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https://api.github.com/repos/huggingface/datasets/issues/1780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1780/comments | https://api.github.com/repos/huggingface/datasets/issues/1780/events | https://github.com/huggingface/datasets/pull/1780 | 793,882,132 | MDExOlB1bGxSZXF1ZXN0NTYxNDkxNTgy | 1,780 | Update SciFact URL | {
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"merged_at": "2021-01-28T10:19... | Hi,
I'm following up this [issue](https://github.com/huggingface/datasets/issues/1717). I'm the SciFact dataset creator, and I'm trying to update the SciFact data url in your repo. Thanks again for adding the dataset!
Basically, I'd just like to change the `_URL` to `"https://scifact.s3-us-west-2.amazonaws.com/re... | {
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This is because we were not ignoring the line number definition f... | {
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https://api.github.com/repos/huggingface/datasets/issues/1778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1778/comments | https://api.github.com/repos/huggingface/datasets/issues/1778/events | https://github.com/huggingface/datasets/pull/1778 | 793,474,507 | MDExOlB1bGxSZXF1ZXN0NTYxMTU2Mzk1 | 1,778 | Narrative QA Manual | {
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"merged_at": "2021-01-29T09:34... | Submitting the manual version of Narrative QA script which requires a manual download from the original repository | {
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https://api.github.com/repos/huggingface/datasets/issues/1777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1777/comments | https://api.github.com/repos/huggingface/datasets/issues/1777/events | https://github.com/huggingface/datasets/issues/1777 | 793,273,770 | MDU6SXNzdWU3OTMyNzM3NzA= | 1,777 | GPT2 MNLI training using run_glue.py | {
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Running this on Google Colab,
```
!python run_glue.py \
--model_name_or_path gpt2 \
--task_name mnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_gpu_train_batch_size 10 \
--gradient_accu... | {
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https://api.github.com/repos/huggingface/datasets/issues/1776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1776/comments | https://api.github.com/repos/huggingface/datasets/issues/1776/events | https://github.com/huggingface/datasets/issues/1776 | 792,755,249 | MDU6SXNzdWU3OTI3NTUyNDk= | 1,776 | [Question & Bug Report] Can we preprocess a dataset on the fly? | {
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BTW, I tried raising `writer_batch_si... | {
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https://api.github.com/repos/huggingface/datasets/issues/1775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1775/comments | https://api.github.com/repos/huggingface/datasets/issues/1775/events | https://github.com/huggingface/datasets/issues/1775 | 792,742,120 | MDU6SXNzdWU3OTI3NDIxMjA= | 1,775 | Efficient ways to iterate the dataset | {
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If I iterate over the dataset and then select the subset of features one by one, the resulted memory usage will be huge. Any ways to solve this?
Thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/1774 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1774/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1774/comments | https://api.github.com/repos/huggingface/datasets/issues/1774/events | https://github.com/huggingface/datasets/issues/1774 | 792,730,559 | MDU6SXNzdWU3OTI3MzA1NTk= | 1,774 | is it possible to make slice to be more compatible like python list and numpy? | {
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see below error:
```
AssertionError: Requested slice [:10000000000000000] incompatible with 20 examples.
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1773/comments | https://api.github.com/repos/huggingface/datasets/issues/1773/events | https://github.com/huggingface/datasets/issues/1773 | 792,708,160 | MDU6SXNzdWU3OTI3MDgxNjA= | 1,773 | bug in loading datasets | {
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I need to load a dataset, I use these commands:
```
from datasets import load_dataset
dataset = load_dataset('csv', data_files={'train': 'sick/train.csv',
'test': 'sick/test.csv',
'validation': 'sick/validation.csv'})
prin... | {
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https://api.github.com/repos/huggingface/datasets/issues/1772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1772/comments | https://api.github.com/repos/huggingface/datasets/issues/1772/events | https://github.com/huggingface/datasets/issues/1772 | 792,703,797 | MDU6SXNzdWU3OTI3MDM3OTc= | 1,772 | Adding SICK dataset | {
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It would be great to include SICK dataset.
## Adding a Dataset
- **Name:** SICK
- **Description:** a well known entailment dataset
- **Paper:** http://marcobaroni.org/composes/sick.html
- **Data:** http://marcobaroni.org/composes/sick.html
- **Motivation:** this is an important NLI benchmark
Instruction... | {
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https://api.github.com/repos/huggingface/datasets/issues/1771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1771/comments | https://api.github.com/repos/huggingface/datasets/issues/1771/events | https://github.com/huggingface/datasets/issues/1771 | 792,701,276 | MDU6SXNzdWU3OTI3MDEyNzY= | 1,771 | Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py | {
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When I load_dataset from local csv files, below error happened, looks raw.githubusercontent.com was blocked by the chinese government. But why it need to download csv.py? should it include when pip install the dataset?
```
Traceback (most recent call last):
File "/home/tom/pyenv/pystory/lib/python3.6/site-p... | {
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https://api.github.com/repos/huggingface/datasets/issues/1770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1770/comments | https://api.github.com/repos/huggingface/datasets/issues/1770/events | https://github.com/huggingface/datasets/issues/1770 | 792,698,148 | MDU6SXNzdWU3OTI2OTgxNDg= | 1,770 | how can I combine 2 dataset with different/same features? | {
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ds1: {'text'}, ds2: {'text'}, combine ds:{'src', 'tgt'}
or different feature:
ds1: {'src'}, ds2: {'tgt'}, combine ds:{'src', 'tgt'} | {
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https://api.github.com/repos/huggingface/datasets/issues/1769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1769/comments | https://api.github.com/repos/huggingface/datasets/issues/1769/events | https://github.com/huggingface/datasets/issues/1769 | 792,523,284 | MDU6SXNzdWU3OTI1MjMyODQ= | 1,769 | _pickle.PicklingError: Can't pickle typing.Union[str, NoneType]: it's not the same object as typing.Union when calling datasets.map with num_proc=2 | {
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The script I use is https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm.py
Script args:
```
--model_name_or_path
../../../model/chine... | {
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https://api.github.com/repos/huggingface/datasets/issues/1768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1768/comments | https://api.github.com/repos/huggingface/datasets/issues/1768/events | https://github.com/huggingface/datasets/pull/1768 | 792,150,745 | MDExOlB1bGxSZXF1ZXN0NTYwMDgyNzIx | 1,768 | Mention kwargs in the Dataset Formatting docs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/1768",
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"merged_at": "2021-01-25T09:14... | Hi,
This was discussed in Issue #1762 where the docs didn't mention that keyword arguments to `datasets.Dataset.set_format()` are allowed.
To prevent people from having to check the code/method docs, I just added a couple of lines in the docs.
Please let me know your thoughts on this.
Thanks,
Gunjan
@lho... | {
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https://api.github.com/repos/huggingface/datasets/issues/1767 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1767/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1767/comments | https://api.github.com/repos/huggingface/datasets/issues/1767/events | https://github.com/huggingface/datasets/pull/1767 | 792,068,497 | MDExOlB1bGxSZXF1ZXN0NTYwMDE2MzE2 | 1,767 | Add Librispeech ASR | {
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"merged_at": "2021-01-25T20:37... | This PR adds the librispeech asr dataset: https://www.tensorflow.org/datasets/catalog/librispeech
There are 2 configs: "clean" and "other" whereas there are two "train" datasets for "clean", hence the name "train.100" and "train.360".
As suggested by @lhoestq, due to the enormous size of the dataset in `.arrow` f... | {
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https://api.github.com/repos/huggingface/datasets/issues/1766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1766/comments | https://api.github.com/repos/huggingface/datasets/issues/1766/events | https://github.com/huggingface/datasets/issues/1766 | 792,044,105 | MDU6SXNzdWU3OTIwNDQxMDU= | 1,766 | Issues when run two programs compute the same metrics | {
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"followers_url": "https://api.github.com/users/lamthuy/... | [] | closed | false | null | [] | null | 2 | 2021-01-22T14:22:55 | 2021-02-02T10:38:06 | 2021-02-02T10:38:06 | NONE | null | null | null | I got the following error when running two different programs that both compute sacreblue metrics. It seems that both read/and/write to the same location (.cache/huggingface/metrics/sacrebleu/default/default_experiment-1-0.arrow) where it caches the batches:
```
File "train_matching_min.py", line 160, in <module>ch... | {
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https://api.github.com/repos/huggingface/datasets/issues/1765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1765/comments | https://api.github.com/repos/huggingface/datasets/issues/1765/events | https://github.com/huggingface/datasets/issues/1765 | 791,553,065 | MDU6SXNzdWU3OTE1NTMwNjU= | 1,765 | Error iterating over Dataset with DataLoader | {
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"followers_url": "https://api.github.com/users/EvanZ/follower... | [] | closed | false | null | [] | null | 5 | 2021-01-21T22:56:45 | 2021-12-07T12:22:33 | 2021-01-23T03:44:14 | NONE | null | null | null | I have a Dataset that I've mapped a tokenizer over:
```
encoded_dataset.set_format(type='torch',columns=['attention_mask','input_ids','token_type_ids'])
encoded_dataset[:1]
```
```
{'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]),
'input_ids': tensor([[ 101, 178, 1198, 1400, 1714, 22233, 2... | {
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https://api.github.com/repos/huggingface/datasets/issues/1764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1764/comments | https://api.github.com/repos/huggingface/datasets/issues/1764/events | https://github.com/huggingface/datasets/issues/1764 | 791,486,860 | MDU6SXNzdWU3OTE0ODY4NjA= | 1,764 | Connection Issues | {
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```
Traceback (most recent call last):
File "src/train.py", line 180, in <module>
train_dataset, dev_dataset, test_dataset = create_race_dataset()
File "src/train.py", line 130, in create_race_dataset
train_dataset = load_da... | {
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https://api.github.com/repos/huggingface/datasets/issues/1763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1763/comments | https://api.github.com/repos/huggingface/datasets/issues/1763/events | https://github.com/huggingface/datasets/pull/1763 | 791,389,763 | MDExOlB1bGxSZXF1ZXN0NTU5NDU3MTY1 | 1,763 | PAWS-X: Fix csv Dictreader splitting data on quotes | {
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"merged_at": "2021-01-22T10:13... |
```python
from datasets import load_dataset
# load english paws-x dataset
datasets = load_dataset('paws-x', 'en')
print(len(datasets['train'])) # outputs 49202 but official dataset has 49401 pairs
print(datasets['train'].unique('label')) # outputs [1, 0, -1] but labels are binary [0,1]
... | {
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https://api.github.com/repos/huggingface/datasets/issues/1762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1762/comments | https://api.github.com/repos/huggingface/datasets/issues/1762/events | https://github.com/huggingface/datasets/issues/1762 | 791,226,007 | MDU6SXNzdWU3OTEyMjYwMDc= | 1,762 | Unable to format dataset to CUDA Tensors | {
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I came across this [link](https://huggingface.co/docs/datasets/torch_tensorflow.html) where the docs show show to convert a dataset to a particular format. I see that there is an option to convert it to tensors, but I don't see any option to convert it to CUDA tensors.
I tried this, but Dataset doesn't suppor... | {
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https://api.github.com/repos/huggingface/datasets/issues/1761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1761/comments | https://api.github.com/repos/huggingface/datasets/issues/1761/events | https://github.com/huggingface/datasets/pull/1761 | 791,150,858 | MDExOlB1bGxSZXF1ZXN0NTU5MjUyMzEw | 1,761 | Add SILICONE benchmark | {
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"merged_at": "2021-01-26T13:50... | My collaborators and I within the Affective Computing team at Telecom Paris would like to re-submit our spoken dialogue dataset for publication.
This is a new pull request relative to the [previously closed request](https://github.com/huggingface/datasets/pull/1712) which was reviewed by @lhoestq.
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https://api.github.com/repos/huggingface/datasets/issues/1760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1760/comments | https://api.github.com/repos/huggingface/datasets/issues/1760/events | https://github.com/huggingface/datasets/pull/1760 | 791,110,857 | MDExOlB1bGxSZXF1ZXN0NTU5MjE3MjY0 | 1,760 | More tags | {
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"merged_at": "2021-01-22T09:40... | Since the hub v2 is going to be released soon I figured it would be great to add the missing tags at least for some of the datasets of reference listed [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#write-the-loadingprocessing-code) | {
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https://api.github.com/repos/huggingface/datasets/issues/1759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1759/comments | https://api.github.com/repos/huggingface/datasets/issues/1759/events | https://github.com/huggingface/datasets/issues/1759 | 790,992,226 | MDU6SXNzdWU3OTA5OTIyMjY= | 1,759 | wikipedia dataset incomplete | {
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I am using the https://github.com/huggingface/datasets/tree/master/datasets/wikipedia dataset.
Unfortunately, I found out that there is an incompleteness for the German dataset.
For reasons unknown to me, the number of inhabitants has been removed from many pages:
Thorey-sur-Ouche has 128 inhabitants a... | {
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https://api.github.com/repos/huggingface/datasets/issues/1758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1758/comments | https://api.github.com/repos/huggingface/datasets/issues/1758/events | https://github.com/huggingface/datasets/issues/1758 | 790,626,116 | MDU6SXNzdWU3OTA2MjYxMTY= | 1,758 | dataset.search() (elastic) cannot reliably retrieve search results | {
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The problem I have is that I cannot retrieve reliable results with my data on my first search. I have to run the search **twice** to get the right answer.
I am indexing data t... | {
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https://api.github.com/repos/huggingface/datasets/issues/1757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1757/comments | https://api.github.com/repos/huggingface/datasets/issues/1757/events | https://github.com/huggingface/datasets/issues/1757 | 790,466,509 | MDU6SXNzdWU3OTA0NjY1MDk= | 1,757 | FewRel | {
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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 | null | 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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- **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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"merged_at": "2021-01-25T09:12... | As noticed by @JetRunner there was some issues when trying to generate a dataset using a custom config that is based on an existing config.
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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"merged_at": "2021-01-20T14:39... | I realized COMET citations were not showing in the hugging face metrics page:
<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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https://api.github.com/repos/huggingface/datasets/issues/1752 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1752/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1752/comments | https://api.github.com/repos/huggingface/datasets/issues/1752/events | https://github.com/huggingface/datasets/pull/1752 | 789,822,459 | MDExOlB1bGxSZXF1ZXN0NTU4MTA5NTA5 | 1,752 | COMET metric citation | {
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} | In my last pull request to add COMET metric, the citations where not following the usual "format". Because of that they where not correctly displayed on the website:
<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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"merged_at": "2021-01-19T09:48... | When I read the README.md of `CNN/DailyMail Dataset`, there seems to be a typo `CCN`.
I am afraid this is a trivial matter, but I would like to make a suggestion for revision. | {
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https://api.github.com/repos/huggingface/datasets/issues/1749 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1749/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1749/comments | https://api.github.com/repos/huggingface/datasets/issues/1749/events | https://github.com/huggingface/datasets/pull/1749 | 788,476,639 | MDExOlB1bGxSZXF1ZXN0NTU2OTgxMDc5 | 1,749 | Added metadata and correct splits for swda. | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1747 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1747/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1747/comments | https://api.github.com/repos/huggingface/datasets/issues/1747/events | https://github.com/huggingface/datasets/issues/1747 | 788,299,775 | MDU6SXNzdWU3ODgyOTk3NzU= | 1,747 | datasets slicing with seed | {
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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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"merged_at": "2021-01-18T11:31... | The current workflow yaml file is not valid according to https://github.com/huggingface/datasets/actions/runs/487638110 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1743 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1743/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1743/comments | https://api.github.com/repos/huggingface/datasets/issues/1743/events | https://github.com/huggingface/datasets/issues/1743 | 787,631,412 | MDU6SXNzdWU3ODc2MzE0MTI= | 1,743 | Issue while Creating Custom Metric | {
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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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} | Link to our discussion on Slack (HF internal)
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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- adds additional fields for v3.0_ru
- adds info to the WebNLG data card | {
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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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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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"merged_at": "2021-01-19T16:42... | As discussed in #824 it would be cool to make the library work in offline mode.
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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"merged_at": "2021-01-26T17:02... | # What does this PR do?
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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"merged_at": "2021-01-12T11:41... | Datasets were uploading to https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/arxiv-dataset.zip and https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/pubmed-dataset.zip respectively to escape google drive quota and enable faster download. | {
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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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} | NorNE is a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official standards of written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of entity types including persons, or... | {
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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/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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} | My collaborators and I within the Affective Computing team at Telecom Paris would like to push our spoken dialogue dataset for publication. | {
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https://api.github.com/repos/huggingface/datasets/issues/1711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1711/comments | https://api.github.com/repos/huggingface/datasets/issues/1711/events | https://github.com/huggingface/datasets/pull/1711 | 782,129,083 | MDExOlB1bGxSZXF1ZXN0NTUxNzQxODA2 | 1,711 | Fix windows path scheme in cached path | {
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I fixed this and added tests | {
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https://api.github.com/repos/huggingface/datasets/issues/1710 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1710/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1710/comments | https://api.github.com/repos/huggingface/datasets/issues/1710/events | https://github.com/huggingface/datasets/issues/1710 | 781,914,951 | MDU6SXNzdWU3ODE5MTQ5NTE= | 1,710 | IsADirectoryError when trying to download C4 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1706 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1706/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1706/comments | https://api.github.com/repos/huggingface/datasets/issues/1706/events | https://github.com/huggingface/datasets/issues/1706 | 781,494,476 | MDU6SXNzdWU3ODE0OTQ0NzY= | 1,706 | Error when downloading a large dataset on slow connection. | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1701 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1701/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1701/comments | https://api.github.com/repos/huggingface/datasets/issues/1701/events | https://github.com/huggingface/datasets/issues/1701 | 781,345,717 | MDU6SXNzdWU3ODEzNDU3MTc= | 1,701 | Some datasets miss dataset_infos.json or dummy_data.zip | {
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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/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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"merged_at": "2021-01-25T09:10... | Continuation of #348
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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"merged_at": "2021-01-07T10:06... | Awesome work on 🤗 Datasets. I found a couple of small typos in the README. Hope this helps.
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https://api.github.com/repos/huggingface/datasets/issues/1690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1690/comments | https://api.github.com/repos/huggingface/datasets/issues/1690/events | https://github.com/huggingface/datasets/pull/1690 | 779,441,631 | MDExOlB1bGxSZXF1ZXN0NTQ5NDEwOTgw | 1,690 | Fast start up | {
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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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"merged_at": "2021-01-05T14:55... | There are currently some typos in the config names of the `ade_corpus_v2` dataset, I fixed them:
- 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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https://api.github.com/repos/huggingface/datasets/issues/1688 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1688/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1688/comments | https://api.github.com/repos/huggingface/datasets/issues/1688/events | https://github.com/huggingface/datasets/pull/1688 | 779,029,685 | MDExOlB1bGxSZXF1ZXN0NTQ5MDM5ODg0 | 1,688 | Fix DaNE last example | {
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"merged_at": "2021-01-05T14:00... | The last example from the DaNE dataset is empty.
Fix #1686 | {
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https://api.github.com/repos/huggingface/datasets/issues/1687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1687/comments | https://api.github.com/repos/huggingface/datasets/issues/1687/events | https://github.com/huggingface/datasets/issues/1687 | 779,004,894 | MDU6SXNzdWU3NzkwMDQ4OTQ= | 1,687 | Question: Shouldn't .info be a part of DatasetDict? | {
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For instance:
```
>>> ds = datasets.load_dataset("conll2002", "es")
>>> ds.info
Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/1686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1686/comments | https://api.github.com/repos/huggingface/datasets/issues/1686/events | https://github.com/huggingface/datasets/issues/1686 | 778,921,684 | MDU6SXNzdWU3Nzg5MjE2ODQ= | 1,686 | Dataset Error: DaNE contains empty samples at the end | {
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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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"merged_at": "2021-01-25T09:09... | What does this PR do?
Adds the following dataset:
https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus
Who can review?
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1683/comments | https://api.github.com/repos/huggingface/datasets/issues/1683/events | https://github.com/huggingface/datasets/issues/1683 | 778,287,612 | MDU6SXNzdWU3NzgyODc2MTI= | 1,683 | `ArrowInvalid` occurs while running `Dataset.map()` function for DPRContext | {
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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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https://api.github.com/repos/huggingface/datasets/issues/1682 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1682/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1682/comments | https://api.github.com/repos/huggingface/datasets/issues/1682/events | https://github.com/huggingface/datasets/pull/1682 | 778,268,156 | MDExOlB1bGxSZXF1ZXN0NTQ4Mzg1NTk1 | 1,682 | Don't use xlrd for xlsx files | {
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"merged_at": "2021-01-04T18:13... | Since the latest release of `xlrd` (2.0), the support for xlsx files stopped.
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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https://api.github.com/repos/huggingface/datasets/issues/1681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1681/comments | https://api.github.com/repos/huggingface/datasets/issues/1681/events | https://github.com/huggingface/datasets/issues/1681 | 777,644,163 | MDU6SXNzdWU3Nzc2NDQxNjM= | 1,681 | Dataset "dane" missing | {
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"followers_url": "https... | [] | closed | false | null | [] | null | 3 | 2021-01-03T14:03:03 | 2021-01-05T08:35:35 | 2021-01-05T08:35:13 | CONTRIBUTOR | null | null | null | the `dane` dataset appear to be missing in the latest version (1.1.3).
```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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https://api.github.com/repos/huggingface/datasets/issues/1680 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1680/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1680/comments | https://api.github.com/repos/huggingface/datasets/issues/1680/events | https://github.com/huggingface/datasets/pull/1680 | 777,623,053 | MDExOlB1bGxSZXF1ZXN0NTQ3ODY4MjEw | 1,680 | added TurkishProductReviews dataset | {
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"merged_at": "2021-01-04T18:15... | This PR added **Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews**.
- **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data)
- **Point of Contact:** Fatih Barmanbay - @fthbrmnby | {
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