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https://api.github.com/repos/huggingface/datasets/issues/6026 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6026/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6026/comments | https://api.github.com/repos/huggingface/datasets/issues/6026/events | https://github.com/huggingface/datasets/pull/6026 | 1,802,929,222 | PR_kwDODunzps5VanI8 | 6,026 | Fix style with ruff 0.0.278 | {
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https://api.github.com/repos/huggingface/datasets/issues/6025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6025/comments | https://api.github.com/repos/huggingface/datasets/issues/6025/events | https://github.com/huggingface/datasets/issues/6025 | 1,801,852,601 | I_kwDODunzps5rZha5 | 6,025 | Using a dataset for a use other than it was intended for. | {
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} | null | ### Describe the bug
Hi, I want to use the rotten tomatoes dataset but for a task other than classification, but when I interleave the dataset, it throws ```'ValueError: Column label is not present in features.'```. It seems that the label_col must be there in the dataset for some reason?
Here is the full stacktra... | {
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https://api.github.com/repos/huggingface/datasets/issues/6024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6024/comments | https://api.github.com/repos/huggingface/datasets/issues/6024/events | https://github.com/huggingface/datasets/pull/6024 | 1,801,708,808 | PR_kwDODunzps5VWbGe | 6,024 | Don't reference self in Spark._validate_cache_dir | {
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https://api.github.com/repos/huggingface/datasets/issues/6023 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6023/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6023/comments | https://api.github.com/repos/huggingface/datasets/issues/6023/events | https://github.com/huggingface/datasets/pull/6023 | 1,801,272,420 | PR_kwDODunzps5VU7EG | 6,023 | Fix `ClassLabel` min max check for `None` values | {
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https://api.github.com/repos/huggingface/datasets/issues/6022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6022/comments | https://api.github.com/repos/huggingface/datasets/issues/6022/events | https://github.com/huggingface/datasets/issues/6022 | 1,800,092,589 | I_kwDODunzps5rSzut | 6,022 | Batch map raises TypeError: '>=' not supported between instances of 'NoneType' and 'int' | {
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} | null | ### Describe the bug
When mapping some datasets with `batched=True`, datasets may raise an exeception:
```python
Traceback (most recent call last):
File "/Users/codingl2k1/Work/datasets/venv/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
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https://api.github.com/repos/huggingface/datasets/issues/6021 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6021/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6021/comments | https://api.github.com/repos/huggingface/datasets/issues/6021/events | https://github.com/huggingface/datasets/pull/6021 | 1,799,785,904 | PR_kwDODunzps5VP11Q | 6,021 | [docs] Update return statement of index search | {
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} | null | Clarifies in the return statement of the docstring that the retrieval score is `IndexFlatL2` by default (see [PR](https://github.com/huggingface/transformers/issues/24739) and internal Slack [convo](https://huggingface.slack.com/archives/C01229B19EX/p1689105179711689)), and fixes the formatting because multiple return ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6020 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6020/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6020/comments | https://api.github.com/repos/huggingface/datasets/issues/6020/events | https://github.com/huggingface/datasets/issues/6020 | 1,799,720,536 | I_kwDODunzps5rRY5Y | 6,020 | Inconsistent "The features can't be aligned" error when combining map, multiprocessing, and variable length outputs | {
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I'm using a dataset with map and multiprocessing to run a function that returned a variable length list of outputs. This output list may be empty. Normally this is handled fine, but there is an edge case that crops up when using multiprocessing. In some cases, an empty list result ends up in a dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6019 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6019/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6019/comments | https://api.github.com/repos/huggingface/datasets/issues/6019/events | https://github.com/huggingface/datasets/pull/6019 | 1,799,532,822 | PR_kwDODunzps5VPAlD | 6,019 | Improve logging | {
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(Also removes the `leave=False` arg in the progress bars to be consistent with `hfh` and `transformers` - progress bars serve as... | {
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related to https://github.com/huggingface/datasets/issues/5846 and https://github.com/huggingface/datasets/pull/5919 | {
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https://api.github.com/repos/huggingface/datasets/issues/6016 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6016/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6016/comments | https://api.github.com/repos/huggingface/datasets/issues/6016/events | https://github.com/huggingface/datasets/pull/6016 | 1,798,968,033 | PR_kwDODunzps5VNEvn | 6,016 | Dataset string representation enhancement | {
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not sure if this is the right way to go about it, I will wait for your feedback | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6015 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6015/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6015/comments | https://api.github.com/repos/huggingface/datasets/issues/6015/events | https://github.com/huggingface/datasets/pull/6015 | 1,798,807,893 | PR_kwDODunzps5VMhgB | 6,015 | Add metadata ui screenshot in docs | {
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https://api.github.com/repos/huggingface/datasets/issues/6014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6014/comments | https://api.github.com/repos/huggingface/datasets/issues/6014/events | https://github.com/huggingface/datasets/issues/6014 | 1,798,213,816 | I_kwDODunzps5rLpC4 | 6,014 | Request to Share/Update Dataset Viewer Code | {
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Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | {
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https://api.github.com/repos/huggingface/datasets/issues/6013 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6013/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6013/comments | https://api.github.com/repos/huggingface/datasets/issues/6013/events | https://github.com/huggingface/datasets/issues/6013 | 1,796,083,437 | I_kwDODunzps5rDg7t | 6,013 | [FR] `map` should reuse unchanged columns from the previous dataset to avoid disk usage | {
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"default": fals... | open | false | null | [] | null | [] | 2023-07-10T06:42:20Z | 2023-07-10T15:37:52Z | 1970-01-01T00:00:00 | CONTRIBUTOR | {
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} | null | ### Feature request
Currently adding a new column with `map` will cause all the data in the dataset to be duplicated and stored/cached on the disk again. It should reuse unchanged columns.
### Motivation
This allows having datasets with different columns but sharing some basic columns. Currently, these datasets wou... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6012 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6012/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6012/comments | https://api.github.com/repos/huggingface/datasets/issues/6012/events | https://github.com/huggingface/datasets/issues/6012 | 1,795,575,432 | I_kwDODunzps5rBk6I | 6,012 | [FR] Transform Chaining, Lazy Mapping | {
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} | null | ### Feature request
Currently using a `map` call processes and duplicates the whole dataset, which takes both time and disk space.
The solution is to allow lazy mapping, which is essentially a saved chain of transforms that are applied on the fly whenever a slice of the dataset is requested.
The API should look ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6011/comments | https://api.github.com/repos/huggingface/datasets/issues/6011/events | https://github.com/huggingface/datasets/issues/6011 | 1,795,296,568 | I_kwDODunzps5rAg04 | 6,011 | Documentation: wiki_dpr Dataset has no metric_type for Faiss Index | {
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} | null | ### Describe the bug
After loading `wiki_dpr` using:
```py
ds = load_dataset(path='wiki_dpr', name='psgs_w100.multiset.compressed', split='train')
print(ds.get_index("embeddings").metric_type) # prints nothing because the value is None
```
the index does not have a defined `metric_type`. This is an issue because ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6010 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6010/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6010/comments | https://api.github.com/repos/huggingface/datasets/issues/6010/events | https://github.com/huggingface/datasets/issues/6010 | 1,793,838,152 | I_kwDODunzps5q68xI | 6,010 | Improve `Dataset`'s string representation | {
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} | null | Currently, `Dataset.__repr__` outputs a dataset's column names and the number of rows. We could improve it by printing its features and the first few rows.
We should also implement `_repr_html_` to have a rich HTML representation in notebooks/Streamlit. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6009 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6009/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6009/comments | https://api.github.com/repos/huggingface/datasets/issues/6009/events | https://github.com/huggingface/datasets/pull/6009 | 1,792,059,808 | PR_kwDODunzps5U1mus | 6,009 | Fix cast for dictionaries with no keys | {
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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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} | null | ### 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/6007 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6007/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6007/comments | https://api.github.com/repos/huggingface/datasets/issues/6007/events | https://github.com/huggingface/datasets/issues/6007 | 1,789,782,693 | I_kwDODunzps5qreql | 6,007 | Get an error "OverflowError: Python int too large to convert to C long" when loading a large dataset | {
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When load a large dataset with the following code
```python
from datasets import load_dataset
dataset = load_dataset("liwu/MNBVC", 'news_peoples_daily', split='train')
```
We encountered the error: "OverflowError: Python int too large to convert to C long"
The error look something like... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6006 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6006/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6006/comments | https://api.github.com/repos/huggingface/datasets/issues/6006/events | https://github.com/huggingface/datasets/issues/6006 | 1,788,855,582 | I_kwDODunzps5qn8Ue | 6,006 | NotADirectoryError when loading gigawords | {
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"completed": 0,
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} | null | ### Describe the bug
got `NotADirectoryError` whtn loading gigawords dataset
### Steps to reproduce the bug
When running
```
import datasets
datasets.load_dataset('gigaword')
```
Got the following exception:
```bash
Traceback (most recent call last): ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6005/comments | https://api.github.com/repos/huggingface/datasets/issues/6005/events | https://github.com/huggingface/datasets/pull/6005 | 1,788,103,576 | PR_kwDODunzps5UoJ91 | 6,005 | Drop Python 3.7 support | {
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} | null | `hfh` and `transformers` have dropped Python 3.7 support, so we should do the same :).
(Based on the stats, it seems less than 10% of the users use `datasets` with Python 3.7) | {
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https://api.github.com/repos/huggingface/datasets/issues/6004 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6004/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6004/comments | https://api.github.com/repos/huggingface/datasets/issues/6004/events | https://github.com/huggingface/datasets/pull/6004 | 1,786,636,368 | PR_kwDODunzps5UjN2h | 6,004 | Misc improvements | {
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} | null | Contains the following improvements:
* fixes a "share dataset" link in README and modifies the "hosting" part in the disclaimer section
* updates `Makefile` to also run the style checks on `utils` and `setup.py`
* deletes a test for GH-hosted datasets (no longer supported)
* deletes `convert_dataset.sh` (outdated... | {
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https://api.github.com/repos/huggingface/datasets/issues/6003 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6003/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6003/comments | https://api.github.com/repos/huggingface/datasets/issues/6003/events | https://github.com/huggingface/datasets/issues/6003 | 1,786,554,110 | I_kwDODunzps5qfKb- | 6,003 | interleave_datasets & DataCollatorForLanguageModeling having a conflict ? | {
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} | null | ### Describe the bug
Hi everyone :)
I have two local & custom datasets (1 "sentence" per line) which I split along the 95/5 lines for pre-training a Bert model. I use a modified version of `run_mlm.py` in order to be able to make use of `interleave_dataset`:
- `tokenize()` runs fine
- `group_text()` runs fine
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6002/comments | https://api.github.com/repos/huggingface/datasets/issues/6002/events | https://github.com/huggingface/datasets/pull/6002 | 1,786,053,060 | PR_kwDODunzps5UhP-Z | 6,002 | Add KLUE-MRC metrics | {
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} | null | ## Metrics for KLUE-MRC (Korean Language Understanding Evaluation — Machine Reading Comprehension)
Adding metrics for [KLUE-MRC](https://huggingface.co/datasets/klue).
KLUE-MRC is very similar to SQuAD 2.0 but has a slightly different format which is why I added metrics for KLUE-MRC.
Specifically, in the case of... | {
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https://api.github.com/repos/huggingface/datasets/issues/6001 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6001/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6001/comments | https://api.github.com/repos/huggingface/datasets/issues/6001/events | https://github.com/huggingface/datasets/pull/6001 | 1,782,516,627 | PR_kwDODunzps5UVMMh | 6,001 | Align `column_names` type check with type hint in `sort` | {
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See https://github.com/huggingface/datasets/actions/runs/5401870932/jobs/9812337078 for the errors | {
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https://api.github.com/repos/huggingface/datasets/issues/5999 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5999/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5999/comments | https://api.github.com/repos/huggingface/datasets/issues/5999/events | https://github.com/huggingface/datasets/issues/5999 | 1,781,851,513 | I_kwDODunzps5qNOV5 | 5,999 | Getting a 409 error while loading xglue dataset | {
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"completed": 0,
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} | null | ### Describe the bug
Unable to load xglue dataset
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.load_dataset("xglue", "ntg")
```
> ConnectionError: Couldn't reach https://xglue.blob.core.windows.net/xglue/xglue_full_dataset.tar.gz (error 409)
### Expected behavior
Expected the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5998 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5998/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5998/comments | https://api.github.com/repos/huggingface/datasets/issues/5998/events | https://github.com/huggingface/datasets/issues/5998 | 1,781,805,018 | I_kwDODunzps5qNC_a | 5,998 | The current implementation has a potential bug in the sort method | {
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} | null | ### Describe the bug
In the sort method，here's a piece of code
```python
# column_names: Union[str, Sequence_[str]]
# Check proper format of and for duplicates in column_names
if not isinstance(column_names, list):
column_names = [column_names]
```
I get an error when I pass in a tuple based on the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5997 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5997/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5997/comments | https://api.github.com/repos/huggingface/datasets/issues/5997/events | https://github.com/huggingface/datasets/issues/5997 | 1,781,582,818 | I_kwDODunzps5qMMvi | 5,997 | extend the map function so it can wrap around long text that does not fit in the context window | {
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} | null | ### Feature request
I understand `dataset` provides a [`map`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2849) function. This function in turn takes in a callable that is used to tokenize the text on which a model is trained. Frequently this text will not fit within a models's con... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5995 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5995/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5995/comments | https://api.github.com/repos/huggingface/datasets/issues/5995/events | https://github.com/huggingface/datasets/pull/5995 | 1,777,088,925 | PR_kwDODunzps5UCvYJ | 5,995 | Support returning dataframe in map transform | {
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(Plus, raise an error in the non-batched mode if a returned PyArrow table/Pandas DataFrame has more than one row)
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I also fixed the same issue for `dataset.flatten()`
Close https://github.com/huggingface/datasets/issues/5993 | {
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https://api.github.com/repos/huggingface/datasets/issues/5993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5993/comments | https://api.github.com/repos/huggingface/datasets/issues/5993/events | https://github.com/huggingface/datasets/issues/5993 | 1,776,643,555 | I_kwDODunzps5p5W3j | 5,993 | ValueError: Table schema does not match schema used to create file | {
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} | null | ### Describe the bug
Saving a dataset as parquet fails with a `ValueError: Table schema does not match schema used to create file` if the dataset was obtained out of a `.select_columns()` call with columns selected out of order.
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.Dataset... | {
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Right now we're using our `iflatmap_unordered` implementation for multiprocessing that uses a shared Queue to gather progress updates from the subprocesses and show a progress bar in the main proces... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5989 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5989/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5989/comments | https://api.github.com/repos/huggingface/datasets/issues/5989/events | https://github.com/huggingface/datasets/issues/5989 | 1,774,134,091 | I_kwDODunzps5pvyNL | 5,989 | Set a rule on the config and split names | {
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} | null | > should we actually allow characters like spaces? maybe it's better to add validation for whitespace symbols and directly in datasets and raise
https://github.com/huggingface/datasets-server/issues/853
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https://api.github.com/repos/huggingface/datasets/issues/5988 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5988/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5988/comments | https://api.github.com/repos/huggingface/datasets/issues/5988/events | https://github.com/huggingface/datasets/issues/5988 | 1,773,257,828 | I_kwDODunzps5pscRk | 5,988 | ConnectionError: Couldn't reach dataset_infos.json | {
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} | null | ### Describe the bug
I'm trying to load codeparrot/codeparrot-clean-train, but get the following error:
ConnectionError: Couldn't reach https://huggingface.co/datasets/codeparrot/codeparrot-clean-train/resolve/main/dataset_infos.json (ConnectionError(ProtocolError('Connection aborted.', ConnectionResetError(104, 'C... | {
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https://api.github.com/repos/huggingface/datasets/issues/5987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5987/comments | https://api.github.com/repos/huggingface/datasets/issues/5987/events | https://github.com/huggingface/datasets/issues/5987 | 1,773,047,909 | I_kwDODunzps5prpBl | 5,987 | Why max_shard_size is not supported in load_dataset and passed to download_and_prepare | {
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https://github.com/huggingface/datasets/blob/a8a797cc92e860c8d0df71e0aa826f4d2690713e/src/datasets/load.py#L1809
What I can to is break the `load_dataset` and use `load_datset_builder` + `download_and_prepare` instead.
### Steps to reproduce the bug
https://github.com/huggingface/datasets/blo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5985 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5985/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5985/comments | https://api.github.com/repos/huggingface/datasets/issues/5985/events | https://github.com/huggingface/datasets/issues/5985 | 1,771,588,158 | I_kwDODunzps5pmEo- | 5,985 | Cannot reuse tokenizer object for dataset map | {
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} | null | ### Describe the bug
Related to https://github.com/huggingface/transformers/issues/24441. Not sure if this is a tokenizer issue or caching issue, so filing in both.
Passing the tokenizer to the dataset map function causes the tokenizer to be fingerprinted weirdly. After calling the tokenizer with arguments like pad... | {
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} | null | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5982 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5982/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5982/comments | https://api.github.com/repos/huggingface/datasets/issues/5982/events | https://github.com/huggingface/datasets/issues/5982 | 1,770,333,296 | I_kwDODunzps5phSRw | 5,982 | 404 on Datasets Documentation Page | {
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} | null | ### Describe the bug
Getting a 404 from the Hugging Face Datasets docs page:
https://huggingface.co/docs/datasets/index
### Steps to reproduce the bug
1. Go to URL https://huggingface.co/docs/datasets/index
2. Notice 404 not found
### Expected behavior
URL should either show docs or redirect to new location
#... | {
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https://api.github.com/repos/huggingface/datasets/issues/5981 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5981/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5981/comments | https://api.github.com/repos/huggingface/datasets/issues/5981/events | https://github.com/huggingface/datasets/issues/5981 | 1,770,310,087 | I_kwDODunzps5phMnH | 5,981 | Only two cores are getting used in sagemaker with pytorch 3.10 kernel | {
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} | null | ### Describe the bug
When using the newer pytorch 3.10 kernel, only 2 cores are being used by huggingface filter and map functions. The Pytorch 3.9 kernel would use as many cores as specified in the num_proc field.
We have solved this in our own code by placing the following snippet in the code that is called insi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5980/comments | https://api.github.com/repos/huggingface/datasets/issues/5980/events | https://github.com/huggingface/datasets/issues/5980 | 1,770,255,973 | I_kwDODunzps5pg_Zl | 5,980 | Viewing dataset card returns “502 Bad Gateway” | {
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} | null | The url is: https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams
I am able to successfully view the “Files and versions” tab: [Confirm-Labs/pile_ngrams_trigrams at main](https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams/tree/main)
Any help would be appreciated! Thanks! I hope this is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5976 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5976/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5976/comments | https://api.github.com/repos/huggingface/datasets/issues/5976/events | https://github.com/huggingface/datasets/pull/5976 | 1,768,503,913 | PR_kwDODunzps5TmAFp | 5,976 | Avoid stuck map operation when subprocesses crashes | {
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} | null | I've been using Dataset.map() with `num_proc=os.cpu_count()` to leverage multicore processing for my datasets, but from time to time I get stuck processes waiting forever. Apparently, when one of the subprocesses is abruptly killed (OOM killer, segfault, SIGKILL, etc), the main process keeps waiting for the async task ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5975 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5975/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5975/comments | https://api.github.com/repos/huggingface/datasets/issues/5975/events | https://github.com/huggingface/datasets/issues/5975 | 1,768,271,343 | I_kwDODunzps5pZa3v | 5,975 | Streaming Dataset behind Proxy - FileNotFoundError | {
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} | null | ### Describe the bug
When trying to stream a dataset i get the following error after a few minutes of waiting.
```
FileNotFoundError: https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/data/n_files.json
If the repo is private or gated, make sure to log in with `huggingface-cli login`.
```
I hav... | {
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https://api.github.com/repos/huggingface/datasets/issues/5972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5972/comments | https://api.github.com/repos/huggingface/datasets/issues/5972/events | https://github.com/huggingface/datasets/pull/5972 | 1,767,897,485 | PR_kwDODunzps5TkE7K | 5,972 | Filter unsupported extensions | {
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} | null | I used a regex to filter the data files based on their extension for packaged builders.
I tried and a regex is 10x faster that using `in` to check if the extension is in the list of supported extensions.
Supersedes https://github.com/huggingface/datasets/pull/5850
Close https://github.com/huggingface/datasets/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5971 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5971/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5971/comments | https://api.github.com/repos/huggingface/datasets/issues/5971/events | https://github.com/huggingface/datasets/issues/5971 | 1,767,053,635 | I_kwDODunzps5pUxlD | 5,971 | Docs: make "repository structure" easier to find | {
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It's the simplest way to create a dataset and should be easier to find, particularly on the docs' first pages. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5970 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5970/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5970/comments | https://api.github.com/repos/huggingface/datasets/issues/5970/events | https://github.com/huggingface/datasets/issues/5970 | 1,766,010,356 | I_kwDODunzps5pQy30 | 5,970 | description disappearing from Info when Uploading a Dataset Created with `from_dict` | {
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} | null | ### Describe the bug
When uploading a dataset created locally using `from_dict` with a specified `description` field. It appears before upload, but is missing after upload and re-download.
### Steps to reproduce the bug
I think the most relevant pattern in the code might be the following lines:
```
descr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5969 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5969/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5969/comments | https://api.github.com/repos/huggingface/datasets/issues/5969/events | https://github.com/huggingface/datasets/pull/5969 | 1,765,529,905 | PR_kwDODunzps5Tcgq4 | 5,969 | Add `encoding` and `errors` params to JSON loader | {
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`pd.read_json` also has these parameters, so it makes sense to be consistent. | {
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https://api.github.com/repos/huggingface/datasets/issues/5968 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5968/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5968/comments | https://api.github.com/repos/huggingface/datasets/issues/5968/events | https://github.com/huggingface/datasets/issues/5968 | 1,765,252,561 | I_kwDODunzps5pN53R | 5,968 | Common Voice datasets still need `use_auth_token=True` | {
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} | null | ### Describe the bug
We don't need to pass `use_auth_token=True` anymore to download gated datasets or models, so the following should work if correctly logged in.
```py
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_6_1", "tr", split="train+validation")
```
However it throw... | {
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https://api.github.com/repos/huggingface/datasets/issues/5967 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5967/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5967/comments | https://api.github.com/repos/huggingface/datasets/issues/5967/events | https://github.com/huggingface/datasets/issues/5967 | 1,763,926,520 | I_kwDODunzps5pI2H4 | 5,967 | Config name / split name lost after map with multiproc | {
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} | null | ### Describe the bug
Performing a `.map` method on a dataset loses it's config name / split name only if run with multiproc
### Steps to reproduce the bug
```python
from datasets import Audio, load_dataset
from transformers import AutoFeatureExtractor
import numpy as np
# load dummy dataset
libri = load_datas... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5966 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5966/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5966/comments | https://api.github.com/repos/huggingface/datasets/issues/5966/events | https://github.com/huggingface/datasets/pull/5966 | 1,763,885,914 | PR_kwDODunzps5TXBLP | 5,966 | Fix JSON generation in benchmarks CI | {
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https://api.github.com/repos/huggingface/datasets/issues/5965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5965/comments | https://api.github.com/repos/huggingface/datasets/issues/5965/events | https://github.com/huggingface/datasets/issues/5965 | 1,763,648,540 | I_kwDODunzps5pHyQc | 5,965 | "Couldn't cast array of type" in complex datasets | {
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} | null | ### Describe the bug
When doing a map of a dataset with complex types, sometimes `datasets` is unable to interpret the valid schema of a returned datasets.map() function. This often comes from conflicting types, like when both empty lists and filled lists are competing for the same field value.
This is prone to hap... | {
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https://api.github.com/repos/huggingface/datasets/issues/5964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5964/comments | https://api.github.com/repos/huggingface/datasets/issues/5964/events | https://github.com/huggingface/datasets/pull/5964 | 1,763,513,574 | PR_kwDODunzps5TVweZ | 5,964 | Always return list in `list_datasets` | {
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Plus, deprecate `list_datasets`/`inspect_dataset` in favor of `huggingface_hub.list_datasets`/"git clone workflow" (downloads data files) | {
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https://api.github.com/repos/huggingface/datasets/issues/5963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5963/comments | https://api.github.com/repos/huggingface/datasets/issues/5963/events | https://github.com/huggingface/datasets/issues/5963 | 1,762,774,457 | I_kwDODunzps5pEc25 | 5,963 | Got an error _pickle.PicklingError use Dataset.from_spark. | {
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Got an error _pickle.PicklingError use Dataset.from_spark.
Did the dataset import load data from spark dataframe using multi-node Spark cluster
df = spark.read.parquet(args.input_data).repartition(50)
ds = Dataset.from_spark(df, keep_in_memory=True,
cache_dir="... | {
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https://api.github.com/repos/huggingface/datasets/issues/5962 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5962/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5962/comments | https://api.github.com/repos/huggingface/datasets/issues/5962/events | https://github.com/huggingface/datasets/issues/5962 | 1,761,589,882 | I_kwDODunzps5o_7p6 | 5,962 | Issue with train_test_split maintaining the same underlying PyArrow Table | {
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} | null | ### Describe the bug
I've been using the train_test_split method in the datasets module to split my HuggingFace Dataset into separate training, validation, and testing subsets. However, I've noticed an issue where the split datasets appear to maintain the same underlying PyArrow Table.
### Steps to reproduce the bug
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5961/comments | https://api.github.com/repos/huggingface/datasets/issues/5961/events | https://github.com/huggingface/datasets/issues/5961 | 1,758,525,111 | I_kwDODunzps5o0Pa3 | 5,961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | {
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1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5959/comments | https://api.github.com/repos/huggingface/datasets/issues/5959/events | https://github.com/huggingface/datasets/issues/5959 | 1,757,397,507 | I_kwDODunzps5ov8ID | 5,959 | read metric glue.py from local file | {
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} | null | ### Describe the bug
Currently, The server is off-line. I am using the glue metric from the local file downloaded from the hub.
I download / cached datasets using `load_dataset('glue','sst2', cache_dir='/xxx')` to cache them and then in the off-line mode, I use `load_dataset('xxx/glue.py','sst2', cache_dir='/xxx'... | {
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https://api.github.com/repos/huggingface/datasets/issues/5957 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5957/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5957/comments | https://api.github.com/repos/huggingface/datasets/issues/5957/events | https://github.com/huggingface/datasets/pull/5957 | 1,757,252,466 | PR_kwDODunzps5TA1EB | 5,957 | Release: 2.13.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/5956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5956/comments | https://api.github.com/repos/huggingface/datasets/issues/5956/events | https://github.com/huggingface/datasets/pull/5956 | 1,756,959,367 | PR_kwDODunzps5S_1o2 | 5,956 | Fix ArrowExamplesIterable.shard_data_sources | {
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I also fixed a warning message by not using format_type= in with_format() | {
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https://api.github.com/repos/huggingface/datasets/issues/5955 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5955/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5955/comments | https://api.github.com/repos/huggingface/datasets/issues/5955/events | https://github.com/huggingface/datasets/issues/5955 | 1,756,827,133 | I_kwDODunzps5otw39 | 5,955 | Strange bug in loading local JSON files, using load_dataset | {
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} | null | ### Describe the bug
I am using 'load_dataset 'loads a JSON file, but I found a strange bug: an error will be reported when the length of the JSON file exceeds 160000 (uncertain exact number). I have checked the data through the following code and there are no issues. So I cannot determine the true reason for this err... | {
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https://api.github.com/repos/huggingface/datasets/issues/5954 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5954/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5954/comments | https://api.github.com/repos/huggingface/datasets/issues/5954/events | https://github.com/huggingface/datasets/pull/5954 | 1,756,572,994 | PR_kwDODunzps5S-hSP | 5,954 | Better filenotfound for gated | {
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<img width="1292" alt="image" src="https://github.com/huggingface/datasets/assets/42851186/270fe5bc-1739-4878-b7bc-ab6d35336d4d">
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https://api.github.com/repos/huggingface/datasets/issues/5953 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5953/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5953/comments | https://api.github.com/repos/huggingface/datasets/issues/5953/events | https://github.com/huggingface/datasets/issues/5953 | 1,756,520,523 | I_kwDODunzps5osmBL | 5,953 | Bad error message when trying to download gated dataset | {
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} | null | ### Describe the bug
When I attempt to download a model from the Hub that is gated without being logged in, I get a nice error message. E.g.:
E.g.
```sh
Repository Not Found for url: https://huggingface.co/api/models/DeepFloyd/IF-I-XL-v1.0.
Please make sure you specified the correct `repo_id` and `repo_type`.
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/5951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5951/comments | https://api.github.com/repos/huggingface/datasets/issues/5951/events | https://github.com/huggingface/datasets/issues/5951 | 1,756,363,546 | I_kwDODunzps5or_sa | 5,951 | What is the Right way to use discofuse dataset?? | {
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**Below is the following way, as per my understanding , Is it correct :question: :question:**
The **columns/features from `DiscoFuse dataset`** that will be the **input to the `encoder` and `decoder`** ar... | {
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https://api.github.com/repos/huggingface/datasets/issues/5950 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5950/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5950/comments | https://api.github.com/repos/huggingface/datasets/issues/5950/events | https://github.com/huggingface/datasets/issues/5950 | 1,755,197,946 | I_kwDODunzps5onjH6 | 5,950 | Support for data with instance-wise dictionary as features | {
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} | null | ### Feature request
I notice that when loading data instances with feature type of python dictionary, the dictionary keys would be broadcast so that every instance has the same set of keys. Please see an example in the Motivation section.
It is possible to avoid this behavior, i.e., load dictionary features as it i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5949 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5949/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5949/comments | https://api.github.com/repos/huggingface/datasets/issues/5949/events | https://github.com/huggingface/datasets/pull/5949 | 1,754,843,717 | PR_kwDODunzps5S4oPC | 5,949 | Replace metadata utils with `huggingface_hub`'s RepoCard API | {
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After removing these modules, we can also delete `datasets.utils.resources` since the moon landing repo now stores its own version of these resources f... | {
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https://api.github.com/repos/huggingface/datasets/issues/5948 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5948/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5948/comments | https://api.github.com/repos/huggingface/datasets/issues/5948/events | https://github.com/huggingface/datasets/pull/5948 | 1,754,794,611 | PR_kwDODunzps5S4dUt | 5,948 | Fix sequence of array support for most dtype | {
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Also, a related fix to #5927 | {
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https://api.github.com/repos/huggingface/datasets/issues/5947 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5947/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5947/comments | https://api.github.com/repos/huggingface/datasets/issues/5947/events | https://github.com/huggingface/datasets/issues/5947 | 1,754,359,316 | I_kwDODunzps5okWYU | 5,947 | Return the audio filename when decoding fails due to corrupt files | {
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Return the audio filename when the audio decoding fails. Although currently there are some checks for mp3 and opus formats with the library version there are still cases when the audio decoding could fail, eg. Corrupt file.
### Motivation
When you try to load an object file dataset and the... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5946 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5946/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5946/comments | https://api.github.com/repos/huggingface/datasets/issues/5946/events | https://github.com/huggingface/datasets/issues/5946 | 1,754,234,469 | I_kwDODunzps5oj35l | 5,946 | IndexError Not Solving -> IndexError: Invalid key: ?? is out of bounds for size 0 or ?? | {
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in <cell line: 1>:1 │
│ │
│ /usr/local/lib/python3.10/dist-packages/transformers/trainer.py:1537 in train ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5945/comments | https://api.github.com/repos/huggingface/datasets/issues/5945/events | https://github.com/huggingface/datasets/issues/5945 | 1,754,084,577 | I_kwDODunzps5ojTTh | 5,945 | Failing to upload dataset to the hub | {
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} | null | ### Describe the bug
Trying to upload a dataset of hundreds of thousands of audio samples (the total volume is not very large, 60 gb) to the hub with push_to_hub, it doesn't work.
From time to time one piece of the data (parquet) gets pushed and then I get RemoteDisconnected even though my internet is stable.
Please... | {
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https://api.github.com/repos/huggingface/datasets/issues/5944 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5944/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5944/comments | https://api.github.com/repos/huggingface/datasets/issues/5944/events | https://github.com/huggingface/datasets/pull/5944 | 1,752,882,200 | PR_kwDODunzps5Sx7O4 | 5,944 | Arrow dataset builder to be able to load and stream Arrow datasets | {
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It's related to https://github.com/huggingface/datasets/issues/3035 | {
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https://api.github.com/repos/huggingface/datasets/issues/5942 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5942/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5942/comments | https://api.github.com/repos/huggingface/datasets/issues/5942/events | https://github.com/huggingface/datasets/pull/5942 | 1,752,021,681 | PR_kwDODunzps5Su-V4 | 5,942 | Pass datasets-cli additional args as kwargs to DatasetBuilder in `run_beam.py` | {
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Following this <https://discuss.huggingface.co/t/how-to-preprocess-a-wikipedia-dataset-using-dataflowrunner/41991/3>, here is a simple PR to pass any additional args to datasets-cli as kwargs in the DatasetBuilder in `run_beam.py`.
I also took the liberty to add missing setup steps to the `beam.mdx` docs in o... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5941/comments | https://api.github.com/repos/huggingface/datasets/issues/5941/events | https://github.com/huggingface/datasets/issues/5941 | 1,751,838,897 | I_kwDODunzps5oavCx | 5,941 | Load Data Sets Too Slow In Train Seq2seq Model | {
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step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | {
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https://api.github.com/repos/huggingface/datasets/issues/5990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5990/comments | https://api.github.com/repos/huggingface/datasets/issues/5990/events | https://github.com/huggingface/datasets/issues/5990 | 1,774,389,854 | I_kwDODunzps5pwwpe | 5,990 | Pushing a large dataset on the hub consistently hangs | {
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} | null | ### Describe the bug
Once I have locally built a large dataset that I want to push to hub, I use the recommended approach of .push_to_hub to get the dataset on the hub, and after pushing a few shards, it consistently hangs. This has happened over 40 times over the past week, and despite my best efforts to try and catc... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5939 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5939/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5939/comments | https://api.github.com/repos/huggingface/datasets/issues/5939/events | https://github.com/huggingface/datasets/issues/5939 | 1,749,955,883 | I_kwDODunzps5oTjUr | 5,939 | . | {
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https://api.github.com/repos/huggingface/datasets/issues/5938 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5938/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5938/comments | https://api.github.com/repos/huggingface/datasets/issues/5938/events | https://github.com/huggingface/datasets/pull/5938 | 1,749,462,851 | PR_kwDODunzps5SmbkI | 5,938 | Make get_from_cache use custom temp filename that is locked | {
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} | null | This PR ensures that the temporary filename created is the same as the one that is locked, while writing to the cache.
This PR stops using `tempfile` to generate the temporary filename.
Additionally, the behavior now is aligned for both `resume_download` `True` and `False`.
Refactor temp_file_manager so that i... | {
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https://api.github.com/repos/huggingface/datasets/issues/5937 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5937/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5937/comments | https://api.github.com/repos/huggingface/datasets/issues/5937/events | https://github.com/huggingface/datasets/pull/5937 | 1,749,388,597 | PR_kwDODunzps5SmLIs | 5,937 | Avoid parallel redownload in cache | {
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https://api.github.com/repos/huggingface/datasets/issues/5936 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5936/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5936/comments | https://api.github.com/repos/huggingface/datasets/issues/5936/events | https://github.com/huggingface/datasets/issues/5936 | 1,748,424,388 | I_kwDODunzps5oNtbE | 5,936 | Sequence of array not supported for most dtype | {
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} | null | ### Describe the bug
Create a dataset composed of sequence of array fails for most dtypes (see code below).
### Steps to reproduce the bug
```python
from datasets import Sequence, Array2D, Features, Dataset
import numpy as np
for dtype in [
"bool", # ok
"int8", # failed
"int16", # failed
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5935 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5935/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5935/comments | https://api.github.com/repos/huggingface/datasets/issues/5935/events | https://github.com/huggingface/datasets/pull/5935 | 1,748,090,220 | PR_kwDODunzps5Sh9Mg | 5,935 | Better row group size in push_to_hub | {
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} | null | This is a very simple change that improves `to_parquet` to use a more reasonable row group size for image and audio datasets.
This is especially useful for `push_to_hub` and will provide a better experience with the dataset viewer on HF | {
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https://api.github.com/repos/huggingface/datasets/issues/5934 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5934/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5934/comments | https://api.github.com/repos/huggingface/datasets/issues/5934/events | https://github.com/huggingface/datasets/pull/5934 | 1,747,904,840 | PR_kwDODunzps5ShUxQ | 5,934 | Modify levels of some logging messages | {
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https://api.github.com/repos/huggingface/datasets/issues/5933 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5933/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5933/comments | https://api.github.com/repos/huggingface/datasets/issues/5933/events | https://github.com/huggingface/datasets/pull/5933 | 1,747,382,500 | PR_kwDODunzps5Sfi5J | 5,933 | Fix `to_numpy` when None values in the sequence | {
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I've realized that the error was overlooked during testing due to the presence of only one None value in the sequence.
Unfortunately, it was the only case where the function works as expected. When the sequence contained more than one None value, the function failed. Consequently, I've updated the tests... | {
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https://api.github.com/repos/huggingface/datasets/issues/5932 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5932/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5932/comments | https://api.github.com/repos/huggingface/datasets/issues/5932/events | https://github.com/huggingface/datasets/pull/5932 | 1,746,249,161 | PR_kwDODunzps5Sbrzo | 5,932 | [doc build] Use secrets | {
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https://api.github.com/repos/huggingface/datasets/issues/5931 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5931/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5931/comments | https://api.github.com/repos/huggingface/datasets/issues/5931/events | https://github.com/huggingface/datasets/issues/5931 | 1,745,408,784 | I_kwDODunzps5oCNMQ | 5,931 | `datasets.map` not reusing cached copy by default | {
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} | null | ### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processing it again? The only solution I could think of was... | {
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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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"completed": 0,
"percent_completed": 0,
"total": 0
} | null | ### 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/5929 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5929/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5929/comments | https://api.github.com/repos/huggingface/datasets/issues/5929/events | https://github.com/huggingface/datasets/issues/5929 | 1,744,478,456 | I_kwDODunzps5n-qD4 | 5,929 | Importing PyTorch reduces multiprocessing performance for map | {
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"completed": 0,
"percent_completed": 0,
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} | null | ### Describe the bug
I noticed that the performance of my dataset preprocessing with `map(...,num_proc=32)` decreases when PyTorch is imported.
### Steps to reproduce the bug
I created two example scripts to reproduce this behavior:
```
import datasets
datasets.disable_caching()
from datasets import Da... | {
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https://api.github.com/repos/huggingface/datasets/issues/5928 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5928/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5928/comments | https://api.github.com/repos/huggingface/datasets/issues/5928/events | https://github.com/huggingface/datasets/pull/5928 | 1,744,098,371 | PR_kwDODunzps5SUXPC | 5,928 | Fix link to quickstart docs in README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/5927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5927/comments | https://api.github.com/repos/huggingface/datasets/issues/5927/events | https://github.com/huggingface/datasets/issues/5927 | 1,744,009,032 | I_kwDODunzps5n83dI | 5,927 | `IndexError` when indexing `Sequence` of `Array2D` with `None` values | {
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"completed": 0,
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} | null | ### Describe the bug
Having `None` values in a `Sequence` of `ArrayND` fails.
### Steps to reproduce the bug
```python
from datasets import Array2D, Dataset, Features, Sequence
data = [
[
[[0]],
None,
None,
]
]
feature = Sequence(Array2D((1, 1), dtype="int64"))
dataset =... | {
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https://api.github.com/repos/huggingface/datasets/issues/5926 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5926/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5926/comments | https://api.github.com/repos/huggingface/datasets/issues/5926/events | https://github.com/huggingface/datasets/issues/5926 | 1,743,922,028 | I_kwDODunzps5n8iNs | 5,926 | Uncaught exception when generating the splits from a dataset that miss data | {
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"completed": 0,
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} | null | ### Describe the bug
Dataset https://huggingface.co/datasets/blog_authorship_corpus has an issue with its hosting platform, since https://drive.google.com/u/0/uc?id=1cGy4RNDV87ZHEXbiozABr9gsSrZpPaPz&export=download returns 404 error.
But when trying to generate the split names, we get an exception which is now corr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5925 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5925/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5925/comments | https://api.github.com/repos/huggingface/datasets/issues/5925/events | https://github.com/huggingface/datasets/issues/5925 | 1,741,941,436 | I_kwDODunzps5n0-q8 | 5,925 | Breaking API change in datasets.list_datasets caused by change in HfApi.list_datasets | {
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"completed": 0,
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} | null | ### Describe the bug
Hi all,
after an update of the `datasets` library, we observer crashes in our code. We relied on `datasets.list_datasets` returning a `list`. Now, after the API of the HfApi.list_datasets was changed and it returns a `list` instead of an `Iterable`, the `datasets.list_datasets` now sometimes re... | {
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https://api.github.com/repos/huggingface/datasets/issues/5924 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5924/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5924/comments | https://api.github.com/repos/huggingface/datasets/issues/5924/events | https://github.com/huggingface/datasets/pull/5924 | 1,738,889,236 | PR_kwDODunzps5SCiFv | 5,924 | Add parallel module using joblib for Spark | {
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https://api.github.com/repos/huggingface/datasets/issues/5923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5923/comments | https://api.github.com/repos/huggingface/datasets/issues/5923/events | https://github.com/huggingface/datasets/issues/5923 | 1,737,436,227 | I_kwDODunzps5njyxD | 5,923 | Cannot import datasets - ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility | {
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"completed": 0,
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} | null | ### Describe the bug
When trying to import datasets, I get a pyarrow ValueError:
Traceback (most recent call last):
File "/Users/edward/test/test.py", line 1, in <module>
import datasets
File "/Users/edward/opt/anaconda3/envs/cs235/lib/python3.9/site-packages/datasets/__init__.py", line 43, in <module>... | {
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https://api.github.com/repos/huggingface/datasets/issues/5922 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5922/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5922/comments | https://api.github.com/repos/huggingface/datasets/issues/5922/events | https://github.com/huggingface/datasets/issues/5922 | 1,736,898,953 | I_kwDODunzps5nhvmJ | 5,922 | Length of table does not accurately reflect the split | {
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"completed": 0,
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} | null | ### Describe the bug
I load a Huggingface Dataset and do `train_test_split`. I'm expecting the underlying table for the dataset to also be split, but it's not.
### Steps to reproduce the bug
### Expected behavior... | {
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