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https://github.com/huggingface/datasets/pull/5569 | 5,569 | pass the dataset features to the IterableDataset.from_generator function | {
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https://github.com/huggingface/datasets/issues/5568 | 5,568 | dataset.to_iterable_dataset() loses useful info like dataset features | {
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"Hi ! Oh good catch. I think the features should be passed to `IterableDataset.from_generator()` in `to_iterable_dataset()` indeed.\r\n\r\nSetting this as a good first issue if someone would like to contribute, otherwise we can take care of it :)",
"#self-assign",
"seems like the feature parameter is missing fr... | 2023-02-23T13:45:33Z | 2023-02-24T13:22:36Z | 2023-02-24T13:22:36Z | CONTRIBUTOR | null | null | ### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata like the features.
These metadata are useful if you want to interleav... | {
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https://github.com/huggingface/datasets/issues/5566 | 5,566 | Directly reading parquet files in a s3 bucket from the load_dataset method | {
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"Hi ! I think is in the scope of this other issue: to https://github.com/huggingface/datasets/issues/5281 "
] | 2023-02-22T22:13:40Z | 2023-02-23T11:03:29Z | null | NONE | null | null | ### Feature request
Right now, we have to read the get the parquet file to the local storage. So having ability to read given the bucket directly address would be benificial
### Motivation
In a production set up, this feature can help us a lot. So we do not need move training datafiles in between storage.
### Yo... | null | {
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https://github.com/huggingface/datasets/pull/5565 | 5,565 | Add writer_batch_size for ArrowBasedBuilder | {
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This can be useful for `datasets-server` to keep control of the row groups size which can affect random access performance for audio/image/video datasets
Right now having 1,000 examples per row group cause some image dataset... | {
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https://github.com/huggingface/datasets/pull/5564 | 5,564 | Set dev version | {
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https://github.com/huggingface/datasets/pull/5563 | 5,563 | Release: 2.10.0 | {
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https://github.com/huggingface/datasets/pull/5562 | 5,562 | Update csv.py | {
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"Removed it :)",
"Changed it :)",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Removed mangle_dup_cols=True from BuilderConfig.
It triggered following deprecation warning:
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https://github.com/huggingface/datasets/pull/5561 | 5,561 | Add pre-commit config yaml file to enable automatic code formatting | {
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"@Skylion007 hi! I agree with @nateraw here, I'd better not force to use ... | 2023-02-21T17:35:07Z | 2023-02-28T15:37:22Z | 2023-02-23T18:23:29Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | @huggingface/datasets do you think it would be useful? Motivation - sometimes PRs are like 30% "fix: style" commits :)
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https://github.com/huggingface/datasets/pull/5560 | 5,560 | Ensure last tqdm update in `map` | {
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* ensure the TQDM bar gets the last progress update
* when a map function fails, avoid throwing a chained exception in the single-proc mode | {
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https://github.com/huggingface/datasets/pull/5559 | 5,559 | Fix map suffix_template | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | #5455 introduced a small bug that lead `map` to ignore the `suffix_template` argument and not put suffixes to cached files in multiprocessing.
I fixed this and also improved a few things:
- regarding logging: "Loading cached processed dataset" is now logged only once even in multiprocessing (it used to be logged ... | {
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https://github.com/huggingface/datasets/pull/5558 | 5,558 | Remove instructions for `ffmpeg` system package installation on Colab | {
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https://github.com/huggingface/datasets/pull/5557 | 5,557 | Add filter desc | {
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https://github.com/huggingface/datasets/pull/5556 | 5,556 | Use default audio resampling type | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ...instead of relying on the optional librosa dependency `resampy`.
It was only used for `_decode_non_mp3_file_like` anyway and not for the other ones - removing it fixes consistency between decoding methods (except torchaudio decoding)
Therefore I think it is a better solution than adding `resampy` as a dependen... | {
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https://github.com/huggingface/datasets/issues/5555 | 5,555 | `.shuffle` throwing error `ValueError: Protocol not known: parent` | {
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"Hi ! The indices mapping is written in the same cachedirectory as your dataset.\r\n\r\nCan you run this to show your current cache directory ?\r\n```python\r\nprint(train_dataset.cache_files)\r\n```",
"```\r\n[{'filename': '.../train/dataset.arrow'}, {'filename': '.../train/dataset.arrow'}]\r\n```\r\n\r\nThese a... | 2023-02-20T21:33:45Z | 2023-02-27T09:23:34Z | null | NONE | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In [16], line 1
----> 1 train_dataset = train_dataset.shuffle()
File /opt/conda/envs/pytorch/lib/python3.9/site-packages/dataset... | null | {
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https://github.com/huggingface/datasets/pull/5554 | 5,554 | Add resampy dep | {
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However it is necessary for resampling. I added it to the "audio" extra dependencies. | {
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https://github.com/huggingface/datasets/pull/5553 | 5,553 | improved message error row formatting | {
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https://github.com/huggingface/datasets/pull/5552 | 5,552 | Make tiktoken tokenizers hashable | {
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https://github.com/huggingface/datasets/pull/5551 | 5,551 | Suggest scikit-learn instead of sklearn | {
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"good catch!",
"_The documentation is not available anymore as the PR was closed or merged._",
"The test fail is unrelated to this PR and fixed on `main` - merging :)",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: ... | 2023-02-20T16:16:57Z | 2023-02-21T13:27:57Z | 2023-02-21T13:21:07Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This is kinda unimportant fix but, the suggested `pip install sklearn` does not work.
The current error message if sklearn is not installed:
```
ImportError: To be able to use [dataset name], you need to install the following dependency: sklearn.
Please install it using 'pip install sklearn' for instance.
```
... | {
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https://github.com/huggingface/datasets/pull/5550 | 5,550 | Resolve four broken refs in the docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"See the resolved changes [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5550/en/package_reference/main_classes#datasets.Dataset.class_encode_column), [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5550/en/pa... | 2023-02-20T08:52:11Z | 2023-02-20T15:16:13Z | 2023-02-20T15:09:13Z | MEMBER | false | {
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## Pull Request overview
* Resolve 4 broken references in the docs
## The problems
Two broken references [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.class_encode_column):
![image](https://user-images.githubusercontent.com/37621491/220056232-366b64dc-33c9-... | {
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https://github.com/huggingface/datasets/pull/5549 | 5,549 | Apply ruff flake8-comprehension checks | {
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Apply ruff's flake8-comprehension checks for better performance, and more readable code. | {
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https://github.com/huggingface/datasets/issues/5548 | 5,548 | Apply flake8-comprehensions to codebase | {
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] | closed | false | [] | 2023-02-19T20:05:38Z | 2023-02-23T13:59:41Z | 2023-02-23T13:59:41Z | CONTRIBUTOR | null | null | ### Feature request
Apply ruff flake8 comprehension checks to codebase.
### Motivation
This should strictly improve the performance / readability of the codebase by removing unnecessary iteration, function calls, etc. This should generate better Python bytecode which should strictly improve performance.
I alread... | {
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https://github.com/huggingface/datasets/pull/5547 | 5,547 | Add JAX device selection when formatting | {
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"The code below was throwing a warning:\r\n\r\n```python\r\nclass JaxFormatter(Formatter[Mapping, \"jax.Array\", Mapping]):\r\n def __init__(self, features=None, device=None, **jnp_array_kwargs):\r\n super().__init__(features=features)\r\n import jax\r\n from jaxlib.xla_extension import Devi... | 2023-02-18T20:57:40Z | 2023-02-21T16:10:55Z | 2023-02-21T16:04:03Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## What's in this PR?
After exploring for a while the JAX integration in 🤗`datasets`, I found out that, even though JAX prioritizes the TPU and GPU as the default device when available, the `JaxFormatter` doesn't let you specify the device where you want to place the `jax.Array`s in case you don't want to rely on J... | {
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https://github.com/huggingface/datasets/issues/5546 | 5,546 | Downloaded datasets do not cache at $HF_HOME | {
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"Hi ! Can you make sure you set `HF_HOME` before importing `datasets` ?\r\n\r\nThen you can print\r\n```python\r\nprint(datasets.config.HF_CACHE_HOME)\r\nprint(datasets.config.HF_DATASETS_CACHE)\r\n```"
] | 2023-02-18T13:30:35Z | 2023-07-24T14:22:43Z | 2023-07-24T14:22:43Z | NONE | null | null | ### Describe the bug
In the huggingface course (https://huggingface.co/course/chapter3/2?fw=pt) it said that if we set HF_HOME, downloaded datasets would be cached at specified address but it does not. downloaded models from checkpoint names are downloaded and cached at HF_HOME but this is not the case for datasets, t... | {
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https://github.com/huggingface/datasets/pull/5545 | 5,545 | Added return methods for URL-references to the pushed dataset | {
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"Hi ! Maybe we'd need to align with `transformers` and other libraries that implement `push_to_hub` to agree on what it should return.\r\n\r\ne.g. in `transformers` the typing says it returns a string, but in practice it returns a `CommitInfo`.\r\n\r\nTherefore I'd not add an output to `push_to_hub` here unless we ... | 2023-02-18T11:26:25Z | 2023-12-18T16:57:56Z | null | NONE | false | {
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} | Hi,
I was missing the ability to easily open the pushed dataset and it seemed like a quick fix.
Maybe we also want to log this info somewhere, but let me know if I need to add that too.
Cheers,
David | null | {
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https://github.com/huggingface/datasets/issues/5543 | 5,543 | the pile datasets url seems to change back | {
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"Thanks for reporting, @wjfwzzc.\r\n\r\nI am transferring this issue to the corresponding dataset on the Hub: https://huggingface.co/datasets/bookcorpusopen/discussions/1",
"Thank you. All fixes are done:\r\n- [x] https://huggingface.co/datasets/bookcorpusopen/discussions/2\r\n- [x] https://huggingface.co/dataset... | 2023-02-17T08:40:11Z | 2023-02-21T06:37:00Z | 2023-02-20T08:41:33Z | NONE | null | null | ### Describe the bug
in #3627, the host url of the pile dataset became `https://mystic.the-eye.eu`. Now the new url is broken, but `https://the-eye.eu` seems to work again.
### Steps to reproduce the bug
```python3
from datasets import load_dataset
dataset = load_dataset("bookcorpusopen")
```
shows
```python3
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https://github.com/huggingface/datasets/pull/5542 | 5,542 | Avoid saving sparse ChunkedArrays in pyarrow tables | {
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https://github.com/huggingface/datasets/issues/5541 | 5,541 | Flattening indices in selected datasets is extremely inefficient | {
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"Running the script above on the branch https://github.com/huggingface/datasets/pull/5542 results in the expected behaviour:\r\n```\r\nNum chunks for original ds: 1\r\nOriginal ds save/load\r\nsave_to_disk -- RAM memory used: 0.671875 MB -- Total time: 0.255265 s\r\nload_from_disk -- RAM memory used: 42.796875 MB -... | 2023-02-17T01:52:24Z | 2023-02-22T13:15:20Z | 2023-02-17T11:12:33Z | CONTRIBUTOR | null | null | ### Describe the bug
If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset contains ChunkedArrays with as many chunks as there are rows. Thi... | {
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https://github.com/huggingface/datasets/pull/5540 | 5,540 | Tutorial for creating a dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | A tutorial for creating datasets based on the folder-based builders and `from_dict` and `from_generator` methods. I've also mentioned loading scripts as a next step, but I think we should keep the tutorial focused on the low-code methods. Let me know what you think! 🙂 | {
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https://github.com/huggingface/datasets/issues/5539 | 5,539 | IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number | {
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"Hi! The `set_transform` does not apply a custom formatting transform on a single example but the entire batch, so the fixed version of your transform would look as follows:\r\n```python\r\nfrom datasets import load_dataset\r\nimport torch\r\n\r\ndataset = load_dataset(\"lambdalabs/pokemon-blip-captions\", split='t... | 2023-02-16T16:08:51Z | 2023-02-22T10:30:30Z | 2023-02-21T13:03:57Z | NONE | null | null | ### Describe the bug
When dataset contains a 0-dim tensor, formatting.py raises a following error and fails.
```bash
Traceback (most recent call last):
File "<path>/lib/python3.8/site-packages/datasets/formatting/formatting.py", line 501, in format_row
return _unnest(formatted_batch)
File "<path>/lib/py... | {
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https://github.com/huggingface/datasets/issues/5538 | 5,538 | load_dataset in seaborn is not working for me. getting this error. | {
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"Hi! `seaborn`'s `load_dataset` pulls datasets from [here](https://github.com/mwaskom/seaborn-data) and not from our Hub, so this issue is not related to our library in any way and should be reported in their repo instead."
] | 2023-02-16T14:01:58Z | 2023-02-16T14:44:36Z | 2023-02-16T14:44:36Z | NONE | null | null | TimeoutError Traceback (most recent call last)
~\anaconda3\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args)
1345 try:
-> 1346 h.request(req.get_method(), req.selector, req.data, headers,
1347 encode_chu... | {
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https://github.com/huggingface/datasets/issues/5537 | 5,537 | Increase speed of data files resolution | {
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"#self-assign",
"You were right, if `self.dir_cache` is not None in glob, it is exactly the same as what is returned by find, at least for all the tests we have, and some extended evaluation I did across a random sample of about 1000 datasets. \r\n\r\nThanks for the nice hints, and let me know if this is not exac... | 2023-02-16T12:11:45Z | 2023-12-15T13:12:31Z | 2023-12-15T13:12:31Z | MEMBER | null | null | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This comes from `res... | {
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https://github.com/huggingface/datasets/issues/5536 | 5,536 | Failure to hash function when using .map() | {
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"Hi ! `enc` is not hashable:\r\n```python\r\nimport tiktoken\r\nfrom datasets.fingerprint import Hasher\r\n\r\nenc = tiktoken.get_encoding(\"gpt2\")\r\nHasher.hash(enc)\r\n# raises TypeError: cannot pickle 'builtins.CoreBPE' object\r\n```\r\nIt happens because it's not picklable, and because of that it's not possib... | 2023-02-16T03:12:07Z | 2023-09-08T21:06:01Z | 2023-02-16T14:56:41Z | NONE | null | null | ### Describe the bug
_Parameter 'function'=<function process at 0x7f1ec4388af0> of the transform datasets.arrow_dataset.Dataset.\_map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and ca... | {
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https://github.com/huggingface/datasets/pull/5535 | 5,535 | Add JAX-formatting documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Awesome thank you !\r\n> \r\n> Could you also explain how to use certain types like ClassLabel, Image or Audio with jax ? You can get a lot of inspiration from the \"Other feature types\" section in the [PyTorch page](https://huggi... | 2023-02-15T20:35:11Z | 2023-02-20T10:39:42Z | 2023-02-20T10:32:39Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## What's in this PR?
As a follow-up of #5522, I've created this entry in the documentation to explain how to use `.with_format("jax")` and why is it useful.
@lhoestq Feel free to drop any feedback and/or suggestion, as probably more useful features can be included there! | {
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https://github.com/huggingface/datasets/issues/5534 | 5,534 | map() breaks at certain dataset size when using Array3D | {
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"Hi! This code works for me locally or in Colab. What's the output of `python -c \"import pyarrow as pa; print(pa.__version__)\"` when you run it inside your environment?",
"Thanks for looking into this!\r\nThe output of `python -c \"import pyarrow as pa; print(pa.__version__)\"` is:\r\n```\r\n11.0.0\r\n```\r\n\... | 2023-02-15T16:34:25Z | 2023-03-03T16:31:33Z | null | NONE | null | null | ### Describe the bug
`map()` magically breaks when using a `Array3D` feature and mapping it. I created a very simple dummy dataset (see below). When filtering it down to 95 elements I can apply map, but it breaks when filtering it down to just 96 entries with the following exception:
```
Traceback (most recent cal... | null | {
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https://github.com/huggingface/datasets/pull/5533 | 5,533 | Add reduce function | {
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} | This PR closes #5496 .
I tried to imitate the `reduce`-method from `functools`, i.e. the function input must be a binary operation. I assume that the input type has an empty element, i.e. `input_type()` is defined, as the acumulant is instantiated as this object - im not sure that is this a reasonable assumption?
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https://github.com/huggingface/datasets/issues/5532 | 5,532 | train_test_split in arrow_dataset does not ensure to keep single classes in test set | {
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"Hi! You can get this behavior by specifying `stratify_by_column=\"label\"` in `train_test_split`.\r\n\r\nThis is the full example:\r\n```python\r\nimport numpy as np\r\nfrom datasets import Dataset, ClassLabel\r\n\r\ndata = [\r\n {'label': 0, 'text': \"example1\"},\r\n {'label': 1, 'text': \"example2\"},\r\n... | 2023-02-14T16:52:29Z | 2023-02-15T16:09:19Z | 2023-02-15T16:09:19Z | NONE | null | null | ### Describe the bug
When I have a dataset with very few (e.g. 1) examples per class and I call the train_test_split function on it, sometimes the single class will be in the test set. thus will never be considered for training.
### Steps to reproduce the bug
```
import numpy as np
from datasets import Dataset
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https://github.com/huggingface/datasets/issues/5531 | 5,531 | Invalid Arrow data from JSONL | {
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```python
from datasets import Dataset
ds = Dataset.from_json(path_to_file)
ds.data.validate()
```
raises
```python
ArrowInvalid: Column 2: In chunk 1: Invalid: Struct child array #3 invalid: Invalid: Length spanned by list offsets (4064) larger than values array (length 4063)
```
This ... | null | {
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https://github.com/huggingface/datasets/pull/5530 | 5,530 | Add missing license in `NumpyFormatter` | {
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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==6.0.0\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... | 2023-02-13T19:33:23Z | 2023-02-14T14:40:41Z | 2023-02-14T12:23:58Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## What's in this PR?
As discussed with @lhoestq in https://github.com/huggingface/datasets/pull/5522, the license for `NumpyFormatter` at `datasets/formatting/np_formatter.py` was missing, but present on the rest of the `formatting/*.py` files. So this PR is basically to include it there. | {
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https://github.com/huggingface/datasets/pull/5529 | 5,529 | Fix `datasets.load_from_disk`, `DatasetDict.load_from_disk` and `Dataset.load_from_disk` | {
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"Hmm, should this also be updated in `Dataset.load_from_disk` and `DatasetDict.load_from_disk`? https://github.com/huggingface/datasets/pull/5466 As there the paths are joined using `Path(..., ...)` and it won't work on Windows OS acc... | 2023-02-13T14:54:55Z | 2023-02-23T18:14:32Z | 2023-02-23T18:05:26Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## What's in this PR?
After playing around a little bit with 🤗`datasets` in Google Cloud Storage (GCS), I found out some things that should be fixed IMO in the code:
* `datasets.load_from_disk` is not checking whether `state.json` is there too when trying to load a `Dataset`, just `dataset_info.json` is checked
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https://github.com/huggingface/datasets/pull/5528 | 5,528 | Push to hub in a pull request | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5528). All of your documentation changes will be reflected on that endpoint.",
"It seems that the parameter `create_pr` is available for [`0.8.0`](https://huggingface.co/docs/huggingface_hub/v0.8.1/en/package_reference/hf_api#h... | 2023-02-13T11:43:47Z | 2023-10-06T21:58:02Z | null | NONE | false | {
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Introduce new kwarg `create_pr` in `push_to_hub`, which is passed to `HFapi.upload_file`. | null | {
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https://github.com/huggingface/datasets/pull/5527 | 5,527 | Fix benchmarks CI - pin protobuf | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-02-12T11:51:25Z | 2023-02-13T10:29:03Z | 2023-02-13T09:24:16Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | fix https://github.com/huggingface/datasets/actions/runs/4156059127/jobs/7189576331 | {
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https://github.com/huggingface/datasets/pull/5526 | 5,526 | Allow loading/saving of FAISS index using fsspec | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the quick review! I updated the code with your suggestion",
"Thanks for the quick review @albertvillanova! I updated the code with your suggestions",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n... | 2023-02-10T23:37:14Z | 2023-03-27T15:26:46Z | 2023-03-27T15:18:20Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #5428
Allow loading/saving of FAISS index using fsspec:
1. Simply use BufferedIOWriter/Reader to Read/Write indices on fsspec stream.
2. Needed `mockfs` in the test, so I took it out of the `TestCase`. Let me know if that makes sense.
I can work on the documentation once the code changes are approved.
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https://github.com/huggingface/datasets/issues/5525 | 5,525 | TypeError: Couldn't cast array of type string to null | {
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"Thanks for reporting, @TJ-Solergibert.\r\n\r\nWe cannot access your Colab notebook: `There was an error loading this notebook. Ensure that the file is accessible and try again.`\r\nCould you please make it publicly accessible?\r\n",
"I swear it's public, I've checked the settings and I've been able to open it in... | 2023-02-10T21:12:36Z | 2023-02-14T17:41:08Z | 2023-02-14T09:35:49Z | NONE | null | null | ### Describe the bug
Processing a dataset I alredy uploaded to the Hub (https://huggingface.co/datasets/tj-solergibert/Europarl-ST) I found that for some splits and some languages (test split, source_lang = "nl") after applying a map function I get the mentioned error.
I alredy tried reseting the shorter strings... | {
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https://github.com/huggingface/datasets/pull/5524 | 5,524 | [INVALID PR] | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2023-02-10T19:35:50Z | 2023-02-10T19:51:45Z | 2023-02-10T19:49:12Z | MEMBER | false | {
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} | Hi to whoever is reading this! 🤗
## What's in this PR?
~~Basically, I've removed the 🤗`datasets` installation as `python -m pip install ".[quality]" in the `check_code_quality` job in `.github/workflows/ci.yaml`, as we don't need to install the whole package to run the CI, unless that's done on purpose e.g. to ... | {
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https://github.com/huggingface/datasets/issues/5523 | 5,523 | Checking that split name is correct happens only after the data is downloaded | {
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Verification of split names (=indexing data by split) happens after downloading the data. So when the split name is incorrect, users learn about that only after the data is fully downloaded, for large datasets it might take a lot of time.
### Steps to reproduce the bug
Load any dataset with rand... | null | {
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https://github.com/huggingface/datasets/pull/5522 | 5,522 | Minor changes in JAX-formatting docstrings & type-hints | {
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"P.S. For more context, I'm currently exploring the integration of 🤗`datasets` with JAX, so in case you need any help or want me to try something specific just let me know! (`jnp.asarray`/`jnp.array(..., copy=False)` still no zero-copy 😭)",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hi to whoever is reading this! 🤗
## What's in this PR?
I was exploring the code regarding the `JaxFormatter` implemented in 🤗`datasets`, and found some things that IMO could be changed. Those are mainly regarding the docstrings and the type-hints based on `jax`'s 0.4.1 release where `jax.Array` was introduced a... | {
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https://github.com/huggingface/datasets/pull/5521 | 5,521 | Fix bug when casting empty array to class labels | {
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] | 2023-02-09T18:47:59Z | 2023-02-13T20:40:48Z | 2023-02-12T11:17:17Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/5520 | 5,520 | ClassLabel.cast_storage raises TypeError when called on an empty IntegerArray | {
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`ClassLabel.cast_storage` raises `TypeError` when called on an empty `IntegerArray`.
### Steps to reproduce the bug
Minimal steps:
```python
import pyarrow as pa
from datasets import ClassLabel
ClassLabel(names=['foo', 'bar']).cast_storage(pa.array([], pa.int64()))
```
In practice, thi... | {
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https://github.com/huggingface/datasets/pull/5519 | 5,519 | Lint code with `ruff` | {
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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==6.0.0\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... | 2023-02-09T17:50:21Z | 2024-06-01T15:35:02Z | 2023-02-14T16:18:38Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | EDIT:
Use `ruff` for linting instead of `isort` and `flake8` ~~`black`~~ to be consistent with [`transformers`](https://github.com/huggingface/transformers/pull/21480) and [`hfh`](https://github.com/huggingface/huggingface_hub/pull/1323).
TODO:
- [x] ~Merge the community contributors' PR to avoid having to run `ma... | {
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https://github.com/huggingface/datasets/pull/5518 | 5,518 | Remove py.typed | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix https://github.com/huggingface/datasets/issues/3841 | {
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https://github.com/huggingface/datasets/issues/5517 | 5,517 | `with_format("numpy")` silently downcasts float64 to float32 features | {
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"Hi! This behavior stems from these lines:\r\n\r\nhttps://github.com/huggingface/datasets/blob/b065547654efa0ec633cf373ac1512884c68b2e1/src/datasets/formatting/np_formatter.py#L45-L46\r\n\r\nI agree we should preserve the original type whenever possible and downcast explicitly with a warning.\r\n\r\n@lhoestq Do you... | 2023-02-09T14:18:00Z | 2024-01-18T08:42:17Z | null | NONE | null | null | ### Describe the bug
When I create a dataset with a `float64` feature, then apply numpy formatting the returned numpy arrays are silently downcasted to `float32`.
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.Dataset.from_dict({'a': [1.0, 2.0, 3.0]}).with_format("numpy")
print(... | null | {
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https://github.com/huggingface/datasets/pull/5516 | 5,516 | Reload features from Parquet metadata | {
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"Thanks a lot for your help @lhoestq. I've simplified what turned out to be a simple fix and added the unit test.\r\n\r\nDoes this look ready to be merged or is there anything I'm still missing?",
"Cool ! I think you just need to remove the unused import in `io/parquet.py`\r\n```\r\nsrc/datasets/io/parquet.py:4:1... | 2023-02-09T10:52:15Z | 2023-02-12T16:00:00Z | 2023-02-12T15:57:01Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Resolves #5482.
Attaches feature metadata to parquet files serialised using `Dataset.to_parquet`.
This allows retrieving data with "rich" feature types (e.g., `datasets.features.image.Image` or `datasets.features.audio.Audio`) from parquet files without cumbersome casting (for an example, see #5482).
@lhoest... | {
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https://github.com/huggingface/datasets/pull/5515 | 5,515 | Unify `load_from_cache_file` type and logic | {
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"The commit also includes the changes to the `DatasetDict` methods or am I missing something?",
"Oh, indeed. Feel free to mark the PR as \"Ready for review\" then.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0... | 2023-02-09T10:04:46Z | 2023-02-14T15:38:13Z | 2023-02-14T14:26:42Z | CONTRIBUTOR | false | {
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* Added logic for cache checking if needed
* Updated documentation following the wording of `Dataset.map` | {
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https://github.com/huggingface/datasets/issues/5514 | 5,514 | Improve inconsistency of `Dataset.map` interface for `load_from_cache_file` | {
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"Hi, thanks for noticing this! We can't just remove the cache control as this allows us to control where the arrow files generated by the ops are written (cached on disk if enabled or a temporary directory if disabled). The right way to address this inconsistency would be by having `load_from_cache_file=None` by de... | 2023-02-08T16:40:44Z | 2023-02-14T14:26:44Z | 2023-02-14T14:26:44Z | CONTRIBUTOR | null | null | ### Feature request
1. Replace the `load_from_cache_file` default value to `True`.
2. Remove or alter checks from `is_caching_enabled` logic.
### Motivation
I stumbled over an inconsistency in the `Dataset.map` interface. The documentation (and source) states for the parameter `load_from_cache_file`:
```
load_... | {
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https://github.com/huggingface/datasets/issues/5513 | 5,513 | Some functions use a param named `type` shouldn't that be avoided since it's a Python reserved name? | {
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"Hi! Let's not do this - renaming it would be a breaking change, and going through the deprecation cycle is only worth it if it improves user experience.",
"Hi @mariosasko, ok it makes sense. Anyway, don't you think it's worth it at some point to start a deprecation cycle e.g. `fs` in `load_from_disk`? It doesn't... | 2023-02-08T15:13:46Z | 2023-07-24T16:02:18Z | 2023-07-24T14:27:59Z | MEMBER | null | null | Hi @mariosasko, @lhoestq, or whoever reads this! :)
After going through `ArrowDataset.set_format` I found out that the `type` param is actually named `type` which is a Python reserved name as you may already know, shouldn't that be renamed to `format_type` before the 3.0.0 is released?
Just wanted to get your inp... | {
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https://github.com/huggingface/datasets/pull/5512 | 5,512 | Speed up batched PyTorch DataLoader | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-02-08T13:38:59Z | 2023-02-19T18:35:09Z | 2023-02-19T18:27:29Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I implemented `__getitems__` to speed up batched data loading in PyTorch
close https://github.com/huggingface/datasets/issues/5505 | {
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https://github.com/huggingface/datasets/issues/5511 | 5,511 | Creating a dummy dataset from a bigger one | {
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"Update `datasets` or downgrade `huggingface-hub` ;)\r\n\r\nThe `huggingface-hub` lib did a breaking change a few months ago, and you're using an old version of `datasets` that does't support it",
"Awesome thanks a lot! Everything works just fine with `datasets==2.9.0` :-) ",
"Getting same error with latest ver... | 2023-02-08T10:18:41Z | 2023-12-28T18:21:01Z | 2023-02-08T10:35:48Z | CONTRIBUTOR | null | null | ### Describe the bug
I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset... | {
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https://github.com/huggingface/datasets/pull/5510 | 5,510 | Milvus integration for search | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5510). All of your documentation changes will be reflected on that endpoint.",
"To the maintainer, sorry about the repeated run requests for formatting. Missed the `make style` outlined in contributing guidelines. ",
"Anythin... | 2023-02-07T23:30:26Z | 2023-02-24T16:45:09Z | null | NONE | false | {
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https://github.com/huggingface/datasets/pull/5509 | 5,509 | Add a static `__all__` to `__init__.py` for typecheckers | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5509). All of your documentation changes will be reflected on that endpoint.",
"Hi! I've commented on the original issue to provide some context. Feel free to share your opinion there."
] | 2023-02-07T11:42:40Z | 2023-02-08T17:48:24Z | null | NONE | false | {
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} | This adds a static `__all__` field to `__init__.py`, allowing typecheckers to know which symbols are accessible from `datasets` at runtime. In particular [Pyright](https://github.com/microsoft/pylance-release/issues/2328#issuecomment-1029381258) seems to rely on this. At this point I have added all (modulo oversight) t... | null | {
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https://github.com/huggingface/datasets/issues/5508 | 5,508 | Saving a dataset after setting format to torch doesn't work, but only if filtering | {
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"Hey, I'm a research engineer working on language modelling wanting to contribute to open source. I was wondering if I could give it a shot?",
"Hi! This issue was fixed in https://github.com/huggingface/datasets/pull/4972, so please install `datasets>=2.5.0` to avoid it."
] | 2023-02-06T21:08:58Z | 2023-02-09T14:55:26Z | 2023-02-09T14:55:26Z | NONE | null | null | ### Describe the bug
Saving a dataset after setting format to torch doesn't work, but only if filtering
### Steps to reproduce the bug
```
a = Dataset.from_dict({"b": [1, 2]})
a.set_format('torch')
a.save_to_disk("test_save") # saves successfully
a.filter(None).save_to_disk("test_save_filter") # does not
>> [..... | {
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https://github.com/huggingface/datasets/issues/5507 | 5,507 | Optimise behaviour in respect to indices mapping | {
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] | open | false | [] | 2023-02-06T14:25:55Z | 2023-02-28T18:19:18Z | null | COLLABORATOR | null | null | _Originally [posted](https://huggingface.slack.com/archives/C02V51Q3800/p1675443873878489?thread_ts=1675418893.373479&cid=C02V51Q3800) on Slack_
Considering all this, perhaps for Datasets 3.0, we can do the following:
* [ ] have `continuous=True` by default in `.shard` (requested in the survey and makes more sense... | null | {
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https://github.com/huggingface/datasets/issues/5506 | 5,506 | IterableDataset and Dataset return different batch sizes when using Trainer with multiple GPUs | {
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"Hi ! `datasets` doesn't do batching - the PyTorch DataLoader does and is created by the `Trainer`. Do you pass other arguments to training_args with respect to data loading ?\r\n\r\nAlso we recently released `.to_iterable_dataset` that does pretty much what you implemented, but using contiguous shards to get a bet... | 2023-02-06T03:26:03Z | 2023-02-08T18:30:08Z | 2023-02-08T18:30:07Z | NONE | null | null | ### Describe the bug
I am training a Roberta model using 2 GPUs and the `Trainer` API with a batch size of 256.
Initially I used a standard `Dataset`, but had issues with slow data loading. After reading [this issue](https://github.com/huggingface/datasets/issues/2252), I swapped to loading my dataset as contiguous... | {
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https://github.com/huggingface/datasets/issues/5505 | 5,505 | PyTorch BatchSampler still loads from Dataset one-by-one | {
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"This change seems to come from a few months ago in the PyTorch side. That's good news and it means we may not need to pass a batch_sampler as soon as we add `Dataset.__getitems__` to get the optimal speed :)\r\n\r\nThanks for reporting ! Would you like to open a PR to add `__getitems__` and remove this outdated do... | 2023-02-06T01:14:55Z | 2023-02-19T18:27:30Z | 2023-02-19T18:27:30Z | NONE | null | null | ### Describe the bug
In [the docs here](https://huggingface.co/docs/datasets/use_with_pytorch#use-a-batchsampler), it mentions the issue of the Dataset being read one-by-one, then states that using a BatchSampler resolves the issue.
I'm not sure if this is a mistake in the docs or the code, but it seems that the on... | {
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https://github.com/huggingface/datasets/pull/5504 | 5,504 | don't zero copy timestamps | {
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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==6.0.0\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... | 2023-02-03T23:39:04Z | 2023-02-08T17:28:50Z | 2023-02-08T14:33:17Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes https://github.com/huggingface/datasets/issues/5495
I'm not sure whether we prefer a test here or if timestamps are known to be unsupported (like booleans). The current test at least covers the bug | {
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https://github.com/huggingface/datasets/pull/5502 | 5,502 | Added functionality: sort datasets by multiple keys | {
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"> Thanks! I've left some comments.\r\n> \r\n> We should also add some tests, mainly to make sure `reverse` behaves as expected. Let me know if you need help with that.\r\n\r\nThanks for the offer! I couldn't find any guidelines on ho... | 2023-02-03T16:17:00Z | 2023-02-21T14:46:49Z | 2023-02-21T14:39:23Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/5501 | 5,501 | Increase chunk size for speeding up file downloads | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5501). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | 2023-02-03T10:50:10Z | 2023-02-09T11:04:11Z | null | CONTRIBUTOR | false | {
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} | Original fix: https://github.com/huggingface/huggingface_hub/pull/1267
Not sure this function is actually still called though.
I haven't done benches on this. Is there a dataset where files are hosted on the hub through cloudfront so we can have the same setup as in `hf_hub` ? | null | {
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https://github.com/huggingface/datasets/issues/5500 | 5,500 | WMT19 custom download checksum error | {
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"I update the `datatsets` version and it works."
] | 2023-02-03T05:45:37Z | 2023-02-03T05:52:56Z | 2023-02-03T05:52:56Z | NONE | null | null | ### Describe the bug
I use the following scripts to download data from WMT19:
```python
import datasets
from datasets import inspect_dataset, load_dataset_builder
from wmt19.wmt_utils import _TRAIN_SUBSETS,_DEV_SUBSETS
## this is a must due to: https://discuss.huggingface.co/t/load-dataset-hangs-with-local-fi... | {
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https://github.com/huggingface/datasets/issues/5499 | 5,499 | `load_dataset` has ~4 seconds of overhead for cached data | {
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"Hi ! To skip the verification step that checks if newer data exist, you can enable offline mode with `HF_DATASETS_OFFLINE=1`.\r\n\r\nAlthough I agree this step should be much faster for datasets hosted on the HF Hub - we could just compare the commit hash from the local data and the remote git repository. We're no... | 2023-02-02T23:34:50Z | 2023-02-07T19:35:11Z | null | NONE | null | null | ### Feature request
When loading a dataset that has been cached locally, the `load_dataset` function takes a lot longer than it should take to fetch the dataset from disk (or memory).
This is particularly noticeable for smaller datasets. For example, wikitext-2, comparing `load_data` (once cached) and `load_from_disk... | null | {
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https://github.com/huggingface/datasets/issues/5498 | 5,498 | TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset | {
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"Hi! Instead of a single boolean, your filter function should return an iterable (of booleans) in the batched mode like so:\r\n```python\r\ntrain_dataset = train_dataset.filter(\r\n function=lambda batch: [image is not None for image in batch[\"image\"]], \r\n batched=True,\r\n batc... | 2023-02-02T14:46:49Z | 2023-10-08T06:12:47Z | 2023-02-04T17:19:36Z | NONE | null | null | ### Describe the bug
Hi,
Thanks for the amazing work on the library!
**Describe the bug**
I think I might have noticed a small bug in the filter method.
Having loaded a dataset using `load_dataset`, when I try to filter out empty entries with `batched=True`, I get a TypeError.
### Steps to reproduce the ... | {
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https://github.com/huggingface/datasets/pull/5497 | 5,497 | Improved error message for gated/private repos | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Using `use_auth_token=True` is not needed anymore. If a user logged in, the token will be automatically retrieved. Also include a mention for gated repos
See https://github.com/huggingface/huggingface_hub/pull/1064 | {
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https://github.com/huggingface/datasets/issues/5496 | 5,496 | Add a `reduce` method | {
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"Hi! Sure, feel free to open a PR, so we can see the API you have in mind.",
"I would like to give it a go! #self-assign",
"Closing as `Dataset.map` can be used instead (see https://github.com/huggingface/datasets/pull/5533#issuecomment-1440571658 and https://github.com/huggingface/datasets/pull/5533#issuecomme... | 2023-02-02T04:30:22Z | 2024-11-12T05:58:14Z | 2023-07-21T14:24:32Z | NONE | null | null | ### Feature request
Right now the `Dataset` class implements `map()` and `filter()`, but leaves out the third functional idiom popular among Python users: `reduce`.
### Motivation
A `reduce` method is often useful when calculating dataset statistics, for example, the occurrence of a particular n-gram or the average... | {
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https://github.com/huggingface/datasets/issues/5495 | 5,495 | to_tf_dataset fails with datetime UTC columns even if not included in columns argument | {
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"Hi! This is indeed a bug in our zero-copy logic.\r\n\r\nTo fix it, instead of the line:\r\nhttps://github.com/huggingface/datasets/blob/7cfac43b980ab9e4a69c2328f085770996323005/src/datasets/features/features.py#L702\r\n\r\nwe should have:\r\n```python\r\nreturn pa.types.is_primitive(pa_type) and not (pa.types.is_b... | 2023-02-01T20:47:33Z | 2023-02-08T14:33:19Z | 2023-02-08T14:33:19Z | CONTRIBUTOR | null | null | ### Describe the bug
There appears to be some eager behavior in `to_tf_dataset` that runs against every column in a dataset even if they aren't included in the columns argument. This is problematic with datetime UTC columns due to them not working with zero copy. If I don't have UTC information in my datetime column... | {
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https://github.com/huggingface/datasets/issues/5494 | 5,494 | Update audio installation doc page | {
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"Totally agree, the docs should be in sync with our code.\r\n\r\nIndeed to avoid confusing users, I think we should have updated the docs at the same time as this PR:\r\n- #5167",
"@albertvillanova yeah sure I should have, but I forgot back then, sorry for that 😶",
"No, @polinaeterna, nothing to be sorry about... | 2023-02-01T19:07:50Z | 2023-03-02T16:08:17Z | 2023-03-02T16:08:17Z | CONTRIBUTOR | null | null | Our [installation documentation page](https://huggingface.co/docs/datasets/installation#audio) says that one can use Datasets for mp3 only with `torchaudio<0.12`. `torchaudio>0.12` is actually supported too but requires a specific version of ffmpeg which is not easily installed on all linux versions but there is a cust... | {
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https://github.com/huggingface/datasets/pull/5493 | 5,493 | Remove unused `load_from_cache_file` arg from `Dataset.shard()` docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5493). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n... | 2023-02-01T18:57:48Z | 2023-02-08T15:10:46Z | 2023-02-08T15:03:50Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/5492 | 5,492 | Push_to_hub in a pull request | {
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"Assigned to myself and will get to it in the next week, but if someone finds this issue annoying and wants to submit a PR before I do, just ping me here and I'll reassign :). ",
"I would like to be assigned to this issue, @nateraw . #self-assign"
] | 2023-02-01T18:32:14Z | 2023-10-16T13:30:48Z | 2023-10-16T13:30:48Z | MEMBER | null | null | Right now `ds.push_to_hub()` can push a dataset on `main` or on a new branch with `branch=`, but there is no way to open a pull request. Even passing `branch=refs/pr/x` doesn't seem to work: it tries to create a branch with that name
cc @nateraw
It should be possible to tweak the use of `huggingface_hub` in `pus... | {
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https://github.com/huggingface/datasets/pull/5491 | 5,491 | [MINOR] Typo | {
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https://github.com/huggingface/datasets/pull/5490 | 5,490 | Do not add index column by default when exporting to CSV | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As pointed out by @merveenoyan, default behavior of `Dataset.to_csv` adds the index as an additional column without name.
This PR changes the default behavior, so that now the index column is not written.
To add the index column, now you need to pass `index=True` and also `index_label=<name of the index colum>` t... | {
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https://github.com/huggingface/datasets/pull/5489 | 5,489 | Pin dill lower version | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Pin `dill` lower version compatible with `datasets`.
Related to:
- #5487
- #288
Note that the required `dill._dill` module was introduced in dill-2.8.0, however we have heuristically tested that datasets can only be installed with dill>=3.0.0 (otherwise pip hangs indefinitely while preparing metadata for multip... | {
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https://github.com/huggingface/datasets/issues/5488 | 5,488 | Error loading MP3 files from CommonVoice | {
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"Hi @kradonneoh, thanks for reporting.\r\n\r\nPlease note that to work with audio datasets (and specifically with MP3 files) we have detailed installation instructions in our docs: https://huggingface.co/docs/datasets/installation#audio\r\n- one of the requirements is torchaudio<0.12.0\r\n\r\nLet us know if the pro... | 2023-01-31T21:25:33Z | 2023-03-02T16:25:14Z | 2023-03-02T16:25:13Z | NONE | null | null | ### Describe the bug
When loading a CommonVoice dataset with `datasets==2.9.0` and `torchaudio>=0.12.0`, I get an error reading the audio arrays:
```python
---------------------------------------------------------------------------
LibsndfileError Traceback (most recent call last)
~/.l... | {
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https://github.com/huggingface/datasets/issues/5487 | 5,487 | Incorrect filepath for dill module | {
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"Hi! The correct path is still `dill._dill.XXXX` in the latest release. What do you get when you run `python -c \"import dill; print(dill.__version__)\"` in your environment?",
"`0.3.6` I feel like that's bad news, because it's probably not the issue.\r\n\r\nMy mistake, about the wrong path guess. I think I did... | 2023-01-31T15:01:08Z | 2023-02-24T16:18:36Z | 2023-02-24T16:18:36Z | NONE | null | null | ### Describe the bug
I installed the `datasets` package and when I try to `import` it, I get the following error:
```
Traceback (most recent call last):
File "/var/folders/jt/zw5g74ln6tqfdzsl8tx378j00000gn/T/ipykernel_3805/3458380017.py", line 1, in <module>
import datasets
File "/Users/avivbrokman/... | {
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https://github.com/huggingface/datasets/issues/5486 | 5,486 | Adding `sep` to TextConfig | {
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"Hi @omar-araboghli, thanks for your proposal.\r\n\r\nHave you tried to use \"csv\" loader instead of \"text\"? That already has a `sep` argument.",
"Hi @albertvillanova, thanks for the quick response!\r\n\r\nIndeed, I have been trying to use `csv` instead of `text`. However I am still not able to define range of... | 2023-01-31T10:39:53Z | 2023-01-31T14:50:18Z | null | NONE | null | null | I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination with `sample_by='paragraph'` ... | null | {
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https://github.com/huggingface/datasets/pull/5485 | 5,485 | Add section in tutorial for IterableDataset | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-30T18:43:04Z | 2023-02-01T18:15:38Z | 2023-02-01T18:08:46Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Introduces an `IterableDataset` and how to access it in the tutorial section. It also adds a brief next step section at the end to provide a path for users who want more explanation and a path for users who want something more practical and learn how to preprocess these dataset types. It'll complement the awesome new d... | {
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https://github.com/huggingface/datasets/pull/5484 | 5,484 | Update docs for `nyu_depth_v2` dataset | {
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"I think I need to create another PR on https://huggingface.co/datasets/huggingface/documentation-images/tree/main/datasets for hosting the images there?",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the update @awsaf49 !",
"> Thanks a lot for the updates!\r\n> ... | 2023-01-30T17:37:08Z | 2023-09-29T06:43:11Z | 2023-02-05T14:15:04Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR will fix the issue mentioned in #5461. Here is brief overview,
## Bug:
Discrepancy between depth map of `nyu_depth_v2` dataset [here](https://huggingface.co/docs/datasets/main/en/depth_estimation) and actual depth map. Depth values somehow got **discretized/clipped** resulting in depth maps that are diffe... | {
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https://github.com/huggingface/datasets/issues/5483 | 5,483 | Unable to upload dataset | {
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"Seems to work now, perhaps it was something internal with our university's network."
] | 2023-01-28T15:18:26Z | 2023-01-29T08:09:49Z | 2023-01-29T08:09:49Z | NONE | null | null | ### Describe the bug
Uploading a simple dataset ends with an exception
### Steps to reproduce the bug
I created a new conda env with python 3.10, pip installed datasets and:
```python
>>> from datasets import load_dataset, load_from_disk, Dataset
>>> d = Dataset.from_dict({"text": ["hello"] * 2})
>>> d.pus... | {
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https://github.com/huggingface/datasets/issues/5482 | 5,482 | Reload features from Parquet metadata | {
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"I'd be happy to have a look, if nobody else has started working on this yet @lhoestq. \r\n\r\nIt seems to me that for the `arrow` format features are currently attached as metadata [in `datasets.arrow_writer`](https://github.com/huggingface/datasets/blob/5f810b7011a8a4ab077a1847c024d2d9e267b065/src/datasets/arrow_... | 2023-01-28T13:12:31Z | 2023-02-12T15:57:02Z | 2023-02-12T15:57:02Z | MEMBER | null | null | The idea would be to allow this :
```python
ds.to_parquet("my_dataset/ds.parquet")
reloaded = load_dataset("my_dataset")
assert ds.features == reloaded.features
```
And it should also work with Image and Audio types (right now they're reloaded as a dict type)
This can be implemented by storing and reading th... | {
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https://github.com/huggingface/datasets/issues/5481 | 5,481 | Load a cached dataset as iterable | {
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"Can I work on this issue? I am pretty new to this.",
"Hi ! Sure :) you can comment `#self-assign` to assign yourself to this issue.\r\n\r\nI can give you some pointers to get started:\r\n\r\n`load_dataset` works roughly this way:\r\n1. it instantiate a dataset builder using `load_dataset_builder()`\r\n2. the bui... | 2023-01-27T21:43:51Z | 2025-06-19T19:30:52Z | null | MEMBER | null | null | The idea would be to allow something like
```python
ds = load_dataset("c4", "en", as_iterable=True)
```
To be used to train models. It would load an IterableDataset from the cached Arrow files.
Cc @stas00
Edit : from the discussions we may load from cache when streaming=True | null | {
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https://github.com/huggingface/datasets/pull/5480 | 5,480 | Select columns of Dataset or DatasetDict | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Close #5474 and #5468. | {
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https://github.com/huggingface/datasets/issues/5479 | 5,479 | audiofolder works on local env, but creates empty dataset in a remote one, what dependencies could I be missing/outdated | {
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I'm using a custom audio dataset (400+ audio files) in the correct format for audiofolder. Although loading the dataset with audiofolder works in one local setup, it doesn't in a remote one (it just creates an empty dataset). I have both ffmpeg and libndfile installed on both computers, what cou... | {
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https://github.com/huggingface/datasets/pull/5478 | 5,478 | Tip for recomputing metadata | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | From this [feedback](https://discuss.huggingface.co/t/nonmatchingsplitssizeserror/30033) on the forum, thought I'd include a tip for recomputing the metadata numbers if it is your own dataset. | {
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https://github.com/huggingface/datasets/issues/5477 | 5,477 | Unpin sqlalchemy once issue is fixed | {
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"@albertvillanova It looks like that issue has been fixed so I made a PR to unpin sqlalchemy! ",
"The source issue:\r\n- https://github.com/pandas-dev/pandas/issues/40686\r\n\r\nhas been fixed:\r\n- https://github.com/pandas-dev/pandas/pull/48576\r\n\r\nThe fix was released yesterday (2023-04-03) only in `pandas-... | 2023-01-27T15:01:55Z | 2024-01-26T14:50:45Z | 2024-01-26T14:50:45Z | MEMBER | null | null | Once the source issue is fixed:
- pandas-dev/pandas#51015
we should revert the pin introduced in:
- #5476 | {
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https://github.com/huggingface/datasets/pull/5476 | 5,476 | Pin sqlalchemy | {
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the error comes from pandas: https://github.com/pandas-dev/pandas/issues/51015 | {
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https://github.com/huggingface/datasets/issues/5475 | 5,475 | Dataset scan time is much slower than using native arrow | {
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"Hi ! In your code you only iterate on the Arrow buffers - you don't actually load the data as python objects. For a fair comparison, you can modify your code using:\r\n```diff\r\n- for _ in range(0, len(table), bsz):\r\n- _ = {k:table[k][_ : _ + bsz] for k in cols}\r\n+ for _ in range(0, len(table)... | 2023-01-27T01:32:25Z | 2023-01-30T16:17:11Z | 2023-01-30T16:17:11Z | CONTRIBUTOR | null | null | ### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | {
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https://github.com/huggingface/datasets/issues/5474 | 5,474 | Column project operation on `datasets.Dataset` | {
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"Hi ! This would be a nice addition indeed :) This sounds like a duplicate of https://github.com/huggingface/datasets/issues/5468\r\n\r\n> Not sure. Some of my PRs are still open and some do not have any discussions.\r\n\r\nSorry to hear that, feel free to ping me on those PRs"
] | 2023-01-26T21:47:53Z | 2023-02-13T09:59:37Z | 2023-02-13T09:59:37Z | CONTRIBUTOR | null | null | ### Feature request
There is no operation to select a subset of columns of original dataset. Expected API follows.
```python
a = Dataset.from_dict({
'int': [0, 1, 2]
'char': ['a', 'b', 'c'],
'none': [None] * 3,
})
b = a.project('int', 'char') # usually, .select()
print(a.column_names) # std... | {
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https://github.com/huggingface/datasets/pull/5473 | 5,473 | Set dev version | {
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https://github.com/huggingface/datasets/pull/5472 | 5,472 | Release: 2.9.0 | {
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https://github.com/huggingface/datasets/pull/5471 | 5,471 | Add num_test_batches option | {
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"I thought this issue was resolved in my parallel `to_tf_dataset` PR! I changed the default `num_test_batches` in `_get_output_signature` to 20 and used a test batch size of 1 to maximize variance to detect shorter samples. I think it... | 2023-01-26T18:09:40Z | 2023-01-27T18:16:45Z | 2023-01-27T18:08:36Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/5470 | 5,470 | Update dataset card creation | {
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https://github.com/huggingface/datasets/pull/5469 | 5,469 | Remove deprecated `shard_size` arg from `.push_to_hub()` | {
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https://github.com/huggingface/datasets/issues/5468 | 5,468 | Allow opposite of remove_columns on Dataset and DatasetDict | {
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"Hi! I agree it would be nice to have a method like that. Instead of `keep_columns`, we can name it `select_columns` to be more aligned with PyArrow's naming convention (`pa.Table.select`).",
"Hi, I am a newbie to open source and would like to contribute. @mariosasko can I take up this issue ?",
"Hey, I also wa... | 2023-01-26T12:28:09Z | 2023-02-13T09:59:38Z | 2023-02-13T09:59:38Z | NONE | null | null | ### Feature request
In this blog post https://huggingface.co/blog/audio-datasets, I noticed the following code:
```python
COLUMNS_TO_KEEP = ["text", "audio"]
all_columns = gigaspeech["train"].column_names
columns_to_remove = set(all_columns) - set(COLUMNS_TO_KEEP)
gigaspeech = gigaspeech.remove_columns(column... | {
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https://github.com/huggingface/datasets/pull/5467 | 5,467 | Fix conda command in readme | {
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"ah didn't read well - it's all good",
"or maybe it isn't ? `-c huggingface -c conda-forge` installs from HF or from conda-forge ?",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | ... | 2023-01-26T10:03:01Z | 2023-09-24T10:06:59Z | 2023-01-26T18:29:37Z | MEMBER | false | {
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} | The [conda forge channel](https://anaconda.org/conda-forge/datasets) is lagging behind (as of right now, only 2.7.1 is available), we should recommend using the [Hugging face channel](https://anaconda.org/HuggingFace/datasets) that we are maintaining
```
conda install -c huggingface datasets
``` | {
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