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1,588,951,379 | https://api.github.com/repos/huggingface/datasets/issues/5543 | https://github.com/huggingface/datasets/issues/5543 | 5,543 | the pile datasets url seems to change back | closed | 2 | 2023-02-17T08:40:11 | 2023-02-21T06:37:00 | 2023-02-20T08:41:33 | wjfwzzc | [] | ### 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
... | false |
1,588,633,724 | https://api.github.com/repos/huggingface/datasets/issues/5542 | https://github.com/huggingface/datasets/pull/5542 | 5,542 | Avoid saving sparse ChunkedArrays in pyarrow tables | closed | 2 | 2023-02-17T01:52:38 | 2023-02-17T19:20:49 | 2023-02-17T11:12:32 | marioga | [] | Fixes https://github.com/huggingface/datasets/issues/5541 | true |
1,588,633,555 | https://api.github.com/repos/huggingface/datasets/issues/5541 | https://github.com/huggingface/datasets/issues/5541 | 5,541 | Flattening indices in selected datasets is extremely inefficient | closed | 3 | 2023-02-17T01:52:24 | 2023-02-22T13:15:20 | 2023-02-17T11:12:33 | marioga | [] | ### 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... | false |
1,588,438,344 | https://api.github.com/repos/huggingface/datasets/issues/5540 | https://github.com/huggingface/datasets/pull/5540 | 5,540 | Tutorial for creating a dataset | closed | 2 | 2023-02-16T22:09:35 | 2023-02-17T18:50:46 | 2023-02-17T18:41:28 | stevhliu | [] | 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! 🙂 | true |
1,587,970,083 | https://api.github.com/repos/huggingface/datasets/issues/5539 | 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 | closed | 4 | 2023-02-16T16:08:51 | 2023-02-22T10:30:30 | 2023-02-21T13:03:57 | aalbersk | [
"good first issue"
] | ### 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... | false |
1,587,732,596 | https://api.github.com/repos/huggingface/datasets/issues/5538 | https://github.com/huggingface/datasets/issues/5538 | 5,538 | load_dataset in seaborn is not working for me. getting this error. | closed | 1 | 2023-02-16T14:01:58 | 2023-02-16T14:44:36 | 2023-02-16T14:44:36 | reemaranibarik | [] | 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... | false |
1,587,567,464 | https://api.github.com/repos/huggingface/datasets/issues/5537 | https://github.com/huggingface/datasets/issues/5537 | 5,537 | Increase speed of data files resolution | closed | 5 | 2023-02-16T12:11:45 | 2023-12-15T13:12:31 | 2023-12-15T13:12:31 | lhoestq | [
"enhancement",
"good second issue"
] | 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... | false |
1,586,930,643 | https://api.github.com/repos/huggingface/datasets/issues/5536 | https://github.com/huggingface/datasets/issues/5536 | 5,536 | Failure to hash function when using .map() | closed | 14 | 2023-02-16T03:12:07 | 2023-09-08T21:06:01 | 2023-02-16T14:56:41 | venzen | [] | ### 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... | false |
1,586,520,369 | https://api.github.com/repos/huggingface/datasets/issues/5535 | https://github.com/huggingface/datasets/pull/5535 | 5,535 | Add JAX-formatting documentation | closed | 9 | 2023-02-15T20:35:11 | 2023-02-20T10:39:42 | 2023-02-20T10:32:39 | alvarobartt | [] | ## 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! | true |
1,586,177,862 | https://api.github.com/repos/huggingface/datasets/issues/5534 | https://github.com/huggingface/datasets/issues/5534 | 5,534 | map() breaks at certain dataset size when using Array3D | open | 2 | 2023-02-15T16:34:25 | 2023-03-03T16:31:33 | null | ArneBinder | [] | ### 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... | false |
1,585,885,871 | https://api.github.com/repos/huggingface/datasets/issues/5533 | https://github.com/huggingface/datasets/pull/5533 | 5,533 | Add reduce function | closed | 21 | 2023-02-15T13:44:01 | 2024-11-25T14:33:27 | 2023-02-28T14:46:12 | AJDERS | [] | 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?
... | true |
1,584,505,128 | https://api.github.com/repos/huggingface/datasets/issues/5532 | 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 | closed | 1 | 2023-02-14T16:52:29 | 2023-02-15T16:09:19 | 2023-02-15T16:09:19 | Ulipenitz | [] | ### 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
... | false |
1,584,387,276 | https://api.github.com/repos/huggingface/datasets/issues/5531 | https://github.com/huggingface/datasets/issues/5531 | 5,531 | Invalid Arrow data from JSONL | open | 0 | 2023-02-14T15:39:49 | 2023-02-14T15:46:09 | null | lhoestq | [
"bug"
] | This code fails:
```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 ... | false |
1,582,938,241 | https://api.github.com/repos/huggingface/datasets/issues/5530 | https://github.com/huggingface/datasets/pull/5530 | 5,530 | Add missing license in `NumpyFormatter` | closed | 2 | 2023-02-13T19:33:23 | 2023-02-14T14:40:41 | 2023-02-14T12:23:58 | alvarobartt | [] | ## 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. | true |
1,582,501,233 | https://api.github.com/repos/huggingface/datasets/issues/5529 | https://github.com/huggingface/datasets/pull/5529 | 5,529 | Fix `datasets.load_from_disk`, `DatasetDict.load_from_disk` and `Dataset.load_from_disk` | closed | 12 | 2023-02-13T14:54:55 | 2023-02-23T18:14:32 | 2023-02-23T18:05:26 | alvarobartt | [] | ## 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
... | true |
1,582,195,085 | https://api.github.com/repos/huggingface/datasets/issues/5528 | https://github.com/huggingface/datasets/pull/5528 | 5,528 | Push to hub in a pull request | open | 11 | 2023-02-13T11:43:47 | 2023-10-06T21:58:02 | null | AJDERS | [] | Fixes #5492.
Introduce new kwarg `create_pr` in `push_to_hub`, which is passed to `HFapi.upload_file`. | true |
1,581,228,531 | https://api.github.com/repos/huggingface/datasets/issues/5527 | https://github.com/huggingface/datasets/pull/5527 | 5,527 | Fix benchmarks CI - pin protobuf | closed | 5 | 2023-02-12T11:51:25 | 2023-02-13T10:29:03 | 2023-02-13T09:24:16 | lhoestq | [] | fix https://github.com/huggingface/datasets/actions/runs/4156059127/jobs/7189576331 | true |
1,580,488,133 | https://api.github.com/repos/huggingface/datasets/issues/5526 | https://github.com/huggingface/datasets/pull/5526 | 5,526 | Allow loading/saving of FAISS index using fsspec | closed | 4 | 2023-02-10T23:37:14 | 2023-03-27T15:26:46 | 2023-03-27T15:18:20 | Dref360 | [] | 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.
| true |
1,580,342,729 | https://api.github.com/repos/huggingface/datasets/issues/5525 | https://github.com/huggingface/datasets/issues/5525 | 5,525 | TypeError: Couldn't cast array of type string to null | closed | 6 | 2023-02-10T21:12:36 | 2023-02-14T17:41:08 | 2023-02-14T09:35:49 | TJ-Solergibert | [] | ### 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... | false |
1,580,219,454 | https://api.github.com/repos/huggingface/datasets/issues/5524 | https://github.com/huggingface/datasets/pull/5524 | 5,524 | [INVALID PR] | closed | 1 | 2023-02-10T19:35:50 | 2023-02-10T19:51:45 | 2023-02-10T19:49:12 | alvarobartt | [] | 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 ... | true |
1,580,193,015 | https://api.github.com/repos/huggingface/datasets/issues/5523 | https://github.com/huggingface/datasets/issues/5523 | 5,523 | Checking that split name is correct happens only after the data is downloaded | open | 0 | 2023-02-10T19:13:03 | 2023-02-10T19:14:50 | null | polinaeterna | [
"bug"
] | ### Describe the bug
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... | false |
1,580,183,124 | https://api.github.com/repos/huggingface/datasets/issues/5522 | https://github.com/huggingface/datasets/pull/5522 | 5,522 | Minor changes in JAX-formatting docstrings & type-hints | closed | 16 | 2023-02-10T19:05:00 | 2023-02-15T14:48:27 | 2023-02-15T13:19:06 | alvarobartt | [] | 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... | true |
1,578,418,289 | https://api.github.com/repos/huggingface/datasets/issues/5521 | https://github.com/huggingface/datasets/pull/5521 | 5,521 | Fix bug when casting empty array to class labels | closed | 1 | 2023-02-09T18:47:59 | 2023-02-13T20:40:48 | 2023-02-12T11:17:17 | marioga | [] | Fix https://github.com/huggingface/datasets/issues/5520. | true |
1,578,417,074 | https://api.github.com/repos/huggingface/datasets/issues/5520 | https://github.com/huggingface/datasets/issues/5520 | 5,520 | ClassLabel.cast_storage raises TypeError when called on an empty IntegerArray | closed | 0 | 2023-02-09T18:46:52 | 2023-02-12T11:17:18 | 2023-02-12T11:17:18 | marioga | [] | ### Describe the bug
`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... | false |
1,578,341,785 | https://api.github.com/repos/huggingface/datasets/issues/5519 | https://github.com/huggingface/datasets/pull/5519 | 5,519 | Lint code with `ruff` | closed | 6 | 2023-02-09T17:50:21 | 2024-06-01T15:35:02 | 2023-02-14T16:18:38 | mariosasko | [] | 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... | true |
1,578,203,962 | https://api.github.com/repos/huggingface/datasets/issues/5518 | https://github.com/huggingface/datasets/pull/5518 | 5,518 | Remove py.typed | closed | 3 | 2023-02-09T16:22:29 | 2023-02-13T13:55:49 | 2023-02-13T13:48:40 | mariosasko | [] | Fix https://github.com/huggingface/datasets/issues/3841 | true |
1,577,976,608 | https://api.github.com/repos/huggingface/datasets/issues/5517 | https://github.com/huggingface/datasets/issues/5517 | 5,517 | `with_format("numpy")` silently downcasts float64 to float32 features | open | 13 | 2023-02-09T14:18:00 | 2024-01-18T08:42:17 | null | ernestum | [] | ### 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(... | false |
1,577,661,640 | https://api.github.com/repos/huggingface/datasets/issues/5516 | https://github.com/huggingface/datasets/pull/5516 | 5,516 | Reload features from Parquet metadata | closed | 4 | 2023-02-09T10:52:15 | 2023-02-12T16:00:00 | 2023-02-12T15:57:01 | MFreidank | [] | 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... | true |
1,577,590,611 | https://api.github.com/repos/huggingface/datasets/issues/5515 | https://github.com/huggingface/datasets/pull/5515 | 5,515 | Unify `load_from_cache_file` type and logic | closed | 4 | 2023-02-09T10:04:46 | 2023-02-14T15:38:13 | 2023-02-14T14:26:42 | HallerPatrick | [] | * Updating type annotations for #`load_from_cache_file`
* Added logic for cache checking if needed
* Updated documentation following the wording of `Dataset.map` | true |
1,576,453,837 | https://api.github.com/repos/huggingface/datasets/issues/5514 | https://github.com/huggingface/datasets/issues/5514 | 5,514 | Improve inconsistency of `Dataset.map` interface for `load_from_cache_file` | closed | 4 | 2023-02-08T16:40:44 | 2023-02-14T14:26:44 | 2023-02-14T14:26:44 | HallerPatrick | [
"enhancement"
] | ### 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_... | false |
1,576,300,803 | https://api.github.com/repos/huggingface/datasets/issues/5513 | 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? | closed | 4 | 2023-02-08T15:13:46 | 2023-07-24T16:02:18 | 2023-07-24T14:27:59 | alvarobartt | [] | 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... | false |
1,576,142,432 | https://api.github.com/repos/huggingface/datasets/issues/5512 | https://github.com/huggingface/datasets/pull/5512 | 5,512 | Speed up batched PyTorch DataLoader | closed | 9 | 2023-02-08T13:38:59 | 2023-02-19T18:35:09 | 2023-02-19T18:27:29 | lhoestq | [] | I implemented `__getitems__` to speed up batched data loading in PyTorch
close https://github.com/huggingface/datasets/issues/5505 | true |
1,575,851,768 | https://api.github.com/repos/huggingface/datasets/issues/5511 | https://github.com/huggingface/datasets/issues/5511 | 5,511 | Creating a dummy dataset from a bigger one | closed | 8 | 2023-02-08T10:18:41 | 2023-12-28T18:21:01 | 2023-02-08T10:35:48 | patrickvonplaten | [] | ### 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... | false |
1,575,191,549 | https://api.github.com/repos/huggingface/datasets/issues/5510 | https://github.com/huggingface/datasets/pull/5510 | 5,510 | Milvus integration for search | open | 5 | 2023-02-07T23:30:26 | 2023-02-24T16:45:09 | null | filip-halt | [] | Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com> | true |
1,574,177,320 | https://api.github.com/repos/huggingface/datasets/issues/5509 | https://github.com/huggingface/datasets/pull/5509 | 5,509 | Add a static `__all__` to `__init__.py` for typecheckers | open | 2 | 2023-02-07T11:42:40 | 2023-02-08T17:48:24 | null | LoicGrobol | [] | 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... | true |
1,573,290,359 | https://api.github.com/repos/huggingface/datasets/issues/5508 | https://github.com/huggingface/datasets/issues/5508 | 5,508 | Saving a dataset after setting format to torch doesn't work, but only if filtering | closed | 2 | 2023-02-06T21:08:58 | 2023-02-09T14:55:26 | 2023-02-09T14:55:26 | joebhakim | [] | ### 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
>> [..... | false |
1,572,667,036 | https://api.github.com/repos/huggingface/datasets/issues/5507 | https://github.com/huggingface/datasets/issues/5507 | 5,507 | Optimise behaviour in respect to indices mapping | open | 0 | 2023-02-06T14:25:55 | 2023-02-28T18:19:18 | null | mariosasko | [
"enhancement"
] | _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... | false |
1,571,838,641 | https://api.github.com/repos/huggingface/datasets/issues/5506 | https://github.com/huggingface/datasets/issues/5506 | 5,506 | IterableDataset and Dataset return different batch sizes when using Trainer with multiple GPUs | closed | 4 | 2023-02-06T03:26:03 | 2023-02-08T18:30:08 | 2023-02-08T18:30:07 | kheyer | [] | ### 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... | false |
1,571,720,814 | https://api.github.com/repos/huggingface/datasets/issues/5505 | https://github.com/huggingface/datasets/issues/5505 | 5,505 | PyTorch BatchSampler still loads from Dataset one-by-one | closed | 2 | 2023-02-06T01:14:55 | 2023-02-19T18:27:30 | 2023-02-19T18:27:30 | davidgilbertson | [] | ### 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... | false |
1,570,621,242 | https://api.github.com/repos/huggingface/datasets/issues/5504 | https://github.com/huggingface/datasets/pull/5504 | 5,504 | don't zero copy timestamps | closed | 3 | 2023-02-03T23:39:04 | 2023-02-08T17:28:50 | 2023-02-08T14:33:17 | dwyatte | [] | 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 | true |
1,570,091,225 | https://api.github.com/repos/huggingface/datasets/issues/5502 | https://github.com/huggingface/datasets/pull/5502 | 5,502 | Added functionality: sort datasets by multiple keys | closed | 5 | 2023-02-03T16:17:00 | 2023-02-21T14:46:49 | 2023-02-21T14:39:23 | MichlF | [] | Added functionality implementation: sort datasets by multiple keys/columns as discussed in https://github.com/huggingface/datasets/issues/5425. | true |
1,569,644,159 | https://api.github.com/repos/huggingface/datasets/issues/5501 | https://github.com/huggingface/datasets/pull/5501 | 5,501 | Increase chunk size for speeding up file downloads | open | 4 | 2023-02-03T10:50:10 | 2023-02-09T11:04:11 | null | Narsil | [] | 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` ? | true |
1,569,257,240 | https://api.github.com/repos/huggingface/datasets/issues/5500 | https://github.com/huggingface/datasets/issues/5500 | 5,500 | WMT19 custom download checksum error | closed | 1 | 2023-02-03T05:45:37 | 2023-02-03T05:52:56 | 2023-02-03T05:52:56 | Hannibal046 | [] | ### 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... | false |
1,568,937,026 | https://api.github.com/repos/huggingface/datasets/issues/5499 | https://github.com/huggingface/datasets/issues/5499 | 5,499 | `load_dataset` has ~4 seconds of overhead for cached data | open | 2 | 2023-02-02T23:34:50 | 2023-02-07T19:35:11 | null | davidgilbertson | [
"enhancement"
] | ### 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... | false |
1,568,190,529 | https://api.github.com/repos/huggingface/datasets/issues/5498 | https://github.com/huggingface/datasets/issues/5498 | 5,498 | TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset | closed | 3 | 2023-02-02T14:46:49 | 2023-10-08T06:12:47 | 2023-02-04T17:19:36 | vmuel | [] | ### 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 ... | false |
1,567,601,264 | https://api.github.com/repos/huggingface/datasets/issues/5497 | https://github.com/huggingface/datasets/pull/5497 | 5,497 | Improved error message for gated/private repos | closed | 3 | 2023-02-02T08:56:15 | 2023-02-02T11:26:08 | 2023-02-02T11:17:15 | osanseviero | [] | 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 | true |
1,567,301,765 | https://api.github.com/repos/huggingface/datasets/issues/5496 | https://github.com/huggingface/datasets/issues/5496 | 5,496 | Add a `reduce` method | closed | 4 | 2023-02-02T04:30:22 | 2024-11-12T05:58:14 | 2023-07-21T14:24:32 | zhangir-azerbayev | [
"enhancement"
] | ### 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... | false |
1,566,803,452 | https://api.github.com/repos/huggingface/datasets/issues/5495 | https://github.com/huggingface/datasets/issues/5495 | 5,495 | to_tf_dataset fails with datetime UTC columns even if not included in columns argument | closed | 2 | 2023-02-01T20:47:33 | 2023-02-08T14:33:19 | 2023-02-08T14:33:19 | dwyatte | [
"bug",
"good first issue"
] | ### 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... | false |
1,566,655,348 | https://api.github.com/repos/huggingface/datasets/issues/5494 | https://github.com/huggingface/datasets/issues/5494 | 5,494 | Update audio installation doc page | closed | 4 | 2023-02-01T19:07:50 | 2023-03-02T16:08:17 | 2023-03-02T16:08:17 | polinaeterna | [
"documentation"
] | 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... | false |
1,566,637,806 | https://api.github.com/repos/huggingface/datasets/issues/5493 | https://github.com/huggingface/datasets/pull/5493 | 5,493 | Remove unused `load_from_cache_file` arg from `Dataset.shard()` docstring | closed | 3 | 2023-02-01T18:57:48 | 2023-02-08T15:10:46 | 2023-02-08T15:03:50 | polinaeterna | [] | null | true |
1,566,604,216 | https://api.github.com/repos/huggingface/datasets/issues/5492 | https://github.com/huggingface/datasets/issues/5492 | 5,492 | Push_to_hub in a pull request | closed | 2 | 2023-02-01T18:32:14 | 2023-10-16T13:30:48 | 2023-10-16T13:30:48 | lhoestq | [
"enhancement",
"good first issue"
] | 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... | false |
1,566,235,012 | https://api.github.com/repos/huggingface/datasets/issues/5491 | https://github.com/huggingface/datasets/pull/5491 | 5,491 | [MINOR] Typo | closed | 2 | 2023-02-01T14:39:39 | 2023-02-02T07:42:28 | 2023-02-02T07:35:14 | cakiki | [] | null | true |
1,565,842,327 | https://api.github.com/repos/huggingface/datasets/issues/5490 | https://github.com/huggingface/datasets/pull/5490 | 5,490 | Do not add index column by default when exporting to CSV | closed | 2 | 2023-02-01T10:20:55 | 2023-02-09T09:29:08 | 2023-02-09T09:22:23 | albertvillanova | [] | 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... | true |
1,565,761,705 | https://api.github.com/repos/huggingface/datasets/issues/5489 | https://github.com/huggingface/datasets/pull/5489 | 5,489 | Pin dill lower version | closed | 2 | 2023-02-01T09:33:42 | 2023-02-02T07:48:09 | 2023-02-02T07:40:43 | albertvillanova | [] | 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... | true |
1,565,025,262 | https://api.github.com/repos/huggingface/datasets/issues/5488 | https://github.com/huggingface/datasets/issues/5488 | 5,488 | Error loading MP3 files from CommonVoice | closed | 4 | 2023-01-31T21:25:33 | 2023-03-02T16:25:14 | 2023-03-02T16:25:13 | kradonneoh | [] | ### 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... | false |
1,564,480,121 | https://api.github.com/repos/huggingface/datasets/issues/5487 | https://github.com/huggingface/datasets/issues/5487 | 5,487 | Incorrect filepath for dill module | closed | 5 | 2023-01-31T15:01:08 | 2023-02-24T16:18:36 | 2023-02-24T16:18:36 | avivbrokman | [] | ### 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/... | false |
1,564,059,749 | https://api.github.com/repos/huggingface/datasets/issues/5486 | https://github.com/huggingface/datasets/issues/5486 | 5,486 | Adding `sep` to TextConfig | open | 2 | 2023-01-31T10:39:53 | 2023-01-31T14:50:18 | null | omar-araboghli | [] | 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'` ... | false |
1,563,002,829 | https://api.github.com/repos/huggingface/datasets/issues/5485 | https://github.com/huggingface/datasets/pull/5485 | 5,485 | Add section in tutorial for IterableDataset | closed | 2 | 2023-01-30T18:43:04 | 2023-02-01T18:15:38 | 2023-02-01T18:08:46 | stevhliu | [] | 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... | true |
1,562,877,070 | https://api.github.com/repos/huggingface/datasets/issues/5484 | https://github.com/huggingface/datasets/pull/5484 | 5,484 | Update docs for `nyu_depth_v2` dataset | closed | 6 | 2023-01-30T17:37:08 | 2023-09-29T06:43:11 | 2023-02-05T14:15:04 | awsaf49 | [] | 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... | true |
1,560,894,690 | https://api.github.com/repos/huggingface/datasets/issues/5483 | https://github.com/huggingface/datasets/issues/5483 | 5,483 | Unable to upload dataset | closed | 1 | 2023-01-28T15:18:26 | 2023-01-29T08:09:49 | 2023-01-29T08:09:49 | yuvalkirstain | [] | ### 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... | false |
1,560,853,137 | https://api.github.com/repos/huggingface/datasets/issues/5482 | https://github.com/huggingface/datasets/issues/5482 | 5,482 | Reload features from Parquet metadata | closed | 3 | 2023-01-28T13:12:31 | 2023-02-12T15:57:02 | 2023-02-12T15:57:02 | lhoestq | [
"enhancement",
"good second issue"
] | 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... | false |
1,560,468,195 | https://api.github.com/repos/huggingface/datasets/issues/5481 | https://github.com/huggingface/datasets/issues/5481 | 5,481 | Load a cached dataset as iterable | open | 22 | 2023-01-27T21:43:51 | 2025-06-19T19:30:52 | null | lhoestq | [
"enhancement",
"good second issue"
] | 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 | false |
1,560,364,866 | https://api.github.com/repos/huggingface/datasets/issues/5480 | https://github.com/huggingface/datasets/pull/5480 | 5,480 | Select columns of Dataset or DatasetDict | closed | 2 | 2023-01-27T20:06:16 | 2023-02-13T11:10:13 | 2023-02-13T09:59:35 | daskol | [] | Close #5474 and #5468. | true |
1,560,357,590 | https://api.github.com/repos/huggingface/datasets/issues/5479 | 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 | closed | 0 | 2023-01-27T20:01:22 | 2023-01-29T05:23:14 | 2023-01-29T05:23:14 | jcho19 | [] | ### Describe the bug
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... | false |
1,560,357,583 | https://api.github.com/repos/huggingface/datasets/issues/5478 | https://github.com/huggingface/datasets/pull/5478 | 5,478 | Tip for recomputing metadata | closed | 2 | 2023-01-27T20:01:22 | 2023-01-30T19:22:21 | 2023-01-30T19:15:26 | stevhliu | [] | 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. | true |
1,559,909,892 | https://api.github.com/repos/huggingface/datasets/issues/5477 | https://github.com/huggingface/datasets/issues/5477 | 5,477 | Unpin sqlalchemy once issue is fixed | closed | 2 | 2023-01-27T15:01:55 | 2024-01-26T14:50:45 | 2024-01-26T14:50:45 | albertvillanova | [] | Once the source issue is fixed:
- pandas-dev/pandas#51015
we should revert the pin introduced in:
- #5476 | false |
1,559,594,684 | https://api.github.com/repos/huggingface/datasets/issues/5476 | https://github.com/huggingface/datasets/pull/5476 | 5,476 | Pin sqlalchemy | closed | 3 | 2023-01-27T11:26:38 | 2023-01-27T12:06:51 | 2023-01-27T11:57:48 | lhoestq | [] | since sqlalchemy update to 2.0.0 the CI started to fail: https://github.com/huggingface/datasets/actions/runs/4023742457/jobs/6914976514
the error comes from pandas: https://github.com/pandas-dev/pandas/issues/51015 | true |
1,559,030,149 | https://api.github.com/repos/huggingface/datasets/issues/5475 | https://github.com/huggingface/datasets/issues/5475 | 5,475 | Dataset scan time is much slower than using native arrow | closed | 3 | 2023-01-27T01:32:25 | 2023-01-30T16:17:11 | 2023-01-30T16:17:11 | jonny-cyberhaven | [] | ### 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... | false |
1,558,827,155 | https://api.github.com/repos/huggingface/datasets/issues/5474 | https://github.com/huggingface/datasets/issues/5474 | 5,474 | Column project operation on `datasets.Dataset` | closed | 1 | 2023-01-26T21:47:53 | 2023-02-13T09:59:37 | 2023-02-13T09:59:37 | daskol | [
"duplicate",
"enhancement"
] | ### 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... | false |
1,558,668,197 | https://api.github.com/repos/huggingface/datasets/issues/5473 | https://github.com/huggingface/datasets/pull/5473 | 5,473 | Set dev version | closed | 3 | 2023-01-26T19:34:44 | 2023-01-26T19:47:34 | 2023-01-26T19:38:30 | lhoestq | [] | null | true |
1,558,662,251 | https://api.github.com/repos/huggingface/datasets/issues/5472 | https://github.com/huggingface/datasets/pull/5472 | 5,472 | Release: 2.9.0 | closed | 4 | 2023-01-26T19:29:42 | 2023-01-26T19:40:44 | 2023-01-26T19:33:00 | lhoestq | [] | null | true |
1,558,557,545 | https://api.github.com/repos/huggingface/datasets/issues/5471 | https://github.com/huggingface/datasets/pull/5471 | 5,471 | Add num_test_batches option | closed | 4 | 2023-01-26T18:09:40 | 2023-01-27T18:16:45 | 2023-01-27T18:08:36 | amyeroberts | [] | `to_tf_dataset` calls can be very costly because of the number of test batches drawn during `_get_output_signature`. The test batches are draw in order to estimate the shapes when creating the tensorflow dataset. This is necessary when the shapes can be irregular, but not in cases when the tensor shapes are the same ac... | true |
1,558,542,611 | https://api.github.com/repos/huggingface/datasets/issues/5470 | https://github.com/huggingface/datasets/pull/5470 | 5,470 | Update dataset card creation | closed | 4 | 2023-01-26T17:57:51 | 2023-01-27T16:27:00 | 2023-01-27T16:20:10 | stevhliu | [] | Encourages users to create a dataset card on the Hub directly with the new metadata ui + import dataset card template instead of telling users to manually create and upload one. | true |
1,558,346,906 | https://api.github.com/repos/huggingface/datasets/issues/5469 | https://github.com/huggingface/datasets/pull/5469 | 5,469 | Remove deprecated `shard_size` arg from `.push_to_hub()` | closed | 2 | 2023-01-26T15:40:56 | 2023-01-26T17:37:51 | 2023-01-26T17:30:59 | polinaeterna | [] | The docstrings say that it was supposed to be deprecated since version 2.4.0, can we remove it? | true |
1,558,066,625 | https://api.github.com/repos/huggingface/datasets/issues/5468 | https://github.com/huggingface/datasets/issues/5468 | 5,468 | Allow opposite of remove_columns on Dataset and DatasetDict | closed | 9 | 2023-01-26T12:28:09 | 2023-02-13T09:59:38 | 2023-02-13T09:59:38 | hollance | [
"enhancement",
"good first issue"
] | ### 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... | false |
1,557,898,273 | https://api.github.com/repos/huggingface/datasets/issues/5467 | https://github.com/huggingface/datasets/pull/5467 | 5,467 | Fix conda command in readme | closed | 4 | 2023-01-26T10:03:01 | 2023-09-24T10:06:59 | 2023-01-26T18:29:37 | lhoestq | [] | 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
``` | true |
1,557,584,845 | https://api.github.com/repos/huggingface/datasets/issues/5466 | https://github.com/huggingface/datasets/pull/5466 | 5,466 | remove pathlib.Path with URIs | closed | 5 | 2023-01-26T03:25:45 | 2023-01-26T17:08:57 | 2023-01-26T16:59:11 | jonny-cyberhaven | [] | Pathlib will convert "//" to "/" which causes retry errors when downloading from cloud storage | true |
1,557,510,618 | https://api.github.com/repos/huggingface/datasets/issues/5465 | https://github.com/huggingface/datasets/issues/5465 | 5,465 | audiofolder creates empty dataset even though the dataset passed in follows the correct structure | closed | 0 | 2023-01-26T01:45:45 | 2023-01-26T08:48:45 | 2023-01-26T08:48:45 | jcho19 | [] | ### Describe the bug
The structure of my dataset folder called "my_dataset" is : data metadata.csv
The data folder consists of all mp3 files and metadata.csv consist of file locations like 'data/...mp3 and transcriptions. There's 400+ mp3 files and corresponding transcriptions for my dataset.
When I run the follo... | false |
1,557,462,104 | https://api.github.com/repos/huggingface/datasets/issues/5464 | https://github.com/huggingface/datasets/issues/5464 | 5,464 | NonMatchingChecksumError for hendrycks_test | closed | 2 | 2023-01-26T00:43:23 | 2023-01-27T05:44:31 | 2023-01-26T07:41:58 | sarahwie | [] | ### Describe the bug
The checksum of the file has likely changed on the remote host.
### Steps to reproduce the bug
`dataset = nlp.load_dataset("hendrycks_test", "anatomy")`
### Expected behavior
no error thrown
### Environment info
- `datasets` version: 2.2.1
- Platform: macOS-13.1-arm64-arm-64bit
- Pyt... | false |
1,557,021,041 | https://api.github.com/repos/huggingface/datasets/issues/5463 | https://github.com/huggingface/datasets/pull/5463 | 5,463 | Imagefolder docs: mention support of CSV and ZIP | closed | 3 | 2023-01-25T17:24:01 | 2023-01-25T18:33:35 | 2023-01-25T18:26:15 | lhoestq | [] | null | true |
1,556,572,144 | https://api.github.com/repos/huggingface/datasets/issues/5462 | https://github.com/huggingface/datasets/pull/5462 | 5,462 | Concatenate on axis=1 with misaligned blocks | closed | 4 | 2023-01-25T12:33:22 | 2023-01-26T09:37:00 | 2023-01-26T09:27:19 | lhoestq | [] | Allow to concatenate on axis 1 two tables made of misaligned blocks.
For example if the first table has 2 row blocks of 3 rows each, and the second table has 3 row blocks or 2 rows each.
To do that, I slice the row blocks to re-align the blocks.
Fix https://github.com/huggingface/datasets/issues/5413 | true |
1,555,532,719 | https://api.github.com/repos/huggingface/datasets/issues/5461 | https://github.com/huggingface/datasets/issues/5461 | 5,461 | Discrepancy in `nyu_depth_v2` dataset | open | 37 | 2023-01-24T19:15:46 | 2023-02-06T20:52:00 | null | awsaf49 | [] | ### Describe the bug
I think there is a 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 different from actual ones. Here is a side-by-sid... | false |
1,555,387,532 | https://api.github.com/repos/huggingface/datasets/issues/5460 | https://github.com/huggingface/datasets/pull/5460 | 5,460 | Document that removing all the columns returns an empty document and the num_row is lost | closed | 4 | 2023-01-24T17:33:38 | 2023-01-25T16:11:10 | 2023-01-25T16:04:03 | thomasw21 | [] | null | true |
1,555,367,504 | https://api.github.com/repos/huggingface/datasets/issues/5459 | https://github.com/huggingface/datasets/pull/5459 | 5,459 | Disable aiohttp requoting of redirection URL | closed | 7 | 2023-01-24T17:18:59 | 2024-09-01T18:08:31 | 2023-01-31T08:37:54 | albertvillanova | [] | The library `aiohttp` performs a requoting of redirection URLs that unquotes the single quotation mark character: `%27` => `'`
This is a problem for our Hugging Face Hub, which requires exact URL from location header.
Specifically, in the query component of the URL (`https://netloc/path?query`), the value for `re... | true |
1,555,054,737 | https://api.github.com/repos/huggingface/datasets/issues/5458 | https://github.com/huggingface/datasets/issues/5458 | 5,458 | slice split while streaming | closed | 2 | 2023-01-24T14:08:17 | 2023-01-24T15:11:47 | 2023-01-24T15:11:47 | SvenDS9 | [] | ### Describe the bug
When using the `load_dataset` function with streaming set to True, slicing splits is apparently not supported.
Did I miss this in the documentation?
### Steps to reproduce the bug
`load_dataset("lhoestq/demo1",revision=None, streaming=True, split="train[:3]")`
causes ValueError: Bad split:... | false |
1,554,171,264 | https://api.github.com/repos/huggingface/datasets/issues/5457 | https://github.com/huggingface/datasets/issues/5457 | 5,457 | prebuilt dataset relies on `downloads/extracted` | open | 3 | 2023-01-24T02:09:32 | 2024-11-18T07:43:51 | null | stas00 | [] | ### Describe the bug
I pre-built the dataset:
```
python -c 'import sys; from datasets import load_dataset; ds=load_dataset(sys.argv[1])' HuggingFaceM4/general-pmd-synthetic-testing
```
and it can be used just fine.
now I wipe out `downloads/extracted` and it no longer works.
```
rm -r ~/.cache/huggingface... | false |
1,553,905,148 | https://api.github.com/repos/huggingface/datasets/issues/5456 | https://github.com/huggingface/datasets/pull/5456 | 5,456 | feat: tqdm for `to_parquet` | closed | 2 | 2023-01-23T22:05:38 | 2023-01-24T11:26:47 | 2023-01-24T11:17:12 | zanussbaum | [] | As described in #5418
I noticed also that the `to_json` function supports multi-workers whereas `to_parquet`, is that not possible/not needed with Parquet or something that hasn't been implemented yet? | true |
1,553,040,080 | https://api.github.com/repos/huggingface/datasets/issues/5455 | https://github.com/huggingface/datasets/pull/5455 | 5,455 | Single TQDM bar in multi-proc map | closed | 12 | 2023-01-23T12:49:40 | 2023-02-13T20:23:34 | 2023-02-13T20:16:38 | mariosasko | [] | Use the "shard generator approach with periodic progress updates" (used in `save_to_disk` and multi-proc `load_dataset`) in `Dataset.map` to enable having a single TQDM progress bar in the multi-proc mode.
Closes https://github.com/huggingface/datasets/issues/771, closes https://github.com/huggingface/datasets/issue... | true |
1,552,890,419 | https://api.github.com/repos/huggingface/datasets/issues/5454 | https://github.com/huggingface/datasets/issues/5454 | 5,454 | Save and resume the state of a DataLoader | open | 21 | 2023-01-23T10:58:54 | 2024-11-27T01:19:21 | null | lhoestq | [
"enhancement",
"generic discussion"
] | It would be nice when using `datasets` with a PyTorch DataLoader to be able to resume a training from a DataLoader state (e.g. to resume a training that crashed)
What I have in mind (but lmk if you have other ideas or comments):
For map-style datasets, this requires to have a PyTorch Sampler state that can be sav... | false |
1,552,727,425 | https://api.github.com/repos/huggingface/datasets/issues/5453 | https://github.com/huggingface/datasets/pull/5453 | 5,453 | Fix base directory while extracting insecure TAR files | closed | 3 | 2023-01-23T08:57:40 | 2023-01-24T01:34:20 | 2023-01-23T10:10:42 | albertvillanova | [] | This PR fixes the extraction of insecure TAR files by changing the base path against which TAR members are compared:
- from: "."
- to: `output_path`
This PR also adds tests for extracting insecure TAR files.
Related to:
- #5441
- #5452
@stas00 please note this PR addresses just one of the issues you pointe... | true |
1,552,655,939 | https://api.github.com/repos/huggingface/datasets/issues/5452 | https://github.com/huggingface/datasets/pull/5452 | 5,452 | Swap log messages for symbolic/hard links in tar extractor | closed | 2 | 2023-01-23T07:53:38 | 2023-01-23T09:40:55 | 2023-01-23T08:31:17 | albertvillanova | [] | The log messages do not match their if-condition. This PR swaps them.
Found while investigating:
- #5441
CC: @lhoestq | true |
1,552,336,300 | https://api.github.com/repos/huggingface/datasets/issues/5451 | https://github.com/huggingface/datasets/issues/5451 | 5,451 | ImageFolder BadZipFile: Bad offset for central directory | closed | 3 | 2023-01-22T23:50:12 | 2023-05-23T10:35:48 | 2023-02-10T16:31:36 | hmartiro | [] | ### Describe the bug
I'm getting the following exception:
```
lib/python3.10/zipfile.py:1353 in _RealGetContents │
│ │
│ 1350 │ │ # self.start_dir: Position of start of central directory ... | false |
1,551,109,365 | https://api.github.com/repos/huggingface/datasets/issues/5450 | https://github.com/huggingface/datasets/issues/5450 | 5,450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | closed | 7 | 2023-01-20T16:08:37 | 2023-02-13T14:13:34 | 2023-02-13T14:13:34 | Rocketknight1 | [] | ### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | false |
1,550,801,453 | https://api.github.com/repos/huggingface/datasets/issues/5449 | https://github.com/huggingface/datasets/pull/5449 | 5,449 | Support fsspec 2023.1.0 in CI | closed | 2 | 2023-01-20T12:53:17 | 2023-01-20T13:32:50 | 2023-01-20T13:26:03 | albertvillanova | [] | Support fsspec 2023.1.0 in CI.
In the 2023.1.0 fsspec release, they replaced the type of `fsspec.registry`:
- from `ReadOnlyRegistry`, with an attribute called `target`
- to `MappingProxyType`, without that attribute
Consequently, we need to change our `mock_fsspec` fixtures, that were using the `target` attrib... | true |
1,550,618,514 | https://api.github.com/repos/huggingface/datasets/issues/5448 | https://github.com/huggingface/datasets/issues/5448 | 5,448 | Support fsspec 2023.1.0 in CI | closed | 0 | 2023-01-20T10:26:31 | 2023-01-20T13:26:05 | 2023-01-20T13:26:05 | albertvillanova | [
"enhancement"
] | Once we find out the root cause of:
- #5445
we should revert the temporary pin on fsspec introduced by:
- #5447 | false |
1,550,599,193 | https://api.github.com/repos/huggingface/datasets/issues/5447 | https://github.com/huggingface/datasets/pull/5447 | 5,447 | Fix CI by temporarily pinning fsspec < 2023.1.0 | closed | 2 | 2023-01-20T10:11:02 | 2023-01-20T10:38:13 | 2023-01-20T10:28:43 | albertvillanova | [] | Temporarily pin fsspec < 2023.1.0
Fix #5445. | true |
1,550,591,588 | https://api.github.com/repos/huggingface/datasets/issues/5446 | https://github.com/huggingface/datasets/pull/5446 | 5,446 | test v0.12.0.rc0 | closed | 5 | 2023-01-20T10:05:19 | 2023-01-20T10:43:22 | 2023-01-20T10:13:48 | Wauplin | [] | DO NOT MERGE.
Only to test the CI.
cc @lhoestq @albertvillanova | true |
1,550,588,703 | https://api.github.com/repos/huggingface/datasets/issues/5445 | https://github.com/huggingface/datasets/issues/5445 | 5,445 | CI tests are broken: AttributeError: 'mappingproxy' object has no attribute 'target' | closed | 0 | 2023-01-20T10:03:10 | 2023-01-20T10:28:44 | 2023-01-20T10:28:44 | albertvillanova | [
"bug"
] | CI tests are broken, raising `AttributeError: 'mappingproxy' object has no attribute 'target'`. See: https://github.com/huggingface/datasets/actions/runs/3966497597/jobs/6797384185
```
...
ERROR tests/test_streaming_download_manager.py::TestxPath::test_xpath_rglob[mock://top_level-date=2019-10-0[1-4]/*-expected_path... | false |
1,550,185,071 | https://api.github.com/repos/huggingface/datasets/issues/5444 | https://github.com/huggingface/datasets/issues/5444 | 5,444 | info messages logged as warnings | closed | 7 | 2023-01-20T01:19:18 | 2023-07-12T17:19:31 | 2023-07-12T17:19:31 | davidgilbertson | [] | ### Describe the bug
Code in `datasets` is using `logger.warning` when it should be using `logger.info`.
Some of these are probably a matter of opinion, but I think anything starting with `logger.warning(f"Loading chached` clearly falls into the info category.
Definitions from the Python docs for reference:
* I... | false |
1,550,178,914 | https://api.github.com/repos/huggingface/datasets/issues/5443 | https://github.com/huggingface/datasets/pull/5443 | 5,443 | Update share tutorial | closed | 2 | 2023-01-20T01:09:14 | 2023-01-20T15:44:45 | 2023-01-20T15:37:30 | stevhliu | [] | Based on feedback from discussion #5423, this PR updates the sharing tutorial with a mention of writing your own dataset loading script to support more advanced dataset creation options like multiple configs.
I'll open a separate PR to update the *Create a Dataset card* with the new Hub metadata UI update 😄 | true |
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