=int(os.environ["WORLD_SIZE"]))
```
This wor... | true |
1,500,322,973 | https://api.github.com/repos/huggingface/datasets/issues/5368 | https://github.com/huggingface/datasets/pull/5368 | 5,368 | Align remove columns behavior and input dict mutation in `map` with previous behavior | closed | 1 | 2022-12-16T14:28:47 | 2022-12-16T16:28:08 | 2022-12-16T16:25:12 | mariosasko | [] | Align the `remove_columns` behavior and input dict mutation in `map` with the behavior before https://github.com/huggingface/datasets/pull/5252. | true |
1,499,174,749 | https://api.github.com/repos/huggingface/datasets/issues/5367 | https://github.com/huggingface/datasets/pull/5367 | 5,367 | Fix remove columns from lazy dict | closed | 1 | 2022-12-15T22:04:12 | 2022-12-15T22:27:53 | 2022-12-15T22:24:50 | lhoestq | [] | This was introduced in https://github.com/huggingface/datasets/pull/5252 and causing the transformers CI to break: https://app.circleci.com/pipelines/github/huggingface/transformers/53886/workflows/522faf2e-a053-454c-94f8-a617fde33393/jobs/648597
Basically this code should return a dataset with only one column:
`... | true |
1,498,530,851 | https://api.github.com/repos/huggingface/datasets/issues/5366 | https://github.com/huggingface/datasets/pull/5366 | 5,366 | ExamplesIterable fixes | closed | 1 | 2022-12-15T14:23:05 | 2022-12-15T14:44:47 | 2022-12-15T14:41:45 | lhoestq | [] | fix typing and ExamplesIterable.shard_data_sources | true |
1,498,422,466 | https://api.github.com/repos/huggingface/datasets/issues/5365 | https://github.com/huggingface/datasets/pull/5365 | 5,365 | fix: image array should support other formats than uint8 | closed | 4 | 2022-12-15T13:17:50 | 2023-01-26T18:46:45 | 2023-01-26T18:39:36 | vigsterkr | [] | Currently images that are provided as ndarrays, but not in `uint8` format are going to loose data. Namely, for example in a depth image where the data is in float32 format, the type-casting to uint8 will basically make the whole image blank.
`PIL.Image.fromarray` [does support mode `F`](https://pillow.readthedocs.io/e... | true |
1,498,360,628 | https://api.github.com/repos/huggingface/datasets/issues/5364 | https://github.com/huggingface/datasets/pull/5364 | 5,364 | Support for writing arrow files directly with BeamWriter | closed | 6 | 2022-12-15T12:38:05 | 2024-01-11T14:52:33 | 2024-01-11T14:45:15 | mariosasko | [] | Make it possible to write Arrow files directly with `BeamWriter` rather than converting from Parquet to Arrow, which is sub-optimal, especially for big datasets for which Beam is primarily used. | true |
1,498,171,317 | https://api.github.com/repos/huggingface/datasets/issues/5363 | https://github.com/huggingface/datasets/issues/5363 | 5,363 | Dataset.from_generator() crashes on simple example | closed | 0 | 2022-12-15T10:21:28 | 2022-12-15T11:51:33 | 2022-12-15T11:51:33 | villmow | [] | null | false |
1,497,643,744 | https://api.github.com/repos/huggingface/datasets/issues/5362 | https://github.com/huggingface/datasets/issues/5362 | 5,362 | Run 'GPT-J' failure due to download dataset fail (' ConnectionError: Couldn't reach http://eaidata.bmk.sh/data/enron_emails.jsonl.zst ' ) | closed | 2 | 2022-12-15T01:23:03 | 2022-12-15T07:45:54 | 2022-12-15T07:45:53 | shaoyuta | [] | ### Describe the bug
Run model "GPT-J" with dataset "the_pile" fail.
The fail out is as below:
Looks like which is due to "http://eaidata.bmk.sh/data/enron_emails.jsonl.zst" unreachable .
### Steps to ... | false |
1,497,153,889 | https://api.github.com/repos/huggingface/datasets/issues/5361 | https://github.com/huggingface/datasets/issues/5361 | 5,361 | How concatenate `Audio` elements using batch mapping | closed | 3 | 2022-12-14T18:13:55 | 2023-07-21T14:30:51 | 2023-07-21T14:30:51 | bayartsogt-ya | [] | ### Describe the bug
I am trying to do concatenate audios in a dataset e.g. `google/fleurs`.
```python
print(dataset)
# Dataset({
# features: ['path', 'audio'],
# num_rows: 24
# })
def mapper_function(batch):
# to merge every 3 audio
# np.concatnate(audios[i: i+3]) for i in range(i, len(batc... | false |
1,496,947,177 | https://api.github.com/repos/huggingface/datasets/issues/5360 | https://github.com/huggingface/datasets/issues/5360 | 5,360 | IterableDataset returns duplicated data using PyTorch DDP | closed | 11 | 2022-12-14T16:06:19 | 2023-06-15T09:51:13 | 2023-01-16T13:33:33 | lhoestq | [] | As mentioned in https://github.com/huggingface/datasets/issues/3423, when using PyTorch DDP the dataset ends up with duplicated data. We already check for the PyTorch `worker_info` for single node, but we should also check for `torch.distributed.get_world_size()` and `torch.distributed.get_rank()` | false |
1,495,297,857 | https://api.github.com/repos/huggingface/datasets/issues/5359 | https://github.com/huggingface/datasets/pull/5359 | 5,359 | Raise error if ClassLabel names is not python list | closed | 3 | 2022-12-13T23:04:06 | 2022-12-22T16:35:49 | 2022-12-22T16:32:49 | freddyheppell | [] | Checks type of names provided to ClassLabel to avoid easy and hard to debug errors (closes #5332 - see for discussion) | true |
1,495,270,822 | https://api.github.com/repos/huggingface/datasets/issues/5358 | https://github.com/huggingface/datasets/pull/5358 | 5,358 | Fix `fs.open` resource leaks | closed | 3 | 2022-12-13T22:35:51 | 2023-01-05T16:46:31 | 2023-01-05T15:59:51 | tkukurin | [] | Invoking `{load,save}_from_dict` results in resource leak warnings, this should fix.
Introduces no significant logic changes. | true |
1,495,029,602 | https://api.github.com/repos/huggingface/datasets/issues/5357 | https://github.com/huggingface/datasets/pull/5357 | 5,357 | Support torch dataloader without torch formatting | closed | 7 | 2022-12-13T19:39:24 | 2023-01-04T12:45:40 | 2022-12-15T19:15:54 | lhoestq | [] | In https://github.com/huggingface/datasets/pull/5084 we make the torch formatting consistent with the map-style datasets formatting: a torch formatted iterable dataset will yield torch tensors.
The previous behavior of the torch formatting for iterable dataset was simply to make the iterable dataset inherit from `to... | true |
1,494,961,609 | https://api.github.com/repos/huggingface/datasets/issues/5356 | https://github.com/huggingface/datasets/pull/5356 | 5,356 | Clean filesystem and logging docstrings | closed | 1 | 2022-12-13T18:54:09 | 2022-12-14T17:25:58 | 2022-12-14T17:22:16 | stevhliu | [] | This PR cleans the `Filesystems` and `Logging` docstrings. | true |
1,493,076,860 | https://api.github.com/repos/huggingface/datasets/issues/5355 | https://github.com/huggingface/datasets/pull/5355 | 5,355 | Clean up Table class docstrings | closed | 1 | 2022-12-13T00:29:47 | 2022-12-13T18:17:56 | 2022-12-13T18:14:42 | stevhliu | [] | This PR cleans up the `Table` class docstrings :) | true |
1,492,174,125 | https://api.github.com/repos/huggingface/datasets/issues/5354 | https://github.com/huggingface/datasets/issues/5354 | 5,354 | Consider using "Sequence" instead of "List" | open | 11 | 2022-12-12T15:39:45 | 2025-06-21T13:56:58 | null | tranhd95 | [
"enhancement",
"good first issue"
] | ### Feature request
Hi, please consider using `Sequence` type annotation instead of `List` in function arguments such as in [`Dataset.from_parquet()`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L1088). It leads to type checking errors, see below.
**How to reproduce**
```py
... | false |
1,491,880,500 | https://api.github.com/repos/huggingface/datasets/issues/5353 | https://github.com/huggingface/datasets/issues/5353 | 5,353 | Support remote file systems for `Audio` | closed | 1 | 2022-12-12T13:22:13 | 2022-12-12T13:37:14 | 2022-12-12T13:37:14 | OllieBroadhurst | [
"enhancement"
] | ### Feature request
Hi there!
It would be super cool if `Audio()`, and potentially other features, could read files from a remote file system.
### Motivation
Large amounts of data is often stored in buckets. `load_from_disk` is able to retrieve data from cloud storage but to my knowledge actually copies the datas... | false |
1,490,796,414 | https://api.github.com/repos/huggingface/datasets/issues/5352 | https://github.com/huggingface/datasets/issues/5352 | 5,352 | __init__() got an unexpected keyword argument 'input_size' | open | 2 | 2022-12-12T02:52:03 | 2022-12-19T01:38:48 | null | J-shel | [] | ### Describe the bug
I try to define a custom configuration with a input_size attribute following the instructions by "Specifying several dataset configurations" in https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html
But when I load the dataset, I got an error "__init__() got an unexpected keyword argument... | false |
1,490,659,504 | https://api.github.com/repos/huggingface/datasets/issues/5351 | https://github.com/huggingface/datasets/issues/5351 | 5,351 | Do we need to implement `_prepare_split`? | closed | 11 | 2022-12-12T01:38:54 | 2022-12-20T18:20:57 | 2022-12-12T16:48:56 | jmwoloso | [] | ### Describe the bug
I'm not sure this is a bug or if it's just missing in the documentation, or i'm not doing something correctly, but I'm subclassing `DatasetBuilder` and getting the following error because on the `DatasetBuilder` class the `_prepare_split` method is abstract (as are the others we are required to im... | false |
1,487,559,904 | https://api.github.com/repos/huggingface/datasets/issues/5350 | https://github.com/huggingface/datasets/pull/5350 | 5,350 | Clean up Loading methods docstrings | closed | 1 | 2022-12-09T22:25:30 | 2022-12-12T17:27:20 | 2022-12-12T17:24:01 | stevhliu | [] | Clean up for the docstrings in Loading methods! | true |
1,487,396,780 | https://api.github.com/repos/huggingface/datasets/issues/5349 | https://github.com/huggingface/datasets/pull/5349 | 5,349 | Clean up remaining Main Classes docstrings | closed | 1 | 2022-12-09T20:17:15 | 2022-12-12T17:27:17 | 2022-12-12T17:24:13 | stevhliu | [] | This PR cleans up the remaining docstrings in Main Classes (`IterableDataset`, `IterableDatasetDict`, and `Features`). | true |
1,486,975,626 | https://api.github.com/repos/huggingface/datasets/issues/5348 | https://github.com/huggingface/datasets/issues/5348 | 5,348 | The data downloaded in the download folder of the cache does not respect `umask` | open | 1 | 2022-12-09T15:46:27 | 2022-12-09T17:21:26 | null | SaulLu | [] | ### Describe the bug
For a project on a cluster we are several users to share the same cache for the datasets library. And we have a problem with the permissions on the data downloaded in the cache.
Indeed, it seems that the data is downloaded by giving read and write permissions only to the user launching the com... | false |
1,486,920,261 | https://api.github.com/repos/huggingface/datasets/issues/5347 | https://github.com/huggingface/datasets/pull/5347 | 5,347 | Force soundfile to return float32 instead of the default float64 | open | 8 | 2022-12-09T15:10:24 | 2023-01-17T16:12:49 | null | qmeeus | [] | (Fixes issue #5345) | true |
1,486,884,983 | https://api.github.com/repos/huggingface/datasets/issues/5346 | https://github.com/huggingface/datasets/issues/5346 | 5,346 | [Quick poll] Give your opinion on the future of the Hugging Face Open Source ecosystem! | closed | 3 | 2022-12-09T14:48:02 | 2023-06-02T20:24:44 | 2023-01-25T19:35:40 | LysandreJik | [] | Thanks to all of you, Datasets is just about to pass 15k stars!
Since the last survey, a lot has happened: the [diffusers](https://github.com/huggingface/diffusers), [evaluate](https://github.com/huggingface/evaluate) and [skops](https://github.com/skops-dev/skops) libraries were born. `timm` joined the Hugging Face... | false |
1,486,555,384 | https://api.github.com/repos/huggingface/datasets/issues/5345 | https://github.com/huggingface/datasets/issues/5345 | 5,345 | Wrong dtype for array in audio features | open | 3 | 2022-12-09T11:05:11 | 2023-02-10T14:39:28 | null | qmeeus | [] | ### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | false |
1,485,628,319 | https://api.github.com/repos/huggingface/datasets/issues/5344 | https://github.com/huggingface/datasets/pull/5344 | 5,344 | Clean up Dataset and DatasetDict | closed | 1 | 2022-12-09T00:02:08 | 2022-12-13T00:56:07 | 2022-12-13T00:53:02 | stevhliu | [] | This PR cleans up the docstrings for the other half of the methods in `Dataset` and finishes `DatasetDict`. | true |
1,485,297,823 | https://api.github.com/repos/huggingface/datasets/issues/5343 | https://github.com/huggingface/datasets/issues/5343 | 5,343 | T5 for Q&A produces truncated sentence | closed | 0 | 2022-12-08T19:48:46 | 2022-12-08T19:57:17 | 2022-12-08T19:57:17 | junyongyou | [] | Dear all, I am fine-tuning T5 for Q&A task using the MedQuAD ([GitHub - abachaa/MedQuAD: Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites](https://github.com/abachaa/MedQuAD)) dataset. In the dataset, there are many long answers with thousands of words. I have used pytorch_lightning to... | false |
1,485,244,178 | https://api.github.com/repos/huggingface/datasets/issues/5342 | https://github.com/huggingface/datasets/issues/5342 | 5,342 | Emotion dataset cannot be downloaded | closed | 7 | 2022-12-08T19:07:09 | 2023-02-23T19:13:19 | 2022-12-09T10:46:11 | cbarond | [
"duplicate"
] | ### Describe the bug
The emotion dataset gives a FileNotFoundError. The full error is: `FileNotFoundError: Couldn't find file at https://www.dropbox.com/s/1pzkadrvffbqw6o/train.txt?dl=1`.
It was working yesterday (December 7, 2022), but stopped working today (December 8, 2022).
### Steps to reproduce the bug
... | false |
1,484,376,644 | https://api.github.com/repos/huggingface/datasets/issues/5341 | https://github.com/huggingface/datasets/pull/5341 | 5,341 | Remove tasks.json | closed | 1 | 2022-12-08T11:04:35 | 2022-12-09T12:26:21 | 2022-12-09T12:23:20 | lhoestq | [] | After discussions in https://github.com/huggingface/datasets/pull/5335 we should remove this file that is not used anymore. We should update https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts instead. | true |
1,483,182,158 | https://api.github.com/repos/huggingface/datasets/issues/5340 | https://github.com/huggingface/datasets/pull/5340 | 5,340 | Clean up DatasetInfo and Dataset docstrings | closed | 1 | 2022-12-08T00:17:53 | 2022-12-08T19:33:14 | 2022-12-08T19:30:10 | stevhliu | [] | This PR cleans up the docstrings for `DatasetInfo` and about half of the methods in `Dataset`. | true |
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