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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Improve logging | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6019/timeline | Adds the StreamHandler (as `hfh` and `transformers` do) to the library's logger to log INFO messages and logs the messages about "loading a cached result" (and some other warnings) as INFO
(Also removes the `leave=False` arg in the progress bars to be consistent with `hfh` and `transformers` - progress bars serve as... | https://api.github.com/repos/huggingface/datasets | {
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"We no longer host datasets in this repo. You should use the HF Hub instead."
] | null | [] | test1 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6018/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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] | Switch to huggingface_hub's HfFileSystem | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6017/timeline | instead of the current datasets.filesystems.hffilesystem.HfFileSystem which can be slow in some cases
related to https://github.com/huggingface/datasets/issues/5846 and https://github.com/huggingface/datasets/pull/5919 | https://api.github.com/repos/huggingface/datasets | null | 1,799,309,132 | https://api.github.com/repos/huggingface/datasets/issues/6017/comments | I_kwDODunzps5rP0dM | null | 6,017 | https://api.github.com/repos/huggingface/datasets/issues/6017/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6016). All of your documentation changes will be reflected on that endpoint.",
"It we could have something similar to Polars, that would be great.\r\n\r\nThis is what Polars outputs: \r\n* `__repr__`/`__str__` :\r\n```\r\nshape... | null | [] | Dataset string representation enhancement | NONE | https://api.github.com/repos/huggingface/datasets/issues/6016/timeline | my attempt at #6010
not sure if this is the right way to go about it, I will wait for your feedback | https://api.github.com/repos/huggingface/datasets | {
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"... | https://github.com/huggingface/datasets/issues/6014 | [] | false | 2023-09-25T12:01:27Z | 2023-09-25T12:01:17Z | null | [
"Hi ! The huggingface/dataset-viewer code was not maintained anymore because we switched to a new dataset viewer that is deployed available for each dataset the Hugging Face website.\r\n\r\nWhat are you using this old repository for ?",
"I think these parts are outdated:\r\n\r\n* https://github.com/huggingface/da... | completed | [
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] | Request to Share/Update Dataset Viewer Code | NONE | https://api.github.com/repos/huggingface/datasets/issues/6014/timeline |
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... | https://api.github.com/repos/huggingface/datasets | null | 1,798,213,816 | https://api.github.com/repos/huggingface/datasets/issues/6014/comments | I_kwDODunzps5rLpC4 | null | 6,014 | https://api.github.com/repos/huggingface/datasets/issues/6014/events | false |
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"You can use the `remove_columns` parameter in `map` to avoid duplicating the columns (and save disk space) and then concatenate the original dataset with the map result:\r\n```python\r\nfrom datasets import concatenate_datasets\r\n# dummy example\r\nds_new = ds.map(lambda x: {\"new_col\": x[\"col\"] + 2}, remove_c... | null | [
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"default": fals... | [FR] `map` should reuse unchanged columns from the previous dataset to avoid disk usage | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6013/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,796,083,437 | https://api.github.com/repos/huggingface/datasets/issues/6013/comments | I_kwDODunzps5rDg7t | null | 6,013 | https://api.github.com/repos/huggingface/datasets/issues/6013/events | false |
open | 2023-07-09T21:40:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6012 | null | {
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"You can use `with_transform` to get a new dataset object.\r\n\r\nSupport for lazy `map` has already been discussed [here](https://github.com/huggingface/datasets/issues/3385) a little bit. Personally, I'm not a fan, as this would make `map` even more complex. ",
"> You can use `with_transform` to get a new datas... | null | [
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] | [FR] Transform Chaining, Lazy Mapping | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6012/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,795,575,432 | https://api.github.com/repos/huggingface/datasets/issues/6012/comments | I_kwDODunzps5rBk6I | null | 6,012 | https://api.github.com/repos/huggingface/datasets/issues/6012/events | false |
closed | 2023-07-09T08:30:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/6011 | null | {
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"Hi! You can do `ds.get_index(\"embeddings\").faiss_index.metric_type` to get the metric type and then match the result with the FAISS metric [enum](https://github.com/facebookresearch/faiss/blob/43d86e30736ede853c384b24667fc3ab897d6ba9/faiss/MetricType.h#L22-L36) (should be L2).",
"Ah! Thank you for pointing thi... | completed | [] | Documentation: wiki_dpr Dataset has no metric_type for Faiss Index | NONE | https://api.github.com/repos/huggingface/datasets/issues/6011/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,795,296,568 | https://api.github.com/repos/huggingface/datasets/issues/6011/comments | I_kwDODunzps5rAg04 | null | 6,011 | https://api.github.com/repos/huggingface/datasets/issues/6011/events | false |
open | 2023-07-07T16:38:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6010 | null | {
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"I want to take a shot at this if possible ",
"Yes, feel free to work on this.\r\n\r\nYou can check the PyArrow Table `__repr__` and Polars DataFrame `__repr__`/`_repr_html_` implementations for some pointers/ideas.",
"@mariosasko are there any other similar issues that I could work on? I see this has been alr... | null | [
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] | Improve `Dataset`'s string representation | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6010/timeline | 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. | https://api.github.com/repos/huggingface/datasets | null | 1,793,838,152 | https://api.github.com/repos/huggingface/datasets/issues/6010/comments | I_kwDODunzps5q68xI | null | 6,010 | https://api.github.com/repos/huggingface/datasets/issues/6010/events | false |
closed | 2023-07-06T18:48:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6009 | null | {
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"By default, we write data to disk (so it can be memory-mapped) every 1000 rows/samples. You can control this with the `writer_batch_size` parameter. Also, when working with fixed-size arrays, the `ArrayXD` feature types yield better performance (e.g., in your case, `features=datasets.Features({\"i\": datasets.Arra... | completed | [] | Dataset.from_generator consistently freezes at ~1000 rows | NONE | https://api.github.com/repos/huggingface/datasets/issues/6008/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,789,869,344 | https://api.github.com/repos/huggingface/datasets/issues/6008/comments | I_kwDODunzps5qrz0g | null | 6,008 | https://api.github.com/repos/huggingface/datasets/issues/6008/events | false |
open | 2023-07-05T15:16:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/6007 | null | {
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"This error means that one of the int32 (`Value(\"int32\")`) columns in the dataset has a value that is out of the valid (int32) range.\r\n\r\nI'll open a PR to print the name of a problematic column to make debugging such errors easier.",
"I am afraid int32 is not the reason for this error.\r\n\r\nI have submitt... | null | [
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] | Get an error "OverflowError: Python int too large to convert to C long" when loading a large dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6007/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,789,782,693 | https://api.github.com/repos/huggingface/datasets/issues/6007/comments | I_kwDODunzps5qreql | null | 6,007 | https://api.github.com/repos/huggingface/datasets/issues/6007/events | false |
closed | 2023-07-05T06:23:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/6006 | null | {
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"issue due to corrupted download files. resolved after cleaning download cache. sorry for any inconvinence."
] | completed | [] | NotADirectoryError when loading gigawords | NONE | https://api.github.com/repos/huggingface/datasets/issues/6006/timeline | ### 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): ... | https://api.github.com/repos/huggingface/datasets | null | 1,788,855,582 | https://api.github.com/repos/huggingface/datasets/issues/6006/comments | I_kwDODunzps5qn8Ue | null | 6,006 | https://api.github.com/repos/huggingface/datasets/issues/6006/events | false |
closed | 2023-07-04T15:02:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/6005 | null | {
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(Based on the stats, it seems less than 10% of the users use `datasets` with Python 3.7) | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-07-03T18:29:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6004 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Misc improvements | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6004/timeline | 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... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-07-03T17:15:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/6003 | null | {
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... | https://github.com/huggingface/datasets/issues/6003 | [] | false | 2023-07-03T17:15:31Z | null | null | [] | null | [] | interleave_datasets & DataCollatorForLanguageModeling having a conflict ? | NONE | https://api.github.com/repos/huggingface/datasets/issues/6003/timeline | ### 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
... | https://api.github.com/repos/huggingface/datasets | null | 1,786,554,110 | https://api.github.com/repos/huggingface/datasets/issues/6003/comments | I_kwDODunzps5qfKb- | null | 6,003 | https://api.github.com/repos/huggingface/datasets/issues/6003/events | false |
closed | 2023-07-03T12:11:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/6002 | null | {
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"The metrics API in `datasets` is deprecated as of version 2.0, and `evaulate` is our new library for metrics. You can add a new metric to it by following [these steps](https://huggingface.co/docs/evaluate/creating_and_sharing)."
] | null | [] | Add KLUE-MRC metrics | NONE | https://api.github.com/repos/huggingface/datasets/issues/6002/timeline | ## 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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-30T13:15:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/6001 | null | {
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See https://github.com/huggingface/datasets/actions/runs/5401870932/jobs/9812337078 for the errors | https://api.github.com/repos/huggingface/datasets | {
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"Thanks for reporting, @Praful932.\r\n\r\nLet's continue the conversation on the Hub: https://huggingface.co/datasets/xglue/discussions/5"
] | completed | [] | Getting a 409 error while loading xglue dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5999/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,781,851,513 | https://api.github.com/repos/huggingface/datasets/issues/5999/comments | I_kwDODunzps5qNOV5 | null | 5,999 | https://api.github.com/repos/huggingface/datasets/issues/5999/events | false |
closed | 2023-06-30T03:16:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/5998 | null | {
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"Thanks for reporting, @wangyuxinwhy. "
] | completed | [] | The current implementation has a potential bug in the sort method | NONE | https://api.github.com/repos/huggingface/datasets/issues/5998/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,781,805,018 | https://api.github.com/repos/huggingface/datasets/issues/5998/comments | I_kwDODunzps5qNC_a | null | 5,998 | https://api.github.com/repos/huggingface/datasets/issues/5998/events | false |
open | 2023-06-29T22:15:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/5997 | null | {
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"I just noticed the [docs](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L2881C11-L2881C200) say:\r\n\r\n>If batched is `True` and `batch_size` is `n > 1`, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number... | null | [
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] | extend the map function so it can wrap around long text that does not fit in the context window | NONE | https://api.github.com/repos/huggingface/datasets/issues/5997/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,781,582,818 | https://api.github.com/repos/huggingface/datasets/issues/5997/comments | I_kwDODunzps5qMMvi | null | 5,997 | https://api.github.com/repos/huggingface/datasets/issues/5997/events | false |
closed | 2023-06-28T16:26:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/5996 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Deprecate `use_auth_token` in favor of `token` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5996/timeline | ... to be consistent with `transformers` and `huggingface_hub`. | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Support returning dataframe in map transform | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5995/timeline | Allow returning Pandas DataFrames in `map` transforms.
(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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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Fix select_columns columns order | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5994/timeline | Fix the order of the columns in dataset.features when the order changes with `dataset.select_columns()`.
I also fixed the same issue for `dataset.flatten()`
Close https://github.com/huggingface/datasets/issues/5993 | https://api.github.com/repos/huggingface/datasets | {
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"We'll do a new release of `datasets` soon to make the fix available :)\r\n\r\nIn the meantime you can use `datasets` from source (main)",
"Thank you very much @lhoestq ! 🚀 "
] | completed | [] | ValueError: Table schema does not match schema used to create file | NONE | https://api.github.com/repos/huggingface/datasets/issues/5993/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,776,643,555 | https://api.github.com/repos/huggingface/datasets/issues/5993/comments | I_kwDODunzps5p5W3j | null | 5,993 | https://api.github.com/repos/huggingface/datasets/issues/5993/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5992). All of your documentation changes will be reflected on that endpoint."
] | null | [] | speedup | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5992/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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] | `map` with any joblib backend | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5991/timeline | We recently enabled the (experimental) parallel backend switch for data download and extraction but not for `map` yet.
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... | https://api.github.com/repos/huggingface/datasets | null | 1,774,456,518 | https://api.github.com/repos/huggingface/datasets/issues/5991/comments | I_kwDODunzps5pxA7G | null | 5,991 | https://api.github.com/repos/huggingface/datasets/issues/5991/events | false |
open | 2023-06-26T07:34:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/5989 | null | {
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"in this case we need to decide what to do with the existing datasets with white space characters (there shouldn't be a lot of them I think)",
"I imagine that we should stop supporting them, and help the user fix them?",
"See a report where the datasets server fails: https://huggingface.co/datasets/poloclub/dif... | null | [] | Set a rule on the config and split names | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5989/timeline | > 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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closed | 2023-06-25T12:39:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/5988 | null | {
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"Unfortunately, I can't reproduce the error. What does the following code return for you?\r\n```python\r\nimport requests\r\nfrom huggingface_hub import hf_hub_url\r\nr = requests.get(hf_hub_url(\"codeparrot/codeparrot-clean-train\", \"dataset_infos.json\", repo_type=\"dataset\"))\r\n```\r\n\r\nAlso, can you provid... | completed | [] | ConnectionError: Couldn't reach dataset_infos.json | NONE | https://api.github.com/repos/huggingface/datasets/issues/5988/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,773,257,828 | https://api.github.com/repos/huggingface/datasets/issues/5988/comments | I_kwDODunzps5pscRk | null | 5,988 | https://api.github.com/repos/huggingface/datasets/issues/5988/events | false |
closed | 2023-06-25T04:19:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/5987 | null | {
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"Can you explain your use case for `max_shard_size`? \r\n\r\nOn some systems, there is a limit to the size of a memory-mapped file, so we could consider exposing this parameter in `load_dataset`.",
"In my use case, users may choose a proper size to balance the cost and benefit of using large shard size. (On azure... | completed | [] | Why max_shard_size is not supported in load_dataset and passed to download_and_prepare | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5987/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,773,047,909 | https://api.github.com/repos/huggingface/datasets/issues/5987/comments | I_kwDODunzps5prpBl | null | 5,987 | https://api.github.com/repos/huggingface/datasets/issues/5987/events | false |
closed | 2023-06-23T22:18:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/5986 | null | {
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"@lhoestq would you be able to review this please and also approve the workflow?",
"Sounds good to me :) feel free to run `make style` to apply code formatting",
"_The documentation is not available anymore as the PR was closed or merged._",
"cool ! I think we can merge once all comments have been addressed",... | null | [] | Make IterableDataset.from_spark more efficient | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5986/timeline | Moved the code from using collect() to using toLocalIterator, which allows for prefetching partitions that will be selected next, thus allowing for better performance when iterating. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-23T14:45:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/5985 | null | {
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"This is a known issue: https://github.com/huggingface/datasets/issues/3847.\r\n\r\nFixing this requires significant work - rewriting the `tokenizers` lib to make them immutable.\r\n\r\nThe current solution is to pass `cache_file_name` to `map` to use that file for caching or calling a tokenizer before `map` (with ... | completed | [
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] | Cannot reuse tokenizer object for dataset map | NONE | https://api.github.com/repos/huggingface/datasets/issues/5985/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,771,588,158 | https://api.github.com/repos/huggingface/datasets/issues/5985/comments | I_kwDODunzps5pmEo- | null | 5,985 | https://api.github.com/repos/huggingface/datasets/issues/5985/events | false |
open | 2023-06-23T14:34:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/5984 | null | {
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"For this to be possible, we would have to switch from the \"Streaming\" Arrow format to the \"Random Access\" (IPC/Feather) format, which allows reading arbitrary record batches (explained [here](https://arrow.apache.org/docs/python/ipc.html)). We could then use these batches to construct shards.\r\n\r\n@lhoestq @... | null | [
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] | AutoSharding IterableDataset's when num_workers > 1 | NONE | https://api.github.com/repos/huggingface/datasets/issues/5984/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,771,571,458 | https://api.github.com/repos/huggingface/datasets/issues/5984/comments | I_kwDODunzps5pmAkC | null | 5,984 | https://api.github.com/repos/huggingface/datasets/issues/5984/events | false |
closed | 2023-06-23T00:57:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/5983 | null | {
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closed | 2023-06-22T20:14:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/5982 | null | {
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"This wasn’t working for me a bit earlier, but it looks to be back up now",
"We had a minor issue updating the docs after the latest release. It should work now :)."
] | completed | [] | 404 on Datasets Documentation Page | NONE | https://api.github.com/repos/huggingface/datasets/issues/5982/timeline | ### 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
#... | https://api.github.com/repos/huggingface/datasets | null | 1,770,333,296 | https://api.github.com/repos/huggingface/datasets/issues/5982/comments | I_kwDODunzps5phSRw | null | 5,982 | https://api.github.com/repos/huggingface/datasets/issues/5982/events | false |
closed | 2023-06-22T19:57:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/5981 | null | {
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"I think it's more likely that this issue is related to PyTorch than Datasets, as PyTorch (on import) registers functions to execute when forking a process. Maybe this is the culprit: https://github.com/pytorch/pytorch/issues/99625",
"From reading that ticket, it may be down in mkl? Is it worth hotfixing in the ... | completed | [] | Only two cores are getting used in sagemaker with pytorch 3.10 kernel | NONE | https://api.github.com/repos/huggingface/datasets/issues/5981/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,770,310,087 | https://api.github.com/repos/huggingface/datasets/issues/5981/comments | I_kwDODunzps5phMnH | null | 5,981 | https://api.github.com/repos/huggingface/datasets/issues/5981/events | false |
closed | 2023-06-22T19:14:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/5980 | null | {
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"Can you try again? Maybe there was a minor outage.",
"Yes, it seems to be working now. In case it's helpful, the outage lasted several days. It was failing as late as yesterday morning. ",
"we fixed something on the server side, glad it's fixed now"
] | completed | [] | Viewing dataset card returns “502 Bad Gateway” | NONE | https://api.github.com/repos/huggingface/datasets/issues/5980/timeline | 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,770,255,973 | https://api.github.com/repos/huggingface/datasets/issues/5980/comments | I_kwDODunzps5pg_Zl | null | 5,980 | https://api.github.com/repos/huggingface/datasets/issues/5980/events | false |
closed | 2023-06-22T18:32:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/5979 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5979). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | null | [] | set dev version | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5979/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-22T18:23:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/5978 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Release: 2.13.1 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5978/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-21T21:18:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/5976 | null | {
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"Hi ! Do you think this can be fixed at the Pool level ? Ideally it should be the Pool responsibility to handle this, not the `map` code. We could even subclass Pool if needed (at least the one from `multiprocess`)",
"@lhoestq it makes sense to me. Just pushed a refactoring creating a `class ProcessPool(multiproc... | null | [] | Avoid stuck map operation when subprocesses crashes | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5976/timeline | 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 ... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-21T19:10:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/5975 | null | {
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"Duplicate of #",
"Hi ! can you try to set the upper case environment variables `HTTP_PROXY` and `HTTPS_PROXY` ?\r\n\r\nWe use `aiohttp` for streaming and it uses case sensitive environment variables",
"Hi, thanks for the quick reply.\r\n\r\nI set the uppercase env variables with\r\n\r\n`\r\nos.environ['HTTP_PR... | completed | [] | Streaming Dataset behind Proxy - FileNotFoundError | NONE | https://api.github.com/repos/huggingface/datasets/issues/5975/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,768,271,343 | https://api.github.com/repos/huggingface/datasets/issues/5975/comments | I_kwDODunzps5pZa3v | null | 5,975 | https://api.github.com/repos/huggingface/datasets/issues/5975/events | false |
closed | 2023-06-21T16:31:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/5974 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Deprecate `errors` param in favor of `encoding_errors` in text builder | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5974/timeline | For consistency with the JSON builder and Pandas | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-21T15:43:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/5972 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Filter unsupported extensions | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5972/timeline | 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/... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-06-21T08:26:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/5971 | {
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"Loading a local dataset also works the same way when `data_files` are not specified, so I agree we should make this info easier to discover \r\n\r\ncc @stevhliu ",
"Is this issue open? If so, I will self assign. ",
"@benjaminbrown038 Yes, it is. Maybe @stevhliu can give some pointers on improving this doc pag... | null | [
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] | Docs: make "repository structure" easier to find | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5971/timeline | The page https://huggingface.co/docs/datasets/repository_structure explains how to create a simple repository structure without a dataset script.
It's the simplest way to create a dataset and should be easier to find, particularly on the docs' first pages. | https://api.github.com/repos/huggingface/datasets | null | 1,767,053,635 | https://api.github.com/repos/huggingface/datasets/issues/5971/comments | I_kwDODunzps5pUxlD | null | 5,971 | https://api.github.com/repos/huggingface/datasets/issues/5971/events | false |
open | 2023-06-20T19:18:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/5970 | null | {
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"Here's a minimal way to reproduce the bug, for the sake of convenience.\r\n````\r\nfrom datasets import Dataset, DatasetInfo, load_dataset\r\n\r\n\r\nepisodes_dict = {\"test\":[1,2,3],\"test2\": [1,2,4]}\r\n\r\nhugging_face_dataset = Dataset.from_dict(\r\n episodes_dict, info=DatasetInfo(description=\"test_str\... | null | [] | description disappearing from Info when Uploading a Dataset Created with `from_dict` | NONE | https://api.github.com/repos/huggingface/datasets/issues/5970/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,766,010,356 | https://api.github.com/repos/huggingface/datasets/issues/5970/comments | I_kwDODunzps5pQy30 | null | 5,970 | https://api.github.com/repos/huggingface/datasets/issues/5970/events | false |
closed | 2023-06-20T14:28:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/5969 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Add `encoding` and `errors` params to JSON loader | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5969/timeline | "Requested" in https://discuss.huggingface.co/t/utf-16-for-datasets/43828/3.
`pd.read_json` also has these parameters, so it makes sense to be consistent. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-20T11:58:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/5968 | null | {
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"cc @pcuenca as well. \r\n\r\nNot super urgent btw",
"The issue commes from the dataset itself and is not related to the `datasets` lib\r\n\r\nsee https://huggingface.co/datasets/mozilla-foundation/common_voice_6_1/blob/2c475b3b88e0f2e5828f830a4b91618a25ff20b7/common_voice_6_1.py#L148-L152",
"Let's remove these... | completed | [] | Common Voice datasets still need `use_auth_token=True` | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5968/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,765,252,561 | https://api.github.com/repos/huggingface/datasets/issues/5968/comments | I_kwDODunzps5pN53R | null | 5,968 | https://api.github.com/repos/huggingface/datasets/issues/5968/events | false |
open | 2023-06-19T17:27:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/5967 | null | {
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"This must be due to DatasetInfo.from_merge which drops them and is used in `concatenate_datasets`.\r\n\r\nAnd you're experiencing this issue because multiprocessing does concatenate the resulting datasets from each process.\r\n\r\nMaybe they should be kept if all the subdatasets share the same values for config_na... | null | [] | Config name / split name lost after map with multiproc | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5967/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,763,926,520 | https://api.github.com/repos/huggingface/datasets/issues/5967/comments | I_kwDODunzps5pI2H4 | null | 5,967 | https://api.github.com/repos/huggingface/datasets/issues/5967/events | false |
closed | 2023-06-19T16:56:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/5966 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Fix JSON generation in benchmarks CI | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5966/timeline | Related to changes made in https://github.com/iterative/dvc/pull/9475 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-19T14:16:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/5965 | {
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"Thanks for reporting! \r\n\r\nSpecifying the target features explicitly should avoid this error:\r\n```python\r\ndataset = dataset.map(\r\n batch_process,\r\n batched=True,\r\n batch_size=1,\r\n num_proc=1,\r\n remove_columns=dataset.column_names,\r\n features=datasets.Features({\"texts\": datase... | completed | [] | "Couldn't cast array of type" in complex datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/5965/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,763,648,540 | https://api.github.com/repos/huggingface/datasets/issues/5965/comments | I_kwDODunzps5pHyQc | null | 5,965 | https://api.github.com/repos/huggingface/datasets/issues/5965/events | false |
closed | 2023-06-19T13:07:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/5964 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Always return list in `list_datasets` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5964/timeline | Fix #5925
Plus, deprecate `list_datasets`/`inspect_dataset` in favor of `huggingface_hub.list_datasets`/"git clone workflow" (downloads data files) | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-19T05:30:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/5963 | null | {
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"i got error using method from_spark when using multi-node Spark cluster. seems could only use \"from_spark\" in local?",
"@lhoestq ",
"cc @maddiedawson it looks like there an issue with `_validate_cache_dir` ?\r\n\r\nIt looks like the function passed to mapPartitions has a reference to the Spark dataset build... | completed | [] | Got an error _pickle.PicklingError use Dataset.from_spark. | NONE | https://api.github.com/repos/huggingface/datasets/issues/5963/timeline | python 3.9.2
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="... | https://api.github.com/repos/huggingface/datasets | null | 1,762,774,457 | https://api.github.com/repos/huggingface/datasets/issues/5963/comments | I_kwDODunzps5pEc25 | null | 5,963 | https://api.github.com/repos/huggingface/datasets/issues/5963/events | false |
open | 2023-06-17T02:19:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/5962 | null | {
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"gists_url": "https:... | https://github.com/huggingface/datasets/issues/5962 | [] | false | 2023-06-17T02:19:58Z | null | null | [] | null | [] | Issue with train_test_split maintaining the same underlying PyArrow Table | NONE | https://api.github.com/repos/huggingface/datasets/issues/5962/timeline | ### 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
... | https://api.github.com/repos/huggingface/datasets | null | 1,761,589,882 | https://api.github.com/repos/huggingface/datasets/issues/5962/comments | I_kwDODunzps5o_7p6 | null | 5,962 | https://api.github.com/repos/huggingface/datasets/issues/5962/events | false |
open | 2023-06-15T10:29:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/5961 | null | {
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"Does \"number of shards\" refer to the total number of data?\r\n\r\nmy config:\r\nnproc_per_node=2\r\nds=ds['train'] = load_dataset(streaming=True).take(50000)\r\n\r\nI'm test again: in prepare_data(), data have the same for each GPU\r\n",
"The number of shards is `ds.n_shards`. It corresponds generally to the ... | null | [] | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | NONE | https://api.github.com/repos/huggingface/datasets/issues/5961/timeline | There are two ways an iterable dataset can be split by node:
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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,758,525,111 | https://api.github.com/repos/huggingface/datasets/issues/5961/comments | I_kwDODunzps5o0Pa3 | null | 5,961 | https://api.github.com/repos/huggingface/datasets/issues/5961/events | false |
closed | 2023-06-14T17:59:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/5959 | null | {
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"Sorry, I solve this by call `evaluate.load('glue_metric.py','sst-2')`\r\n"
] | completed | [] | read metric glue.py from local file | NONE | https://api.github.com/repos/huggingface/datasets/issues/5959/timeline | ### 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'... | https://api.github.com/repos/huggingface/datasets | null | 1,757,397,507 | https://api.github.com/repos/huggingface/datasets/issues/5959/comments | I_kwDODunzps5ov8ID | null | 5,959 | https://api.github.com/repos/huggingface/datasets/issues/5959/events | false |
closed | 2023-06-14T16:26:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5958 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5958). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | null | [] | set dev version | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5958/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-14T16:17:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/5957 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Release: 2.13.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5957/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix ArrowExamplesIterable.shard_data_sources | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5956/timeline | ArrowExamplesIterable.shard_data_sources was outdated
I also fixed a warning message by not using format_type= in with_format() | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-14T12:46:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/5955 | null | {
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"This is the actual error:\r\n```\r\nFailed to read file '/home/lakala/hjc/code/pycode/glm/temp.json' with error <class 'pyarrow.lib.ArrowInvalid'>: cannot mix list and non-list, non-null values\r\n```\r\nWhich means some samples are incorrectly formatted.\r\n\r\nPyArrow, a storage backend that we use under the hoo... | completed | [] | Strange bug in loading local JSON files, using load_dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5955/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,756,827,133 | https://api.github.com/repos/huggingface/datasets/issues/5955/comments | I_kwDODunzps5otw39 | null | 5,955 | https://api.github.com/repos/huggingface/datasets/issues/5955/events | false |
closed | 2023-06-14T10:33:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/5954 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Better filenotfound for gated | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5954/timeline | close https://github.com/huggingface/datasets/issues/5953
<img width="1292" alt="image" src="https://github.com/huggingface/datasets/assets/42851186/270fe5bc-1739-4878-b7bc-ab6d35336d4d">
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closed | 2023-06-14T10:03:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/5953 | null | {
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"cc @sanchit-gandhi @Vaibhavs10 @lhoestq - this is mainly for demos that use Common Voice datasets as done here: https://github.com/facebookresearch/fairseq/tree/main/examples/mms#-transformers\r\n",
"Hi ! the error for me is\r\n\r\n```\r\nFileNotFoundError: Couldn't find a dataset script at /content/mozilla-foun... | completed | [] | Bad error message when trying to download gated dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5953/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,756,520,523 | https://api.github.com/repos/huggingface/datasets/issues/5953/comments | I_kwDODunzps5osmBL | null | 5,953 | https://api.github.com/repos/huggingface/datasets/issues/5953/events | false |
closed | 2023-06-14T09:42:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/5952 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Add Arrow builder docs | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5952/timeline | following https://github.com/huggingface/datasets/pull/5944 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-14T08:38:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/5951 | null | {
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"Thanks for opening https://huggingface.co/datasets/discofuse/discussions/3, let's continue the discussion over there if you don't mind",
"I have posted there also sir, please check\r\n@lhoestq"
] | completed | [] | What is the Right way to use discofuse dataset?? | NONE | https://api.github.com/repos/huggingface/datasets/issues/5951/timeline | [Click here for Dataset link](https://huggingface.co/datasets/discofuse/viewer/discofuse-wikipedia/train?row=6)
**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... | https://api.github.com/repos/huggingface/datasets | null | 1,756,363,546 | https://api.github.com/repos/huggingface/datasets/issues/5951/comments | I_kwDODunzps5or_sa | null | 5,951 | https://api.github.com/repos/huggingface/datasets/issues/5951/events | false |
open | 2023-06-13T15:49:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/5950 | null | {
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"Hi ! We use the Arrow columnar format under the hood, which doesn't support such dictionaries: each field must have a fixed type and exist in each sample.\r\n\r\nInstead you can restructure your data like\r\n```\r\n{\r\n \"index\": 0,\r\n \"keys\": [\"2 * x + y >= 3\"],\r\n \"values\": [[\"2 * x + y >= 3\... | null | [
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] | Support for data with instance-wise dictionary as features | NONE | https://api.github.com/repos/huggingface/datasets/issues/5950/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,755,197,946 | https://api.github.com/repos/huggingface/datasets/issues/5950/comments | I_kwDODunzps5onjH6 | null | 5,950 | https://api.github.com/repos/huggingface/datasets/issues/5950/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Replace metadata utils with `huggingface_hub`'s RepoCard API | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5949/timeline | Use `huggingface_hub`'s RepoCard API instead of `DatasetMetadata` for modifying the card's YAML, and deprecate `datasets.utils.metadata` and `datasets.utils.readme`.
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... | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix sequence of array support for most dtype | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5948/timeline | Fixes #5936
Also, a related fix to #5927 | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-06-13T08:44:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/5947 | null | {
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"Hi ! The audio data don't always exist as files on disk - the blobs are often stored in the Arrow files. For now I'd suggest disabling decoding with `.cast_column(\"audio\", Audio(decode=False))` and apply your own decoding that handles corrupted files (maybe to filter them out ?)\r\n\r\ncc @sanchit-gandhi since i... | null | [
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] | Return the audio filename when decoding fails due to corrupt files | NONE | https://api.github.com/repos/huggingface/datasets/issues/5947/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,754,359,316 | https://api.github.com/repos/huggingface/datasets/issues/5947/comments | I_kwDODunzps5okWYU | null | 5,947 | https://api.github.com/repos/huggingface/datasets/issues/5947/events | false |
open | 2023-06-13T07:34:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/5946 | null | {
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"https://colab.research.google.com/#scrollTo=AQ_HCYruWIHU&fileId=https%3A//huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb\r\n\r\nI ran the same administration exactly the same but got the same error",
"Looks related to https://discuss.huggingface.co/t/indexer... | null | [] | IndexError Not Solving -> IndexError: Invalid key: ?? is out of bounds for size 0 or ?? | NONE | https://api.github.com/repos/huggingface/datasets/issues/5946/timeline | ### Describe the bug
in <cell line: 1>:1 │
│ │
│ /usr/local/lib/python3.10/dist-packages/transformers/trainer.py:1537 in train ... | https://api.github.com/repos/huggingface/datasets | null | 1,754,234,469 | https://api.github.com/repos/huggingface/datasets/issues/5946/comments | I_kwDODunzps5oj35l | null | 5,946 | https://api.github.com/repos/huggingface/datasets/issues/5946/events | false |
closed | 2023-06-13T05:46:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/5945 | null | {
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"Hi ! Feel free to re-run your code later, it will resume automatically where you left",
"Tried many times in the last 2 weeks, problem remains.",
"Alternatively you can save your dataset in parquet files locally and upload them to the hub manually\r\n\r\n```python\r\nfrom tqdm import tqdm\r\nnum_shards = 60\r\... | completed | [] | Failing to upload dataset to the hub | NONE | https://api.github.com/repos/huggingface/datasets/issues/5945/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,754,084,577 | https://api.github.com/repos/huggingface/datasets/issues/5945/comments | I_kwDODunzps5ojTTh | null | 5,945 | https://api.github.com/repos/huggingface/datasets/issues/5945/events | false |
closed | 2023-06-12T14:21:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/5944 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq tips applied. Thanks for a review. :smile: It's a lot of fun to improve this project. ",
"Let's add some documentation in a subsequent PR :)\r\n\r\nIn particular @mariosasko and I think it's important to note to users tha... | null | [] | Arrow dataset builder to be able to load and stream Arrow datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5944/timeline | This adds a Arrow dataset builder to be able to load and stream from already preprocessed Arrow files.
It's related to https://github.com/huggingface/datasets/issues/3035 | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-06-12T06:50:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/5942 | null | {
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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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-12T03:58:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/5941 | null | {
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"Hi ! you can speed it up using multiprocessing by passing `num_proc=` to `load_dataset()`",
"already did，but not useful for step Generating train split，it works in step \"Resolving data files\" & \"Downloading data files\" ",
"@mariosasko some advice ， thanks！",
"I met the same problem, terrible experience... | completed | [] | Load Data Sets Too Slow In Train Seq2seq Model | NONE | https://api.github.com/repos/huggingface/datasets/issues/5941/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,751,838,897 | https://api.github.com/repos/huggingface/datasets/issues/5941/comments | I_kwDODunzps5oavCx | null | 5,941 | https://api.github.com/repos/huggingface/datasets/issues/5941/events | false |
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"Hi @AntreasAntoniou , sorry to know you are facing this issue. To help debugging it, could you tell me:\r\n- What is the total dataset size?\r\n- Is it always failing on the same shard or is the hanging problem happening randomly?\r\n- Were you able to save the dataset as parquet locally? This would help us determ... | null | [
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] | Pushing a large dataset on the hub consistently hangs | NONE | https://api.github.com/repos/huggingface/datasets/issues/5990/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,774,389,854 | https://api.github.com/repos/huggingface/datasets/issues/5990/comments | I_kwDODunzps5pwwpe | null | 5,990 | https://api.github.com/repos/huggingface/datasets/issues/5990/events | false |
closed | 2023-06-09T14:01:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/5939 | null | {
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closed | 2023-06-09T09:01:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/5938 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Make get_from_cache use custom temp filename that is locked | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5938/timeline | 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... | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Avoid parallel redownload in cache | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5937/timeline | Avoid parallel redownload in cache by retrying inside the lock if path exists. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-08T18:18:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/5936 | null | {
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"Related, `float16` is the only dtype not supported by `Array2D` (probably by every `ArrayND`):\r\n\r\n```python\r\nfrom datasets import Array2D, Features, Dataset\r\n\r\nimport numpy as np\r\n\r\nfor dtype in [\r\n \"bool\", # ok\r\n \"int8\", # ok\r\n \"int16\", # ok\r\n \"int32\", # ok\r\n \"i... | completed | [] | Sequence of array not supported for most dtype | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5936/timeline | ### 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
... | https://api.github.com/repos/huggingface/datasets | null | 1,748,424,388 | https://api.github.com/repos/huggingface/datasets/issues/5936/comments | I_kwDODunzps5oNtbE | null | 5,936 | https://api.github.com/repos/huggingface/datasets/issues/5936/events | false |
closed | 2023-06-08T15:01:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/5935 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Better row group size in push_to_hub | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5935/timeline | 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 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-08T13:31:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/5934 | null | {
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"I've addressed this as part of #6019, so feel free to close this PR. ",
"Thanks !"
] | null | [] | Modify levels of some logging messages | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5934/timeline | Some warning messages didn't quite sound like warnings so I modified their logging levels to info. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-08T08:38:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/5933 | null | {
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"I just added the same test with dynamic shape",
"_The documentation is not available anymore as the PR was closed or merged._",
"Awesome ! I'm merging now if you don't mind :)\r\nWe should probably give you permissions to merge your own PRs when you have an approval",
"<details>\n<summary>Show benchmarks</su... | null | [] | Fix `to_numpy` when None values in the sequence | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5933/timeline | Closes #5927
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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-07T16:09:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/5932 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | [doc build] Use secrets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5932/timeline | Companion pr to https://github.com/huggingface/doc-builder/pull/379 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-07T09:03:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/5931 | null | {
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"This can happen when a map transform cannot be hashed deterministically (e.g., an object referenced by the transform changes its state after the first call - an issue with fast tokenizers). The solution is to provide `cache_file_name` in the `map` call to check this file for the cached result instead of relying on... | completed | [] | `datasets.map` not reusing cached copy by default | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5931/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,745,408,784 | https://api.github.com/repos/huggingface/datasets/issues/5931/comments | I_kwDODunzps5oCNMQ | null | 5,931 | https://api.github.com/repos/huggingface/datasets/issues/5931/events | false |
closed | 2023-06-07T06:58:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/5930 | null | {
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"This issue seems to have been resolved, so I'm closing it."
] | completed | [] | loading private custom dataset script - authentication error | NONE | https://api.github.com/repos/huggingface/datasets/issues/5930/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,745,184,395 | https://api.github.com/repos/huggingface/datasets/issues/5930/comments | I_kwDODunzps5oBWaL | null | 5,930 | https://api.github.com/repos/huggingface/datasets/issues/5930/events | false |
closed | 2023-06-06T19:42:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/5929 | null | {
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"Hi! The times match when I run this code locally or on Colab.\r\n\r\nAlso, we use `multiprocess`, not `multiprocessing`, for parallelization, and torch's `__init__.py` (executed on `import torch` ) slightly modifies the latter.",
"Hey Mariosasko,\r\n\r\nThanks for looking into it. We further did some investigati... | completed | [] | Importing PyTorch reduces multiprocessing performance for map | NONE | https://api.github.com/repos/huggingface/datasets/issues/5929/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,744,478,456 | https://api.github.com/repos/huggingface/datasets/issues/5929/comments | I_kwDODunzps5n-qD4 | null | 5,929 | https://api.github.com/repos/huggingface/datasets/issues/5929/events | false |
closed | 2023-06-06T15:23:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/5928 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix link to quickstart docs in README.md | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5928/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-06T14:36:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/5927 | null | {
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"Easy fix would be to add:\r\n\r\n```python\r\nnull_indices -= np.arange(len(null_indices))\r\n```\r\n\r\nbefore L279, but I'm not sure it's the most intuitive way to fix it.",
"Same issue here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/7fcbe5b1575c8d162b65b9397b3dfda995a4e048/src/datasets/features/feat... | completed | [] | `IndexError` when indexing `Sequence` of `Array2D` with `None` values | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5927/timeline | ### 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 =... | https://api.github.com/repos/huggingface/datasets | null | 1,744,009,032 | https://api.github.com/repos/huggingface/datasets/issues/5927/comments | I_kwDODunzps5n83dI | null | 5,927 | https://api.github.com/repos/huggingface/datasets/issues/5927/events | false |
open | 2023-06-06T13:51:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/5926 | {
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"Thanks for reporting, @severo.\r\n\r\nThis is a known issue with `fsspec`:\r\n- #5862\r\n- https://github.com/fsspec/filesystem_spec/issues/1265"
] | null | [] | Uncaught exception when generating the splits from a dataset that miss data | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5926/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,743,922,028 | https://api.github.com/repos/huggingface/datasets/issues/5926/comments | I_kwDODunzps5n8iNs | null | 5,926 | https://api.github.com/repos/huggingface/datasets/issues/5926/events | false |
closed | 2023-06-05T14:46:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/5925 | null | {
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"gists_url": "https:... | https://github.com/huggingface/datasets/issues/5925 | [] | false | 2023-06-19T17:22:43Z | 2023-06-19T17:22:43Z | null | [] | completed | [] | Breaking API change in datasets.list_datasets caused by change in HfApi.list_datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/5925/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,741,941,436 | https://api.github.com/repos/huggingface/datasets/issues/5925/comments | I_kwDODunzps5n0-q8 | null | 5,925 | https://api.github.com/repos/huggingface/datasets/issues/5925/events | false |
closed | 2023-06-02T22:25:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/5924 | null | {
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"Hi @lhoestq, I added the `parallel` part according to the discussion we had. Could you take a look to see if this is aligned with your proposal?\r\n\r\nMeanwhile I'm working on adding a `parallel_backend` parameter to `load_datasets` so that it can be used like:\r\n```python\r\nwith parallel_backend('spark', steps... | null | [] | Add parallel module using joblib for Spark | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5924/timeline | Discussion in https://github.com/huggingface/datasets/issues/5798 | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-06-02T04:16:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/5923 | null | {
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"Based on https://github.com/rapidsai/cudf/issues/10187, this probably means your `pyarrow` installation is not compatible with `datasets`.\r\n\r\nCan you please execute the following commands in the terminal and paste the output here?\r\n```\r\nconda list | grep arrow\r\n``` \r\n```\r\npython -c \"import pyarrow; ... | null | [] | Cannot import datasets - ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility | NONE | https://api.github.com/repos/huggingface/datasets/issues/5923/timeline | ### 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>... | https://api.github.com/repos/huggingface/datasets | null | 1,737,436,227 | https://api.github.com/repos/huggingface/datasets/issues/5923/comments | I_kwDODunzps5njyxD | null | 5,923 | https://api.github.com/repos/huggingface/datasets/issues/5923/events | false |
closed | 2023-06-01T18:56:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/5922 | null | {
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"As already replied by @lhoestq (private channel):\r\n> `.train_test_split` (as well as `.shard`, `.select`) doesn't create a new arrow table to save time and disk space. Instead, it uses an indices mapping on top of the table that locate which examples are part of train or test.",
"This is an optimization that w... | completed | [
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] | Length of table does not accurately reflect the split | NONE | https://api.github.com/repos/huggingface/datasets/issues/5922/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,736,898,953 | https://api.github.com/repos/huggingface/datasets/issues/5922/comments | I_kwDODunzps5nhvmJ | null | 5,922 | https://api.github.com/repos/huggingface/datasets/issues/5922/events | false |
closed | 2023-06-01T15:23:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/5921 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix streaming parquet with image feature in schema | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5921/timeline | It was not reading the feature type from the parquet arrow schema | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-01T12:14:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/5920 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Optimize IterableDataset.from_file using ArrowExamplesIterable | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5920/timeline | following https://github.com/huggingface/datasets/pull/5893 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-06-01T05:52:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/5919 | null | {
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"hi @lhoestq,\r\nI saw some errors in my test and found all the failed reasons are `FileNotFoundError` about `test_load_streaming_private_dataset_with_zipped_data` and `test_load_dataset_private_zipped_images` in `test_load.py `, I run pytest on my own Wins and Ubuntu system all the test in `test_load.py ` are suc... | null | [] | add support for storage_options for load_dataset API | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/5919/timeline | to solve the issue in #5880
1. add s3 support in the link check step, previous we only check `http` and `https`,
2. change the parameter of `use_auth_token` to `download_config` to support both `storage_options` and `use_auth_token` parameter when trying to handle(list, open, read, etc,.) the remote files.
3... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-06-01T02:15:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/5918 | null | {
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"load_dataset () did not work for loading local files either "
] | null | [] | File not found for audio dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/5918/timeline | ### Describe the bug
After loading an audio dataset, and looking at a sample entry, the `path` element, which is supposed to be the path to the audio file, doesn't actually exist.
### Steps to reproduce the bug
Run bug.py:
```py
import os.path
from datasets import load_dataset
def run() -> None:
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closed | 2023-05-31T08:33:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/5917 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Refactor extensions | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/5917/timeline | Related to:
- #5850 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-05-30T14:59:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/5916 | null | {
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closed | 2023-05-30T14:27:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/5915 | null | {
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Fix #5874 | https://api.github.com/repos/huggingface/datasets | {
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