number int64 2 7.91k | title stringlengths 1 290 | body stringlengths 0 228k | state stringclasses 2
values | created_at timestamp[s]date 2020-04-14 18:18:51 2025-12-16 10:45:02 | updated_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 19:34:46 | closed_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 14:20:48 ⌀ | url stringlengths 48 51 | author stringlengths 3 26 ⌀ | comments_count int64 0 70 | labels listlengths 0 4 |
|---|---|---|---|---|---|---|---|---|---|---|
2,714 | add more precise information for size | For the import into ELG, we would like a more precise description of the size of the dataset, instead of the current size categories. The size can be expressed in bytes, or any other preferred size unit. As suggested in the slack channel, perhaps this could be computed with a regex for existing datasets. | OPEN | 2021-07-26T07:11:03 | 2021-07-26T09:16:25 | null | https://github.com/huggingface/datasets/issues/2714 | pennyl67 | 1 | [
"enhancement"
] |
2,709 | Missing documentation for wnut_17 (ner_tags) | On the info page of the wnut_17 data set (https://huggingface.co/datasets/wnut_17), the model output of ner-tags is only documented for these 5 cases:
`ner_tags: a list of classification labels, with possible values including O (0), B-corporation (1), I-corporation (2), B-creative-work (3), I-creative-work (4).`
... | CLOSED | 2021-07-23T12:25:32 | 2021-07-26T09:30:55 | 2021-07-26T09:30:55 | https://github.com/huggingface/datasets/issues/2709 | maxpel | 1 | [
"bug"
] |
2,708 | QASC: incomplete training set | ## Describe the bug
The training instances are not loaded properly.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("qasc", script_version='1.10.2')
def load_instances(split):
instances = dataset[split]
print(f"split: {split} - size: {len(instanc... | CLOSED | 2021-07-22T21:59:44 | 2021-07-23T13:30:07 | 2021-07-23T13:30:07 | https://github.com/huggingface/datasets/issues/2708 | danyaljj | 2 | [
"bug"
] |
2,707 | 404 Not Found Error when loading LAMA dataset | The [LAMA](https://huggingface.co/datasets/viewer/?dataset=lama) probing dataset is not available for download:
Steps to Reproduce:
1. `from datasets import load_dataset`
2. `dataset = load_dataset('lama', 'trex')`.
Results:
`FileNotFoundError: Couldn't find file locally at lama/lama.py, or remotely ... | CLOSED | 2021-07-22T15:52:33 | 2021-07-26T14:29:07 | 2021-07-26T14:29:07 | https://github.com/huggingface/datasets/issues/2707 | dwil2444 | 3 | [] |
2,705 | 404 not found error on loading WIKIANN dataset | ## Describe the bug
Unable to retreive wikiann English dataset
## Steps to reproduce the bug
```python
from datasets import list_datasets, load_dataset, list_metrics, load_metric
WIKIANN = load_dataset("wikiann","en")
```
## Expected results
Colab notebook should display successful download status
## Act... | CLOSED | 2021-07-22T09:55:50 | 2021-07-23T08:07:32 | 2021-07-23T08:07:32 | https://github.com/huggingface/datasets/issues/2705 | ronbutan | 1 | [
"bug"
] |
2,703 | Bad message when config name is missing | When loading a dataset that have several configurations, we expect to see an error message if the user doesn't specify a config name.
However in `datasets` 1.10.0 and 1.10.1 it doesn't show the right message:
```python
import datasets
datasets.load_dataset("glue")
```
raises
```python
AttributeError: 'Bui... | CLOSED | 2021-07-22T09:47:23 | 2021-07-22T10:02:40 | 2021-07-22T10:02:40 | https://github.com/huggingface/datasets/issues/2703 | lhoestq | 0 | [] |
2,700 | from datasets import Dataset is failing | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import Dataset
```
## Expected results
A clear and concise description of the expected results.
## Actual results
Specify the actual results or... | CLOSED | 2021-07-22T03:51:23 | 2021-07-22T07:23:45 | 2021-07-22T07:09:07 | https://github.com/huggingface/datasets/issues/2700 | kswamy15 | 1 | [
"bug"
] |
2,699 | cannot combine splits merging and streaming? | this does not work:
`dataset = datasets.load_dataset('mc4','iw',split='train+validation',streaming=True)`
with error:
`ValueError: Bad split: train+validation. Available splits: ['train', 'validation']`
these work:
`dataset = datasets.load_dataset('mc4','iw',split='train+validation')`
`dataset = datasets.load_d... | OPEN | 2021-07-22T01:13:25 | 2024-04-08T13:26:46 | null | https://github.com/huggingface/datasets/issues/2699 | eyaler | 5 | [
"bug"
] |
2,695 | Cannot import load_dataset on Colab | ## Describe the bug
Got tqdm concurrent module not found error during importing load_dataset from datasets.
## Steps to reproduce the bug
Here [colab notebook](https://colab.research.google.com/drive/1pErWWnVP4P4mVHjSFUtkePd8Na_Qirg4?usp=sharing) to reproduce the error
On colab:
```python
!pip install dataset... | CLOSED | 2021-07-21T15:52:51 | 2021-07-22T07:26:25 | 2021-07-22T07:09:07 | https://github.com/huggingface/datasets/issues/2695 | bayartsogt-ya | 5 | [
"bug"
] |
2,691 | xtreme / pan-x cannot be downloaded | ## Describe the bug
Dataset xtreme / pan-x cannot be loaded
Seems related to https://github.com/huggingface/datasets/pull/2326
## Steps to reproduce the bug
```python
dataset = load_dataset("xtreme", "PAN-X.fr")
```
## Expected results
Load the dataset
## Actual results
```
FileNotFoundError:... | CLOSED | 2021-07-21T14:18:05 | 2021-07-26T09:34:22 | 2021-07-26T09:34:22 | https://github.com/huggingface/datasets/issues/2691 | severo | 5 | [
"bug"
] |
2,689 | cannot save the dataset to disk after rename_column | ## Describe the bug
If you use `rename_column` and do no other modification, you will be unable to save the dataset using `save_to_disk`
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
In [1]: from datasets import Dataset, load_from_disk
In [5]: dataset=Dataset.from_dict({'foo': [0]})... | CLOSED | 2021-07-21T08:13:40 | 2025-02-11T23:23:17 | 2021-07-21T13:11:04 | https://github.com/huggingface/datasets/issues/2689 | PaulLerner | 5 | [
"bug"
] |
2,688 | hebrew language codes he and iw should be treated as aliases | https://huggingface.co/datasets/mc4 not listed when searching for hebrew datasets (he) as it uses the older language code iw, preventing discoverability. | CLOSED | 2021-07-20T23:13:52 | 2021-07-21T16:34:53 | 2021-07-21T16:34:53 | https://github.com/huggingface/datasets/issues/2688 | eyaler | 2 | [
"bug"
] |
2,683 | Cache directories changed due to recent changes in how config kwargs are handled | Since #2659 I can see weird cache directory names with hashes in the config id, even though no additional config kwargs are passed. For example:
```python
from datasets import load_dataset_builder
c4_builder = load_dataset_builder("c4", "en")
print(c4_builder.cache_dir)
# /Users/quentinlhoest/.cache/huggingfac... | CLOSED | 2021-07-20T14:37:57 | 2021-07-20T16:27:15 | 2021-07-20T16:27:15 | https://github.com/huggingface/datasets/issues/2683 | lhoestq | 0 | [] |
2,681 | 5 duplicate datasets | ## Describe the bug
In 5 cases, I could find a dataset on Paperswithcode which references two Hugging Face datasets as dataset loaders. They are:
- https://paperswithcode.com/dataset/multinli -> https://huggingface.co/datasets/multi_nli and https://huggingface.co/datasets/multi_nli_mismatch
<img width="838... | CLOSED | 2021-07-20T14:25:00 | 2021-07-20T15:44:17 | 2021-07-20T15:44:17 | https://github.com/huggingface/datasets/issues/2681 | severo | 2 | [
"bug"
] |
2,679 | Cannot load the blog_authorship_corpus due to codec errors | ## Describe the bug
A codec error is raised while loading the blog_authorship_corpus.
## Steps to reproduce the bug
```
from datasets import load_dataset
raw_datasets = load_dataset("blog_authorship_corpus")
```
## Expected results
Loading the dataset without errors.
## Actual results
An error simila... | CLOSED | 2021-07-20T10:13:20 | 2021-07-21T17:02:21 | 2021-07-21T13:11:58 | https://github.com/huggingface/datasets/issues/2679 | izaskr | 3 | [
"bug"
] |
2,678 | Import Error in Kaggle notebook | ## Describe the bug
Not able to import datasets library in kaggle notebooks
## Steps to reproduce the bug
```python
!pip install datasets
import datasets
```
## Expected results
No such error
## Actual results
```
ImportError Traceback (most recent call last)
<ipython-inp... | CLOSED | 2021-07-20T09:28:38 | 2021-07-21T13:59:26 | 2021-07-21T13:03:02 | https://github.com/huggingface/datasets/issues/2678 | prikmm | 4 | [
"bug"
] |
2,677 | Error when downloading C4 | Hi,
I am trying to download `en` corpus from C4 dataset. However, I get an error caused by validation files download (see image). My code is very primitive:
`datasets.load_dataset('c4', 'en')`
Is this a bug or do I have some configurations missing on my server?
Thanks!
<img width="1014" alt="Снимок экрана 2... | CLOSED | 2021-07-20T08:37:30 | 2021-07-20T14:41:31 | 2021-07-20T14:38:10 | https://github.com/huggingface/datasets/issues/2677 | Aktsvigun | 3 | [
"bug"
] |
2,670 | Using sharding to parallelize indexing | **Is your feature request related to a problem? Please describe.**
Creating an elasticsearch index on large dataset could be quite long and cannot be parallelized on shard (the index creation is colliding)
**Describe the solution you'd like**
When working on dataset shards, if an index already exists, its mapping ... | OPEN | 2021-07-18T21:26:26 | 2021-10-07T13:33:25 | null | https://github.com/huggingface/datasets/issues/2670 | ggdupont | 0 | [
"enhancement"
] |
2,669 | Metric kwargs are not passed to underlying external metric f1_score | ## Describe the bug
When I want to use F1 score with average="min", this keyword argument does not seem to be passed through to the underlying sklearn metric. This is evident because [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) throws an error telling me so.
## Steps to... | CLOSED | 2021-07-18T08:32:31 | 2021-07-18T18:36:05 | 2021-07-18T11:19:04 | https://github.com/huggingface/datasets/issues/2669 | BramVanroy | 2 | [
"bug"
] |
2,663 | [`to_json`] add multi-proc sharding support | As discussed on slack it appears that `to_json` is quite slow on huge datasets like OSCAR.
I implemented sharded saving, which is much much faster - but the tqdm bars all overwrite each other, so it's hard to make sense of the progress, so if possible ideally this multi-proc support could be implemented internally i... | CLOSED | 2021-07-16T19:41:50 | 2021-09-13T13:56:37 | 2021-09-13T13:56:37 | https://github.com/huggingface/datasets/issues/2663 | stas00 | 2 | [
"enhancement"
] |
2,658 | Can't pass `sep=None` to load_dataset("csv", ...) to infer the separator via pandas.read_csv | When doing `load_dataset("csv", sep=None)`, the `sep` passed to `pd.read_csv` is still the default `sep=","` instead, which makes it impossible to make the csv loader infer the separator.
Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | CLOSED | 2021-07-16T10:05:44 | 2021-07-16T12:46:06 | 2021-07-16T12:46:06 | https://github.com/huggingface/datasets/issues/2658 | lhoestq | 0 | [] |
2,657 | `to_json` reporting enhancements | While using `to_json` 2 things came to mind that would have made the experience easier on the user:
1. Could we have a `desc` arg for the tqdm use and a fallback to just `to_json` so that it'd be clear to the user what's happening? Surely, one can just print the description before calling json, but I thought perhaps... | OPEN | 2021-07-15T23:32:18 | 2021-07-15T23:33:53 | null | https://github.com/huggingface/datasets/issues/2657 | stas00 | 0 | [
"enhancement"
] |
2,655 | Allow the selection of multiple columns at once | **Is your feature request related to a problem? Please describe.**
Similar to pandas, it would be great if we could select multiple columns at once.
**Describe the solution you'd like**
```python
my_dataset = ... # Has columns ['idx', 'sentence', 'label']
idx, label = my_dataset[['idx', 'label']]
```
**... | CLOSED | 2021-07-15T13:30:45 | 2024-01-09T15:11:27 | 2024-01-09T07:46:28 | https://github.com/huggingface/datasets/issues/2655 | Dref360 | 5 | [
"enhancement"
] |
2,654 | Give a user feedback if the dataset he loads is streamable or not | **Is your feature request related to a problem? Please describe.**
I would love to know if a `dataset` is with the current implementation streamable or not.
**Describe the solution you'd like**
We could show a warning when a dataset is loaded with `load_dataset('...',streaming=True)` when its lot streamable, e.g.... | OPEN | 2021-07-15T09:07:27 | 2021-08-02T11:03:21 | null | https://github.com/huggingface/datasets/issues/2654 | philschmid | 2 | [
"enhancement"
] |
2,653 | Add SD task for SUPERB | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
Steps:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Up... | CLOSED | 2021-07-15T07:51:40 | 2021-08-04T17:03:52 | 2021-08-04T17:03:52 | https://github.com/huggingface/datasets/issues/2653 | albertvillanova | 2 | [
"dataset request"
] |
2,651 | Setting log level higher than warning does not suppress progress bar | ## Describe the bug
I would like to disable progress bars for `.map` method (and other methods like `.filter` and `load_dataset` as well).
According to #1627 one can suppress it by setting log level higher than `warning`, however doing so doesn't suppress it with version 1.9.0.
I also tried to set `DATASETS_VERBOS... | CLOSED | 2021-07-14T21:06:51 | 2022-07-08T14:51:57 | 2021-07-15T03:41:35 | https://github.com/huggingface/datasets/issues/2651 | Isa-rentacs | 7 | [
"bug"
] |
2,650 | [load_dataset] shard and parallelize the process | - Some huge datasets take forever to build the first time. (e.g. oscar/en) as it's done in a single cpu core.
- If the build crashes, everything done up to that point gets lost
Request: Shard the build over multiple arrow files, which would enable:
- much faster build by parallelizing the build process
- if the p... | CLOSED | 2021-07-14T18:04:58 | 2023-11-28T19:11:41 | 2023-11-28T19:11:40 | https://github.com/huggingface/datasets/issues/2650 | stas00 | 4 | [
"enhancement"
] |
2,649 | adding progress bar / ETA for `load_dataset` | Please consider:
```
Downloading and preparing dataset oscar/unshuffled_deduplicated_en (download: 462.40 GiB, generated: 1.18 TiB, post-processed: Unknown size, total: 1.63 TiB) to cache/oscar/unshuffled_deduplicated_en/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2...
HF google storage unre... | OPEN | 2021-07-14T17:34:39 | 2023-03-27T10:32:49 | null | https://github.com/huggingface/datasets/issues/2649 | stas00 | 2 | [
"enhancement"
] |
2,648 | Add web_split dataset for Paraphase and Rephrase benchmark | ## Describe:
For getting simple sentences from complex sentence there are dataset and task like wiki_split that is available in hugging face datasets. This web_split is a very similar dataset. There some research paper which states that by combining these two datasets we if we train the model it will yield better resu... | OPEN | 2021-07-14T14:24:36 | 2021-07-14T14:26:12 | null | https://github.com/huggingface/datasets/issues/2648 | bhadreshpsavani | 1 | [
"enhancement"
] |
2,646 | downloading of yahoo_answers_topics dataset failed | ## Describe the bug
I get an error datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files when I try to download the yahoo_answers_topics dataset
## Steps to reproduce the bug
self.dataset = load_dataset(
'yahoo_answers_topics', cache_dir=self.config... | CLOSED | 2021-07-14T12:31:05 | 2022-08-04T08:28:24 | 2022-08-04T08:28:24 | https://github.com/huggingface/datasets/issues/2646 | vikrant7k | 2 | [
"bug"
] |
2,645 | load_dataset processing failed with OS error after downloading a dataset | ## Describe the bug
After downloading a dataset like opus100, there is a bug that
OSError: Cannot find data file.
Original error:
dlopen: cannot load any more object with static TLS
## Steps to reproduce the bug
```python
from datasets import load_dataset
this_dataset = load_dataset('opus100', 'af-en')
```
... | CLOSED | 2021-07-14T12:23:53 | 2021-07-15T09:34:02 | 2021-07-15T09:34:02 | https://github.com/huggingface/datasets/issues/2645 | fake-warrior8 | 2 | [
"bug"
] |
2,644 | Batched `map` not allowed to return 0 items | ## Describe the bug
I'm trying to use `map` to filter a large dataset by selecting rows that match an expensive condition (files referenced by one of the columns need to exist in the filesystem, so we have to `stat` them). According to [the documentation](https://huggingface.co/docs/datasets/processing.html#augmenting... | CLOSED | 2021-07-14T09:58:19 | 2021-07-26T14:55:15 | 2021-07-26T14:55:15 | https://github.com/huggingface/datasets/issues/2644 | pcuenca | 6 | [
"bug"
] |
2,643 | Enum used in map functions will raise a RecursionError with dill. | ## Describe the bug
Enums used in functions pass to `map` will fail at pickling with a maximum recursion exception as described here: https://github.com/uqfoundation/dill/issues/250#issuecomment-852566284
In my particular case, I use an enum to define an argument with fixed options using the `TraininigArguments` ... | OPEN | 2021-07-14T09:16:08 | 2021-11-02T09:51:11 | null | https://github.com/huggingface/datasets/issues/2643 | jorgeecardona | 4 | [
"bug"
] |
2,642 | Support multi-worker with streaming dataset (IterableDataset). | **Is your feature request related to a problem? Please describe.**
The current `.map` does not support multi-process, CPU can become bottleneck if the pre-processing is complex (e.g. t5 span masking).
**Describe the solution you'd like**
Ideally `.map` should support multi-worker like tfds, with `AUTOTUNE`.
**D... | OPEN | 2021-07-14T08:22:58 | 2024-05-03T10:11:04 | null | https://github.com/huggingface/datasets/issues/2642 | changjonathanc | 3 | [
"enhancement"
] |
2,641 | load_dataset("financial_phrasebank") NonMatchingChecksumError | ## Describe the bug
Attempting to download the financial_phrasebank dataset results in a NonMatchingChecksumError
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("financial_phrasebank", 'sentences_allagree')
```
## Expected results
I expect to see the financi... | CLOSED | 2021-07-13T21:21:49 | 2022-08-04T08:30:08 | 2022-08-04T08:30:08 | https://github.com/huggingface/datasets/issues/2641 | courtmckay | 4 | [
"bug"
] |
2,630 | Progress bars are not properly rendered in Jupyter notebook | ## Describe the bug
The progress bars are not Jupyter widgets; regular progress bars appear (like in a terminal).
## Steps to reproduce the bug
```python
ds.map(tokenize, num_proc=10)
```
## Expected results
Jupyter widgets displaying the progress bars.
## Actual results
Simple plane progress bars.
cc... | CLOSED | 2021-07-12T14:07:13 | 2022-02-03T15:55:33 | 2022-02-03T15:55:33 | https://github.com/huggingface/datasets/issues/2630 | albertvillanova | 2 | [
"bug"
] |
2,629 | Load datasets from the Hub without requiring a dataset script | As a user I would like to be able to upload my csv/json/text/parquet/etc. files in a dataset repository on the Hugging Face Hub and be able to load this dataset with `load_dataset` without having to implement a dataset script.
Moreover I would like to be able to specify which file goes into which split using the `da... | CLOSED | 2021-07-12T08:45:17 | 2021-08-25T14:18:08 | 2021-08-25T14:18:08 | https://github.com/huggingface/datasets/issues/2629 | lhoestq | 1 | [] |
2,625 | ⚛️😇⚙️🔑 | CLOSED | 2021-07-11T12:14:34 | 2021-07-12T05:55:59 | 2021-07-12T05:55:59 | https://github.com/huggingface/datasets/issues/2625 | hustlen0mics | 0 | [] | |
2,624 | can't set verbosity for `metric.py` | ## Describe the bug
```
[2021-07-10 20:13:11,528][datasets.utils.filelock][INFO] - Lock 139705371374976 acquired on /root/.cache/huggingface/metrics/seqeval/default/default_experiment-1-0.arrow.lock
[2021-07-10 20:13:11,529][datasets.arrow_writer][INFO] - Done writing 32 examples in 6100 bytes /root/.cache/huggingfa... | CLOSED | 2021-07-10T20:23:45 | 2021-07-12T05:54:29 | 2021-07-12T05:54:29 | https://github.com/huggingface/datasets/issues/2624 | thomas-happify | 1 | [
"bug"
] |
2,622 | Integration with AugLy | **Is your feature request related to a problem? Please describe.**
Facebook recently launched a library, [AugLy](https://github.com/facebookresearch/AugLy) , that has a unified API for augmentations for image, video and text.
It would be pretty exciting to have it hooked up to HF libraries so that we can make NLP m... | CLOSED | 2021-07-10T00:03:09 | 2023-07-20T13:18:48 | 2023-07-20T13:18:47 | https://github.com/huggingface/datasets/issues/2622 | Darktex | 2 | [
"enhancement"
] |
2,618 | `filelock.py` Error | ## Describe the bug
It seems that the `filelock.py` went error.
```
>>> ds=load_dataset('xsum')
^CTraceback (most recent call last):
File "/user/HS502/yl02706/.conda/envs/lyc/lib/python3.6/site-packages/datasets/utils/filelock.py", line 402, in _acquire
fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
... | CLOSED | 2021-07-09T15:12:49 | 2024-06-21T06:14:07 | 2023-11-23T19:06:19 | https://github.com/huggingface/datasets/issues/2618 | liyucheng09 | 2 | [
"bug"
] |
2,615 | Jsonlines export error | ## Describe the bug
When exporting large datasets in jsonlines (c4 in my case) the created file has an error every 9999 lines: the 9999th and 10000th are concatenated, thus breaking the jsonlines format. This sounds like it is related to batching, which is by 10000 by default
## Steps to reproduce the bug
This wha... | CLOSED | 2021-07-09T14:02:05 | 2021-07-09T15:29:07 | 2021-07-09T15:28:33 | https://github.com/huggingface/datasets/issues/2615 | TevenLeScao | 10 | [
"bug"
] |
2,607 | Streaming local gzip compressed JSON line files is not working | ## Describe the bug
Using streaming to iterate on local gzip compressed JSON files raise a file not exist error
## Steps to reproduce the bug
```python
from datasets import load_dataset
streamed_dataset = load_dataset('json', split='train', data_files=data_files, streaming=True)
next(iter(streamed_dataset))... | CLOSED | 2021-07-07T11:36:33 | 2021-07-20T09:50:19 | 2021-07-08T16:08:41 | https://github.com/huggingface/datasets/issues/2607 | thomwolf | 6 | [
"bug"
] |
2,606 | [Metrics] addition of wiki_split metrics | **Is your feature request related to a problem? Please describe.**
While training the model on sentence split the task in English we require to evaluate the trained model on `Exact Match`, `SARI` and `BLEU` score
like this
 when loading dataset | I'm loading a dataset constituted of 44 GB of compressed JSON files.
When loading the dataset with the JSON script, extracting the files create about 200 GB of uncompressed files before creating the 180GB of arrow cache tables
Having a simple way to delete the extracted files after usage (or even better, to strea... | CLOSED | 2021-07-07T07:56:16 | 2021-07-19T09:08:18 | 2021-07-19T09:08:18 | https://github.com/huggingface/datasets/issues/2604 | thomwolf | 14 | [
"enhancement"
] |
2,600 | Crash when using multiprocessing (`num_proc` > 1) on `filter` and all samples are discarded | ## Describe the bug
If `filter` is applied to a dataset using multiprocessing (`num_proc` > 1) and all sharded datasets are empty afterwards (due to all samples being discarded), the program crashes.
## Steps to reproduce the bug
```python
from datasets import Dataset
data = Dataset.from_dict({'id': [0,1]})
dat... | CLOSED | 2021-07-06T16:53:25 | 2021-07-07T12:50:31 | 2021-07-07T12:50:31 | https://github.com/huggingface/datasets/issues/2600 | mxschmdt | 0 | [
"bug"
] |
2,598 | Unable to download omp dataset | ## Describe the bug
The omp dataset cannot be downloaded because of a DuplicatedKeysError
## Steps to reproduce the bug
from datasets import load_dataset
omp = load_dataset('omp', 'posts_labeled')
print(omp)
## Expected results
This code should download the omp dataset and print the dictionary
## Actual r... | CLOSED | 2021-07-06T14:00:52 | 2021-07-07T12:56:35 | 2021-07-07T12:56:35 | https://github.com/huggingface/datasets/issues/2598 | erikadistefano | 1 | [
"bug"
] |
2,596 | Transformer Class on dataset | Just wondering if you have intenttion to create
TransformerClass :
dataset --> dataset
and make determnistic transformation (ie not fit).
| CLOSED | 2021-07-06T07:27:15 | 2022-11-02T14:26:09 | 2022-11-02T14:26:09 | https://github.com/huggingface/datasets/issues/2596 | arita37 | 9 | [
"enhancement"
] |
2,595 | ModuleNotFoundError: No module named 'datasets.tasks' while importing common voice datasets | Error traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-8-a7b592d3bca0> in <module>()
1 from datasets import load_dataset, load_metric
2
----> 3 common_voice_train = load_da... | CLOSED | 2021-07-06T03:20:55 | 2021-07-06T05:59:49 | 2021-07-06T05:59:49 | https://github.com/huggingface/datasets/issues/2595 | profsatwinder | 2 | [
"bug"
] |
2,591 | Cached dataset overflowing disk space | I'm training a Swedish Wav2vec2 model on a Linux GPU and having issues that the huggingface cached dataset folder is completely filling up my disk space (I'm training on a dataset of around 500 gb).
The cache folder is 500gb (and now my disk space is full).
Is there a way to toggle caching or set the caching to b... | CLOSED | 2021-07-05T10:43:19 | 2021-07-19T09:08:19 | 2021-07-19T09:08:19 | https://github.com/huggingface/datasets/issues/2591 | BirgerMoell | 4 | [] |
2,585 | sqaud_v2 dataset contains misalignment between the answer text and the context value at the answer index | ## Describe the bug
The built in huggingface squad_v2 dataset that you can access via datasets.load_dataset contains mis-alignment between the answers['text'] and the characters in the context at the location specified by answers['answer_start'].
For example:
id = '56d1f453e7d4791d009025bd'
answers = {'text': ['P... | CLOSED | 2021-07-04T15:39:49 | 2021-07-07T13:18:51 | 2021-07-07T13:18:51 | https://github.com/huggingface/datasets/issues/2585 | mmajurski | 2 | [
"bug"
] |
2,583 | Error iteration over IterableDataset using Torch DataLoader | ## Describe the bug
I have an IterableDataset (created using streaming=True) and I am trying to create batches using Torch DataLoader class by passing this IterableDataset to it. This throws error which is pasted below. I can do the same by using Torch IterableDataset. One thing I noticed is that in the former case wh... | CLOSED | 2021-07-02T19:55:58 | 2021-07-20T09:04:45 | 2021-07-05T23:48:23 | https://github.com/huggingface/datasets/issues/2583 | LeenaShekhar | 2 | [
"bug"
] |
2,573 | Finding right block-size with JSON loading difficult for user | As reported by @thomwolf, while loading a JSON Lines file with "json" loading script, he gets
> json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 383)
| OPEN | 2021-07-01T08:48:35 | 2021-07-01T19:10:53 | null | https://github.com/huggingface/datasets/issues/2573 | albertvillanova | 1 | [
"bug"
] |
2,572 | Support Zstandard compressed files | Add support for Zstandard compressed files: https://facebook.github.io/zstd/ | CLOSED | 2021-07-01T08:37:04 | 2023-01-03T15:34:01 | 2021-07-05T10:50:27 | https://github.com/huggingface/datasets/issues/2572 | albertvillanova | 5 | [
"enhancement"
] |
2,569 | Weights of model checkpoint not initialized for RobertaModel for Bertscore | When applying bertscore out of the box,
```Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.weight', 'lm_head.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.dense.weight', 'lm_head.layer_norm.weight']```
Following the typical ... | CLOSED | 2021-06-29T18:55:23 | 2021-07-01T07:08:59 | 2021-06-30T07:35:49 | https://github.com/huggingface/datasets/issues/2569 | suzyahyah | 2 | [
"bug"
] |
2,564 | concatenate_datasets for iterable datasets | Currently `concatenate_datasets` only works for map-style `Dataset`.
It would be nice to have it work for `IterableDataset` objects as well.
It would simply chain the iterables of the iterable datasets. | CLOSED | 2021-06-29T08:59:41 | 2022-06-28T21:15:04 | 2022-06-28T21:15:04 | https://github.com/huggingface/datasets/issues/2564 | lhoestq | 2 | [] |
2,563 | interleave_datasets for map-style datasets | Currently the `interleave_datasets` functions only works for `IterableDataset`.
Let's make it work for map-style `Dataset` objects as well.
It would work the same way: either alternate between the datasets in order or randomly given probabilities specified by the user. | CLOSED | 2021-06-29T08:57:24 | 2021-07-01T09:33:33 | 2021-07-01T09:33:33 | https://github.com/huggingface/datasets/issues/2563 | lhoestq | 0 | [] |
2,561 | Existing cache for local dataset builder file updates is ignored with `ignore_verifications=True` | ## Describe the bug
If i have local file defining a dataset builder class and I load it using `load_dataset` functionality, the existing cache is ignored whenever the file is update even with `ignore_verifications=True`. This slows down debugging and cache generator for very large datasets.
## Steps to reproduce th... | CLOSED | 2021-06-29T07:43:03 | 2022-08-04T11:58:36 | 2022-08-04T11:58:36 | https://github.com/huggingface/datasets/issues/2561 | apsdehal | 4 | [
"bug"
] |
2,559 | Memory usage consistently increases when processing a dataset with `.map` | ## Describe the bug
I have a HF dataset with image paths stored in it and I am trying to load those image paths using `.map` with `num_proc=80`. I am noticing that the memory usage consistently keeps on increasing with time. I tried using `DEFAULT_WRITER_BATCH_SIZE=10` in the builder to decrease arrow writer's batch... | CLOSED | 2021-06-28T18:31:58 | 2023-07-20T13:34:10 | 2023-07-20T13:34:10 | https://github.com/huggingface/datasets/issues/2559 | apsdehal | 2 | [
"bug"
] |
2,556 | Better DuplicateKeysError error to help the user debug the issue | As mentioned in https://github.com/huggingface/datasets/issues/2552 it would be nice to improve the error message when a dataset fails to build because there are duplicate example keys.
The current one is
```python
datasets.keyhash.DuplicatedKeysError: FAILURE TO GENERATE DATASET !
Found duplicate Key: 48
Keys s... | CLOSED | 2021-06-28T13:50:57 | 2022-06-28T09:26:04 | 2022-06-28T09:26:04 | https://github.com/huggingface/datasets/issues/2556 | lhoestq | 7 | [
"enhancement",
"good first issue"
] |
2,554 | Multilabel metrics not supported | When I try to use a metric like F1 macro I get the following error:
```
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'
```
There is an explicit casting here:
https://github.com/huggingface/datasets/blob/fc79f61cbbcfa0e8c68b28c0a8257f17e768a075/src/datasets/features.py#L... | CLOSED | 2021-06-28T11:09:46 | 2021-10-13T12:29:13 | 2021-07-08T08:40:15 | https://github.com/huggingface/datasets/issues/2554 | GuillemGSubies | 4 | [
"bug"
] |
2,553 | load_dataset("web_nlg") NonMatchingChecksumError | Hi! It seems the WebNLG dataset gives a NonMatchingChecksumError.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('web_nlg', name="release_v3.0_en", split="dev")
```
Gives
```
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['h... | CLOSED | 2021-06-28T09:26:46 | 2021-06-28T17:23:39 | 2021-06-28T17:23:16 | https://github.com/huggingface/datasets/issues/2553 | alxthm | 2 | [
"bug"
] |
2,552 | Keys should be unique error on code_search_net | ## Describe the bug
Loading `code_search_net` seems not possible at the moment.
## Steps to reproduce the bug
```python
>>> load_dataset('code_search_net')
Downloading: 8.50kB [00:00, 3.09MB/s] ... | CLOSED | 2021-06-28T09:15:20 | 2021-09-06T14:08:30 | 2021-09-02T08:25:29 | https://github.com/huggingface/datasets/issues/2552 | thomwolf | 8 | [
"bug"
] |
2,550 | Allow for incremental cumulative metric updates in a distributed setup | Currently, using a metric allows for one of the following:
- Per example/batch metrics
- Cumulative metrics over the whole data
What I'd like is to have an efficient way to get cumulative metrics over the examples/batches added so far, in order to display it as part of the progress bar during training/evaluation.
... | CLOSED | 2021-06-27T15:00:58 | 2021-09-26T13:42:39 | 2021-09-26T13:42:39 | https://github.com/huggingface/datasets/issues/2550 | eladsegal | 0 | [
"enhancement"
] |
2,549 | Handling unlabeled datasets | Hi!
Is there a way for datasets to produce unlabeled instances (e.g., the `ClassLabel` can be nullable).
For example, I want to use the MNLI dataset reader ( https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi_nli.py ) on a file that doesn't have the `gold_label` field. I tried setting `"... | CLOSED | 2021-06-25T04:32:23 | 2021-06-25T21:07:57 | 2021-06-25T21:07:56 | https://github.com/huggingface/datasets/issues/2549 | nelson-liu | 2 | [
"enhancement"
] |
2,548 | Field order issue in loading json | ## Describe the bug
The `load_dataset` function expects columns in alphabetical order when loading json files.
Similar bug was previously reported for csv in #623 and fixed in #684.
## Steps to reproduce the bug
For a json file `j.json`,
```
{"c":321, "a": 1, "b": 2}
```
Running the following,
```
f= data... | CLOSED | 2021-06-24T13:29:53 | 2021-06-24T14:36:43 | 2021-06-24T14:34:05 | https://github.com/huggingface/datasets/issues/2548 | luyug | 1 | [
"bug"
] |
2,547 | Dataset load_from_disk is too slow | @lhoestq
## Describe the bug
It's not normal that I have to wait 7-8 hours for a dataset to be loaded from disk, as there are no preprocessing steps, it's only loading it with load_from_disk. I have 96 cpus, however only 1 is used for this, which is inefficient. Moreover, its usage is at 1%... This is happening in t... | OPEN | 2021-06-24T12:45:44 | 2021-06-25T14:56:38 | null | https://github.com/huggingface/datasets/issues/2547 | avacaondata | 3 | [
"bug"
] |
2,543 | switching some low-level log.info's to log.debug? | In https://github.com/huggingface/transformers/pull/12276 we are now changing the examples to have `datasets` on the same log level as `transformers`, so that one setting can do a consistent logging across all involved components.
The trouble is that now we get a ton of these:
```
06/23/2021 12:15:31 - INFO - da... | CLOSED | 2021-06-23T19:26:55 | 2021-06-25T13:40:19 | 2021-06-25T13:40:19 | https://github.com/huggingface/datasets/issues/2543 | stas00 | 1 | [
"enhancement"
] |
2,542 | `datasets.keyhash.DuplicatedKeysError` for `drop` and `adversarial_qa/adversarialQA` | ## Describe the bug
Failure to generate the datasets (`drop` and subset `adversarialQA` from `adversarial_qa`) because of duplicate keys.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("drop")
load_dataset("adversarial_qa", "adversarialQA")
```
## Expected results
Th... | CLOSED | 2021-06-23T18:41:16 | 2021-06-25T21:50:05 | 2021-06-24T14:57:08 | https://github.com/huggingface/datasets/issues/2542 | VictorSanh | 4 | [
"bug"
] |
2,538 | Loading partial dataset when debugging | I am using PyTorch Lightning along with datasets (thanks for so many datasets already prepared and the great splits).
Every time I execute load_dataset for the imdb dataset it takes some time even if I specify a split involving very few samples. I guess this due to hashing as per the other issues.
Is there a wa... | OPEN | 2021-06-23T07:19:52 | 2023-04-19T11:05:38 | null | https://github.com/huggingface/datasets/issues/2538 | reachtarunhere | 11 | [] |
2,536 | Use `Audio` features for `AutomaticSpeechRecognition` task template | In #2533 we added a task template for speech recognition that relies on the file paths to the audio files. As pointed out by @SBrandeis this is brittle as it doesn't port easily across different OS'.
The solution is to use dedicated `Audio` features when casting the dataset. These features are not yet available in ... | CLOSED | 2021-06-22T15:07:21 | 2022-06-01T17:18:16 | 2022-06-01T17:18:16 | https://github.com/huggingface/datasets/issues/2536 | lewtun | 2 | [
"enhancement"
] |
2,532 | Tokenizer's normalization preprocessor cause misalignment in return_offsets_mapping for tokenizer classification task | [This colab notebook](https://colab.research.google.com/drive/151gKyo0YIwnlznrOHst23oYH_a3mAe3Z?usp=sharing) implements a token classification input pipeline extending the logic from [this hugging example](https://huggingface.co/transformers/custom_datasets.html#tok-ner).
The pipeline works fine with most instance i... | CLOSED | 2021-06-22T10:08:18 | 2021-06-23T05:17:25 | 2021-06-23T05:17:25 | https://github.com/huggingface/datasets/issues/2532 | cosmeowpawlitan | 2 | [
"bug"
] |
2,528 | Logging cannot be set to NOTSET similar to transformers | ## Describe the bug
In the transformers library you can set the verbosity level to logging.NOTSET to work around the usage of tqdm and IPywidgets, however in Datasets this is no longer possible. This is because transformers set the verbosity level of tqdm with [this](https://github.com/huggingface/transformers/blob/b5... | CLOSED | 2021-06-21T15:04:54 | 2021-06-24T14:42:47 | 2021-06-24T14:42:47 | https://github.com/huggingface/datasets/issues/2528 | joshzwiebel | 1 | [
"bug"
] |
2,526 | Add COCO datasets | ## Adding a Dataset
- **Name:** COCO
- **Description:** COCO is a large-scale object detection, segmentation, and captioning dataset.
- **Paper + website:** https://cocodataset.org/#home
- **Data:** https://cocodataset.org/#download
- **Motivation:** It would be great to have COCO available in HuggingFace datasets... | OPEN | 2021-06-21T07:48:32 | 2023-06-22T14:12:18 | null | https://github.com/huggingface/datasets/issues/2526 | NielsRogge | 17 | [
"dataset request",
"vision"
] |
2,523 | Fr | __Originally posted by @lewtun in https://github.com/huggingface/datasets/pull/2469__ | CLOSED | 2021-06-19T15:56:32 | 2021-06-19T18:48:23 | 2021-06-19T18:48:23 | https://github.com/huggingface/datasets/issues/2523 | aDrIaNo34500 | 0 | [] |
2,522 | Documentation Mistakes in Dataset: emotion | As per documentation,
Dataset: emotion
Homepage: https://github.com/dair-ai/emotion_dataset
Dataset: https://github.com/huggingface/datasets/blob/master/datasets/emotion/emotion.py
Permalink: https://huggingface.co/datasets/viewer/?dataset=emotion
Emotion is a dataset of English Twitter messages with eight b... | CLOSED | 2021-06-19T07:08:57 | 2023-01-02T12:04:58 | 2023-01-02T12:04:58 | https://github.com/huggingface/datasets/issues/2522 | GDGauravDutta | 3 | [
"bug"
] |
2,520 | Datasets with tricky task templates | I'm collecting a list of datasets here that don't follow the "standard" taxonomy and require further investigation to implement task templates for.
## Text classification
* [hatexplain](https://huggingface.co/datasets/hatexplain): ostensibly a form of text classification, but not in the standard `(text, target)` ... | CLOSED | 2021-06-18T15:33:57 | 2023-07-20T13:20:32 | 2023-07-20T13:20:32 | https://github.com/huggingface/datasets/issues/2520 | lewtun | 1 | [
"Dataset discussion"
] |
2,516 | datasets.map pickle issue resulting in invalid mapping function | I trained my own tokenizer, and I needed to use a python custom class. Because of this I have to detach the custom step before saving and reattach after restore. I did this using the standard pickle `__get_state__` / `__set_state__` mechanism. I think it's correct but it fails when I use it inside a function which is m... | OPEN | 2021-06-18T06:47:26 | 2021-06-23T13:47:49 | null | https://github.com/huggingface/datasets/issues/2516 | david-waterworth | 7 | [
"bug"
] |
2,514 | Can datasets remove duplicated rows? | **Is your feature request related to a problem? Please describe.**
i find myself more and more relying on datasets just to do all the preprocessing. One thing however, for removing duplicated rows, I couldn't find out how and am always converting datasets to pandas to do that..
**Describe the solution you'd like*... | OPEN | 2021-06-17T23:35:38 | 2025-11-05T06:27:43 | null | https://github.com/huggingface/datasets/issues/2514 | liuxinglan | 13 | [
"enhancement"
] |
2,513 | Corelation should be Correlation | https://github.com/huggingface/datasets/blob/0e87e1d053220e8ecddfa679bcd89a4c7bc5af62/metrics/matthews_correlation/matthews_correlation.py#L66 | CLOSED | 2021-06-17T17:28:48 | 2021-06-18T08:43:55 | 2021-06-18T08:43:55 | https://github.com/huggingface/datasets/issues/2513 | colbym-MM | 1 | [] |
2,512 | seqeval metric does not work with a recent version of sklearn: classification_report() got an unexpected keyword argument 'output_dict' | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
from datasets import load_dataset, load_metric
seqeval = load_metric("seqeval")
seqeval.compute(predictions=[['A']], references=[['A']])
```
## Expected results
The function computes a dict with ... | CLOSED | 2021-06-17T15:36:02 | 2021-06-17T15:46:07 | 2021-06-17T15:46:07 | https://github.com/huggingface/datasets/issues/2512 | avidale | 1 | [
"bug"
] |
2,511 | Add C4 | ## Adding a Dataset
- **Name:** *C4*
- **Description:** *https://github.com/allenai/allennlp/discussions/5056*
- **Paper:** *https://arxiv.org/abs/1910.10683*
- **Data:** *https://huggingface.co/datasets/allenai/c4*
- **Motivation:** *Used a lot for pretraining*
Instructions to add a new dataset can be found [h... | CLOSED | 2021-06-17T10:31:04 | 2021-07-05T12:36:58 | 2021-07-05T12:36:57 | https://github.com/huggingface/datasets/issues/2511 | lhoestq | 2 | [
"dataset request"
] |
2,508 | Load Image Classification Dataset from Local | **Is your feature request related to a problem? Please describe.**
Yes - we would like to load an image classification dataset with datasets without having to write a custom data loader.
**Describe the solution you'd like**
Given a folder structure with images of each class in each folder, the ability to load th... | CLOSED | 2021-06-15T22:43:33 | 2022-03-01T16:29:44 | 2022-03-01T16:29:44 | https://github.com/huggingface/datasets/issues/2508 | Jacobsolawetz | 5 | [
"enhancement"
] |
2,503 | SubjQA wrong boolean values in entries | ## Describe the bug
SubjQA seems to have a boolean that's consistently wrong.
It defines:
- question_subj_level: The subjectiviy level of the question (on a 1 to 5 scale with 1 being the most subjective).
- is_ques_subjective: A boolean subjectivity label derived from question_subj_level (i.e., scores below 4 are... | OPEN | 2021-06-14T17:42:46 | 2021-08-25T03:52:06 | null | https://github.com/huggingface/datasets/issues/2503 | arnaudstiegler | 4 | [
"bug"
] |
2,499 | Python Programming Puzzles | ## Adding a Dataset
- **Name:** Python Programming Puzzles
- **Description:** Programming challenge called programming puzzles, as an objective and comprehensive evaluation of program synthesis
- **Paper:** https://arxiv.org/pdf/2106.05784.pdf
- **Data:** https://github.com/microsoft/PythonProgrammingPuzzles ([Scro... | OPEN | 2021-06-14T13:27:18 | 2021-06-15T18:14:14 | null | https://github.com/huggingface/datasets/issues/2499 | VictorSanh | 2 | [
"dataset request"
] |
2,498 | Improve torch formatting performance | **Is your feature request related to a problem? Please describe.**
It would be great, if possible, to further improve read performance of raw encoded datasets and their subsequent conversion to torch tensors.
A bit more background. I am working on LM pre-training using HF ecosystem. We use encoded HF Wikipedia an... | OPEN | 2021-06-14T13:25:24 | 2022-07-15T17:12:04 | null | https://github.com/huggingface/datasets/issues/2498 | vblagoje | 17 | [
"enhancement"
] |
2,496 | Dataset fingerprint changes after moving the cache directory, which prevent cache reload when using `map` | `Dataset.map` uses the dataset fingerprint (a hash) for caching.
However the fingerprint seems to change when someone moves the cache directory of the dataset.
This is because it uses the default fingerprint generation:
1. the dataset path is used to get the fingerprint
2. the modification times of the arrow file... | CLOSED | 2021-06-14T09:20:26 | 2021-06-21T15:05:03 | 2021-06-21T15:05:03 | https://github.com/huggingface/datasets/issues/2496 | lhoestq | 0 | [] |
2,495 | JAX formatting | We already support pytorch, tensorflow, numpy, pandas and arrow dataset formatting. Let's add jax as well | CLOSED | 2021-06-14T08:32:07 | 2021-06-21T16:15:49 | 2021-06-21T16:15:49 | https://github.com/huggingface/datasets/issues/2495 | lhoestq | 0 | [] |
2,494 | Improve docs on Enhancing performance | In the ["Enhancing performance"](https://huggingface.co/docs/datasets/loading_datasets.html#enhancing-performance) section of docs, add specific use cases:
- How to make datasets the fastest
- How to make datasets take the less RAM
- How to make datasets take the less hard drive mem
cc: @thomwolf
| OPEN | 2021-06-14T08:11:48 | 2025-06-28T18:55:38 | null | https://github.com/huggingface/datasets/issues/2494 | albertvillanova | 2 | [
"documentation"
] |
2,489 | Allow latest pyarrow version once segfault bug is fixed | As pointed out by @symeneses (see https://github.com/huggingface/datasets/pull/2268#issuecomment-860048613), pyarrow has fixed the segfault bug present in version 4.0.0 (see https://issues.apache.org/jira/browse/ARROW-12568):
- it was fixed on 3 May 2021
- version 4.0.1 was released on 19 May 2021 with the bug fix | CLOSED | 2021-06-12T14:09:52 | 2021-06-14T07:53:23 | 2021-06-14T07:53:23 | https://github.com/huggingface/datasets/issues/2489 | albertvillanova | 0 | [
"enhancement"
] |
2,485 | Implement layered building | As discussed with @stas00 and @lhoestq (see also here https://github.com/huggingface/datasets/issues/2481#issuecomment-859712190):
> My suggestion for this would be to have this enabled by default.
>
> Plus I don't know if there should be a dedicated issue to that is another functionality. But I propose layered b... | OPEN | 2021-06-11T18:54:25 | 2021-06-11T18:54:25 | null | https://github.com/huggingface/datasets/issues/2485 | albertvillanova | 0 | [
"enhancement"
] |
2,484 | Implement loading a dataset builder | As discussed with @stas00 and @lhoestq, this would allow things like:
```python
from datasets import load_dataset_builder
dataset_name = "openwebtext"
builder = load_dataset_builder(dataset_name)
print(builder.cache_dir)
``` | CLOSED | 2021-06-11T18:47:22 | 2021-07-05T10:45:57 | 2021-07-05T10:45:57 | https://github.com/huggingface/datasets/issues/2484 | albertvillanova | 1 | [
"enhancement"
] |
2,481 | Delete extracted files to save disk space | As discussed with @stas00 and @lhoestq, allowing the deletion of extracted files would save a great amount of disk space to typical user. | CLOSED | 2021-06-11T12:21:52 | 2021-07-19T09:08:18 | 2021-07-19T09:08:18 | https://github.com/huggingface/datasets/issues/2481 | albertvillanova | 1 | [
"enhancement"
] |
2,480 | Set download/extracted paths configurable | As discussed with @stas00 and @lhoestq, setting these paths configurable may allow to overcome disk space limitation on different partitions/drives.
TODO:
- [x] Set configurable extracted datasets path: #2487
- [x] Set configurable downloaded datasets path: #2488
- [ ] Set configurable "incomplete" datasets path? | OPEN | 2021-06-11T12:20:24 | 2021-06-15T14:23:49 | null | https://github.com/huggingface/datasets/issues/2480 | albertvillanova | 1 | [
"enhancement"
] |
2,478 | Create release script | Create a script so that releases can be done automatically (as done in `transformers`). | OPEN | 2021-06-11T09:38:02 | 2023-07-20T13:22:23 | null | https://github.com/huggingface/datasets/issues/2478 | albertvillanova | 1 | [
"enhancement"
] |
2,475 | Issue in timit_asr database | ## Describe the bug
I am trying to load the timit_asr dataset however only the first record is shown (duplicated over all the rows).
I am using the next code line
dataset = load_dataset(“timit_asr”, split=“test”).shuffle().select(range(10))
The above code result with the same sentence duplicated ten times.
It al... | CLOSED | 2021-06-10T18:05:29 | 2021-06-13T08:13:50 | 2021-06-13T08:13:13 | https://github.com/huggingface/datasets/issues/2475 | hrahamim | 2 | [
"bug"
] |
2,474 | cache_dir parameter for load_from_disk ? | **Is your feature request related to a problem? Please describe.**
When using Google Colab big datasets can be an issue, as they won't fit on the VM's disk. Therefore mounting google drive could be a possible solution. Unfortunatly when loading my own dataset by using the _load_from_disk_ function, the data gets cache... | CLOSED | 2021-06-10T17:39:36 | 2022-02-16T14:55:01 | 2022-02-16T14:55:00 | https://github.com/huggingface/datasets/issues/2474 | chbensch | 4 | [
"enhancement"
] |
2,472 | Fix automatic generation of Zenodo DOI | After the last release of Datasets (1.8.0), the automatic generation of the Zenodo DOI failed: it appears in yellow as "Received", instead of in green as "Published".
I have contacted Zenodo support to fix this issue.
TODO:
- [x] Check with Zenodo to fix the issue
- [x] Check BibTeX entry is right | CLOSED | 2021-06-10T15:15:46 | 2021-06-14T16:49:42 | 2021-06-14T16:49:42 | https://github.com/huggingface/datasets/issues/2472 | albertvillanova | 4 | [
"bug"
] |
2,471 | Fix PermissionError on Windows when using tqdm >=4.50.0 | See: https://app.circleci.com/pipelines/github/huggingface/datasets/235/workflows/cfb6a39f-68eb-4802-8b17-2cd5e8ea7369/jobs/1111
```
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process
``` | CLOSED | 2021-06-10T08:31:49 | 2021-06-11T15:11:50 | 2021-06-11T15:11:50 | https://github.com/huggingface/datasets/issues/2471 | albertvillanova | 0 | [
"bug"
] |
2,470 | Crash when `num_proc` > dataset length for `map()` on a `datasets.Dataset`. | ## Describe the bug
Crash if when using `num_proc` > 1 (I used 16) for `map()` on a `datasets.Dataset`.
I believe I've had cases where `num_proc` > 1 works before, but now it seems either inconsistent, or depends on my data. I'm not sure whether the issue is on my end, because it's difficult for me to debug! Any ti... | CLOSED | 2021-06-09T22:40:22 | 2021-07-01T09:34:54 | 2021-07-01T09:11:13 | https://github.com/huggingface/datasets/issues/2470 | mbforbes | 6 | [
"bug"
] |
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