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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,757,397,507 | https://api.github.com/repos/huggingface/datasets/issues/5959 | https://github.com/huggingface/datasets/issues/5959 | 5,959 | read metric glue.py from local file | closed | 1 | 2023-06-14T17:59:35 | 2023-06-14T18:04:16 | 2023-06-14T18:04:16 | JiazhaoLi | [] | ### Describe the bug
Currently, The server is off-line. I am using the glue metric from the local file downloaded from the hub.
I download / cached datasets using `load_dataset('glue','sst2', cache_dir='/xxx')` to cache them and then in the off-line mode, I use `load_dataset('xxx/glue.py','sst2', cache_dir='/xxx'... | false |
1,757,265,971 | https://api.github.com/repos/huggingface/datasets/issues/5958 | https://github.com/huggingface/datasets/pull/5958 | 5,958 | set dev version | closed | 3 | 2023-06-14T16:26:34 | 2023-06-14T16:34:55 | 2023-06-14T16:26:51 | lhoestq | [] | null | true |
1,757,252,466 | https://api.github.com/repos/huggingface/datasets/issues/5957 | https://github.com/huggingface/datasets/pull/5957 | 5,957 | Release: 2.13.0 | closed | 4 | 2023-06-14T16:17:26 | 2023-06-14T16:33:39 | 2023-06-14T16:24:39 | lhoestq | [] | null | true |
1,756,959,367 | https://api.github.com/repos/huggingface/datasets/issues/5956 | https://github.com/huggingface/datasets/pull/5956 | 5,956 | Fix ArrowExamplesIterable.shard_data_sources | closed | 4 | 2023-06-14T13:50:38 | 2023-06-14T14:43:12 | 2023-06-14T14:33:45 | lhoestq | [] | ArrowExamplesIterable.shard_data_sources was outdated
I also fixed a warning message by not using format_type= in with_format() | true |
1,756,827,133 | https://api.github.com/repos/huggingface/datasets/issues/5955 | https://github.com/huggingface/datasets/issues/5955 | 5,955 | Strange bug in loading local JSON files, using load_dataset | closed | 4 | 2023-06-14T12:46:00 | 2023-06-21T14:42:15 | 2023-06-21T14:42:15 | Night-Quiet | [] | ### Describe the bug
I am using 'load_dataset 'loads a JSON file, but I found a strange bug: an error will be reported when the length of the JSON file exceeds 160000 (uncertain exact number). I have checked the data through the following code and there are no issues. So I cannot determine the true reason for this err... | false |
1,756,572,994 | https://api.github.com/repos/huggingface/datasets/issues/5954 | https://github.com/huggingface/datasets/pull/5954 | 5,954 | Better filenotfound for gated | closed | 3 | 2023-06-14T10:33:10 | 2023-06-14T12:33:27 | 2023-06-14T12:26:31 | lhoestq | [] | close https://github.com/huggingface/datasets/issues/5953
<img width="1292" alt="image" src="https://github.com/huggingface/datasets/assets/42851186/270fe5bc-1739-4878-b7bc-ab6d35336d4d">
| true |
1,756,520,523 | https://api.github.com/repos/huggingface/datasets/issues/5953 | https://github.com/huggingface/datasets/issues/5953 | 5,953 | Bad error message when trying to download gated dataset | closed | 8 | 2023-06-14T10:03:39 | 2023-06-14T16:36:51 | 2023-06-14T12:26:32 | patrickvonplaten | [] | ### Describe the bug
When I attempt to download a model from the Hub that is gated without being logged in, I get a nice error message. E.g.:
E.g.
```sh
Repository Not Found for url: https://huggingface.co/api/models/DeepFloyd/IF-I-XL-v1.0.
Please make sure you specified the correct `repo_id` and `repo_type`.
I... | false |
1,756,481,591 | https://api.github.com/repos/huggingface/datasets/issues/5952 | https://github.com/huggingface/datasets/pull/5952 | 5,952 | Add Arrow builder docs | closed | 3 | 2023-06-14T09:42:46 | 2023-06-14T14:42:31 | 2023-06-14T14:34:39 | lhoestq | [] | following https://github.com/huggingface/datasets/pull/5944 | true |
1,756,363,546 | https://api.github.com/repos/huggingface/datasets/issues/5951 | https://github.com/huggingface/datasets/issues/5951 | 5,951 | What is the Right way to use discofuse dataset?? | closed | 2 | 2023-06-14T08:38:39 | 2023-06-14T13:25:06 | 2023-06-14T12:10:16 | akesh1235 | [] | [Click here for Dataset link](https://huggingface.co/datasets/discofuse/viewer/discofuse-wikipedia/train?row=6)
**Below is the following way, as per my understanding , Is it correct :question: :question:**
The **columns/features from `DiscoFuse dataset`** that will be the **input to the `encoder` and `decoder`** ar... | false |
1,755,197,946 | https://api.github.com/repos/huggingface/datasets/issues/5950 | https://github.com/huggingface/datasets/issues/5950 | 5,950 | Support for data with instance-wise dictionary as features | open | 11 | 2023-06-13T15:49:00 | 2025-04-07T13:20:37 | null | richardwth | [
"enhancement"
] | ### Feature request
I notice that when loading data instances with feature type of python dictionary, the dictionary keys would be broadcast so that every instance has the same set of keys. Please see an example in the Motivation section.
It is possible to avoid this behavior, i.e., load dictionary features as it i... | false |
1,754,843,717 | https://api.github.com/repos/huggingface/datasets/issues/5949 | https://github.com/huggingface/datasets/pull/5949 | 5,949 | Replace metadata utils with `huggingface_hub`'s RepoCard API | closed | 8 | 2023-06-13T13:03:19 | 2023-06-27T16:47:51 | 2023-06-27T16:38:32 | mariosasko | [] | Use `huggingface_hub`'s RepoCard API instead of `DatasetMetadata` for modifying the card's YAML, and deprecate `datasets.utils.metadata` and `datasets.utils.readme`.
After removing these modules, we can also delete `datasets.utils.resources` since the moon landing repo now stores its own version of these resources f... | true |
1,754,794,611 | https://api.github.com/repos/huggingface/datasets/issues/5948 | https://github.com/huggingface/datasets/pull/5948 | 5,948 | Fix sequence of array support for most dtype | closed | 2 | 2023-06-13T12:38:59 | 2023-06-14T15:11:55 | 2023-06-14T15:03:33 | qgallouedec | [] | Fixes #5936
Also, a related fix to #5927 | true |
1,754,359,316 | https://api.github.com/repos/huggingface/datasets/issues/5947 | https://github.com/huggingface/datasets/issues/5947 | 5,947 | Return the audio filename when decoding fails due to corrupt files | open | 2 | 2023-06-13T08:44:09 | 2023-06-14T12:45:01 | null | wetdog | [
"enhancement"
] | ### Feature request
Return the audio filename when the audio decoding fails. Although currently there are some checks for mp3 and opus formats with the library version there are still cases when the audio decoding could fail, eg. Corrupt file.
### Motivation
When you try to load an object file dataset and the... | false |
1,754,234,469 | https://api.github.com/repos/huggingface/datasets/issues/5946 | https://github.com/huggingface/datasets/issues/5946 | 5,946 | IndexError Not Solving -> IndexError: Invalid key: ?? is out of bounds for size 0 or ?? | open | 6 | 2023-06-13T07:34:15 | 2023-07-14T12:04:48 | null | syngokhan | [] | ### Describe the bug
in <cell line: 1>:1 │
│ │
│ /usr/local/lib/python3.10/dist-packages/transformers/trainer.py:1537 in train ... | false |
1,754,084,577 | https://api.github.com/repos/huggingface/datasets/issues/5945 | https://github.com/huggingface/datasets/issues/5945 | 5,945 | Failing to upload dataset to the hub | closed | 3 | 2023-06-13T05:46:46 | 2023-07-24T11:56:40 | 2023-07-24T11:56:40 | Ar770 | [] | ### Describe the bug
Trying to upload a dataset of hundreds of thousands of audio samples (the total volume is not very large, 60 gb) to the hub with push_to_hub, it doesn't work.
From time to time one piece of the data (parquet) gets pushed and then I get RemoteDisconnected even though my internet is stable.
Please... | false |
1,752,882,200 | https://api.github.com/repos/huggingface/datasets/issues/5944 | https://github.com/huggingface/datasets/pull/5944 | 5,944 | Arrow dataset builder to be able to load and stream Arrow datasets | closed | 4 | 2023-06-12T14:21:49 | 2023-06-13T17:36:02 | 2023-06-13T17:29:01 | mariusz-jachimowicz-83 | [] | This adds a Arrow dataset builder to be able to load and stream from already preprocessed Arrow files.
It's related to https://github.com/huggingface/datasets/issues/3035 | true |
1,752,021,681 | https://api.github.com/repos/huggingface/datasets/issues/5942 | https://github.com/huggingface/datasets/pull/5942 | 5,942 | Pass datasets-cli additional args as kwargs to DatasetBuilder in `run_beam.py` | open | 0 | 2023-06-12T06:50:50 | 2023-06-30T09:15:00 | null | graelo | [] | Hi,
Following this <https://discuss.huggingface.co/t/how-to-preprocess-a-wikipedia-dataset-using-dataflowrunner/41991/3>, here is a simple PR to pass any additional args to datasets-cli as kwargs in the DatasetBuilder in `run_beam.py`.
I also took the liberty to add missing setup steps to the `beam.mdx` docs in o... | true |
1,751,838,897 | https://api.github.com/repos/huggingface/datasets/issues/5941 | https://github.com/huggingface/datasets/issues/5941 | 5,941 | Load Data Sets Too Slow In Train Seq2seq Model | closed | 10 | 2023-06-12T03:58:43 | 2023-08-15T02:52:22 | 2023-08-15T02:52:22 | xyx361100238 | [] | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | false |
1,774,389,854 | https://api.github.com/repos/huggingface/datasets/issues/5990 | https://github.com/huggingface/datasets/issues/5990 | 5,990 | Pushing a large dataset on the hub consistently hangs | open | 46 | 2023-06-10T14:46:47 | 2025-02-15T09:29:10 | null | AntreasAntoniou | [
"bug"
] | ### Describe the bug
Once I have locally built a large dataset that I want to push to hub, I use the recommended approach of .push_to_hub to get the dataset on the hub, and after pushing a few shards, it consistently hangs. This has happened over 40 times over the past week, and despite my best efforts to try and catc... | false |
1,749,955,883 | https://api.github.com/repos/huggingface/datasets/issues/5939 | https://github.com/huggingface/datasets/issues/5939 | 5,939 | . | closed | 0 | 2023-06-09T14:01:34 | 2023-06-12T12:19:34 | 2023-06-12T12:19:19 | flckv | [] | null | false |
1,749,462,851 | https://api.github.com/repos/huggingface/datasets/issues/5938 | https://github.com/huggingface/datasets/pull/5938 | 5,938 | Make get_from_cache use custom temp filename that is locked | closed | 2 | 2023-06-09T09:01:13 | 2023-06-14T13:35:38 | 2023-06-14T13:27:24 | albertvillanova | [] | This PR ensures that the temporary filename created is the same as the one that is locked, while writing to the cache.
This PR stops using `tempfile` to generate the temporary filename.
Additionally, the behavior now is aligned for both `resume_download` `True` and `False`.
Refactor temp_file_manager so that i... | true |
1,749,388,597 | https://api.github.com/repos/huggingface/datasets/issues/5937 | https://github.com/huggingface/datasets/pull/5937 | 5,937 | Avoid parallel redownload in cache | closed | 2 | 2023-06-09T08:18:36 | 2023-06-14T12:30:59 | 2023-06-14T12:23:57 | albertvillanova | [] | Avoid parallel redownload in cache by retrying inside the lock if path exists. | true |
1,748,424,388 | https://api.github.com/repos/huggingface/datasets/issues/5936 | https://github.com/huggingface/datasets/issues/5936 | 5,936 | Sequence of array not supported for most dtype | closed | 4 | 2023-06-08T18:18:07 | 2023-06-14T15:03:34 | 2023-06-14T15:03:34 | qgallouedec | [] | ### Describe the bug
Create a dataset composed of sequence of array fails for most dtypes (see code below).
### Steps to reproduce the bug
```python
from datasets import Sequence, Array2D, Features, Dataset
import numpy as np
for dtype in [
"bool", # ok
"int8", # failed
"int16", # failed
... | false |
1,748,090,220 | https://api.github.com/repos/huggingface/datasets/issues/5935 | https://github.com/huggingface/datasets/pull/5935 | 5,935 | Better row group size in push_to_hub | closed | 10 | 2023-06-08T15:01:15 | 2023-06-09T17:47:37 | 2023-06-09T17:40:09 | lhoestq | [] | This is a very simple change that improves `to_parquet` to use a more reasonable row group size for image and audio datasets.
This is especially useful for `push_to_hub` and will provide a better experience with the dataset viewer on HF | true |
1,747,904,840 | https://api.github.com/repos/huggingface/datasets/issues/5934 | https://github.com/huggingface/datasets/pull/5934 | 5,934 | Modify levels of some logging messages | closed | 2 | 2023-06-08T13:31:44 | 2023-07-12T18:21:03 | 2023-07-12T18:21:02 | Laurent2916 | [] | Some warning messages didn't quite sound like warnings so I modified their logging levels to info. | true |
1,747,382,500 | https://api.github.com/repos/huggingface/datasets/issues/5933 | https://github.com/huggingface/datasets/pull/5933 | 5,933 | Fix `to_numpy` when None values in the sequence | closed | 4 | 2023-06-08T08:38:56 | 2023-06-09T13:49:41 | 2023-06-09T13:23:48 | qgallouedec | [] | Closes #5927
I've realized that the error was overlooked during testing due to the presence of only one None value in the sequence.
Unfortunately, it was the only case where the function works as expected. When the sequence contained more than one None value, the function failed. Consequently, I've updated the tests... | true |
1,746,249,161 | https://api.github.com/repos/huggingface/datasets/issues/5932 | https://github.com/huggingface/datasets/pull/5932 | 5,932 | [doc build] Use secrets | closed | 4 | 2023-06-07T16:09:39 | 2023-06-09T10:16:58 | 2023-06-09T09:53:16 | mishig25 | [] | Companion pr to https://github.com/huggingface/doc-builder/pull/379 | true |
1,745,408,784 | https://api.github.com/repos/huggingface/datasets/issues/5931 | https://github.com/huggingface/datasets/issues/5931 | 5,931 | `datasets.map` not reusing cached copy by default | closed | 1 | 2023-06-07T09:03:33 | 2023-06-21T16:15:40 | 2023-06-21T16:15:40 | bhavitvyamalik | [] | ### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processing it again? The only solution I could think of was... | false |
1,745,184,395 | https://api.github.com/repos/huggingface/datasets/issues/5930 | https://github.com/huggingface/datasets/issues/5930 | 5,930 | loading private custom dataset script - authentication error | closed | 1 | 2023-06-07T06:58:23 | 2023-06-15T14:49:21 | 2023-06-15T14:49:20 | flckv | [] | ### Describe the bug
Train model with my custom dataset stored in HuggingFace and loaded with the loading script requires authentication but I am not sure how ?
I am logged in in the terminal, in the browser. I receive this error:
/python3.8/site-packages/datasets/utils/file_utils.py", line 566, in get_from... | false |
1,744,478,456 | https://api.github.com/repos/huggingface/datasets/issues/5929 | https://github.com/huggingface/datasets/issues/5929 | 5,929 | Importing PyTorch reduces multiprocessing performance for map | closed | 2 | 2023-06-06T19:42:25 | 2023-06-16T13:09:12 | 2023-06-16T13:09:12 | Maxscha | [] | ### Describe the bug
I noticed that the performance of my dataset preprocessing with `map(...,num_proc=32)` decreases when PyTorch is imported.
### Steps to reproduce the bug
I created two example scripts to reproduce this behavior:
```
import datasets
datasets.disable_caching()
from datasets import Da... | false |
1,744,098,371 | https://api.github.com/repos/huggingface/datasets/issues/5928 | https://github.com/huggingface/datasets/pull/5928 | 5,928 | Fix link to quickstart docs in README.md | closed | 3 | 2023-06-06T15:23:01 | 2023-06-06T15:52:34 | 2023-06-06T15:43:53 | mariosasko | [] | null | true |
1,744,009,032 | https://api.github.com/repos/huggingface/datasets/issues/5927 | https://github.com/huggingface/datasets/issues/5927 | 5,927 | `IndexError` when indexing `Sequence` of `Array2D` with `None` values | closed | 2 | 2023-06-06T14:36:22 | 2023-06-13T12:39:39 | 2023-06-09T13:23:50 | qgallouedec | [] | ### Describe the bug
Having `None` values in a `Sequence` of `ArrayND` fails.
### Steps to reproduce the bug
```python
from datasets import Array2D, Dataset, Features, Sequence
data = [
[
[[0]],
None,
None,
]
]
feature = Sequence(Array2D((1, 1), dtype="int64"))
dataset =... | false |
1,743,922,028 | https://api.github.com/repos/huggingface/datasets/issues/5926 | https://github.com/huggingface/datasets/issues/5926 | 5,926 | Uncaught exception when generating the splits from a dataset that miss data | open | 1 | 2023-06-06T13:51:01 | 2023-06-07T07:53:16 | null | severo | [] | ### Describe the bug
Dataset https://huggingface.co/datasets/blog_authorship_corpus has an issue with its hosting platform, since https://drive.google.com/u/0/uc?id=1cGy4RNDV87ZHEXbiozABr9gsSrZpPaPz&export=download returns 404 error.
But when trying to generate the split names, we get an exception which is now corr... | false |
1,741,941,436 | https://api.github.com/repos/huggingface/datasets/issues/5925 | https://github.com/huggingface/datasets/issues/5925 | 5,925 | Breaking API change in datasets.list_datasets caused by change in HfApi.list_datasets | closed | 0 | 2023-06-05T14:46:04 | 2023-06-19T17:22:43 | 2023-06-19T17:22:43 | mtkinit | [] | ### Describe the bug
Hi all,
after an update of the `datasets` library, we observer crashes in our code. We relied on `datasets.list_datasets` returning a `list`. Now, after the API of the HfApi.list_datasets was changed and it returns a `list` instead of an `Iterable`, the `datasets.list_datasets` now sometimes re... | false |
1,738,889,236 | https://api.github.com/repos/huggingface/datasets/issues/5924 | https://github.com/huggingface/datasets/pull/5924 | 5,924 | Add parallel module using joblib for Spark | closed | 7 | 2023-06-02T22:25:25 | 2023-06-14T10:25:10 | 2023-06-14T10:15:46 | es94129 | [] | Discussion in https://github.com/huggingface/datasets/issues/5798 | true |
1,737,436,227 | https://api.github.com/repos/huggingface/datasets/issues/5923 | https://github.com/huggingface/datasets/issues/5923 | 5,923 | Cannot import datasets - ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility | closed | 25 | 2023-06-02T04:16:32 | 2024-06-27T10:07:49 | 2024-02-25T16:38:03 | ehuangc | [] | ### Describe the bug
When trying to import datasets, I get a pyarrow ValueError:
Traceback (most recent call last):
File "/Users/edward/test/test.py", line 1, in <module>
import datasets
File "/Users/edward/opt/anaconda3/envs/cs235/lib/python3.9/site-packages/datasets/__init__.py", line 43, in <module>... | false |
1,736,898,953 | https://api.github.com/repos/huggingface/datasets/issues/5922 | https://github.com/huggingface/datasets/issues/5922 | 5,922 | Length of table does not accurately reflect the split | closed | 2 | 2023-06-01T18:56:26 | 2023-06-02T16:13:31 | 2023-06-02T16:13:31 | amogkam | [
"wontfix"
] | ### Describe the bug
I load a Huggingface Dataset and do `train_test_split`. I'm expecting the underlying table for the dataset to also be split, but it's not.
### Steps to reproduce the bug
### Expected behavior... | false |
1,736,563,023 | https://api.github.com/repos/huggingface/datasets/issues/5921 | https://github.com/huggingface/datasets/pull/5921 | 5,921 | Fix streaming parquet with image feature in schema | closed | 4 | 2023-06-01T15:23:10 | 2023-06-02T10:02:54 | 2023-06-02T09:53:11 | lhoestq | [] | It was not reading the feature type from the parquet arrow schema | true |
1,736,196,991 | https://api.github.com/repos/huggingface/datasets/issues/5920 | https://github.com/huggingface/datasets/pull/5920 | 5,920 | Optimize IterableDataset.from_file using ArrowExamplesIterable | closed | 3 | 2023-06-01T12:14:36 | 2023-06-01T12:42:10 | 2023-06-01T12:35:14 | lhoestq | [] | following https://github.com/huggingface/datasets/pull/5893 | true |
1,735,519,227 | https://api.github.com/repos/huggingface/datasets/issues/5919 | https://github.com/huggingface/datasets/pull/5919 | 5,919 | add support for storage_options for load_dataset API | closed | 12 | 2023-06-01T05:52:32 | 2023-07-18T06:14:32 | 2023-07-17T17:02:00 | janineguo | [] | to solve the issue in #5880
1. add s3 support in the link check step, previous we only check `http` and `https`,
2. change the parameter of `use_auth_token` to `download_config` to support both `storage_options` and `use_auth_token` parameter when trying to handle(list, open, read, etc,.) the remote files.
3... | true |
1,735,313,549 | https://api.github.com/repos/huggingface/datasets/issues/5918 | https://github.com/huggingface/datasets/issues/5918 | 5,918 | File not found for audio dataset | open | 1 | 2023-06-01T02:15:29 | 2023-06-11T06:02:25 | null | RobertBaruch | [] | ### Describe the bug
After loading an audio dataset, and looking at a sample entry, the `path` element, which is supposed to be the path to the audio file, doesn't actually exist.
### Steps to reproduce the bug
Run bug.py:
```py
import os.path
from datasets import load_dataset
def run() -> None:
cv1... | false |
1,733,661,588 | https://api.github.com/repos/huggingface/datasets/issues/5917 | https://github.com/huggingface/datasets/pull/5917 | 5,917 | Refactor extensions | closed | 2 | 2023-05-31T08:33:02 | 2023-05-31T13:34:35 | 2023-05-31T13:25:57 | albertvillanova | [] | Related to:
- #5850 | true |
1,732,456,392 | https://api.github.com/repos/huggingface/datasets/issues/5916 | https://github.com/huggingface/datasets/pull/5916 | 5,916 | Unpin responses | closed | 4 | 2023-05-30T14:59:48 | 2023-05-30T18:03:10 | 2023-05-30T17:53:29 | mariosasko | [] | Fix #5906 | true |
1,732,389,984 | https://api.github.com/repos/huggingface/datasets/issues/5915 | https://github.com/huggingface/datasets/pull/5915 | 5,915 | Raise error in `DatasetBuilder.as_dataset` when `file_format` is not `"arrow"` | closed | 4 | 2023-05-30T14:27:55 | 2023-05-31T13:31:21 | 2023-05-31T13:23:54 | mariosasko | [] | Raise an error in `DatasetBuilder.as_dataset` when `file_format != "arrow"` (and fix the docstring)
Fix #5874 | true |
1,731,483,996 | https://api.github.com/repos/huggingface/datasets/issues/5914 | https://github.com/huggingface/datasets/issues/5914 | 5,914 | array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size in Datasets | open | 2 | 2023-05-30T04:25:00 | 2024-10-27T04:09:18 | null | ravenouse | [] | ### Describe the bug
When using the `filter` or `map` function to preprocess a dataset, a ValueError is encountered with the error message "array is too big; arr.size * arr.dtype.itemsize is larger than the maximum possible size."
Detailed error message:
Traceback (most recent call last):
File "data_processing... | false |
1,731,427,484 | https://api.github.com/repos/huggingface/datasets/issues/5913 | https://github.com/huggingface/datasets/issues/5913 | 5,913 | I tried to load a custom dataset using the following statement: dataset = load_dataset('json', data_files=data_files). The dataset contains 50 million text-image pairs, but an error occurred. | closed | 2 | 2023-05-30T02:55:26 | 2023-07-24T12:00:38 | 2023-07-24T12:00:38 | cjt222 | [] | ### Describe the bug
File "/home/kas/.conda/envs/diffusers/lib/python3.7/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
Downloading and preparing dataset json/default to /home/kas/diffusers/examples/dreambooth/cache_data/datasets/json/default-acf423d8c6ef99d0/0.0.0/e347ab1c932092252e717ff3f94... | false |
1,730,299,852 | https://api.github.com/repos/huggingface/datasets/issues/5912 | https://github.com/huggingface/datasets/issues/5912 | 5,912 | Missing elements in `map` a batched dataset | closed | 1 | 2023-05-29T08:09:19 | 2023-07-26T15:48:15 | 2023-07-26T15:48:15 | sachinruk | [] | ### Describe the bug
As outlined [here](https://discuss.huggingface.co/t/length-error-using-map-with-datasets/40969/3?u=sachin), the following collate function drops 5 out of possible 6 elements in the batch (it is 6 because out of the eight, two are bad links in laion). A reproducible [kaggle kernel ](https://www.kag... | false |
1,728,909,790 | https://api.github.com/repos/huggingface/datasets/issues/5910 | https://github.com/huggingface/datasets/issues/5910 | 5,910 | Cannot use both set_format and set_transform | closed | 5 | 2023-05-27T19:22:23 | 2023-07-09T21:40:54 | 2023-06-16T14:41:24 | ybouane | [] | ### Describe the bug
I need to process some data using the set_transform method but I also need the data to be formatted for pytorch before processing it.
I don't see anywhere in the documentation something that says that both methods cannot be used at the same time.
### Steps to reproduce the bug
```
from... | false |
1,728,900,068 | https://api.github.com/repos/huggingface/datasets/issues/5909 | https://github.com/huggingface/datasets/pull/5909 | 5,909 | Use more efficient and idiomatic way to construct list. | closed | 3 | 2023-05-27T18:54:47 | 2023-05-31T15:37:11 | 2023-05-31T13:28:29 | ttsugriy | [] | Using `*` is ~2X faster according to [benchmark](https://colab.research.google.com/gist/ttsugriy/c964a2604edf70c41911b10335729b6a/for-vs-mult.ipynb) with just 4 patterns. This doesn't matter much since this tiny difference is not going to be noticeable, but why not? | true |
1,728,653,935 | https://api.github.com/repos/huggingface/datasets/issues/5908 | https://github.com/huggingface/datasets/issues/5908 | 5,908 | Unbearably slow sorting on big mapped datasets | open | 6 | 2023-05-27T11:08:32 | 2023-06-13T17:45:10 | null | maximxlss | [] | ### Describe the bug
For me, with ~40k lines, sorting took 3.5 seconds on a flattened dataset (including the flatten operation) and 22.7 seconds on a mapped dataset (right after sharding), which is about x5 slowdown. Moreover, it seems like it slows down exponentially with bigger datasets (wasn't able to sort 700k lin... | false |
1,728,648,560 | https://api.github.com/repos/huggingface/datasets/issues/5907 | https://github.com/huggingface/datasets/pull/5907 | 5,907 | Add `flatten_indices` to `DatasetDict` | closed | 2 | 2023-05-27T10:55:44 | 2023-06-01T11:46:35 | 2023-06-01T11:39:36 | maximxlss | [] | Add `flatten_indices` to `DatasetDict` for convinience | true |
1,728,171,113 | https://api.github.com/repos/huggingface/datasets/issues/5906 | https://github.com/huggingface/datasets/issues/5906 | 5,906 | Could you unpin responses version? | closed | 0 | 2023-05-26T20:02:14 | 2023-05-30T17:53:31 | 2023-05-30T17:53:31 | kenimou | [] | ### Describe the bug
Could you unpin [this](https://github.com/huggingface/datasets/blob/main/setup.py#L139) or move it to test requirements? This is a testing library and we also use it for our tests as well. We do not want to use a very outdated version.
### Steps to reproduce the bug
could not install this librar... | false |
1,727,541,392 | https://api.github.com/repos/huggingface/datasets/issues/5905 | https://github.com/huggingface/datasets/issues/5905 | 5,905 | Offer an alternative to Iterable Dataset that allows lazy loading and processing while skipping batches efficiently | open | 1 | 2023-05-26T12:33:02 | 2023-06-15T13:34:18 | null | bruno-hays | [
"enhancement"
] | ### Feature request
I would like a way to resume training from a checkpoint without waiting for a very long time when using an iterable dataset.
### Motivation
I am training models on the speech-recognition task. I have very large datasets that I can't comfortably store on a disk and also quite computationally... | false |
1,727,415,626 | https://api.github.com/repos/huggingface/datasets/issues/5904 | https://github.com/huggingface/datasets/pull/5904 | 5,904 | Validate name parameter in make_file_instructions | closed | 2 | 2023-05-26T11:12:46 | 2023-05-31T07:43:32 | 2023-05-31T07:34:57 | albertvillanova | [] | Validate `name` parameter in `make_file_instructions`.
This way users get more informative error messages, instead of:
```stacktrace
.../huggingface/datasets/src/datasets/arrow_reader.py in make_file_instructions(name, split_infos, instruction, filetype_suffix, prefix_path)
110 name2len = {info.name: info... | true |
1,727,372,549 | https://api.github.com/repos/huggingface/datasets/issues/5903 | https://github.com/huggingface/datasets/pull/5903 | 5,903 | Relax `ci.yml` trigger for `pull_request` based on modified paths | open | 3 | 2023-05-26T10:46:52 | 2023-09-07T15:52:36 | null | alvarobartt | [] | ## What's in this PR?
As of a previous PR at #5902, I've seen that the CI was automatically trigger on any file, in that case when modifying a Jupyter Notebook (.ipynb), which IMO could be skipped, as the modification on the Jupyter Notebook has no effect/impact on the `ci.yml` outcome. So this PR controls the paths... | true |
1,727,342,194 | https://api.github.com/repos/huggingface/datasets/issues/5902 | https://github.com/huggingface/datasets/pull/5902 | 5,902 | Fix `Overview.ipynb` & detach Jupyter Notebooks from `datasets` repository | closed | 13 | 2023-05-26T10:25:01 | 2023-07-25T13:50:06 | 2023-07-25T13:38:33 | alvarobartt | [] | ## What's in this PR?
This PR solves #5887 since there was a mismatch between the tokenizer and the model used, since the tokenizer was `bert-base-cased` while the model was `distilbert-base-case` both for the PyTorch and TensorFlow alternatives. Since DistilBERT doesn't use/need the `token_type_ids`, the `**batch` ... | true |
1,727,179,016 | https://api.github.com/repos/huggingface/datasets/issues/5901 | https://github.com/huggingface/datasets/pull/5901 | 5,901 | Make prepare_split more robust if errors in metadata dataset_info splits | closed | 3 | 2023-05-26T08:48:22 | 2023-06-02T06:06:38 | 2023-06-01T13:39:40 | albertvillanova | [] | This PR uses `split_generator.split_info` as default value for `split_info` if any exception is raised while trying to get `split_generator.name` from `self.info.splits` (this may happen if there is any error in the metadata dataset_info splits).
Please note that `split_info` is only used by the logger.
Fix #5895... | true |
1,727,129,617 | https://api.github.com/repos/huggingface/datasets/issues/5900 | https://github.com/huggingface/datasets/pull/5900 | 5,900 | Fix minor typo in docs loading.mdx | closed | 3 | 2023-05-26T08:10:54 | 2023-05-26T09:34:15 | 2023-05-26T09:25:12 | albertvillanova | [] | Minor fix. | true |
1,726,279,011 | https://api.github.com/repos/huggingface/datasets/issues/5899 | https://github.com/huggingface/datasets/pull/5899 | 5,899 | canonicalize data dir in config ID hash | closed | 2 | 2023-05-25T18:17:10 | 2023-06-02T16:02:15 | 2023-06-02T15:52:04 | kylrth | [] | fixes #5871
The second commit is optional but improves readability. | true |
1,726,190,481 | https://api.github.com/repos/huggingface/datasets/issues/5898 | https://github.com/huggingface/datasets/issues/5898 | 5,898 | Loading The flores data set for specific language | closed | 1 | 2023-05-25T17:08:55 | 2023-05-25T17:21:38 | 2023-05-25T17:21:37 | 106AbdulBasit | [] | ### Describe the bug
I am trying to load the Flores data set
the code which is given is
```
from datasets import load_dataset
dataset = load_dataset("facebook/flores")
```
This gives the error of config name
""ValueError: Config name is missing"
Now if I add some config it gives me the some error
... | false |
1,726,135,494 | https://api.github.com/repos/huggingface/datasets/issues/5897 | https://github.com/huggingface/datasets/pull/5897 | 5,897 | Fix `FixedSizeListArray` casting | closed | 4 | 2023-05-25T16:26:33 | 2023-05-26T12:22:04 | 2023-05-26T11:57:16 | mariosasko | [] | Fix cast on sliced `FixedSizeListArray`s.
Fix #5866 | true |
1,726,022,500 | https://api.github.com/repos/huggingface/datasets/issues/5896 | https://github.com/huggingface/datasets/issues/5896 | 5,896 | HuggingFace does not cache downloaded files aggressively/early enough | closed | 2 | 2023-05-25T15:14:36 | 2024-03-15T15:36:07 | 2024-03-15T15:36:07 | jack-jjm | [] | ### Describe the bug
I wrote the following script:
```
import datasets
dataset = datasets.load.load_dataset("wikipedia", "20220301.en", split="train[:10000]")
```
I ran it and spent 90 minutes downloading a 20GB file. Then I saw:
```
Downloading: 100%|████████████████████████████████████████████████████... | false |
1,725,467,252 | https://api.github.com/repos/huggingface/datasets/issues/5895 | https://github.com/huggingface/datasets/issues/5895 | 5,895 | The dir name and split strings are confused when loading ArmelR/stack-exchange-instruction dataset | closed | 2 | 2023-05-25T09:39:06 | 2023-05-29T02:32:12 | 2023-05-29T02:32:12 | DongHande | [] | ### Describe the bug
When I load the ArmelR/stack-exchange-instruction dataset, I encounter a bug that may be raised by confusing the dir name string and the split string about the dataset.
When I use the script "datasets.load_dataset('ArmelR/stack-exchange-instruction', data_dir="data/finetune", split="train", ... | false |
1,724,774,910 | https://api.github.com/repos/huggingface/datasets/issues/5894 | https://github.com/huggingface/datasets/pull/5894 | 5,894 | Force overwrite existing filesystem protocol | closed | 2 | 2023-05-24T21:41:53 | 2023-05-25T06:52:08 | 2023-05-25T06:42:33 | baskrahmer | [] | Fix #5876 | true |
1,722,519,056 | https://api.github.com/repos/huggingface/datasets/issues/5893 | https://github.com/huggingface/datasets/pull/5893 | 5,893 | Load cached dataset as iterable | closed | 8 | 2023-05-23T17:40:35 | 2023-06-01T11:58:24 | 2023-06-01T11:51:29 | mariusz-jachimowicz-83 | [] | To be used to train models it allows to load an IterableDataset from the cached Arrow file.
See https://github.com/huggingface/datasets/issues/5481 | true |
1,722,503,824 | https://api.github.com/repos/huggingface/datasets/issues/5892 | https://github.com/huggingface/datasets/issues/5892 | 5,892 | User access requests with manual review do not notify the dataset owner | closed | 2 | 2023-05-23T17:27:46 | 2023-07-21T13:55:37 | 2023-07-21T13:55:36 | leondz | [] | ### Describe the bug
When a user access requests are enabled, and new requests are set to Manual Review, the dataset owner should be notified of the pending requests. However, instead, currently nothing happens, and so the dataset request can go unanswered for quite some time until the owner happens to check that part... | false |
1,722,384,135 | https://api.github.com/repos/huggingface/datasets/issues/5891 | https://github.com/huggingface/datasets/pull/5891 | 5,891 | Make split slicing consistent with list slicing | closed | 4 | 2023-05-23T16:04:33 | 2024-01-31T16:00:26 | 2024-01-31T15:54:17 | mariosasko | [] | Fix #1774, fix #5875
| true |
1,722,373,618 | https://api.github.com/repos/huggingface/datasets/issues/5889 | https://github.com/huggingface/datasets/issues/5889 | 5,889 | Token Alignment for input and output data over train and test batch/dataset. | open | 0 | 2023-05-23T15:58:55 | 2023-05-23T15:58:55 | null | akesh1235 | [] | `data`
> DatasetDict({
train: Dataset({
features: ['input', 'output'],
num_rows: 4500
})
test: Dataset({
features: ['input', 'output'],
num_rows: 500
})
})
**# input (in-correct sentence)**
`data['train'][0]['input']`
**>>** 'We are meet sunday 10am12pmET i... | false |
1,722,166,382 | https://api.github.com/repos/huggingface/datasets/issues/5887 | https://github.com/huggingface/datasets/issues/5887 | 5,887 | HuggingsFace dataset example give error | closed | 4 | 2023-05-23T14:09:05 | 2023-07-25T14:01:01 | 2023-07-25T14:01:00 | donhuvy | [] | ### Describe the bug
### Steps to reproduce the bug
Use link as reference document written https://c... | false |
1,721,070,225 | https://api.github.com/repos/huggingface/datasets/issues/5886 | https://github.com/huggingface/datasets/issues/5886 | 5,886 | Use work-stealing algorithm when parallel computing | open | 1 | 2023-05-23T03:08:44 | 2023-05-24T15:30:09 | null | 1014661165 | [
"enhancement"
] | ### Feature request
when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool to execute each shard.It may cause the slowest task ... | false |
1,720,954,440 | https://api.github.com/repos/huggingface/datasets/issues/5885 | https://github.com/huggingface/datasets/pull/5885 | 5,885 | Modify `is_remote_filesystem` to return True for FUSE-mounted paths | closed | 5 | 2023-05-23T01:04:54 | 2024-01-08T18:31:00 | 2024-01-08T18:31:00 | maddiedawson | [] | null | true |
1,722,290,363 | https://api.github.com/repos/huggingface/datasets/issues/5888 | https://github.com/huggingface/datasets/issues/5888 | 5,888 | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | open | 9 | 2023-05-22T18:05:26 | 2023-06-23T03:37:16 | null | AntreasAntoniou | [] | **Is your feature request related to a problem? Please describe.**
I recently chose to use huggingface hub as the home for a large multi modal dataset I've been building. https://huggingface.co/datasets/Antreas/TALI
It combines images, text, audio and video. Now, I could very easily upload a dataset made via datase... | false |
1,719,548,172 | https://api.github.com/repos/huggingface/datasets/issues/5884 | https://github.com/huggingface/datasets/issues/5884 | 5,884 | `Dataset.to_tf_dataset` fails when strings cannot be encoded as `np.bytes_` | closed | 2 | 2023-05-22T12:03:06 | 2023-06-09T16:04:56 | 2023-06-09T16:04:55 | alvarobartt | [] | ### Describe the bug
When loading any dataset that contains a column with strings that are not ASCII-compatible, looping over those records raises the following exception e.g. for `é` character `UnicodeEncodeError: 'ascii' codec can't encode character '\xe9' in position 0: ordinal not in range(128)`.
### Steps to rep... | false |
1,719,527,597 | https://api.github.com/repos/huggingface/datasets/issues/5883 | https://github.com/huggingface/datasets/pull/5883 | 5,883 | Fix string-encoding, make `batch_size` optional, and minor improvements in `Dataset.to_tf_dataset` | closed | 29 | 2023-05-22T11:51:07 | 2023-06-08T11:09:03 | 2023-06-06T16:49:15 | alvarobartt | [] | ## What's in this PR?
This PR addresses some minor fixes and general improvements in the `to_tf_dataset` method of `datasets.Dataset`, to convert a 🤗HuggingFace Dataset as a TensorFlow Dataset.
The main bug solved in this PR comes with the string-encoding, since for safety purposes the internal conversion of `nu... | true |
1,719,402,643 | https://api.github.com/repos/huggingface/datasets/issues/5881 | https://github.com/huggingface/datasets/issues/5881 | 5,881 | Split dataset by node: index error when sharding iterable dataset | open | 5 | 2023-05-22T10:36:13 | 2025-01-31T16:36:30 | null | sanchit-gandhi | [] | ### Describe the bug
Context: we're splitting an iterable dataset by node and then passing it to a torch data loader with multiple workers
When we iterate over it for 5 steps, we don't get an error
When we instead iterate over it for 8 steps, we get an `IndexError` when fetching the data if we have too many wo... | false |
1,719,090,101 | https://api.github.com/repos/huggingface/datasets/issues/5880 | https://github.com/huggingface/datasets/issues/5880 | 5,880 | load_dataset from s3 file system through streaming can't not iterate data | open | 4 | 2023-05-22T07:40:27 | 2023-05-26T12:52:08 | null | janineguo | [] | ### Describe the bug
I have a JSON file in my s3 file system(minio), I can use load_dataset to get the file link, but I can't iterate it
<img width="816" alt="image" src="https://github.com/huggingface/datasets/assets/59083384/cc0778d3-36f3-45b5-ac68-4e7c664c2ed0">
<img width="1144" alt="image" src="https://github.c... | false |
1,718,203,843 | https://api.github.com/repos/huggingface/datasets/issues/5878 | https://github.com/huggingface/datasets/issues/5878 | 5,878 | Prefetching for IterableDataset | open | 7 | 2023-05-20T15:25:40 | 2025-01-24T17:13:55 | null | vyeevani | [
"enhancement"
] | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | false |
1,717,983,961 | https://api.github.com/repos/huggingface/datasets/issues/5877 | https://github.com/huggingface/datasets/issues/5877 | 5,877 | Request for text deduplication feature | open | 4 | 2023-05-20T01:56:00 | 2024-01-25T14:40:09 | null | SupreethRao99 | [
"enhancement"
] | ### Feature request
It would be great if there would be support for high performance, highly scalable text deduplication algorithms as part of the datasets library.
### Motivation
Motivated by this blog post https://huggingface.co/blog/dedup and this library https://github.com/google-research/deduplicate-text-datase... | false |
1,717,978,985 | https://api.github.com/repos/huggingface/datasets/issues/5876 | https://github.com/huggingface/datasets/issues/5876 | 5,876 | Incompatibility with DataLab | closed | 2 | 2023-05-20T01:39:11 | 2023-05-25T06:42:34 | 2023-05-25T06:42:34 | helpmefindaname | [
"good first issue"
] | ### Describe the bug
Hello,
I am currently working on a project where both [DataLab](https://github.com/ExpressAI/DataLab) and [datasets](https://github.com/huggingface/datasets) are subdependencies.
I noticed that I cannot import both libraries, as they both register FileSystems in `fsspec`, expecting the FileSyste... | false |
1,716,770,394 | https://api.github.com/repos/huggingface/datasets/issues/5875 | https://github.com/huggingface/datasets/issues/5875 | 5,875 | Why split slicing doesn't behave like list slicing ? | closed | 1 | 2023-05-19T07:21:10 | 2024-01-31T15:54:18 | 2024-01-31T15:54:18 | astariul | [
"duplicate"
] | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | false |
1,715,708,930 | https://api.github.com/repos/huggingface/datasets/issues/5874 | https://github.com/huggingface/datasets/issues/5874 | 5,874 | Using as_dataset on a "parquet" builder | closed | 1 | 2023-05-18T14:09:03 | 2023-05-31T13:23:55 | 2023-05-31T13:23:55 | rems75 | [] | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
```... | false |
1,713,269,724 | https://api.github.com/repos/huggingface/datasets/issues/5873 | https://github.com/huggingface/datasets/issues/5873 | 5,873 | Allow setting the environment variable for the lock file path | open | 0 | 2023-05-17T07:10:02 | 2023-05-17T07:11:05 | null | xin3he | [
"enhancement"
] | ### Feature request
Add an environment variable to replace the default lock file path.
### Motivation
Usually, dataset path is a read-only path while the lock file needs to be modified each time. It would be convenient if the path can be reset individually.
### Your contribution
```/src/datasets/utils/fi... | false |
1,713,174,662 | https://api.github.com/repos/huggingface/datasets/issues/5872 | https://github.com/huggingface/datasets/pull/5872 | 5,872 | Fix infer module for uppercase extensions | closed | 2 | 2023-05-17T05:56:45 | 2023-05-17T14:26:59 | 2023-05-17T14:19:18 | albertvillanova | [] | Fix the `infer_module_for_data_files` and `infer_module_for_data_files_in_archives` functions when passed a data file name with uppercase extension, e.g. `filename.TXT`.
Before, `None` module was returned. | true |
1,712,573,073 | https://api.github.com/repos/huggingface/datasets/issues/5871 | https://github.com/huggingface/datasets/issues/5871 | 5,871 | data configuration hash suffix depends on uncanonicalized data_dir | closed | 3 | 2023-05-16T18:56:04 | 2023-06-02T15:52:05 | 2023-06-02T15:52:05 | kylrth | [
"good first issue"
] | ### Describe the bug
I am working with the `recipe_nlg` dataset, which requires manual download. Once it's downloaded, I've noticed that the hash in the custom data configuration is different if I add a trailing `/` to my `data_dir`. It took me a while to notice that the hashes were different, and to understand that... | false |
1,712,156,282 | https://api.github.com/repos/huggingface/datasets/issues/5870 | https://github.com/huggingface/datasets/issues/5870 | 5,870 | Behaviour difference between datasets.map and IterableDatasets.map | open | 1 | 2023-05-16T14:32:57 | 2023-05-16T14:36:05 | null | llStringll | [] | ### Describe the bug
All the examples in all the docs mentioned throughout huggingface datasets correspond to datasets object, and not IterableDatasets object. At one point of time, they might have been in sync, but the code for datasets version >=2.9.0 is very different as compared to the docs.
I basically need to ... | false |
1,711,990,003 | https://api.github.com/repos/huggingface/datasets/issues/5869 | https://github.com/huggingface/datasets/issues/5869 | 5,869 | Image Encoding Issue when submitting a Parquet Dataset | closed | 16 | 2023-05-16T09:42:58 | 2023-06-16T12:48:38 | 2023-06-16T09:30:48 | PhilippeMoussalli | [
"bug"
] | ### Describe the bug
Hello,
I'd like to report an issue related to pushing a dataset represented as a Parquet file to a dataset repository using Dask. Here are the details:
We attempted to load an example dataset in Parquet format from the Hugging Face (HF) filesystem using Dask with the following code snippet... | false |
1,711,173,098 | https://api.github.com/repos/huggingface/datasets/issues/5868 | https://github.com/huggingface/datasets/issues/5868 | 5,868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | closed | 2 | 2023-05-16T03:45:42 | 2023-05-17T11:21:36 | 2023-05-17T11:21:36 | zyh3826 | [
"enhancement"
] | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | false |
1,710,656,067 | https://api.github.com/repos/huggingface/datasets/issues/5867 | https://github.com/huggingface/datasets/pull/5867 | 5,867 | Add logic for hashing modules/functions optimized with `torch.compile` | closed | 5 | 2023-05-15T19:03:35 | 2024-01-11T06:30:50 | 2023-11-27T20:03:31 | mariosasko | [] | Fix https://github.com/huggingface/datasets/issues/5839
PS: The `Pickler.save` method is becoming a bit messy, so I plan to refactor the pickler a bit at some point. | true |
1,710,496,993 | https://api.github.com/repos/huggingface/datasets/issues/5866 | https://github.com/huggingface/datasets/issues/5866 | 5,866 | Issue with Sequence features | closed | 1 | 2023-05-15T17:13:29 | 2023-05-26T11:57:17 | 2023-05-26T11:57:17 | alialamiidrissi | [] | ### Describe the bug
Sequences features sometimes causes errors when the specified length is not -1
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Features, ClassLabel, Sequence, Value, Dataset
feats = Features(**{'target': ClassLabel(names=[0, 1]),'x': Sequence(feature=Va... | false |
1,710,455,738 | https://api.github.com/repos/huggingface/datasets/issues/5865 | https://github.com/huggingface/datasets/pull/5865 | 5,865 | Deprecate task api | closed | 9 | 2023-05-15T16:48:24 | 2023-07-10T12:33:59 | 2023-07-10T12:24:01 | mariosasko | [] | The task API is not well adopted in the ecosystem, so this PR deprecates it. The `train_eval_index` is a newer, more flexible solution that should be used instead (I think?).
These are the projects that still use the task API :
* the image classification example in Transformers: [here](https://github.com/huggingfac... | true |
1,710,450,047 | https://api.github.com/repos/huggingface/datasets/issues/5864 | https://github.com/huggingface/datasets/issues/5864 | 5,864 | Slow iteration over Torch tensors | open | 2 | 2023-05-15T16:43:58 | 2024-10-08T10:21:48 | null | crisostomi | [] | ### Describe the bug
I have a problem related to this [issue](https://github.com/huggingface/datasets/issues/5841): I get a way slower iteration when using a Torch dataloader if I use vanilla Numpy tensors or if I first apply a ToTensor transform to the input. In particular, it takes 5 seconds to iterate over the vani... | false |
1,710,335,905 | https://api.github.com/repos/huggingface/datasets/issues/5863 | https://github.com/huggingface/datasets/pull/5863 | 5,863 | Use a new low-memory approach for tf dataset index shuffling | closed | 36 | 2023-05-15T15:28:34 | 2023-06-08T16:40:18 | 2023-06-08T16:32:51 | Rocketknight1 | [] | This PR tries out a new approach to generating the index tensor in `to_tf_dataset`, which should reduce memory usage for very large datasets. I'll need to do some testing before merging it!
Fixes #5855 | true |
1,710,140,646 | https://api.github.com/repos/huggingface/datasets/issues/5862 | https://github.com/huggingface/datasets/issues/5862 | 5,862 | IndexError: list index out of range with data hosted on Zenodo | open | 1 | 2023-05-15T13:47:19 | 2023-09-25T12:09:51 | null | albertvillanova | [
"bug"
] | The dataset viewer sometimes raises an `IndexError`:
```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingface.co/datasets/krr-oxford/OntoLAMA/discussions/1
- https://hu... | false |
1,709,807,340 | https://api.github.com/repos/huggingface/datasets/issues/5861 | https://github.com/huggingface/datasets/pull/5861 | 5,861 | Better error message when combining dataset dicts instead of datasets | closed | 7 | 2023-05-15T10:36:24 | 2023-05-23T10:40:13 | 2023-05-23T10:32:58 | lhoestq | [] | close https://github.com/huggingface/datasets/issues/5851 | true |
1,709,727,460 | https://api.github.com/repos/huggingface/datasets/issues/5860 | https://github.com/huggingface/datasets/pull/5860 | 5,860 | Minor tqdm optim | closed | 3 | 2023-05-15T09:49:37 | 2023-05-17T18:46:46 | 2023-05-17T18:39:35 | lhoestq | [] | Don't create a tqdm progress bar when `disable_tqdm` is passed to `map_nested`.
On my side it sped up some iterable datasets by ~30% when `map_nested` is used extensively to recursively tensorize python dicts. | true |
1,709,554,829 | https://api.github.com/repos/huggingface/datasets/issues/5859 | https://github.com/huggingface/datasets/pull/5859 | 5,859 | Raise TypeError when indexing a dataset with bool | closed | 7 | 2023-05-15T08:08:42 | 2023-05-25T16:31:24 | 2023-05-25T16:23:17 | albertvillanova | [] | Fix #5858. | true |
1,709,332,632 | https://api.github.com/repos/huggingface/datasets/issues/5858 | https://github.com/huggingface/datasets/issues/5858 | 5,858 | Throw an error when dataset improperly indexed | closed | 1 | 2023-05-15T05:15:53 | 2023-05-25T16:23:19 | 2023-05-25T16:23:19 | sarahwie | [] | ### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="validati... | false |
1,709,326,622 | https://api.github.com/repos/huggingface/datasets/issues/5857 | https://github.com/huggingface/datasets/issues/5857 | 5,857 | Adding chemistry dataset/models in huggingface | closed | 1 | 2023-05-15T05:09:49 | 2023-07-21T13:45:40 | 2023-07-21T13:45:40 | knc6 | [
"enhancement"
] | ### Feature request
Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensive ben... | false |
1,709,218,242 | https://api.github.com/repos/huggingface/datasets/issues/5856 | https://github.com/huggingface/datasets/issues/5856 | 5,856 | Error loading natural_questions | closed | 2 | 2023-05-15T02:46:04 | 2023-06-05T09:11:19 | 2023-06-05T09:11:18 | Crownor | [] | ### Describe the bug
When try to load natural_questions through datasets == 2.12.0 with python == 3.8.9:
```python
import datasets
datasets.load_dataset('natural_questions',beam_runner='DirectRunner')
```
It failed with following info:
`pyarrow.lib.ArrowNotImplementedError: Nested data conversions not impl... | false |
1,708,784,943 | https://api.github.com/repos/huggingface/datasets/issues/5855 | https://github.com/huggingface/datasets/issues/5855 | 5,855 | `to_tf_dataset` consumes too much memory | closed | 6 | 2023-05-14T01:22:29 | 2023-06-08T16:32:52 | 2023-06-08T16:32:52 | massquantity | [] | ### Describe the bug
Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://github.... | false |
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