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] | closed | false | null | [] | null | 5 | 2021-01-20T23:56:03 | 2021-03-09T02:52:05 | 2021-03-08T14:34:52 | NONE | null | ## Adding a Dataset
- **Name:** FewRel
- **Description:** Large-Scale Supervised Few-Shot Relation Classification Dataset
- **Paper:** @inproceedings{han2018fewrel,
title={FewRel:A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation},
auth... | {
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] | closed | false | null | [] | null | 0 | 2021-01-20T22:18:44 | 2021-03-01T10:36:21 | 2021-03-01T10:36:21 | CONTRIBUTOR | null | ## Adding a Dataset
- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1755 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1755/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1755/comments | https://api.github.com/repos/huggingface/datasets/issues/1755/events | https://github.com/huggingface/datasets/issues/1755 | 790,324,734 | MDU6SXNzdWU3OTAzMjQ3MzQ= | 1,755 | Using select/reordering datasets slows operations down immensely | {
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The below examp... | {
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https://api.github.com/repos/huggingface/datasets/issues/1754 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1754/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1754/comments | https://api.github.com/repos/huggingface/datasets/issues/1754/events | https://github.com/huggingface/datasets/pull/1754 | 789,881,730 | MDExOlB1bGxSZXF1ZXN0NTU4MTU5NjEw | 1,754 | Use a config id in the cache directory names for custom configs | {
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For example in the following code the `mnli_custom` would reuse the cache used to create `mnli` instead of generating a new dataset with the new label classes:
```python
from ... | {
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<img width="814" alt="Screenshot 2021-01-20 at 09 48 44" src="https://user-images.githubusercontent.com/17256847/105164848-8b9da900-5b0d-11eb-9e20-a38f559d2037.png">
This pull request is intended to fix that.
Thanks! | {
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<img width="814" alt="Screenshot 2021-01-20 at 09 48 44" src="https://user-images.githubusercontent.com/17256847/105158000-686efb80-5b05-11eb-8bb0-9c8... | {
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https://api.github.com/repos/huggingface/datasets/issues/1750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1750/comments | https://api.github.com/repos/huggingface/datasets/issues/1750/events | https://github.com/huggingface/datasets/pull/1750 | 788,668,085 | MDExOlB1bGxSZXF1ZXN0NTU3MTM1MzM1 | 1,750 | Fix typo in README.md of cnn_dailymail | {
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I am afraid this is a trivial matter, but I would like to make a suggestion for revision. | {
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I made some changes following @bhavitvyamalik recommendation in #1678:
* Contains all metadata.
* Used official implementation from the [/swda](https://github.com/cgpotts/swda) repo.
* Add official train and test splits used in [Stolcke et al. (2000)](https://web.stanford.edu/~jur... | {
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I need to slice a dataset with random seed, I looked into documentation here https://huggingface.co/docs/datasets/splits.html
I could not find a seed option, could you assist me please how I can get a slice for different seeds?
thank you.
@lhoestq | {
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I see two versions of wsc in superglue, and I am not sure what is the differences and which one is the original one. could you help to discuss the differences? thanks @lhoestq | {
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I am trying to create a custom metric for my training as follows, where f1 is my own metric:
```python
def _info(self):
# TODO: Specifies the datasets.MetricInfo object
return datasets.MetricInfo(
# This is the description that will appear on the metrics page.
... | {
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https://huggingface.slack.com/archives/C014N4749J9/p1609668119337400
The next step is to add a compatible option in the new `run_glue.py`
I duplicated `glue` and made the following changes:
1. Change the name to `glue_compat`.
2. Change the label assignments for MN... | {
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pretrained_model:bert-base-uncased
error description:
when i use these resoruce to train fine_tuning a text_classification on sem_eval_2014_task_1,there always be some problem(when i use other dataset ,there exist the error too). And i followed the colab code (url:https://colab.researc... | {
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https://api.github.com/repos/huggingface/datasets/issues/1740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1740/comments | https://api.github.com/repos/huggingface/datasets/issues/1740/events | https://github.com/huggingface/datasets/pull/1740 | 787,264,605 | MDExOlB1bGxSZXF1ZXN0NTU2MDA5NjM1 | 1,740 | add id_liputan6 dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1739/comments | https://api.github.com/repos/huggingface/datasets/issues/1739/events | https://github.com/huggingface/datasets/pull/1739 | 787,219,138 | MDExOlB1bGxSZXF1ZXN0NTU1OTY5Njgx | 1,739 | fixes and improvements for the WebNLG loader | {
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- adds additional fields for v3.0_ru
- adds info to the WebNLG data card | {
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https://api.github.com/repos/huggingface/datasets/issues/1738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1738/comments | https://api.github.com/repos/huggingface/datasets/issues/1738/events | https://github.com/huggingface/datasets/pull/1738 | 786,068,440 | MDExOlB1bGxSZXF1ZXN0NTU0OTk2NDU4 | 1,738 | Conda support | {
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Will appear here: https://anaconda.org/huggingface/datasets
Depends on `conda-forge` for now, so the following is required for installation:
```
conda install -c huggingface -c conda-forge datasets
``` | {
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Looking at the current features hierarchy, we have "paragraphs" with a list of "sentences" with a list of "sentences?!". But the actual hierarchy is a "text" with a list of "paragr... | {
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https://api.github.com/repos/huggingface/datasets/issues/1734 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1734/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1734/comments | https://api.github.com/repos/huggingface/datasets/issues/1734/events | https://github.com/huggingface/datasets/pull/1734 | 784,956,707 | MDExOlB1bGxSZXF1ZXN0NTU0MDYxMzMz | 1,734 | Fix empty token bug for `thainer` and `lst20` | {
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https://api.github.com/repos/huggingface/datasets/issues/1733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1733/comments | https://api.github.com/repos/huggingface/datasets/issues/1733/events | https://github.com/huggingface/datasets/issues/1733 | 784,903,002 | MDU6SXNzdWU3ODQ5MDMwMDI= | 1,733 | connection issue with glue, what is the data url for glue? | {
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my codes sometimes fails due to connection issue with glue, could you tell me how I can have the URL datasets library is trying to read GLUE from to test the machines I am working on if there is an issue on my side or not
thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/1732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1732/comments | https://api.github.com/repos/huggingface/datasets/issues/1732/events | https://github.com/huggingface/datasets/pull/1732 | 784,874,490 | MDExOlB1bGxSZXF1ZXN0NTUzOTkzNTAx | 1,732 | [GEM Dataset] Added TurkCorpus, an evaluation dataset for sentence simplification. | {
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| {
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https://api.github.com/repos/huggingface/datasets/issues/1730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1730/comments | https://api.github.com/repos/huggingface/datasets/issues/1730/events | https://github.com/huggingface/datasets/pull/1730 | 784,617,525 | MDExOlB1bGxSZXF1ZXN0NTUzNzgxMDY0 | 1,730 | Add MNIST dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1729/comments | https://api.github.com/repos/huggingface/datasets/issues/1729/events | https://github.com/huggingface/datasets/issues/1729 | 784,565,898 | MDU6SXNzdWU3ODQ1NjU4OTg= | 1,729 | Is there support for Deep learning datasets? | {
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https://api.github.com/repos/huggingface/datasets/issues/1728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1728/comments | https://api.github.com/repos/huggingface/datasets/issues/1728/events | https://github.com/huggingface/datasets/issues/1728 | 784,458,342 | MDU6SXNzdWU3ODQ0NTgzNDI= | 1,728 | Add an entry to an arrow dataset | {
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**Motivation: I want to transform the sentences in the dataset and add them to the original dataset**
For example, say we have the following code:
``` python
from datasets import load_dataset
# Load a dataset and print the first examples in the training s... | {
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https://api.github.com/repos/huggingface/datasets/issues/1727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1727/comments | https://api.github.com/repos/huggingface/datasets/issues/1727/events | https://github.com/huggingface/datasets/issues/1727 | 784,435,131 | MDU6SXNzdWU3ODQ0MzUxMzE= | 1,727 | BLEURT score calculation raises UnrecognizedFlagError | {
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My environment:
```
python==3.8.5
datasets==1.2.0
tensorflow==2.3.1
cudatoolkit==11.0.221
```
Test code for reproducing the error:
```
from datasets import load_metric
bleurt = load_me... | {
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https://api.github.com/repos/huggingface/datasets/issues/1726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1726/comments | https://api.github.com/repos/huggingface/datasets/issues/1726/events | https://github.com/huggingface/datasets/pull/1726 | 784,336,370 | MDExOlB1bGxSZXF1ZXN0NTUzNTQ0ODg4 | 1,726 | Offline loading | {
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Currently if there's not internet connection then modules (datasets or metrics) that have already been loaded in the past can't be loaded and it raises a ConnectionError.
This is because `prepare_module` fetches online for the latest vers... | {
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https://api.github.com/repos/huggingface/datasets/issues/1725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1725/comments | https://api.github.com/repos/huggingface/datasets/issues/1725/events | https://github.com/huggingface/datasets/issues/1725 | 784,182,273 | MDU6SXNzdWU3ODQxODIyNzM= | 1,725 | load the local dataset | {
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>>>from datasets import load_dataset
>>> dataset = load_dataset('json', data_files='my_file.json')
but the first arg is path...
so how should i do if i want to load the local dataset for model training?
i will be grateful if you can help me handle this problem!
thanks a lot! | {
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https://api.github.com/repos/huggingface/datasets/issues/1723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1723/comments | https://api.github.com/repos/huggingface/datasets/issues/1723/events | https://github.com/huggingface/datasets/pull/1723 | 783,982,100 | MDExOlB1bGxSZXF1ZXN0NTUzMjQ4MzU1 | 1,723 | ADD S3 support for downloading and uploading processed datasets | {
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This PR adds the functionality to load and save `datasets` from and to s3.
You can save `datasets` with either `Dataset.save_to_disk()` or `DatasetDict.save_to_disk`.
You can load `datasets` with either `load_from_disk` or `Dataset.load_from_disk()`, `DatasetDict.load_from_disk()`.
Lo... | {
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I am trying to fine-tuning a RoBERTa on a remote server, which is strictly banning internet. I try to install all the packages by hand and try to run run_mlm.py on the server. It works well on colab, but when I try to run it on this offline server, it shows:
![image](https://us... | {
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https://api.github.com/repos/huggingface/datasets/issues/1720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1720/comments | https://api.github.com/repos/huggingface/datasets/issues/1720/events | https://github.com/huggingface/datasets/pull/1720 | 783,721,833 | MDExOlB1bGxSZXF1ZXN0NTUzMDM0MzYx | 1,720 | Adding the NorNE dataset for NER | {
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https://api.github.com/repos/huggingface/datasets/issues/1719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1719/comments | https://api.github.com/repos/huggingface/datasets/issues/1719/events | https://github.com/huggingface/datasets/pull/1719 | 783,557,542 | MDExOlB1bGxSZXF1ZXN0NTUyODk3MzY4 | 1,719 | Fix column list comparison in transmit format | {
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This is because of an issue in `transmit_format` where the column list comparison fails because the order was not deterministic. This causes the `transmit_format` to apply an unnecessary `set_format` transform with shuffled col... | {
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I am using the datasets package and even though I run the same data processing functions, datasets always recomputes the function instead of using cache.
I have attached an example script that for me reproduces the problem.
In the attached example the second map function always recomputes instead of loading fr... | {
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https://api.github.com/repos/huggingface/datasets/issues/1717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1717/comments | https://api.github.com/repos/huggingface/datasets/issues/1717/events | https://github.com/huggingface/datasets/issues/1717 | 783,074,255 | MDU6SXNzdWU3ODMwNzQyNTU= | 1,717 | SciFact dataset - minor changes | {
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SciFact dataset creator here. First of all, thanks for adding the dataset to Huggingface, much appreciated!
I'd like to make a few minor changes, including the citation information and the `_URL` from which to download the dataset. Can I submit a PR for this?
It also looks like the dataset is being downloa... | {
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https://api.github.com/repos/huggingface/datasets/issues/1716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1716/comments | https://api.github.com/repos/huggingface/datasets/issues/1716/events | https://github.com/huggingface/datasets/pull/1716 | 782,819,006 | MDExOlB1bGxSZXF1ZXN0NTUyMjgzNzE5 | 1,716 | Add Hatexplain Dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1715/comments | https://api.github.com/repos/huggingface/datasets/issues/1715/events | https://github.com/huggingface/datasets/pull/1715 | 782,754,441 | MDExOlB1bGxSZXF1ZXN0NTUyMjM2NDA5 | 1,715 | add Korean intonation-aided intention identification dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1714/comments | https://api.github.com/repos/huggingface/datasets/issues/1714/events | https://github.com/huggingface/datasets/pull/1714 | 782,416,276 | MDExOlB1bGxSZXF1ZXN0NTUxOTc3MDA0 | 1,714 | Adding adversarialQA dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1713 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1713/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1713/comments | https://api.github.com/repos/huggingface/datasets/issues/1713/events | https://github.com/huggingface/datasets/issues/1713 | 782,337,723 | MDU6SXNzdWU3ODIzMzc3MjM= | 1,713 | Installation using conda | {
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https://api.github.com/repos/huggingface/datasets/issues/1712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1712/comments | https://api.github.com/repos/huggingface/datasets/issues/1712/events | https://github.com/huggingface/datasets/pull/1712 | 782,313,097 | MDExOlB1bGxSZXF1ZXN0NTUxODkxMDk4 | 1,712 | Silicone | {
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I fixed this and added tests | {
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I fail to download C4 and see a stacktrace originating in `IsADirectoryError` as an explanation for failure.
How can the problem be fixed?
**VERBOSE**:
I use Python version 3.7 and have the following dependencies listed in my project:
```
datasets==1.2.0
apache-beam==2.26.0
```
When runn... | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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Code is available here for the moment: https://github.com/madlag/datasets... | {
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The code used is:
```python
import datasets
datasets.load_dataset("openwebtext")
```
> Traceback (most recent call last): ... | {
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Missing improvements from @lhoestq's #1703. | {
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- Enable/disable caching
If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.
It is equivalent to setting `load_from_cache` to `False` in dataset transforms.
```python
from datasets import set_caching_enabled
set_cach... | {
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```
c4
lm1b
reclor
wikihow
```
And some does not have a dummy_data.zip :
```
kor_nli
math_dataset
mlqa
ms_marco
newsgroup
qa4mre
qanga... | {
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There are some entries in the data fields section yet to be filled. There is little information regarding those fields. | {
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1. I'm changing the download URL from Google Drive to the dataset's GitHub release package. This is now possible because of PR #1316.
2. I've updated the dataset card.
Cheers! 😄 | {
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https://api.github.com/repos/huggingface/datasets/issues/1697 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1697/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1697/comments | https://api.github.com/repos/huggingface/datasets/issues/1697/events | https://github.com/huggingface/datasets/pull/1697 | 781,126,579 | MDExOlB1bGxSZXF1ZXN0NTUwOTAzNzI5 | 1,697 | Update DialogRE DatasetCard | {
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https://api.github.com/repos/huggingface/datasets/issues/1696 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1696/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1696/comments | https://api.github.com/repos/huggingface/datasets/issues/1696/events | https://github.com/huggingface/datasets/issues/1696 | 781,096,918 | MDU6SXNzdWU3ODEwOTY5MTg= | 1,696 | Unable to install datasets | {
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I believe there's a bug with the package when you're installing it with Python 3.9. I recommend sticking with previous versions. Thanks, @thomwolf for the insight!
**Short description**
I followed the instructions for installing datasets (https://huggingface.co/docs/datasets/installation.html). Howev... | {
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https://api.github.com/repos/huggingface/datasets/issues/1694 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1694/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1694/comments | https://api.github.com/repos/huggingface/datasets/issues/1694/events | https://github.com/huggingface/datasets/pull/1694 | 780,429,080 | MDExOlB1bGxSZXF1ZXN0NTUwMzI0Mjcx | 1,694 | Add OSCAR | {
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The files have been moved to S3 and only the unshuffled version is available.
Both original and deduplicated versions of each language are available.
Example of usage:
```python
from datasets import load_dataset
oscar_dedup_en = load_dataset("oscar", "unshuffled_deduplicated_en", split="... | {
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https://api.github.com/repos/huggingface/datasets/issues/1693 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1693/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1693/comments | https://api.github.com/repos/huggingface/datasets/issues/1693/events | https://github.com/huggingface/datasets/pull/1693 | 780,268,595 | MDExOlB1bGxSZXF1ZXN0NTUwMTc3MDEx | 1,693 | Fix reuters metadata parsing errors | {
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To make a fast start up for `datasets` I changed that so that they are not imported when `datasets` is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1689 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1689/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1689/comments | https://api.github.com/repos/huggingface/datasets/issues/1689/events | https://github.com/huggingface/datasets/pull/1689 | 779,107,313 | MDExOlB1bGxSZXF1ZXN0NTQ5MTEwMDgw | 1,689 | Fix ade_corpus_v2 config names | {
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- Ade_corpos_v2_classificaion -> Ade_corpus_v2_classification
- Ade_corpos_v2_drug_ade_relation -> Ade_corpus_v2_drug_ade_relation
- Ade_corpos_v2_drug_dosage_relation -> Ade_corpus_v2_drug_dosage_relation | {
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Fix #1686 | {
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For instance:
```
>>> ds = datasets.load_dataset("conll2002", "es")
>>> ds.info
Traceback (most rece... | {
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```python
>>> import datasets
[...]
>>> dataset = datasets.load_dataset("dane")
[...]
>>> dataset["test"][-1]
{'dep_ids': [], 'dep_labels': ... | {
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- Update "Data Splits" to be more precise that no information is provided for now.
- old: [More Information Needed]
- new: No information about data spl... | {
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Adds the following dataset:
https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus
Who can review?
@lhoestq | {
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steps to reproduce:
```
from datasets import load_dataset
from elasticsearch import Elasticsearch
import torch
from transformers import file_utils, set_seed
from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast
MAX_SEQ_LENGTH = 256
ctx_encoder = DPRCon... | {
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Therefore we needed to use something else.
A good alternative is `openpyxl` which has also an integration with pandas si we can still call `pd.read_excel`.
I left the unused import of `openpyxl` in the dataset scripts to show users that ... | {
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```python
>>> import datasets
>>> datasets.__version__
'1.1.3'
>>> "dane" in datasets.list_datasets()
True
```
As we can see it should be present, but doesn't seem to be findable when using `load_dataset`.
```python
>>> datasets.load... | {
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- **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data)
- **Point of Contact:** Fatih Barmanbay - @fthbrmnby | {
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```
from datasets import load_dataset
dataset = load_dataset("cc100")
```
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/cc100/cc100.py
During handling of the above exception, another exception occur... | {
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Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC ... | {
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I think this is an important datasets to be added since it is the only one related to dialogue act classification.
Hope the pull request is ok. Wasn't able to see any special formatting for the pull request form.
The Swi... | {
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Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python dataset... | {
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- **Name:** The Pile
- **Description:** The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together. See [here](https://twitter.com/nabla_theta/status/1345130408170541056?s=20) for the Twitter announcement
- **Paper:*... | {
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I'm trying to import the `dutch_social` dataset described [here](https://huggingface.co/datasets/dutch_social).
However, the code that should load the data doesn't seem to be working, in particular because the corresponding files can't be found at the provided links.
```
(base) Koens-MacBook-Pro:~ koe... | {
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Transformers: 3.3.1
Datasets: 1.0.2
Windows 10 (also tested in WSL)
```
datasets.logging.set_verbosity_debug()
datasets.
train_dataset = load_dataset('squad', split='train')
valid_dataset = load_dataset('squad', split='validat... | {
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I am getting this connection issue, resulting in large failure on cloud, @lhoestq I appreciate your help on this.
If I want to keep the codes the same, so not using save_to_disk, load_from_disk, but save the datastes in the way load_dataset reads from and copy the files in the same folder the datasets library r... | {
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I won't repeat the concerns around multipro... | {
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I won't repeat the concerns around multipro... | {
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https://api.github.com/repos/huggingface/datasets/issues/1668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1668/comments | https://api.github.com/repos/huggingface/datasets/issues/1668/events | https://github.com/huggingface/datasets/pull/1668 | 776,552,854 | MDExOlB1bGxSZXF1ZXN0NTQ3MDIxODI0 | 1,668 | xed_en_fi dataset Cleanup | {
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```
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-37-ee559b166e25> in <module>()
----> 1 ner_metric = load_metric('seqeval')
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The current code only supports using a string type to save and load a faiss index. This change makes it possible to use a string type OR a Path from [pathlib](https://docs.python.org/3/library/pathlib.html). The codes bec... | {
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