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"Hi, is this bug deterministic in your poetry env ? I mean, does it always stop at 90% or is it random ?\r\n\r\nAlso, can you try using another version of Elasticsearch ? Maybe there's an issue with the one of you poetry env",
"I face similar issue with oscar dataset on remote ealsticsearch instance. It was mainl... | 1,631,190,099,000 | 1,634,756,231,000 | null | NONE | null | ## Describe the bug
When trying to index documents from the squad dataset, the connection to ElasticSearch seems to break:
Reusing dataset squad (/Users/andreasmotz/.cache/huggingface/datasets/squad/plain_text/1.0.0/d6ec3ceb99ca480ce37cdd35555d6cb2511d223b9150cce08a837ef62ffea453)
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https://api.github.com/repos/huggingface/datasets/issues/2882 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2882/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2882/comments | https://api.github.com/repos/huggingface/datasets/issues/2882/events | https://github.com/huggingface/datasets/issues/2882 | 991,800,141 | MDU6SXNzdWU5OTE4MDAxNDE= | 2,882 | `load_dataset('docred')` results in a `NonMatchingChecksumError` | {
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"Hi @tmpr, thanks for reporting.\r\n\r\nTwo weeks ago (23th Aug), the host of the source `docred` dataset updated one of the files (`dev.json`): you can see it [here](https://drive.google.com/drive/folders/1c5-0YwnoJx8NS6CV2f-NoTHR__BdkNqw).\r\n\r\nTherefore, the checksum needs to be updated.\r\n\r\nNormally, in th... | 1,631,166,902,000 | 1,631,532,270,000 | 1,631,532,270,000 | NONE | null | ## Describe the bug
I get consistent `NonMatchingChecksumError: Checksums didn't match for dataset source files` errors when trying to execute `datasets.load_dataset('docred')`.
## Steps to reproduce the bug
It is quasi only this code:
```python
import datasets
data = datasets.load_dataset('docred')
```
## ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2879 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2879/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2879/comments | https://api.github.com/repos/huggingface/datasets/issues/2879/events | https://github.com/huggingface/datasets/issues/2879 | 990,257,404 | MDU6SXNzdWU5OTAyNTc0MDQ= | 2,879 | In v1.4.1, all TIMIT train transcripts are "Would such an act of refusal be useful?" | {
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"Hi @rcgale, thanks for reporting.\r\n\r\nPlease note that this bug was fixed on `datasets` version 1.5.0: https://github.com/huggingface/datasets/commit/a23c73e526e1c30263834164f16f1fdf76722c8c#diff-f12a7a42d4673bb6c2ca5a40c92c29eb4fe3475908c84fd4ce4fad5dc2514878\r\n\r\nIf you update `datasets` version, that shoul... | 1,631,040,825,000 | 1,631,120,119,000 | 1,631,092,348,000 | NONE | null | ## Describe the bug
Using version 1.4.1 of `datasets`, TIMIT transcripts are all the same.
## Steps to reproduce the bug
I was following this tutorial
- https://huggingface.co/blog/fine-tune-wav2vec2-english
But here's a distilled repro:
```python
!pip install datasets==1.4.1
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Trying to load saved dataset or dataset directory from Amazon S3 on a Windows machine fails.
Performing the same operation succeeds on non-windows environment (AWS Sagemaker).
## Steps to reproduce the bug
```python
# Followed https://huggingface.co/docs/datasets/filesystems.html#loading-a-pr... | {
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https://api.github.com/repos/huggingface/datasets/issues/2877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2877/comments | https://api.github.com/repos/huggingface/datasets/issues/2877/events | https://github.com/huggingface/datasets/issues/2877 | 990,027,249 | MDU6SXNzdWU5OTAwMjcyNDk= | 2,877 | Don't keep the dummy data folder or dataset_infos.json when resolving data files | {
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"Hi @lhoestq I am new to huggingface datasets, I would like to work on this issue!\r\n",
"Thanks for the help :) \r\n\r\nAs mentioned in the PR, excluding files named \"dummy_data.zip\" is actually more general than excluding the files inside a \"dummy\" folder. I just did the change in the PR, I think we can mer... | 1,631,023,744,000 | 1,632,906,338,000 | 1,632,906,338,000 | MEMBER | null | When there's no dataset script, all the data files of a folder or a repository on the Hub are loaded as data files.
There are already a few exceptions:
- files starting with "." are ignored
- the dataset card "README.md" is ignored
- any file named "config.json" is ignored (currently it isn't used anywhere, but i... | {
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https://api.github.com/repos/huggingface/datasets/issues/2875 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2875/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2875/comments | https://api.github.com/repos/huggingface/datasets/issues/2875/events | https://github.com/huggingface/datasets/issues/2875 | 989,919,398 | MDU6SXNzdWU5ODk5MTkzOTg= | 2,875 | Add Congolese Swahili speech datasets | {
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... | open | false | null | [] | null | [] | 1,631,016,830,000 | 1,631,016,830,000 | null | NONE | null | ## Adding a Dataset
- **Name:** Congolese Swahili speech corpora
- **Data:** https://gamayun.translatorswb.org/data/
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
Also related: https://mobile.twitter.com/OktemAlp/status/14351963936... | {
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"I have changed line 288 to `if int(datasets.config.PYARROW_VERSION.split(\".\")[0]) < 3:` just to get around it.",
"Hi @bwang482,\r\n\r\nI'm sorry but I'm not able to reproduce your bug.\r\n\r\nPlease note that in our current master branch, we made a commit (d03223d4d64b89e76b48b00602aba5aa2f817f1e) that simulta... | 1,630,962,417,000 | 1,631,091,112,000 | 1,631,091,112,000 | CONTRIBUTOR | null | In the test_dataset_common.py script, line 288-289
```
if datasets.config.PYARROW_VERSION.major < 3:
packaged_datasets = [pd for pd in packaged_datasets if pd["dataset_name"] != "parquet"]
```
which throws the error below. `datasets.config.PYARROW_VERSION` itself return the string '4.0.1'. I have tested thi... | {
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"Hi, @Chenfei-Kang.\r\n\r\nI'm sorry, but I'm not able to reproduce your bug:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds = load_dataset(\"glue\", 'cola')\r\nds\r\n```\r\n```\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['sentence', 'label', 'idx'],\r\n num_rows: 8551\r\n ... | 1,630,668,459,000 | 1,631,102,998,000 | 1,631,093,095,000 | NONE | null | ## Describe the bug
TypeError: 'NoneType' object is not callable
## Steps to reproduce the bug
```python
from datasets import load_dataset, load_metric
dataset = datasets.load_dataset("glue", 'cola')
```
## Expected results
A clear and concise description of the expected results.
## Actual results
Speci... | {
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... | open | false | null | [] | null | [] | 1,630,614,972,000 | 1,638,964,930,000 | null | CONTRIBUTOR | null | ## Adding a Dataset
- **Name:** *Common Objects in 3D (CO3D)*
- **Description:** *See blog post [here](https://ai.facebook.com/blog/common-objects-in-3d-dataset-for-3d-reconstruction)*
- **Paper:** *[link to paper](https://arxiv.org/abs/2109.00512)*
- **Data:** *[link to data](https://ai.facebook.com/datasets/co3d-... | {
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https://api.github.com/repos/huggingface/datasets/issues/2866 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2866/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2866/comments | https://api.github.com/repos/huggingface/datasets/issues/2866/events | https://github.com/huggingface/datasets/issues/2866 | 986,706,676 | MDU6SXNzdWU5ODY3MDY2NzY= | 2,866 | "counter" dataset raises an error in normal mode, but not in streaming mode | {
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"Hi @severo, thanks for reporting.\r\n\r\nJust note that currently not all canonical datasets support streaming mode: this is one case!\r\n\r\nAll datasets that use `pathlib` joins (using `/`) instead of `os.path.join` (as in this dataset) do not support streaming mode yet.",
"OK. Do you think it's possible to de... | 1,630,588,253,000 | 1,634,203,449,000 | 1,634,203,449,000 | CONTRIBUTOR | null | ## Describe the bug
`counter` dataset raises an error on `load_dataset()`, but simply returns an empty iterator in streaming mode.
## Steps to reproduce the bug
```python
>>> import datasets as ds
>>> a = ds.load_dataset('counter', split="train", streaming=False)
Using custom data configuration default
Dow... | {
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https://api.github.com/repos/huggingface/datasets/issues/2862 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2862/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2862/comments | https://api.github.com/repos/huggingface/datasets/issues/2862/events | https://github.com/huggingface/datasets/issues/2862 | 985,763,001 | MDU6SXNzdWU5ODU3NjMwMDE= | 2,862 | Only retain relevant statistics in certain metrics | {
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As I understand, in the `add_batch()` function, the raw predictions and references are kept (in memory?) until `compute()` is called.
https://github.com/huggingface/datasets/blob/e248247518140d5b0527ce2843a1a327e2902059/src/datasets/metric.py#L423-L44... | {
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https://api.github.com/repos/huggingface/datasets/issues/2860 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2860/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2860/comments | https://api.github.com/repos/huggingface/datasets/issues/2860/events | https://github.com/huggingface/datasets/issues/2860 | 985,013,339 | MDU6SXNzdWU5ODUwMTMzMzk= | 2,860 | Cannot download TOTTO dataset | {
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"Hola @mrm8488, thanks for reporting.\r\n\r\nApparently, the data source host changed their URL one week ago: https://github.com/google-research-datasets/ToTTo/commit/cebeb430ec2a97747e704d16a9354f7d9073ff8f\r\n\r\nI'm fixing it."
] | 1,630,494,250,000 | 1,630,565,260,000 | 1,630,565,260,000 | NONE | null | Error: Couldn't find file at https://storage.googleapis.com/totto/totto_data.zip
`datasets version: 1.11.0`
# How to reproduce:
```py
from datasets import load_dataset
dataset = load_dataset('totto')
```
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https://api.github.com/repos/huggingface/datasets/issues/2859 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2859/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2859/comments | https://api.github.com/repos/huggingface/datasets/issues/2859/events | https://github.com/huggingface/datasets/issues/2859 | 984,324,500 | MDU6SXNzdWU5ODQzMjQ1MDA= | 2,859 | Loading allenai/c4 in streaming mode does too many HEAD requests | {
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"https://github.com/huggingface/datasets/blob/6c766f9115d686182d76b1b937cb27e099c45d68/src/datasets/builder.py#L179-L186",
"Thanks a lot!!!"
] | 1,630,444,264,000 | 1,634,024,152,000 | 1,633,950,351,000 | MEMBER | null | This does 60,000+ HEAD requests to get all the ETags of all the data files:
```python
from datasets import load_dataset
load_dataset("allenai/c4", streaming=True)
```
It makes loading the dataset completely impractical.
The ETags are used to compute the config id (it must depend on the data files being used).
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https://api.github.com/repos/huggingface/datasets/issues/2850 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2850/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2850/comments | https://api.github.com/repos/huggingface/datasets/issues/2850/events | https://github.com/huggingface/datasets/issues/2850 | 982,654,644 | MDU6SXNzdWU5ODI2NTQ2NDQ= | 2,850 | Wound segmentation datasets | {
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... | open | false | null | [] | null | [] | 1,630,320,272,000 | 1,638,964,920,000 | null | NONE | null | ## Adding a Dataset
- **Name:** Wound segmentation datasets
- **Description:** annotated wound image dataset
- **Paper:** https://www.nature.com/articles/s41598-020-78799-w
- **Data:** https://github.com/uwm-bigdata/wound-segmentation
- **Motivation:** Interesting simple image dataset, useful for segmentation, wi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2849/comments | https://api.github.com/repos/huggingface/datasets/issues/2849/events | https://github.com/huggingface/datasets/issues/2849 | 982,631,420 | MDU6SXNzdWU5ODI2MzE0MjA= | 2,849 | Add Open Catalyst Project Dataset | {
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- **Name:** Open Catalyst 2020 (OC20) Dataset
- **Website:** https://opencatalystproject.org/
- **Data:** https://github.com/Open-Catalyst-Project/ocp/blob/master/DATASET.md
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATAS... | {
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https://api.github.com/repos/huggingface/datasets/issues/2846 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2846/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2846/comments | https://api.github.com/repos/huggingface/datasets/issues/2846/events | https://github.com/huggingface/datasets/issues/2846 | 981,587,590 | MDU6SXNzdWU5ODE1ODc1OTA= | 2,846 | Negative timezone | {
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"Fixed by #2847."
] | 1,630,097,433,000 | 1,631,274,667,000 | 1,631,274,667,000 | CONTRIBUTOR | null | ## Describe the bug
The load_dataset method do not accept a parquet file with a negative timezone, as it has the following regex:
```
"^(s|ms|us|ns),\s*tz=([a-zA-Z0-9/_+:]*)$"
```
So a valid timestap ```timestamp[us, tz=-03:00]``` returns an error when loading parquet files.
## Steps to reproduce the bug
```py... | {
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https://api.github.com/repos/huggingface/datasets/issues/2845 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2845/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2845/comments | https://api.github.com/repos/huggingface/datasets/issues/2845/events | https://github.com/huggingface/datasets/issues/2845 | 981,487,861 | MDU6SXNzdWU5ODE0ODc4NjE= | 2,845 | [feature request] adding easy to remember `datasets.cache_dataset()` + `datasets.is_dataset_cached()` | {
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] | open | false | null | [] | null | [] | 1,630,088,511,000 | 1,630,088,645,000 | null | CONTRIBUTOR | null | Often, there is a need to prepare a dataset but not use it immediately, e.g. think tests suite setup, so it'd be really useful to be able to do:
```
if not datasets.is_dataset_cached(ds): datasets.cache_dataset(ds)
```
This can already be done with:
```
builder = load_dataset_builder(ds)
if not os.path.idsi... | {
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"From what I can understand, you want the saved arrow file directory to have username as well instead of just dataset name if it was downloaded with the user prefix?",
"I don't think the user cares of how this is done, but the 2nd command should fail, IMHO, as its dataset name is invalid:\r\n```\r\n# first run\r\... | 1,630,020,713,000 | 1,634,895,815,000 | 1,634,895,815,000 | CONTRIBUTOR | null | Me and now another person have been bitten by the `datasets`'s non-strictness on requiring a dataset creator's username when it's due.
So both of us started with `stas/openwebtext-10k`, somewhere along the lines lost `stas/` and continued using `openwebtext-10k` and it all was good until we published the software an... | {
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"Hi @yjernite I am interested in adding this dataset. \r\nIn the repo they have also added a code mixed MT task from English to Hinglish [here](https://github.com/microsoft/GLUECoS#code-mixed-machine-translation-task). I think this could be a good dataset addition in itself and then I can add the rest of the GLUECo... | 1,630,000,059,000 | 1,634,755,280,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** GLUECoS
- **Description:** a Microsoft Benchmark to evaluate code-switching for only two language pairs but a variety of tasks
- **Paper:** https://aclanthology.org/2020.acl-main.329/
- **Data:** https://github.com/microsoft/GLUECoS
- **Motivation:** We currently only have [one othe... | {
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https://api.github.com/repos/huggingface/datasets/issues/2840 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2840/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2840/comments | https://api.github.com/repos/huggingface/datasets/issues/2840/events | https://github.com/huggingface/datasets/issues/2840 | 980,489,074 | MDU6SXNzdWU5ODA0ODkwNzQ= | 2,840 | How can I compute BLEU-4 score use `load_metric` ? | {
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If I want to compute BLEU-4 score, what can i do? | {
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https://api.github.com/repos/huggingface/datasets/issues/2839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2839/comments | https://api.github.com/repos/huggingface/datasets/issues/2839/events | https://github.com/huggingface/datasets/issues/2839 | 980,271,715 | MDU6SXNzdWU5ODAyNzE3MTU= | 2,839 | OpenWebText: NonMatchingSplitsSizesError | {
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"Thanks for reporting, I'm updating the verifications metadata",
"I just regenerated the verifications metadata and noticed that nothing changed: the data file is fine (the checksum didn't change), and the number of examples is still 8013769. Not sure how you managed to get 7982430 examples.\r\n\r\nCan you try to... | 1,629,985,826,000 | 1,632,233,560,000 | 1,632,233,383,000 | CONTRIBUTOR | null | ## Describe the bug
When downloading `openwebtext`, I'm getting:
```
datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=39769494896, num_examples=8013769, dataset_name='openwebtext'), 'recorded': SplitInfo(name='train', num_bytes=39611023912, num_examples=7982430... | {
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https://api.github.com/repos/huggingface/datasets/issues/2837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2837/comments | https://api.github.com/repos/huggingface/datasets/issues/2837/events | https://github.com/huggingface/datasets/issues/2837 | 979,298,297 | MDU6SXNzdWU5NzkyOTgyOTc= | 2,837 | prepare_module issue when loading from read-only fs | {
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"Hello, I opened #2887 to fix this."
] | 1,629,904,886,000 | 1,633,456,702,000 | 1,633,456,702,000 | CONTRIBUTOR | null | ## Describe the bug
When we use prepare_module from a readonly file system, we create a FileLock using the `local_path`.
This path is not necessarily writable.
`lock_path = local_path + ".lock"`
## Steps to reproduce the bug
Run `load_dataset` on a readonly python loader file.
```python
ds = load_datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/2833 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2833/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2833/comments | https://api.github.com/repos/huggingface/datasets/issues/2833/events | https://github.com/huggingface/datasets/issues/2833 | 978,296,140 | MDU6SXNzdWU5NzgyOTYxNDA= | 2,833 | IndexError when accessing first element of a Dataset if first RecordBatch is empty | {
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```python
from datasets import Dataset
import pyarrow as pa
pa_table = pa.Table.from_pydict({"a": [1]})
pa_table2 = pa.Table.from_pydict({"a": []}, schema=pa_table.schema)
ds_table = pa.conca... | {
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https://api.github.com/repos/huggingface/datasets/issues/2832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2832/comments | https://api.github.com/repos/huggingface/datasets/issues/2832/events | https://github.com/huggingface/datasets/issues/2832 | 978,012,800 | MDU6SXNzdWU5NzgwMTI4MDA= | 2,832 | Logging levels not taken into account | {
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The `logging` module isn't working as intended relative to the levels to set.
## Steps to reproduce the bug
```python
from datasets import logging
logging.set_verbosity_debug()
logger = logging.get_logger()
logger.error("ERROR")
logger.warning("WARNING")
logger.info("INFO")
logge... | {
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https://api.github.com/repos/huggingface/datasets/issues/2831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2831/comments | https://api.github.com/repos/huggingface/datasets/issues/2831/events | https://github.com/huggingface/datasets/issues/2831 | 977,864,600 | MDU6SXNzdWU5Nzc4NjQ2MDA= | 2,831 | ArrowInvalid when mapping dataset with missing values | {
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"Hi ! It fails because of the feature type inference.\r\n\r\nBecause the first 1000 examples all have null values in the \"match\" field, then it infers that the type for this field is `null` type before writing the data on disk. But as soon as it tries to map an example with a non-null \"match\" field, then it fai... | 1,629,795,042,000 | 1,630,419,334,000 | null | NONE | null | ## Describe the bug
I encountered an `ArrowInvalid` when mapping dataset with missing values.
Here are the files for a minimal example. The exception is only thrown when the first line in the csv has a missing value (if you move the last line to the top it isn't thrown).
[data_small.csv](https://github.com/huggingf... | {
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```
tar://books_large_p1.txt::https://storage.... | {
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https://api.github.com/repos/huggingface/datasets/issues/2826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2826/comments | https://api.github.com/repos/huggingface/datasets/issues/2826/events | https://github.com/huggingface/datasets/issues/2826 | 976,974,254 | MDU6SXNzdWU5NzY5NzQyNTQ= | 2,826 | Add a Text Classification dataset: KanHope | {
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"Hi ! In your script it looks like you're trying to load the dataset `bn_hate_speech,`, not KanHope.\r\n\r\nMoreover the error `KeyError: ' '` means that you have a feature of type ClassLabel, but for a certain example of the dataset, it looks like the label is empty (it's just a string with a space). Can you make ... | 1,629,721,318,000 | 1,633,111,619,000 | 1,633,111,619,000 | CONTRIBUTOR | null | ## Adding a Dataset
- **Name:** *KanHope*
- **Description:** *A code-mixed English-Kannada dataset for Hope speech detection*
- **Paper:** *https://arxiv.org/abs/2108.04616* (I am the author of the paper}
- **Author:** *[AdeepH](https://github.com/adeepH)*
- **Data:** *https://github.com/adeepH/KanHope/tree/main/d... | {
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"This also happened to me on COLAB.\r\nDetails:\r\nI ran the `run_mlm.py` in two different notebooks. \r\nIn the first notebook, I do tokenization since I can get 4 CPU cores without any GPUs, and save the cache into a folder which I copy to drive.\r\nIn the second notebook, I copy the cache folder from drive and r... | 1,629,689,017,000 | 1,630,415,681,000 | 1,630,415,616,000 | NONE | null | ## Describe the bug
The datasets.map function caches the processed data to a certain directory. When the map function is called another time with totally the same parameters, the cached data are supposed to be reloaded instead of re-processing. However, it doesn't reuse cached data sometimes. I use the common data pro... | {
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https://api.github.com/repos/huggingface/datasets/issues/2823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2823/comments | https://api.github.com/repos/huggingface/datasets/issues/2823/events | https://github.com/huggingface/datasets/issues/2823 | 976,135,355 | MDU6SXNzdWU5NzYxMzUzNTU= | 2,823 | HF_DATASETS_CACHE variable in Windows | {
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"Agh - I'm a muppet. No quote marks are needed.\r\nset HF_DATASETS_CACHE = C:\\Datasets\r\nworks as intended."
] | 1,629,551,864,000 | 1,629,552,011,000 | 1,629,552,011,000 | NONE | null | I can't seem to use a custom Cache directory in Windows. I have tried:
set HF_DATASETS_CACHE = "C:\Datasets"
set HF_DATASETS_CACHE = "C:/Datasets"
set HF_DATASETS_CACHE = "C:\\Datasets"
set HF_DATASETS_CACHE = "r'C:\Datasets'"
set HF_DATASETS_CACHE = "\Datasets"
set HF_DATASETS_CACHE = "/Datasets"
In each in... | {
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https://api.github.com/repos/huggingface/datasets/issues/2821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2821/comments | https://api.github.com/repos/huggingface/datasets/issues/2821/events | https://github.com/huggingface/datasets/issues/2821 | 975,556,032 | MDU6SXNzdWU5NzU1NTYwMzI= | 2,821 | Cannot load linnaeus dataset | {
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"Thanks for reporting ! #2852 fixed this error\r\n\r\nWe'll do a new release of `datasets` soon :)"
] | 1,629,461,715,000 | 1,630,415,582,000 | 1,630,415,529,000 | NONE | null | ## Describe the bug
The [linnaeus](https://huggingface.co/datasets/linnaeus) dataset cannot be loaded. To reproduce:
```
from datasets import load_dataset
datasets = load_dataset("linnaeus")
```
This results in:
```
Downloading and preparing dataset linnaeus/linnaeus (download: 17.36 MiB, generated: 8.74 MiB,... | {
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https://api.github.com/repos/huggingface/datasets/issues/2820 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2820/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2820/comments | https://api.github.com/repos/huggingface/datasets/issues/2820/events | https://github.com/huggingface/datasets/issues/2820 | 975,210,712 | MDU6SXNzdWU5NzUyMTA3MTI= | 2,820 | Downloading “reddit” dataset keeps timing out. | {
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"```\r\nUsing custom data configuration default\r\nDownloading and preparing dataset reddit/default (download: 2.93 GiB, generated: 17.64 GiB, post-processed: Unknown size, total: 20.57 GiB) to /Volumes/My Passport for Mac/og-chat-data/reddit/default/1.0.0/98ba5abea674d3178f7588aa6518a5510dc0c6fa8176d9653a3546d5afc... | 1,629,427,956,000 | 1,631,112,722,000 | 1,631,112,722,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
Everytime I try and download the reddit dataset it times out before finishing and I have to try again.
There is some timeout error that I will post once it happens again.
## Steps to reproduce the bug
```python
from datasets import load_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2818/comments | https://api.github.com/repos/huggingface/datasets/issues/2818/events | https://github.com/huggingface/datasets/issues/2818 | 974,552,009 | MDU6SXNzdWU5NzQ1NTIwMDk= | 2,818 | cannot load data from my loacal path | {
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"Hi ! The `data_files` parameter must be a string, a list/tuple or a python dict.\r\n\r\nCan you check the type of your `config.train_path` please ? Or use `data_files=str(config.train_path)` ?"
] | 1,629,371,610,000 | 1,630,399,576,000 | null | NONE | null | ## Describe the bug
I just want to directly load data from my local path,but find a bug.And I compare it with pandas to provide my local path is real.
here is my code
```python3
# print my local path
print(config.train_path)
# read data and print data length
tarin=pd.read_csv(config.train_path)
print(len(tari... | {
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https://api.github.com/repos/huggingface/datasets/issues/2816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2816/comments | https://api.github.com/repos/huggingface/datasets/issues/2816/events | https://github.com/huggingface/datasets/issues/2816 | 974,031,404 | MDU6SXNzdWU5NzQwMzE0MDQ= | 2,816 | Add Mostly Basic Python Problems Dataset | {
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"I started working on that."
] | 1,629,318,519,000 | 1,631,261,060,000 | null | NONE | null | ## Adding a Dataset
- **Name:** Mostly Basic Python Problems Dataset
- **Description:** The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2813/comments | https://api.github.com/repos/huggingface/datasets/issues/2813/events | https://github.com/huggingface/datasets/issues/2813 | 973,470,580 | MDU6SXNzdWU5NzM0NzA1ODA= | 2,813 | Remove compression from xopen | {
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"After discussing with @lhoestq, a reasonable alternative:\r\n- `download_manager.extract(urlpath)` adds prefixes to `urlpath` in the same way as `fsspec` does for protocols, but we implement custom prefixes for all compression formats: \r\n `bz2::http://domain.org/filename.bz2`\r\n- `xopen` parses the `urlpath` a... | 1,629,279,359,000 | 1,629,734,354,000 | 1,629,734,354,000 | MEMBER | null | We implemented support for streaming with 2 requirements:
- transparent use for the end user: just needs to pass the parameter `streaming=True`
- no additional work for the contributors: previous loading scripts should also work in streaming mode with no (or minor) changes; and new loading scripts should not involve ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2812/comments | https://api.github.com/repos/huggingface/datasets/issues/2812/events | https://github.com/huggingface/datasets/issues/2812 | 972,936,889 | MDU6SXNzdWU5NzI5MzY4ODk= | 2,812 | arXiv Dataset verification problem | {
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`dataset_infos.json` for `arxiv_dataset` contains a fixed number of training examples, however the data (downloaded from an external source) is updated every week with additional examples.
Therefore, loading the dataset without `ignore_verifications=True` results in a verification error. | {
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https://api.github.com/repos/huggingface/datasets/issues/2808 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2808/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2808/comments | https://api.github.com/repos/huggingface/datasets/issues/2808/events | https://github.com/huggingface/datasets/issues/2808 | 971,882,320 | MDU6SXNzdWU5NzE4ODIzMjA= | 2,808 | Enable streaming for Wikipedia corpora | {
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Several of the [Wikipedia corpora](https://huggingface.co/datasets?search=wiki) on the Hub involve quite large files that would be a good candidate for streaming. Currently it is not possible to stream these corpora:
```python
from datasets import ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2799/comments | https://api.github.com/repos/huggingface/datasets/issues/2799/events | https://github.com/huggingface/datasets/issues/2799 | 970,507,351 | MDU6SXNzdWU5NzA1MDczNTE= | 2,799 | Loading JSON throws ArrowNotImplementedError | {
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"Hi @lewtun, thanks for reporting.\r\n\r\nApparently, `pyarrow.json` tries to cast timestamp-like fields in your JSON file to pyarrow timestamp type, and it fails with `ArrowNotImplementedError`.\r\n\r\nI will investigate if there is a way to tell pyarrow not to try that timestamp casting.",
"I think the issue is... | 1,628,868,708,000 | 1,633,111,580,000 | null | MEMBER | null | ## Describe the bug
I have created a [dataset](https://huggingface.co/datasets/lewtun/github-issues-test) of GitHub issues in line-separated JSON format and am finding that I cannot load it with the `json` loading script (see stack trace below).
Curiously, there is no problem loading the dataset with `pandas` which... | {
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https://api.github.com/repos/huggingface/datasets/issues/2797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2797/comments | https://api.github.com/repos/huggingface/datasets/issues/2797/events | https://github.com/huggingface/datasets/issues/2797 | 970,331,634 | MDU6SXNzdWU5NzAzMzE2MzQ= | 2,797 | Make creating/editing dataset cards easier, by editing on site and dumping info from test command. | {
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] | open | false | null | [] | null | [] | 1,628,855,689,000 | 1,628,930,529,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
Creating and editing dataset cards should be but not that easy
- If other else know Some information I don't know (bias of dataset, dataset curation, supported dataset, ...), he/she should know the description on hf.co comes from README.md under git... | {
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https://api.github.com/repos/huggingface/datasets/issues/2794 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2794/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2794/comments | https://api.github.com/repos/huggingface/datasets/issues/2794/events | https://github.com/huggingface/datasets/issues/2794 | 969,728,545 | MDU6SXNzdWU5Njk3Mjg1NDU= | 2,794 | Warnings and documentation about pickling incorrect | {
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] | open | false | null | [] | null | [] | 1,628,809,753,000 | 1,628,809,771,000 | null | NONE | null | ## Describe the bug
I have a docs bug and a closely related docs enhancement suggestion!
### Bug
The warning and documentation say "either `dill` or `pickle`" for fingerprinting. But it seems that `dill`, which is installed by `datasets` by default, _must_ work, or else the fingerprinting fails.
Warning:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2788/comments | https://api.github.com/repos/huggingface/datasets/issues/2788/events | https://github.com/huggingface/datasets/issues/2788 | 967,149,389 | MDU6SXNzdWU5NjcxNDkzODk= | 2,788 | How to sample every file in a list of files making up a split in a dataset when loading? | {
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"Hi ! This is not possible just with `load_dataset`.\r\n\r\nYou can do something like this instead:\r\n```python\r\nseed=42\r\ndata_files_dict = {\r\n \"train\": [train_file1, train_file2],\r\n \"test\": [test_file1, test_file2],\r\n \"val\": [val_file1, val_file2]\r\n}\r\ndataset = datasets.load_dataset(\... | 1,628,703,801,000 | 1,629,738,742,000 | null | NONE | null | I am loading a dataset with multiple train, test, and validation files like this:
```
data_files_dict = {
"train": [train_file1, train_file2],
"test": [test_file1, test_file2],
"val": [val_file1, val_file2]
}
dataset = datasets.load_dataset(
"csv",
data_files=data_files_dict,
split=[... | {
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https://api.github.com/repos/huggingface/datasets/issues/2787 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2787/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2787/comments | https://api.github.com/repos/huggingface/datasets/issues/2787/events | https://github.com/huggingface/datasets/issues/2787 | 967,018,406 | MDU6SXNzdWU5NjcwMTg0MDY= | 2,787 | ConnectionError: Couldn't reach https://raw.githubusercontent.com | {
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"the bug code locate in ：\r\n if data_args.task_name is not None:\r\n # Downloading and loading a dataset from the hub.\r\n datasets = load_dataset(\"glue\", data_args.task_name, cache_dir=model_args.cache_dir)",
"Hi @jinec,\r\n\r\nFrom time to time we get this kind of `ConnectionError` coming fr... | 1,628,698,741,000 | 1,637,735,138,000 | 1,629,299,358,000 | NONE | null | Hello,
I am trying to run run_glue.py and it gives me this error -
Traceback (most recent call last):
File "E:/BERT/pytorch_hugging/transformers/examples/pytorch/text-classification/run_glue.py", line 546, in <module>
main()
File "E:/BERT/pytorch_hugging/transformers/examples/pytorch/text-classification/... | {
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https://api.github.com/repos/huggingface/datasets/issues/2781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2781/comments | https://api.github.com/repos/huggingface/datasets/issues/2781/events | https://github.com/huggingface/datasets/issues/2781 | 964,805,351 | MDU6SXNzdWU5NjQ4MDUzNTE= | 2,781 | Latest v2.0.0 release of sacrebleu has broken some metrics | {
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After `sacrebleu` v2.0.0 release (see changes here: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15), some of `datasets` metrics are broken:
- Default tokenizer `sacrebleu.DEFAULT_TOKENIZER` no longer exists:
- #273... | {
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https://api.github.com/repos/huggingface/datasets/issues/2776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2776/comments | https://api.github.com/repos/huggingface/datasets/issues/2776/events | https://github.com/huggingface/datasets/issues/2776 | 964,400,596 | MDU6SXNzdWU5NjQ0MDA1OTY= | 2,776 | document `config.HF_DATASETS_OFFLINE` and precedence | {
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] | open | false | null | [] | null | [] | 1,628,544,197,000 | 1,628,544,197,000 | null | CONTRIBUTOR | null | https://github.com/huggingface/datasets/pull/1976 implemented `HF_DATASETS_OFFLINE`, but:
1. `config.HF_DATASETS_OFFLINE` is not documented
2. the precedence is not documented (env, config)
I'm thinking it probably should be similar to what it says https://huggingface.co/docs/datasets/loading_datasets.html#from-th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2775/comments | https://api.github.com/repos/huggingface/datasets/issues/2775/events | https://github.com/huggingface/datasets/issues/2775 | 964,303,626 | MDU6SXNzdWU5NjQzMDM2MjY= | 2,775 | `generate_random_fingerprint()` deterministic with 🤗Transformers' `set_seed()` | {
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"I dug into what I believe is the root of this issue and added a repro in my comment. If this is better addressed as a cross-team issue, let me know and I can open an issue in the Transformers repo",
"Hi !\r\n\r\nIMO we shouldn't try to modify `set_seed` from transformers but maybe make `datasets` have its own RN... | 1,628,537,331,000 | 1,629,966,654,000 | null | NONE | null | ## Describe the bug
**Update:** I dug into this to try to reproduce the underlying issue, and I believe it's that `set_seed()` from the `transformers` library makes the "random" fingerprint identical each time. I believe this is still a bug, because `datasets` is used exactly this way in `transformers` after `set_se... | {
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https://api.github.com/repos/huggingface/datasets/issues/2773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2773/comments | https://api.github.com/repos/huggingface/datasets/issues/2773/events | https://github.com/huggingface/datasets/issues/2773 | 963,730,497 | MDU6SXNzdWU5NjM3MzA0OTc= | 2,773 | Remove dataset_infos.json | {
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"node_id": "MDU6... | open | false | null | [] | null | [] | 1,628,494,999,000 | 1,628,494,999,000 | null | MEMBER | null | **Is your feature request related to a problem? Please describe.**
As discussed, there are infos in the `dataset_infos.json` which are redundant and we could have them only in the README file.
Others could be migrated to the README, like: "dataset_size", "size_in_bytes", "download_size", "splits.split_name.[num_byt... | {
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https://api.github.com/repos/huggingface/datasets/issues/2772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2772/comments | https://api.github.com/repos/huggingface/datasets/issues/2772/events | https://github.com/huggingface/datasets/issues/2772 | 963,348,834 | MDU6SXNzdWU5NjMzNDg4MzQ= | 2,772 | Remove returned feature constrain | {
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] | open | false | null | [] | null | [] | 1,628,395,290,000 | 1,628,412,481,000 | null | NONE | null | In the current version, the returned value of the map function has to be list or ndarray. However, this makes it unsuitable for many tasks. In NLP, many features are sparse like verb words, noun chunks, if we want to assign different values to different words, which will result in a large sparse matrix if we only score... | {
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https://api.github.com/repos/huggingface/datasets/issues/2768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2768/comments | https://api.github.com/repos/huggingface/datasets/issues/2768/events | https://github.com/huggingface/datasets/issues/2768 | 963,229,173 | MDU6SXNzdWU5NjMyMjkxNzM= | 2,768 | `ArrowInvalid: Added column's length must match table's length.` after using `select` | {
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"Hi,\r\n\r\nthe `select` method creates an indices mapping and doesn't modify the underlying PyArrow table by default for better performance. To modify the underlying table after the `select` call, call `flatten_indices` on the dataset object as follows:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds =... | 1,628,342,249,000 | 1,628,508,403,000 | 1,628,508,403,000 | CONTRIBUTOR | null | ## Describe the bug
I would like to add a column to a downsampled dataset. However I get an error message saying the length don't match with the length of the unsampled dataset indicated. I suspect that the dataset size is not updated when calling `select`.
## Steps to reproduce the bug
```python
from datasets im... | {
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https://api.github.com/repos/huggingface/datasets/issues/2767 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2767/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2767/comments | https://api.github.com/repos/huggingface/datasets/issues/2767/events | https://github.com/huggingface/datasets/issues/2767 | 963,002,120 | MDU6SXNzdWU5NjMwMDIxMjA= | 2,767 | equal operation to perform unbatch for huggingface datasets | {
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"Hi @lhoestq \r\nMaybe this is clearer to explain like this, currently map function, map one example to \"one\" modified one, lets assume we want to map one example to \"multiple\" examples, in which we do not know in advance how many examples they would be per each entry. I greatly appreciate telling me how I can ... | 1,628,279,152,000 | 1,628,366,181,000 | null | NONE | null | Hi
I need to use "unbatch" operation in tensorflow on a huggingface dataset, I could not find this operation, could you kindly direct me how I can do it, here is the problem I am trying to solve:
I am considering "record" dataset in SuperGlue and I need to replicate each entery of the dataset for each answer, to ma... | {
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https://api.github.com/repos/huggingface/datasets/issues/2765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2765/comments | https://api.github.com/repos/huggingface/datasets/issues/2765/events | https://github.com/huggingface/datasets/issues/2765 | 962,861,395 | MDU6SXNzdWU5NjI4NjEzOTU= | 2,765 | BERTScore Error | {
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"Hi,\r\n\r\nThe `use_fast_tokenizer` argument has been recently added to the bert-score lib. I've opened a PR with the fix. In the meantime, you can try to downgrade the version of bert-score with the following command to make the code work:\r\n```\r\npip uninstall bert-score\r\npip install \"bert-score<0.3.10\"\r\... | 1,628,265,537,000 | 1,628,507,785,000 | 1,628,507,785,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
predictions = ["hello there", "general kenobi"]
references = ["hello there", "general kenobi"]
bert = load_metric('bertscore')
bert.compute(predictions=predictions, references=references,lang='en')
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2763/comments | https://api.github.com/repos/huggingface/datasets/issues/2763/events | https://github.com/huggingface/datasets/issues/2763 | 961,895,523 | MDU6SXNzdWU5NjE4OTU1MjM= | 2,763 | English wikipedia datasets is not clean | {
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"Hi ! Certain users might need these data (for training or simply to explore/index the dataset).\r\n\r\nFeel free to implement a map function that gets rid of these paragraphs and process the wikipedia dataset with it before training"
] | 1,628,174,244,000 | 1,629,738,016,000 | null | CONTRIBUTOR | null | ## Describe the bug
Wikipedia english dumps contain many wikipedia paragraphs like "References", "Category:" and "See Also" that should not be used for training.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import load_dataset
w = load_dataset('wikipedia', '20200501.e... | {
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https://api.github.com/repos/huggingface/datasets/issues/2762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2762/comments | https://api.github.com/repos/huggingface/datasets/issues/2762/events | https://github.com/huggingface/datasets/issues/2762 | 961,652,046 | MDU6SXNzdWU5NjE2NTIwNDY= | 2,762 | Add RVL-CDIP dataset | {
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"cc @nateraw "
] | 1,628,157,425,000 | 1,638,965,146,000 | null | NONE | null | ## Adding a Dataset
- **Name:** RVL-CDIP
- **Description:** The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The image... | {
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https://api.github.com/repos/huggingface/datasets/issues/2761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2761/comments | https://api.github.com/repos/huggingface/datasets/issues/2761/events | https://github.com/huggingface/datasets/issues/2761 | 961,568,287 | MDU6SXNzdWU5NjE1NjgyODc= | 2,761 | Error loading C4 realnewslike dataset | {
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"Hi @danshirron, \r\n`c4` was updated few days back by @lhoestq. The new configs are `['en', 'en.noclean', 'en.realnewslike', 'en.webtextlike'].` You'll need to remove any older version of this dataset you previously downloaded and then run `load_dataset` again with new configuration.",
"@bhavitvyamalik @lhoestq ... | 1,628,151,418,000 | 1,628,451,874,000 | 1,628,451,874,000 | NONE | null | ## Describe the bug
Error loading C4 realnewslike dataset. Validation part mismatch
## Steps to reproduce the bug
```python
raw_datasets = load_dataset('c4', 'realnewslike', cache_dir=model_args.cache_dir)
## Expected results
success on data loading
## Actual results
Downloading: 100%|███████████████████████... | {
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https://api.github.com/repos/huggingface/datasets/issues/2760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2760/comments | https://api.github.com/repos/huggingface/datasets/issues/2760/events | https://github.com/huggingface/datasets/issues/2760 | 961,372,667 | MDU6SXNzdWU5NjEzNzI2Njc= | 2,760 | Add Nuswide dataset | {
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- **Name:** *NUSWIDE*
- **Description:** *[A Real-World Web Image Dataset from National University of Singapore](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html)*
- **Paper:** *[here](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/nuswide-c... | {
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"the issue is caused by the differences between varied meteor versions:\r\nmeteor1.0 is for https://aclanthology.org/W07-0734.pdf\r\nmeteor1.5 is for https://aclanthology.org/W14-3348.pdf\r\n\r\nhere is a very similar issue in NLTK\r\nhttps://github.com/nltk/nltk/issues/2655",
"Hi @jianguda, thanks for reporting.... | 1,628,091,197,000 | 1,628,097,534,000 | null | NONE | null | ## Describe the bug
The computed meteor score seems strange because the value is very different from the scores computed by other tools. For example, I use the meteor score computed by [NLGeval](https://github.com/Maluuba/nlg-eval) as the reference (which reuses the official jar file for the computation)
## Steps t... | {
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"Hi @JulesBelveze, thanks for your question.\r\n\r\nNote that 🤗 `datasets` internally store their data in Apache Arrow format.\r\n\r\nHowever, when accessing dataset columns, by default they are returned as native Python objects (lists in this case).\r\n\r\nIf you would like their columns to be returned in a more... | 1,628,061,039,000 | 1,628,092,884,000 | 1,628,092,883,000 | NONE | null | ## Describe the bug
I am trying to concatenate two `Dataset` using `concatenate_datasets` but it turns out that after concatenation the features are casted from `torch.Tensor` to `list`.
It then leads to a weird tensors when trying to convert it to a `DataLoader`. However, if I use each `Dataset` separately everythi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2750/comments | https://api.github.com/repos/huggingface/datasets/issues/2750/events | https://github.com/huggingface/datasets/issues/2750 | 958,984,730 | MDU6SXNzdWU5NTg5ODQ3MzA= | 2,750 | Second concatenation of datasets produces errors | {
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"@albertvillanova ",
"Hi @Aktsvigun, thanks for reporting.\r\n\r\nI'm investigating this.",
"Hi @albertvillanova ,\r\nany update on this? Can I probably help in some way?",
"Hi @Aktsvigun! We are planning to address this issue before our next release, in a couple of weeks at most. 😅 \r\n\r\nIn the meantime, ... | 1,627,987,624,000 | 1,628,595,727,000 | null | NONE | null | Hi,
I am need to concatenate my dataset with others several times, and after I concatenate it for the second time, the features of features (e.g. tags names) are collapsed. This hinders, for instance, the usage of tokenize function with `data.map`.
```
from datasets import load_dataset, concatenate_datasets
d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2749 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2749/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2749/comments | https://api.github.com/repos/huggingface/datasets/issues/2749/events | https://github.com/huggingface/datasets/issues/2749 | 958,968,748 | MDU6SXNzdWU5NTg5Njg3NDg= | 2,749 | Raise a proper exception when trying to stream a dataset that requires to manually download files | {
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"Hi @severo, thanks for reporting.\r\n\r\nAs discussed, datasets requiring manual download should be:\r\n- programmatically identifiable\r\n- properly handled with more clear error message when trying to load them with streaming\r\n\r\nIn relation with programmatically identifiability, note that for datasets requir... | 1,627,986,387,000 | 1,628,499,215,000 | 1,628,076,990,000 | CONTRIBUTOR | null | ## Describe the bug
At least for 'reclor', 'telugu_books', 'turkish_movie_sentiment', 'ubuntu_dialogs_corpus', 'wikihow', trying to `load_dataset` in streaming mode raises a `TypeError` without any detail about why it fails.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2746 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2746/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2746/comments | https://api.github.com/repos/huggingface/datasets/issues/2746/events | https://github.com/huggingface/datasets/issues/2746 | 958,551,619 | MDU6SXNzdWU5NTg1NTE2MTk= | 2,746 | Cannot load `few-nerd` dataset | {
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"Hi @Mehrad0711,\r\n\r\nI'm afraid there is no \"canonical\" Hugging Face dataset named \"few-nerd\".\r\n\r\nThere are 2 kinds of datasets hosted at the Hugging Face Hub:\r\n- canonical datasets (their identifier contains no slash \"/\"): we, the Hugging Face team, supervise their implementation and we make sure th... | 1,627,942,737,000 | 1,637,052,694,000 | 1,628,019,943,000 | NONE | null | ## Describe the bug
Cannot load `few-nerd` dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('few-nerd', 'supervised')
```
## Actual results
Executing above code will give the following error:
```
Using the latest cached version of the module from /Users... | {
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"As discussed, the metadata JSON files must be regenerated because the keys were nor properly generated and they will not be read by the builder:\r\n> Indeed there is some problem/bug while reading the datasets_info.json file: there is a mismatch with the config.name keys in the file...\r\nIn the meanwhile, in orde... | 1,627,909,286,000 | 1,627,985,217,000 | 1,627,982,733,000 | CONTRIBUTOR | null | ## Describe the bug
The JSON file generated for https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/journalists_questions.py is https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/2742 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2742/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2742/comments | https://api.github.com/repos/huggingface/datasets/issues/2742/events | https://github.com/huggingface/datasets/issues/2742 | 958,114,064 | MDU6SXNzdWU5NTgxMTQwNjQ= | 2,742 | Improve detection of streamable file types | {
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"maybe we should rather attempt to download a `Range` from the server and see if it works?"
] | 1,627,908,909,000 | 1,636,737,490,000 | 1,636,737,490,000 | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
```python
from datasets import load_dataset_builder
from datasets.utils.streaming_download_manager import StreamingDownloadManager
builder = load_dataset_builder("journalists_questions", name="plain_text")
builder._split_generators(StreamingDownl... | {
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https://api.github.com/repos/huggingface/datasets/issues/2741 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2741/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2741/comments | https://api.github.com/repos/huggingface/datasets/issues/2741/events | https://github.com/huggingface/datasets/issues/2741 | 957,979,559 | MDU6SXNzdWU5NTc5Nzk1NTk= | 2,741 | Add Hypersim dataset | {
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... | open | false | null | [] | null | [] | 1,627,898,810,000 | 1,638,965,211,000 | null | NONE | null | ## Adding a Dataset
- **Name:** Hypersim
- **Description:** photorealistic synthetic dataset for holistic indoor scene understanding
- **Paper:** *link to the dataset paper if available*
- **Data:** https://github.com/apple/ml-hypersim
Instructions to add a new dataset can be found [here](https://github.com/hugg... | {
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https://api.github.com/repos/huggingface/datasets/issues/2737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2737/comments | https://api.github.com/repos/huggingface/datasets/issues/2737/events | https://github.com/huggingface/datasets/issues/2737 | 957,124,881 | MDU6SXNzdWU5NTcxMjQ4ODE= | 2,737 | SacreBLEU update | {
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"Hi @devrimcavusoglu, \r\nI tried your code with latest version of `datasets`and `sacrebleu==1.5.1` and it's running fine after changing one small thing:\r\n```\r\nsacrebleu = datasets.load_metric('sacrebleu')\r\npredictions = [\"It is a guide to action which ensures that the military always obeys the commands of t... | 1,627,689,188,000 | 1,632,307,661,000 | 1,627,964,617,000 | NONE | null | With the latest release of [sacrebleu](https://github.com/mjpost/sacrebleu), `datasets.metrics.sacrebleu` is broken, and getting error.
AttributeError: module 'sacrebleu' has no attribute 'DEFAULT_TOKENIZER'
this happens since in new version of sacrebleu there is no `DEFAULT_TOKENIZER`, but sacrebleu.py tries... | {
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https://api.github.com/repos/huggingface/datasets/issues/2736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2736/comments | https://api.github.com/repos/huggingface/datasets/issues/2736/events | https://github.com/huggingface/datasets/issues/2736 | 956,895,199 | MDU6SXNzdWU5NTY4OTUxOTk= | 2,736 | Add Microsoft Building Footprints dataset | {
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"Motivation: this can be a useful dataset for researchers working on climate change adaptation, urban studies, geography, etc. I'll see if I can figure out how to add it!"
] | 1,627,661,828,000 | 1,638,965,343,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Microsoft Building Footprints
- **Description:** With the goal to increase the coverage of building footprint data available as open data for OpenStreetMap and humanitarian efforts, we have released millions of building footprints as open data available to download free of charge.
- *... | {
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https://api.github.com/repos/huggingface/datasets/issues/2735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2735/comments | https://api.github.com/repos/huggingface/datasets/issues/2735/events | https://github.com/huggingface/datasets/issues/2735 | 956,889,365 | MDU6SXNzdWU5NTY4ODkzNjU= | 2,735 | Add Open Buildings dataset | {
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- **Name:** Open Buildings
- **Description:** A dataset of building footprints to support social good applications.
Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science.... | {
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https://api.github.com/repos/huggingface/datasets/issues/2730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2730/comments | https://api.github.com/repos/huggingface/datasets/issues/2730/events | https://github.com/huggingface/datasets/issues/2730 | 955,987,834 | MDU6SXNzdWU5NTU5ODc4MzQ= | 2,730 | Update CommonVoice with new release | {
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"cc @patrickvonplaten?",
"Does anybody know if there is a bundled link, which would allow direct data download instead of manual? \r\nSomething similar to: `https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/ab.tar.gz` ? cc @patil-suraj \r\n",
"Also see... | 1,627,574,399,000 | 1,628,353,159,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** CommonVoice mid-2021 release
- **Description:** more data in CommonVoice: Languages that have increased the most by percentage are Thai (almost 20x growth, from 12 hours to 250 hours), Luganda (almost 9x growth, from 8 to 80), Esperanto (7x growth, from 100 to 840), and Tamil (almost 8... | {
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https://api.github.com/repos/huggingface/datasets/issues/2728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2728/comments | https://api.github.com/repos/huggingface/datasets/issues/2728/events | https://github.com/huggingface/datasets/issues/2728 | 955,892,970 | MDU6SXNzdWU5NTU4OTI5NzA= | 2,728 | Concurrent use of same dataset (already downloaded) | {
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"Launching simultaneous job relying on the same datasets try some writing issue. I guess it is unexpected since I only need to load some already downloaded file.",
"If i have two jobs that use the same dataset. I got :\r\n\r\n\r\n File \"compute_measures.py\", line 181, in <module>\r\n train_loader, val_loade... | 1,627,568,318,000 | 1,627,889,157,000 | null | CONTRIBUTOR | null | ## Describe the bug
When launching several jobs at the same time loading the same dataset trigger some errors see (last comments).
## Steps to reproduce the bug
export HF_DATASETS_CACHE=/gpfswork/rech/toto/datasets
for MODEL in "bert-base-uncased" "roberta-base" "distilbert-base-cased"; do # "bert-base-uncased" ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2727/comments | https://api.github.com/repos/huggingface/datasets/issues/2727/events | https://github.com/huggingface/datasets/issues/2727 | 955,812,149 | MDU6SXNzdWU5NTU4MTIxNDk= | 2,727 | Error in loading the Arabic Billion Words Corpus | {
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"I modified the dataset loading script to catch the `IndexError` and inspect the records at which the error is happening, and I found this:\r\nFor the `Techreen` config, the error happens in 36 records when trying to find the `Text` or `Dateline` tags. All these 36 records look something like:\r\n```\r\n<Techreen>\... | 1,627,563,189,000 | 1,627,650,235,000 | 1,627,650,235,000 | CONTRIBUTOR | null | ## Describe the bug
I get `IndexError: list index out of range` when trying to load the `Techreen` and `Almustaqbal` configs of the dataset.
## Steps to reproduce the bug
```python
load_dataset("arabic_billion_words", "Techreen")
load_dataset("arabic_billion_words", "Almustaqbal")
```
## Expected results
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2724/comments | https://api.github.com/repos/huggingface/datasets/issues/2724/events | https://github.com/huggingface/datasets/issues/2724 | 954,919,607 | MDU6SXNzdWU5NTQ5MTk2MDc= | 2,724 | 404 Error when loading remote data files from private repo | {
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"I guess the issue is when computing the ETags of the remote files. Indeed `use_auth_token` must be passed to `request_etags` here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/35b5e4bc0cb2ed896e40f3eb2a4aa3de1cb1a6c5/src/datasets/builder.py#L160-L160",
"Yes, I remember having properly implemented that: \r... | 1,627,482,263,000 | 1,627,534,729,000 | 1,627,490,281,000 | MEMBER | null | ## Describe the bug
When loading remote data files from a private repo, a 404 error is raised.
## Steps to reproduce the bug
```python
url = hf_hub_url("lewtun/asr-preds-test", "preds.jsonl", repo_type="dataset")
dset = load_dataset("json", data_files=url, use_auth_token=True)
# HTTPError: 404 Client Error: Not... | {
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https://api.github.com/repos/huggingface/datasets/issues/2722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2722/comments | https://api.github.com/repos/huggingface/datasets/issues/2722/events | https://github.com/huggingface/datasets/issues/2722 | 954,446,053 | MDU6SXNzdWU5NTQ0NDYwNTM= | 2,722 | Missing cache file | {
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"This could be solved by going to the glue/ directory and delete sst2 directory, then load the dataset again will help you redownload the dataset.",
"Hi ! Not sure why this file was missing, but yes the way to fix this is to delete the sst2 directory and to reload the dataset"
] | 1,627,444,327,000 | 1,627,463,223,000 | null | NONE | null | Strangely missing cache file after I restart my program again.
`glue_dataset = datasets.load_dataset('glue', 'sst2')`
`FileNotFoundError: [Errno 2] No such file or directory: /Users/chris/.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96d6053ad/dataset_info.json... | {
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https://api.github.com/repos/huggingface/datasets/issues/2719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2719/comments | https://api.github.com/repos/huggingface/datasets/issues/2719/events | https://github.com/huggingface/datasets/issues/2719 | 953,932,416 | MDU6SXNzdWU5NTM5MzI0MTY= | 2,719 | Use ETag in streaming mode to detect resource updates | {
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I want to cache data I generate from processing a dataset I've loaded in streaming mode, but I've currently no way to know if the remote data has been updated or not, thus I don't know when to invalidate my cache.
**Describe the solution you'd lik... | {
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https://api.github.com/repos/huggingface/datasets/issues/2716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2716/comments | https://api.github.com/repos/huggingface/datasets/issues/2716/events | https://github.com/huggingface/datasets/issues/2716 | 952,902,778 | MDU6SXNzdWU5NTI5MDI3Nzg= | 2,716 | Calling shuffle on IterableDataset will disable batching in case any functions were mapped | {
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"Hi :) Good catch ! Feel free to open a PR if you want to contribute, this would be very welcome ;)",
"Have raised the PR [here](https://github.com/huggingface/datasets/pull/2717)",
"Fixed by #2717."
] | 1,627,305,899,000 | 1,627,322,683,000 | 1,627,322,683,000 | CONTRIBUTOR | null | When using dataset in streaming mode, if one applies `shuffle` method on the dataset and `map` method for which `batched=True` than the batching operation will not happen, instead `batched` will be set to `False`
I did RCA on the dataset codebase, the problem is emerging from [this line of code](https://github.com/h... | {
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https://api.github.com/repos/huggingface/datasets/issues/2714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2714/comments | https://api.github.com/repos/huggingface/datasets/issues/2714/events | https://github.com/huggingface/datasets/issues/2714 | 952,580,820 | MDU6SXNzdWU5NTI1ODA4MjA= | 2,714 | add more precise information for size | {
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"We already have this information in the dataset_infos.json files of each dataset.\r\nMaybe we can parse these files in the backend to return their content with the endpoint at huggingface.co/api/datasets\r\n\r\nFor now if you want to access this info you have to load the json for each dataset. For example:\r\n- fo... | 1,627,283,463,000 | 1,627,290,985,000 | null | NONE | null | 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. | {
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https://api.github.com/repos/huggingface/datasets/issues/2709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2709/comments | https://api.github.com/repos/huggingface/datasets/issues/2709/events | https://github.com/huggingface/datasets/issues/2709 | 951,534,757 | MDU6SXNzdWU5NTE1MzQ3NTc= | 2,709 | Missing documentation for wnut_17 (ner_tags) | {
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"Hi @maxpel, thanks for reporting this issue.\r\n\r\nIndeed, the documentation in the dataset card is not complete. I’m opening a Pull Request to fix it.\r\n\r\nAs the paper explains, there are 6 entity types and we have ordered them alphabetically: `corporation`, `creative-work`, `group`, `location`, `person` and ... | 1,627,043,132,000 | 1,627,291,855,000 | 1,627,291,855,000 | CONTRIBUTOR | null | 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).`
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2708/comments | https://api.github.com/repos/huggingface/datasets/issues/2708/events | https://github.com/huggingface/datasets/issues/2708 | 951,092,660 | MDU6SXNzdWU5NTEwOTI2NjA= | 2,708 | QASC: incomplete training set | {
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"Hi @danyaljj, thanks for reporting.\r\n\r\nUnfortunately, I have not been able to reproduce your problem. My train split has 8134 examples:\r\n```ipython\r\nIn [10]: ds[\"train\"]\r\nOut[10]:\r\nDataset({\r\n features: ['id', 'question', 'choices', 'answerKey', 'fact1', 'fact2', 'combinedfact', 'formatted_quest... | 1,626,991,184,000 | 1,627,047,007,000 | 1,627,047,007,000 | CONTRIBUTOR | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2707/comments | https://api.github.com/repos/huggingface/datasets/issues/2707/events | https://github.com/huggingface/datasets/issues/2707 | 950,812,945 | MDU6SXNzdWU5NTA4MTI5NDU= | 2,707 | 404 Not Found Error when loading LAMA dataset | {
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"Hi @dwil2444! I was able to reproduce your error when I downgraded to v1.1.2. Updating to the latest version of Datasets fixed the error for me :)",
"Hi @dwil2444, thanks for reporting.\r\n\r\nCould you please confirm which `datasets` version you were using and if the problem persists after you update it to the ... | 1,626,969,153,000 | 1,627,309,747,000 | 1,627,309,747,000 | NONE | null | 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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2705/comments | https://api.github.com/repos/huggingface/datasets/issues/2705/events | https://github.com/huggingface/datasets/issues/2705 | 950,488,583 | MDU6SXNzdWU5NTA0ODg1ODM= | 2,705 | 404 not found error on loading WIKIANN dataset | {
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"Hi @ronbutan, thanks for reporting.\r\n\r\nYou are right: we have recently found that the link to the original PAN-X dataset (also called WikiANN), hosted at Dropbox, is no longer working.\r\n\r\nWe have opened an issue in the GitHub repository of the original dataset (afshinrahimi/mmner#4) and we have also contac... | 1,626,947,750,000 | 1,627,027,652,000 | 1,627,027,652,000 | NONE | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2703/comments | https://api.github.com/repos/huggingface/datasets/issues/2703/events | https://github.com/huggingface/datasets/issues/2703 | 950,482,284 | MDU6SXNzdWU5NTA0ODIyODQ= | 2,703 | Bad message when config name is missing | {
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"followers_url": "https://api.git... | null | [] | 1,626,947,243,000 | 1,626,948,160,000 | 1,626,948,160,000 | MEMBER | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2700/comments | https://api.github.com/repos/huggingface/datasets/issues/2700/events | https://github.com/huggingface/datasets/issues/2700 | 950,276,325 | MDU6SXNzdWU5NTAyNzYzMjU= | 2,700 | from datasets import Dataset is failing | {
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"Hi @kswamy15, thanks for reporting.\r\n\r\nWe are fixing this critical issue and making an urgent patch release of the `datasets` library today.\r\n\r\nIn the meantime, you can circumvent this issue by updating the `tqdm` library: `!pip install -U tqdm`"
] | 1,626,925,883,000 | 1,626,938,625,000 | 1,626,937,747,000 | NONE | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2699/comments | https://api.github.com/repos/huggingface/datasets/issues/2699/events | https://github.com/huggingface/datasets/issues/2699 | 950,221,226 | MDU6SXNzdWU5NTAyMjEyMjY= | 2,699 | cannot combine splits merging and streaming? | {
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"Hi ! That's missing indeed. We'll try to implement this for the next version :)\r\n\r\nI guess we just need to implement #2564 first, and then we should be able to add support for splits combinations"
] | 1,626,916,405,000 | 1,626,942,467,000 | null | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2695 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2695/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2695/comments | https://api.github.com/repos/huggingface/datasets/issues/2695/events | https://github.com/huggingface/datasets/issues/2695 | 949,864,823 | MDU6SXNzdWU5NDk4NjQ4MjM= | 2,695 | Cannot import load_dataset on Colab | {
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"I'm facing the same issue on Colab today too.\r\n\r\n```\r\nModuleNotFoundError Traceback (most recent call last)\r\n<ipython-input-4-5833ac0f5437> in <module>()\r\n 3 \r\n 4 from ray import tune\r\n----> 5 from datasets import DatasetDict, Dataset\r\n 6 from datasets import lo... | 1,626,882,771,000 | 1,626,938,785,000 | 1,626,937,747,000 | NONE | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2691 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2691/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2691/comments | https://api.github.com/repos/huggingface/datasets/issues/2691/events | https://github.com/huggingface/datasets/issues/2691 | 949,758,379 | MDU6SXNzdWU5NDk3NTgzNzk= | 2,691 | xtreme / pan-x cannot be downloaded | {
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"Hi @severo, thanks for reporting.\r\n\r\nHowever I have not been able to reproduce this issue. Could you please confirm if the problem persists for you?\r\n\r\nMaybe Dropbox (where the data source is hosted) was temporarily unavailable when you tried.",
"Hmmm, the file (https://www.dropbox.com/s/dl/12h3qqog6q4bj... | 1,626,877,085,000 | 1,627,292,062,000 | 1,627,292,062,000 | CONTRIBUTOR | null | ## 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:... | {
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https://api.github.com/repos/huggingface/datasets/issues/2689 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2689/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2689/comments | https://api.github.com/repos/huggingface/datasets/issues/2689/events | https://github.com/huggingface/datasets/issues/2689 | 949,447,104 | MDU6SXNzdWU5NDk0NDcxMDQ= | 2,689 | cannot save the dataset to disk after rename_column | {
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"Hi ! That's because you are trying to overwrite a file that is already open and being used.\r\nIndeed `foo/dataset.arrow` is open and used by your `dataset` object.\r\n\r\nWhen you do `rename_column`, the resulting dataset reads the data from the same arrow file.\r\nIn other cases like when using `map` on the othe... | 1,626,855,220,000 | 1,626,873,064,000 | 1,626,873,064,000 | CONTRIBUTOR | null | ## 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]})... | {
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https://api.github.com/repos/huggingface/datasets/issues/2688 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2688/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2688/comments | https://api.github.com/repos/huggingface/datasets/issues/2688/events | https://github.com/huggingface/datasets/issues/2688 | 949,182,074 | MDU6SXNzdWU5NDkxODIwNzQ= | 2,688 | hebrew language codes he and iw should be treated as aliases | {
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"Hi @eyaler, thanks for reporting.\r\n\r\nWhile you are true with respect the Hebrew language tag (\"iw\" is deprecated and \"he\" is the preferred value), in the \"mc4\" dataset (which is a derived dataset) we have kept the language tags present in the original dataset: [Google C4](https://www.tensorflow.org/datas... | 1,626,822,832,000 | 1,626,885,293,000 | 1,626,885,293,000 | NONE | null | https://huggingface.co/datasets/mc4 not listed when searching for hebrew datasets (he) as it uses the older language code iw, preventing discoverability. | {
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https://api.github.com/repos/huggingface/datasets/issues/2683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2683/comments | https://api.github.com/repos/huggingface/datasets/issues/2683/events | https://github.com/huggingface/datasets/issues/2683 | 948,721,379 | MDU6SXNzdWU5NDg3MjEzNzk= | 2,683 | Cache directories changed due to recent changes in how config kwargs are handled | {
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```python
from datasets import load_dataset_builder
c4_builder = load_dataset_builder("c4", "en")
print(c4_builder.cache_dir)
# /Users/quentinlhoest/.cache/huggingfac... | {
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https://api.github.com/repos/huggingface/datasets/issues/2681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2681/comments | https://api.github.com/repos/huggingface/datasets/issues/2681/events | https://github.com/huggingface/datasets/issues/2681 | 948,708,645 | MDU6SXNzdWU5NDg3MDg2NDU= | 2,681 | 5 duplicate datasets | {
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"Yes this was documented in the PR that added this hf->paperswithcode mapping (https://github.com/huggingface/datasets/pull/2404) and AFAICT those are slightly distinct datasets so I think it's a wontfix\r\n\r\nFor context on the paperswithcode mapping you can also refer to https://github.com/huggingface/huggingfac... | 1,626,791,100,000 | 1,626,795,857,000 | 1,626,795,857,000 | CONTRIBUTOR | null | ## 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
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https://api.github.com/repos/huggingface/datasets/issues/2679 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2679/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2679/comments | https://api.github.com/repos/huggingface/datasets/issues/2679/events | https://github.com/huggingface/datasets/issues/2679 | 948,506,638 | MDU6SXNzdWU5NDg1MDY2Mzg= | 2,679 | Cannot load the blog_authorship_corpus due to codec errors | {
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"Hi @izaskr, thanks for reporting.\r\n\r\nHowever the traceback you joined does not correspond to the codec error message: it is about other error `NonMatchingSplitsSizesError`. Maybe you missed some important part of your traceback...\r\n\r\nI'm going to have a look at the dataset anyway...",
"Hi @izaskr, thanks... | 1,626,776,000,000 | 1,626,886,941,000 | 1,626,873,118,000 | NONE | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2678/comments | https://api.github.com/repos/huggingface/datasets/issues/2678/events | https://github.com/huggingface/datasets/issues/2678 | 948,471,222 | MDU6SXNzdWU5NDg0NzEyMjI= | 2,678 | Import Error in Kaggle notebook | {
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"This looks like an issue with PyArrow. Did you try reinstalling it ?",
"@lhoestq I did, and then let pip handle the installation in `pip import datasets`. I also tried using conda but it gives the same error.\r\n\r\nEdit: pyarrow version on kaggle is 4.0.0, it gets replaced with 4.0.1. So, I don't think uninstal... | 1,626,773,318,000 | 1,626,875,966,000 | 1,626,872,582,000 | NONE | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2677 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2677/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2677/comments | https://api.github.com/repos/huggingface/datasets/issues/2677/events | https://github.com/huggingface/datasets/issues/2677 | 948,429,788 | MDU6SXNzdWU5NDg0Mjk3ODg= | 2,677 | Error when downloading C4 | {
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"Hi Thanks for reporting !\r\nIt looks like these files are not correctly reported in the list of expected files to download, let me fix that ;)",
"Alright this is fixed now. We'll do a new release soon to make the fix available.\r\n\r\nIn the meantime feel free to simply pass `ignore_verifications=True` to `load... | 1,626,770,250,000 | 1,626,792,091,000 | 1,626,791,890,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2670/comments | https://api.github.com/repos/huggingface/datasets/issues/2670/events | https://github.com/huggingface/datasets/issues/2670 | 947,120,709 | MDU6SXNzdWU5NDcxMjA3MDk= | 2,670 | Using sharding to parallelize indexing | {
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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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2669/comments | https://api.github.com/repos/huggingface/datasets/issues/2669/events | https://github.com/huggingface/datasets/issues/2669 | 946,982,998 | MDU6SXNzdWU5NDY5ODI5OTg= | 2,669 | Metric kwargs are not passed to underlying external metric f1_score | {
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"Hi @BramVanroy, thanks for reporting.\r\n\r\nFirst, note that `\"min\"` is not an allowed value for `average`. According to scikit-learn [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html), `average` can only take the values: `{\"micro\", \"macro\", \"samples\", \"weigh... | 1,626,597,151,000 | 1,626,633,365,000 | 1,626,607,144,000 | CONTRIBUTOR | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2663/comments | https://api.github.com/repos/huggingface/datasets/issues/2663/events | https://github.com/huggingface/datasets/issues/2663 | 946,552,273 | MDU6SXNzdWU5NDY1NTIyNzM= | 2,663 | [`to_json`] add multi-proc sharding support | {
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"Hi @stas00, \r\nI want to work on this issue and I was thinking why don't we use `imap` [in this loop](https://github.com/huggingface/datasets/blob/440b14d0dd428ae1b25881aa72ba7bbb8ad9ff84/src/datasets/io/json.py#L99)? This way, using offset (which is being used to slice the pyarrow table) we can convert pyarrow ... | 1,626,464,510,000 | 1,631,541,397,000 | 1,631,541,397,000 | CONTRIBUTOR | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2658 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2658/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2658/comments | https://api.github.com/repos/huggingface/datasets/issues/2658/events | https://github.com/huggingface/datasets/issues/2658 | 946,139,532 | MDU6SXNzdWU5NDYxMzk1MzI= | 2,658 | Can't pass `sep=None` to load_dataset("csv", ...) to infer the separator via pandas.read_csv | {
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Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | {
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https://api.github.com/repos/huggingface/datasets/issues/2657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2657/comments | https://api.github.com/repos/huggingface/datasets/issues/2657/events | https://github.com/huggingface/datasets/issues/2657 | 945,822,829 | MDU6SXNzdWU5NDU4MjI4Mjk= | 2,657 | `to_json` reporting enhancements | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2655 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2655/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2655/comments | https://api.github.com/repos/huggingface/datasets/issues/2655/events | https://github.com/huggingface/datasets/issues/2655 | 945,382,723 | MDU6SXNzdWU5NDUzODI3MjM= | 2,655 | Allow the selection of multiple columns at once | {
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"Hi! I was looking into this and hope you can clarify a point. Your my_dataset variable would be of type DatasetDict which means the alternative you've described (dict comprehension) is what makes sense. \r\nIs there a reason why you wouldn't want to convert my_dataset to a pandas df if you'd like to use it like on... | 1,626,355,845,000 | 1,627,054,857,000 | null | CONTRIBUTOR | null | **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']]
```
**... | {
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https://api.github.com/repos/huggingface/datasets/issues/2654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2654/comments | https://api.github.com/repos/huggingface/datasets/issues/2654/events | https://github.com/huggingface/datasets/issues/2654 | 945,167,231 | MDU6SXNzdWU5NDUxNjcyMzE= | 2,654 | Give a user feedback if the dataset he loads is streamable or not | {
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"#self-assign",
"I understand it already raises a `NotImplementedError` exception, eg:\r\n\r\n```\r\n>>> dataset = load_dataset(\"journalists_questions\", name=\"plain_text\", split=\"train\", streaming=True)\r\n\r\n[...]\r\nNotImplementedError: Extraction protocol for file at https://drive.google.com/uc?export=d... | 1,626,340,047,000 | 1,627,902,201,000 | null | MEMBER | null | **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.... | {
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"Note that this subset requires us to:\r\n\r\n* generate the LibriMix corpus from LibriSpeech\r\n* prepare the corpus for diarization\r\n\r\nAs suggested by @lhoestq we should perform these steps locally and add the prepared data to this public repo on the Hub: https://huggingface.co/datasets/superb/superb-data\r\n... | 1,626,335,500,000 | 1,628,096,632,000 | 1,628,096,632,000 | MEMBER | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2651/comments | https://api.github.com/repos/huggingface/datasets/issues/2651/events | https://github.com/huggingface/datasets/issues/2651 | 944,796,961 | MDU6SXNzdWU5NDQ3OTY5NjE= | 2,651 | Setting log level higher than warning does not suppress progress bar | {
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"Hi,\r\n\r\nyou can suppress progress bars by patching logging as follows:\r\n```python\r\nimport datasets\r\nimport logging\r\ndatasets.logging.get_verbosity = lambda: logging.NOTSET\r\n# map call ...\r\n```",
"Thank you, it worked :)",
"See https://github.com/huggingface/datasets/issues/2528 for reference",
... | 1,626,296,811,000 | 1,639,533,564,000 | 1,626,320,495,000 | NONE | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2650/comments | https://api.github.com/repos/huggingface/datasets/issues/2650/events | https://github.com/huggingface/datasets/issues/2650 | 944,672,565 | MDU6SXNzdWU5NDQ2NzI1NjU= | 2,650 | [load_dataset] shard and parallelize the process | {
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"I need the same feature for distributed training"
] | 1,626,285,898,000 | 1,635,177,238,000 | null | CONTRIBUTOR | null | - 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2649/comments | https://api.github.com/repos/huggingface/datasets/issues/2649/events | https://github.com/huggingface/datasets/issues/2649 | 944,651,229 | MDU6SXNzdWU5NDQ2NTEyMjk= | 2,649 | adding progress bar / ETA for `load_dataset` | {
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```
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... | {
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