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https://api.github.com/repos/huggingface/datasets/issues/6662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6662/comments | https://api.github.com/repos/huggingface/datasets/issues/6662/events | https://github.com/huggingface/datasets/pull/6662 | 2,132,425,812 | PR_kwDODunzps5mwgKP | 6,662 | fix: show correct package name to install biopython | {
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} | When you try to download a dataset that uses [biopython](https://github.com/biopython/biopython), like `load_dataset("InstaDeepAI/multi_species_genomes")`, you get the error:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("InstaDeepAI/multi_species_genomes")
/home/j.vangoey/.pyenv/versions/m... | {
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https://api.github.com/repos/huggingface/datasets/issues/6661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6661/comments | https://api.github.com/repos/huggingface/datasets/issues/6661/events | https://github.com/huggingface/datasets/issues/6661 | 2,132,296,267 | I_kwDODunzps5_GEJL | 6,661 | Import error on Google Colab | {
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"Hi! This can happen if an incompatible `pyarrow` version (`pyarrow<12.0.0`) has been imported before the `datasets` installation and the Colab session hasn't been restarted afterward. To avoid the error, go to \"Runtime -> Restart session\" after `!pip install -U datasets` and before `import datasets`, or insert t... | 2024-02-13T13:12:40 | 2024-02-13T16:59:49 | null | NONE | null | null | ### Describe the bug
Cannot be imported on Google Colab, the import throws the following error:
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
1. `! pip install -U datasets`
2. `import dataset... | {
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} | This PR addresses an issue encountered when utilizing uint16 or uint32 datatypes with datasets, followed by attempting to convert these datasets into PyTorch-compatible formats. Currently, doing so results in a TypeError due to incompatible datatype conversion, as illustrated by the following example:
```python
from ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6659/comments | https://api.github.com/repos/huggingface/datasets/issues/6659/events | https://github.com/huggingface/datasets/pull/6659 | 2,129,229,810 | PR_kwDODunzps5mlmmo | 6,659 | Change default compression argument for JsonDatasetWriter | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6659). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-02-11T23:49:07 | 2024-02-12T20:01:22 | null | NONE | false | {
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} | Change default compression type from `None` to "infer", to align with pandas' defaults.
Documentation asks the user to supply `to_json_kwargs` with arguments suitable for pandas' `to_json` method. At the same time, while pandas' by default uses ["infer"](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.... | {
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https://api.github.com/repos/huggingface/datasets/issues/6658 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6658/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6658/comments | https://api.github.com/repos/huggingface/datasets/issues/6658/events | https://github.com/huggingface/datasets/pull/6658 | 2,129,158,371 | PR_kwDODunzps5mlZyb | 6,658 | [Resumable IterableDataset] Add IterableDataset state_dict | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6658). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-02-11T20:35:52 | 2024-02-12T12:24:32 | null | MEMBER | true | {
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} | A simple implementation of a mechanism to resume an IterableDataset.
This is WIP and untested.
Example:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"a": range(5)}).to_iterable_dataset(num_shards=3)
ds = concatenate_datasets([ds] * 2)
print(f"{ds.state_dict()=}")... | {
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"Thanks for reporting, @atulsaurav.\r\n\r\nWe are investigating the issue. ",
"I can't fix this issue because I do not appear as a team member of the huggingface datasets project: https://anaconda.org/huggingface/datasets\r\n\r\n@lhoestq could you please add `datasets` team members to the corresponding Anaconda p... | 2024-02-11T20:05:17 | 2024-02-12T14:29:36 | null | NONE | null | null | ### Describe the bug
The github actions step to publish the release 2.17.0 to conda channel has failed due to expired token. Can some one please update the anaconda token rerun the failed action? @albertvillanova ?
![image](https://github.com/huggingface/datasets/assets/7138162/1b56ad3d-7643-4778-9cce-4bf531717700... | {
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https://api.github.com/repos/huggingface/datasets/issues/6656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6656/comments | https://api.github.com/repos/huggingface/datasets/issues/6656/events | https://github.com/huggingface/datasets/issues/6656 | 2,127,338,377 | I_kwDODunzps5-zJuJ | 6,656 | Error when loading a big local json file | {
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When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_split_single
writer.write_table(table)
... | {
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"Thanks for reporting, @arame.\r\n\r\nI guess you have an old version of `transformers` (that submodule is present in `transformers` since version 3.0.1, since nearly 4 years ago). If you update it, the error should disappear:\r\n```shell\r\npip install -U transformers\r\n```\r\n\r\nOn the other hand, I am wonderin... | 2024-02-09T12:15:39 | 2024-02-12T09:35:55 | null | NONE | null | null | ### Describe the bug
When I run the following code I get an exception;
`go_emotions = load_dataset("go_emotions")`
> AttributeError Traceback (most recent call last)
Cell In[6], [line 1](vscode-notebook-cell:?execution_count=6&line=1)
----> [1](vscode-notebook-cell:?execution_count=6&l... | {
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"Hi ! This issue has been fixed by https://github.com/huggingface/datasets/pull/6283\r\n\r\nCan you try again with the new release 2.17.0 ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\n",
"Amazing! It's indeed fixed now. Thanks!"
] | 2024-02-09T11:23:19 | 2024-02-12T08:26:53 | 2024-02-12T08:26:53 | NONE | null | null | ### Describe the bug
I encountered a TypeError when batch processing a dataset with Sequence features in datasets package version 2.16.1. The error arises from a mismatch in handling fixed-size list arrays during the map function execution. Debugging pinpoints the issue to an if-statement in datasets/table.py, line 20... | {
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] | open | false | null | [] | [] | 2024-02-09T08:00:21 | 2024-02-09T08:00:21 | null | NONE | null | null | ### Feature request
Support for slice splits in `datasets.load_from_disk`, similar to how it's already supported for `datasets.load_dataset`. See https://www.nature.com/articles/s41551-023-01093-3.
### Motivation
Slice splits are convienient in a numer of cases - adding support to `datasets.load_from_disk` would ma... | {
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https://api.github.com/repos/huggingface/datasets/issues/6650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6650/comments | https://api.github.com/repos/huggingface/datasets/issues/6650/events | https://github.com/huggingface/datasets/issues/6650 | 2,125,680,991 | I_kwDODunzps5-s1Ff | 6,650 | AttributeError: 'InMemoryTable' object has no attribute '_batches' | {
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"Hi! Does running the following code also return the same error on your machine? \r\n\r\n```python\r\nimport copy\r\nimport pyarrow as pa\r\nfrom datasets.table import InMemoryTable\r\n\r\ncopy.deepcopy(InMemoryTable(pa.table({\"a\": [1, 2, 3], \"b\": [\"foo\", \"bar\", \"foobar\"]})))\r\n```",
"No, it doesn't, ... | 2024-02-08T17:11:26 | 2024-02-12T21:13:35 | null | NONE | null | null | ### Describe the bug
```
Traceback (most recent call last):
File "finetune.py", line 103, in <module>
main(args)
File "finetune.py", line 45, in main
data_tokenized = data.map(partial(funcs.tokenize_function, tokenizer,
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/datasets/dataset_dict.... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6647). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> Thanks for adding the explicit loading command.\r\n> \r\n> However, I would move it j... | 2024-02-07T16:18:08 | 2024-02-08T15:34:17 | null | NONE | false | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6646). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
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the previous example was using a model for translation and the way it was setup was not really the right way to use the model. | {
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First, we should address:
- #6644 | {
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"Hi ! make sure your query embeddings are numpy arrays, not torch tensors ;)",
"Hi Quentin, not sure how that solves the problem number 1. I am trying to pass on a dataset with a faiss gpu for training to the standard trainer but getting this serialisation error. What is a workaround this? I do not want to remove... | 2024-02-06T16:41:00 | 2024-02-09T18:40:14 | null | NONE | null | null | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
... | {
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"I see now, that I have to use `load_from_disk`, in order to load dataset properly, not `load_dataset`. Why is this behavior split? Why do we need both, `load_dataset` and `load_from_disk`?\r\n\r\nUnless answered, I believe this might be helpful for other hf datasets newbies.\r\n\r\nAnyway, made a `load_dataset` co... | 2024-02-05T17:28:57 | 2024-02-06T09:50:19 | 2024-02-06T09:50:19 | NONE | null | null | ### Describe the bug
Differently sized object is saved than it is loaded.
### Steps to reproduce the bug
Hi, I save dataset in a following way:
```
dataset = load_dataset("json",
data_files={
"train": os.path.join(input_folder, f"{task_met... | {
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"Hi @Hughhuh. \r\n\r\nI have formatted the issue because it was not easily readable. Additionally, the environment info is incomplete: it seems you did not run the proposed CLI command `datasets-cli env` and essential information is missing: version of `datasets`, version of `pyarrow`,...\r\n\r\nWith the informatio... | 2024-02-04T08:49:31 | 2024-02-06T09:26:07 | 2024-02-06T09:11:45 | NONE | null | null | ### Describe the bug
unicodedecodeerror: 'utf-8' codec can't decode byte 0xac in position 25: invalid start byte
### Steps to reproduce the bug
```
import sys
sys.getdefaultencoding()
'utf-8'
from datasets import load_dataset
print(f"Train dataset size: {len(dataset['train'])}")
print(f"Test datase... | {
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] | open | false | null | [] | [] | 2024-02-02T21:54:51 | 2024-02-02T21:54:51 | null | NONE | null | null | ### Feature request
Currently, there are only several Sign Language labels, I would like to propose adding all the Signed Languages as new labels which are described in this ISO standard: https://www.evertype.com/standards/iso639/sign-language.html
### Motivation
Datasets currently only have labels for several signe... | {
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https://api.github.com/repos/huggingface/datasets/issues/6639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6639/comments | https://api.github.com/repos/huggingface/datasets/issues/6639/events | https://github.com/huggingface/datasets/pull/6639 | 2,114,620,200 | PR_kwDODunzps5l0KPG | 6,639 | Run download_and_prepare if missing splits | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6639). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-02-02T10:36:49 | 2024-02-06T16:54:22 | null | MEMBER | false | {
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https://api.github.com/repos/huggingface/datasets/issues/6638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6638/comments | https://api.github.com/repos/huggingface/datasets/issues/6638/events | https://github.com/huggingface/datasets/issues/6638 | 2,113,329,257 | I_kwDODunzps599thp | 6,638 | Cannot download wmt16 dataset | {
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"Looks like it works with latest datasets repository\r\n```\r\n- `datasets` version: 2.16.2.dev0\r\n- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.29\r\n- Python version: 3.8.10\r\n- `huggingface_hub` version: 0.20.3\r\n- PyArrow version: 15.0.0\r\n- Pandas version: 2.0.1\r\n- `fsspec` version: 2023.10.0\r\... | 2024-02-01T19:41:42 | 2024-02-01T20:07:29 | 2024-02-01T20:07:29 | NONE | null | null | ### Describe the bug
As of this morning (PST) 2/1/2024, seeing the wmt16 dataset is missing from opus , could you suggest an alternative?
```
Downloading data files: 0%| | 0/4 [00:00<?, ?it/s]Tra... | {
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https://api.github.com/repos/huggingface/datasets/issues/6637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6637/comments | https://api.github.com/repos/huggingface/datasets/issues/6637/events | https://github.com/huggingface/datasets/issues/6637 | 2,113,025,975 | I_kwDODunzps598je3 | 6,637 | 'with_format' is extremely slow when used together with 'interleave_datasets' or 'shuffle' on IterableDatasets | {
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"The \"torch\" formatting is usually fast because we do zero-copy conversion from the Arrow data on your disk to Torch tensors. However IterableDataset shuffling seems to do data copies that slow down the pipeline, and it shuffles python objects instead of Arrow data.\r\n\r\nTo fix this we need to implement `Buffer... | 2024-02-01T17:16:54 | 2024-02-05T10:43:47 | null | NONE | null | null | ### Describe the bug
If you:
1. Interleave two iterable datasets together with the interleave_datasets function, or shuffle an iterable dataset
2. Set the output format to torch tensors with .with_format('torch')
Then iterating through the dataset becomes over 100x slower than it is if you don't apply the torch... | {
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https://api.github.com/repos/huggingface/datasets/issues/6636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6636/comments | https://api.github.com/repos/huggingface/datasets/issues/6636/events | https://github.com/huggingface/datasets/pull/6636 | 2,110,781,097 | PR_kwDODunzps5lm4zI | 6,636 | Faster column validation and reordering | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6636). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks @mariosasko, I made the changes. However, I did some tests with `map` and I stil... | 2024-01-31T19:08:28 | 2024-02-07T19:39:00 | 2024-02-06T23:03:38 | CONTRIBUTOR | false | {
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