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https://api.github.com/repos/huggingface/datasets/issues/492 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/492/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/492/comments | https://api.github.com/repos/huggingface/datasets/issues/492/events | https://github.com/huggingface/datasets/issues/492 | 676,495,064 | MDU6SXNzdWU2NzY0OTUwNjQ= | 492 | nlp.Features does not distinguish between nullable and non-nullable types in PyArrow schema | {
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```python
dset_wikipedia = nlp.load_dataset("wikipedia", "20200501.en", split="train", cache_dir=args.cache_dir)
dset_wikipedia.drop(columns=["title"])
dset_wikipedia.features.pop("title")
dset_books = nlp.load_dataset("bookcorpus", split="train", cache_dir=args.cache_dir)
dse... | {
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`nlp.load_dataset("wikipedia", "20200501.en", split="train", dir="/tmp/wikipedia")`
gives an error if apache_beam is not installed, stemming from
https://github.com/huggingface/nlp/blob/38eb2413de54ee804b0be81781bd65ac4a748ced/src/nlp/builder.py#L981-L988
This succeeded without the dependency in ve... | {
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https://api.github.com/repos/huggingface/datasets/issues/488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/488/comments | https://api.github.com/repos/huggingface/datasets/issues/488/events | https://github.com/huggingface/datasets/issues/488 | 676,299,993 | MDU6SXNzdWU2NzYyOTk5OTM= | 488 | issues with downloading datasets for wmt16 and wmt19 | {
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```
import nlp
dataset = nlp.load_dataset('wmt16', 'ru-en')
metric = nlp.load_metric('wmt16')
```
1. I had to do `pip install -e ".[dev]" ` on master, currently released nlp didn't work (sorry, didn't save the error) - I went back to the released version and no... | {
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} | It seem that the bookcoprus data downloaded through the library was pretokenized with NLTK's Treebank tokenizer, which changes the text in incompatible ways to how, for instance, BERT's wordpiece tokenizer works. For example, "didn't" becomes "did" + "n't", and double quotes are changed to `` and '' for start and end q... | {
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import nlp
dataset = nlp.load_dataset('xtreme', 'PAWS-X.en')
dataset['test'][0]
```
prints the following
```
{'label': 'label', 'sentence1': 'sentence1', 'sentence2': 'sentence2'}
```
dataset['test'][0] should probably be the first item in the dataset, not just a dictionary mapping the column names t... | {
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} | In an interesting twist of events, the individual who created the movie review seems to have left Cornell, and their webpage has been removed, along with the movie review dataset (http://www.cs.cornell.edu/people/pabo/movie-review-data/rt-polaritydata.tar.gz). It's not downloadable anymore. | {
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https://api.github.com/repos/huggingface/datasets/issues/482 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/482/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/482/comments | https://api.github.com/repos/huggingface/datasets/issues/482/events | https://github.com/huggingface/datasets/issues/482 | 674,851,147 | MDU6SXNzdWU2NzQ4NTExNDc= | 482 | Bugs : dataset.map() is frozen on ELI5 | {
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} | Hi Huggingface Team!
Thank you guys once again for this amazing repo.
I have tried to prepare ELI5 to train with T5, based on [this wonderful notebook of Suraj Patil](https://github.com/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb)
However, when I run `dataset.map()` on ELI5 to prepare `input_text, ta... | {
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https://api.github.com/repos/huggingface/datasets/issues/481 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/481/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/481/comments | https://api.github.com/repos/huggingface/datasets/issues/481/events | https://github.com/huggingface/datasets/pull/481 | 674,567,389 | MDExOlB1bGxSZXF1ZXN0NDY0MjM2MTA1 | 481 | Apply utf-8 encoding to all datasets | {
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This PR applies utf-8 encoding for all instances of `with open(...) as f` to all Python files in `datasets/`. As suggested by @thomwolf in #468 , we use regular expressions and the following function
```python
def apply_encoding_on_file_open(filepath: str):
"""Apply UTF-8 encoding for all insta... | {
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https://api.github.com/repos/huggingface/datasets/issues/480 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/480/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/480/comments | https://api.github.com/repos/huggingface/datasets/issues/480/events | https://github.com/huggingface/datasets/pull/480 | 674,245,959 | MDExOlB1bGxSZXF1ZXN0NDYzOTcwNjQ2 | 480 | Column indexing hotfix | {
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https://api.github.com/repos/huggingface/datasets/issues/479 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/479/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/479/comments | https://api.github.com/repos/huggingface/datasets/issues/479/events | https://github.com/huggingface/datasets/pull/479 | 673,905,407 | MDExOlB1bGxSZXF1ZXN0NDYzNjkxMjA0 | 479 | add METEOR metric | {
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```python
import nlp
meteor = nlp.load_metric('metrics/meteor')
meteor.compute(["some string", "some string"], ["some string", "some similar string"])
# {'meteor': 0.6411637931034483}
meteor.add("some string", "some string")
meteor.add('some string", "some simila... | {
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https://api.github.com/repos/huggingface/datasets/issues/478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/478/comments | https://api.github.com/repos/huggingface/datasets/issues/478/events | https://github.com/huggingface/datasets/issues/478 | 673,178,317 | MDU6SXNzdWU2NzMxNzgzMTc= | 478 | Export TFRecord to GCP bucket | {
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Since `0.4.0` is out with the `export()` function, I tried it. But it seems TFRecords cannot be directly written to GCP bucket.
`dataset.export('local.tfrecord')` works fine,
but `dataset.... | {
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} | with nlp 0.4.0, the TensorFlow example in Overview.ipynb throws the following exceptions:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-48907f2ad433> in <module>
----> 1 features = {x: trai... | {
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- Added checklists as datasets. I can't run `test_load_real_dataset` (see #474), but I can load the datasets successfully as shown in the example notebook
- Added a checklist wrapper | {
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1. Printing datasets without a description field throws an error when formatting the `single_line_description`. This fixes that, and also adds some formatting to t... | {
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I think the problem is that `test_load_real_dataset` calls `load_dataset` with `data_dir=temp_data_dir` ([here](https://github.com/huggingfa... | {
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Fix partially:
- #353
Subsequent PR after:
- #449 | {
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https://api.github.com/repos/huggingface/datasets/issues/470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/470/comments | https://api.github.com/repos/huggingface/datasets/issues/470/events | https://github.com/huggingface/datasets/pull/470 | 671,952,276 | MDExOlB1bGxSZXF1ZXN0NDYyMDc0MzQ0 | 470 | Adding IWSLT 2017 dataset. | {
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```
Bilingual data: {Arabic, German, French, Japanese, Korean, Chinese} <-> English
Multilingual data: German, English, Italian, Dutch, Romanian. (Any pair)
```
I'm unsure how to h... | {
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https://api.github.com/repos/huggingface/datasets/issues/469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/469/comments | https://api.github.com/repos/huggingface/datasets/issues/469/events | https://github.com/huggingface/datasets/issues/469 | 671,876,963 | MDU6SXNzdWU2NzE4NzY5NjM= | 469 | invalid data type 'str' at _convert_outputs in arrow_dataset.py | {
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I'm using Transformers NLP to load the data set, while calling trainer.train() method. It throws the following error
File "C:\***\arrow_dataset.py", line 343, in _convert_outputs
v = command(v)
TypeError: new(): invalid data type ... | {
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https://api.github.com/repos/huggingface/datasets/issues/468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/468/comments | https://api.github.com/repos/huggingface/datasets/issues/468/events | https://github.com/huggingface/datasets/issues/468 | 671,622,441 | MDU6SXNzdWU2NzE2MjI0NDE= | 468 | UnicodeDecodeError while loading PAN-X task of XTREME dataset | {
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## Description of the problem
I'm running into a `UnicodeDecodeError` while trying to load the PAN-X subset the XTREME dataset:
```
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
<ipython-inp... | {
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https://api.github.com/repos/huggingface/datasets/issues/467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/467/comments | https://api.github.com/repos/huggingface/datasets/issues/467/events | https://github.com/huggingface/datasets/pull/467 | 671,580,010 | MDExOlB1bGxSZXF1ZXN0NDYxNzgwMzUy | 467 | DOCS: Fix typo | {
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https://api.github.com/repos/huggingface/datasets/issues/466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/466/comments | https://api.github.com/repos/huggingface/datasets/issues/466/events | https://github.com/huggingface/datasets/pull/466 | 670,766,891 | MDExOlB1bGxSZXF1ZXN0NDYxMDEzOTM0 | 466 | [METRICS] Various improvements on metrics | {
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- Allow to directly feed numpy/pytorch/tensorflow/pandas objects in metrics | {
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https://api.github.com/repos/huggingface/datasets/issues/465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/465/comments | https://api.github.com/repos/huggingface/datasets/issues/465/events | https://github.com/huggingface/datasets/pull/465 | 669,889,779 | MDExOlB1bGxSZXF1ZXN0NDYwMjEwODYw | 465 | Keep features after transform | {
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It was the case for ClassLabel, Translation, etc.
To fix that, I did some modifications in the `ArrowWriter`:
- added the `update_features` parameter. When it's `True`, then the features specified by the user (if any... | {
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https://api.github.com/repos/huggingface/datasets/issues/464 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/464/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/464/comments | https://api.github.com/repos/huggingface/datasets/issues/464/events | https://github.com/huggingface/datasets/pull/464 | 669,767,381 | MDExOlB1bGxSZXF1ZXN0NDYwMTAxNDYz | 464 | Add rename, remove and cast in-place operations | {
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These methods are added to `Dataset` as well as `DatasetDict`.
Added tests for these new methods and add the methods to the doc.
Naming follows th... | {
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The load_real_data stills fails because it is looking for a default dataset URL that does not exists, this does not happen when loading the dataset with load_dataset | {
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Therefore the next time you called map, it was loading an incomplete arrow file.
We had the same issue with select if there was a bad indice at one point.
To fix that I used temporary files that are renamed once everything... | {
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- rename the `flatten`, `drop` and `dictionary_encode_column` methods in `flatten_`, `drop_` and `dictionary_encode_column_` to indicate that these methods have in-place effects as discussed in #166. From now on we s... | {
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Also changed the function call to use named rather than positional argum... | {
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Add tests to these for `Dataset` and `DatasetDict`.
Fix some bugs uncovered by the tests for `pandas` formating. | {
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The BLEURT `Metric` downloads a TF checkpoint corresponding to its `config_name` at creation (in the `_info` function). Default is set to `bleurt-base-128`.
Note that the default in the original package is `bleurt-tiny-128`, but they throw a warning and recommend usi... | {
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... | [] | closed | false | null | [] | null | 6 | 2020-07-29 02:23:57+00:00 | 2020-08-20 15:09:57+00:00 | 2020-08-20 15:07:56+00:00 | CONTRIBUTOR | null | null | null | null | A new dataset: Guardian news articles for authorship attribution
**tests passed:**
python nlp-cli dummy_data datasets/guardian_authorship --save_infos --all_configs
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_guardian_authorship
**Tests failed:**
Real data:... | {
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To fix that, I added a line that use the hash of the data files provided by the user to define the cache dir.
This should fix #444 | {
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#353 | {
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#353
The datasets is a lit of `.sgm` files which are a bit different from xml file indeed `xml.etree` couldn't be used to read files. I consider them as text file (to avoid using external library) and read ... | {
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Added a test to recognize import errors of all metrics | {
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#445 | {
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When loading the metric "sacrebleu" there is an import error due to the wrong path
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```
dataset = load_dataset('csv', data_file='./a.csv')
```
And after a while, I tried to load another csv called 'b.csv'
```
dataset = load_dataset('csv', data_file='./b.csv')
```
However, the new dataset seems to remain the old 'a.csv' and not loading new csv file.
Even... | {
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} | Saving a formatted torch dataset to file using `torch.save()`. Loading the same file fails during unpickling:
```python
>>> import torch
>>> import nlp
>>> squad = nlp.load_dataset("squad.py", split="train")
>>> squad
Dataset(features: {'source_text': Value(dtype='string', id=None), 'target_text': Value(dtype... | {
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https://api.github.com/repos/huggingface/datasets/issues/442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/442/comments | https://api.github.com/repos/huggingface/datasets/issues/442/events | https://github.com/huggingface/datasets/issues/442 | 666,201,810 | MDU6SXNzdWU2NjYyMDE4MTA= | 442 | [Suggestion] Glue Diagnostic Data with Labels | {
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] | open | false | null | [] | null | 0 | 2020-07-27 10:59:58+00:00 | 2020-08-24 15:13:20+00:00 | NaT | NONE | null | null | {
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} | Hello! First of all, thanks for setting up this useful project!
I've just realised you provide the the [Glue Diagnostics Data](https://huggingface.co/nlp/viewer/?dataset=glue&config=ax) without labels, indicating in the `GlueConfig` that you've only a test set.
Yet, the data with labels is available, too (see als... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/441/comments | https://api.github.com/repos/huggingface/datasets/issues/441/events | https://github.com/huggingface/datasets/pull/441 | 666,148,413 | MDExOlB1bGxSZXF1ZXN0NDU3MDQyMjY3 | 441 | Add features parameter in load dataset | {
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If they don't match the data type, it raises a `ValueError`.
It's a draft PR because #440 needs to be merged first. | {
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https://api.github.com/repos/huggingface/datasets/issues/440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/440/comments | https://api.github.com/repos/huggingface/datasets/issues/440/events | https://github.com/huggingface/datasets/pull/440 | 666,116,823 | MDExOlB1bGxSZXF1ZXN0NDU3MDE2MjQy | 440 | Fix user specified features in map | {
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The writer used to overwrite the user specified features with inferred features.
I also added tests to make sure it doesn't happen again. | {
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https://api.github.com/repos/huggingface/datasets/issues/439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/439/comments | https://api.github.com/repos/huggingface/datasets/issues/439/events | https://github.com/huggingface/datasets/issues/439 | 665,964,673 | MDU6SXNzdWU2NjU5NjQ2NzM= | 439 | Issues: Adding a FAISS or Elastic Search index to a Dataset | {
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} | It seems the DPRContextEncoder, DPRContextEncoderTokenizer cited[ in this documentation](https://huggingface.co/nlp/faiss_and_ea.html) is not implemented ? It didnot work with the standard nlp installation . Also, I couldn't find or use it with the latest nlp install from github in Colab. Is there any dependency on t... | {
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https://api.github.com/repos/huggingface/datasets/issues/438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/438/comments | https://api.github.com/repos/huggingface/datasets/issues/438/events | https://github.com/huggingface/datasets/issues/438 | 665,865,490 | MDU6SXNzdWU2NjU4NjU0OTA= | 438 | New Datasets: IWSLT15+, ITTB | {
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] | open | false | null | [] | null | 2 | 2020-07-26 21:43:04+00:00 | 2020-08-24 15:12:15+00:00 | NaT | CONTRIBUTOR | null | null | {
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} | **Links:**
[iwslt](https://pytorchnlp.readthedocs.io/en/latest/_modules/torchnlp/datasets/iwslt.html)
Don't know if that link is up to date.
[ittb](http://www.cfilt.iitb.ac.in/iitb_parallel/)
**Motivation**: replicate mbart finetuning results (table below)
![image](https://user-images.githubusercontent.com/60450... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/437/comments | https://api.github.com/repos/huggingface/datasets/issues/437/events | https://github.com/huggingface/datasets/pull/437 | 665,597,176 | MDExOlB1bGxSZXF1ZXN0NDU2NjIzNjc3 | 437 | Fix XTREME PAN-X loading | {
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In response to the discussion in #425 @lewtun and I made some fixes to the repo. In the original XTREME implementation the PAN-X dataset for named entity recognition loaded each word/tag pair as a single row and the sentence relation was lost. With the fix each row contains the list of all words in a single sen... | {
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https://api.github.com/repos/huggingface/datasets/issues/436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/436/comments | https://api.github.com/repos/huggingface/datasets/issues/436/events | https://github.com/huggingface/datasets/issues/436 | 665,582,167 | MDU6SXNzdWU2NjU1ODIxNjc= | 436 | Google Colab - load_dataset - PyArrow exception | {
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ImportWarning: To use `nlp`, the module `pyarrow>=0.16.0` is required, and the current version of `pyarrow` doesn't match this condition. If you are running this in a Google Colab, you should probably just rest... | {
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https://api.github.com/repos/huggingface/datasets/issues/435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/435/comments | https://api.github.com/repos/huggingface/datasets/issues/435/events | https://github.com/huggingface/datasets/issues/435 | 665,507,141 | MDU6SXNzdWU2NjU1MDcxNDE= | 435 | ImportWarning for pyarrow 1.0.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/433 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/433/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/433/comments | https://api.github.com/repos/huggingface/datasets/issues/433/events | https://github.com/huggingface/datasets/issues/433 | 665,311,025 | MDU6SXNzdWU2NjUzMTEwMjU= | 433 | How to reuse functionality of a (generic) dataset? | {
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} | I have written a generic dataset for corpora created with the Brat annotation tool ([specification](https://brat.nlplab.org/standoff.html), [dataset code](https://github.com/ArneBinder/nlp/blob/brat/datasets/brat/brat.py)). Now I wonder how to use that to create specific dataset instances. What's the recommended way to... | {
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https://api.github.com/repos/huggingface/datasets/issues/432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/432/comments | https://api.github.com/repos/huggingface/datasets/issues/432/events | https://github.com/huggingface/datasets/pull/432 | 665,234,340 | MDExOlB1bGxSZXF1ZXN0NDU2MzQxNDk3 | 432 | Fix handling of config files while loading datasets from multiple processes | {
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https://api.github.com/repos/huggingface/datasets/issues/431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/431/comments | https://api.github.com/repos/huggingface/datasets/issues/431/events | https://github.com/huggingface/datasets/pull/431 | 665,044,416 | MDExOlB1bGxSZXF1ZXN0NDU2MTgyNDE2 | 431 | Specify split post processing + Add post processing resources downloading | {
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```python
from nlp import load_dataset
wiki = load_dataset("wiki_dpr", "psgs_w100_with_nq_embeddings", split="train[:100]", with_index=True)
```
Then you'd get an error `Index size should match Dataset size...`
This was because it was trying to use the full index (21M elements).
... | {
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https://api.github.com/repos/huggingface/datasets/issues/430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/430/comments | https://api.github.com/repos/huggingface/datasets/issues/430/events | https://github.com/huggingface/datasets/pull/430 | 664,583,837 | MDExOlB1bGxSZXF1ZXN0NDU1ODAxOTI2 | 430 | add DatasetDict | {
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### Overview
When you call `load_dataset` it can return a dictionary of datasets if there are several splits (train/test for example).
If you wanted to apply dataset transforms you had to iterate over each split and apply the transform.
Instead of returning a dict, it now returns a `nlp.Dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/429 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/429/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/429/comments | https://api.github.com/repos/huggingface/datasets/issues/429/events | https://github.com/huggingface/datasets/pull/429 | 664,412,137 | MDExOlB1bGxSZXF1ZXN0NDU1NjU2MDk5 | 429 | mlsum | {
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The tests for the load_real_data fail, as there is no default language subset to download it looks for a file that does not exist. This bug does not happen when using the load_dataset function, as it asks you to specify a language if you do not, so I submit this PR anyway. The dataset is avalaible on : https... | {
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https://api.github.com/repos/huggingface/datasets/issues/428 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/428/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/428/comments | https://api.github.com/repos/huggingface/datasets/issues/428/events | https://github.com/huggingface/datasets/pull/428 | 664,367,086 | MDExOlB1bGxSZXF1ZXN0NDU1NjE3Nzcy | 428 | fix concatenate_datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/427/comments | https://api.github.com/repos/huggingface/datasets/issues/427/events | https://github.com/huggingface/datasets/pull/427 | 664,341,623 | MDExOlB1bGxSZXF1ZXN0NDU1NTk1Nzc3 | 427 | Allow sequence features for beam + add processed Natural Questions | {
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### The issue
The steps of beam datasets processing is the following:
- download the source files and send them in a remote storage (gcs)
- process the files using a beam runner (dataflow)
- save output in remote storage (gcs)
- convert outp... | {
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https://api.github.com/repos/huggingface/datasets/issues/426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/426/comments | https://api.github.com/repos/huggingface/datasets/issues/426/events | https://github.com/huggingface/datasets/issues/426 | 664,203,897 | MDU6SXNzdWU2NjQyMDM4OTc= | 426 | [FEATURE REQUEST] Multiprocessing with for dataset.map, dataset.filter | {
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] | closed | false | null | [] | null | 6 | 2020-07-23 05:00:41+00:00 | 2021-03-12 09:34:12+00:00 | 2020-09-07 14:48:04+00:00 | NONE | null | null | {
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} | It would be nice to be able to speed up `dataset.map` or `dataset.filter`. Perhaps this is as easy as sharding the dataset sending each shard to a process/thread/dask pool and using the new `nlp.concatenate_dataset()` function to join them all together? | {
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https://api.github.com/repos/huggingface/datasets/issues/425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/425/comments | https://api.github.com/repos/huggingface/datasets/issues/425/events | https://github.com/huggingface/datasets/issues/425 | 664,029,848 | MDU6SXNzdWU2NjQwMjk4NDg= | 425 | Correct data structure for PAN-X task in XTREME dataset? | {
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## Description of the problem
Thanks to the fix from #416 I am now able to load the NER task in the XTREME dataset as follows:
```python
from nlp import load_dataset
# AmazonPhotos.zip is located in data/
dataset = load_dataset("xtreme", "PAN-X.en", data_dir='./data')
dataset_train = dataset['tr... | {
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https://api.github.com/repos/huggingface/datasets/issues/424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/424/comments | https://api.github.com/repos/huggingface/datasets/issues/424/events | https://github.com/huggingface/datasets/pull/424 | 663,858,552 | MDExOlB1bGxSZXF1ZXN0NDU1MTk4MTY0 | 424 | Web of science | {
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#353 | {
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https://api.github.com/repos/huggingface/datasets/issues/423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/423/comments | https://api.github.com/repos/huggingface/datasets/issues/423/events | https://github.com/huggingface/datasets/pull/423 | 663,079,359 | MDExOlB1bGxSZXF1ZXN0NDU0NTU4OTA0 | 423 | Change features vs schema logic | {
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"gists_url": "https:... | [] | closed | false | null | [] | null | 2 | 2020-07-21 14:52:47+00:00 | 2020-07-25 09:08:34+00:00 | 2020-07-23 10:15:17+00:00 | MEMBER | null | null | null | null | ## New logic for `nlp.Features` in datasets
Previously, it was confusing to have `features` and pyarrow's `schema` in `nlp.Dataset`.
However `features` is supposed to be the front-facing object to define the different fields of a dataset, while `schema` is only used to write arrow files.
Changes:
- Remove `sche... | {
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https://api.github.com/repos/huggingface/datasets/issues/422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/422/comments | https://api.github.com/repos/huggingface/datasets/issues/422/events | https://github.com/huggingface/datasets/pull/422 | 663,028,497 | MDExOlB1bGxSZXF1ZXN0NDU0NTE3MDU2 | 422 | - Corrected encoding for IMDB. | {
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https://api.github.com/repos/huggingface/datasets/issues/421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/421/comments | https://api.github.com/repos/huggingface/datasets/issues/421/events | https://github.com/huggingface/datasets/pull/421 | 662,213,864 | MDExOlB1bGxSZXF1ZXN0NDUzNzkzMzQ1 | 421 | Style change | {
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https://api.github.com/repos/huggingface/datasets/issues/420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/420/comments | https://api.github.com/repos/huggingface/datasets/issues/420/events | https://github.com/huggingface/datasets/pull/420 | 662,029,782 | MDExOlB1bGxSZXF1ZXN0NDUzNjI5OTk2 | 420 | Better handle nested features | {
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- added arrow schema to features conversion (it's going to be useful to fix #342 )
- make flatten handle deep features (useful for tfrecords conversion in #339 )
- add tests for flatten and features conversions
- the reader now returns the kwargs to instantiate a Dataset (fix circular dependencies) | {
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https://api.github.com/repos/huggingface/datasets/issues/419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/419/comments | https://api.github.com/repos/huggingface/datasets/issues/419/events | https://github.com/huggingface/datasets/pull/419 | 661,974,747 | MDExOlB1bGxSZXF1ZXN0NDUzNTgxNzQz | 419 | EmoContext dataset add | {
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Signed-off-by: lordtt13 <thakurtanmay72@yahoo.com> | {
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https://api.github.com/repos/huggingface/datasets/issues/418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/418/comments | https://api.github.com/repos/huggingface/datasets/issues/418/events | https://github.com/huggingface/datasets/issues/418 | 661,914,873 | MDU6SXNzdWU2NjE5MTQ4NzM= | 418 | Addition of google drive links to dl_manager | {
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This is the script for me:
```python
class EmoConfig(nlp.BuilderConfig):
"""BuilderConfig ... | {
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https://api.github.com/repos/huggingface/datasets/issues/417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/417/comments | https://api.github.com/repos/huggingface/datasets/issues/417/events | https://github.com/huggingface/datasets/pull/417 | 661,804,054 | MDExOlB1bGxSZXF1ZXN0NDUzNDMyODE5 | 417 | Fix docstrins multiple metrics instances | {
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This should fix #304 | {
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https://api.github.com/repos/huggingface/datasets/issues/416 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/416/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/416/comments | https://api.github.com/repos/huggingface/datasets/issues/416/events | https://github.com/huggingface/datasets/pull/416 | 661,635,393 | MDExOlB1bGxSZXF1ZXN0NDUzMjg1NTM4 | 416 | Fix xtreme panx directory | {
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https://api.github.com/repos/huggingface/datasets/issues/415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/415/comments | https://api.github.com/repos/huggingface/datasets/issues/415/events | https://github.com/huggingface/datasets/issues/415 | 660,687,076 | MDU6SXNzdWU2NjA2ODcwNzY= | 415 | Something is wrong with WMT 19 kk-en dataset | {
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{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
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```
>>>import nlp
>>>from nlp import load_dataset
>>>dataset = load_dataset('wmt19', 'kk-en')
>>>dataset["train"]["translation"][0]
{'kk': 'Trumpian Uncertainty', 'en': 'Трамптық белгісіздік'}
>>>dataset["validation"]["translation"][0]
{'kk': 'Ақша-несие... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/414/comments | https://api.github.com/repos/huggingface/datasets/issues/414/events | https://github.com/huggingface/datasets/issues/414 | 660,654,013 | MDU6SXNzdWU2NjA2NTQwMTM= | 414 | from_dict delete? | {
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https://api.github.com/repos/huggingface/datasets/issues/413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/413/comments | https://api.github.com/repos/huggingface/datasets/issues/413/events | https://github.com/huggingface/datasets/issues/413 | 660,063,655 | MDU6SXNzdWU2NjAwNjM2NTU= | 413 | Is there a way to download only NQ dev? | {
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} | Maybe I missed that in the docs, but is there a way to only download the dev set of natural questions (~1 GB)?
As we want to benchmark QA models on different datasets, I would like to avoid downloading the 41GB of training data.
I tried
```
dataset = nlp.load_dataset('natural_questions', split="validation", bea... | {
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https://api.github.com/repos/huggingface/datasets/issues/412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/412/comments | https://api.github.com/repos/huggingface/datasets/issues/412/events | https://github.com/huggingface/datasets/issues/412 | 660,047,139 | MDU6SXNzdWU2NjAwNDcxMzk= | 412 | Unable to load XTREME dataset from disk | {
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## Description of the problem
Following the [docs](https://huggingface.co/nlp/loading_datasets.html?highlight=xtreme#manually-downloading-files) I'm trying to load the `PAN-X.fr` dataset from the [XTREME](https://github.com/google-research/xtreme) benchmark.
I have manually downloaded the `AmazonPho... | {
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https://api.github.com/repos/huggingface/datasets/issues/411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/411/comments | https://api.github.com/repos/huggingface/datasets/issues/411/events | https://github.com/huggingface/datasets/pull/411 | 659,393,398 | MDExOlB1bGxSZXF1ZXN0NDUxMjQxOTQy | 411 | Sbf | {
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dataset homepage: https://homes.cs.washington.edu/~msap/social-bias-frames/ | {
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https://api.github.com/repos/huggingface/datasets/issues/410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/410/comments | https://api.github.com/repos/huggingface/datasets/issues/410/events | https://github.com/huggingface/datasets/pull/410 | 659,242,871 | MDExOlB1bGxSZXF1ZXN0NDUxMTEzMTI3 | 410 | 20newsgroup | {
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#353 | {
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https://api.github.com/repos/huggingface/datasets/issues/409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/409/comments | https://api.github.com/repos/huggingface/datasets/issues/409/events | https://github.com/huggingface/datasets/issues/409 | 659,128,611 | MDU6SXNzdWU2NTkxMjg2MTE= | 409 | train_test_split error: 'dict' object has no attribute 'deepcopy' | {
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} | `train_test_split` is giving me an error when I try and call it:
`'dict' object has no attribute 'deepcopy'`
## To reproduce
```
dataset = load_dataset('glue', 'mrpc', split='train')
dataset = dataset.train_test_split(test_size=0.2)
```
## Full Stacktrace
```
-------------------------------------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/408/comments | https://api.github.com/repos/huggingface/datasets/issues/408/events | https://github.com/huggingface/datasets/pull/408 | 659,064,144 | MDExOlB1bGxSZXF1ZXN0NDUwOTU1MTE0 | 408 | Add tests datasets gcp | {
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These tests make sure that they're always available. It also makes sure that their scripts are in sync between S3 and the repo.
This should avoid future issues like #407 | {
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https://api.github.com/repos/huggingface/datasets/issues/407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/407/comments | https://api.github.com/repos/huggingface/datasets/issues/407/events | https://github.com/huggingface/datasets/issues/407 | 658,672,736 | MDU6SXNzdWU2NTg2NzI3MzY= | 407 | MissingBeamOptions for Wikipedia 20200501.en | {
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} | There may or may not be a regression for the pre-processed Wikipedia dataset. This was working fine 10 commits ago (without having Apache Beam available):
```
nlp.load_dataset('wikipedia', "20200501.en", split='train')
```
And now, having pulled master, I get:
```
Downloading and preparing dataset wikipedia... | {
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https://api.github.com/repos/huggingface/datasets/issues/406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/406/comments | https://api.github.com/repos/huggingface/datasets/issues/406/events | https://github.com/huggingface/datasets/issues/406 | 658,581,764 | MDU6SXNzdWU2NTg1ODE3NjQ= | 406 | Faster Shuffling? | {
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} | Consider shuffling bookcorpus:
```
dataset = nlp.load_dataset('bookcorpus', split='train')
dataset.shuffle()
```
According to tqdm, this will take around 2.5 hours on my machine to complete (even with the faster version of select from #405). I've also tried with `keep_in_memory=True` and `writer_batch_size=1000`... | {
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https://api.github.com/repos/huggingface/datasets/issues/405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/405/comments | https://api.github.com/repos/huggingface/datasets/issues/405/events | https://github.com/huggingface/datasets/pull/405 | 658,580,192 | MDExOlB1bGxSZXF1ZXN0NDUwNTI1MTc3 | 405 | Make select() faster by batching reads | {
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```
dataset = nlp.load_dataset('bookcorpus', split='train')
start = time.time()
dataset.select(np.arange(1000), reader_batch_size=1, load_from_cache_file=False)
end = time.time()
print(f'{end - start}')
start = time.time()
dataset.select(np.arange(1000), reader_batch_size=1000, load_fr... | {
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https://api.github.com/repos/huggingface/datasets/issues/404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/404/comments | https://api.github.com/repos/huggingface/datasets/issues/404/events | https://github.com/huggingface/datasets/pull/404 | 658,400,987 | MDExOlB1bGxSZXF1ZXN0NDUwMzY4Mjg4 | 404 | Add seed in metrics | {
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"gists_url": "https:... | [] | closed | false | null | [] | null | 0 | 2020-07-16 17:27:05+00:00 | 2020-07-20 10:12:35+00:00 | 2020-07-20 10:12:34+00:00 | MEMBER | null | null | null | null | With #361 we noticed that some metrics were not deterministic.
In this PR I allow the user to specify numpy's seed when instantiating a metric with `load_metric`.
The seed is set only when `compute` is called, and reset afterwards.
Moreover when calling `compute` with the same metric instance (i.e. same experiment... | {
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https://api.github.com/repos/huggingface/datasets/issues/403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/403/comments | https://api.github.com/repos/huggingface/datasets/issues/403/events | https://github.com/huggingface/datasets/pull/403 | 658,325,756 | MDExOlB1bGxSZXF1ZXN0NDUwMzAzNjI2 | 403 | return python objects instead of arrays by default | {
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I fixed it by using to_pydict/to_pylist instead.
Fix #387
It was mentioned in https://github.com/huggingface/transformers/issues/5729
| {
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https://api.github.com/repos/huggingface/datasets/issues/402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/402/comments | https://api.github.com/repos/huggingface/datasets/issues/402/events | https://github.com/huggingface/datasets/pull/402 | 658,001,288 | MDExOlB1bGxSZXF1ZXN0NDUwMDI2NTE0 | 402 | Search qa | {
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#336 | {
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https://api.github.com/repos/huggingface/datasets/issues/401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/401/comments | https://api.github.com/repos/huggingface/datasets/issues/401/events | https://github.com/huggingface/datasets/pull/401 | 657,996,252 | MDExOlB1bGxSZXF1ZXN0NDUwMDIyNTc0 | 401 | add web_questions | {
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#336
Maybe @patrickvonplaten you can help with the dummy_data structure? it still broken | {
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https://api.github.com/repos/huggingface/datasets/issues/400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/400/comments | https://api.github.com/repos/huggingface/datasets/issues/400/events | https://github.com/huggingface/datasets/pull/400 | 657,975,600 | MDExOlB1bGxSZXF1ZXN0NDUwMDA1MDU5 | 400 | Web questions | {
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#336 | {
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https://api.github.com/repos/huggingface/datasets/issues/399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/399/comments | https://api.github.com/repos/huggingface/datasets/issues/399/events | https://github.com/huggingface/datasets/pull/399 | 657,841,433 | MDExOlB1bGxSZXF1ZXN0NDQ5ODkxNTEy | 399 | Spelling mistake | {
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https://api.github.com/repos/huggingface/datasets/issues/398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/398/comments | https://api.github.com/repos/huggingface/datasets/issues/398/events | https://github.com/huggingface/datasets/pull/398 | 657,511,962 | MDExOlB1bGxSZXF1ZXN0NDQ5NjE1OTk1 | 398 | Add inline links | {
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https://api.github.com/repos/huggingface/datasets/issues/397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/397/comments | https://api.github.com/repos/huggingface/datasets/issues/397/events | https://github.com/huggingface/datasets/pull/397 | 657,510,856 | MDExOlB1bGxSZXF1ZXN0NDQ5NjE1MDA4 | 397 | Add contiguous sharding | {
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"gists... | [] | closed | false | null | [] | null | 0 | 2020-07-15 17:02:58+00:00 | 2020-07-17 16:59:31+00:00 | 2020-07-17 16:59:31+00:00 | CONTRIBUTOR | null | null | null | null | This makes dset.shard() play nice with nlp.concatenate_datasets(). When I originally wrote the shard() method, I was thinking about a distributed training scenario, but https://github.com/huggingface/nlp/pull/389 also uses it for splitting the dataset for distributed preprocessing.
Usage:
```
nlp.concatenate_datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/396/comments | https://api.github.com/repos/huggingface/datasets/issues/396/events | https://github.com/huggingface/datasets/pull/396 | 657,477,952 | MDExOlB1bGxSZXF1ZXN0NDQ5NTg3MDQ4 | 396 | Fix memory issue when doing select | {
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Fix #395 | {
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} | As noticed in #389, the following code loads the entire wikipedia in memory.
```python
import nlp
w = nlp.load_dataset("wikipedia", "20200501.en", split="train")
w.select([0])
```
This is caused by [this line](https://github.com/huggingface/nlp/blob/master/src/nlp/arrow_dataset.py#L626) for some reason, that ... | {
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https://api.github.com/repos/huggingface/datasets/issues/394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/394/comments | https://api.github.com/repos/huggingface/datasets/issues/394/events | https://github.com/huggingface/datasets/pull/394 | 657,425,548 | MDExOlB1bGxSZXF1ZXN0NDQ5NTQzNTE0 | 394 | Remove remaining nested dict | {
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#378 | {
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https://api.github.com/repos/huggingface/datasets/issues/393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/393/comments | https://api.github.com/repos/huggingface/datasets/issues/393/events | https://github.com/huggingface/datasets/pull/393 | 657,330,911 | MDExOlB1bGxSZXF1ZXN0NDQ5NDY1MTAz | 393 | Fix extracted files directory for the DownloadManager | {
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For downloaded files, we are using the `downloads` directory to make things easier to navigate, but extracted files were still placed at the root of the cache directory. To fix that I changed the directory for extracted files to ca... | {
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