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https://api.github.com/repos/huggingface/datasets/issues/3766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3766/comments | https://api.github.com/repos/huggingface/datasets/issues/3766/events | https://github.com/huggingface/datasets/pull/3766 | 1,145,829,289 | PR_kwDODunzps4zOujH | 3,766 | Fix head_qa data URL | {
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https://api.github.com/repos/huggingface/datasets/issues/3765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3765/comments | https://api.github.com/repos/huggingface/datasets/issues/3765/events | https://github.com/huggingface/datasets/pull/3765 | 1,145,126,881 | PR_kwDODunzps4zMdIL | 3,765 | Update URL for tagging app | {
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"Oh, this URL shouldn't be updated to the tagging app as it's actually used for creating the README - closing this."
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https://api.github.com/repos/huggingface/datasets/issues/3764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3764/comments | https://api.github.com/repos/huggingface/datasets/issues/3764/events | https://github.com/huggingface/datasets/issues/3764 | 1,145,107,050 | I_kwDODunzps5EQPJq | 3,764 | ! | {
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**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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https://api.github.com/repos/huggingface/datasets/issues/3763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3763/comments | https://api.github.com/repos/huggingface/datasets/issues/3763/events | https://github.com/huggingface/datasets/issues/3763 | 1,145,099,878 | I_kwDODunzps5EQNZm | 3,763 | It's not possible download `20200501.pt` dataset | {
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"Hi @jvanz, thanks for reporting.\r\n\r\nPlease note that Wikimedia website does not longer host Wikipedia dumps for so old dates.\r\n\r\nFor a list of accessible dump dates of `pt` Wikipedia, please see: https://dumps.wikimedia.org/ptwiki/\r\n\r\nYou can load for example `20220220` `pt` Wikipedia:\r\n```python\r\n... | 1,645,382,098,000 | 1,645,445,172,000 | 1,645,435,506,000 | NONE | null | null | {
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} | ## Describe the bug
The dataset `20200501.pt` is broken.
The available datasets: https://dumps.wikimedia.org/ptwiki/
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("wikipedia", "20200501.pt", beam_runner='DirectRunner')
```
## Expected results
I expect t... | {
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https://api.github.com/repos/huggingface/datasets/issues/3762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3762/comments | https://api.github.com/repos/huggingface/datasets/issues/3762/events | https://github.com/huggingface/datasets/issues/3762 | 1,144,849,557 | I_kwDODunzps5EPQSV | 3,762 | `Dataset.class_encode` should support custom class names | {
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"Hi @Dref360, thanks a lot for your proposal.\r\n\r\nIt totally makes sense to have more flexibility when class encoding, I agree.\r\n\r\nYou could even further customize the class encoding by passing an instance of `ClassLabel` itself (instead of replicating `ClassLabel` instantiation arguments as `Dataset.class_e... | 1,645,305,705,000 | 1,645,445,795,000 | 1,645,445,795,000 | CONTRIBUTOR | null | null | {
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} | I can make a PR, just wanted approval before starting.
**Is your feature request related to a problem? Please describe.**
It is often the case that classes are not ordered in alphabetical order. Current `class_encode_column` sort the classes before indexing.
https://github.com/huggingface/datasets/blob/master/sr... | {
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https://api.github.com/repos/huggingface/datasets/issues/3761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3761/comments | https://api.github.com/repos/huggingface/datasets/issues/3761/events | https://github.com/huggingface/datasets/issues/3761 | 1,144,830,702 | I_kwDODunzps5EPLru | 3,761 | Know your data for HF hub | {
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"Hi @Muhtasham you should take a look at https://huggingface.co/blog/data-measurements-tool and accompanying demo app at https://huggingface.co/spaces/huggingface/data-measurements-tool\r\n\r\nWe would be interested in your feedback. cc @meg-huggingface @sashavor @yjernite "
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} | **Is your feature request related to a problem? Please describe.**
Would be great to see be able to understand datasets with the goal of improving data quality, and helping mitigate fairness and bias issues.
**Describe the solution you'd like**
Something like https://knowyourdata.withgoogle.com/ for HF hub | {
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"Hi @kingabzpro.\r\n\r\nI think you need to create a loading script that creates the dataset from the CSV file and the image paths.\r\n\r\nAs example, you could have a look at the Food-101 dataset: https://huggingface.co/datasets/food101\r\n- Loading script: https://huggingface.co/datasets/food101/blob/main/food101... | 1,645,292,708,000 | 1,645,459,230,000 | 1,645,458,176,000 | NONE | null | null | {
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} | ## Dataset viewer issue for '*savtadepth-flags*'
**Link:** *[savtadepth-flags](https://huggingface.co/datasets/kingabzpro/savtadepth-flags)*
*with the Gradio 2.8.1 the dataset viers stopped working. I tried to add values manually but its not working. The dataset is also not showing the link with the app https://h... | {
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https://api.github.com/repos/huggingface/datasets/issues/3759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3759/comments | https://api.github.com/repos/huggingface/datasets/issues/3759/events | https://github.com/huggingface/datasets/pull/3759 | 1,143,400,770 | PR_kwDODunzps4zGhQu | 3,759 | Rename GenerateMode to DownloadMode | {
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} | This PR:
- Renames `GenerateMode` to `DownloadMode`
- Implements `DeprecatedEnum`
- Deprecates `GenerateMode`
Close #769. | {
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https://api.github.com/repos/huggingface/datasets/issues/3758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3758/comments | https://api.github.com/repos/huggingface/datasets/issues/3758/events | https://github.com/huggingface/datasets/issues/3758 | 1,143,366,393 | I_kwDODunzps5EJmL5 | 3,758 | head_qa file missing | {
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"We usually find issues with files hosted at Google Drive...\r\n\r\nIn this case we download the Google Drive Virus scan warning instead of the data file."
] | 1,645,201,963,000 | 1,645,454,359,000 | 1,645,454,359,000 | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
A file for the `head_qa` dataset is missing (https://drive.google.com/u/0/uc?export=download&id=1a_95N5zQQoUCq8IBNVZgziHbeM-QxG2t/HEAD_EN/train_HEAD_EN.json)
## Steps to reproduce the bug
```python
>>> from datasets import load_dataset
>>> load_dataset("head_qa", name="en")
```
## Expec... | {
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https://api.github.com/repos/huggingface/datasets/issues/3757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3757/comments | https://api.github.com/repos/huggingface/datasets/issues/3757/events | https://github.com/huggingface/datasets/pull/3757 | 1,143,300,880 | PR_kwDODunzps4zGK7p | 3,757 | Add perplexity to metrics | {
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"Awesome thank you ! The implementation of the parent `Metric` class was assuming that all metrics were supposed to have references/predictions pairs - I just changed that so you don't have to override `compute()`. I took the liberty of doing the changes directly inside this PR to make sure it works as expected wit... | 1,645,199,543,000 | 1,645,444,377,000 | null | NONE | null | false | {
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} | Adding perplexity metric
This code differs from the code in [this](https://huggingface.co/docs/transformers/perplexity) HF blog post because the blogpost code fails in at least the following circumstances:
- returns nans whenever the stride = 1
- hits a runtime error when the stride is significantly larger than th... | {
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https://api.github.com/repos/huggingface/datasets/issues/3756 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3756/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3756/comments | https://api.github.com/repos/huggingface/datasets/issues/3756/events | https://github.com/huggingface/datasets/issues/3756 | 1,143,273,825 | I_kwDODunzps5EJPlh | 3,756 | Images get decoded when using `map()` with `input_columns` argument on a dataset | {
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"Hi! If I'm not mistaken, this behavior is intentional, but I agree it could be more intuitive.\r\n\r\n@albertvillanova Do you remember why you decided not to decode columns in the `Audio` feature PR when `input_columns` is not `None`? IMO we should decode those columns, and we don't even have to use lazy structure... | 1,645,198,538,000 | 1,645,463,081,000 | null | NONE | null | null | {
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} | ## Describe the bug
The `datasets.features.Image` feature class decodes image data by default. Expectedly, when indexing a dataset or using the `map()` method, images are returned as PIL Image instances.
However, when calling `map()` and setting a specific data column with the `input_columns` argument, the image ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3755 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3755/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3755/comments | https://api.github.com/repos/huggingface/datasets/issues/3755/events | https://github.com/huggingface/datasets/issues/3755 | 1,143,032,961 | I_kwDODunzps5EIUyB | 3,755 | Cannot preview dataset | {
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"Thanks for reporting. The dataset viewer depends on some backend treatments, and for now, they might take some hours to get processed. We're working on improving it.",
"It has finally been processed. Thanks for the patience.",
"Thanks for the info @severo !"
] | 1,645,189,605,000 | 1,645,281,028,000 | 1,645,198,893,000 | NONE | null | null | {
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} | ## Dataset viewer issue for '*rubrix/news*'
**Link:https://huggingface.co/datasets/rubrix/news** *link to the dataset viewer page*
Cannot see the dataset preview:
```
Status code: 400
Exception: Status400Error
Message: Not found. Cache is waiting to be refreshed.
```
Am I the one who added thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/3754 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3754/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3754/comments | https://api.github.com/repos/huggingface/datasets/issues/3754/events | https://github.com/huggingface/datasets/issues/3754 | 1,142,886,536 | I_kwDODunzps5EHxCI | 3,754 | Overflowing indices in `select` | {
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"Fixed on master (see https://github.com/huggingface/datasets/pull/3719).",
"Awesome, I did not find that one! Thanks."
] | 1,645,183,852,000 | 1,645,184,303,000 | 1,645,184,303,000 | MEMBER | null | null | {
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} | ## Describe the bug
The `Dataset.select` function seems to accept indices that are larger than the dataset size and seems to effectively use `index %len(ds)`.
## Steps to reproduce the bug
```python
from datasets import Dataset
ds = Dataset.from_dict({"test": [1,2,3]})
ds = ds.select(range(5))
print(ds)
p... | {
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https://api.github.com/repos/huggingface/datasets/issues/3753 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3753/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3753/comments | https://api.github.com/repos/huggingface/datasets/issues/3753/events | https://github.com/huggingface/datasets/issues/3753 | 1,142,821,144 | I_kwDODunzps5EHhEY | 3,753 | Expanding streaming capabilities | {
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"Related to: https://github.com/huggingface/datasets/issues/3444",
"Cool ! `filter` will be very useful. There can be a filter that you can apply on a streaming dataset:\r\n```python\r\nload_dataset(..., streaming=True).filter(lambda x: x[\"lang\"] == \"sw\")\r\n```\r\n\r\nOtherwise if you want to apply a filter ... | 1,645,181,141,000 | 1,645,212,570,000 | null | MEMBER | null | null | {
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} | Some ideas for a few features that could be useful when working with large datasets in streaming mode.
## `filter` for `IterableDataset`
Adding filtering to streaming datasets would be useful in several scenarios:
- filter a dataset with many languages for a subset of languages
- filter a dataset for specific li... | {
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Fix #3750. | {
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} | In the README guide (and consequently in many datasets) there was a typo in the train split name:
```
| Tain | Valid | Test |
```
This PR:
- fixes the typo in the train split name
- fixes the column alignment of the split tables
in the README guide and in all datasets. | {
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"Thnaks for reporting @jaketae. We are fixing it. "
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} | ## Describe the bug
Cannot download cats_vs_dogs dataset due to `NonMatchingSplitsSizesError`.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("cats_vs_dogs")
```
## Expected results
Loading is successful.
## Actual results
```
NonMatchingSplitsSiz... | {
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1. It is able to show the progress bar by adding the length of the iterator.
2. Pass in tqdm_kwargs so that can enable more feasibility for the control of tqdm library. | {
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} | ## Describe the bug
Only some datasets have a subset (as in `load_dataset(name, subset)`). If you pass an invalid subset, an error should be thrown.
## Steps to reproduce the bug
```python
import datasets
datasets.load_dataset('rotten_tomatoes', 'asdfasdfa')
```
## Expected results
This should break, since ... | {
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} | When shuffling in streaming mode, those two entangled lists are shuffled independently. In this PR I changed this to shuffle the lists of same length with the exact same seed, in order for the files and metadata to still be aligned.
```python
gen_kwargs = {
"files": [os.path.join(data_dir, filename) for filename... | {
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} | This PR adds the mean Intersection-over-Union metric to the library, useful for tasks like semantic segmentation.
It is entirely based on mmseg's [implementation](https://github.com/open-mmlab/mmsegmentation/blob/master/mmseg/core/evaluation/metrics.py).
I've removed any PyTorch dependency, and rely on Numpy only... | {
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} | Sometimes a dataset script has a `_split_generators` that returns several files as well as the corresponding metadata of each file. It often happens that they end up in two separate lists in the `gen_kwargs`:
```python
gen_kwargs = {
"files": [os.path.join(data_dir, filename) for filename in all_files],
"me... | {
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} | Hi!
I bumped into this particular `ValueError` during my work (because an instance of `np.int64` was passed instead of regular Python `int`), and so I had to `print(type(values))` myself. Apparently, it's just the missing `f` to make message an f-string.
It ain't much for a contribution, but it's honest work. Hop... | {
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} | Checklist
- [x] Update circle ci yaml
- [x] Delete sphinx static & python files in docs dir
- [x] Update readme in docs dir
- [ ] Update docs config in setup.py | {
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https://api.github.com/repos/huggingface/datasets/issues/3740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3740/comments | https://api.github.com/repos/huggingface/datasets/issues/3740/events | https://github.com/huggingface/datasets/pull/3740 | 1,140,720,739 | PR_kwDODunzps4y9XAP | 3,740 | Support streaming for pubmed | {
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"@albertvillanova just FYI, since you were so helpful with the previous pubmed issue :) ",
"IIRC streaming from FTP is not fully tested yet, so I'm fine with switching to HTTPS for now, as long as the download speed/availability is great",
"@albertvillanova Thanks for pointing me to the `ET` module replacement.... | 1,645,057,102,000 | 1,645,195,333,000 | 1,645,195,333,000 | CONTRIBUTOR | null | false | {
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} | This PR makes some minor changes to the `pubmed` dataset to allow for `streaming=True`. Fixes #3739.
Basically, I followed the C4 dataset which works in streaming mode as an example, and made the following changes:
* Change URL prefix from `ftp://` to `https://`
* Explicilty `open` the filename and pass the XML ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3739/comments | https://api.github.com/repos/huggingface/datasets/issues/3739/events | https://github.com/huggingface/datasets/issues/3739 | 1,140,329,189 | I_kwDODunzps5D-Arl | 3,739 | Pubmed dataset does not work in streaming mode | {
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"Thanks for reporting, @abhi-mosaic (related to #3655).\r\n\r\nPlease note that `xml.etree.ElementTree.parse` already supports streaming:\r\n- #3476\r\n\r\nNo need to refactor to use `open`/`xopen`. Is is enough with importing the package `as ET` (instead of `as etree`)."
] | 1,645,031,617,000 | 1,645,195,333,000 | 1,645,195,333,000 | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
Trying to use the `pubmed` dataset with `streaming=True` fails.
## Steps to reproduce the bug
```python
import datasets
pubmed_train = datasets.load_dataset('pubmed', split='train', streaming=True)
print (next(iter(pubmed_train)))
```
## Expected results
I would expect to see the first ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3738/comments | https://api.github.com/repos/huggingface/datasets/issues/3738/events | https://github.com/huggingface/datasets/issues/3738 | 1,140,164,253 | I_kwDODunzps5D9Yad | 3,738 | For data-only datasets, streaming and non-streaming don't behave the same | {
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"Note that we might change the heuristic and create a different config per file, at least in that case.",
"Hi @severo, thanks for reporting.\r\n\r\nYes, this happens because when non-streaming, a cast of all data is done in order to \"concatenate\" it all into a single dataset (thus the error), while this casting... | 1,645,024,857,000 | 1,645,453,495,000 | null | CONTRIBUTOR | null | null | {
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} | See https://huggingface.co/datasets/huggingface/transformers-metadata: it only contains two JSON files.
In streaming mode, the files are concatenated, and thus the rows might be dictionaries with different keys:
```python
import datasets as ds
iterable_dataset = ds.load_dataset("huggingface/transformers-metadat... | {
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@lhoestq Using `data/redcaps_v1.0_annotations.zip` as a download URL gives an error locally when running `datasets-cli test` (will investigate this another time) | {
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"I just changed to `dl_manager.is_streaming` rather than an additional parameter `streaming` that has to be handled by the DatasetBuilder class - this way the streaming logic doesn't interfere with the base builder's code.\r\n\r\nI think it's better this way, but let me know if you preferred the previous way and I ... | 1,645,023,689,000 | 1,645,460,782,000 | null | MEMBER | null | false | {
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} | Continuation of https://github.com/huggingface/datasets/pull/3664:
- pass the `streaming` parameter to _split_generator
- update @anton-l's code to use this parameter for `common_voice`
- add a comment to explain why we use `download_and_extract` in non-streaming and `iter_archive` in streaming
Now the `common_... | {
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https://api.github.com/repos/huggingface/datasets/issues/3735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3735/comments | https://api.github.com/repos/huggingface/datasets/issues/3735/events | https://github.com/huggingface/datasets/issues/3735 | 1,140,087,891 | I_kwDODunzps5D9FxT | 3,735 | Performance of `datasets` at scale | {
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"> using command line git-lfs - [...] 300MB/s!\r\n\r\nwhich server location did you upload from?",
"From GCP region `us-central1-a`.",
"The most surprising part to me is the saving time. Wondering if it could be due to compression (`ParquetWriter` uses SNAPPY compression by default; it can be turned off with `... | 1,645,021,412,000 | 1,645,024,465,000 | null | MEMBER | null | null | {
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} | # Performance of `datasets` at 1TB scale
## What is this?
During the processing of a large dataset I monitored the performance of the `datasets` library to see if there are any bottlenecks. The insights of this analysis could guide the decision making to improve the performance of the library.
## Dataset
The da... | {
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} | ## Describe the bug
NewsQA dataset has the following bugs:
- the field `validated_answers` is an exact copy of the field `answers` but with the addition of `'count': [0]` to each dict
- the field `badQuestion` does not appear in `answers` nor `validated_answers`
## Steps to reproduce the bug
By inspecting the da... | {
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"would this allow to include the size in the dataset info without downloading the files? related to https://github.com/huggingface/datasets/pull/3670",
"@severo I don't think so. We could use this to get `info.download_checksums[\"num_bytes\"]`, but we must process the files to get the rest of the size info. "
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} | This PR adds the streamable version of `os.path.getsize` (`fsspec` can return `None`, so we fall back to `fs.open` to make it more robust) to account for possible streamable paths in the nested `extra_nbytes_visitor` function inside `push_to_hub`. | {
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"Thanks for reporting @byw2.\r\nWe are fixing it.\r\nIn the meantime, you can load the dataset by passing `ignore_verifications=True`:\r\n ```python\r\ndataset = load_dataset(\"multi_news\", ignore_verifications=True)"
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} | ## Describe the bug
When using the load_dataset function from datasets module to load the Multi-News dataset, does not load the dataset but throws Checksum Error instead.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("multi_news")
```
## Expected results
... | {
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} | ## Describe the bug
when I use load_dataset to read a txt file I find that the number of the samples is incorrect
## Steps to reproduce the bug
```
fr = open('train.txt','r',encoding='utf-8').readlines()
print(len(fr)) # 1199637
datasets = load_dataset('text', data_files={'train': ['train.txt']}, streaming... | {
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https://api.github.com/repos/huggingface/datasets/issues/3728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3728/comments | https://api.github.com/repos/huggingface/datasets/issues/3728/events | https://github.com/huggingface/datasets/issues/3728 | 1,139,303,614 | I_kwDODunzps5D6GS- | 3,728 | VoxPopuli | {
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"duplicate of https://github.com/huggingface/datasets/issues/2300"
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} | ## Adding a Dataset
- **Name:** VoxPopuli
- **Description:** A Large-Scale Multilingual Speech Corpus
- **Paper:** https://arxiv.org/pdf/2101.00390.pdf
- **Data:** https://github.com/facebookresearch/voxpopuli
- **Motivation:** one of the largest (if not the largest) multilingual speech corpus: 400K hours of multi... | {
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https://api.github.com/repos/huggingface/datasets/issues/3727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3727/comments | https://api.github.com/repos/huggingface/datasets/issues/3727/events | https://github.com/huggingface/datasets/pull/3727 | 1,138,979,732 | PR_kwDODunzps4y34JN | 3,727 | Patch all module attributes in its namespace | {
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} | When patching module attributes, only those defined in its `__all__` variable were considered by default (only falling back to `__dict__` if `__all__` was None).
However those are only a subset of all the module attributes in its namespace (`__dict__` variable).
This PR fixes the problem of modules that have non-... | {
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Related to #3724. | {
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https://api.github.com/repos/huggingface/datasets/issues/3724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3724/comments | https://api.github.com/repos/huggingface/datasets/issues/3724/events | https://github.com/huggingface/datasets/issues/3724 | 1,138,827,681 | I_kwDODunzps5D4SGh | 3,724 | Bug while streaming CSV dataset with pandas 1.4 | {
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} | ## Describe the bug
If we upgrade to pandas `1.4`, the patching of the pandas module is no longer working
```
AttributeError: '_PatchedModuleObj' object has no attribute '__version__'
```
## Steps to reproduce the bug
```
pip install pandas==1.4
```
```python
from datasets import load_dataset
ds = load_dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/3723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3723/comments | https://api.github.com/repos/huggingface/datasets/issues/3723/events | https://github.com/huggingface/datasets/pull/3723 | 1,138,789,493 | PR_kwDODunzps4y3RuI | 3,723 | Fix flatten of complex feature types | {
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} | Fix `flatten` for the following feature types: Image/Audio, Translation, and TranslationVariableLanguages.
Inspired by `cast`/`table_cast`, I've introduced a `table_flatten` function to handle the Image/Audio types.
CC: @SBrandeis
Fix #3686.
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"Any love?",
"Hi, any update?"
] | 1,644,859,611,000 | 1,645,213,432,000 | null | NONE | null | false | {
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} | Per #3716 , current implementation does not take into consideration that `faiss` can run on multiple GPUs.
In this commit, I provided multi-GPU support for `FaissIndex` by modifying the device management in `IndexableMixin.add_faiss_index` and `FaissIndex.load`.
Now users are able to pass in
1. a positive intege... | {
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https://api.github.com/repos/huggingface/datasets/issues/3720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3720/comments | https://api.github.com/repos/huggingface/datasets/issues/3720/events | https://github.com/huggingface/datasets/issues/3720 | 1,137,537,080 | I_kwDODunzps5DzXA4 | 3,720 | Builder Configuration Update Required on Common Voice Dataset | {
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"Hi @aasem, thanks for reporting.\r\n\r\nPlease note that currently Commom Voice is hosted on our Hub as a community dataset by the Mozilla Foundation. See all Common Voice versions here: https://huggingface.co/mozilla-foundation\r\n\r\nMaybe we should add an explaining note in our \"legacy\" Common Voice canonical... | 1,644,855,701,000 | 1,644,935,487,000 | null | NONE | null | null | {
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} | Missing language in Common Voice dataset
**Link:** https://huggingface.co/datasets/common_voice
I tried to call the Urdu dataset using `load_dataset("common_voice", "ur", split="train+validation")` but couldn't due to builder configuration not found. I checked the source file here for the languages support:
ht... | {
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} | Fix #3707
Instead of reusing `_check_valid_index_key` from `datasets.formatting`, I defined a new function to provide a more meaningful error message.
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} | This PR:
- fixes a bug in the script, by removing an unnamed column with the row index: fix KeyError
- fix the metadata JSON, by adding both configurations (1.1 and 2.0): fix ExpectedMoreDownloadedFiles
- updates the dataset card
Fix #3515. | {
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https://api.github.com/repos/huggingface/datasets/issues/3717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3717/comments | https://api.github.com/repos/huggingface/datasets/issues/3717/events | https://github.com/huggingface/datasets/issues/3717 | 1,137,183,015 | I_kwDODunzps5DyAkn | 3,717 | wrong condition in `Features ClassLabel encode_example` | {
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"Hi @Tudyx, \r\n\r\nPlease note that in Python, the boolean NOT operator (`not`) has lower precedence than comparison operators (`<=`, `<`), thus the expression you mention is equivalent to:\r\n```python\r\n not (-1 <= example_data < self.num_classes)\r\n```\r\n\r\nAlso note that as expected, the exception is raise... | 1,644,839,075,000 | 1,644,851,376,000 | 1,644,851,263,000 | NONE | null | null | {
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} | ## Describe the bug
The `encode_example` function in *features.py* seems to have a wrong condition.
```python
if not -1 <= example_data < self.num_classes:
raise ValueError(f"Class label {example_data:d} greater than configured num_classes {self.num_classes}")
```
## Expected results
The `not - 1` co... | {
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https://api.github.com/repos/huggingface/datasets/issues/3716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3716/comments | https://api.github.com/repos/huggingface/datasets/issues/3716/events | https://github.com/huggingface/datasets/issues/3716 | 1,136,831,092 | I_kwDODunzps5Dwqp0 | 3,716 | `FaissIndex` to support multiple GPU and `custom_index` | {
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"Hi @rentruewang, thansk for reporting and for your PR!!! We should definitely support this. ",
"@albertvillanova Great! :)"
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} | **Is your feature request related to a problem? Please describe.**
Currently, because `device` is of the type `int | None`, to leverage `faiss-gpu`'s multi-gpu support, you need to create a `custom_index`. However, if using a `custom_index` created by e.g. `faiss.index_cpu_to_all_gpus`, then `FaissIndex.save` does not ... | {
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"It shows below when I run test:\r\n\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_msr_sqa - ValueError: Unknown split \"validation\". Should be one of ['train', 'test'].\r\n\r\nIt make no sense for me😂. \r\n"
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} | The last version has many problems,
1) Errors in table load-in. Split by a single comma instead of using pandas is wrong.
2) id reduplicated in _generate_examples function.
3) Missing information of history questions which make it hard to use.
I fix it refer to https://github.com/HKUNLP/UnifiedSKG. And we test ... | {
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"Looks like I solved my problems ..."
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} | ## Dataset viewer issue for 'tatoeba_mt'
**Link:** https://huggingface.co/datasets/Helsinki-NLP/tatoeba_mt
My data loader script does not seem to work.
The files are part of the local repository but cannot be found. An example where it should work is the subset for "afr-eng".
Another problem is that I do not ... | {
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"Thanks for pushing this :)\r\nOne minor comment regarding the PR itself - I noticed that some changes are coming from the upstream master, this might be due to a rebase. Would be nice if this PR doesn't include them for readabily, feel free to open a new one if necessary",
"Closing in favour https://github.com/h... | 1,644,751,591,000 | 1,645,093,126,000 | 1,645,092,729,000 | NONE | null | false | {
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} | Checklist
- [x] Update circle ci yaml
- [x] Delete sphinx static & python files in docs dir
- [x] Update readme in docs dir
- [ ] Update docs config in setup.py | {
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"If we agree to have data files in a dedicated directory \"data/\" then we should be fine. You're right we should not try to edit a dataset script from the repository directly, but from github, in order to avoid conflicts"
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cc @polinaeterna this will be useful if we have audio datasets that are canonical and for which you'd like to host data files | {
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https://api.github.com/repos/huggingface/datasets/issues/3708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3708/comments | https://api.github.com/repos/huggingface/datasets/issues/3708/events | https://github.com/huggingface/datasets/issues/3708 | 1,132,968,402 | I_kwDODunzps5Dh7nS | 3,708 | Loading JSON gets stuck with many workers/threads | {
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"Hi ! Note that it does `block_size *= 2` until `block_size > len(batch)`, so it doesn't loop indefinitely. What do you mean by \"get stuck indefinitely\" then ? Is this the actual call to `paj.read_json` that hangs ?\r\n\r\n> increasing the `chunksize` argument decreases the chance of getting stuck\r\n\r\nCould yo... | 1,644,605,448,000 | 1,644,613,073,000 | null | MEMBER | null | null | {
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} | ## Describe the bug
Loading a JSON dataset with `load_dataset` can get stuck when running on a machine with many CPUs. This is especially an issue when loading a large dataset on a large machine.
## Steps to reproduce the bug
I originally created the following script to reproduce the issue:
```python
from dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/3707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3707/comments | https://api.github.com/repos/huggingface/datasets/issues/3707/events | https://github.com/huggingface/datasets/issues/3707 | 1,132,741,903 | I_kwDODunzps5DhEUP | 3,707 | `.select`: unexpected behavior with `indices` | {
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"Hi! Currently, we compute the final index as `index % len(dset)`. I agree this behavior is somewhat unexpected and that it would be more appropriate to raise an error instead (this is what `df.iloc` in Pandas does, for instance).\r\n\r\n@albertvillanova @lhoestq wdyt?",
"I agree. I think `index % len(dset)` was ... | 1,644,592,801,000 | 1,644,866,361,000 | 1,644,866,361,000 | NONE | null | null | {
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} | ## Describe the bug
The `.select` method will not throw when sending `indices` bigger than the dataset length; `indices` will be wrapped instead. This behavior is not documented anywhere, and is not intuitive.
## Steps to reproduce the bug
```python
from datasets import Dataset
ds = Dataset.from_dict({"text": [... | {
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https://api.github.com/repos/huggingface/datasets/issues/3706 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3706/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3706/comments | https://api.github.com/repos/huggingface/datasets/issues/3706/events | https://github.com/huggingface/datasets/issues/3706 | 1,132,218,874 | I_kwDODunzps5DfEn6 | 3,706 | Unable to load dataset 'big_patent' | {
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"Hi @ankitk2109,\r\n\r\nHave you tried passing the split name with the keyword `split=`? See e.g. an example in our Quick Start docs: https://huggingface.co/docs/datasets/quickstart.html#load-the-dataset-and-model\r\n```python\r\n ds = load_dataset(\"big_patent\", \"d\", split=\"validation\")",
"Hi @albertvillano... | 1,644,572,914,000 | 1,644,852,363,000 | 1,644,852,363,000 | NONE | null | null | {
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} | ## Describe the bug
Unable to load the "big_patent" dataset
## Steps to reproduce the bug
```python
load_dataset('big_patent', 'd', 'validation')
```
## Expected results
Download big_patents' validation split from the 'd' subset
## Getting an error saying:
{FileNotFoundError}Local file ..\huggingface\dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/3705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3705/comments | https://api.github.com/repos/huggingface/datasets/issues/3705/events | https://github.com/huggingface/datasets/pull/3705 | 1,132,053,226 | PR_kwDODunzps4yfhyj | 3,705 | Raise informative error when loading a save_to_disk dataset | {
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} | People recurrently report error when trying to load a dataset (using `load_dataset`) that was previously saved using `save_to_disk`.
This PR raises an informative error message telling them they should use `load_from_disk` instead.
Close #3700. | {
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https://api.github.com/repos/huggingface/datasets/issues/3704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3704/comments | https://api.github.com/repos/huggingface/datasets/issues/3704/events | https://github.com/huggingface/datasets/issues/3704 | 1,132,042,631 | I_kwDODunzps5DeZmH | 3,704 | OSCAR-2109 datasets are misaligned and truncated | {
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"Hi @adrianeboyd, thanks for reporting.\r\n\r\nThere is indeed a bug in that community dataset:\r\nLine:\r\n```python\r\nmetadata_and_text_files = list(zip(metadata_files, text_files))\r\n``` \r\nshould be replaced with\r\n```python\r\nmetadata_and_text_files = list(zip(sorted(metadata_files), sorted(text_files)))\... | 1,644,567,299,000 | 1,644,850,290,000 | 1,644,850,210,000 | NONE | null | null | {
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} | ## Describe the bug
The `oscar-corpus/OSCAR-2109` data appears to be misaligned and truncated by the dataset builder for subsets that contain more than one part and for cases where the texts contain non-unix newlines.
## Steps to reproduce the bug
A few examples, although I'm not sure how deterministic the par... | {
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https://api.github.com/repos/huggingface/datasets/issues/3703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3703/comments | https://api.github.com/repos/huggingface/datasets/issues/3703/events | https://github.com/huggingface/datasets/issues/3703 | 1,131,882,772 | I_kwDODunzps5DdykU | 3,703 | ImportError: To be able to use this metric, you need to install the following dependencies['seqeval'] using 'pip install seqeval' for instance' | {
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"\r\nMy datasets version",
"\r\n",
"Hi! Some of our metrics require additional dependencies to w... | 1,644,561,522,000 | 1,644,768,443,000 | null | NONE | null | null | {
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} | hi :
I want to use the seqeval indicator because of direct load_ When metric ('seqeval '), it will prompt that the network connection fails. So I downloaded the seqeval Py to load locally. Loading code: metric = load_ metric(path='mymetric/seqeval/seqeval.py')
But tips:
Traceback (most recent call last):
File... | {
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https://api.github.com/repos/huggingface/datasets/issues/3702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3702/comments | https://api.github.com/repos/huggingface/datasets/issues/3702/events | https://github.com/huggingface/datasets/pull/3702 | 1,130,666,707 | PR_kwDODunzps4yahKc | 3,702 | Update the address to use https | {
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https://api.github.com/repos/huggingface/datasets/issues/3701 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3701/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3701/comments | https://api.github.com/repos/huggingface/datasets/issues/3701/events | https://github.com/huggingface/datasets/pull/3701 | 1,130,498,738 | PR_kwDODunzps4yZ8Dw | 3,701 | Pin ElasticSearch | {
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} | Until we manage to support ES 8.0, I'm setting the version to `<8.0.0`
Currently we're getting this error on 8.0:
```python
ValueError: Either 'hosts' or 'cloud_id' must be specified
```
When instantiating a `Elasticsearch()` object | {
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https://api.github.com/repos/huggingface/datasets/issues/3700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3700/comments | https://api.github.com/repos/huggingface/datasets/issues/3700/events | https://github.com/huggingface/datasets/issues/3700 | 1,130,252,496 | I_kwDODunzps5DXkjQ | 3,700 | Unable to load a dataset | {
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"Hi! `load_dataset` is intended to be used to load a canonical dataset (`wikipedia`), a packaged dataset (`csv`, `json`, ...) or a dataset hosted on the Hub. For local datasets saved with `save_to_disk(\"path/to/dataset\")`, use `load_from_disk(\"path/to/dataset\")`.",
"Maybe we should raise an informative error ... | 1,644,505,553,000 | 1,644,620,199,000 | 1,644,620,199,000 | NONE | null | null | {
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} | ## Describe the bug
Unable to load a dataset from Huggingface that I have just saved.
## Steps to reproduce the bug
On Google colab
`! pip install datasets `
`from datasets import load_dataset`
`my_path = "wiki_dataset"`
`dataset = load_dataset('wikipedia', "20200501.fr")`
`dataset.save_to_disk(my_path)`
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/3699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3699/comments | https://api.github.com/repos/huggingface/datasets/issues/3699/events | https://github.com/huggingface/datasets/pull/3699 | 1,130,200,593 | PR_kwDODunzps4yY49I | 3,699 | Add dev-only config to Natural Questions dataset | {
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"Great thanks ! I think we can fix the CI by copying the NQ folder on gcs to 0.0.3. Does that sound good ?",
"I've copied the 0.0.2 folder content to 0.0.3, as suggested.\r\n\r\nI'm updating the dataset card..."
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} | As suggested by @lhoestq and @thomwolf, a new config has been added to Natural Questions dataset, so that only dev split can be downloaded.
Fix #413. | {
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https://api.github.com/repos/huggingface/datasets/issues/3698 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3698/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3698/comments | https://api.github.com/repos/huggingface/datasets/issues/3698/events | https://github.com/huggingface/datasets/pull/3698 | 1,129,864,282 | PR_kwDODunzps4yXtyQ | 3,698 | Add finetune-data CodeFill | {
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Fix #3630. | {
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This PR, removes `names_file` as a field of the data class `ClassLabel`.
- it is only used at ... | {
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"Closing because https://github.com/huggingface/datasets/pull/3690/commits/ee0e0935d6105c1390b0e14a7622fbaad3044dbb"
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"- I updated the previous dummy data: I just had to rename the file and its directory\r\n - the dummy data zip contains only a single file: `pubmed22n0001.xml.gz`\r\n\r\nThen I discover it fails: https://app.circleci.com/pipelines/github/huggingface/datasets/9800/workflows/173a4433-8feb-4fc6-ab9e-59762084e3e1/jobs... | 1,644,401,181,000 | 1,644,848,142,000 | 1,644,848,141,000 | MEMBER | null | false | {
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"We can have the docstrings of the properties that are missing docstrings (from discussion [here](https://github.com/huggingface/doc-builder/pull/96)) here by using your new `inject_arrow_table_documentation` onthem as well ?",
"@sgugger & @lhoestq could you help me with what should the `docs` section in setup.py... | 1,644,338,289,000 | 1,645,452,303,000 | null | NONE | null | false | {
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} | ### TLDR: Update `datasets` `docs` to the new syntax (markdown and mdx files) & frontend (as how it looks on [hf.co/transformers](https://huggingface.co/docs/transformers/index))
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"Does it mean that huge files might end up being downloaded? It would go against the purpose of streaming, I think. At least, this fallback should be an option that could be disabled",
"Yes, it is against the purpose of streaming, but streaming is not possible if the server does not allow HTTP range requests.\n\n... | 1,644,334,865,000 | 1,644,511,885,000 | 1,644,511,885,000 | MEMBER | null | false | {
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~~This PR implements a workaround for those cases, by download the files locally in a temporary directory (cleaned up by the OS once the process is finished).~~
This PR raises custom error explaining ... | {
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"Hi @Zaker237, thanks for reporting.\r\n\r\nThis is weird: the error you get is only thrown if the installed pyarrow version is less than 3.0.0.\r\n\r\nCould you please check that you install pyarrow in the same Python virtual environment where you installed datasets?\r\n\r\nFrom the Python command line (or termina... | 1,644,324,839,000 | 1,644,388,533,000 | 1,644,388,532,000 | NONE | null | null | {
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} | ## Describe the bug
I installed datasets(version 1.17.0, 1.18.0, 1.18.3) but i'm right now nor able to import it because of pyarrow. when i try to import it, i get the following error:
`To use datasets, the module pyarrow>=3.0.0 is required, and the current version of pyarrow doesn't match this condition`.
i tryed w... | {
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https://api.github.com/repos/huggingface/datasets/issues/3687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3687/comments | https://api.github.com/repos/huggingface/datasets/issues/3687/events | https://github.com/huggingface/datasets/issues/3687 | 1,127,154,766 | I_kwDODunzps5DLwRO | 3,687 | Can't get the text data when calling to_tf_dataset | {
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"cc @Rocketknight1 ",
"You are correct that `to_tf_dataset` only handles numerical columns right now, yes, though this is a limitation we might remove in future! The main reason we do this is that our models mostly do not include the tokenizer as a model layer, because it's very difficult to compile some of them ... | 1,644,321,130,000 | 1,644,764,875,000 | null | NONE | null | null | {
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} | I am working with the SST2 dataset, and am using TensorFlow 2.5
I'd like to convert it to a `tf.data.Dataset` by calling the `to_tf_dataset` method.
The following snippet is what I am using to achieve this:
```
from datasets import load_dataset
from transformers import DefaultDataCollator
data_collator = Defa... | {
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https://api.github.com/repos/huggingface/datasets/issues/3686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3686/comments | https://api.github.com/repos/huggingface/datasets/issues/3686/events | https://github.com/huggingface/datasets/issues/3686 | 1,127,137,290 | I_kwDODunzps5DLsAK | 3,686 | `Translation` features cannot be `flatten`ed | {
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"Thanks for reporting, @SBrandeis! Some additional feature types that don't behave as expected when flattened: `Audio`, `Image` and `TranslationVariableLanguages`"
] | 1,644,320,028,000 | 1,644,844,038,000 | null | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
(`Dataset.flatten`)[https://github.com/huggingface/datasets/blob/master/src/datasets/arrow_dataset.py#L1265] fails for columns with feature (`Translation`)[https://github.com/huggingface/datasets/blob/3edbeb0ec6519b79f1119adc251a1a6b379a2c12/src/datasets/features/translation.py#L8]
## Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/3685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3685/comments | https://api.github.com/repos/huggingface/datasets/issues/3685/events | https://github.com/huggingface/datasets/pull/3685 | 1,126,240,444 | PR_kwDODunzps4yLw3m | 3,685 | Add support for `Audio` and `Image` feature in `push_to_hub` | {
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"> Cool thanks !\r\n> \r\n> Also cc @patrickvonplaten @anton-l it means that when calling push_to_hub, the audio bytes are embedded in the parquet files (we don't upload the audio files themselves)\r\n\r\nJust to verify quickly the size of the dataset doesn't change in this case no? E.g. if a dataset has say 20GB i... | 1,644,252,436,000 | 1,644,862,497,000 | 1,644,861,898,000 | CONTRIBUTOR | null | false | {
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} | Add support for the `Audio` and the `Image` feature in `push_to_hub`.
The idea is to remove local path information and store file content under "bytes" in the Arrow table before the push.
My initial approach (https://github.com/huggingface/datasets/commit/34c652afeff9686b6b8bf4e703c84d2205d670aa) was to use a ma... | {
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"Hi ! Thanks for the fix ! Do you know where this new URL comes from ?\r\n\r\nAlso we try to not use Google Drive if possible, since it has download quota limitations. Do you know if the data is available from another host than Google Drive ?",
"Oh, I found it just by following the link from the [IWSLT2017 homepa... | 1,644,134,215,000 | 1,645,069,003,000 | null | NONE | null | false | {
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"Amazing thank you ! Feel free to regenerate the `dataset_infos.json` to account for the feature type change, and then I think we'll be good to merge :)",
"Great thank you ! merging :)"
] | 1,643,996,672,000 | 1,644,268,492,000 | 1,644,268,492,000 | CONTRIBUTOR | null | false | {
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Adding ToLD-Br. Feel free to ask for modifications.
Thanks!! | {
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"Sorry for using multiple github accounts, I didn't notice I was using my professional account to commit/push. Please consider this @JAugusto97 account as the correct one.",
"Will remake the PR with the correct github account."
] | 1,643,995,109,000 | 1,644,204,204,000 | 1,643,996,200,000 | CONTRIBUTOR | null | false | {
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I'm adding our dataset from our paper published at AACL 2020. Feel free to ask for modifications.
Thanks! | {
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"All the datasets that are loaded normally with `load_dataset`, if `dataset_infos.json` exists, have this file in the importable directory. So it's fine if we copy the file instead of moving it but it's not a big deal.\r\n\r\nAny reason to prefer moving it rather than copying it ?",
"@lvwerra reported than when g... | 1,643,983,312,000 | 1,645,440,189,000 | null | MEMBER | null | false | {
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CC: @lhoestq @lvwerra | {
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CC: @lvwerra | {
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"For reference:\r\nhttps://github.com/huggingface/transformers/issues/15514\r\nhttps://github.com/huggingface/huggingface_hub/issues/650",
"Hi ! For information one can set the environment variable `HF_ENDPOINT` (default is `https://huggingface.co`) if they want to use a private hub.\r\n\r\nWe may need to coordin... | 1,643,971,746,000 | 1,644,419,065,000 | null | NONE | null | null | {
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} | In the context of a private hub deployment, customers would like to use load_dataset() to load datasets from their hub, not from the public hub. This doesn't seem to be configurable at the moment and it would be nice to add this feature.
The obvious workaround is to clone the repo first and then load it from local s... | {
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"Seems like a regression from https://github.com/huggingface/datasets/pull/2843\r\n\r\nOr maybe it's an issue with the hosting. I don't think so, though, because https://www.dropbox.com/s/aox84z90nyyuikz/discovery.zip seems to work as expected\r\n\r\n",
"Hi @severo, thanks for reporting.\r\n\r\nSome servers do no... | 1,643,900,523,000 | 1,644,511,884,000 | 1,644,511,884,000 | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
from datasets import load_dataset
iterable_dataset = load_dataset("discovery", name="discovery", split="train", streaming=True)
list(iterable_dataset.take(1))
```
## Expected results
The first ... | {
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"It looks like this is because of this behavior in pyarrow:\r\n```python\r\nimport pyarrow as pa\r\n\r\narr = pa.array([None, [0]])\r\nreconstructed_arr = pa.ListArray.from_arrays(arr.offsets, arr.values)\r\nprint(reconstructed_arr.to_pylist())\r\n# [[], [0]]\r\n```\r\n\r\nIt seems that `arr.offsets` is wrong:\r\n`... | 1,643,895,408,000 | 1,643,905,852,000 | null | MEMBER | null | null | {
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} | Sometimes `None` can be replaced by `[]` when running map:
```python
from datasets import Dataset
ds = Dataset.from_dict({"a": range(4)})
ds = ds.map(lambda x: {"b": [[None, [0]]]}, batched=True, batch_size=1, remove_columns=["a"])
print(ds.to_pandas())
# b
# 0 [None, [0]]
# 1 [[], [0]]
# ... | {
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"@mariosasko Can I take this up?"
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} | ## Adding a Dataset
- **Name:** CodeContests
- **Description:** CodeContests is a competitive programming dataset for machine-learning.
- **Paper:**
- **Data:** https://github.com/deepmind/code_contests
- **Motivation:** This dataset was used when training [AlphaCode](https://deepmind.com/blog/article/Competitive-... | {
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"@lhoestq \r\n\r\nThe model used by default (`moussaKam/frugalscore_tiny_bert-base_bert-score`) is a tiny model.\r\n\r\nI still want to make one modification before merging.\r\nI would like to load the model checkpoint once. Do you think it's a good idea if I load it in `_download_and_prepare`? In this case should ... | 1,643,891,332,000 | 1,645,459,124,000 | 1,645,459,124,000 | CONTRIBUTOR | null | false | {
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} | This pull request add FrugalScore metric for NLG systems evaluation.
FrugalScore is a reference-based metric for NLG models evaluation. It is based on a distillation approach that allows to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance.
Paper: https:... | {
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https://api.github.com/repos/huggingface/datasets/issues/3673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3673/comments | https://api.github.com/repos/huggingface/datasets/issues/3673/events | https://github.com/huggingface/datasets/issues/3673 | 1,123,010,520 | I_kwDODunzps5C78fY | 3,673 | `load_dataset("snli")` is different from dataset viewer | {
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"Yes, we decided to replace the encoded label with the corresponding label when possible in the dataset viewer. But\r\n1. maybe it's the wrong default\r\n2. we could find a way to show both (with a switch, or showing both ie. `0 (neutral)`).\r\n",
"Hi @severo,\r\n\r\nThanks for clarifying. \r\n\r\nI think this de... | 1,643,890,243,000 | 1,645,010,551,000 | 1,644,598,881,000 | NONE | null | null | {
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} | ## Describe the bug
The dataset that is downloaded from the Hub via `load_dataset("snli")` is different from what is available in the dataset viewer. In the viewer the labels are not encoded (i.e., "neutral", "entailment", "contradiction"), while the downloaded dataset shows the encoded labels (i.e., 0, 1, 2).
Is t... | {
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https://api.github.com/repos/huggingface/datasets/issues/3672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3672/comments | https://api.github.com/repos/huggingface/datasets/issues/3672/events | https://github.com/huggingface/datasets/pull/3672 | 1,122,980,556 | PR_kwDODunzps4yBUrZ | 3,672 | Prioritize `module.builder_kwargs` over defaults in `TestCommand` | {
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} | This fixes a bug in the `TestCommand` where multiple kwargs for `name` were passed if it was set in both default and `module.builder_kwargs`. Example error:
```Python
Traceback (most recent call last):
File "create_metadata.py", line 96, in <module>
main(**vars(args))
File "create_metadata.py", line 86, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3671/comments | https://api.github.com/repos/huggingface/datasets/issues/3671/events | https://github.com/huggingface/datasets/issues/3671 | 1,122,864,253 | I_kwDODunzps5C7Yx9 | 3,671 | Give an estimate of the dataset size in DatasetInfo | {
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} | **Is your feature request related to a problem? Please describe.**
Currently, only part of the datasets provide `dataset_size`, `download_size`, `size_in_bytes` (and `num_bytes` and `num_examples` inside `splits`). I would want to get this information, or an estimation, for all the datasets.
**Describe the soluti... | {
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https://api.github.com/repos/huggingface/datasets/issues/3670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3670/comments | https://api.github.com/repos/huggingface/datasets/issues/3670/events | https://github.com/huggingface/datasets/pull/3670 | 1,122,439,827 | PR_kwDODunzps4x_kBx | 3,670 | feat: 🎸 generate info if dataset_infos.json does not exist | {
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"It's a first attempt at solving https://github.com/huggingface/datasets/issues/3013.",
"I only kept these ones:\r\n```\r\n path: str,\r\n data_files: Optional[Union[Dict, List, str]] = None,\r\n download_config: Optional[DownloadConfig] = None,\r\n download_mode: Optional[GenerateMode] = None,\r\n ... | 1,643,839,916,000 | 1,645,459,031,000 | 1,645,459,030,000 | CONTRIBUTOR | null | false | {
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} | in get_dataset_infos(). Also: add the `use_auth_token` parameter, and create get_dataset_config_info()
✅ Closes: #3013 | {
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https://api.github.com/repos/huggingface/datasets/issues/3669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3669/comments | https://api.github.com/repos/huggingface/datasets/issues/3669/events | https://github.com/huggingface/datasets/pull/3669 | 1,122,335,622 | PR_kwDODunzps4x_OTI | 3,669 | Common voice validated partition | {
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"Hi @patrickvonplaten - could you please advise whether this would be a welcomed change, and if so, who I consult regarding the unit-tests?",
"I'd be happy with adding this change. @anton-l @lhoestq - what do you think?",
"Cool ! I just fixed the tests by adding a dummy `validated.tsv` file in the dummy data ar... | 1,643,832,283,000 | 1,644,341,212,000 | 1,644,340,992,000 | CONTRIBUTOR | null | false | {
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} | This patch adds access to the 'validated' partitions of CommonVoice datasets (provided by the dataset creators but not available in the HuggingFace interface yet).
As 'validated' contains significantly more data than 'train' (although it contains both test and validation, so one needs to be careful there), it can be u... | {
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https://api.github.com/repos/huggingface/datasets/issues/3668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3668/comments | https://api.github.com/repos/huggingface/datasets/issues/3668/events | https://github.com/huggingface/datasets/issues/3668 | 1,122,261,736 | I_kwDODunzps5C5Fro | 3,668 | Couldn't cast array of type string error with cast_column | {
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"Hi ! I wasn't able to reproduce the error, are you still experiencing this ? I tried calling `cast_column` on a string column containing paths.\r\n\r\nIf you manage to share a reproducible code example that would be perfect",
"Hi,\r\n\r\nI think my team mate got this solved. Clolsing it for now and will reopen i... | 1,643,826,809,000 | 1,645,177,086,000 | 1,644,390,462,000 | NONE | null | null | {
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} | ## Describe the bug
In OVH cloud during Huggingface Robust-speech-recognition event on a AI training notebook instance using jupyter lab and running jupyter notebook When using the dataset.cast_column("audio",Audio(sampling_rate=16_000))
method I get error
![image](https://user-images.githubusercontent.com/25264... | {
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