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https://api.github.com/repos/huggingface/datasets/issues/6700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6700/comments | https://api.github.com/repos/huggingface/datasets/issues/6700/events | https://github.com/huggingface/datasets/issues/6700 | 2,158,871,038 | I_kwDODunzps6ArcH- | 6,700 | remove_columns is not in-place but the doc shows it is in-place | {
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"Good catch! I've opened a PR with a fix in the `transformers` repo.",
"@mariosasko Thanks!\r\n\r\nWill the doc of `datasets` be updated?\r\n\r\nI find some possible mistakes in doc about whether `remove_columns` is in-place.\r\n1. [You can also remove a column using map() with remove_columns but the present meth... | 2024-02-28T12:36:22Z | 2024-04-02T17:15:28Z | 2024-04-02T17:15:28Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
The doc of `datasets` v2.17.0/v2.17.1 shows that `remove_columns` is in-place. [link](https://huggingface.co/docs/datasets/v2.17.1/en/package_reference/main_classes#datasets.DatasetDict.remove_columns)
In the text classification example of transformers v4.38.1, the columns are not removed.
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https://api.github.com/repos/huggingface/datasets/issues/6008 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6008/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6008/comments | https://api.github.com/repos/huggingface/datasets/issues/6008/events | https://github.com/huggingface/datasets/issues/6008 | 1,789,869,344 | I_kwDODunzps5qrz0g | 6,008 | Dataset.from_generator consistently freezes at ~1000 rows | {
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"By default, we write data to disk (so it can be memory-mapped) every 1000 rows/samples. You can control this with the `writer_batch_size` parameter. Also, when working with fixed-size arrays, the `ArrayXD` feature types yield better performance (e.g., in your case, `features=datasets.Features({\"i\": datasets.Arra... | 2023-07-05T16:06:48Z | 2023-07-10T13:46:39Z | 2023-07-10T13:46:39Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Whenever I try to create a dataset which contains images using `Dataset.from_generator`, it freezes around 996 rows. I suppose it has something to do with memory consumption, but there's more memory available. I
Somehow it worked a few times but mostly this makes the datasets library much more ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1859 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1859/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1859/comments | https://api.github.com/repos/huggingface/datasets/issues/1859/events | https://github.com/huggingface/datasets/issues/1859 | 805,479,025 | MDU6SXNzdWU4MDU0NzkwMjU= | 1,859 | Error "in void don't know how to serialize this type of index" when saving index to disk when device=0 (GPU) | {
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"Hi @corticalstack ! Thanks for reporting. Indeed in the recent versions of Faiss we must use `getDevice` to check if the index in on GPU.\r\n\r\nI'm opening a PR",
"I fixed this issue. It should work fine now.\r\nFeel free to try it out by installing `datasets` from source.\r\nOtherwise you can wait for the next... | 2021-02-10T12:41:00Z | 2021-02-10T18:32:12Z | 2021-02-10T18:17:47Z | null | NONE | [] | null | null | {
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} | Error serializing faiss index. Error as follows:
`Error in void faiss::write_index(const faiss::Index*, faiss::IOWriter*) at /home/conda/feedstock_root/build_artifacts/faiss-split_1612472484670/work/faiss/impl/index_write.cpp:453: don't know how to serialize this type of index`
Note:
`torch.cuda.is_availabl... | {
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https://api.github.com/repos/huggingface/datasets/issues/6118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6118/comments | https://api.github.com/repos/huggingface/datasets/issues/6118/events | https://github.com/huggingface/datasets/issues/6118 | 1,835,940,417 | I_kwDODunzps5tbjpB | 6,118 | IterableDataset.from_generator() fails with pickle error when provided a generator or iterator | {
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"Hi! `IterableDataset.from_generator` expects a generator function, not the object (to be consistent with `Dataset.from_generator`).\r\n\r\nYou can fix the above snippet as follows:\r\n```python\r\ntrain_dataset = IterableDataset.from_generator(line_generator, fn_kwargs={\"files\": model_training_files})\r\n```",
... | 2023-08-04T01:45:04Z | 2025-11-18T16:07:04Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
**Description**
Providing a generator in an instantiation of IterableDataset.from_generator() fails with `TypeError: cannot pickle 'generator' object` when the generator argument is supplied with a generator.
**Code example**
```
def line_generator(files: List[Path]):
if isinstance(f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/488/comments | https://api.github.com/repos/huggingface/datasets/issues/488/events | https://github.com/huggingface/datasets/issues/488 | 676,299,993 | MDU6SXNzdWU2NzYyOTk5OTM= | 488 | issues with downloading datasets for wmt16 and wmt19 | {
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"I found `UNv1.0.en-ru.tar.gz` here: https://conferences.unite.un.org/uncorpus/en/downloadoverview, so it can be reconstructed with:\r\n```\r\nwget -c https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-ru.tar.gz.00\r\nwget -c https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-ru.tar.... | 2020-08-10T17:32:51Z | 2022-10-04T17:46:59Z | 2022-10-04T17:46:58Z | null | CONTRIBUTOR | [] | null | null | {
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```
import nlp
dataset = nlp.load_dataset('wmt16', 'ru-en')
metric = nlp.load_metric('wmt16')
```
1. I had to do `pip install -e ".[dev]" ` on master, currently released nlp didn't work (sorry, didn't save the error) - I went back to the released version and no... | {
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https://api.github.com/repos/huggingface/datasets/issues/5089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5089/comments | https://api.github.com/repos/huggingface/datasets/issues/5089/events | https://github.com/huggingface/datasets/issues/5089 | 1,400,788,486 | I_kwDODunzps5TflYG | 5,089 | Resume failed process | {
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] | open | false | [] | null | [] | 2022-10-07T08:07:03Z | 2022-10-07T08:07:03Z | null | null | NONE | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
When a process (`map`, `filter`, etc.) crashes part-way through, you lose all progress.
**Describe the solution you'd like**
It would be good if the cache reflected the partial progress, so that after we restart the script, the process can restart ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/883 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/883/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/883/comments | https://api.github.com/repos/huggingface/datasets/issues/883/events | https://github.com/huggingface/datasets/issues/883 | 749,750,801 | MDU6SXNzdWU3NDk3NTA4MDE= | 883 | Downloading/caching only a part of a datasets' dataset. | {
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"Not at the moment but we could likely support this feature.",
"?",
"I think it would be a very helpful feature, because sometimes one only wants to evaluate models on the dev set, and the whole training data may be many times bigger.\r\nThis makes the task impossible with limited memory resources."
] | 2020-11-24T14:25:18Z | 2020-11-27T13:51:55Z | null | null | NONE | [] | null | null | {
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} | Hi,
I want to use the validation data *only* (of natural question).
I don't want to have the whole dataset cached in my machine, just the dev set.
Is this possible? I can't find a way to do it in the docs.
Thank you,
Sapir | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4944 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4944/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4944/comments | https://api.github.com/repos/huggingface/datasets/issues/4944/events | https://github.com/huggingface/datasets/issues/4944 | 1,364,313,569 | I_kwDODunzps5RUcXh | 4,944 | larger dataset, larger GPU memory in the training phase? Is that correct? | {
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"does the trainer save it in GPU? sooo curious... how to fix it",
"It's my bad. didn't limit the input length"
] | 2022-09-07T08:46:30Z | 2022-09-07T12:34:58Z | 2022-09-07T12:34:58Z | null | NONE | [] | null | null | {
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set_caching_enabled(False)
for ds_name in ["squad","newsqa","nqopen","narrativeqa"]:
train_ds = load_from_disk("../../../dall/downstream/processedproqa/{}-train.hf".format(ds_name))
break
train_ds = concatenate_datasets([train_ds,train_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6618/comments | https://api.github.com/repos/huggingface/datasets/issues/6618/events | https://github.com/huggingface/datasets/issues/6618 | 2,101,868,198 | I_kwDODunzps59R_am | 6,618 | While importing load_dataset from datasets | {
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"Hi! Can you please share the error's stack trace so we can see where it comes from?",
"We cannot reproduce the issue and we do not have enough information: environment info (need to run `datasets-cli env`), stack trace,...\r\n\r\nI am closing the issue. Feel free to reopen it (with additional information) if the... | 2024-01-26T09:21:57Z | 2024-07-23T09:31:07Z | 2024-02-06T09:25:54Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_' this is the error i received
### Steps to reproduce the bug
from datasets import load_dataset
### Expected behavior
No errors
### Environment info
python 3.11.5 | {
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https://api.github.com/repos/huggingface/datasets/issues/4636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4636/comments | https://api.github.com/repos/huggingface/datasets/issues/4636/events | https://github.com/huggingface/datasets/issues/4636 | 1,294,547,836 | I_kwDODunzps5NKTt8 | 4,636 | Add info in docs about behavior of download_config.num_proc | {
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} | **Is your feature request related to a problem? Please describe.**
I went to override `download_config.num_proc` and was confused about what was happening under the hood. It would be nice to have the behavior documented a bit better so folks know what's happening when they use it.
**Describe the solution you'd li... | {
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https://api.github.com/repos/huggingface/datasets/issues/5543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5543/comments | https://api.github.com/repos/huggingface/datasets/issues/5543/events | https://github.com/huggingface/datasets/issues/5543 | 1,588,951,379 | I_kwDODunzps5etXlT | 5,543 | the pile datasets url seems to change back | {
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"Thanks for reporting, @wjfwzzc.\r\n\r\nI am transferring this issue to the corresponding dataset on the Hub: https://huggingface.co/datasets/bookcorpusopen/discussions/1",
"Thank you. All fixes are done:\r\n- [x] https://huggingface.co/datasets/bookcorpusopen/discussions/2\r\n- [x] https://huggingface.co/dataset... | 2023-02-17T08:40:11Z | 2023-02-21T06:37:00Z | 2023-02-20T08:41:33Z | {
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} | {
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} | ### Describe the bug
in #3627, the host url of the pile dataset became `https://mystic.the-eye.eu`. Now the new url is broken, but `https://the-eye.eu` seems to work again.
### Steps to reproduce the bug
```python3
from datasets import load_dataset
dataset = load_dataset("bookcorpusopen")
```
shows
```python3
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https://api.github.com/repos/huggingface/datasets/issues/7727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7727/comments | https://api.github.com/repos/huggingface/datasets/issues/7727/events | https://github.com/huggingface/datasets/issues/7727 | 3,295,718,578 | I_kwDODunzps7EcKyy | 7,727 | config paths that start with ./ are not valid as hf:// accessed repos, but are valid when accessed locally | {
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} | ### Describe the bug
```
- config_name: some_config
data_files:
- split: train
path:
- images/xyz/*.jpg
```
will correctly download but
```
- config_name: some_config
data_files:
- split: train
path:
- ./images/xyz/*.jpg
```
will error with `FileNotFoundError` due to improper url joining. `loa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4915 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4915/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4915/comments | https://api.github.com/repos/huggingface/datasets/issues/4915/events | https://github.com/huggingface/datasets/issues/4915 | 1,356,009,042 | I_kwDODunzps5Q0w5S | 4,915 | FileNotFoundError while downloading wikipedia dataset for any language | {
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"Hi @Shilpac20,\r\n\r\nAs explained in the Wikipedia dataset card: https://huggingface.co/datasets/wikipedia\r\n> You can find the full list of languages and dates [here](https://dumps.wikimedia.org/backup-index.html).\r\n\r\nThis means that, before passing a specific date, you should first make sure it is availabl... | 2022-08-30T16:15:46Z | 2022-12-04T22:20:33Z | null | {
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} | ## Describe the bug
Hi, I am currently trying to download wikipedia dataset using
load_dataset("wikipedia", language="aa", date="20220401", split="train",beam_runner='DirectRunner'). However, I end up in getting filenotfound error. I get this error for any language I try to download.
Environment:
## Step... | {
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https://api.github.com/repos/huggingface/datasets/issues/3063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3063/comments | https://api.github.com/repos/huggingface/datasets/issues/3063/events | https://github.com/huggingface/datasets/issues/3063 | 1,023,588,297 | I_kwDODunzps49ArfJ | 3,063 | Windows CI is unable to test streaming properly because of SSL issues | {
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"I think this problem is already fixed:\r\n```python\r\nIn [4]: import fsspec\r\n ...:\r\n ...: url = \"https://moon-staging.huggingface.co/datasets/__DUMMY_TRANSFORMERS_USER__/my-dataset-16242824690709/resolve/main/.gitattributes\"\r\n ...:\r\n ...: fsspec.open(url).open()\r\nOut[4]: <File-like object HTTP... | 2021-10-12T09:33:40Z | 2022-08-24T14:59:29Z | 2022-08-24T14:59:29Z | null | MEMBER | [] | null | null | {
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} | In https://github.com/huggingface/datasets/pull/3041 the windows tests were skipped because of SSL issues with moon-staging.huggingface.co:443
The issue appears only on windows with asyncio. On Linux it works. With requests it works as well. And with the production environment huggingface.co it also works.
to rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/2120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2120/comments | https://api.github.com/repos/huggingface/datasets/issues/2120/events | https://github.com/huggingface/datasets/issues/2120 | 841,954,521 | MDU6SXNzdWU4NDE5NTQ1MjE= | 2,120 | dataset viewer does not work anymore | {
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] | closed | false | [] | null | [
"Thanks for reporting :) We're looking into it",
"Back up. "
] | 2021-03-26T13:22:13Z | 2021-03-26T15:52:22Z | 2021-03-26T15:52:22Z | null | NONE | [] | null | null | {
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} | Hi
I normally use this link to see all datasets and how I can load them
https://huggingface.co/datasets/viewer/
Now I am getting
502 Bad Gateway
nginx/1.18.0 (Ubuntu)
could you bring this webpage back ? this was very helpful @lhoestq
thanks for your help | {
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https://api.github.com/repos/huggingface/datasets/issues/8167 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8167/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8167/comments | https://api.github.com/repos/huggingface/datasets/issues/8167/events | https://github.com/huggingface/datasets/issues/8167 | 4,356,674,999 | I_kwDODunzps8AAAABA62Vtw | 8,167 | [BUG] Abnormal progress bar in dataset.map when load_from_cache_file=False | {
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"https://github.com/huggingface/datasets/blob/4e3bf52ff436d841e61211dfa096b5c47197ae36/src/datasets/arrow_dataset.py#L3593-L3598",
"Hi, can you provide more details on the issue ?",
"<img width=\"340\" height=\"26\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/0dca6f47-4a8d-4871-a908-f58df856e... | 2026-04-30T08:47:53Z | 2026-05-05T10:52:23Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
datasets 4.8.5
```python
from datasets import load_dataset, load_from_disk
data = load_from_disk('pretrain_cached_dataset/train')
def dummy_map(example):
return example
dataset = data.map(dummy_map)
dataset = data.map(dummy_map, load_from_cache_file=True) ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/275/comments | https://api.github.com/repos/huggingface/datasets/issues/275/events | https://github.com/huggingface/datasets/issues/275 | 639,439,052 | MDU6SXNzdWU2Mzk0MzkwNTI= | 275 | NonMatchingChecksumError when loading pubmed dataset | {
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"For some reason the files are not available for unauthenticated users right now (like the download service of this package). Instead of downloading the right files, it downloads the html of the error.\r\nAccording to the error it should be back again in 24h.\r\n\r\n`.
The error is:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-2-7742dea167d0> in <module... | {
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https://api.github.com/repos/huggingface/datasets/issues/5730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5730/comments | https://api.github.com/repos/huggingface/datasets/issues/5730/events | https://github.com/huggingface/datasets/issues/5730 | 1,662,007,926 | I_kwDODunzps5jEDp2 | 5,730 | CI is broken: ValueError: Name (mock) already in the registry and clobber is False | {
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See: https://github.com/huggingface/datasets/actions/runs/4665326892/jobs/8258580948
```
=========================== short test summary info ============================
ERROR tests/test_builder.py::test_builder_with_filesystem_download_and_prepare - ValueError: Name (mock) already ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7211/comments | https://api.github.com/repos/huggingface/datasets/issues/7211/events | https://github.com/huggingface/datasets/issues/7211 | 2,576,400,502 | I_kwDODunzps6ZkMB2 | 7,211 | Describe only selected fields in README | {
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} | ### Feature request
Hi Datasets team!
Is it possible to add the ability to describe only selected fields of the dataset files in `README.md`? For example, I have this open dataset ([open-llm-leaderboard/results](https://huggingface.co/datasets/open-llm-leaderboard/results?row=0)) and I want to describe only some f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4774 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4774/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4774/comments | https://api.github.com/repos/huggingface/datasets/issues/4774/events | https://github.com/huggingface/datasets/issues/4774 | 1,323,375,844 | I_kwDODunzps5O4Rzk | 4,774 | Training hangs at the end of epoch, with set_transform/with_transform+multiple workers | {
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I use load_dataset() (I tried with [wiki](https://huggingface.co/datasets/wikipedia) and my own json data) and use set_transform/with_transform for preprocessing. But it hangs at the end of the 1st epoch if dataloader_num_workers>=1. No problem with single worker.
## Steps to reproduce the bu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5298 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5298/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5298/comments | https://api.github.com/repos/huggingface/datasets/issues/5298/events | https://github.com/huggingface/datasets/issues/5298 | 1,464,681,871 | I_kwDODunzps5XTUWP | 5,298 | Bug in xopen with Windows pathnames | {
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From its implementation:
```python
def xopen(file: str, mode="r", *args, **kwargs):
file = _as_posix(PurePath(file))
main_hop, *rest_hops = file.split("::")
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https://api.github.com/repos/huggingface/datasets/issues/545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/545/comments | https://api.github.com/repos/huggingface/datasets/issues/545/events | https://github.com/huggingface/datasets/issues/545 | 689,138,878 | MDU6SXNzdWU2ODkxMzg4Nzg= | 545 | New release coming up for this library | {
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"Update: release is planed mid-next week."
] | 2020-08-31T11:37:38Z | 2021-01-13T10:59:04Z | 2021-01-13T10:59:04Z | null | MEMBER | [] | null | null | {
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A few words on the roadmap for this library.
The next release will be a big one and is planed at the end of this week.
In addition to the support for indexed datasets (useful for non-parametric models like REALM, RAG, DPR, knn-LM and many other fast dataset retrieval technics), it will:
- have support f... | {
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https://api.github.com/repos/huggingface/datasets/issues/3977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3977/comments | https://api.github.com/repos/huggingface/datasets/issues/3977/events | https://github.com/huggingface/datasets/issues/3977 | 1,175,049,927 | I_kwDODunzps5GCdbH | 3,977 | Adapt `docs/README.md` for datasets | {
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"Thanks for reporting @qqaatw.\r\n\r\nYes, we should definitely adapt that file for `datasets`. "
] | 2022-03-21T08:26:49Z | 2023-02-27T10:32:37Z | 2023-02-27T10:32:37Z | null | CONTRIBUTOR | [] | null | null | {
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Currently `docs/README.md` is a direct copy from `transformers`, we should probably adapt this file for `datasets`. | {
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https://api.github.com/repos/huggingface/datasets/issues/5387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5387/comments | https://api.github.com/repos/huggingface/datasets/issues/5387/events | https://github.com/huggingface/datasets/issues/5387 | 1,508,740,177 | I_kwDODunzps5Z7YxR | 5,387 | Missing documentation page : improve-performance | {
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"Hi! Our documentation builder does not support links to sections, hence the bug. This is the link it should point to https://huggingface.co/docs/datasets/v2.8.0/en/cache#improve-performance."
] | 2022-12-23T01:12:57Z | 2023-01-24T16:33:40Z | 2023-01-24T16:33:40Z | null | NONE | [] | null | null | {
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Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load_dataset.keep_in_memory
### Steps to reproduce t... | {
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https://api.github.com/repos/huggingface/datasets/issues/2239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2239/comments | https://api.github.com/repos/huggingface/datasets/issues/2239/events | https://github.com/huggingface/datasets/issues/2239 | 861,904,306 | MDU6SXNzdWU4NjE5MDQzMDY= | 2,239 | Error loading wikihow dataset | {
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"Hi @odellus, thanks for reporting.\r\n\r\nThe `wikihow` dataset has 2 versions:\r\n- `all`: Consisting of the concatenation of all paragraphs as the articles and the bold lines as the reference summaries.\r\n- `sep`: Consisting of each paragraph and its summary.\r\n\r\nTherefore, in order to load it, you have to s... | 2021-04-19T21:02:31Z | 2021-04-20T16:33:11Z | 2021-04-20T16:33:11Z | null | CONTRIBUTOR | [] | null | null | {
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When attempting to load wikihow into a dataset with
```python
from datasets import load_dataset
dataset = load_dataset('wikihow', data_dir='./wikihow')
```
I get the message:
```
AttributeError: 'BuilderConfig' object has no attribute 'filename'
```
at the end of a [full stack trace](htt... | {
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https://api.github.com/repos/huggingface/datasets/issues/5292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5292/comments | https://api.github.com/repos/huggingface/datasets/issues/5292/events | https://github.com/huggingface/datasets/issues/5292 | 1,463,053,832 | I_kwDODunzps5XNG4I | 5,292 | Missing documentation build for versions 2.7.1 and 2.6.2 | {
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"- Build docs for 2.6.2:\r\n - Commit: a6a5a1cf4cdf1e0be65168aed5a327f543001fe8\r\n - Build docs GH Action: https://github.com/huggingface/datasets/actions/runs/3539470622/jobs/5941404044\r\n- Build docs for 2.7.1:\r\n - Commit: 5ef1ab1cc06c2b7a574bf2df454cd9fcb071ccb2\r\n - Build docs GH Action: https://github... | 2022-11-24T09:42:10Z | 2022-11-24T10:10:02Z | 2022-11-24T10:10:02Z | {
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There was a fix by:
- #5291
However, both documentati... | {
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https://api.github.com/repos/huggingface/datasets/issues/4976 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4976/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4976/comments | https://api.github.com/repos/huggingface/datasets/issues/4976/events | https://github.com/huggingface/datasets/issues/4976 | 1,372,322,382 | I_kwDODunzps5Ry_pO | 4,976 | Hope to adapt Python3.9 as soon as possible | {
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"Hi! `datasets` should work in Python 3.9. What kind of issue have you encountered?",
"There is this related issue already: https://github.com/huggingface/datasets/issues/4113\r\nAnd I guess we need a CI job for 3.9 ^^",
"Perhaps we should report this issue in the `filelock` repo?"
] | 2022-09-14T04:42:22Z | 2022-09-26T16:32:35Z | null | null | NONE | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear and concise description of any alternat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/254/comments | https://api.github.com/repos/huggingface/datasets/issues/254/events | https://github.com/huggingface/datasets/issues/254 | 635,057,568 | MDU6SXNzdWU2MzUwNTc1Njg= | 254 | [Feature request] Be able to remove a specific sample of the dataset | {
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"Oh yes you can now do that with the `dataset.filter()` method that was added in #214 "
] | 2020-06-09T02:22:13Z | 2020-06-09T08:41:38Z | 2020-06-09T08:41:38Z | null | NONE | [] | null | null | {
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But it is a important use case : After applying some preprocessing, some samples might be empty for example. We should be able to remove these samples from the dataset, or at least mark them as `removed` so when iterating the datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/2625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2625/comments | https://api.github.com/repos/huggingface/datasets/issues/2625/events | https://github.com/huggingface/datasets/issues/2625 | 941,439,922 | MDU6SXNzdWU5NDE0Mzk5MjI= | 2,625 | ⚛️😇⚙️🔑 | {
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https://api.github.com/repos/huggingface/datasets/issues/5216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5216/comments | https://api.github.com/repos/huggingface/datasets/issues/5216/events | https://github.com/huggingface/datasets/issues/5216 | 1,441,041,947 | I_kwDODunzps5V5I4b | 5,216 | save_elasticsearch_index | {
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"Hi ! I think there exist tools to dump and reload an index in your elastic search but I'm not super familiar with it.\r\n\r\nAnyway after reloading an index in elastic search you can call `ds.load_elasticsearch_index` which will connect the index to the dataset without re-indexing"
] | 2022-11-08T23:06:52Z | 2022-11-09T13:16:45Z | null | null | NONE | [] | null | null | {
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I am new to Dataset and elasticsearch. I was wondering is there any equivalent approach to save elasticsearch index as of save_faiss_index locally for later use, to remove the need to re-index a dataset? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7946 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7946/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7946/comments | https://api.github.com/repos/huggingface/datasets/issues/7946/events | https://github.com/huggingface/datasets/issues/7946 | 3,817,678,454 | I_kwDODunzps7jjSZ2 | 7,946 | Question: Is there a faster way to push_to_hub for large image datasets? | {
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"This is a really interesting approach, especially combining parallel parquet\nconversion with upload_large_folder and hf_xet.\n\nOne question / observation:\nThe shard calculation currently uses max_shard_size_mb as a proxy for\nsamples_per_shard. Since sample size can vary a lot across datasets,\nwould it make se... | 2026-01-15T13:54:37Z | 2026-01-17T13:27:20Z | null | null | NONE | [] | null | null | {
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} | # Question: Is there a faster way to `push_to_hub` for large image datasets? Or could this approach be integrated?
Hi! I frequently work with large image datasets (100k-300k+ samples) and found that `dataset.push_to_hub()` can be quite slow.
cc @lhoestq - would love your thoughts on this!
I experimented with an alte... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5274 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5274/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5274/comments | https://api.github.com/repos/huggingface/datasets/issues/5274/events | https://github.com/huggingface/datasets/issues/5274 | 1,458,646,455 | I_kwDODunzps5W8S23 | 5,274 | load_dataset possibly broken for gated datasets? | {
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"@BradleyHsu",
"Btw, thanks very much for finding the hub rollback temporary fix and bringing the issue to our attention @KhoomeiK!",
"I see the same issue when calling `load_dataset('poloclub/diffusiondb', 'large_random_1k')` with `datasets==2.7.1` and `huggingface-hub=0.11.0`. No issue with `datasets=2.6.1` a... | 2022-11-21T21:59:53Z | 2023-05-27T00:06:14Z | 2022-11-28T02:50:42Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/116/comments | https://api.github.com/repos/huggingface/datasets/issues/116/events | https://github.com/huggingface/datasets/issues/116 | 618,628,264 | MDU6SXNzdWU2MTg2MjgyNjQ= | 116 | 🐛 Trying to use ROUGE metric : pyarrow.lib.ArrowInvalid: Column 1 named references expected length 534 but got length 323 | {
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"color": "25b21e",
"default": false,
"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
"node_id": "MDU6TGFiZWwyMDY3MzkzOTE0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/metric%20bug"
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"Can you share your data files or a minimally reproducible example?",
"Sure, [here is a Colab notebook](https://colab.research.google.com/drive/1uiS89fnHMG7HV_cYxp3r-_LqJQvNNKs9?usp=sharing) reproducing the error.\r\n\r\n> ArrowInvalid: Column 1 named references expected length 36 but got length 56",
"This is b... | 2020-05-15T01:12:06Z | 2020-05-28T23:43:07Z | 2020-05-28T23:43:07Z | null | NONE | [] | null | null | {
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} | I'm trying to use rouge metric.
I have to files : `test.pred.tokenized` and `test.gold.tokenized` with each line containing a sentence.
I tried :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("test.pred.tokenized") as p, open("test.gold.tokenized") as g:
for lp, lg in zip(p, g):
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6833 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6833/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6833/comments | https://api.github.com/repos/huggingface/datasets/issues/6833/events | https://github.com/huggingface/datasets/issues/6833 | 2,259,731,274 | I_kwDODunzps6GsMNK | 6,833 | Super slow iteration with trivial custom transform | {
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"Similar issue in text process \r\n\r\n```python\r\n\r\ntokenizer=AutoTokenizer.from_pretrained(model_dir[args.model])\r\ntrain_dataset=datasets.load_from_disk(dataset_dir[args.dataset],keep_in_memory=True)['train']\r\ntrain_dataset=train_dataset.map(partial(dname2func[args.dataset],tokenizer=tokenizer),batched=Tru... | 2024-04-23T20:40:59Z | 2024-10-08T15:41:18Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Dataset is 10X slower when applying trivial transforms:
```
import time
import numpy as np
from datasets import Dataset, Features, Array2D
a = np.zeros((800, 800))
a = np.stack([a] * 1000)
features = Features({"a": Array2D(shape=(800, 800), dtype="uint8")})
ds1 = Dataset.from_dict({"... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3877/comments | https://api.github.com/repos/huggingface/datasets/issues/3877/events | https://github.com/huggingface/datasets/issues/3877 | 1,164,146,311 | I_kwDODunzps5FY3aH | 3,877 | Align metadata to DCAT/DCAT-AP | {
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} | **Is your feature request related to a problem? Please describe.**
Align to DCAT metadata to describe datasets
**Describe the solution you'd like**
Reuse terms and structure from DCAT in the metadata file, ideally generate a json-ld file dcat compliant
**Describe alternatives you've considered**
**Addition... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7101/comments | https://api.github.com/repos/huggingface/datasets/issues/7101/events | https://github.com/huggingface/datasets/issues/7101 | 2,466,510,783 | I_kwDODunzps6TA_e_ | 7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | {
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"Having looked into this further it seems the core of the issue is with two different formats in the same repo.\r\n\r\nWhen the `parquet` config is first, the `WebDataset`s are loaded as `parquet`, if the `WebDataset` configs are first, the `parquet` is loaded as `WebDataset`.\r\n\r\nA workaround in my case would b... | 2024-08-14T18:12:25Z | 2024-08-18T10:33:38Z | null | null | NONE | [] | null | null | {
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} | Following [documentation](https://huggingface.co/docs/datasets/repository_structure#define-your-splits-and-subsets-in-yaml) I had defined different configs for [`Dataception`](https://huggingface.co/datasets/bigdata-pw/Dataception), a dataset of datasets:
```yaml
configs:
- config_name: dataception
data_files:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1973 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1973/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1973/comments | https://api.github.com/repos/huggingface/datasets/issues/1973/events | https://github.com/huggingface/datasets/issues/1973 | 820,077,312 | MDU6SXNzdWU4MjAwNzczMTI= | 1,973 | Question: what gets stored in the datasets cache and why is it so huge? | {
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"Echo'ing this observation: I have a few datasets in the neighborhood of 2GB CSVs uncompressed, and when I use something like `Dataset.save_to_disk()` it's ~18GB on disk.\r\n\r\nIf this is unexpected behavior, would be happy to help run debugging as needed.",
"Thanks @ioana-blue for pointing out this problem (and... | 2021-03-02T14:35:53Z | 2021-03-30T14:03:59Z | 2021-03-16T09:44:00Z | {
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} | I'm running several training jobs (around 10) with a relatively large dataset (3M samples). The datasets cache reached 178G and it seems really large. What is it stored in there and why is it so large? I don't think I noticed this problem before and seems to be related to the new version of the datasets library. Any in... | {
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https://api.github.com/repos/huggingface/datasets/issues/7163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7163/comments | https://api.github.com/repos/huggingface/datasets/issues/7163/events | https://github.com/huggingface/datasets/issues/7163 | 2,542,361,234 | I_kwDODunzps6XiVqS | 7,163 | Set explicit seed in iterable dataset ddp shuffling example | {
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"thanks for reporting !"
] | 2024-09-23T11:34:06Z | 2024-09-24T14:40:15Z | 2024-09-24T14:40:15Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
In the examples section of the iterable dataset docs https://huggingface.co/docs/datasets/en/package_reference/main_classes#datasets.IterableDataset
the ddp example shuffles without seeding
```python
from datasets.distributed import split_dataset_by_node
ids = ds.to_iterable_dataset(num_sh... | {
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https://api.github.com/repos/huggingface/datasets/issues/7471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7471/comments | https://api.github.com/repos/huggingface/datasets/issues/7471/events | https://github.com/huggingface/datasets/issues/7471 | 2,937,530,069 | I_kwDODunzps6vFybV | 7,471 | Adding argument to `_get_data_files_patterns` | {
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"Hi ! The pattern can be specified in advance in YAML in the README.md of the dataset :)\n\nFor example\n\n```\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: \"train/*\"\n - split: test\n path: \"test/*\"\n---\n```\n\nSee the docs at https://huggingface.co/docs/hub/en/dataset... | 2025-03-21T07:17:53Z | 2025-03-27T12:30:52Z | 2025-03-26T07:26:27Z | null | NONE | [] | null | null | {
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} | ### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of images for the local files.
However, due to sear... | {
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https://api.github.com/repos/huggingface/datasets/issues/490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/490/comments | https://api.github.com/repos/huggingface/datasets/issues/490/events | https://github.com/huggingface/datasets/issues/490 | 676,482,242 | MDU6SXNzdWU2NzY0ODIyNDI= | 490 | Loading preprocessed Wikipedia dataset requires apache_beam | {
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} | Running
`nlp.load_dataset("wikipedia", "20200501.en", split="train", dir="/tmp/wikipedia")`
gives an error if apache_beam is not installed, stemming from
https://github.com/huggingface/nlp/blob/38eb2413de54ee804b0be81781bd65ac4a748ced/src/nlp/builder.py#L981-L988
This succeeded without the dependency in ve... | {
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https://api.github.com/repos/huggingface/datasets/issues/296 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/296/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/296/comments | https://api.github.com/repos/huggingface/datasets/issues/296/events | https://github.com/huggingface/datasets/issues/296 | 643,423,717 | MDU6SXNzdWU2NDM0MjM3MTc= | 296 | snli -1 labels | {
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"@jxmorris12 , we use `-1` to label examples for which `gold label` is missing (`gold label = -` in the original dataset). ",
"Thanks @mariamabarham! so the original dataset is missing some labels? That is weird. Is standard practice just to discard those examples training/eval?",
"Yes the original dataset is... | 2020-06-22T23:33:30Z | 2020-06-23T14:41:59Z | 2020-06-23T14:41:58Z | null | CONTRIBUTOR | [] | null | null | {
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} | I'm trying to train a model on the SNLI dataset. Why does it have so many -1 labels?
```
import nlp
from collections import Counter
data = nlp.load_dataset('snli')['train']
print(Counter(data['label']))
Counter({0: 183416, 2: 183187, 1: 182764, -1: 785})
```
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https://api.github.com/repos/huggingface/datasets/issues/3919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3919/comments | https://api.github.com/repos/huggingface/datasets/issues/3919/events | https://github.com/huggingface/datasets/issues/3919 | 1,169,497,210 | I_kwDODunzps5FtRx6 | 3,919 | AttributeError: 'DatasetDict' object has no attribute 'features' | {
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"You are likely trying to get the `features` from a `DatasetDict`, a dictionary containing `Datasets`. You probably first want to index into a particular split from your `DatasetDict` i.e. `dataset['train'].features`. \r\n\r\nFor example \r\n\r\n```python \r\nds = load_dataset('mnist')\r\nds.features\r\n```\r\nRetu... | 2022-03-15T10:46:59Z | 2022-03-17T04:16:14Z | 2022-03-17T04:16:14Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Receiving the error when trying to check for Dataset features
## Steps to reproduce the bug
from datasets import Dataset
dataset = Dataset.from_pandas(df[['id', 'words', 'bboxes', 'ner_tags', 'image_path']])
dataset.features
## Expected results
A clear and concise description of the exp... | {
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https://api.github.com/repos/huggingface/datasets/issues/7588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7588/comments | https://api.github.com/repos/huggingface/datasets/issues/7588/events | https://github.com/huggingface/datasets/issues/7588 | 3,094,012,025 | I_kwDODunzps64auB5 | 7,588 | ValueError: Invalid pattern: '**' can only be an entire path component [Colab] | {
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"Could you please run the following code snippet in your environment and share the exact output? This will help check for any compatibility issues within the env itself. \n\n```\nimport datasets\nimport huggingface_hub\nimport fsspec\n\nprint(\"datasets version:\", datasets.__version__)\nprint(\"huggingface_hub ver... | 2025-05-27T13:46:05Z | 2025-05-30T13:22:52Z | 2025-05-30T01:26:30Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have a dataset on HF [here](https://huggingface.co/datasets/kambale/luganda-english-parallel-corpus) that i've previously used to train a translation model [here](https://huggingface.co/kambale/pearl-11m-translate).
now i changed a few hyperparameters to increase number of tokens for the model,... | {
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https://api.github.com/repos/huggingface/datasets/issues/3018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3018/comments | https://api.github.com/repos/huggingface/datasets/issues/3018/events | https://github.com/huggingface/datasets/issues/3018 | 1,015,311,877 | I_kwDODunzps48hG4F | 3,018 | Support multiple zipped CSV data files | {
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"@lhoestq I would like to draw your attention to the proposed API by @lewtun, using `data_dir` to pass the ZIP URL.\r\n\r\nI'm not totally convinced with this... What do you think?\r\n\r\nMaybe we could discuss other approaches...\r\n\r\nOne brainstorming idea: what about using URL chaining with the hop operator in... | 2021-10-04T15:16:59Z | 2021-10-05T14:32:57Z | null | {
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} | As requested by @lewtun, support loading multiple zipped CSV data files.
```python
from datasets import load_dataset
url = "https://domain.org/filename.zip"
data_files = {"train": "train_filename.csv", "test": "test_filename.csv"}
dataset = load_dataset("csv", data_dir=url, data_files=data_files)
```
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https://api.github.com/repos/huggingface/datasets/issues/6392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6392/comments | https://api.github.com/repos/huggingface/datasets/issues/6392/events | https://github.com/huggingface/datasets/issues/6392 | 1,984,369,545 | I_kwDODunzps52RxOJ | 6,392 | `push_to_hub` is not robust to hub closing connection | {
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"Hi! We made some improvements to `push_to_hub` to make it more robust a couple of weeks ago but haven't published a release in the meantime, so it would help if you could install `datasets` from `main` (`pip install https://github.com/huggingface/datasets`) and let us know if this improved version of `push_to_hub`... | 2023-11-08T20:44:53Z | 2023-12-20T07:28:24Z | 2023-12-01T17:51:34Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/... | {
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https://api.github.com/repos/huggingface/datasets/issues/3337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3337/comments | https://api.github.com/repos/huggingface/datasets/issues/3337/events | https://github.com/huggingface/datasets/issues/3337 | 1,066,232,936 | I_kwDODunzps4_jWxo | 3,337 | Typing of Dataset.__getitem__ could be improved. | {
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"Hi ! Thanks for the suggestion, I didn't know about this decorator.\r\n\r\nIf you are interesting in contributing, feel free to open a pull request to add the overload methods for each typing combination :) To assign you to this issue, you can comment `#self-assign` in this thread.\r\n\r\n`Dataset.__getitem__` is ... | 2021-11-29T16:20:11Z | 2021-12-14T10:28:54Z | 2021-12-14T10:28:54Z | {
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} | ## Describe the bug
The newly added typing for Dataset.__getitem__ is Union[Dict, List]. This makes tools like mypy a bit awkward to use as we need to check the type manually. We could use type overloading to make this easier. [Documentation](https://docs.python.org/3/library/typing.html#typing.overload)
## Steps... | {
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https://api.github.com/repos/huggingface/datasets/issues/3399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3399/comments | https://api.github.com/repos/huggingface/datasets/issues/3399/events | https://github.com/huggingface/datasets/issues/3399 | 1,073,593,861 | I_kwDODunzps4__b4F | 3,399 | Add Wikisource dataset | {
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"See notebook by @geohci: https://public.paws.wmcloud.org/User:Isaac_(WMF)/HuggingFace%20Wikisource%20Processing.ipynb",
"See: https://huggingface.co/datasets/wikimedia/wikisource"
] | 2021-12-07T17:21:31Z | 2024-10-09T16:11:27Z | 2024-10-09T16:11:26Z | {
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- **Name:** *wikisource*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** Additional high quality textual d... | {
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https://api.github.com/repos/huggingface/datasets/issues/880 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/880/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/880/comments | https://api.github.com/repos/huggingface/datasets/issues/880/events | https://github.com/huggingface/datasets/issues/880 | 748,949,606 | MDU6SXNzdWU3NDg5NDk2MDY= | 880 | Add SQA | {
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"I’ll take this one to test the workflow for the sprint next week cc @yjernite @lhoestq ",
"@thomwolf here's a slightly adapted version of the code from the [official Tapas repository](https://github.com/google-research/tapas/blob/master/tapas/utils/interaction_utils.py) that is used to turn the `answer_coordinat... | 2020-11-23T16:31:55Z | 2020-12-23T13:58:24Z | 2020-12-23T13:58:23Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** SQA (Sequential Question Answering) by Microsoft.
- **Description:** The SQA dataset was created to explore the task of answering sequences of inter-related questions on HTML tables. It has 6,066 sequences with 17,553 questions in total.
- **Paper:** https://www.microsoft.com/en-us/r... | {
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https://api.github.com/repos/huggingface/datasets/issues/5930 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5930/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5930/comments | https://api.github.com/repos/huggingface/datasets/issues/5930/events | https://github.com/huggingface/datasets/issues/5930 | 1,745,184,395 | I_kwDODunzps5oBWaL | 5,930 | loading private custom dataset script - authentication error | {
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"This issue seems to have been resolved, so I'm closing it."
] | 2023-06-07T06:58:23Z | 2023-06-15T14:49:21Z | 2023-06-15T14:49:20Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Train model with my custom dataset stored in HuggingFace and loaded with the loading script requires authentication but I am not sure how ?
I am logged in in the terminal, in the browser. I receive this error:
/python3.8/site-packages/datasets/utils/file_utils.py", line 566, in get_from... | {
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https://api.github.com/repos/huggingface/datasets/issues/6568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6568/comments | https://api.github.com/repos/huggingface/datasets/issues/6568/events | https://github.com/huggingface/datasets/issues/6568 | 2,069,922,151 | I_kwDODunzps57YIFn | 6,568 | keep_in_memory=True does not seem to work | {
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"Seems like I just used the old code which did not have `keep_in_memory=True` argument, sorry.\r\n\r\nAlthough i encountered a different problem – at 97% my python process just hung for around 11 minutes with no logs (when running dataset.map without `keep_in_memory=True` over around 3 million of dataset samples)..... | 2024-01-08T08:03:58Z | 2024-01-13T04:53:04Z | null | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/347/comments | https://api.github.com/repos/huggingface/datasets/issues/347/events | https://github.com/huggingface/datasets/issues/347 | 652,106,567 | MDU6SXNzdWU2NTIxMDY1Njc= | 347 | 'cp950' codec error from load_dataset('xtreme', 'tydiqa') | {
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"This is probably a Windows issue, we need to specify the encoding when `load_dataset()` reads the original CSV file.\r\nTry to find the `open()` statement called by `load_dataset()` and add an `encoding='utf-8'` parameter.\r\nSee issues #242 and #307 ",
"It should be in `xtreme.py:L755`:\r\n```python\r\n ... | 2020-07-07T08:14:23Z | 2020-09-07T14:51:45Z | 2020-09-07T14:51:45Z | null | CONTRIBUTOR | [] | null | null | {
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I guess the error is related to python source encoding issue that my PC is trying to decode the source code with wrong encoding-decoding tools, perhaps :
https://www.python.org/dev/peps/pep-0263/
I gues... | {
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https://api.github.com/repos/huggingface/datasets/issues/7724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7724/comments | https://api.github.com/repos/huggingface/datasets/issues/7724/events | https://github.com/huggingface/datasets/issues/7724 | 3,292,315,241 | I_kwDODunzps7EPL5p | 7,724 | Can not stepinto load_dataset.py? | {
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https://api.github.com/repos/huggingface/datasets/issues/839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/839/comments | https://api.github.com/repos/huggingface/datasets/issues/839/events | https://github.com/huggingface/datasets/issues/839 | 740,355,270 | MDU6SXNzdWU3NDAzNTUyNzA= | 839 | XSum dataset missing spaces between sentences | {
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"Hi! Triaging older issues — I think this one can be closed as out-of-scope for the current `datasets` repo.\n\n- The script-based `xsum` loader is no longer hosted in this repo (script-based loaders were migrated out, see [`ADD_NEW_DATASET.md`](https://github.com/huggingface/datasets/blob/main/ADD_NEW_DATASET.md) ... | 2020-11-11T00:34:43Z | 2020-11-11T00:34:43Z | null | null | NONE | [] | null | null | {
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`The London trio are up for best UK act and best album, as well as getting two nominations in the best song category."We got told like ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6058/comments | https://api.github.com/repos/huggingface/datasets/issues/6058/events | https://github.com/huggingface/datasets/issues/6058 | 1,815,131,397 | I_kwDODunzps5sMLUF | 6,058 | laion-coco download error | {
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"This can also mean one of the files was not downloaded correctly.\r\n\r\nWe log an erroneous file's name before raising the reader's error, so this is how you can find the problematic file. Then, you should delete it and call `load_dataset` again.\r\n\r\n(I checked all the uploaded files, and they seem to be valid... | 2023-07-21T04:24:15Z | 2023-07-22T01:42:06Z | 2023-07-22T01:42:06Z | null | NONE | [] | null | null | {
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The full trace:
```
/home/bian/anaconda3/envs/sd/lib/python3.10/site-packages/datasets/load.py:1744: FutureWarning: 'ignore_verifications' was de
precated in favor of 'verification_mode' in version 2.9.1 and will be removed in 3.0.0.
You can remove this warning by passing 'verification_mode=no... | {
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https://api.github.com/repos/huggingface/datasets/issues/7128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7128/comments | https://api.github.com/repos/huggingface/datasets/issues/7128/events | https://github.com/huggingface/datasets/issues/7128 | 2,490,274,775 | I_kwDODunzps6UbpPX | 7,128 | Filter Large Dataset Entry by Entry | {
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"Hi ! you can do\r\n\r\n```python\r\nfiltered_dataset = dataset.filter(filter_function)\r\n```\r\n\r\non a subset:\r\n\r\n```python\r\nfiltered_subset = dataset.select(range(10_000)).filter(filter_function)\r\n```\r\n",
"Jumping on this as it seems relevant - when I use the `filter` method, it often results in an... | 2024-08-27T20:31:09Z | 2024-10-07T23:37:44Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4376/comments | https://api.github.com/repos/huggingface/datasets/issues/4376/events | https://github.com/huggingface/datasets/issues/4376 | 1,242,218,144 | I_kwDODunzps5KCr6g | 4,376 | irc_disentagle viewer error | {
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"DUPLICATED comment from https://github.com/huggingface/datasets/issues/3807:\r\n\r\nmy code:\r\n```\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"irc_disentangle\", download_mode=\"force_redownload\")\r\n```\r\nhowever, it produces the same error\r\n```\r\n[38](file:///Library/Frameworks/Pyt... | 2022-05-19T19:15:16Z | 2023-01-12T16:56:13Z | 2022-06-02T08:20:00Z | {
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} | the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code: 400
Exception: ValueError
Message: Cannot seek streaming HTTP file
```
it appears to give the same message for the "channel_two" data as well.
I get a Checksums error when usi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5431/comments | https://api.github.com/repos/huggingface/datasets/issues/5431/events | https://github.com/huggingface/datasets/issues/5431 | 1,535,862,621 | I_kwDODunzps5bi2dd | 5,431 | CI benchmarks are broken: Unknown arguments: runnerPath, path | {
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} | Our CI benchmarks are broken, raising `Unknown arguments` error: https://github.com/huggingface/datasets/actions/runs/3932397079/jobs/6724905161
```
Unknown arguments: runnerPath, path
```
Stack trace:
```
100%|██████████| 500/500 [00:01<00:00, 338.98ba/s]
Updating lock file 'dvc.lock'
To track the changes ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4977/comments | https://api.github.com/repos/huggingface/datasets/issues/4977/events | https://github.com/huggingface/datasets/issues/4977 | 1,372,962,157 | I_kwDODunzps5R1b1t | 4,977 | Providing dataset size | {
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"Hi @sashavor, thanks for your suggestion.\r\n\r\nUntil now we have the CLI command \r\n```\r\ndatasets-cli test datasets/<your-dataset-folder> --save_infos --all_configs\r\n```\r\nthat generates the `dataset_infos.json` with the size of the downloaded dataset, among other information.\r\n\r\nWe are currently in th... | 2022-09-14T13:09:27Z | 2022-09-15T16:03:58Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Especially for big datasets like [LAION](https://huggingface.co/datasets/laion/laion2B-en/), it's hard to know exactly the downloaded size (because there are many files and you don't have their exact size when downloaded).
**Describe the solution yo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6702/comments | https://api.github.com/repos/huggingface/datasets/issues/6702/events | https://github.com/huggingface/datasets/issues/6702 | 2,161,938,484 | I_kwDODunzps6A3JA0 | 6,702 | Push samples to dataset on hub without having the dataset locally | {
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"Hi ! For now I would recommend creating a new Parquet file using `dataset_new.to_parquet()` and upload it to HF using `huggingface_hub` every time you get a new batch of data. You can name the Parquet files `0000.parquet`, `0001.parquet`, etc.\r\n\r\nThough maybe make sure to not upload one file per sample since t... | 2024-02-29T19:17:12Z | 2024-03-08T21:08:38Z | 2024-03-08T21:08:38Z | null | NONE | [] | null | null | {
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} | ### Feature request
Say I have the following code:
```
from datasets import Dataset
import pandas as pd
new_data = {
"column_1": ["value1", "value2"],
"column_2": ["value3", "value4"],
}
df_new = pd.DataFrame(new_data)
dataset_new = Dataset.from_pandas(df_new)
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https://api.github.com/repos/huggingface/datasets/issues/3164 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3164/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3164/comments | https://api.github.com/repos/huggingface/datasets/issues/3164/events | https://github.com/huggingface/datasets/issues/3164 | 1,035,662,830 | I_kwDODunzps49uvXu | 3,164 | Add raw data files to the Hub with GitHub LFS for canonical dataset | {
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"Hi @zlucia, I would actually suggest hosting the dataset as a huggingface.co-hosted dataset.\r\n\r\nThe only difference with a \"canonical\"/legacy dataset is that it's nested under an organization (here `stanford` or `stanfordnlp` for instance – completely up to you) but then you can upload your data using git-lf... | 2021-10-25T23:28:21Z | 2021-10-30T19:54:51Z | 2021-10-30T19:54:51Z | {
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} | I'm interested in sharing the CaseHOLD dataset (https://arxiv.org/abs/2104.08671) as a canonical dataset on the HuggingFace Hub and would like to add the raw data files to the Hub with GitHub LFS, since it seems like a more sustainable long term storage solution, compared to other storage solutions available to my team... | {
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https://api.github.com/repos/huggingface/datasets/issues/3084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3084/comments | https://api.github.com/repos/huggingface/datasets/issues/3084/events | https://github.com/huggingface/datasets/issues/3084 | 1,026,428,992 | I_kwDODunzps49LhBA | 3,084 | VisibleDeprecationWarning when using `set_format("numpy")` | {
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"I just opened a PR and I verified that the code you provided doesn't show any deprecation warning :)"
] | 2021-10-14T13:53:01Z | 2021-10-22T16:04:14Z | 2021-10-22T16:04:14Z | {
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} | Code to reproduce:
```
from datasets import load_dataset
dataset = load_dataset("glue", "mnli")
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('distilbert-base-cased')
def tokenize_function(dataset):
return tokenizer(dataset['premise'])
tokenized_datasets = dataset.... | {
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https://api.github.com/repos/huggingface/datasets/issues/4341 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4341/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4341/comments | https://api.github.com/repos/huggingface/datasets/issues/4341/events | https://github.com/huggingface/datasets/issues/4341 | 1,234,739,703 | I_kwDODunzps5JmKH3 | 4,341 | Failing CI on Windows for sari and wiki_split metrics | {
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Our CI is failing from yesterday on Windows for metrics: sari and wiki_split
```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_sari - ...
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_wiki_split
```
See: https://app.circleci.com/pipelines/githu... | {
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https://api.github.com/repos/huggingface/datasets/issues/7456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7456/comments | https://api.github.com/repos/huggingface/datasets/issues/7456/events | https://github.com/huggingface/datasets/issues/7456 | 2,922,676,278 | I_kwDODunzps6uNIA2 | 7,456 | .add_faiss_index and .add_elasticsearch_index returns ImportError at Google Colab | {
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"I can fix this.\nIt's mainly because faiss-gpu requires python<=3.10 but the default python version in colab is 3.11. We just have to downgrade the CPython version down to 3.10 and it should work fine.\n",
"I think I just had no chance to meet with faiss-cpu.\nIt could be import problem? \n_has_faiss gets its va... | 2025-03-16T00:51:49Z | 2025-03-17T15:57:19Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
At Google Colab
```!pip install faiss-cpu``` works
```import faiss``` no error
but
```embeddings_dataset.add_faiss_index(column='embeddings')```
returns
```
[/usr/local/lib/python3.11/dist-packages/datasets/search.py](https://localhost:8080/#) in init(self, device, string_factory, metric_type, cus... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5728/comments | https://api.github.com/repos/huggingface/datasets/issues/5728/events | https://github.com/huggingface/datasets/issues/5728 | 1,661,925,932 | I_kwDODunzps5jDvos | 5,728 | The order of data split names is nondeterministic | {
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} | After this CI error: https://github.com/huggingface/datasets/actions/runs/4639528358/jobs/8210492953?pr=5718
```
FAILED tests/test_data_files.py::test_get_data_files_patterns[data_file_per_split4] - AssertionError: assert ['random', 'train'] == ['train', 'random']
At index 0 diff: 'random' != 'train'
Full diff:... | {
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https://api.github.com/repos/huggingface/datasets/issues/6214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6214/comments | https://api.github.com/repos/huggingface/datasets/issues/6214/events | https://github.com/huggingface/datasets/issues/6214 | 1,881,736,469 | I_kwDODunzps5wKQUV | 6,214 | Unpin fsspec < 2023.9.0 | {
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} | Once root issue is fixed, remove temporary pin of fsspec < 2023.9.0 introduced by:
- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | {
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https://api.github.com/repos/huggingface/datasets/issues/2998 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2998/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2998/comments | https://api.github.com/repos/huggingface/datasets/issues/2998/events | https://github.com/huggingface/datasets/issues/2998 | 1,013,372,871 | I_kwDODunzps48ZtfH | 2,998 | cannot shuffle dataset loaded from disk | {
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} | ## Describe the bug
dataset loaded from disk cannot be shuffled.
## Steps to reproduce the bug
```
my_dataset = load_from_disk('s3://my_file/validate', fs=s3)
sample = my_dataset.select(range(100)).shuffle(seed=1234)
```
## Actual results
```
sample = my_dataset .select(range(100)).shuffle(seed=1234)
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4525/comments | https://api.github.com/repos/huggingface/datasets/issues/4525/events | https://github.com/huggingface/datasets/issues/4525 | 1,276,491,386 | I_kwDODunzps5MFbZ6 | 4,525 | Out of memory error on workers while running Beam+Dataflow | {
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"Some naive ideas to cope with this:\r\n- enable more RAM on each worker\r\n- force the spanning of more workers\r\n- others?",
"@albertvillanova We were finally able to process the full NQ dataset on our machines using 600 gb with 5 workers. Maybe these numbers will work for you as well.",
"Thanks a lot for th... | 2022-06-20T07:28:12Z | 2024-10-09T16:09:50Z | 2024-10-09T16:09:50Z | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
While running the preprocessing of the natural_question dataset (see PR #4368), there is an issue for the "default" config (train+dev files).
Previously we ran the preprocessing for the "dev" config (only dev files) with success.
Train data files are larger than dev ones and apparently worker... | {
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https://api.github.com/repos/huggingface/datasets/issues/6184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6184/comments | https://api.github.com/repos/huggingface/datasets/issues/6184/events | https://github.com/huggingface/datasets/issues/6184 | 1,867,766,143 | I_kwDODunzps5vU9l_ | 6,184 | Map cache does not detect function changes in another module | {
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"This issue is a duplicate of https://github.com/huggingface/datasets/issues/3297. This is a limitation of `dill`, a package we use for caching (non-`__main__` module objects are serialized by reference). You can find more info about it here: https://github.com/uqfoundation/dill/issues/424.\r\n\r\nIn your case, mo... | 2023-08-25T22:59:14Z | 2023-08-29T20:57:07Z | 2023-08-29T20:56:49Z | null | NONE | [] | null | null | {
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} | ```python
# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5105/comments | https://api.github.com/repos/huggingface/datasets/issues/5105/events | https://github.com/huggingface/datasets/issues/5105 | 1,406,078,357 | I_kwDODunzps5Tzw2V | 5,105 | Specifying an exisiting folder in download_and_prepare deletes everything in it | {
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"cc @lhoestq ",
"Thanks for reporting, @cakiki.\r\n\r\nI would say the deletion of the dir is an expected behavior though...",
"`dask.to_parquet` has an \"overwrite\" parameter and default is `False`, we could also have something similar",
"Thank you both for your feedback!\r\n\r\n@albertvillanova I think I m... | 2022-10-12T11:53:33Z | 2026-04-27T18:44:32Z | 2026-04-27T18:44:32Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also leads to **another bug** whose traceback is the following:
```
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https://api.github.com/repos/huggingface/datasets/issues/6162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6162/comments | https://api.github.com/repos/huggingface/datasets/issues/6162/events | https://github.com/huggingface/datasets/issues/6162 | 1,856,198,342 | I_kwDODunzps5uo1bG | 6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | {
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"Hi ! Feel free to open a discussion at https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T/discussions to ask the file to be fixed (or directly open a PR with the fixed file)\r\n\r\n`datasets` expects all the examples to have the same fields",
"@lhoestq I think the problem is caused by the fact th... | 2023-08-18T07:19:39Z | 2023-08-18T17:00:35Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7206/comments | https://api.github.com/repos/huggingface/datasets/issues/7206/events | https://github.com/huggingface/datasets/issues/7206 | 2,573,567,467 | I_kwDODunzps6ZZYXr | 7,206 | Slow iteration for iterable dataset with numpy formatting for array data | {
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"The below easily eats up 32G of RAM. Leaving it for a while bricked the laptop with 16GB.\r\n\r\n```\r\ndataset = load_dataset(\"Voxel51/OxfordFlowers102\", data_dir=\"data\").with_format(\"numpy\")\r\nprocessed_dataset = dataset.map(lambda x: x)\r\n```\r\n\r\n"
] | 2024-10-18T21:25:23Z | 2024-12-09T09:49:32Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
There is a bug when using load_dataset with dataset version at 3.0.1 .
Please see below in the "steps to reproduce the bug".
To resolve the bug, I had to downgrade to version 2.21.0
OS: Ubuntu 24 (AWS instance)
Python: same bug under 3.12 and 3.10
The error I had was:
Traceback (most rec... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5315/comments | https://api.github.com/repos/huggingface/datasets/issues/5315/events | https://github.com/huggingface/datasets/issues/5315 | 1,470,026,797 | I_kwDODunzps5XntQt | 5,315 | Adding new splits to a dataset script with existing old splits info in metadata's `dataset_info` fails | {
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"EDIT:\r\nI think in this case, the metadata files (either README or JSON) should not be read (i.e. `self.info.splits` should be None).\r\n\r\nOne idea: \r\n- I think ideally we should set this behavior when we pass `--save_info` to the CLI `test`\r\n- However, currently, the builder is unaware of this: `save_info`... | 2022-11-30T18:02:15Z | 2022-12-02T07:02:53Z | null | {
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} | ### Describe the bug
If you first create a custom dataset with a specific set of splits, generate metadata with `datasets-cli test ... --save_info`, then change your script to include more splits, it fails.
That's what happened in https://huggingface.co/datasets/mrdbourke/food_vision_199_classes/discussions/2#6385f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7390/comments | https://api.github.com/repos/huggingface/datasets/issues/7390/events | https://github.com/huggingface/datasets/issues/7390 | 2,843,813,365 | I_kwDODunzps6pgSX1 | 7,390 | Re-add py.typed | {
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"A similar issue was fixed for the `transformers` package, too: https://github.com/huggingface/transformers/pull/37022"
] | 2025-02-10T22:12:52Z | 2025-08-10T00:51:17Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2913 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2913/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2913/comments | https://api.github.com/repos/huggingface/datasets/issues/2913/events | https://github.com/huggingface/datasets/issues/2913 | 996,436,368 | I_kwDODunzps47ZGmQ | 2,913 | timit_asr dataset only includes one text phrase | {
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"Hi @margotwagner, \r\nThis bug was fixed in #1995. Upgrading the datasets should work (min v1.8.0 ideally)",
"Hi @margotwagner,\r\n\r\nYes, as @bhavitvyamalik has commented, this bug was fixed in `datasets` version 1.5.0. You need to update it, as your current version is 1.4.1:\r\n> Environment info\r\n> - `data... | 2021-09-14T21:06:07Z | 2021-09-15T08:05:19Z | 2021-09-15T08:05:18Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
The dataset 'timit_asr' only includes one text phrase. It only includes the transcription "Would such an act of refusal be useful?" multiple times rather than different phrases.
## Steps to reproduce the bug
Note: I am following the tutorial https://huggingface.co/blog/fine-tune-wav2vec2-englis... | {
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https://api.github.com/repos/huggingface/datasets/issues/6891 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6891/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6891/comments | https://api.github.com/repos/huggingface/datasets/issues/6891/events | https://github.com/huggingface/datasets/issues/6891 | 2,291,118,869 | I_kwDODunzps6Ij7MV | 6,891 | Unable to load JSON saved using `to_json` | {
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"Hi @DarshanDeshpande,\r\n\r\nPlease note that the default format of the method `Dataset.to_json` is [JSON-Lines](https://jsonlines.org/): it passes `orient=\"records\", lines=True` to `pandas.DataFrame.to_json`. This format is specially useful for large datasets, since unlike regular JSON files, it does not requir... | 2024-05-12T01:02:51Z | 2024-05-16T14:32:55Z | 2024-05-12T07:02:02Z | {
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} | ### Describe the bug
Datasets stored in the JSON format cannot be loaded using `json.load()`
### Steps to reproduce the bug
```
import json
from datasets import load_dataset
dataset = load_dataset("squad")
train_dataset, test_dataset = dataset["train"], dataset["validation"]
test_dataset.to_json("full_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/2536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2536/comments | https://api.github.com/repos/huggingface/datasets/issues/2536/events | https://github.com/huggingface/datasets/issues/2536 | 927,338,639 | MDU6SXNzdWU5MjczMzg2Mzk= | 2,536 | Use `Audio` features for `AutomaticSpeechRecognition` task template | {
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"I'm just retaking and working on #2324. 😉 ",
"Resolved via https://github.com/huggingface/datasets/pull/4006."
] | 2021-06-22T15:07:21Z | 2022-06-01T17:18:16Z | 2022-06-01T17:18:16Z | {
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} | In #2533 we added a task template for speech recognition that relies on the file paths to the audio files. As pointed out by @SBrandeis this is brittle as it doesn't port easily across different OS'.
The solution is to use dedicated `Audio` features when casting the dataset. These features are not yet available in ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7295 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7295/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7295/comments | https://api.github.com/repos/huggingface/datasets/issues/7295/events | https://github.com/huggingface/datasets/issues/7295 | 2,672,003,384 | I_kwDODunzps6fQ4k4 | 7,295 | [BUG]: Streaming from S3 triggers `unexpected keyword argument 'requote_redirect_url'` | {
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} | ### Describe the bug
Note that this bug is only triggered when `streaming=True`. #5459 introduced always calling fsspec with `client_kwargs={"requote_redirect_url": False}`, which seems to have incompatibility issues even in the newest versions.
Analysis of what's happening:
1. `datasets` passes the `client_kw... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7090/comments | https://api.github.com/repos/huggingface/datasets/issues/7090/events | https://github.com/huggingface/datasets/issues/7090 | 2,449,699,490 | I_kwDODunzps6SA3Ki | 7,090 | The test test_move_script_doesnt_change_hash fails because it runs the 'python' command while the python executable has a different name | {
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} | ### Describe the bug
Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5669/comments | https://api.github.com/repos/huggingface/datasets/issues/5669/events | https://github.com/huggingface/datasets/issues/5669 | 1,638,070,046 | I_kwDODunzps5hovce | 5,669 | Almost identical datasets, huge performance difference | {
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"Do I miss something here?",
"Hi! \r\n\r\nThe first dataset stores images as bytes (the \"image\" column type is `datasets.Image()`) and decodes them as `PIL.Image` objects and the second dataset stores them as variable-length lists (the \"image\" column type is `datasets.Sequence(...)`)), so I guess going from `... | 2023-03-23T18:20:20Z | 2023-04-09T18:56:23Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I am struggling to understand (huge) performance difference between two datasets that are almost identical.
### Steps to reproduce the bug
# Fast (normal) dataset speed:
```python
import cv2
from datasets import load_dataset
from torch.utils.data import DataLoader
dataset = load_dataset(... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6128/comments | https://api.github.com/repos/huggingface/datasets/issues/6128/events | https://github.com/huggingface/datasets/issues/6128 | 1,841,545,493 | I_kwDODunzps5tw8EV | 6,128 | IndexError: Invalid key: 88 is out of bounds for size 0 | {
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"Hi @TomasAndersonFang,\r\n\r\nHave you tried instead to use `torch_compile` in `transformers.TrainingArguments`? https://huggingface.co/docs/transformers/v4.31.0/en/main_classes/trainer#transformers.TrainingArguments.torch_compile",
"> \r\n\r\nI tried this and got the following error:\r\n\r\n```\r\nTraceback (mo... | 2023-08-08T15:32:08Z | 2023-12-26T07:51:57Z | 2023-08-11T13:35:09Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
This bug generates when I use torch.compile(model) in my code, which seems to raise an error in datasets lib.
### Steps to reproduce the bug
I use the following code to fine-tune Falcon on my private dataset.
```python
import transformers
from transformers import (
AutoModelForCausalLM... | {
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https://api.github.com/repos/huggingface/datasets/issues/1585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1585/comments | https://api.github.com/repos/huggingface/datasets/issues/1585/events | https://github.com/huggingface/datasets/issues/1585 | 768,831,171 | MDU6SXNzdWU3Njg4MzExNzE= | 1,585 | FileNotFoundError for `amazon_polarity` | {
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"Hi @phtephanx , the `amazon_polarity` dataset has not been released yet. It will be available in the coming soon v2of `datasets` :) \r\n\r\nYou can still access it now if you want, but you will need to install datasets via the master branch:\r\n`pip install git+https://github.com/huggingface/datasets.git@master`"
... | 2020-12-16T12:51:05Z | 2020-12-16T16:02:56Z | 2020-12-16T16:02:56Z | null | NONE | [] | null | null | {
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} | Version: `datasets==v1.1.3`
### Reproduction
```python
from datasets import load_dataset
data = load_dataset("amazon_polarity")
```
crashes with
```bash
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/amazon_polarity/amazon_polarity.py
```
and
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7318/comments | https://api.github.com/repos/huggingface/datasets/issues/7318/events | https://github.com/huggingface/datasets/issues/7318 | 2,730,676,278 | I_kwDODunzps6iwtA2 | 7,318 | Introduce support for PDFs | {
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"#self-assign",
"Awesome ! Let me know if you have any question or if I can help :)\r\n\r\ncc @AndreaFrancis as well for viz",
"Other candidates libraries for the Pdf type: PyMuPDF pypdf and pdfplumber\r\n\r\nEDIT: Pymupdf looks like a good choice when it comes to maturity + performance + versatility BUT the li... | 2024-12-10T16:59:48Z | 2024-12-12T18:38:13Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
The idea (discussed in the Discord server with @lhoestq ) is to have a Pdf type like Image/Audio/Video. For example [Video](https://github.com/huggingface/datasets/blob/main/src/datasets/features/video.py) was recently added and contains how to decode a video file encoded in a dictionary like {"pat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1876/comments | https://api.github.com/repos/huggingface/datasets/issues/1876/events | https://github.com/huggingface/datasets/issues/1876 | 808,025,859 | MDU6SXNzdWU4MDgwMjU4NTk= | 1,876 | load_dataset("multi_woz_v22") NonMatchingChecksumError | {
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"Thanks for reporting !\r\nThis is due to the changes made in the data files in the multiwoz repo: https://github.com/budzianowski/multiwoz/pull/59\r\nI'm opening a PR to update the checksums of the data files.",
"I just merged the fix. It will be available in the new release of `datasets` later today.\r\nYou'll ... | 2021-02-14T19:14:48Z | 2021-08-04T18:08:00Z | 2021-08-04T18:08:00Z | null | NONE | [] | null | null | {
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} | Hi, it seems that loading the multi_woz_v22 dataset gives a NonMatchingChecksumError.
To reproduce:
`dataset = load_dataset('multi_woz_v22','v2.2_active_only',split='train')`
This will give the following error:
```
raise NonMatchingChecksumError(error_msg + str(bad_urls))
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https://api.github.com/repos/huggingface/datasets/issues/2426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2426/comments | https://api.github.com/repos/huggingface/datasets/issues/2426/events | https://github.com/huggingface/datasets/issues/2426 | 906,473,546 | MDU6SXNzdWU5MDY0NzM1NDY= | 2,426 | Saving Graph/Structured Data in Datasets | {
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] | closed | false | [] | null | [
"It should probably work out of the box to save structured data. If you want to show an example we can help you.",
"An example of a toy dataset is like:\r\n```json\r\n[\r\n {\r\n \"name\": \"mike\",\r\n \"friends\": [\r\n \"tom\",\r\n \"lily\"\r\n ],\r\n \"arti... | 2021-05-29T13:35:21Z | 2021-06-02T01:21:03Z | 2021-06-02T01:21:03Z | null | NONE | [] | null | null | {
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} | Thanks for this amazing library! And my question is I have structured data that is organized with a graph. For example, a dataset with users' friendship relations and user's articles. When I try to save a python dict in the dataset, an error occurred ``did not recognize Python value type when inferring an Arrow data ty... | {
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https://api.github.com/repos/huggingface/datasets/issues/6069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6069/comments | https://api.github.com/repos/huggingface/datasets/issues/6069/events | https://github.com/huggingface/datasets/issues/6069 | 1,820,831,535 | I_kwDODunzps5sh68v | 6,069 | KeyError: dataset has no key "image" | {
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"You can list the dataset's columns with `ds.column_names` before `.map` to check whether the dataset has an `image` column. If it doesn't, then this is a bug. Otherwise, please paste the line with the `.map` call.\r\n\r\n\r\n",
"This is the piece of code I am running:\r\n```\r\ndata_transforms = utils.get_data_a... | 2023-07-25T17:45:50Z | 2024-09-06T08:16:16Z | 2023-07-27T12:42:17Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I've loaded a local image dataset with:
`ds = laod_dataset("imagefolder", data_dir=path-to-data)`
And defined a transform to process the data, following the Datasets docs.
However, I get a keyError error, indicating there's no "image" key in my dataset. When I printed out the example_batch ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2600/comments | https://api.github.com/repos/huggingface/datasets/issues/2600/events | https://github.com/huggingface/datasets/issues/2600 | 938,086,745 | MDU6SXNzdWU5MzgwODY3NDU= | 2,600 | Crash when using multiprocessing (`num_proc` > 1) on `filter` and all samples are discarded | {
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] | closed | false | [] | null | [] | 2021-07-06T16:53:25Z | 2021-07-07T12:50:31Z | 2021-07-07T12:50:31Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
If `filter` is applied to a dataset using multiprocessing (`num_proc` > 1) and all sharded datasets are empty afterwards (due to all samples being discarded), the program crashes.
## Steps to reproduce the bug
```python
from datasets import Dataset
data = Dataset.from_dict({'id': [0,1]})
dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/2278 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2278/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2278/comments | https://api.github.com/repos/huggingface/datasets/issues/2278/events | https://github.com/huggingface/datasets/issues/2278 | 870,088,059 | MDU6SXNzdWU4NzAwODgwNTk= | 2,278 | Loss result inGptNeoForCasual | {
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"Hi ! I think you might have to ask on the `transformers` repo on or the forum at https://discuss.huggingface.co/\r\n\r\nClosing since it's not related to this library"
] | 2021-04-28T15:39:52Z | 2021-05-06T16:14:23Z | 2021-05-06T16:14:23Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7153/comments | https://api.github.com/repos/huggingface/datasets/issues/7153/events | https://github.com/huggingface/datasets/issues/7153 | 2,532,788,555 | I_kwDODunzps6W90lL | 7,153 | Support data files with .ndjson extension | {
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} | ### Feature request
Support data files with `.ndjson` extension.
### Motivation
We already support data files with `.jsonl` extension.
### Your contribution
I am opening a PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/7180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7180/comments | https://api.github.com/repos/huggingface/datasets/issues/7180/events | https://github.com/huggingface/datasets/issues/7180 | 2,554,244,750 | I_kwDODunzps6YPq6O | 7,180 | Memory leak when wrapping datasets into PyTorch Dataset without explicit deletion | {
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"> I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.\r\n\r\nDatasets are memory mapped so they work like SWAP memory. In particular as long as you have RAM available the data... | 2024-09-28T14:00:47Z | 2024-09-30T12:07:56Z | 2024-09-30T12:07:56Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.
### Steps to reproduce the bug
Steps to reproduce:
Create a PyTorch Dataset wrapper f... | {
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https://api.github.com/repos/huggingface/datasets/issues/4907 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4907/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4907/comments | https://api.github.com/repos/huggingface/datasets/issues/4907/events | https://github.com/huggingface/datasets/issues/4907 | 1,353,808,348 | I_kwDODunzps5QsXnc | 4,907 | None Type error for swda datasets | {
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"Thanks for reporting @hannan72 ! I couldn't reproduce the error on my side, can you share the full stack trace please ?",
"Thanks a lot for your response @lhoestq \r\nThe problem is solved accidentally today and I don't know exactly why it was happened yesterday.\r\nThe issue can be closed.",
"Ok, let us know ... | 2022-08-29T07:05:20Z | 2022-08-30T14:43:41Z | 2022-08-30T14:43:41Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I got `'NoneType' object is not callable` error while calling the swda datasets.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("swda")
```
## Expected results
Run without error
## Environment info
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https://api.github.com/repos/huggingface/datasets/issues/3484 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3484/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3484/comments | https://api.github.com/repos/huggingface/datasets/issues/3484/events | https://github.com/huggingface/datasets/issues/3484 | 1,088,910,402 | I_kwDODunzps5A53RC | 3,484 | make shape verification to use ArrayXD instead of nested lists for map | {
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"Hi! \r\n\r\nYes, this makes sense for numeric values, but first I have to finish https://github.com/huggingface/datasets/pull/3336 because currently ArrayXD only allows the first dimension to be dynamic."
] | 2021-12-27T02:16:02Z | 2022-01-05T13:54:03Z | null | null | NONE | [] | null | null | {
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} | As describe in https://github.com/huggingface/datasets/issues/2005#issuecomment-793716753 and mentioned by @mariosasko in [image feature example](https://colab.research.google.com/drive/1mIrTnqTVkWLJWoBzT1ABSe-LFelIep1c#scrollTo=ow3XHDvf2I0B&line=1&uniqifier=1), IMO make shape verifcaiton to use ArrayXD instead of nest... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3543/comments | https://api.github.com/repos/huggingface/datasets/issues/3543/events | https://github.com/huggingface/datasets/issues/3543 | 1,095,226,438 | I_kwDODunzps5BR9RG | 3,543 | Allow loading community metrics from the hub, just like datasets | {
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"Hi ! Thanks for your message :) This is a great idea indeed. We haven't started working on this yet though. For now I guess you can host your metric on the Hub (either with your model or your dataset) and use `hf_hub_download` to download it (docs [here](https://github.com/huggingface/huggingface_hub/blob/main/doc... | 2022-01-06T11:26:26Z | 2022-05-31T20:59:14Z | 2022-05-31T20:53:37Z | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Currently, I can load a metric implemented by me by providing the local path to the file in `load_metric`.
However, there is no option to do it with the metric uploaded to the hub.
This means that if I want to allow other users to use it, they must d... | {
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https://api.github.com/repos/huggingface/datasets/issues/5172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5172/comments | https://api.github.com/repos/huggingface/datasets/issues/5172/events | https://github.com/huggingface/datasets/issues/5172 | 1,425,523,114 | I_kwDODunzps5U98Gq | 5,172 | Inconsistency behavior between handling local file protocol and other FS protocols | {
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} | ### Describe the bug
These lines us used during load_from_disk:
```
if is_remote_filesystem(fs):
dest_dataset_dict_path = extract_path_from_uri(dataset_dict_path)
else:
fs = fsspec.filesystem("file")
dest_dataset_dict_path = dataset_dict_path
```
If a local FS is given, then it will the URL as th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6507/comments | https://api.github.com/repos/huggingface/datasets/issues/6507/events | https://github.com/huggingface/datasets/issues/6507 | 2,045,152,928 | I_kwDODunzps555o6g | 6,507 | where is glue_metric.py> @Frankie123421 what was the resolution to this? | {
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use glue_metric.py instead of glue.py in load_metric
_Originally posted by @Frankie123421 in https://github.com/huggingface/datasets/issues/2117#issuecomment-905093763_
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https://api.github.com/repos/huggingface/datasets/issues/1733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1733/comments | https://api.github.com/repos/huggingface/datasets/issues/1733/events | https://github.com/huggingface/datasets/issues/1733 | 784,903,002 | MDU6SXNzdWU3ODQ5MDMwMDI= | 1,733 | connection issue with glue, what is the data url for glue? | {
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"Hello @juliahane, which config of GLUE causes you trouble?\r\nThe URLs are defined in the dataset script source code: https://github.com/huggingface/datasets/blob/master/datasets/glue/glue.py"
] | 2021-01-13T08:37:40Z | 2021-08-04T18:13:55Z | 2021-08-04T18:13:55Z | null | NONE | [] | null | null | {
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my codes sometimes fails due to connection issue with glue, could you tell me how I can have the URL datasets library is trying to read GLUE from to test the machines I am working on if there is an issue on my side or not
thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/4556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4556/comments | https://api.github.com/repos/huggingface/datasets/issues/4556/events | https://github.com/huggingface/datasets/issues/4556 | 1,283,462,881 | I_kwDODunzps5MgBbh | 4,556 | Dataset Viewer issue for conll2003 | {
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"Fixed, thanks."
] | 2022-06-24T08:55:18Z | 2022-06-24T09:50:39Z | 2022-06-24T09:50:39Z | {
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https://huggingface.co/datasets/conll2003/viewer/conll2003/test
### Description
Seems like a cache problem with this config / split:
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '/cache/modules/datasets_modules/datasets/conll... | {
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https://api.github.com/repos/huggingface/datasets/issues/4114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4114/comments | https://api.github.com/repos/huggingface/datasets/issues/4114/events | https://github.com/huggingface/datasets/issues/4114 | 1,194,855,345 | I_kwDODunzps5HOAux | 4,114 | Allow downloading just some columns of a dataset | {
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"In the general case you can’t always reduce the quantity of data to download, since you can’t parse CSV or JSON data without downloading the whole files right ? ^^ However we could explore this case-by-case I guess",
"Actually for csv pandas has `usecols` which allows loading a subset of columns in a more effici... | 2022-04-06T16:38:46Z | 2025-02-17T15:10:56Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Some people are interested in doing label analysis of a CV dataset without downloading all the images. Downloading the whole dataset does not always makes sense for this kind of use case
**Describe the solution you'd like**
Be able to just download... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3813/comments | https://api.github.com/repos/huggingface/datasets/issues/3813/events | https://github.com/huggingface/datasets/issues/3813 | 1,158,474,859 | I_kwDODunzps5FDOxr | 3,813 | Add MetaShift dataset | {
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"I would like to take this up and give it a shot. Any image specific - dataset guidelines to keep in mind ? Thank you.",
"#self-assign",
"I've started working on adding this dataset. I require some inputs on the following : \r\n\r\nRef for the initial draft [here](https://github.com/dnaveenr/datasets/blob/add_m... | 2022-03-03T14:26:45Z | 2022-04-10T13:39:59Z | 2022-04-10T13:39:59Z | {
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} | ## Adding a Dataset
- **Name:** MetaShift
- **Description:** collection of 12,868 sets of natural images across 410 classes-
- **Paper:** https://arxiv.org/abs/2202.06523v1
- **Data:** https://github.com/weixin-liang/metashift
Instructions to add a new dataset can be found [here](https://github.com/huggingface/... | {
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https://api.github.com/repos/huggingface/datasets/issues/4814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4814/comments | https://api.github.com/repos/huggingface/datasets/issues/4814/events | https://github.com/huggingface/datasets/issues/4814 | 1,333,356,230 | I_kwDODunzps5PeWbG | 4,814 | Support CSV as metadata file format in AudioFolder/ImageFolder | {
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