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cc @polinaeterna this will be useful if we have audio datasets that are canonical and for which you'd like to host data files | {
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https://api.github.com/repos/huggingface/datasets/issues/3708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3708/comments | https://api.github.com/repos/huggingface/datasets/issues/3708/events | https://github.com/huggingface/datasets/issues/3708 | 1,132,968,402 | I_kwDODunzps5Dh7nS | 3,708 | Loading JSON gets stuck with many workers/threads | {
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"Hi ! Note that it does `block_size *= 2` until `block_size > len(batch)`, so it doesn't loop indefinitely. What do you mean by \"get stuck indefinitely\" then ? Is this the actual call to `paj.read_json` that hangs ?\r\n\r\n> increasing the `chunksize` argument decreases the chance of getting stuck\r\n\r\nCould yo... | 1,644,605,448,000 | 1,644,613,073,000 | null | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
Loading a JSON dataset with `load_dataset` can get stuck when running on a machine with many CPUs. This is especially an issue when loading a large dataset on a large machine.
## Steps to reproduce the bug
I originally created the following script to reproduce the issue:
```python
from dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/3707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3707/comments | https://api.github.com/repos/huggingface/datasets/issues/3707/events | https://github.com/huggingface/datasets/issues/3707 | 1,132,741,903 | I_kwDODunzps5DhEUP | 3,707 | `.select`: unexpected behavior with `indices` | {
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"Hi! Currently, we compute the final index as `index % len(dset)`. I agree this behavior is somewhat unexpected and that it would be more appropriate to raise an error instead (this is what `df.iloc` in Pandas does, for instance).\r\n\r\n@albertvillanova @lhoestq wdyt?",
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} | ## Describe the bug
The `.select` method will not throw when sending `indices` bigger than the dataset length; `indices` will be wrapped instead. This behavior is not documented anywhere, and is not intuitive.
## Steps to reproduce the bug
```python
from datasets import Dataset
ds = Dataset.from_dict({"text": [... | {
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"Hi @ankitk2109,\r\n\r\nHave you tried passing the split name with the keyword `split=`? See e.g. an example in our Quick Start docs: https://huggingface.co/docs/datasets/quickstart.html#load-the-dataset-and-model\r\n```python\r\n ds = load_dataset(\"big_patent\", \"d\", split=\"validation\")",
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} | ## Describe the bug
Unable to load the "big_patent" dataset
## Steps to reproduce the bug
```python
load_dataset('big_patent', 'd', 'validation')
```
## Expected results
Download big_patents' validation split from the 'd' subset
## Getting an error saying:
{FileNotFoundError}Local file ..\huggingface\dat... | {
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This PR raises an informative error message telling them they should use `load_from_disk` instead.
Close #3700. | {
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https://api.github.com/repos/huggingface/datasets/issues/3704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3704/comments | https://api.github.com/repos/huggingface/datasets/issues/3704/events | https://github.com/huggingface/datasets/issues/3704 | 1,132,042,631 | I_kwDODunzps5DeZmH | 3,704 | OSCAR-2109 datasets are misaligned and truncated | {
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"Hi @adrianeboyd, thanks for reporting.\r\n\r\nThere is indeed a bug in that community dataset:\r\nLine:\r\n```python\r\nmetadata_and_text_files = list(zip(metadata_files, text_files))\r\n``` \r\nshould be replaced with\r\n```python\r\nmetadata_and_text_files = list(zip(sorted(metadata_files), sorted(text_files)))\... | 1,644,567,299,000 | 1,644,576,101,000 | null | NONE | null | null | {
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} | ## Describe the bug
The `oscar-corpus/OSCAR-2109` data appears to be misaligned and truncated by the dataset builder for subsets that contain more than one part and for cases where the texts contain non-unix newlines.
## Steps to reproduce the bug
A few examples, although I'm not sure how deterministic the par... | {
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https://api.github.com/repos/huggingface/datasets/issues/3703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3703/comments | https://api.github.com/repos/huggingface/datasets/issues/3703/events | https://github.com/huggingface/datasets/issues/3703 | 1,131,882,772 | I_kwDODunzps5DdykU | 3,703 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance' | {
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"\r\nMy datasets version",
"\r\n"
] | 1,644,561,522,000 | 1,644,561,618,000 | null | NONE | null | null | {
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} | hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to load locally. Loading code: metric = load_ metric(path='mymetric/seqeval/seqeval.py')
But tips:
Traceback (most recent call last):
File... | {
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https://api.github.com/repos/huggingface/datasets/issues/3702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3702/comments | https://api.github.com/repos/huggingface/datasets/issues/3702/events | https://github.com/huggingface/datasets/pull/3702 | 1,130,666,707 | PR_kwDODunzps4yahKc | 3,702 | Update the address to use https | {
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https://api.github.com/repos/huggingface/datasets/issues/3701 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3701/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3701/comments | https://api.github.com/repos/huggingface/datasets/issues/3701/events | https://github.com/huggingface/datasets/pull/3701 | 1,130,498,738 | PR_kwDODunzps4yZ8Dw | 3,701 | Pin ElasticSearch | {
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} | Until we manage to support ES 8.0, I'm setting the version to `<8.0.0`
Currently we're getting this error on 8.0:
```python
ValueError: Either 'hosts' or 'cloud_id' must be specified
```
When instantiating a `Elasticsearch()` object | {
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https://api.github.com/repos/huggingface/datasets/issues/3700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3700/comments | https://api.github.com/repos/huggingface/datasets/issues/3700/events | https://github.com/huggingface/datasets/issues/3700 | 1,130,252,496 | I_kwDODunzps5DXkjQ | 3,700 | Unable to load a dataset | {
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"Hi! `load_dataset` is intended to be used to load a canonical dataset (`wikipedia`), a packaged dataset (`csv`, `json`, ...) or a dataset hosted on the Hub. For local datasets saved with `save_to_disk(\"path/to/dataset\")`, use `load_from_disk(\"path/to/dataset\")`.",
"Maybe we should raise an informative error ... | 1,644,505,553,000 | 1,644,620,199,000 | 1,644,620,199,000 | NONE | null | null | {
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} | ## Describe the bug
Unable to load a dataset from Huggingface that I have just saved.
## Steps to reproduce the bug
On Google colab
`! pip install datasets `
`from datasets import load_dataset`
`my_path = "wiki_dataset"`
`dataset = load_dataset('wikipedia', "20200501.fr")`
`dataset.save_to_disk(my_path)`
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/3699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3699/comments | https://api.github.com/repos/huggingface/datasets/issues/3699/events | https://github.com/huggingface/datasets/pull/3699 | 1,130,200,593 | PR_kwDODunzps4yY49I | 3,699 | Add dev-only config to Natural Questions dataset | {
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"Great thanks ! I think we can fix the CI by copying the NQ folder on gcs to 0.0.3. Does that sound good ?",
"I've copied the 0.0.2 folder content to 0.0.3, as suggested.\r\n\r\nI'm updating the dataset card..."
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} | As suggested by @lhoestq and @thomwolf, a new config has been added to Natural Questions dataset, so that only dev split can be downloaded.
Fix #413. | {
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https://api.github.com/repos/huggingface/datasets/issues/3698 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3698/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3698/comments | https://api.github.com/repos/huggingface/datasets/issues/3698/events | https://github.com/huggingface/datasets/pull/3698 | 1,129,864,282 | PR_kwDODunzps4yXtyQ | 3,698 | Add finetune-data CodeFill | {
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} | Currently, it may raise `DuplicatedKeysError`.
Fix #3630. | {
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} | Currently, `names_file` is a field of the data class `ClassLabel`, thus appearing when transforming it to dict (when saving infos). Afterwards, when trying to read it from infos, it conflicts with the other field `names`.
This PR, removes `names_file` as a field of the data class `ClassLabel`.
- it is only used at ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3693 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3693/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3693/comments | https://api.github.com/repos/huggingface/datasets/issues/3693/events | https://github.com/huggingface/datasets/pull/3693 | 1,128,554,365 | PR_kwDODunzps4yTTcQ | 3,693 | Standardize to `Example::` | {
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"- I updated the previous dummy data: I just had to rename the file and its directory\r\n - the dummy data zip contains only a single file: `pubmed22n0001.xml.gz`\r\n\r\nThen I discover it fails: https://app.circleci.com/pipelines/github/huggingface/datasets/9800/workflows/173a4433-8feb-4fc6-ab9e-59762084e3e1/jobs... | 1,644,401,181,000 | 1,644,505,080,000 | null | MEMBER | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/3690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3690/comments | https://api.github.com/repos/huggingface/datasets/issues/3690/events | https://github.com/huggingface/datasets/pull/3690 | 1,127,493,538 | PR_kwDODunzps4yP2p5 | 3,690 | WIP: update docs to new frontend/UI | {
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} | ### TLDR: Update `datasets` `docs` to the new syntax & frontend (as how it looks on [hf.co/transformers](https://huggingface.co/docs/transformers/index))
## Checklist
- [ ] update datasets docs to new syntax (should call `doc-builder convert`) (this PR)
- [x] discuss `@property` methods frontend https://github.c... | {
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"Does it mean that huge files might end up being downloaded? It would go against the purpose of streaming, I think. At least, this fallback should be an option that could be disabled",
"Yes, it is against the purpose of streaming, but streaming is not possible if the server does not allow HTTP range requests.\n\n... | 1,644,334,865,000 | 1,644,511,885,000 | 1,644,511,885,000 | MEMBER | null | false | {
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} | Some servers do not support HTTP range requests, whereas this is required to stream some file formats (like ZIP).
~~This PR implements a workaround for those cases, by download the files locally in a temporary directory (cleaned up by the OS once the process is finished).~~
This PR raises custom error explaining ... | {
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"Hi @Zaker237, thanks for reporting.\r\n\r\nThis is weird: the error you get is only thrown if the installed pyarrow version is less than 3.0.0.\r\n\r\nCould you please check that you install pyarrow in the same Python virtual environment where you installed datasets?\r\n\r\nFrom the Python command line (or termina... | 1,644,324,839,000 | 1,644,388,533,000 | 1,644,388,532,000 | NONE | null | null | {
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} | ## Describe the bug
I installed datasets(version 1.17.0, 1.18.0, 1.18.3) but i'm right now nor able to import it because of pyarrow. when i try to import it, i get the following error:
`To use datasets, the module pyarrow>=3.0.0 is required, and the current version of pyarrow doesn't match this condition`.
i tryed w... | {
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https://api.github.com/repos/huggingface/datasets/issues/3687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3687/comments | https://api.github.com/repos/huggingface/datasets/issues/3687/events | https://github.com/huggingface/datasets/issues/3687 | 1,127,154,766 | I_kwDODunzps5DLwRO | 3,687 | Can't get the text data when calling to_tf_dataset | {
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"cc @Rocketknight1 ",
"You are correct that `to_tf_dataset` only handles numerical columns right now, yes, though this is a limitation we might remove in future! The main reason we do this is that our models mostly do not include the tokenizer as a model layer, because it's very difficult to compile some of them ... | 1,644,321,130,000 | 1,644,339,295,000 | null | NONE | null | null | {
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} | I am working with the SST2 dataset, and am using TensorFlow 2.5
I'd like to convert it to a `tf.data.Dataset` by calling the `to_tf_dataset` method.
The following snippet is what I am using to achieve this:
```
from datasets import load_dataset
from transformers import DefaultDataCollator
data_collator = Defa... | {
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https://api.github.com/repos/huggingface/datasets/issues/3686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3686/comments | https://api.github.com/repos/huggingface/datasets/issues/3686/events | https://github.com/huggingface/datasets/issues/3686 | 1,127,137,290 | I_kwDODunzps5DLsAK | 3,686 | `Translation` features cannot be `flatten`ed | {
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"Thanks for reporting, @SBrandeis! Some additional feature types don't behave as expected when flattened: `Audio`, `Image` and `TranslationVariableLanguages`"
] | 1,644,320,028,000 | 1,644,328,354,000 | null | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
(`Dataset.flatten`)[https://github.com/huggingface/datasets/blob/master/src/datasets/arrow_dataset.py#L1265] fails for columns with feature (`Translation`)[https://github.com/huggingface/datasets/blob/3edbeb0ec6519b79f1119adc251a1a6b379a2c12/src/datasets/features/translation.py#L8]
## Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/3685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3685/comments | https://api.github.com/repos/huggingface/datasets/issues/3685/events | https://github.com/huggingface/datasets/pull/3685 | 1,126,240,444 | PR_kwDODunzps4yLw3m | 3,685 | Add support for `Audio` and `Image` feature in `push_to_hub` | {
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"> Cool thanks !\r\n> \r\n> Also cc @patrickvonplaten @anton-l it means that when calling push_to_hub, the audio bytes are embedded in the parquet files (we don't upload the audio files themselves)\r\n\r\nJust to verify quickly the size of the dataset doesn't change in this case no? E.g. if a dataset has say 20GB i... | 1,644,252,436,000 | 1,644,608,400,000 | null | CONTRIBUTOR | null | false | {
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} | Add support for the `Audio` and the `Image` feature in `push_to_hub`.
The idea is to remove local path information and store file content under "bytes" in the Arrow table before the push.
My initial approach (https://github.com/huggingface/datasets/commit/34c652afeff9686b6b8bf4e703c84d2205d670aa) was to use a ma... | {
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"Hi ! Thanks for the fix ! Do you know where this new URL comes from ?\r\n\r\nAlso we try to not use Google Drive if possible, since it has download quota limitations. Do you know if the data is available from another host than Google Drive ?",
"Oh, I found it just by following the link from the [IWSLT2017 homepa... | 1,644,134,215,000 | 1,644,395,971,000 | null | NONE | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/3683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3683/comments | https://api.github.com/repos/huggingface/datasets/issues/3683/events | https://github.com/huggingface/datasets/pull/3683 | 1,124,458,371 | PR_kwDODunzps4yGKoj | 3,683 | added told-br (brazilian hate speech) dataset | {
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"Amazing thank you ! Feel free to regenerate the `dataset_infos.json` to account for the feature type change, and then I think we'll be good to merge :)",
"Great thank you ! merging :)"
] | 1,643,996,672,000 | 1,644,268,492,000 | 1,644,268,492,000 | CONTRIBUTOR | null | false | {
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Adding ToLD-Br. Feel free to ask for modifications.
Thanks!! | {
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https://api.github.com/repos/huggingface/datasets/issues/3682 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3682/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3682/comments | https://api.github.com/repos/huggingface/datasets/issues/3682/events | https://github.com/huggingface/datasets/pull/3682 | 1,124,434,330 | PR_kwDODunzps4yGFml | 3,682 | adding told-br for toxic/abusive hatespeech detection | {
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"Sorry for using multiple github accounts, I didn't notice I was using my professional account to commit/push. Please consider this @JAugusto97 account as the correct one.",
"Will remake the PR with the correct github account."
] | 1,643,995,109,000 | 1,644,204,204,000 | 1,643,996,200,000 | CONTRIBUTOR | null | false | {
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I'm adding our dataset from our paper published at AACL 2020. Feel free to ask for modifications.
Thanks! | {
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https://api.github.com/repos/huggingface/datasets/issues/3681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3681/comments | https://api.github.com/repos/huggingface/datasets/issues/3681/events | https://github.com/huggingface/datasets/pull/3681 | 1,124,237,458 | PR_kwDODunzps4yFcpM | 3,681 | Fix TestCommand to move dataset_infos instead of copying | {
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"All the datasets that are loaded normally with `load_dataset`, if `dataset_infos.json` exists, have this file in the importable directory. So it's fine if we copy the file instead of moving it but it's not a big deal.\r\n\r\nAny reason to prefer moving it rather than copying it ?",
"@lvwerra reported than when g... | 1,643,983,312,000 | 1,644,000,436,000 | null | MEMBER | null | false | {
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CC: @lhoestq @lvwerra | {
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CC: @lvwerra | {
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"For reference:\r\nhttps://github.com/huggingface/transformers/issues/15514\r\nhttps://github.com/huggingface/huggingface_hub/issues/650",
"Hi ! For information one can set the environment variable `HF_ENDPOINT` (default is `https://huggingface.co`) if they want to use a private hub.\r\n\r\nWe may need to coordin... | 1,643,971,746,000 | 1,644,419,065,000 | null | NONE | null | null | {
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} | In the context of a private hub deployment, customers would like to use load_dataset() to load datasets from their hub, not from the public hub. This doesn't seem to be configurable at the moment and it would be nice to add this feature.
The obvious workaround is to clone the repo first and then load it from local s... | {
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"Seems like a regression from https://github.com/huggingface/datasets/pull/2843\r\n\r\nOr maybe it's an issue with the hosting. I don't think so, though, because https://www.dropbox.com/s/aox84z90nyyuikz/discovery.zip seems to work as expected\r\n\r\n",
"Hi @severo, thanks for reporting.\r\n\r\nSome servers do no... | 1,643,900,523,000 | 1,644,511,884,000 | 1,644,511,884,000 | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
from datasets import load_dataset
iterable_dataset = load_dataset("discovery", name="discovery", split="train", streaming=True)
list(iterable_dataset.take(1))
```
## Expected results
The first ... | {
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"It looks like this is because of this behavior in pyarrow:\r\n```python\r\nimport pyarrow as pa\r\n\r\narr = pa.array([None, [0]])\r\nreconstructed_arr = pa.ListArray.from_arrays(arr.offsets, arr.values)\r\nprint(reconstructed_arr.to_pylist())\r\n# [[], [0]]\r\n```\r\n\r\nIt seems that `arr.offsets` is wrong:\r\n`... | 1,643,895,408,000 | 1,643,905,852,000 | null | MEMBER | null | null | {
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} | Sometimes `None` can be replaced by `[]` when running map:
```python
from datasets import Dataset
ds = Dataset.from_dict({"a": range(4)})
ds = ds.map(lambda x: {"b": [[None, [0]]]}, batched=True, batch_size=1, remove_columns=["a"])
print(ds.to_pandas())
# b
# 0 [None, [0]]
# 1 [[], [0]]
# ... | {
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"@mariosasko Can I take this up?"
] | 1,643,894,400,000 | 1,644,526,238,000 | null | CONTRIBUTOR | null | null | {
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} | ## Adding a Dataset
- **Name:** CodeContests
- **Description:** CodeContests is a competitive programming dataset for machine-learning.
- **Paper:**
- **Data:** https://github.com/deepmind/code_contests
- **Motivation:** This dataset was used when training [AlphaCode](https://deepmind.com/blog/article/Competitive-... | {
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"@lhoestq \r\n\r\nThe model used by default (`moussaKam/frugalscore_tiny_bert-base_bert-score`) is a tiny model.\r\n\r\nI still want to make one modification before merging.\r\nI would like to load the model checkpoint once. Do you think it's a good idea if I load it in `_download_and_prepare`? In this case should ... | 1,643,891,332,000 | 1,644,334,136,000 | null | CONTRIBUTOR | null | false | {
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} | This pull request add FrugalScore metric for NLG systems evaluation.
FrugalScore is a reference-based metric for NLG models evaluation. It is based on a distillation approach that allows to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance.
Paper: https:... | {
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"Yes, we decided to replace the encoded label with the corresponding label when possible in the dataset viewer. But\r\n1. maybe it's the wrong default\r\n2. we could find a way to show both (with a switch, or showing both ie. `0 (neutral)`).\r\n",
"Hi @severo,\r\n\r\nThanks for clarifying. \r\n\r\nI think this de... | 1,643,890,243,000 | 1,644,598,881,000 | 1,644,598,881,000 | NONE | null | null | {
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} | ## Describe the bug
The dataset that is downloaded from the Hub via `load_dataset("snli")` is different from what is available in the dataset viewer. In the viewer the labels are not encoded (i.e., "neutral", "entailment", "contradiction"), while the downloaded dataset shows the encoded labels (i.e., 0, 1, 2).
Is t... | {
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} | This fixes a bug in the `TestCommand` where multiple kwargs for `name` were passed if it was set in both default and `module.builder_kwargs`. Example error:
```Python
Traceback (most recent call last):
File "create_metadata.py", line 96, in <module>
main(**vars(args))
File "create_metadata.py", line 86, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3671/comments | https://api.github.com/repos/huggingface/datasets/issues/3671/events | https://github.com/huggingface/datasets/issues/3671 | 1,122,864,253 | I_kwDODunzps5C7Yx9 | 3,671 | Give an estimate of the dataset size in DatasetInfo | {
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} | **Is your feature request related to a problem? Please describe.**
Currently, only part of the datasets provide `dataset_size`, `download_size`, `size_in_bytes` (and `num_bytes` and `num_examples` inside `splits`). I would want to get this information, or an estimation, for all the datasets.
**Describe the soluti... | {
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https://api.github.com/repos/huggingface/datasets/issues/3670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3670/comments | https://api.github.com/repos/huggingface/datasets/issues/3670/events | https://github.com/huggingface/datasets/pull/3670 | 1,122,439,827 | PR_kwDODunzps4x_kBx | 3,670 | feat: 🎸 generate info if dataset_infos.json does not exist | {
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"It's a first attempt at solving https://github.com/huggingface/datasets/issues/3013.",
"I only kept these ones:\r\n```\r\n path: str,\r\n data_files: Optional[Union[Dict, List, str]] = None,\r\n download_config: Optional[DownloadConfig] = None,\r\n download_mode: Optional[GenerateMode] = None,\r\n ... | 1,643,839,916,000 | 1,644,611,075,000 | null | CONTRIBUTOR | null | false | {
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} | in get_dataset_infos(). Also: add the `use_auth_token` parameter, and create get_dataset_config_info()
✅ Closes: #3013 | {
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https://api.github.com/repos/huggingface/datasets/issues/3669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3669/comments | https://api.github.com/repos/huggingface/datasets/issues/3669/events | https://github.com/huggingface/datasets/pull/3669 | 1,122,335,622 | PR_kwDODunzps4x_OTI | 3,669 | Common voice validated partition | {
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"Hi @patrickvonplaten - could you please advise whether this would be a welcomed change, and if so, who I consult regarding the unit-tests?",
"I'd be happy with adding this change. @anton-l @lhoestq - what do you think?",
"Cool ! I just fixed the tests by adding a dummy `validated.tsv` file in the dummy data ar... | 1,643,832,283,000 | 1,644,341,212,000 | 1,644,340,992,000 | CONTRIBUTOR | null | false | {
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} | This patch adds access to the 'validated' partitions of CommonVoice datasets (provided by the dataset creators but not available in the HuggingFace interface yet).
As 'validated' contains significantly more data than 'train' (although it contains both test and validation, so one needs to be careful there), it can be u... | {
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https://api.github.com/repos/huggingface/datasets/issues/3668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3668/comments | https://api.github.com/repos/huggingface/datasets/issues/3668/events | https://github.com/huggingface/datasets/issues/3668 | 1,122,261,736 | I_kwDODunzps5C5Fro | 3,668 | Couldn't cast array of type string error with cast_column | {
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"Hi ! I wasn't able to reproduce the error, are you still experiencing this ? I tried calling `cast_column` on a string column containing paths.\r\n\r\nIf you manage to share a reproducible code example that would be perfect",
"Hi,\r\n\r\nI think my team mate got this solved. Clolsing it for now and will reopen i... | 1,643,826,809,000 | 1,644,390,462,000 | 1,644,390,462,000 | NONE | null | null | {
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} | ## Describe the bug
In OVH cloud during Huggingface Robust-speech-recognition event on a AI training notebook instance using jupyter lab and running jupyter notebook When using the dataset.cast_column("audio",Audio(sampling_rate=16_000))
method I get error
![image](https://user-images.githubusercontent.com/25264... | {
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https://api.github.com/repos/huggingface/datasets/issues/3667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3667/comments | https://api.github.com/repos/huggingface/datasets/issues/3667/events | https://github.com/huggingface/datasets/pull/3667 | 1,122,060,630 | PR_kwDODunzps4x-Ujt | 3,667 | Process .opus files with torchaudio | {
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"Note that torchaudio is maybe less practical to use for TF or JAX users.\r\nThis is not in the scope of this PR, but in the future if we manage to find a way to let the user control the decoding it would be nice",
"> Note that torchaudio is maybe less practical to use for TF or JAX users. This is not in the scop... | 1,643,815,394,000 | 1,643,988,578,000 | 1,643,988,578,000 | CONTRIBUTOR | null | true | {
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} | @anton-l suggested to proccess .opus files with `torchaudio` instead of `soundfile` as it's faster:
(moreover, I didn't manage to load .opus files with `soundfile` / `librosa` locally on any my machine an... | {
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https://api.github.com/repos/huggingface/datasets/issues/3666 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3666/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3666/comments | https://api.github.com/repos/huggingface/datasets/issues/3666/events | https://github.com/huggingface/datasets/pull/3666 | 1,122,058,894 | PR_kwDODunzps4x-ULz | 3,666 | Multilingual Spoken Words | {
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"@lhoestq I still have problems with processing `.opus` files with `soundfile` so I actually cannot fully check that it works but it should... Maybe this should be investigated in case of someone else would also have problems with that.\r\n\r\nAlso, as the data is in a private repo on the hub (before we come to a ... | 1,643,815,308,000 | 1,644,600,628,000 | null | CONTRIBUTOR | null | false | {
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} | Add [Multillingual Spoken Words dataset](https://mlcommons.org/en/multilingual-spoken-words/)
You can specify multiple languages for downloading 😌:
```python
ds = load_dataset("datasets/ml_spoken_words", languages=["ar", "tt"])
```
1. I didn't take into account that each time you pass a set of languages the d... | {
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https://api.github.com/repos/huggingface/datasets/issues/3665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3665/comments | https://api.github.com/repos/huggingface/datasets/issues/3665/events | https://github.com/huggingface/datasets/pull/3665 | 1,121,753,385 | PR_kwDODunzps4x9TnU | 3,665 | Fix MP3 resampling when a dataset's audio files have different sampling rates | {
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Fix https://github.com/huggingface/datasets/issues/3662 | {
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https://api.github.com/repos/huggingface/datasets/issues/3664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3664/comments | https://api.github.com/repos/huggingface/datasets/issues/3664/events | https://github.com/huggingface/datasets/pull/3664 | 1,121,233,301 | PR_kwDODunzps4x7mg_ | 3,664 | [WIP] Return local paths to Common Voice | {
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"Cool thanks for giving it a try @anton-l ! \r\n\r\nWould be very much in favor of having \"real\" paths to the audio files again for non-streaming use cases. At the same time it would be nice to make the audio data loading script as understandable as possible so that the community can easily add audio datasets in ... | 1,643,752,107,000 | 1,644,622,328,000 | null | MEMBER | null | false | {
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} | Fixes https://github.com/huggingface/datasets/issues/3663
This is a proposed way of returning the old local file-based generator while keeping the new streaming generator intact.
TODO:
- [ ] brainstorm a bit more on https://github.com/huggingface/datasets/issues/3663 to see if we can do better
- [ ] refactor th... | {
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https://api.github.com/repos/huggingface/datasets/issues/3663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3663/comments | https://api.github.com/repos/huggingface/datasets/issues/3663/events | https://github.com/huggingface/datasets/issues/3663 | 1,121,067,647 | I_kwDODunzps5C0iJ_ | 3,663 | [Audio] Path of Common Voice cannot be used for audio loading anymore | {
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"Having talked to @lhoestq, I see that this feature is no longer supported. \r\n\r\nI really don't think this was a good idea. It is a major breaking change and one for which we don't even have a working solution at the moment, which is bad for PyTorch as we don't want to force people to have `datasets` decode audi... | 1,643,740,810,000 | 1,644,336,318,000 | null | MEMBER | null | null | {
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} | ## Describe the bug
## Steps to reproduce the bug
```python
from datasets import load_dataset
from torchaudio import load
ds = load_dataset("common_voice", "ab", split="train")
# both of the following commands fail at the moment
load(ds[0]["audio"]["path"])
load(ds[0]["path"])
```
## Expected results
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3662/comments | https://api.github.com/repos/huggingface/datasets/issues/3662/events | https://github.com/huggingface/datasets/issues/3662 | 1,121,024,403 | I_kwDODunzps5C0XmT | 3,662 | [Audio] MP3 resampling is incorrect when dataset's audio files have different sampling rates | {
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"Thanks @lhoestq for finding the reason of incorrect resampling. This issue affects all languages which have sound files with different sampling rates such as Turkish and Luganda.",
"@cahya-wirawan - do you know how many languages have different sampling rates in Common Voice? I'm quite surprised to see this for ... | 1,643,738,104,000 | 1,643,799,145,000 | 1,643,799,145,000 | MEMBER | null | null | {
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} | The Audio feature resampler for MP3 gets stuck with the first original frequencies it meets, which leads to subsequent decoding to be incorrect.
Here is a code to reproduce the issue:
Let's first consider two audio files with different sampling rates 32000 and 16000:
```python
# first download a mp3 file with s... | {
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