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https://github.com/huggingface/datasets/issues/2716 | 2,716 | Calling shuffle on IterableDataset will disable batching in case any functions were mapped | {
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"Hi :) Good catch ! Feel free to open a PR if you want to contribute, this would be very welcome ;)",
"Have raised the PR [here](https://github.com/huggingface/datasets/pull/2717)",
"Fixed by #2717."
] | 2021-07-26T13:24:59Z | 2021-07-26T18:04:43Z | 2021-07-26T18:04:43Z | CONTRIBUTOR | null | null | When using dataset in streaming mode, if one applies `shuffle` method on the dataset and `map` method for which `batched=True` than the batching operation will not happen, instead `batched` will be set to `False`
I did RCA on the dataset codebase, the problem is emerging from [this line of code](https://github.com/h... | {
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https://github.com/huggingface/datasets/pull/2715 | 2,715 | Update PAN-X data URL in XTREME dataset | {
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"Merging since the CI is just about missing infos in the dataset card"
] | 2021-07-26T12:21:17Z | 2021-07-26T13:27:59Z | 2021-07-26T13:27:59Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Related to #2710, #2691. | {
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https://github.com/huggingface/datasets/issues/2714 | 2,714 | add more precise information for size | {
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"We already have this information in the dataset_infos.json files of each dataset.\r\nMaybe we can parse these files in the backend to return their content with the endpoint at huggingface.co/api/datasets\r\n\r\nFor now if you want to access this info you have to load the json for each dataset. For example:\r\n- fo... | 2021-07-26T07:11:03Z | 2021-07-26T09:16:25Z | null | NONE | null | null | For the import into ELG, we would like a more precise description of the size of the dataset, instead of the current size categories. The size can be expressed in bytes, or any other preferred size unit. As suggested in the slack channel, perhaps this could be computed with a regex for existing datasets. | null | {
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https://github.com/huggingface/datasets/pull/2713 | 2,713 | Enumerate all ner_tags values in WNUT 17 dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR does:
- Enumerate all ner_tags in dataset card Data Fields section
- Add all metadata tags to dataset card
Close #2709. | {
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https://github.com/huggingface/datasets/pull/2710 | 2,710 | Update WikiANN data URL | {
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"We have to update the URL in the XTREME benchmark as well:\r\n\r\nhttps://github.com/huggingface/datasets/blob/0dfc639cec450ed8762a997789a2ed63e63cdcf2/datasets/xtreme/xtreme.py#L411-L411\r\n\r\n"
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We have decided to host it at Hugging Face. This PR updates the data source URL, the metadata JSON file and the dataset card.
Close #2691. | {
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https://github.com/huggingface/datasets/issues/2709 | 2,709 | Missing documentation for wnut_17 (ner_tags) | {
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"Hi @maxpel, thanks for reporting this issue.\r\n\r\nIndeed, the documentation in the dataset card is not complete. I’m opening a Pull Request to fix it.\r\n\r\nAs the paper explains, there are 6 entity types and we have ordered them alphabetically: `corporation`, `creative-work`, `group`, `location`, `person` and ... | 2021-07-23T12:25:32Z | 2021-07-26T09:30:55Z | 2021-07-26T09:30:55Z | CONTRIBUTOR | null | null | On the info page of the wnut_17 data set (https://huggingface.co/datasets/wnut_17), the model output of ner-tags is only documented for these 5 cases:
`ner_tags: a list of classification labels, with possible values including O (0), B-corporation (1), I-corporation (2), B-creative-work (3), I-creative-work (4).`
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https://github.com/huggingface/datasets/issues/2708 | 2,708 | QASC: incomplete training set | {
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"Hi @danyaljj, thanks for reporting.\r\n\r\nUnfortunately, I have not been able to reproduce your problem. My train split has 8134 examples:\r\n```ipython\r\nIn [10]: ds[\"train\"]\r\nOut[10]:\r\nDataset({\r\n features: ['id', 'question', 'choices', 'answerKey', 'fact1', 'fact2', 'combinedfact', 'formatted_quest... | 2021-07-22T21:59:44Z | 2021-07-23T13:30:07Z | 2021-07-23T13:30:07Z | CONTRIBUTOR | null | null | ## Describe the bug
The training instances are not loaded properly.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("qasc", script_version='1.10.2')
def load_instances(split):
instances = dataset[split]
print(f"split: {split} - size: {len(instanc... | {
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https://github.com/huggingface/datasets/issues/2707 | 2,707 | 404 Not Found Error when loading LAMA dataset | {
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"Hi @dwil2444! I was able to reproduce your error when I downgraded to v1.1.2. Updating to the latest version of Datasets fixed the error for me :)",
"Hi @dwil2444, thanks for reporting.\r\n\r\nCould you please confirm which `datasets` version you were using and if the problem persists after you update it to the ... | 2021-07-22T15:52:33Z | 2021-07-26T14:29:07Z | 2021-07-26T14:29:07Z | NONE | null | null | The [LAMA](https://huggingface.co/datasets/viewer/?dataset=lama) probing dataset is not available for download:
Steps to Reproduce:
1. `from datasets import load_dataset`
2. `dataset = load_dataset('lama', 'trex')`.
Results:
`FileNotFoundError: Couldn't find file locally at lama/lama.py, or remotely ... | {
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https://github.com/huggingface/datasets/pull/2706 | 2,706 | Update BibTeX entry | {
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https://github.com/huggingface/datasets/issues/2705 | 2,705 | 404 not found error on loading WIKIANN dataset | {
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"Hi @ronbutan, thanks for reporting.\r\n\r\nYou are right: we have recently found that the link to the original PAN-X dataset (also called WikiANN), hosted at Dropbox, is no longer working.\r\n\r\nWe have opened an issue in the GitHub repository of the original dataset (afshinrahimi/mmner#4) and we have also contac... | 2021-07-22T09:55:50Z | 2021-07-23T08:07:32Z | 2021-07-23T08:07:32Z | NONE | null | null | ## Describe the bug
Unable to retreive wikiann English dataset
## Steps to reproduce the bug
```python
from datasets import list_datasets, load_dataset, list_metrics, load_metric
WIKIANN = load_dataset("wikiann","en")
```
## Expected results
Colab notebook should display successful download status
## Act... | {
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https://github.com/huggingface/datasets/pull/2704 | 2,704 | Fix pick default config name message | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The error message to tell which config name to load is not displayed.
This is because in the code it was considering the config kwargs to be non-empty, which is a special case for custom configs created on the fly. It appears after this change: https://github.com/huggingface/datasets/pull/2659
I fixed that by ma... | {
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https://github.com/huggingface/datasets/issues/2703 | 2,703 | Bad message when config name is missing | {
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However in `datasets` 1.10.0 and 1.10.1 it doesn't show the right message:
```python
import datasets
datasets.load_dataset("glue")
```
raises
```python
AttributeError: 'Bui... | {
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https://github.com/huggingface/datasets/pull/2702 | 2,702 | Update BibTeX entry | {
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https://github.com/huggingface/datasets/pull/2701 | 2,701 | Fix download_mode docstrings | {
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https://github.com/huggingface/datasets/issues/2700 | 2,700 | from datasets import Dataset is failing | {
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"Hi @kswamy15, thanks for reporting.\r\n\r\nWe are fixing this critical issue and making an urgent patch release of the `datasets` library today.\r\n\r\nIn the meantime, you can circumvent this issue by updating the `tqdm` library: `!pip install -U tqdm`"
] | 2021-07-22T03:51:23Z | 2021-07-22T07:23:45Z | 2021-07-22T07:09:07Z | NONE | null | null | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import Dataset
```
## Expected results
A clear and concise description of the expected results.
## Actual results
Specify the actual results or... | {
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https://github.com/huggingface/datasets/issues/2699 | 2,699 | cannot combine splits merging and streaming? | {
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"Hi ! That's missing indeed. We'll try to implement this for the next version :)\r\n\r\nI guess we just need to implement #2564 first, and then we should be able to add support for splits combinations",
"is there an update on this? ran into the same issue on 2.17.1.\r\n\r\nOn a similar note, the keyword `split=\"... | 2021-07-22T01:13:25Z | 2024-04-08T13:26:46Z | null | NONE | null | null | this does not work:
`dataset = datasets.load_dataset('mc4','iw',split='train+validation',streaming=True)`
with error:
`ValueError: Bad split: train+validation. Available splits: ['train', 'validation']`
these work:
`dataset = datasets.load_dataset('mc4','iw',split='train+validation')`
`dataset = datasets.load_d... | null | {
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https://github.com/huggingface/datasets/pull/2698 | 2,698 | Ignore empty batch when writing | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This prevents an schema update with unknown column types, as reported in #2644.
This is my first attempt at fixing the issue. I tested the following:
- First batch returned by a batched map operation is empty.
- An intermediate batch is empty.
- `python -m unittest tests.test_arrow_writer` passes.
However, `ar... | {
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https://github.com/huggingface/datasets/pull/2697 | 2,697 | Fix import on Colab | {
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"@lhoestq @albertvillanova - It might be a good idea to have a patch release after this gets merged (presumably tomorrow morning when you're around). The Colab issue linked to this PR is a pretty big blocker. "
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix #2695, fix #2700. | {
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https://github.com/huggingface/datasets/pull/2696 | 2,696 | Add support for disable_progress_bar on Windows | {
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"The CI failure seems unrelated to this PR (probably has something to do with Transformers)."
] | 2021-07-21T16:34:53Z | 2021-07-26T13:31:14Z | 2021-07-26T09:38:37Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR is a continuation of #2667 and adds support for `utils.disable_progress_bar()` on Windows when using multiprocessing. This [answer](https://stackoverflow.com/a/6596695/14095927) on SO explains it nicely why the current approach (with calling `utils.is_progress_bar_enabled()` inside `Dataset._map_single`) would ... | {
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https://github.com/huggingface/datasets/issues/2695 | 2,695 | Cannot import load_dataset on Colab | {
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"I'm facing the same issue on Colab today too.\r\n\r\n```\r\nModuleNotFoundError Traceback (most recent call last)\r\n<ipython-input-4-5833ac0f5437> in <module>()\r\n 3 \r\n 4 from ray import tune\r\n----> 5 from datasets import DatasetDict, Dataset\r\n 6 from datasets import lo... | 2021-07-21T15:52:51Z | 2021-07-22T07:26:25Z | 2021-07-22T07:09:07Z | NONE | null | null | ## Describe the bug
Got tqdm concurrent module not found error during importing load_dataset from datasets.
## Steps to reproduce the bug
Here [colab notebook](https://colab.research.google.com/drive/1pErWWnVP4P4mVHjSFUtkePd8Na_Qirg4?usp=sharing) to reproduce the error
On colab:
```python
!pip install dataset... | {
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https://github.com/huggingface/datasets/pull/2694 | 2,694 | fix: 🐛 change string format to allow copy/paste to work in bash | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Before: copy/paste resulted in an error because the square bracket
characters `[]` are special characters in bash | {
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https://github.com/huggingface/datasets/pull/2693 | 2,693 | Fix OSCAR Esperanto | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The Esperanto part (original) of OSCAR has the wrong number of examples:
```python
from datasets import load_dataset
raw_datasets = load_dataset("oscar", "unshuffled_original_eo")
```
raises
```python
NonMatchingSplitsSizesError:
[{'expected': SplitInfo(name='train', num_bytes=314188336, num_examples=121171, da... | {
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https://github.com/huggingface/datasets/pull/2692 | 2,692 | Update BibTeX entry | {
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https://github.com/huggingface/datasets/issues/2691 | 2,691 | xtreme / pan-x cannot be downloaded | {
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"Hi @severo, thanks for reporting.\r\n\r\nHowever I have not been able to reproduce this issue. Could you please confirm if the problem persists for you?\r\n\r\nMaybe Dropbox (where the data source is hosted) was temporarily unavailable when you tried.",
"Hmmm, the file (https://www.dropbox.com/s/dl/12h3qqog6q4bj... | 2021-07-21T14:18:05Z | 2021-07-26T09:34:22Z | 2021-07-26T09:34:22Z | COLLABORATOR | null | null | ## Describe the bug
Dataset xtreme / pan-x cannot be loaded
Seems related to https://github.com/huggingface/datasets/pull/2326
## Steps to reproduce the bug
```python
dataset = load_dataset("xtreme", "PAN-X.fr")
```
## Expected results
Load the dataset
## Actual results
```
FileNotFoundError:... | {
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https://github.com/huggingface/datasets/pull/2690 | 2,690 | Docs details | {
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"Thanks for all the comments and for the corrections in the docs !\r\n\r\nAbout all the points you mentioned:\r\n\r\n> * the code samples assume the expected libraries have already been installed. Maybe add a section at start, or add it to every code sample. Something like `pip install datasets transformers torch ... | 2021-07-21T10:43:14Z | 2021-07-27T18:40:54Z | 2021-07-27T18:40:54Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Some comments here:
- the code samples assume the expected libraries have already been installed. Maybe add a section at start, or add it to every code sample. Something like `pip install datasets transformers torch 'datasets[streaming]'` (maybe just link to https://huggingface.co/docs/datasets/installation.html + ... | {
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https://github.com/huggingface/datasets/issues/2689 | 2,689 | cannot save the dataset to disk after rename_column | {
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"Hi ! That's because you are trying to overwrite a file that is already open and being used.\r\nIndeed `foo/dataset.arrow` is open and used by your `dataset` object.\r\n\r\nWhen you do `rename_column`, the resulting dataset reads the data from the same arrow file.\r\nIn other cases like when using `map` on the othe... | 2021-07-21T08:13:40Z | 2025-02-11T23:23:17Z | 2021-07-21T13:11:04Z | CONTRIBUTOR | null | null | ## Describe the bug
If you use `rename_column` and do no other modification, you will be unable to save the dataset using `save_to_disk`
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
In [1]: from datasets import Dataset, load_from_disk
In [5]: dataset=Dataset.from_dict({'foo': [0]})... | {
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https://github.com/huggingface/datasets/issues/2688 | 2,688 | hebrew language codes he and iw should be treated as aliases | {
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"Hi @eyaler, thanks for reporting.\r\n\r\nWhile you are true with respect the Hebrew language tag (\"iw\" is deprecated and \"he\" is the preferred value), in the \"mc4\" dataset (which is a derived dataset) we have kept the language tags present in the original dataset: [Google C4](https://www.tensorflow.org/datas... | 2021-07-20T23:13:52Z | 2021-07-21T16:34:53Z | 2021-07-21T16:34:53Z | NONE | null | null | https://huggingface.co/datasets/mc4 not listed when searching for hebrew datasets (he) as it uses the older language code iw, preventing discoverability. | {
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https://github.com/huggingface/datasets/pull/2687 | 2,687 | Minor documentation fix | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Currently, [Writing a dataset loading script](https://huggingface.co/docs/datasets/add_dataset.html) page has a small error. A link to `matinf` dataset in [_Dataset scripts of reference_](https://huggingface.co/docs/datasets/add_dataset.html#dataset-scripts-of-reference) section actually leads to `xsquad`, instead. Thi... | {
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https://github.com/huggingface/datasets/pull/2686 | 2,686 | Fix bad config ids that name cache directories | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | `data_dir=None` was considered a dataset config parameter, hence creating a special config_id for all dataset being loaded.
Since the config_id is used to name the cache directories, this leaded to datasets being regenerated for users.
I fixed this by ignoring the value of `data_dir` when it's `None` when computing... | {
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https://github.com/huggingface/datasets/pull/2685 | 2,685 | Fix Blog Authorship Corpus dataset | {
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"Normally, I'm expecting errors from the validation of the README file... 😅 ",
"That is:\r\n```\r\n=========================== short test summary info ============================\r\nFAILED tests/test_dataset_cards.py::test_changed_dataset_card[blog_authorship_corpus]\r\n==== 1 failed, 3182 passed, 2763 skipped,... | 2021-07-20T15:44:50Z | 2021-07-21T13:11:58Z | 2021-07-21T13:11:58Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR:
- Update the JSON metadata file, which previously was raising a `NonMatchingSplitsSizesError`
- Fix the codec of the data files (`latin_1` instead of `utf-8`), which previously was raising ` UnicodeDecodeError` for some files
Close #2679. | {
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https://github.com/huggingface/datasets/pull/2684 | 2,684 | Print absolute local paths in load_dataset error messages | {
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https://github.com/huggingface/datasets/issues/2683 | 2,683 | Cache directories changed due to recent changes in how config kwargs are handled | {
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```python
from datasets import load_dataset_builder
c4_builder = load_dataset_builder("c4", "en")
print(c4_builder.cache_dir)
# /Users/quentinlhoest/.cache/huggingfac... | {
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https://github.com/huggingface/datasets/pull/2682 | 2,682 | Fix c4 expected files | {
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Fix https://github.com/huggingface/datasets/issues/2677 | {
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https://github.com/huggingface/datasets/issues/2681 | 2,681 | 5 duplicate datasets | {
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"Yes this was documented in the PR that added this hf->paperswithcode mapping (https://github.com/huggingface/datasets/pull/2404) and AFAICT those are slightly distinct datasets so I think it's a wontfix\r\n\r\nFor context on the paperswithcode mapping you can also refer to https://github.com/huggingface/huggingfac... | 2021-07-20T14:25:00Z | 2021-07-20T15:44:17Z | 2021-07-20T15:44:17Z | COLLABORATOR | null | null | ## Describe the bug
In 5 cases, I could find a dataset on Paperswithcode which references two Hugging Face datasets as dataset loaders. They are:
- https://paperswithcode.com/dataset/multinli -> https://huggingface.co/datasets/multi_nli and https://huggingface.co/datasets/multi_nli_mismatch
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https://github.com/huggingface/datasets/pull/2680 | 2,680 | feat: 🎸 add paperswithcode id for qasper dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The reverse reference exists on paperswithcode:
https://paperswithcode.com/dataset/qasper | {
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https://github.com/huggingface/datasets/issues/2679 | 2,679 | Cannot load the blog_authorship_corpus due to codec errors | {
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"Hi @izaskr, thanks for reporting.\r\n\r\nHowever the traceback you joined does not correspond to the codec error message: it is about other error `NonMatchingSplitsSizesError`. Maybe you missed some important part of your traceback...\r\n\r\nI'm going to have a look at the dataset anyway...",
"Hi @izaskr, thanks... | 2021-07-20T10:13:20Z | 2021-07-21T17:02:21Z | 2021-07-21T13:11:58Z | NONE | null | null | ## Describe the bug
A codec error is raised while loading the blog_authorship_corpus.
## Steps to reproduce the bug
```
from datasets import load_dataset
raw_datasets = load_dataset("blog_authorship_corpus")
```
## Expected results
Loading the dataset without errors.
## Actual results
An error simila... | {
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https://github.com/huggingface/datasets/issues/2678 | 2,678 | Import Error in Kaggle notebook | {
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"This looks like an issue with PyArrow. Did you try reinstalling it ?",
"@lhoestq I did, and then let pip handle the installation in `pip import datasets`. I also tried using conda but it gives the same error.\r\n\r\nEdit: pyarrow version on kaggle is 4.0.0, it gets replaced with 4.0.1. So, I don't think uninstal... | 2021-07-20T09:28:38Z | 2021-07-21T13:59:26Z | 2021-07-21T13:03:02Z | NONE | null | null | ## Describe the bug
Not able to import datasets library in kaggle notebooks
## Steps to reproduce the bug
```python
!pip install datasets
import datasets
```
## Expected results
No such error
## Actual results
```
ImportError Traceback (most recent call last)
<ipython-inp... | {
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https://github.com/huggingface/datasets/issues/2677 | 2,677 | Error when downloading C4 | {
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"Hi Thanks for reporting !\r\nIt looks like these files are not correctly reported in the list of expected files to download, let me fix that ;)",
"Alright this is fixed now. We'll do a new release soon to make the fix available.\r\n\r\nIn the meantime feel free to simply pass `ignore_verifications=True` to `load... | 2021-07-20T08:37:30Z | 2021-07-20T14:41:31Z | 2021-07-20T14:38:10Z | NONE | null | null | Hi,
I am trying to download `en` corpus from C4 dataset. However, I get an error caused by validation files download (see image). My code is very primitive:
`datasets.load_dataset('c4', 'en')`
Is this a bug or do I have some configurations missing on my server?
Thanks!
<img width="1014" alt="Снимок экрана 2... | {
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https://github.com/huggingface/datasets/pull/2676 | 2,676 | Increase json reader block_size automatically | {
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For example this one:
https://huggingface.co/datasets/thomwolf/codeparrot/resolve/main/file-000000000006.json.gz
raises a pyarrow error:
```python
ArrowInvalid: straddling object straddles two block boundaries (try to increa... | {
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https://github.com/huggingface/datasets/pull/2675 | 2,675 | Parallelize ETag requests | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Since https://github.com/huggingface/datasets/pull/2628 we use the ETag or the remote data files to compute the directory in the cache where a dataset is saved. This is useful in order to reload the dataset from the cache only if the remote files haven't changed.
In this I made the ETag requests parallel using multi... | {
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https://github.com/huggingface/datasets/pull/2674 | 2,674 | Fix sacrebleu parameter name | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | DONE:
- Fix parameter name: `smooth` to `smooth_method`.
- Improve kwargs description.
- Align docs on using a metric.
- Add example of passing additional arguments in using metrics.
Related to #2669. | {
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https://github.com/huggingface/datasets/pull/2673 | 2,673 | Fix potential DuplicatedKeysError in SQuAD | {
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- Fix potential DiplicatedKeysError by ensuring keys are unique.
- Align examples in the docs with SQuAD code.
We should promote as a good practice, that the keys should be programmatically generated as unique, instead of read from data (which might be not unique). | {
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https://github.com/huggingface/datasets/pull/2672 | 2,672 | Fix potential DuplicatedKeysError in LibriSpeech | {
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- Fix unnecessary path join.
- Fix potential DiplicatedKeysError by ensuring keys are unique.
We should promote as a good practice, that the keys should be programmatically generated as unique, instead of read from data (which might be not unique). | {
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https://github.com/huggingface/datasets/pull/2671 | 2,671 | Mesinesp development and training data sets have been added. | {
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"It'll be new pull request with new commits."
] | 2021-07-19T05:14:38Z | 2021-07-19T07:32:28Z | 2021-07-19T06:45:50Z | NONE | false | {
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} | https://zenodo.org/search?page=1&size=20&q=mesinesp, Mesinesp has Medical Semantic Indexed records in Spanish. Indexing is done using DeCS codes, a sort of Spanish equivalent to MeSH terms.
The Mesinesp (Spanish BioASQ track, see https://temu.bsc.es/mesinesp) development set has a total of 750 records.
The Mesinesp ... | {
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https://github.com/huggingface/datasets/issues/2670 | 2,670 | Using sharding to parallelize indexing | {
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] | open | false | [] | 2021-07-18T21:26:26Z | 2021-10-07T13:33:25Z | null | CONTRIBUTOR | null | null | **Is your feature request related to a problem? Please describe.**
Creating an elasticsearch index on large dataset could be quite long and cannot be parallelized on shard (the index creation is colliding)
**Describe the solution you'd like**
When working on dataset shards, if an index already exists, its mapping ... | null | {
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https://github.com/huggingface/datasets/issues/2669 | 2,669 | Metric kwargs are not passed to underlying external metric f1_score | {
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"Hi @BramVanroy, thanks for reporting.\r\n\r\nFirst, note that `\"min\"` is not an allowed value for `average`. According to scikit-learn [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html), `average` can only take the values: `{\"micro\", \"macro\", \"samples\", \"weigh... | 2021-07-18T08:32:31Z | 2021-07-18T18:36:05Z | 2021-07-18T11:19:04Z | CONTRIBUTOR | null | null | ## Describe the bug
When I want to use F1 score with average="min", this keyword argument does not seem to be passed through to the underlying sklearn metric. This is evident because [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) throws an error telling me so.
## Steps to... | {
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https://github.com/huggingface/datasets/pull/2668 | 2,668 | Add Russian SuperGLUE | {
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"Added the missing label classes and their explanations (to the best of my understanding)",
"Thanks a lot ! Once the last comment about the label names is addressed we can merge :)"
] | 2021-07-17T17:41:28Z | 2021-07-29T11:50:31Z | 2021-07-29T11:50:31Z | CONTRIBUTOR | false | {
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This adds the [Russian SuperGLUE](https://russiansuperglue.com/) dataset. For the most part I reused the code for the original SuperGLUE, although there are some relatively minor differences in the structure that I accounted for. | {
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https://github.com/huggingface/datasets/pull/2667 | 2,667 | Use tqdm from tqdm_utils | {
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"The current CI failure is due to modifications in the dataset script.",
"Merging since the CI is only failing because of dataset card issues, which is unrelated to this PR"
] | 2021-07-17T17:06:35Z | 2021-07-19T17:39:10Z | 2021-07-19T17:32:00Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/pull/2666 | 2,666 | Adds CodeClippy dataset [WIP] | {
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"Thanks for your contribution, @arampacha. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if... | 2021-07-17T13:32:04Z | 2023-07-26T23:06:01Z | 2022-10-03T09:37:35Z | NONE | true | {
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https://the-eye.eu/public/AI/training_data/code_clippy_data/ | {
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https://github.com/huggingface/datasets/pull/2665 | 2,665 | Adds APPS dataset to the hub [WIP] | {
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"Thanks for your contribution, @arampacha. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if... | 2021-07-17T13:13:17Z | 2022-10-03T09:38:10Z | 2022-10-03T09:38:10Z | NONE | true | {
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https://github.com/huggingface/datasets/issues/2663 | 2,663 | [`to_json`] add multi-proc sharding support | {
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"Hi @stas00, \r\nI want to work on this issue and I was thinking why don't we use `imap` [in this loop](https://github.com/huggingface/datasets/blob/440b14d0dd428ae1b25881aa72ba7bbb8ad9ff84/src/datasets/io/json.py#L99)? This way, using offset (which is being used to slice the pyarrow table) we can convert pyarrow ... | 2021-07-16T19:41:50Z | 2021-09-13T13:56:37Z | 2021-09-13T13:56:37Z | CONTRIBUTOR | null | null | As discussed on slack it appears that `to_json` is quite slow on huge datasets like OSCAR.
I implemented sharded saving, which is much much faster - but the tqdm bars all overwrite each other, so it's hard to make sense of the progress, so if possible ideally this multi-proc support could be implemented internally i... | {
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https://github.com/huggingface/datasets/pull/2662 | 2,662 | Load Dataset from the Hub (NO DATASET SCRIPT) | {
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"This is ready for review now :)\r\n\r\nI would love to have some feedback on the changes in load.py @albertvillanova. There are many changes so if you have questions let me know, especially on the `resolve_data_files` functions and on the changes in `prepare_module`.\r\n\r\nAnd @thomwolf if you want to take a look... | 2021-07-16T17:21:58Z | 2021-08-25T14:53:01Z | 2021-08-25T14:18:08Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## Load the data from any Dataset repository on the Hub
This PR adds support for loading datasets from any dataset repository on the hub, without requiring any dataset script.
As a user it's now possible to create a repo and upload some csv/json/text/parquet files, and then be able to load the data in one line. H... | {
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https://github.com/huggingface/datasets/pull/2661 | 2,661 | Add SD task for SUPERB | {
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"I make a summary about our discussion with @lewtun and @Narsil on the agreed schema for this dataset and the additional steps required to generate the 2D array labels:\r\n- The labels for this dataset are a 2D array:\r\n Given an example:\r\n ```python\r\n {\"record_id\": record_id, \"file\": file, \"start\": s... | 2021-07-16T16:43:21Z | 2021-08-04T17:03:53Z | 2021-08-04T17:03:53Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
TODO:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Upl... | {
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https://github.com/huggingface/datasets/pull/2660 | 2,660 | Move checks from _map_single to map | {
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"@lhoestq This one has been open for a while. Could you please take a look?",
"@lhoestq Ready for the final review!",
"I forgot to update the signature of `DatasetDict.map`, so did that now."
] | 2021-07-16T13:53:33Z | 2021-09-06T14:12:23Z | 2021-09-06T14:12:23Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The goal of this PR is to remove duplicated checks in the `map` logic to execute them only once whenever possible (`fn_kwargs`, `input_columns`, ...). Additionally, this PR improves the consistency (to align it with `input_columns`) of the `remove_columns` check by adding support for a single string value, which is the... | {
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https://github.com/huggingface/datasets/pull/2659 | 2,659 | Allow dataset config kwargs to be None | {
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The dataset config kwargs that were set to None we simply ignored.
This was an issue when None has some meaning for certain parameters of certain builders, like the `sep` parameter of the "csv" builder that allows to infer to separator.
cc @SBrandeis | {
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https://github.com/huggingface/datasets/issues/2658 | 2,658 | Can't pass `sep=None` to load_dataset("csv", ...) to infer the separator via pandas.read_csv | {
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Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | {
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https://github.com/huggingface/datasets/issues/2657 | 2,657 | `to_json` reporting enhancements | {
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] | open | false | [] | 2021-07-15T23:32:18Z | 2021-07-15T23:33:53Z | null | CONTRIBUTOR | null | null | While using `to_json` 2 things came to mind that would have made the experience easier on the user:
1. Could we have a `desc` arg for the tqdm use and a fallback to just `to_json` so that it'd be clear to the user what's happening? Surely, one can just print the description before calling json, but I thought perhaps... | null | {
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https://github.com/huggingface/datasets/pull/2656 | 2,656 | Change `from_csv` default arguments | {
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"This is not the default in pandas right ?\r\nWe try to align our CSV loader with the pandas API.\r\n\r\nMoreover according to their documentation, the python parser is used when sep is None, which might not be the fastest one.\r\n\r\nMaybe users could just specify `sep=None` themselves ?\r\nIn this case we should ... | 2021-07-15T14:09:06Z | 2023-09-24T09:56:44Z | 2021-07-16T10:23:26Z | CONTRIBUTOR | false | {
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This PR allows users to use this pandas's feature by passing `sep=None` to `Dataset.from_csv`:
```python
Dataset.from_csv(
...,
sep=None
)
``` | {
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https://github.com/huggingface/datasets/issues/2655 | 2,655 | Allow the selection of multiple columns at once | {
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"Hi! I was looking into this and hope you can clarify a point. Your my_dataset variable would be of type DatasetDict which means the alternative you've described (dict comprehension) is what makes sense. \r\nIs there a reason why you wouldn't want to convert my_dataset to a pandas df if you'd like to use it like on... | 2021-07-15T13:30:45Z | 2024-01-09T15:11:27Z | 2024-01-09T07:46:28Z | CONTRIBUTOR | null | null | **Is your feature request related to a problem? Please describe.**
Similar to pandas, it would be great if we could select multiple columns at once.
**Describe the solution you'd like**
```python
my_dataset = ... # Has columns ['idx', 'sentence', 'label']
idx, label = my_dataset[['idx', 'label']]
```
**... | {
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https://github.com/huggingface/datasets/issues/2654 | 2,654 | Give a user feedback if the dataset he loads is streamable or not | {
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"#self-assign",
"I understand it already raises a `NotImplementedError` exception, eg:\r\n\r\n```\r\n>>> dataset = load_dataset(\"journalists_questions\", name=\"plain_text\", split=\"train\", streaming=True)\r\n\r\n[...]\r\nNotImplementedError: Extraction protocol for file at https://drive.google.com/uc?export=d... | 2021-07-15T09:07:27Z | 2021-08-02T11:03:21Z | null | CONTRIBUTOR | null | null | **Is your feature request related to a problem? Please describe.**
I would love to know if a `dataset` is with the current implementation streamable or not.
**Describe the solution you'd like**
We could show a warning when a dataset is loaded with `load_dataset('...',streaming=True)` when its lot streamable, e.g.... | null | {
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https://github.com/huggingface/datasets/issues/2653 | 2,653 | Add SD task for SUPERB | {
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"Note that this subset requires us to:\r\n\r\n* generate the LibriMix corpus from LibriSpeech\r\n* prepare the corpus for diarization\r\n\r\nAs suggested by @lhoestq we should perform these steps locally and add the prepared data to this public repo on the Hub: https://huggingface.co/datasets/superb/superb-data\r\n... | 2021-07-15T07:51:40Z | 2021-08-04T17:03:52Z | 2021-08-04T17:03:52Z | MEMBER | null | null | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
Steps:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Up... | {
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https://github.com/huggingface/datasets/pull/2652 | 2,652 | Fix logging docstring | {
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https://github.com/huggingface/datasets/issues/2651 | 2,651 | Setting log level higher than warning does not suppress progress bar | {
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"Hi,\r\n\r\nyou can suppress progress bars by patching logging as follows:\r\n```python\r\nimport datasets\r\nimport logging\r\ndatasets.logging.get_verbosity = lambda: logging.NOTSET\r\n# map call ...\r\n```\r\nEDIT: now you have to use `disable_progress_bar `",
"Thank you, it worked :)",
"See https://github.c... | 2021-07-14T21:06:51Z | 2022-07-08T14:51:57Z | 2021-07-15T03:41:35Z | NONE | null | null | ## Describe the bug
I would like to disable progress bars for `.map` method (and other methods like `.filter` and `load_dataset` as well).
According to #1627 one can suppress it by setting log level higher than `warning`, however doing so doesn't suppress it with version 1.9.0.
I also tried to set `DATASETS_VERBOS... | {
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https://github.com/huggingface/datasets/issues/2650 | 2,650 | [load_dataset] shard and parallelize the process | {
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"I need the same feature for distributed training",
"I think @TevenLeScao is exploring adding multiprocessing in `GeneratorBasedBuilder._prepare_split` - feel free to post updates here :)",
"Posted a PR to address the building side, still needs something to load sharded arrow files + tests",
"Closing as this ... | 2021-07-14T18:04:58Z | 2023-11-28T19:11:41Z | 2023-11-28T19:11:40Z | CONTRIBUTOR | null | null | - Some huge datasets take forever to build the first time. (e.g. oscar/en) as it's done in a single cpu core.
- If the build crashes, everything done up to that point gets lost
Request: Shard the build over multiple arrow files, which would enable:
- much faster build by parallelizing the build process
- if the p... | {
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https://github.com/huggingface/datasets/issues/2649 | 2,649 | adding progress bar / ETA for `load_dataset` | {
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"Is this done now? I see progress bars when using `load_dataset`.",
"There are progress bars when downloading data and when preparing them as Arrow files.\r\n\r\nThe \"total silence\" part mentioned in OP refer to checksums verifications which have had some changes in the latest release 2.10:\r\n- they're disable... | 2021-07-14T17:34:39Z | 2023-03-27T10:32:49Z | null | CONTRIBUTOR | null | null | Please consider:
```
Downloading and preparing dataset oscar/unshuffled_deduplicated_en (download: 462.40 GiB, generated: 1.18 TiB, post-processed: Unknown size, total: 1.63 TiB) to cache/oscar/unshuffled_deduplicated_en/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2...
HF google storage unre... | null | {
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https://github.com/huggingface/datasets/issues/2648 | 2,648 | Add web_split dataset for Paraphase and Rephrase benchmark | {
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"#take"
] | 2021-07-14T14:24:36Z | 2021-07-14T14:26:12Z | null | CONTRIBUTOR | null | null | ## Describe:
For getting simple sentences from complex sentence there are dataset and task like wiki_split that is available in hugging face datasets. This web_split is a very similar dataset. There some research paper which states that by combining these two datasets we if we train the model it will yield better resu... | null | {
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https://github.com/huggingface/datasets/pull/2647 | 2,647 | Fix anchor in README | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I forgot to push this fix in #2611, so I'm sending it now. | {
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https://github.com/huggingface/datasets/issues/2646 | 2,646 | downloading of yahoo_answers_topics dataset failed | {
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"Hi ! I just tested and it worked fine today for me.\r\n\r\nI think this is because the dataset is stored on Google Drive which has a quota limit for the number of downloads per day, see this similar issue https://github.com/huggingface/datasets/issues/996 \r\n\r\nFeel free to try again today, now that the quota wa... | 2021-07-14T12:31:05Z | 2022-08-04T08:28:24Z | 2022-08-04T08:28:24Z | NONE | null | null | ## Describe the bug
I get an error datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files when I try to download the yahoo_answers_topics dataset
## Steps to reproduce the bug
self.dataset = load_dataset(
'yahoo_answers_topics', cache_dir=self.config... | {
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https://github.com/huggingface/datasets/issues/2645 | 2,645 | load_dataset processing failed with OS error after downloading a dataset | {
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"Hi ! It looks like an issue with pytorch.\r\n\r\nCould you try to run `import torch` and see if it raises an error ?",
"> Hi ! It looks like an issue with pytorch.\r\n> \r\n> Could you try to run `import torch` and see if it raises an error ?\r\n\r\nIt works. Thank you!"
] | 2021-07-14T12:23:53Z | 2021-07-15T09:34:02Z | 2021-07-15T09:34:02Z | NONE | null | null | ## Describe the bug
After downloading a dataset like opus100, there is a bug that
OSError: Cannot find data file.
Original error:
dlopen: cannot load any more object with static TLS
## Steps to reproduce the bug
```python
from datasets import load_dataset
this_dataset = load_dataset('opus100', 'af-en')
```
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https://github.com/huggingface/datasets/issues/2644 | 2,644 | Batched `map` not allowed to return 0 items | {
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"Hi ! Thanks for reporting. Indeed it looks like type inference makes it fail. We should probably just ignore this step until a non-empty batch is passed.",
"Sounds good! Do you want me to propose a PR? I'm quite busy right now, but if it's not too urgent I could take a look next week.",
"Sure if you're interes... | 2021-07-14T09:58:19Z | 2021-07-26T14:55:15Z | 2021-07-26T14:55:15Z | MEMBER | null | null | ## Describe the bug
I'm trying to use `map` to filter a large dataset by selecting rows that match an expensive condition (files referenced by one of the columns need to exist in the filesystem, so we have to `stat` them). According to [the documentation](https://huggingface.co/docs/datasets/processing.html#augmenting... | {
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https://github.com/huggingface/datasets/issues/2643 | 2,643 | Enum used in map functions will raise a RecursionError with dill. | {
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"I'm running into this as well. (Thank you so much for reporting @jorgeecardona — was staring at this massive stack trace and unsure what exactly was wrong!)",
"Hi ! Thanks for reporting :)\r\n\r\nUntil this is fixed on `dill`'s side, we could implement a custom saving in our Pickler indefined in utils.py_utils.p... | 2021-07-14T09:16:08Z | 2021-11-02T09:51:11Z | null | NONE | null | null | ## Describe the bug
Enums used in functions pass to `map` will fail at pickling with a maximum recursion exception as described here: https://github.com/uqfoundation/dill/issues/250#issuecomment-852566284
In my particular case, I use an enum to define an argument with fixed options using the `TraininigArguments` ... | null | {
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https://github.com/huggingface/datasets/issues/2642 | 2,642 | Support multi-worker with streaming dataset (IterableDataset). | {
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"Hi ! This is a great idea :)\r\nI think we could have something similar to what we have in `datasets.Dataset.map`, i.e. a `num_proc` parameter that tells how many processes to spawn to parallelize the data processing. \r\n\r\nRegarding AUTOTUNE, this could be a nice feature as well, we could see how to add it in a... | 2021-07-14T08:22:58Z | 2024-05-03T10:11:04Z | null | CONTRIBUTOR | null | null | **Is your feature request related to a problem? Please describe.**
The current `.map` does not support multi-process, CPU can become bottleneck if the pre-processing is complex (e.g. t5 span masking).
**Describe the solution you'd like**
Ideally `.map` should support multi-worker like tfds, with `AUTOTUNE`.
**D... | null | {
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https://github.com/huggingface/datasets/issues/2641 | 2,641 | load_dataset("financial_phrasebank") NonMatchingChecksumError | {
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"Hi! It's probably because this dataset is stored on google drive and it has a per day quota limit. It should work if you retry, I was able to initiate the download.\r\n\r\nSimilar issue [here](https://github.com/huggingface/datasets/issues/2646)",
"Hi ! Loading the dataset works on my side as well.\r\nFeel free ... | 2021-07-13T21:21:49Z | 2022-08-04T08:30:08Z | 2022-08-04T08:30:08Z | NONE | null | null | ## Describe the bug
Attempting to download the financial_phrasebank dataset results in a NonMatchingChecksumError
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("financial_phrasebank", 'sentences_allagree')
```
## Expected results
I expect to see the financi... | {
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https://github.com/huggingface/datasets/pull/2640 | 2,640 | Fix docstrings | {
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https://github.com/huggingface/datasets/pull/2639 | 2,639 | Refactor patching to specific submodule | {
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In relation with the initial approach followed in #2631. | {
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https://github.com/huggingface/datasets/pull/2638 | 2,638 | Streaming for the Json loader | {
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"A note is that I think we should add a few indicator of status (as mentioned by @stas00 in #2649), probably at the (1) downloading, (2) extracting and (3) reading steps. In particular when loading many very large files it's interesting to know a bit where we are in the process.",
"I tested locally, and the built... | 2021-07-13T14:37:06Z | 2021-07-16T15:59:32Z | 2021-07-16T15:59:31Z | MEMBER | false | {
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Moreover, it appeared that `pyarrow.json.read_json` was not really suited for streaming as it was downloading too much data and failing if `block_size` was not properly configured (related... | {
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https://github.com/huggingface/datasets/pull/2636 | 2,636 | Streaming for the Pandas loader | {
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Indeed, when streaming, open is extended to support reading from remote files and handles authentication to the HF Hub | {
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https://github.com/huggingface/datasets/pull/2635 | 2,635 | Streaming for the CSV loader | {
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https://github.com/huggingface/datasets/pull/2634 | 2,634 | Inject ASR template for lj_speech dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Related to: #2565, #2633.
cc: @lewtun | {
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https://github.com/huggingface/datasets/pull/2633 | 2,633 | Update ASR tags | {
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https://github.com/huggingface/datasets/pull/2632 | 2,632 | add image-classification task template | {
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"Awesome!",
"Thanks for adding a new task template - great work @nateraw 🚀 !"
] | 2021-07-12T17:41:03Z | 2021-07-13T15:44:28Z | 2021-07-13T15:28:16Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Snippet below is the tl;dr, but you can try it out directly here:
[](https://colab.research.google.com/gist/nateraw/005c025d41f0e48ae3d4ee61c0f20b70/image-classification-task-template-demo.ipynb)
```python
from datasets import load_datase... | {
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https://github.com/huggingface/datasets/pull/2631 | 2,631 | Delete extracted files when loading dataset | {
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"Sure @stas00, it is still a draft pull request. :)",
"Yes, I noticed it after reviewing - my apologies.",
"The problem with this approach is that it also deletes the downloaded files (if they need not be extracted). 😟 ",
"> The problem with this approach is that it also deletes the downloaded files (if they... | 2021-07-12T16:39:33Z | 2021-07-19T09:08:19Z | 2021-07-19T09:08:19Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Close #2481, close #2604, close #2591.
cc: @stas00, @thomwolf, @BirgerMoell | {
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https://github.com/huggingface/datasets/issues/2630 | 2,630 | Progress bars are not properly rendered in Jupyter notebook | {
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"To add my experience when trying to debug this issue:\r\n\r\nSeems like previously the workaround given [here](https://github.com/tqdm/tqdm/issues/485#issuecomment-473338308) worked around this issue. But with the latest version of jupyter/tqdm I still get terminal warnings that IPython tried to send a message fro... | 2021-07-12T14:07:13Z | 2022-02-03T15:55:33Z | 2022-02-03T15:55:33Z | MEMBER | null | null | ## Describe the bug
The progress bars are not Jupyter widgets; regular progress bars appear (like in a terminal).
## Steps to reproduce the bug
```python
ds.map(tokenize, num_proc=10)
```
## Expected results
Jupyter widgets displaying the progress bars.
## Actual results
Simple plane progress bars.
cc... | {
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https://github.com/huggingface/datasets/issues/2629 | 2,629 | Load datasets from the Hub without requiring a dataset script | {
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"This is so cool, let us know if we can help with anything on the hub side (@Pierrci @elishowk) 🎉 "
] | 2021-07-12T08:45:17Z | 2021-08-25T14:18:08Z | 2021-08-25T14:18:08Z | MEMBER | null | null | As a user I would like to be able to upload my csv/json/text/parquet/etc. files in a dataset repository on the Hugging Face Hub and be able to load this dataset with `load_dataset` without having to implement a dataset script.
Moreover I would like to be able to specify which file goes into which split using the `da... | {
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https://github.com/huggingface/datasets/pull/2628 | 2,628 | Use ETag of remote data files | {
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Related to #2616. | {
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https://github.com/huggingface/datasets/pull/2627 | 2,627 | Minor fix tests with Windows paths | {
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https://github.com/huggingface/datasets/pull/2626 | 2,626 | Use correct logger in metrics.py | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #2624 | {
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https://github.com/huggingface/datasets/issues/2625 | 2,625 | ⚛️😇⚙️🔑 | {
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https://github.com/huggingface/datasets/issues/2624 | 2,624 | can't set verbosity for `metric.py` | {
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"Thanks @thomas-happify for reporting and thanks @mariosasko for the fix."
] | 2021-07-10T20:23:45Z | 2021-07-12T05:54:29Z | 2021-07-12T05:54:29Z | NONE | null | null | ## Describe the bug
```
[2021-07-10 20:13:11,528][datasets.utils.filelock][INFO] - Lock 139705371374976 acquired on /root/.cache/huggingface/metrics/seqeval/default/default_experiment-1-0.arrow.lock
[2021-07-10 20:13:11,529][datasets.arrow_writer][INFO] - Done writing 32 examples in 6100 bytes /root/.cache/huggingfa... | {
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https://github.com/huggingface/datasets/pull/2623 | 2,623 | [Metrics] added wiki_split metrics | {
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"Looks all good to me thanks :)\r\nJust did some minor corrections in the docstring"
] | 2021-07-10T14:51:50Z | 2021-07-14T14:28:13Z | 2021-07-12T22:34:31Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes: #2606
This pull request adds combine metrics for the wikisplit or English sentence split task
Reviewer: @patrickvonplaten | {
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https://github.com/huggingface/datasets/issues/2622 | 2,622 | Integration with AugLy | {
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"Hi,\r\n\r\nyou can define your own custom formatting with `Dataset.set_transform()` and then run the tokenizer with the batches of augmented data as follows:\r\n```python\r\ndset = load_dataset(\"imdb\", split=\"train\") # Let's say we are working with the IMDB dataset\r\ndset.set_transform(lambda ex: {\"text\": ... | 2021-07-10T00:03:09Z | 2023-07-20T13:18:48Z | 2023-07-20T13:18:47Z | NONE | null | null | **Is your feature request related to a problem? Please describe.**
Facebook recently launched a library, [AugLy](https://github.com/facebookresearch/AugLy) , that has a unified API for augmentations for image, video and text.
It would be pretty exciting to have it hooked up to HF libraries so that we can make NLP m... | {
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https://github.com/huggingface/datasets/pull/2621 | 2,621 | Use prefix to allow exceed Windows MAX_PATH | {
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"Does this mean the `FileNotFoundError` that avoids infinite loop can be removed?",
"Yes, I think so...",
"Or maybe we could leave it in case a relative path exceeds the MAX_PATH limit?",
" > Or maybe we could leave it in case a relative path exceeds the MAX_PATH limit?\r\n\r\nWhat about converting relative p... | 2021-07-09T16:39:53Z | 2021-07-16T15:28:12Z | 2021-07-16T15:28:11Z | MEMBER | false | {
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See: https://docs.microsoft.com/en-us/windows/win32/fileio/naming-a-file?redirectedfrom=MSDN#win32-file-namespaces
Related to #2524, #2220. | {
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https://github.com/huggingface/datasets/pull/2620 | 2,620 | Add speech processing tasks | {
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"Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?",
"> Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?\r\n\r\nYes there's a few - I'll fix them tomorrow :)"
] | 2021-07-09T16:07:29Z | 2021-07-12T18:32:59Z | 2021-07-12T17:32:02Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR replaces the `automatic-speech-recognition` task category with a broader `speech-processing` category.
The tasks associated with this category are derived from the [SUPERB benchmark](https://arxiv.org/abs/2105.01051), and ASR is included in this set. | {
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https://github.com/huggingface/datasets/pull/2619 | 2,619 | Add ASR task for SUPERB | {
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"Wait until #2620 is merged before pushing the README tags in this PR",
"> Thanks!\r\n> \r\n> One question: aren't you adding `task_templates` to the `_info` method (and to the `dataset_infos.json`?\r\n\r\ngreat catch! i've now added the asr task template (along with a mapping from superb task -> template) and up... | 2021-07-09T15:19:45Z | 2021-07-15T08:55:58Z | 2021-07-13T12:40:18Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR starts building up the SUPERB benchmark by including the ASR task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/v0.2.0/downstream#asr-automatic-speech-recognition).
Usage:
```python
from datasets import load_dataset
... | {
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https://github.com/huggingface/datasets/issues/2618 | 2,618 | `filelock.py` Error | {
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"Hi @liyucheng09, thanks for reporting.\r\n\r\nApparently this issue has to do with your environment setup. One question: is your data in an NFS share? Some people have reported this error when using `fcntl` to write to an NFS share... If this is the case, then it might be that your NFS just may not be set up to pr... | 2021-07-09T15:12:49Z | 2024-06-21T06:14:07Z | 2023-11-23T19:06:19Z | NONE | null | null | ## Describe the bug
It seems that the `filelock.py` went error.
```
>>> ds=load_dataset('xsum')
^CTraceback (most recent call last):
File "/user/HS502/yl02706/.conda/envs/lyc/lib/python3.6/site-packages/datasets/utils/filelock.py", line 402, in _acquire
fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
... | {
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https://github.com/huggingface/datasets/pull/2617 | 2,617 | Fix missing EOL issue in to_json for old versions of pandas | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Some versions of pandas don't add an EOL at the end of the output of `to_json`.
Therefore users could end up having two samples in the same line
Close https://github.com/huggingface/datasets/issues/2615 | {
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https://github.com/huggingface/datasets/pull/2616 | 2,616 | Support remote data files | {
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"@lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?",
"> @lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?\r\n\r\nSure ! We can get the ETag with\r\n```python\r\nheaders = get_authentication_headers_for_url(url, use_a... | 2021-07-09T14:07:38Z | 2021-07-09T16:13:41Z | 2021-07-09T16:13:41Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Add support for (streaming) remote data files:
```python
data_files = f"https://huggingface.co/datasets/{repo_id}/resolve/main/{relative_file_path}"
ds = load_dataset("json", split="train", data_files=data_files, streaming=True)
```
cc: @thomwolf | {
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https://github.com/huggingface/datasets/issues/2615 | 2,615 | Jsonlines export error | {
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"Thanks for reporting @TevenLeScao! I'm having a look...",
"(not sure what just happened on the assignations sorry)",
"For some reason this happens (both `datasets` version are on master) only on Python 3.6 and not Python 3.8.",
"@TevenLeScao we are using `pandas` to serialize the dataset to JSON Lines. So it... | 2021-07-09T14:02:05Z | 2021-07-09T15:29:07Z | 2021-07-09T15:28:33Z | CONTRIBUTOR | null | null | ## Describe the bug
When exporting large datasets in jsonlines (c4 in my case) the created file has an error every 9999 lines: the 9999th and 10000th are concatenated, thus breaking the jsonlines format. This sounds like it is related to batching, which is by 10000 by default
## Steps to reproduce the bug
This wha... | {
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https://github.com/huggingface/datasets/pull/2614 | 2,614 | Convert numpy scalar to python float in Pearsonr output | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Following of https://github.com/huggingface/datasets/pull/2612 | {
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https://github.com/huggingface/datasets/pull/2613 | 2,613 | Use ndarray.item instead of ndarray.tolist | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR follows up on #2612 to use `numpy.ndarray.item` instead of `numpy.ndarray.tolist` as the latter is somewhat confusing to the developer (even though it works).
Judging from the `numpy` docs, `ndarray.item` is closer to what we want: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.item.html#nump... | {
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