id int64 599M 3.29B | url stringlengths 58 61 | html_url stringlengths 46 51 | number int64 1 7.72k | title stringlengths 1 290 | state stringclasses 2
values | comments int64 0 70 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-08-05 09:28:51 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-08-05 11:39:56 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-08-01 05:15:45 ⌀ | user_login stringlengths 3 26 | labels listlengths 0 4 | body stringlengths 0 228k ⌀ | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
652,424,048 | https://api.github.com/repos/huggingface/datasets/issues/351 | https://github.com/huggingface/datasets/pull/351 | 351 | add pandas dataset | closed | 0 | 2020-07-07T15:38:07 | 2020-07-08T14:15:16 | 2020-07-08T14:15:15 | lhoestq | [] | Create a dataset from serialized pandas dataframes.
Usage:
```python
from nlp import load_dataset
dset = load_dataset("pandas", data_files="df.pkl")["train"]
``` | true |
652,398,691 | https://api.github.com/repos/huggingface/datasets/issues/350 | https://github.com/huggingface/datasets/pull/350 | 350 | add from_pandas and from_dict | closed | 0 | 2020-07-07T15:03:53 | 2020-07-08T14:14:33 | 2020-07-08T14:14:32 | lhoestq | [] | I added two new methods to the `Dataset` class:
- `from_pandas()` to create a dataset from a pandas dataframe
- `from_dict()` to create a dataset from a dictionary (keys = columns)
It uses the `pa.Table.from_pandas` and `pa.Table.from_pydict` funcitons to do so.
It is also possible to specify the features types v... | true |
652,231,571 | https://api.github.com/repos/huggingface/datasets/issues/349 | https://github.com/huggingface/datasets/pull/349 | 349 | Hyperpartisan news detection | closed | 2 | 2020-07-07T11:06:37 | 2020-07-07T20:47:27 | 2020-07-07T14:57:11 | ghomasHudson | [] | Adding the hyperpartisan news detection dataset from PAN. This contains news article text, labelled with whether they're hyper-partisan and why kinds of biases they display.
Implementation notes:
- As with many PAN tasks, the data is hosted on [Zenodo](https://zenodo.org/record/1489920) and must be requested before... | true |
652,158,308 | https://api.github.com/repos/huggingface/datasets/issues/348 | https://github.com/huggingface/datasets/pull/348 | 348 | Add OSCAR dataset | closed | 20 | 2020-07-07T09:22:07 | 2021-05-03T22:07:08 | 2021-02-09T10:19:19 | pjox | [] | I don't know if tests pass, when I run them it tries to download the whole corpus which is around 3.5TB compressed and I don't have that kind of space. I'll really need some help with it 😅
Thanks! | true |
652,106,567 | https://api.github.com/repos/huggingface/datasets/issues/347 | https://github.com/huggingface/datasets/issues/347 | 347 | 'cp950' codec error from load_dataset('xtreme', 'tydiqa') | closed | 10 | 2020-07-07T08:14:23 | 2020-09-07T14:51:45 | 2020-09-07T14:51:45 | cosmeowpawlitan | [
"dataset bug"
] | 
I guess the error is related to python source encoding issue that my PC is trying to decode the source code with wrong encoding-decoding tools, perhaps :
https://www.python.org/dev/peps/pep-0263/
I gues... | false |
652,044,151 | https://api.github.com/repos/huggingface/datasets/issues/346 | https://github.com/huggingface/datasets/pull/346 | 346 | Add emotion dataset | closed | 9 | 2020-07-07T06:35:41 | 2022-05-30T15:16:44 | 2020-07-13T14:39:38 | lewtun | [] | Hello 🤗 team!
I am trying to add an emotion classification dataset ([link](https://github.com/dair-ai/emotion_dataset)) to `nlp` but I am a bit stuck about what I should do when the URL for the dataset is not a ZIP file, but just a pickled `pandas.DataFrame` (see [here](https://www.dropbox.com/s/607ptdakxuh5i4s/me... | true |
651,761,201 | https://api.github.com/repos/huggingface/datasets/issues/345 | https://github.com/huggingface/datasets/issues/345 | 345 | Supporting documents in ELI5 | closed | 2 | 2020-07-06T19:14:13 | 2020-10-27T15:38:45 | 2020-10-27T15:38:45 | saverymax | [] | I was attempting to use the ELI5 dataset, when I realized that huggingface does not provide the supporting documents (the source documents from the common crawl). Without the supporting documents, this makes the dataset about as useful for my project as a block of cheese, or some other more apt metaphor. According to ... | false |
651,495,246 | https://api.github.com/repos/huggingface/datasets/issues/344 | https://github.com/huggingface/datasets/pull/344 | 344 | Search qa | closed | 1 | 2020-07-06T12:23:16 | 2020-07-16T08:58:16 | 2020-07-16T08:58:16 | mariamabarham | [] | This PR adds the Search QA dataset used in **SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine**. The dataset has the following config name:
- raw_jeopardy: raw data
- train_test_val: which is the splitted version
#336 | true |
651,419,630 | https://api.github.com/repos/huggingface/datasets/issues/343 | https://github.com/huggingface/datasets/pull/343 | 343 | Fix nested tensorflow format | closed | 0 | 2020-07-06T10:13:45 | 2020-07-06T13:11:52 | 2020-07-06T13:11:51 | lhoestq | [] | In #339 and #337 we are thinking about adding a way to export datasets to tfrecords.
However I noticed that it was not possible to do `dset.set_format("tensorflow")` on datasets with nested features like `squad`. I fixed that using a nested map operations to convert features to `tf.ragged.constant`.
I also added ... | true |
651,333,194 | https://api.github.com/repos/huggingface/datasets/issues/342 | https://github.com/huggingface/datasets/issues/342 | 342 | Features should be updated when `map()` changes schema | closed | 1 | 2020-07-06T08:03:23 | 2020-07-23T10:15:16 | 2020-07-23T10:15:16 | thomwolf | [] | `dataset.map()` can change the schema and column names.
We should update the features in this case (with what is possible to infer). | false |
650,611,969 | https://api.github.com/repos/huggingface/datasets/issues/341 | https://github.com/huggingface/datasets/pull/341 | 341 | add fever dataset | closed | 0 | 2020-07-03T13:53:07 | 2020-07-06T13:03:48 | 2020-07-06T13:03:47 | mariamabarham | [] | This PR add the FEVER dataset https://fever.ai/ used in with the paper: FEVER: a large-scale dataset for Fact Extraction and VERification (https://arxiv.org/pdf/1803.05355.pdf).
#336 | true |
650,533,920 | https://api.github.com/repos/huggingface/datasets/issues/340 | https://github.com/huggingface/datasets/pull/340 | 340 | Update cfq.py | closed | 1 | 2020-07-03T11:23:19 | 2020-07-03T12:33:50 | 2020-07-03T12:33:50 | brainshawn | [] | Make the dataset name consistent with in the paper: Compositional Freebase Question => Compositional Freebase Questions. | true |
650,156,468 | https://api.github.com/repos/huggingface/datasets/issues/339 | https://github.com/huggingface/datasets/pull/339 | 339 | Add dataset.export() to TFRecords | closed | 18 | 2020-07-02T19:26:27 | 2020-07-22T09:16:12 | 2020-07-22T09:16:12 | jarednielsen | [] | Fixes https://github.com/huggingface/nlp/issues/337
Some design decisions:
- Simplified the function API to not handle sharding. It writes the entire dataset as a single TFRecord file. This simplifies the function logic and users can use other functions (`select`, `shard`, etc) to handle custom sharding or splitt... | true |
650,057,253 | https://api.github.com/repos/huggingface/datasets/issues/338 | https://github.com/huggingface/datasets/pull/338 | 338 | Run `make style` | closed | 0 | 2020-07-02T16:19:47 | 2020-07-02T18:03:10 | 2020-07-02T18:03:10 | jarednielsen | [] | These files get changed when I run `make style` on an unrelated PR. Upstreaming these changes so development on a different branch can be easier. | true |
650,035,887 | https://api.github.com/repos/huggingface/datasets/issues/337 | https://github.com/huggingface/datasets/issues/337 | 337 | [Feature request] Export Arrow dataset to TFRecords | closed | 0 | 2020-07-02T15:47:12 | 2020-07-22T09:16:12 | 2020-07-22T09:16:12 | jarednielsen | [] | The TFRecord generation process is error-prone and requires complex separate Python scripts to download and preprocess the data. I propose to combine the user-friendly features of `nlp` with the speed and efficiency of TFRecords. Sample API:
```python
# use these existing methods
ds = load_dataset("wikitext", "wik... | false |
649,914,203 | https://api.github.com/repos/huggingface/datasets/issues/336 | https://github.com/huggingface/datasets/issues/336 | 336 | [Dataset requests] New datasets for Open Question Answering | closed | 0 | 2020-07-02T13:03:03 | 2020-07-16T09:04:22 | 2020-07-16T09:04:22 | thomwolf | [
"help wanted",
"dataset request"
] | We are still a few datasets missing for Open-Question Answering which is currently a field in strong development.
Namely, it would be really nice to add:
- WebQuestions (Berant et al., 2013) [done]
- CuratedTrec (Baudis et al. 2015) [not open-source]
- MS-MARCO (NGuyen et al. 2016) [done]
- SearchQA (Dunn et al.... | false |
649,765,179 | https://api.github.com/repos/huggingface/datasets/issues/335 | https://github.com/huggingface/datasets/pull/335 | 335 | BioMRC Dataset presented in BioNLP 2020 ACL Workshop | closed | 2 | 2020-07-02T09:03:41 | 2020-07-15T08:02:07 | 2020-07-15T08:02:07 | PetrosStav | [] | true | |
649,661,791 | https://api.github.com/repos/huggingface/datasets/issues/334 | https://github.com/huggingface/datasets/pull/334 | 334 | Add dataset.shard() method | closed | 1 | 2020-07-02T06:05:19 | 2020-07-06T12:35:36 | 2020-07-06T12:35:36 | jarednielsen | [] | Fixes https://github.com/huggingface/nlp/issues/312 | true |
649,236,516 | https://api.github.com/repos/huggingface/datasets/issues/333 | https://github.com/huggingface/datasets/pull/333 | 333 | fix variable name typo | closed | 2 | 2020-07-01T19:13:50 | 2020-07-24T15:43:31 | 2020-07-24T08:32:16 | stas00 | [] | true | |
649,140,135 | https://api.github.com/repos/huggingface/datasets/issues/332 | https://github.com/huggingface/datasets/pull/332 | 332 | Add wiki_dpr | closed | 2 | 2020-07-01T17:12:00 | 2020-07-06T12:21:17 | 2020-07-06T12:21:16 | lhoestq | [] | Presented in the [Dense Passage Retrieval paper](https://arxiv.org/pdf/2004.04906.pdf), this dataset consists in 21M passages from the english wikipedia along with their 768-dim embeddings computed using DPR's context encoder.
Note on the implementation:
- There are two configs: with and without the embeddings (73G... | true |
648,533,199 | https://api.github.com/repos/huggingface/datasets/issues/331 | https://github.com/huggingface/datasets/issues/331 | 331 | Loading CNN/Daily Mail dataset produces `nlp.utils.info_utils.NonMatchingSplitsSizesError` | closed | 5 | 2020-06-30T22:21:33 | 2020-07-09T13:03:40 | 2020-07-09T13:03:40 | jxmorris12 | [
"dataset bug"
] | ```
>>> import nlp
>>> nlp.load_dataset('cnn_dailymail', '3.0.0')
Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.26 GiB, total: 1.81 GiB) to /u/jm8wx/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0...
Traceback (most recent call last):
File "<stdin>", line 1, in... | false |
648,525,720 | https://api.github.com/repos/huggingface/datasets/issues/330 | https://github.com/huggingface/datasets/pull/330 | 330 | Doc red | closed | 0 | 2020-06-30T22:05:31 | 2020-07-06T12:10:39 | 2020-07-05T12:27:29 | ghomasHudson | [] | Adding [DocRED](https://github.com/thunlp/DocRED) - a relation extraction dataset which tests document-level RE. A few implementation notes:
- There are 2 separate versions of the training set - *annotated* and *distant*. Instead of `nlp.Split.Train` I've used the splits `"train_annotated"` and `"train_distant"` to ... | true |
648,446,979 | https://api.github.com/repos/huggingface/datasets/issues/329 | https://github.com/huggingface/datasets/issues/329 | 329 | [Bug] FileLock dependency incompatible with filesystem | closed | 11 | 2020-06-30T19:45:31 | 2024-12-26T15:13:39 | 2020-06-30T21:33:06 | jarednielsen | [] | I'm downloading a dataset successfully with
`load_dataset("wikitext", "wikitext-2-raw-v1")`
But when I attempt to cache it on an external volume, it hangs indefinitely:
`load_dataset("wikitext", "wikitext-2-raw-v1", cache_dir="/fsx") # /fsx is an external volume mount`
The filesystem when hanging looks like thi... | false |
648,326,841 | https://api.github.com/repos/huggingface/datasets/issues/328 | https://github.com/huggingface/datasets/issues/328 | 328 | Fork dataset | closed | 5 | 2020-06-30T16:42:53 | 2020-07-06T21:43:59 | 2020-07-06T21:43:59 | timothyjlaurent | [] | We have a multi-task learning model training I'm trying to convert to using the Arrow-based nlp dataset.
We're currently training a custom TensorFlow model but the nlp paradigm should be a bridge for us to be able to use the wealth of pre-trained models in Transformers.
Our preprocessing flow parses raw text and... | false |
648,312,858 | https://api.github.com/repos/huggingface/datasets/issues/327 | https://github.com/huggingface/datasets/pull/327 | 327 | set seed for suffling tests | closed | 0 | 2020-06-30T16:21:34 | 2020-07-02T08:34:05 | 2020-07-02T08:34:04 | lhoestq | [] | Some tests were randomly failing because of a missing seed in a test for `train_test_split(shuffle=True)` | true |
648,126,103 | https://api.github.com/repos/huggingface/datasets/issues/326 | https://github.com/huggingface/datasets/issues/326 | 326 | Large dataset in Squad2-format | closed | 8 | 2020-06-30T12:18:59 | 2020-07-09T09:01:50 | 2020-07-09T09:01:50 | flozi00 | [] | At the moment we are building an large question answering dataset and think about sharing it with the huggingface community.
Caused the computing power we splitted it into multiple tiles, but they are all in the same format.
Right now the most important facts about are this:
- Contexts: 1.047.671
- questions: 1.677... | false |
647,601,592 | https://api.github.com/repos/huggingface/datasets/issues/325 | https://github.com/huggingface/datasets/pull/325 | 325 | Add SQuADShifts dataset | closed | 1 | 2020-06-29T19:11:16 | 2020-06-30T17:07:31 | 2020-06-30T17:07:31 | millerjohnp | [] | This PR adds the four new variants of the SQuAD dataset used in [The Effect of Natural Distribution Shift on Question Answering Models](https://arxiv.org/abs/2004.14444) to facilitate evaluating model robustness to distribution shift. | true |
647,525,725 | https://api.github.com/repos/huggingface/datasets/issues/324 | https://github.com/huggingface/datasets/issues/324 | 324 | Error when calculating glue score | closed | 4 | 2020-06-29T16:53:48 | 2020-07-09T09:13:34 | 2020-07-09T09:13:34 | D-i-l-r-u-k-s-h-i | [] | I was trying glue score along with other metrics here. But glue gives me this error;
```
import nlp
glue_metric = nlp.load_metric('glue',name="cola")
glue_score = glue_metric.compute(predictions, references)
```
```
---------------------------------------------------------------------------
--------------... | false |
647,521,308 | https://api.github.com/repos/huggingface/datasets/issues/323 | https://github.com/huggingface/datasets/pull/323 | 323 | Add package path to sys when downloading package as github archive | closed | 2 | 2020-06-29T16:46:01 | 2020-07-30T14:00:23 | 2020-07-30T14:00:23 | yjernite | [] | This fixes the `coval.py` metric so that imports within the downloaded module work correctly. We can use a similar trick to add the BLEURT metric (@ankparikh)
@thomwolf not sure how you feel about adding to the `PYTHONPATH` from the script. This is the only way I could make it work with my understanding of `importli... | true |
647,483,850 | https://api.github.com/repos/huggingface/datasets/issues/322 | https://github.com/huggingface/datasets/pull/322 | 322 | output nested dict in get_nearest_examples | closed | 0 | 2020-06-29T15:47:47 | 2020-07-02T08:33:33 | 2020-07-02T08:33:32 | lhoestq | [] | As we are using a columnar format like arrow as the backend for datasets, we expect to have a dictionary of columns when we slice a dataset like in this example:
```python
my_examples = dataset[0:10]
print(type(my_examples))
# >>> dict
print(my_examples["my_column"][0]
# >>> this is the first element of the colum... | true |
647,271,526 | https://api.github.com/repos/huggingface/datasets/issues/321 | https://github.com/huggingface/datasets/issues/321 | 321 | ERROR:root:mwparserfromhell | closed | 10 | 2020-06-29T11:10:43 | 2022-02-14T15:21:46 | 2022-02-14T15:21:46 | Shiro-LK | [
"dataset bug"
] | Hi,
I am trying to download some wikipedia data but I got this error for spanish "es" (but there are maybe some others languages which have the same error I haven't tried all of them ).
`ERROR:root:mwparserfromhell ParseError: This is a bug and should be reported. Info: C tokenizer exited with non-empty token sta... | false |
647,188,167 | https://api.github.com/repos/huggingface/datasets/issues/320 | https://github.com/huggingface/datasets/issues/320 | 320 | Blog Authorship Corpus, Non Matching Splits Sizes Error, nlp viewer | closed | 2 | 2020-06-29T07:36:35 | 2020-06-29T14:44:42 | 2020-06-29T14:44:42 | mariamabarham | [
"nlp-viewer"
] | Selecting `blog_authorship_corpus` in the nlp viewer throws the following error:
```
NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train', num_bytes=614706451, num_examples=535568, dat... | false |
646,792,487 | https://api.github.com/repos/huggingface/datasets/issues/319 | https://github.com/huggingface/datasets/issues/319 | 319 | Nested sequences with dicts | closed | 1 | 2020-06-27T23:45:17 | 2020-07-03T10:22:00 | 2020-07-03T10:22:00 | ghomasHudson | [] | Am pretty much finished [adding a dataset](https://github.com/ghomasHudson/nlp/blob/DocRED/datasets/docred/docred.py) for [DocRED](https://github.com/thunlp/DocRED), but am getting an error when trying to add a nested `nlp.features.sequence(nlp.features.sequence({key:value,...}))`.
The original data is in this form... | false |
646,682,840 | https://api.github.com/repos/huggingface/datasets/issues/318 | https://github.com/huggingface/datasets/pull/318 | 318 | Multitask | closed | 18 | 2020-06-27T13:27:29 | 2022-07-06T15:19:57 | 2022-07-06T15:19:57 | ghomasHudson | [] | Following our discussion in #217, I've implemented a first working version of `MultiDataset`.
There's a function `build_multitask()` which takes either individual `nlp.Dataset`s or `dicts` of splits and constructs `MultiDataset`(s). I've added a notebook with example usage.
I've implemented many of the `nlp.Datas... | true |
646,555,384 | https://api.github.com/repos/huggingface/datasets/issues/317 | https://github.com/huggingface/datasets/issues/317 | 317 | Adding a dataset with multiple subtasks | closed | 1 | 2020-06-26T23:14:19 | 2020-10-27T15:36:52 | 2020-10-27T15:36:52 | erickrf | [] | I intent to add the datasets of the MT Quality Estimation shared tasks to `nlp`. However, they have different subtasks -- such as word-level, sentence-level and document-level quality estimation, each of which having different language pairs, and some of the data reused in different subtasks.
For example, in [QE 201... | false |
646,366,450 | https://api.github.com/repos/huggingface/datasets/issues/316 | https://github.com/huggingface/datasets/pull/316 | 316 | add AG News dataset | closed | 1 | 2020-06-26T16:11:58 | 2020-06-30T09:58:08 | 2020-06-30T08:31:55 | jxmorris12 | [] | adds support for the AG-News topic classification dataset | true |
645,888,943 | https://api.github.com/repos/huggingface/datasets/issues/315 | https://github.com/huggingface/datasets/issues/315 | 315 | [Question] Best way to batch a large dataset? | open | 11 | 2020-06-25T22:30:20 | 2020-10-27T15:38:17 | null | jarednielsen | [
"generic discussion"
] | I'm training on large datasets such as Wikipedia and BookCorpus. Following the instructions in [the tutorial notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb), I see the following recommended for TensorFlow:
```python
train_tf_dataset = train_tf_dataset.filter(... | false |
645,461,174 | https://api.github.com/repos/huggingface/datasets/issues/314 | https://github.com/huggingface/datasets/pull/314 | 314 | Fixed singlular very minor spelling error | closed | 1 | 2020-06-25T10:45:59 | 2020-06-26T08:46:41 | 2020-06-25T12:43:59 | SchizoidBat | [] | An instance of "independantly" was changed to "independently". That's all. | true |
645,390,088 | https://api.github.com/repos/huggingface/datasets/issues/313 | https://github.com/huggingface/datasets/pull/313 | 313 | Add MWSC | closed | 1 | 2020-06-25T09:22:02 | 2020-06-30T08:28:11 | 2020-06-30T08:28:11 | ghomasHudson | [] | Adding the [Modified Winograd Schema Challenge](https://github.com/salesforce/decaNLP/blob/master/local_data/schema.txt) dataset which formed part of the [decaNLP](http://decanlp.com/) benchmark. Not sure how much use people would find for it it outside of the benchmark, but it is general purpose.
Code is heavily bo... | true |
645,025,561 | https://api.github.com/repos/huggingface/datasets/issues/312 | https://github.com/huggingface/datasets/issues/312 | 312 | [Feature request] Add `shard()` method to dataset | closed | 2 | 2020-06-24T22:48:33 | 2020-07-06T12:35:36 | 2020-07-06T12:35:36 | jarednielsen | [] | Currently, to shard a dataset into 10 pieces on different ranks, you can run
```python
rank = 3 # for example
size = 10
dataset = nlp.load_dataset('wikitext', 'wikitext-2-raw-v1', split=f"train[{rank*10}%:{(rank+1)*10}%]")
```
However, this breaks down if you have a number of ranks that doesn't divide cleanly... | false |
645,013,131 | https://api.github.com/repos/huggingface/datasets/issues/311 | https://github.com/huggingface/datasets/pull/311 | 311 | Add qa_zre | closed | 0 | 2020-06-24T22:17:22 | 2020-06-29T16:37:38 | 2020-06-29T16:37:38 | ghomasHudson | [] | Adding the QA-ZRE dataset from ["Zero-Shot Relation Extraction via Reading Comprehension"](http://nlp.cs.washington.edu/zeroshot/).
A common processing step seems to be replacing the `XXX` placeholder with the `subject`. I've left this out as it's something you could easily do with `map`. | true |
644,806,720 | https://api.github.com/repos/huggingface/datasets/issues/310 | https://github.com/huggingface/datasets/pull/310 | 310 | add wikisql | closed | 1 | 2020-06-24T18:00:35 | 2020-06-25T12:32:25 | 2020-06-25T12:32:25 | ghomasHudson | [] | Adding the [WikiSQL](https://github.com/salesforce/WikiSQL) dataset.
Interesting things to note:
- Have copied the function (`_convert_to_human_readable`) which converts the SQL query to a human-readable (string) format as this is what most people will want when actually using this dataset for NLP applications.
- ... | true |
644,783,822 | https://api.github.com/repos/huggingface/datasets/issues/309 | https://github.com/huggingface/datasets/pull/309 | 309 | Add narrative qa | closed | 11 | 2020-06-24T17:26:18 | 2020-09-03T09:02:10 | 2020-09-03T09:02:09 | Varal7 | [] | Test cases for dummy data don't pass
Only contains data for summaries (not whole story) | true |
644,195,251 | https://api.github.com/repos/huggingface/datasets/issues/308 | https://github.com/huggingface/datasets/pull/308 | 308 | Specify utf-8 encoding for MRPC files | closed | 0 | 2020-06-23T22:44:36 | 2020-06-25T12:52:21 | 2020-06-25T12:16:10 | patpizio | [] | Fixes #307, again probably a Windows-related issue. | true |
644,187,262 | https://api.github.com/repos/huggingface/datasets/issues/307 | https://github.com/huggingface/datasets/issues/307 | 307 | Specify encoding for MRPC | closed | 0 | 2020-06-23T22:24:49 | 2020-06-25T12:16:09 | 2020-06-25T12:16:09 | patpizio | [] | Same as #242, but with MRPC: on Windows, I get a `UnicodeDecodeError` when I try to download the dataset:
```python
dataset = nlp.load_dataset('glue', 'mrpc')
```
```python
Downloading and preparing dataset glue/mrpc (download: Unknown size, generated: Unknown size, total: Unknown size) to C:\Users\Python\.cache... | false |
644,176,078 | https://api.github.com/repos/huggingface/datasets/issues/306 | https://github.com/huggingface/datasets/pull/306 | 306 | add pg19 dataset | closed | 12 | 2020-06-23T22:03:52 | 2020-07-06T07:55:59 | 2020-07-06T07:55:59 | lucidrains | [] | https://github.com/huggingface/nlp/issues/274
Add functioning PG19 dataset with dummy data
`cos_e.py` was just auto-linted by `make style` | true |
644,148,149 | https://api.github.com/repos/huggingface/datasets/issues/305 | https://github.com/huggingface/datasets/issues/305 | 305 | Importing downloaded package repository fails | closed | 0 | 2020-06-23T21:09:05 | 2020-07-30T16:44:23 | 2020-07-30T16:44:23 | yjernite | [
"metric bug"
] | The `get_imports` function in `src/nlp/load.py` has a feature to download a package as a zip archive of the github repository and import functions from the unpacked directory. This is used for example in the `metrics/coval.py` file, and would be useful to add BLEURT (@ankparikh).
Currently however, the code seems to... | false |
644,091,970 | https://api.github.com/repos/huggingface/datasets/issues/304 | https://github.com/huggingface/datasets/issues/304 | 304 | Problem while printing doc string when instantiating multiple metrics. | closed | 0 | 2020-06-23T19:32:05 | 2020-07-22T09:50:58 | 2020-07-22T09:50:58 | codehunk628 | [
"metric bug"
] | When I load more than one metric and try to print doc string of a particular metric,. It shows the doc strings of all imported metric one after the other which looks quite confusing and clumsy.
Attached [Colab](https://colab.research.google.com/drive/13H0ZgyQ2se0mqJ2yyew0bNEgJuHaJ8H3?usp=sharing) Notebook for problem ... | false |
643,912,464 | https://api.github.com/repos/huggingface/datasets/issues/303 | https://github.com/huggingface/datasets/pull/303 | 303 | allow to move files across file systems | closed | 0 | 2020-06-23T14:56:08 | 2020-06-23T15:08:44 | 2020-06-23T15:08:43 | lhoestq | [] | Users are allowed to use the `cache_dir` that they want.
Therefore it can happen that we try to move files across filesystems.
We were using `os.rename` that doesn't allow that, so I changed some of them to `shutil.move`.
This should fix #301 | true |
643,910,418 | https://api.github.com/repos/huggingface/datasets/issues/302 | https://github.com/huggingface/datasets/issues/302 | 302 | Question - Sign Language Datasets | closed | 3 | 2020-06-23T14:53:40 | 2020-11-25T11:25:33 | 2020-11-25T11:25:33 | AmitMY | [
"enhancement",
"generic discussion"
] | An emerging field in NLP is SLP - sign language processing.
I was wondering about adding datasets here, specifically because it's shaping up to be large and easily usable.
The metrics for sign language to text translation are the same.
So, what do you think about (me, or others) adding datasets here?
An exa... | false |
643,763,525 | https://api.github.com/repos/huggingface/datasets/issues/301 | https://github.com/huggingface/datasets/issues/301 | 301 | Setting cache_dir gives error on wikipedia download | closed | 2 | 2020-06-23T11:31:44 | 2020-06-24T07:05:07 | 2020-06-24T07:05:07 | hallvagi | [] | First of all thank you for a super handy library! I'd like to download large files to a specific drive so I set `cache_dir=my_path`. This works fine with e.g. imdb and squad. But on wikipedia I get an error:
```
nlp.load_dataset('wikipedia', '20200501.de', split = 'train', cache_dir=my_path)
```
```
OSError ... | false |
643,688,304 | https://api.github.com/repos/huggingface/datasets/issues/300 | https://github.com/huggingface/datasets/pull/300 | 300 | Fix bertscore references | closed | 0 | 2020-06-23T09:38:59 | 2020-06-23T14:47:38 | 2020-06-23T14:47:37 | lhoestq | [] | I added some type checking for metrics. There was an issue where a metric could interpret a string a a list. A `ValueError` is raised if a string is given instead of a list.
Moreover I added support for both strings and lists of strings for `references` in `bertscore`, as it is the case in the original code.
Both... | true |
643,611,557 | https://api.github.com/repos/huggingface/datasets/issues/299 | https://github.com/huggingface/datasets/pull/299 | 299 | remove some print in snli file | closed | 1 | 2020-06-23T07:46:06 | 2020-06-23T08:10:46 | 2020-06-23T08:10:44 | mariamabarham | [] | This PR removes unwanted `print` statements in some files such as `snli.py` | true |
643,603,804 | https://api.github.com/repos/huggingface/datasets/issues/298 | https://github.com/huggingface/datasets/pull/298 | 298 | Add searchable datasets | closed | 8 | 2020-06-23T07:33:03 | 2020-06-26T07:50:44 | 2020-06-26T07:50:43 | lhoestq | [] | # Better support for Numpy format + Add Indexed Datasets
I was working on adding Indexed Datasets but in the meantime I had to also add more support for Numpy arrays in the lib.
## Better support for Numpy format
New features:
- New fast method to convert Numpy arrays from Arrow structure (up to x100 speed up... | true |
643,444,625 | https://api.github.com/repos/huggingface/datasets/issues/297 | https://github.com/huggingface/datasets/issues/297 | 297 | Error in Demo for Specific Datasets | closed | 3 | 2020-06-23T00:38:42 | 2020-07-17T17:43:06 | 2020-07-17T17:43:06 | s-jse | [
"nlp-viewer"
] | Selecting `natural_questions` or `newsroom` dataset in the online demo results in an error similar to the following.
| false |
643,423,717 | https://api.github.com/repos/huggingface/datasets/issues/296 | https://github.com/huggingface/datasets/issues/296 | 296 | snli -1 labels | closed | 4 | 2020-06-22T23:33:30 | 2020-06-23T14:41:59 | 2020-06-23T14:41:58 | jxmorris12 | [] | I'm trying to train a model on the SNLI dataset. Why does it have so many -1 labels?
```
import nlp
from collections import Counter
data = nlp.load_dataset('snli')['train']
print(Counter(data['label']))
Counter({0: 183416, 2: 183187, 1: 182764, -1: 785})
```
| false |
643,245,412 | https://api.github.com/repos/huggingface/datasets/issues/295 | https://github.com/huggingface/datasets/issues/295 | 295 | Improve input warning for evaluation metrics | closed | 0 | 2020-06-22T17:28:57 | 2020-06-23T14:47:37 | 2020-06-23T14:47:37 | Tiiiger | [] | Hi,
I am the author of `bert_score`. Recently, we received [ an issue ](https://github.com/Tiiiger/bert_score/issues/62) reporting a problem in using `bert_score` from the `nlp` package (also see #238 in this repo). After looking into this, I realized that the problem arises from the format `nlp.Metric` takes inpu... | false |
643,181,179 | https://api.github.com/repos/huggingface/datasets/issues/294 | https://github.com/huggingface/datasets/issues/294 | 294 | Cannot load arxiv dataset on MacOS? | closed | 4 | 2020-06-22T15:46:55 | 2020-06-30T15:25:10 | 2020-06-30T15:25:10 | JohnGiorgi | [
"dataset bug"
] | I am having trouble loading the `"arxiv"` config from the `"scientific_papers"` dataset on MacOS. When I try loading the dataset with:
```python
arxiv = nlp.load_dataset("scientific_papers", "arxiv")
```
I get the following stack trace:
```bash
JSONDecodeError Traceback (most recen... | false |
642,942,182 | https://api.github.com/repos/huggingface/datasets/issues/293 | https://github.com/huggingface/datasets/pull/293 | 293 | Don't test community datasets | closed | 0 | 2020-06-22T10:15:33 | 2020-06-22T11:07:00 | 2020-06-22T11:06:59 | lhoestq | [] | This PR disables testing for community datasets on aws.
It should fix the CI that is currently failing. | true |
642,897,797 | https://api.github.com/repos/huggingface/datasets/issues/292 | https://github.com/huggingface/datasets/pull/292 | 292 | Update metadata for x_stance dataset | closed | 3 | 2020-06-22T09:13:26 | 2020-06-23T08:07:24 | 2020-06-23T08:07:24 | jvamvas | [] | Thank you for featuring the x_stance dataset in your library. This PR updates some metadata:
- Citation: Replace preprint with proceedings
- URL: Use a URL with long-term availability
| true |
642,688,450 | https://api.github.com/repos/huggingface/datasets/issues/291 | https://github.com/huggingface/datasets/pull/291 | 291 | break statement not required | closed | 3 | 2020-06-22T01:40:55 | 2020-06-23T17:57:58 | 2020-06-23T09:37:02 | mayurnewase | [] | true | |
641,978,286 | https://api.github.com/repos/huggingface/datasets/issues/290 | https://github.com/huggingface/datasets/issues/290 | 290 | ConnectionError - Eli5 dataset download | closed | 2 | 2020-06-19T13:40:33 | 2020-06-20T13:22:24 | 2020-06-20T13:22:24 | JovanNj | [] | Hi, I have a problem with downloading Eli5 dataset. When typing `nlp.load_dataset('eli5')`, I get ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/eli5/LFQA_reddit/1.0.0/explain_like_im_five-train_eli5.arrow
I would appreciate if you could help me with this issue. | false |
641,934,194 | https://api.github.com/repos/huggingface/datasets/issues/289 | https://github.com/huggingface/datasets/pull/289 | 289 | update xsum | closed | 3 | 2020-06-19T12:28:32 | 2020-06-22T13:27:26 | 2020-06-22T07:20:07 | mariamabarham | [] | This PR makes the following update to the xsum dataset:
- Manual download is not required anymore
- dataset can be loaded as follow: `nlp.load_dataset('xsum')`
**Important**
Instead of using on outdated url to download the data: "https://raw.githubusercontent.com/EdinburghNLP/XSum/master/XSum-Dataset/XSum... | true |
641,888,610 | https://api.github.com/repos/huggingface/datasets/issues/288 | https://github.com/huggingface/datasets/issues/288 | 288 | Error at the first example in README: AttributeError: module 'dill' has no attribute '_dill' | closed | 5 | 2020-06-19T11:01:22 | 2020-06-21T09:05:11 | 2020-06-21T09:05:11 | wutong8023 | [] | /Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:469: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/Users/... | false |
641,800,227 | https://api.github.com/repos/huggingface/datasets/issues/287 | https://github.com/huggingface/datasets/pull/287 | 287 | fix squad_v2 metric | closed | 0 | 2020-06-19T08:24:46 | 2020-06-19T08:33:43 | 2020-06-19T08:33:41 | lhoestq | [] | Fix #280
The imports were wrong | true |
641,585,758 | https://api.github.com/repos/huggingface/datasets/issues/286 | https://github.com/huggingface/datasets/pull/286 | 286 | Add ANLI dataset. | closed | 1 | 2020-06-18T22:27:30 | 2020-06-22T12:23:27 | 2020-06-22T12:23:27 | easonnie | [] | I completed all the steps in https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset and push the code for ANLI. Please let me know if there are any errors. | true |
641,360,702 | https://api.github.com/repos/huggingface/datasets/issues/285 | https://github.com/huggingface/datasets/pull/285 | 285 | Consistent formatting of citations | closed | 1 | 2020-06-18T16:25:23 | 2020-06-22T08:09:25 | 2020-06-22T08:09:24 | mariamabarham | [] | #283 | true |
641,337,217 | https://api.github.com/repos/huggingface/datasets/issues/284 | https://github.com/huggingface/datasets/pull/284 | 284 | Fix manual download instructions | closed | 5 | 2020-06-18T15:59:57 | 2020-06-19T08:24:21 | 2020-06-19T08:24:19 | patrickvonplaten | [] | This PR replaces the static `DatasetBulider` variable `MANUAL_DOWNLOAD_INSTRUCTIONS` by a property function `manual_download_instructions()`.
Some datasets like XTREME and all WMT need the manual data dir only for a small fraction of the possible configs.
After some brainstorming with @mariamabarham and @lhoestq... | true |
641,270,439 | https://api.github.com/repos/huggingface/datasets/issues/283 | https://github.com/huggingface/datasets/issues/283 | 283 | Consistent formatting of citations | closed | 0 | 2020-06-18T14:48:45 | 2020-06-22T17:30:46 | 2020-06-22T17:30:46 | srush | [] | The citations are all of a different format, some have "```" and have text inside, others are proper bibtex.
Can we make it so that they all are proper citations, i.e. parse by the bibtex spec:
https://bibtexparser.readthedocs.io/en/master/ | false |
641,217,759 | https://api.github.com/repos/huggingface/datasets/issues/282 | https://github.com/huggingface/datasets/pull/282 | 282 | Update dataset_info from gcs | closed | 0 | 2020-06-18T13:41:15 | 2020-06-18T16:24:52 | 2020-06-18T16:24:51 | lhoestq | [] | Some datasets are hosted on gcs (wikipedia for example). In this PR I make sure that, when a user loads such datasets, the file_instructions are built using the dataset_info.json from gcs and not from the info extracted from the local `dataset_infos.json` (the one that contain the info for each config). Indeed local fi... | true |
641,067,856 | https://api.github.com/repos/huggingface/datasets/issues/281 | https://github.com/huggingface/datasets/issues/281 | 281 | Private/sensitive data | closed | 3 | 2020-06-18T09:47:27 | 2020-06-20T13:15:12 | 2020-06-20T13:15:12 | MFreidank | [] | Hi all,
Thanks for this fantastic library, it makes it very easy to do prototyping for NLP projects interchangeably between TF/Pytorch.
Unfortunately, there is data that cannot easily be shared publicly as it may contain sensitive information.
Is there support/a plan to support such data with NLP, e.g. by readin... | false |
640,677,615 | https://api.github.com/repos/huggingface/datasets/issues/280 | https://github.com/huggingface/datasets/issues/280 | 280 | Error with SquadV2 Metrics | closed | 0 | 2020-06-17T19:10:54 | 2020-06-19T08:33:41 | 2020-06-19T08:33:41 | avinregmi | [] | I can't seem to import squad v2 metrics.
**squad_metric = nlp.load_metric('squad_v2')**
**This throws me an error.:**
```
ImportError Traceback (most recent call last)
<ipython-input-8-170b6a170555> in <module>
----> 1 squad_metric = nlp.load_metric('squad_v2')
~/env/lib6... | false |
640,611,692 | https://api.github.com/repos/huggingface/datasets/issues/279 | https://github.com/huggingface/datasets/issues/279 | 279 | Dataset Preprocessing Cache with .map() function not working as expected | closed | 5 | 2020-06-17T17:17:21 | 2021-07-06T21:43:28 | 2021-04-18T23:43:49 | sarahwie | [] | I've been having issues with reproducibility when loading and processing datasets with the `.map` function. I was only able to resolve them by clearing all of the cache files on my system.
Is there a way to disable using the cache when processing a dataset? As I make minor processing changes on the same dataset, I ... | false |
640,518,917 | https://api.github.com/repos/huggingface/datasets/issues/278 | https://github.com/huggingface/datasets/issues/278 | 278 | MemoryError when loading German Wikipedia | closed | 7 | 2020-06-17T15:06:21 | 2020-06-19T12:53:02 | 2020-06-19T12:53:02 | gregburman | [] | Hi, first off let me say thank you for all the awesome work you're doing at Hugging Face across all your projects (NLP, Transformers, Tokenizers) - they're all amazing contributions to us working with NLP models :)
I'm trying to download the German Wikipedia dataset as follows:
```
wiki = nlp.load_dataset("wikip... | false |
640,163,053 | https://api.github.com/repos/huggingface/datasets/issues/277 | https://github.com/huggingface/datasets/issues/277 | 277 | Empty samples in glue/qqp | closed | 2 | 2020-06-17T05:54:52 | 2020-06-21T00:21:45 | 2020-06-21T00:21:45 | richarddwang | [] | ```
qqp = nlp.load_dataset('glue', 'qqp')
print(qqp['train'][310121])
print(qqp['train'][362225])
```
```
{'question1': 'How can I create an Android app?', 'question2': '', 'label': 0, 'idx': 310137}
{'question1': 'How can I develop android app?', 'question2': '', 'label': 0, 'idx': 362246}
```
Notice that que... | false |
639,490,858 | https://api.github.com/repos/huggingface/datasets/issues/276 | https://github.com/huggingface/datasets/pull/276 | 276 | Fix metric compute (original_instructions missing) | closed | 2 | 2020-06-16T08:52:01 | 2020-06-18T07:41:45 | 2020-06-18T07:41:44 | lhoestq | [] | When loading arrow data we added in cc8d250 a way to specify the instructions that were used to store them with the loaded dataset.
However metrics load data the same way but don't need instructions (we use one single file).
In this PR I just make `original_instructions` optional when reading files to load a `Datas... | true |
639,439,052 | https://api.github.com/repos/huggingface/datasets/issues/275 | https://github.com/huggingface/datasets/issues/275 | 275 | NonMatchingChecksumError when loading pubmed dataset | closed | 1 | 2020-06-16T07:31:51 | 2020-06-19T07:37:07 | 2020-06-19T07:37:07 | DavideStenner | [
"dataset bug"
] | I get this error when i run `nlp.load_dataset('scientific_papers', 'pubmed', split = 'train[:50%]')`.
The error is:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-2-7742dea167d0> in <module... | false |
639,156,625 | https://api.github.com/repos/huggingface/datasets/issues/274 | https://github.com/huggingface/datasets/issues/274 | 274 | PG-19 | closed | 4 | 2020-06-15T21:02:26 | 2020-07-06T15:35:02 | 2020-07-06T15:35:02 | lucidrains | [
"dataset request"
] | Hi, and thanks for all your open-sourced work, as always!
I was wondering if you would be open to adding PG-19 to your collection of datasets. https://github.com/deepmind/pg19 It is often used for benchmarking long-range language modeling. | false |
638,968,054 | https://api.github.com/repos/huggingface/datasets/issues/273 | https://github.com/huggingface/datasets/pull/273 | 273 | update cos_e to add cos_e v1.0 | closed | 0 | 2020-06-15T16:03:22 | 2020-06-16T08:25:54 | 2020-06-16T08:25:52 | mariamabarham | [] | This PR updates the cos_e dataset to add v1.0 as requested here #163
@nazneenrajani | true |
638,307,313 | https://api.github.com/repos/huggingface/datasets/issues/272 | https://github.com/huggingface/datasets/pull/272 | 272 | asd | closed | 0 | 2020-06-14T08:20:38 | 2020-06-14T09:16:41 | 2020-06-14T09:16:41 | sn696 | [] | true | |
638,135,754 | https://api.github.com/repos/huggingface/datasets/issues/271 | https://github.com/huggingface/datasets/pull/271 | 271 | Fix allociné dataset configuration | closed | 6 | 2020-06-13T10:12:10 | 2020-06-18T07:41:21 | 2020-06-18T07:41:20 | TheophileBlard | [] | This is a patch for #244. According to the [live nlp viewer](url), the Allociné dataset must be loaded with :
```python
dataset = load_dataset('allocine', 'allocine')
```
This is redundant, as there is only one "dataset configuration", and should only be:
```python
dataset = load_dataset('allocine')
```
This ... | true |
638,121,617 | https://api.github.com/repos/huggingface/datasets/issues/270 | https://github.com/huggingface/datasets/issues/270 | 270 | c4 dataset is not viewable in nlpviewer demo | closed | 1 | 2020-06-13T08:26:16 | 2020-10-27T15:35:29 | 2020-10-27T15:35:13 | rajarsheem | [
"nlp-viewer"
] | I get the following error when I try to view the c4 dataset in [nlpviewer](https://huggingface.co/nlp/viewer/)
```python
ModuleNotFoundError: No module named 'langdetect'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__d... | false |
638,106,774 | https://api.github.com/repos/huggingface/datasets/issues/269 | https://github.com/huggingface/datasets/issues/269 | 269 | Error in metric.compute: missing `original_instructions` argument | closed | 0 | 2020-06-13T06:26:54 | 2020-06-18T07:41:44 | 2020-06-18T07:41:44 | zphang | [
"metric bug"
] | I'm running into an error using metrics for computation in the latest master as well as version 0.2.1. Here is a minimal example:
```python
import nlp
rte_metric = nlp.load_metric('glue', name="rte")
rte_metric.compute(
[0, 0, 1, 1],
[0, 1, 0, 1],
)
```
```
181 # Read the predictio... | false |
637,848,056 | https://api.github.com/repos/huggingface/datasets/issues/268 | https://github.com/huggingface/datasets/pull/268 | 268 | add Rotten Tomatoes Movie Review sentences sentiment dataset | closed | 1 | 2020-06-12T15:53:59 | 2020-06-18T07:46:24 | 2020-06-18T07:46:23 | jxmorris12 | [] | Sentence-level movie reviews v1.0 from here: http://www.cs.cornell.edu/people/pabo/movie-review-data/ | true |
637,415,545 | https://api.github.com/repos/huggingface/datasets/issues/267 | https://github.com/huggingface/datasets/issues/267 | 267 | How can I load/find WMT en-romanian? | closed | 1 | 2020-06-12T01:09:37 | 2020-06-19T08:24:19 | 2020-06-19T08:24:19 | sshleifer | [] | I believe it is from `wmt16`
When I run
```python
wmt = nlp.load_dataset('wmt16')
```
I get:
```python
AssertionError: The dataset wmt16 with config cs-en requires manual data.
Please follow the manual download instructions: Some of the wmt configs here, require a manual download.
Please look into wm... | false |
637,156,392 | https://api.github.com/repos/huggingface/datasets/issues/266 | https://github.com/huggingface/datasets/pull/266 | 266 | Add sort, shuffle, test_train_split and select methods | closed | 4 | 2020-06-11T16:22:20 | 2020-06-18T16:23:25 | 2020-06-18T16:23:24 | thomwolf | [] | Add a bunch of methods to reorder/split/select rows in a dataset:
- `dataset.select(indices)`: Create a new dataset with rows selected following the list/array of indices (which can have a different size than the dataset and contain duplicated indices, the only constrain is that all the integers in the list must be sm... | true |
637,139,220 | https://api.github.com/repos/huggingface/datasets/issues/265 | https://github.com/huggingface/datasets/pull/265 | 265 | Add pyarrow warning colab | closed | 0 | 2020-06-11T15:57:51 | 2020-08-02T18:14:36 | 2020-06-12T08:14:16 | lhoestq | [] | When a user installs `nlp` on google colab, then google colab doesn't update pyarrow, and the runtime needs to be restarted to use the updated version of pyarrow.
This is an issue because `nlp` requires the updated version to work correctly.
In this PR I added en error that is shown to the user in google colab if... | true |
637,106,170 | https://api.github.com/repos/huggingface/datasets/issues/264 | https://github.com/huggingface/datasets/pull/264 | 264 | Fix small issues creating dataset | closed | 0 | 2020-06-11T15:20:16 | 2020-06-12T08:15:57 | 2020-06-12T08:15:56 | lhoestq | [] | Fix many small issues mentioned in #249:
- don't force to install apache beam for commands
- fix None cache dir when using `dl_manager.download_custom`
- added new extras in `setup.py` named `dev` that contains tests and quality dependencies
- mock dataset sizes when running tests with dummy data
- add a note abou... | true |
637,028,015 | https://api.github.com/repos/huggingface/datasets/issues/263 | https://github.com/huggingface/datasets/issues/263 | 263 | [Feature request] Support for external modality for language datasets | closed | 5 | 2020-06-11T13:42:18 | 2022-02-10T13:26:35 | 2022-02-10T13:26:35 | aleSuglia | [
"enhancement",
"generic discussion"
] | # Background
In recent years many researchers have advocated that learning meanings from text-based only datasets is just like asking a human to "learn to speak by listening to the radio" [[E. Bender and A. Koller,2020](https://openreview.net/forum?id=GKTvAcb12b), [Y. Bisk et. al, 2020](https://arxiv.org/abs/2004.10... | false |
636,702,849 | https://api.github.com/repos/huggingface/datasets/issues/262 | https://github.com/huggingface/datasets/pull/262 | 262 | Add new dataset ANLI Round 1 | closed | 1 | 2020-06-11T04:14:57 | 2020-06-12T22:03:03 | 2020-06-12T22:03:03 | easonnie | [] | Adding new dataset [ANLI](https://github.com/facebookresearch/anli/).
I'm not familiar with how to add new dataset. Let me know if there is any issue. I only include round 1 data here. There will be round 2, round 3 and more in the future with potentially different format. I think it will be better to separate them. | true |
636,372,380 | https://api.github.com/repos/huggingface/datasets/issues/261 | https://github.com/huggingface/datasets/issues/261 | 261 | Downloading dataset error with pyarrow.lib.RecordBatch | closed | 2 | 2020-06-10T16:04:19 | 2020-06-11T14:35:12 | 2020-06-11T14:35:12 | cuent | [] | I am trying to download `sentiment140` and I have the following error
```
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=... | false |
636,261,118 | https://api.github.com/repos/huggingface/datasets/issues/260 | https://github.com/huggingface/datasets/pull/260 | 260 | Consistency fixes | closed | 0 | 2020-06-10T13:44:42 | 2020-06-11T10:34:37 | 2020-06-11T10:34:36 | julien-c | [] | A few bugs I've found while hacking | true |
636,239,529 | https://api.github.com/repos/huggingface/datasets/issues/259 | https://github.com/huggingface/datasets/issues/259 | 259 | documentation missing how to split a dataset | closed | 7 | 2020-06-10T13:18:13 | 2023-03-14T13:56:07 | 2020-06-18T22:20:24 | fotisj | [] | I am trying to understand how to split a dataset ( as arrow_dataset).
I know I can do something like this to access a split which is already in the original dataset :
`ds_test = nlp.load_dataset('imdb, split='test') `
But how can I split ds_test into a test and a validation set (without reading the data into m... | false |
635,859,525 | https://api.github.com/repos/huggingface/datasets/issues/258 | https://github.com/huggingface/datasets/issues/258 | 258 | Why is dataset after tokenization far more larger than the orginal one ? | closed | 4 | 2020-06-10T01:27:07 | 2020-06-10T12:46:34 | 2020-06-10T12:46:34 | richarddwang | [] | I tokenize wiki dataset by `map` and cache the results.
```
def tokenize_tfm(example):
example['input_ids'] = hf_fast_tokenizer.convert_tokens_to_ids(hf_fast_tokenizer.tokenize(example['text']))
return example
wiki = nlp.load_dataset('wikipedia', '20200501.en', cache_dir=cache_dir)['train']
wiki.map(token... | false |
635,620,979 | https://api.github.com/repos/huggingface/datasets/issues/257 | https://github.com/huggingface/datasets/issues/257 | 257 | Tokenizer pickling issue fix not landed in `nlp` yet? | closed | 2 | 2020-06-09T17:12:34 | 2020-06-10T21:45:32 | 2020-06-09T17:26:53 | sarahwie | [] | Unless I recreate an arrow_dataset from my loaded nlp dataset myself (which I think does not use the cache by default), I get the following error when applying the map function:
```
dataset = nlp.load_dataset('cos_e')
tokenizer = GPT2TokenizerFast.from_pretrained('gpt2', cache_dir=cache_dir)
for split in datase... | false |
635,596,295 | https://api.github.com/repos/huggingface/datasets/issues/256 | https://github.com/huggingface/datasets/issues/256 | 256 | [Feature request] Add a feature to dataset | closed | 5 | 2020-06-09T16:38:12 | 2020-06-09T16:51:42 | 2020-06-09T16:51:42 | sarahwie | [] | Is there a straightforward way to add a field to the arrow_dataset, prior to performing map? | false |
635,300,822 | https://api.github.com/repos/huggingface/datasets/issues/255 | https://github.com/huggingface/datasets/pull/255 | 255 | Add dataset/piaf | closed | 1 | 2020-06-09T10:16:01 | 2020-06-12T08:31:27 | 2020-06-12T08:31:27 | RachelKer | [] | Small SQuAD-like French QA dataset [PIAF](https://www.aclweb.org/anthology/2020.lrec-1.673.pdf) | true |
635,057,568 | https://api.github.com/repos/huggingface/datasets/issues/254 | https://github.com/huggingface/datasets/issues/254 | 254 | [Feature request] Be able to remove a specific sample of the dataset | closed | 1 | 2020-06-09T02:22:13 | 2020-06-09T08:41:38 | 2020-06-09T08:41:38 | astariul | [] | As mentioned in #117, it's currently not possible to remove a sample of the dataset.
But it is a important use case : After applying some preprocessing, some samples might be empty for example. We should be able to remove these samples from the dataset, or at least mark them as `removed` so when iterating the datase... | false |
634,791,939 | https://api.github.com/repos/huggingface/datasets/issues/253 | https://github.com/huggingface/datasets/pull/253 | 253 | add flue dataset | closed | 10 | 2020-06-08T17:11:09 | 2023-09-24T09:46:03 | 2020-07-16T07:50:59 | mariamabarham | [] | This PR add the Flue dataset as requested in this issue #223 . @lbourdois made a detailed description in that issue.
| true |
634,563,239 | https://api.github.com/repos/huggingface/datasets/issues/252 | https://github.com/huggingface/datasets/issues/252 | 252 | NonMatchingSplitsSizesError error when reading the IMDB dataset | closed | 4 | 2020-06-08T12:26:24 | 2021-08-27T15:20:58 | 2020-06-08T14:01:26 | antmarakis | [] | Hi!
I am trying to load the `imdb` dataset with this line:
`dataset = nlp.load_dataset('imdb', data_dir='/A/PATH', cache_dir='/A/PATH')`
but I am getting the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/mounts/Users/cisintern/antmarakis/anaconda3/... | false |
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