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https://github.com/huggingface/datasets/pull/371 | 371 | Fix cached file path for metrics with different config names | {
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"Thanks for the fast fix!"
] | 2020-07-10T10:02:24Z | 2020-07-10T13:45:22Z | 2020-07-10T13:45:20Z | MEMBER | false | {
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It should fix #368 | {
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https://github.com/huggingface/datasets/pull/370 | 370 | Allow indexing Dataset via np.ndarray | {
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"Looks like a flaky CI, failed download from S3."
] | 2020-07-09T19:43:15Z | 2020-07-10T14:05:44Z | 2020-07-10T14:05:43Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/369 | 369 | can't load local dataset: pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries | {
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"I am able to reproduce this with the official SQuAD `train-v2.0.json` file downloaded directly from https://rajpurkar.github.io/SQuAD-explorer/",
"I am facing this issue in transformers library 3.0.2 while reading a csv using datasets.\r\nIs this fixed in latest version? \r\nI updated the latest version 4.0.1 bu... | 2020-07-09T16:16:53Z | 2020-12-15T23:07:22Z | 2020-07-10T14:52:06Z | CONTRIBUTOR | null | null | Trying to load a local SQuAD-formatted dataset (from a JSON file, about 60MB):
```
dataset = nlp.load_dataset(path='json', data_files={nlp.Split.TRAIN: ["./path/to/file.json"]})
```
causes
```
Traceback (most recent call last):
File "dataloader.py", line 9, in <module>
["./path/to/file.json"]})
File "/... | {
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https://github.com/huggingface/datasets/issues/368 | 368 | load_metric can't acquire lock anymore | {
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"I found that, in the same process (or the same interactive session), if I do\r\n\r\nimport nlp\r\n\r\nm1 = nlp.load_metric('glue', 'mrpc')\r\nm2 = nlp.load_metric('glue', 'sst2')\r\n\r\nI will get the same error `ValueError: Cannot acquire lock, caching file might be used by another process, you should setup a uni... | 2020-07-09T14:04:09Z | 2020-07-10T13:45:20Z | 2020-07-10T13:45:20Z | NONE | null | null | I can't load metric (glue) anymore after an error in a previous run. I even removed the whole cache folder `/home/XXX/.cache/huggingface/`, and the issue persisted. What are the steps to fix this?
Traceback (most recent call last):
File "/home/XXX/miniconda3/envs/ML-DL-py-3.7/lib/python3.7/site-packages/n... | {
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https://github.com/huggingface/datasets/pull/367 | 367 | Update Xtreme to add PAWS-X es | {
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https://github.com/huggingface/datasets/pull/366 | 366 | Add quora dataset | {
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"Tests seem to be failing because of pandas",
"Kaggle needs authentification to download datasets. We don't have a way to handle that in the lib for now"
] | 2020-07-09T10:34:22Z | 2020-07-13T17:35:21Z | 2020-07-13T17:35:21Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/366... | Added the [Quora question pairs dataset](https://www.quora.com/q/quoradata/First-Quora-Dataset-Release-Question-Pairs).
Implementation Notes:
- I used the original version provided on the quora website. There's also a [Kaggle competition](https://www.kaggle.com/c/quora-question-pairs) which has a nice train/test sp... | {
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https://github.com/huggingface/datasets/issues/365 | 365 | How to augment data ? | {
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"Using batched map is probably the easiest way at the moment.\r\nWhat kind of augmentation would you like to do ?",
"Some samples in the dataset are too long, I want to divide them in several samples.",
"Using batched map is the way to go then.\r\nWe'll make it clearer in the docs that map could be used for aug... | 2020-07-09T07:52:37Z | 2020-07-10T09:12:07Z | 2020-07-10T08:22:15Z | NONE | null | null | Is there any clean way to augment data ?
For now my work-around is to use batched map, like this :
```python
def aug(samples):
# Simply copy the existing data to have x2 amount of data
for k, v in samples.items():
samples[k].extend(v)
return samples
dataset = dataset.map(aug, batched=T... | {
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https://github.com/huggingface/datasets/pull/364 | 364 | add MS MARCO dataset | {
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"The dummy data for v2.1 is missing as far as I can see. I think running the dummy data command should work correctly here. ",
"Also, it might be that the structure of the dummy data is wrong - looking at `generate_examples` the structure does not look too easy.",
"The fact that the dummy data for v2.1 is miss... | 2020-07-09T07:11:19Z | 2020-08-06T06:15:49Z | 2020-08-06T06:15:48Z | CONTRIBUTOR | false | {
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- Passage and Document Retrieval
- Keyphrase Extraction
- QA and NLG
This PR only adds the 2 versions of the QA and NLG task dataset which was realeased with the original paper here https://arxiv.org/pd... | {
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https://github.com/huggingface/datasets/pull/363 | 363 | Adding support for generic multi dimensional tensors and auxillary image data for multimodal datasets | {
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"Thank you! I just marked this as a draft PR. It probably would be better to create specific Array2D and Array3D classes as needed instead of a generic MultiArray for now, it should simplify the code a lot too so, I'll update it as such. Also i was meaning to reply earlier, but I wanted to thank you for the testing... | 2020-07-09T07:10:30Z | 2020-08-24T09:59:35Z | 2020-08-24T09:59:35Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/363... | nlp/features.py:
The main factory class is MultiArray, every single time this class is called, a corresponding pyarrow extension array and type class is generated (and added to the list of globals for future use) for a given root data type and set of dimensions/shape. I provide examples on working with this in datas... | {
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https://github.com/huggingface/datasets/issues/362 | 362 | [dateset subset missing] xtreme paws-x | {
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"You're right, thanks for pointing it out. We will update it "
] | 2020-07-09T05:04:54Z | 2020-07-09T12:38:42Z | 2020-07-09T12:38:42Z | CONTRIBUTOR | null | null | I tried nlp.load_dataset('xtreme', 'PAWS-X.es') but get the value error
It turns out that the subset for Spanish is missing
https://github.com/google-research-datasets/paws/tree/master/pawsx | {
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https://github.com/huggingface/datasets/issues/361 | 361 | 🐛 [Metrics] ROUGE is non-deterministic | {
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"Hi, can you give a full self-contained example to reproduce this behavior?",
"> Hi, can you give a full self-contained example to reproduce this behavior?\r\n\r\nThere is a notebook in the post ;)",
"> If I run the ROUGE metric 2 times, with same predictions / references, the scores are slightly different.\r\n... | 2020-07-09T04:39:37Z | 2022-09-09T15:20:55Z | 2020-07-20T23:48:37Z | NONE | null | null | If I run the ROUGE metric 2 times, with same predictions / references, the scores are slightly different.
Refer to [this Colab notebook](https://colab.research.google.com/drive/1wRssNXgb9ldcp4ulwj-hMJn0ywhDOiDy?usp=sharing) for reproducing the problem.
Example of F-score for ROUGE-1, ROUGE-2, ROUGE-L in 2 differe... | {
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https://github.com/huggingface/datasets/issues/360 | 360 | [Feature request] Add dataset.ragged_map() function for many-to-many transformations | {
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"Actually `map(batched=True)` can already change the size of the dataset.\r\nIt can accept examples of length `N` and returns a batch of length `M` (can be null or greater than `N`).\r\n\r\nI'll make that explicit in the doc that I'm currently writing.",
"You're two steps ahead of me :) In my testing, it also wor... | 2020-07-09T01:04:43Z | 2020-07-09T19:31:51Z | 2020-07-09T19:31:51Z | CONTRIBUTOR | null | null | `dataset.map()` enables one-to-one transformations. Input one example and output one example. This is helpful for tokenizing and cleaning individual lines.
`dataset.filter()` enables one-to-(one-or-none) transformations. Input one example and output either zero/one example. This is helpful for removing portions from t... | {
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https://github.com/huggingface/datasets/issues/359 | 359 | ArrowBasedBuilder _prepare_split parse_schema breaks on nested structures | {
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"Hi, it depends on what it is in your `dataset_builder.py` file. Can you share it?\r\n\r\nIf you are just loading `json` files, you can also directly use the `json` script (which will find the schema/features from your JSON structure):\r\n\r\n```python\r\nfrom nlp import load_dataset\r\nds = load_dataset(\"json\", ... | 2020-07-08T23:24:05Z | 2020-07-10T14:52:06Z | 2020-07-10T14:52:06Z | NONE | null | null | I tried using the Json dataloader to load some JSON lines files. but get an exception in the parse_schema function.
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-23-9aecfbee53bd> in <mo... | {
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https://github.com/huggingface/datasets/pull/358 | 358 | Starting to add some real doc | {
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"Ok this is starting to be really big so it's probably good to merge this first version of the doc and continue in another PR :)\r\n\r\nThis first version of the doc can be explored here: https://2219-250213286-gh.circle-artifacts.com/0/docs/_build/html/index.html"
] | 2020-07-08T22:53:03Z | 2020-07-14T09:58:17Z | 2020-07-14T09:58:15Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/358... | Adding a lot of documentation for:
- load a dataset
- explore the dataset object
- process data with the dataset
- add a new dataset script
- share a dataset script
- full package reference
This version of the doc can be explored here: https://2219-250213286-gh.circle-artifacts.com/0/docs/_build/html/index.htm... | {
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https://github.com/huggingface/datasets/pull/357 | 357 | Add hashes to cnn_dailymail | {
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"Looks you to me :)\r\n\r\nCould you also update the json file that goes with the dataset script by doing \r\n```\r\nnlp-cli test ./datasets/cnn_dailymail --save_infos --all_configs\r\n```\r\nIt will update the features metadata and the size of the dataset with your changes.",
"@lhoestq I ran that command.\r\n\r\... | 2020-07-08T22:45:21Z | 2020-07-13T14:16:38Z | 2020-07-13T14:16:38Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/356 | 356 | Add text dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/356... | Usage:
```python
from nlp import load_dataset
dset = load_dataset("text", data_files="/path/to/file.txt")["train"]
```
I created a dummy_data.zip which contains three files: `train.txt`, `test.txt`, `dev.txt`. Each of these contains two lines. It passes
```bash
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https://github.com/huggingface/datasets/issues/355 | 355 | can't load SNLI dataset | {
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"I just added the processed files of `snli` on our google storage, so that when you do `load_dataset` it can download the processed files from there :)\r\n\r\nWe are thinking about having available those processed files for more datasets in the future, because sometimes files aren't available (like for `snli`), or ... | 2020-07-08T16:54:14Z | 2020-07-18T05:15:57Z | 2020-07-15T07:59:01Z | CONTRIBUTOR | null | null | `nlp` seems to load `snli` from some URL based on nlp.stanford.edu. This subdomain is frequently down -- including right now, when I'd like to load `snli` in a Colab notebook, but can't.
Is there a plan to move these datasets to huggingface servers for a more stable solution?
Btw, here's the stack trace:
```
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https://github.com/huggingface/datasets/pull/354 | 354 | More faiss control | {
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"> Ok, so we're getting rid of the `FaissGpuOptions`?\r\n\r\nWe support `device=...` because it's simple, but faiss GPU options can be used in so many ways (you can set different gpu options for the different parts of your index for example) that it's probably better to let the user create and configure its index a... | 2020-07-08T14:45:20Z | 2020-07-09T09:54:54Z | 2020-07-09T09:54:51Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/353 | 353 | [Dataset requests] New datasets for Text Classification | {
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"Pinging @mariamabarham as well",
"- `nlp` has MR! It's called `rotten_tomatoes`\r\n- SST is part of GLUE, or is that just SST-2?\r\n- `nlp` also has `ag_news`, a popular news classification dataset\r\n\r\nI'd also like to see:\r\n- the Yahoo Answers topic classification dataset\r\n- the Kaggle Fake News classifi... | 2020-07-08T12:17:58Z | 2025-04-05T09:28:15Z | null | MEMBER | null | null | We are missing a few datasets for Text Classification which is an important field.
Namely, it would be really nice to add:
- [x] TREC-6 dataset (see here for instance: https://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.datasets.html#torchnlp.datasets.trec_dataset) **[done]**
- #386
- [x] Yelp-5
- #... | null | {
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https://github.com/huggingface/datasets/pull/352 | 352 | 🐛[BugFix]fix seqeval | {
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"I think this is good but can you detail a bit the behavior before and after your fix?",
"examples:\r\n\r\ninput: `['B', 'I', 'I', 'O', 'B', 'I']`\r\nbefore: `[('B', 0, 0), ('I', 1, 2), ('B', 4, 4), ('I', 5, 5)]`\r\nafter: `[('_', 0, 2), ('_', 4, 5)]`\r\n\r\ninput: `['B-ARGM-LOC', 'I-ARGM-LOC', 'I-ARGM-LOC', 'O',... | 2020-07-08T09:12:12Z | 2020-07-16T08:26:46Z | 2020-07-16T08:26:46Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/351 | 351 | add pandas dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/351... | Create a dataset from serialized pandas dataframes.
Usage:
```python
from nlp import load_dataset
dset = load_dataset("pandas", data_files="df.pkl")["train"]
``` | {
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https://github.com/huggingface/datasets/pull/350 | 350 | add from_pandas and from_dict | {
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- `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... | {
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https://github.com/huggingface/datasets/pull/349 | 349 | Hyperpartisan news detection | {
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"Thank you so much for working on this! This is awesome!\r\n\r\nHow much would it help you if we would remove the manual request?\r\n\r\nWe are naturally interested in getting some broad idea of how many people and who are using our dataset. But if you consider hosting the dataset yourself, I would rather remove th... | 2020-07-07T11:06:37Z | 2020-07-07T20:47:27Z | 2020-07-07T14:57:11Z | CONTRIBUTOR | false | {
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Implementation notes:
- As with many PAN tasks, the data is hosted on [Zenodo](https://zenodo.org/record/1489920) and must be requested before... | {
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https://github.com/huggingface/datasets/pull/348 | 348 | Add OSCAR dataset | {
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"@pjox I think the tests don't pass because you haven't provided any dummy data (`dummy_data.zip`).\r\n\r\n ",
"> @pjox I think the tests don't pass because you haven't provided any dummy data (`dummy_data.zip`).\r\n\r\nBut can I do the dummy data without running `python nlp-cli test datasets/<your-dataset-folder... | 2020-07-07T09:22:07Z | 2021-05-03T22:07:08Z | 2021-02-09T10:19:19Z | CONTRIBUTOR | false | {
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} | 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! | {
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https://github.com/huggingface/datasets/issues/347 | 347 | 'cp950' codec error from load_dataset('xtreme', 'tydiqa') | {
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"This is probably a Windows issue, we need to specify the encoding when `load_dataset()` reads the original CSV file.\r\nTry to find the `open()` statement called by `load_dataset()` and add an `encoding='utf-8'` parameter.\r\nSee issues #242 and #307 ",
"It should be in `xtreme.py:L755`:\r\n```python\r\n ... | 2020-07-07T08:14:23Z | 2020-09-07T14:51:45Z | 2020-09-07T14:51:45Z | CONTRIBUTOR | null | null | 
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... | {
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https://github.com/huggingface/datasets/pull/346 | 346 | Add emotion dataset | {
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"I've tried it and am getting the same error as you.\r\n\r\nYou could use the text files rather than the pickle:\r\n```\r\nhttps://www.dropbox.com/s/ikkqxfdbdec3fuj/test.txt\r\nhttps://www.dropbox.com/s/1pzkadrvffbqw6o/train.txt\r\nhttps://www.dropbox.com/s/2mzialpsgf9k5l3/val.txt\r\n```\r\n\r\nThen you would get a... | 2020-07-07T06:35:41Z | 2022-05-30T15:16:44Z | 2020-07-13T14:39:38Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/346... | 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... | {
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https://github.com/huggingface/datasets/issues/345 | 345 | Supporting documents in ELI5 | {
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"Hi @saverymax ! For licensing reasons, the original team was unable to release pre-processed CommonCrawl documents. Instead, they provided a script to re-create them from a CommonCrawl dump, but it unfortunately requires access to a medium-large size cluster:\r\nhttps://github.com/facebookresearch/ELI5#downloading... | 2020-07-06T19:14:13Z | 2020-10-27T15:38:45Z | 2020-10-27T15:38:45Z | NONE | null | null | 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 ... | {
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https://github.com/huggingface/datasets/pull/344 | 344 | Search qa | {
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"Could you rebase from master just to make sure we won't break anything for `fever` pls @mariamabarham ?"
] | 2020-07-06T12:23:16Z | 2020-07-16T08:58:16Z | 2020-07-16T08:58:16Z | CONTRIBUTOR | false | {
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} | 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 | {
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https://github.com/huggingface/datasets/pull/343 | 343 | Fix nested tensorflow format | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/343... | 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 ... | {
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https://github.com/huggingface/datasets/issues/342 | 342 | Features should be updated when `map()` changes schema | {
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"`dataset.column_names` are being updated but `dataset.features` aren't indeed..."
] | 2020-07-06T08:03:23Z | 2020-07-23T10:15:16Z | 2020-07-23T10:15:16Z | MEMBER | null | null | `dataset.map()` can change the schema and column names.
We should update the features in this case (with what is possible to infer). | {
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https://github.com/huggingface/datasets/pull/341 | 341 | add fever dataset | {
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#336 | {
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https://github.com/huggingface/datasets/pull/340 | 340 | Update cfq.py | {
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"Thanks @brainshawn for this update"
] | 2020-07-03T11:23:19Z | 2020-07-03T12:33:50Z | 2020-07-03T12:33:50Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/339 | 339 | Add dataset.export() to TFRecords | {
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"Really cool @jarednielsen !\r\nDo you think we can make it work with dataset with nested features like `squad` ?\r\n\r\nI just did a PR to fix `.set_format` for datasets with nested features, but as soon as it's merged we could try to make the conversion work on a dataset like `squad`.",
"For datasets with neste... | 2020-07-02T19:26:27Z | 2020-07-22T09:16:12Z | 2020-07-22T09:16:12Z | CONTRIBUTOR | false | {
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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... | {
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https://github.com/huggingface/datasets/pull/338 | 338 | Run `make style` | {
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https://github.com/huggingface/datasets/issues/337 | 337 | [Feature request] Export Arrow dataset to TFRecords | {
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"gists... | [] | closed | false | [] | 2020-07-02T15:47:12Z | 2020-07-22T09:16:12Z | 2020-07-22T09:16:12Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/336 | 336 | [Dataset requests] New datasets for Open Question Answering | {
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"default":... | closed | false | [] | 2020-07-02T13:03:03Z | 2020-07-16T09:04:22Z | 2020-07-16T09:04:22Z | MEMBER | null | null | 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.... | {
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https://github.com/huggingface/datasets/pull/335 | 335 | BioMRC Dataset presented in BioNLP 2020 ACL Workshop | {
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"I fixed the issues that you pointed out, re-run all the test and pushed the fixed code :-)",
"```\r\n=================================== FAILURES ===================================\r\n___________________ AWSDatasetTest.test_load_dataset_pandas ____________________\r\n\r\nself = <tests.test_dataset_common.AWSDat... | 2020-07-02T09:03:41Z | 2020-07-15T08:02:07Z | 2020-07-15T08:02:07Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/334 | 334 | Add dataset.shard() method | {
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"Great, done!"
] | 2020-07-02T06:05:19Z | 2020-07-06T12:35:36Z | 2020-07-06T12:35:36Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/334... | Fixes https://github.com/huggingface/nlp/issues/312 | {
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https://github.com/huggingface/datasets/pull/333 | 333 | fix variable name typo | {
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"Good catch :)\r\nI think there is another occurence that needs to be fixed in the second gist (line 4924 of the notebook file):\r\n```python\r\nbleu = nlp.load_metric(...)\r\n```",
"Was fixed in e16f79b5f7fc12a6a30c777722be46897a272e6f\r\nClosing it."
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https://github.com/huggingface/datasets/pull/332 | 332 | Add wiki_dpr | {
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"The two configurations don't have the same sizes, I may change that so that they both have 21015300 examples for convenience, even though it's supposed to have 21015324 examples in total.\r\n\r\nOne configuration only has 21015300 examples because it seems that the embeddings of the last 24 examples are missing.",... | 2020-07-01T17:12:00Z | 2020-07-06T12:21:17Z | 2020-07-06T12:21:16Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/332... | 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... | {
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https://github.com/huggingface/datasets/issues/331 | 331 | Loading CNN/Daily Mail dataset produces `nlp.utils.info_utils.NonMatchingSplitsSizesError` | {
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"I couldn't reproduce on my side.\r\nIt looks like you were not able to generate all the examples, and you have the problem for each split train-test-validation.\r\nCould you try to enable logging, try again and send the logs ?\r\n```python\r\nimport logging\r\nlogging.basicConfig(level=logging.INFO)\r\n```",
"he... | 2020-06-30T22:21:33Z | 2020-07-09T13:03:40Z | 2020-07-09T13:03:40Z | CONTRIBUTOR | null | null | ```
>>> 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... | {
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https://github.com/huggingface/datasets/pull/330 | 330 | Doc red | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/330... | 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 ... | {
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https://github.com/huggingface/datasets/issues/329 | 329 | [Bug] FileLock dependency incompatible with filesystem | {
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"Hi, can you give details on your environment/os/packages versions/etc?",
"Environment is Ubuntu 18.04, Python 3.7.5, nlp==0.3.0, filelock=3.0.12.\r\n\r\nThe external volume is Amazon FSx for Lustre, and it by default creates files with limited permissions. My working theory is that FileLock creates a lockfile th... | 2020-06-30T19:45:31Z | 2024-12-26T15:13:39Z | 2020-06-30T21:33:06Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/328 | 328 | Fork dataset | {
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"To be able to generate the Arrow dataset you need to either use our csv or json utilities `load_dataset(\"json\", data_files=my_json_files)` OR write your own custom dataset script (you can find some inspiration from the [squad](https://github.com/huggingface/nlp/blob/master/datasets/squad/squad.py) script for exa... | 2020-06-30T16:42:53Z | 2020-07-06T21:43:59Z | 2020-07-06T21:43:59Z | NONE | null | null | 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... | {
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https://github.com/huggingface/datasets/pull/327 | 327 | set seed for suffling tests | {
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https://github.com/huggingface/datasets/issues/326 | 326 | Large dataset in Squad2-format | {
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"I'm pretty sure you can get some inspiration from the squad_v2 script. It looks like the dataset is quite big so it will take some time for the users to generate it, but it should be reasonable.\r\n\r\nAlso you are saying that you are still making the dataset grow in size right ?\r\nIt's probably good practice to ... | 2020-06-30T12:18:59Z | 2020-07-09T09:01:50Z | 2020-07-09T09:01:50Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/pull/325 | 325 | Add SQuADShifts dataset | {
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"Very cool to have this dataset, thank you for adding it :)"
] | 2020-06-29T19:11:16Z | 2020-06-30T17:07:31Z | 2020-06-30T17:07:31Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/324 | 324 | Error when calculating glue score | {
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"The glue metric for cola is a metric for classification. It expects label ids as integers as inputs.",
"I want to evaluate a sentence pair whether they are semantically equivalent, so I used MRPC and it gives the same error, does that mean we have to encode the sentences and parse as input?\r\n\r\nusing BertToke... | 2020-06-29T16:53:48Z | 2020-07-09T09:13:34Z | 2020-07-09T09:13:34Z | NONE | null | null | 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)
```
```
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https://github.com/huggingface/datasets/pull/323 | 323 | Add package path to sys when downloading package as github archive | {
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"Sorry for the long diff, everything after the imports comes from `black` for code quality :/ ",
" I think it's fine and I can't think of another way to make the import work anyways.\r\n\r\nMaybe we can have the `sys.path` behavior inside `prepare_module` instead ? Currently it seems to come out of nowhere in the... | 2020-06-29T16:46:01Z | 2020-07-30T14:00:23Z | 2020-07-30T14:00:23Z | MEMBER | false | {
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} | 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... | {
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https://github.com/huggingface/datasets/pull/322 | 322 | output nested dict in get_nearest_examples | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/322... | 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... | {
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https://github.com/huggingface/datasets/issues/321 | 321 | ERROR:root:mwparserfromhell | {
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"It looks like it comes from `mwparserfromhell`.\r\n\r\nWould it be possible to get the bad `section` that causes this issue ? The `section` string is from `datasets/wikipedia.py:L548` ? You could just add a `try` statement and print the section if the line `section_text.append(section.strip_code().strip())` crashe... | 2020-06-29T11:10:43Z | 2022-02-14T15:21:46Z | 2022-02-14T15:21:46Z | NONE | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/320 | 320 | Blog Authorship Corpus, Non Matching Splits Sizes Error, nlp viewer | {
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"I wonder if this means downloading failed? That corpus has a really slow server.",
"This dataset seems to have a decoding problem that results in inconsistencies in the number of generated examples.\r\nSee #215.\r\nThat's why we end up with a `NonMatchingSplitsSizesError `."
] | 2020-06-29T07:36:35Z | 2020-06-29T14:44:42Z | 2020-06-29T14:44:42Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/319 | 319 | Nested sequences with dicts | {
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"Oh yes, this is a backward compatibility feature with tensorflow_dataset in which a `Sequence` or `dict` is converted in a `dict` of `lists`, unfortunately it is not very intuitive, see here: https://github.com/huggingface/nlp/blob/master/src/nlp/features.py#L409\r\n\r\nTo avoid this behavior, you can just define ... | 2020-06-27T23:45:17Z | 2020-07-03T10:22:00Z | 2020-07-03T10:22:00Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/pull/318 | 318 | Multitask | {
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"It's definitely going in the right direction ! Thanks for giving it a try\r\n\r\nI really like the API.\r\nIMO it's fine right now if we don't have all the dataset transforms (map, filter, etc.) as it can be done before building the multitask dataset, but it will be important to have them in the end.\r\nAll the fo... | 2020-06-27T13:27:29Z | 2022-07-06T15:19:57Z | 2022-07-06T15:19:57Z | CONTRIBUTOR | true | {
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} | 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... | {
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https://github.com/huggingface/datasets/issues/317 | 317 | Adding a dataset with multiple subtasks | {
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"For one dataset you can have different configurations that each have their own `nlp.Features`.\r\nWe imagine having one configuration per subtask for example.\r\nThey are loaded with `nlp.load_dataset(\"my_dataset\", \"my_config\")`.\r\n\r\nFor example the `glue` dataset has many configurations. It is a bit differ... | 2020-06-26T23:14:19Z | 2020-10-27T15:36:52Z | 2020-10-27T15:36:52Z | NONE | null | null | 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... | {
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https://github.com/huggingface/datasets/pull/316 | 316 | add AG News dataset | {
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"Thanks @jxmorris12 for adding this adding. \r\nCan you please add a small description of the PR?"
] | 2020-06-26T16:11:58Z | 2020-06-30T09:58:08Z | 2020-06-30T08:31:55Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/315 | 315 | [Question] Best way to batch a large dataset? | {
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"Update: I think I've found a solution.\r\n\r\n```python\r\noutput_types = {\"input_ids\": tf.int64, \"token_type_ids\": tf.int64, \"attention_mask\": tf.int64}\r\ndef train_dataset_gen():\r\n for i in range(len(train_dataset)):\r\n yield train_dataset[i]\r\ntf_dataset = tf.data.Dataset.from_generator(tra... | 2020-06-25T22:30:20Z | 2020-10-27T15:38:17Z | null | CONTRIBUTOR | null | null | 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(... | null | {
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https://github.com/huggingface/datasets/pull/314 | 314 | Fixed singlular very minor spelling error | {
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"Thank you BatJeti! The storm-joker, aka the typo, finally got caught!"
] | 2020-06-25T10:45:59Z | 2020-06-26T08:46:41Z | 2020-06-25T12:43:59Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/313 | 313 | Add MWSC | {
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"Looks good to me"
] | 2020-06-25T09:22:02Z | 2020-06-30T08:28:11Z | 2020-06-30T08:28:11Z | CONTRIBUTOR | false | {
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Code is heavily bo... | {
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https://github.com/huggingface/datasets/issues/312 | 312 | [Feature request] Add `shard()` method to dataset | {
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"Hi Jared,\r\nInteresting, thanks for raising this question. You can also do that after loading with `dataset.select()` or `dataset.filter()` which let you keep only a specific subset of rows in a dataset.\r\nWhat is your use-case for sharding?",
"Thanks for the pointer to those functions! It's still a little mor... | 2020-06-24T22:48:33Z | 2020-07-06T12:35:36Z | 2020-07-06T12:35:36Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/pull/311 | 311 | Add qa_zre | {
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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`. | {
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https://github.com/huggingface/datasets/pull/310 | 310 | add wikisql | {
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"That's great work @ghomasHudson !"
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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.
- ... | {
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https://github.com/huggingface/datasets/pull/309 | 309 | Add narrative qa | {
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"Does it make sense to download the full stories? I remember attempting to implement this dataset a while ago and ended up with something like:\r\n```python\r\n def _split_generators(self, dl_manager):\r\n \"\"\"Returns SplitGenerators.\"\"\"\r\n\r\n dl_dir = dl_manager.download_and_extract(_DOWNLO... | 2020-06-24T17:26:18Z | 2020-09-03T09:02:10Z | 2020-09-03T09:02:09Z | NONE | false | {
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Only contains data for summaries (not whole story) | {
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https://github.com/huggingface/datasets/pull/308 | 308 | Specify utf-8 encoding for MRPC files | {
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https://github.com/huggingface/datasets/issues/307 | 307 | Specify encoding for MRPC | {
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```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... | {
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https://github.com/huggingface/datasets/pull/306 | 306 | add pg19 dataset | {
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"@lucidrains - Thanks a lot for making the PR - PG19 is a super important dataset! Thanks for making it. Many people are asking for PG-19, so it would be great to have that in the library as soon as possible @thomwolf .",
"@mariamabarham yup! around 11GB!",
"I'm looking forward to our first deep learning writte... | 2020-06-23T22:03:52Z | 2020-07-06T07:55:59Z | 2020-07-06T07:55:59Z | CONTRIBUTOR | false | {
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Add functioning PG19 dataset with dummy data
`cos_e.py` was just auto-linted by `make style` | {
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https://github.com/huggingface/datasets/issues/305 | 305 | Importing downloaded package repository fails | {
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] | closed | false | [] | 2020-06-23T21:09:05Z | 2020-07-30T16:44:23Z | 2020-07-30T16:44:23Z | MEMBER | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/304 | 304 | Problem while printing doc string when instantiating multiple metrics. | {
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] | closed | false | [] | 2020-06-23T19:32:05Z | 2020-07-22T09:50:58Z | 2020-07-22T09:50:58Z | CONTRIBUTOR | null | null | 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 ... | {
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https://github.com/huggingface/datasets/pull/303 | 303 | allow to move files across file systems | {
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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 | {
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https://github.com/huggingface/datasets/issues/302 | 302 | Question - Sign Language Datasets | {
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"Even more complicating - \r\n\r\nAs I see it, datasets can have \"addons\".\r\nFor example, the WebNLG dataset is a dataset for data-to-text. However, a work of mine and other works enriched this dataset with text plans / underlying text structures. In that case, I see a need to load the dataset \"WebNLG\" with \"... | 2020-06-23T14:53:40Z | 2020-11-25T11:25:33Z | 2020-11-25T11:25:33Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/301 | 301 | Setting cache_dir gives error on wikipedia download | {
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"Whoops didn't mean to close this one.\r\nI did some changes, could you try to run it from the master branch ?",
"Now it works, thanks!"
] | 2020-06-23T11:31:44Z | 2020-06-24T07:05:07Z | 2020-06-24T07:05:07Z | NONE | null | null | 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 ... | {
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https://github.com/huggingface/datasets/pull/300 | 300 | Fix bertscore references | {
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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... | {
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https://github.com/huggingface/datasets/pull/299 | 299 | remove some print in snli file | {
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"I guess you can just rebase from master to fix the CI"
] | 2020-06-23T07:46:06Z | 2020-06-23T08:10:46Z | 2020-06-23T08:10:44Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/298 | 298 | Add searchable datasets | {
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"Looks very cool! Only looked at it superficially though",
"Alright I think I've checked all your comments, thanks :)\r\n\r\nMoreover I just added a way to serialize faiss indexes.\r\nThis is important because for big datasets the index construction can take some time.\r\n\r\nExamples:\r\n\r\n```python\r\nds = nl... | 2020-06-23T07:33:03Z | 2020-06-26T07:50:44Z | 2020-06-26T07:50:43Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/298... | # 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... | {
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https://github.com/huggingface/datasets/issues/297 | 297 | Error in Demo for Specific Datasets | {
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"Thanks for reporting these errors :)\r\n\r\nI can actually see two issues here.\r\n\r\nFirst, datasets like `natural_questions` require apache_beam to be processed. Right now the import is not at the right place so we have this error message. However, even the imports are fixed, the nlp viewer doesn't actually hav... | 2020-06-23T00:38:42Z | 2020-07-17T17:43:06Z | 2020-07-17T17:43:06Z | NONE | null | null | Selecting `natural_questions` or `newsroom` dataset in the online demo results in an error similar to the following.
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https://github.com/huggingface/datasets/issues/296 | 296 | snli -1 labels | {
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"@jxmorris12 , we use `-1` to label examples for which `gold label` is missing (`gold label = -` in the original dataset). ",
"Thanks @mariamabarham! so the original dataset is missing some labels? That is weird. Is standard practice just to discard those examples training/eval?",
"Yes the original dataset is... | 2020-06-22T23:33:30Z | 2020-06-23T14:41:59Z | 2020-06-23T14:41:58Z | CONTRIBUTOR | null | null | 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})
```
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https://github.com/huggingface/datasets/issues/295 | 295 | Improve input warning for evaluation metrics | {
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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... | {
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https://github.com/huggingface/datasets/issues/294 | 294 | Cannot load arxiv dataset on MacOS? | {
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"I couldn't replicate this issue on my macbook :/\r\nCould you try to play with different encodings in `with open(path, encoding=...) as f` in scientific_papers.py:L108 ?",
"I was able to track down the file causing the problem by adding the following to `scientific_papers.py` (starting at line 116):\r\n\r\n```py... | 2020-06-22T15:46:55Z | 2020-06-30T15:25:10Z | 2020-06-30T15:25:10Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/pull/293 | 293 | Don't test community datasets | {
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It should fix the CI that is currently failing. | {
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https://github.com/huggingface/datasets/pull/292 | 292 | Update metadata for x_stance dataset | {
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"Great! Thanks @jvamvas for these updates.\r\n",
"I have fixed a warning. The remaining test failure is due to an unrelated dataset.",
"We just fixed the other dataset on master. Could you rebase from master and push to rerun the CI ?"
] | 2020-06-22T09:13:26Z | 2020-06-23T08:07:24Z | 2020-06-23T08:07:24Z | CONTRIBUTOR | false | {
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- Citation: Replace preprint with proceedings
- URL: Use a URL with long-term availability
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https://github.com/huggingface/datasets/pull/291 | 291 | break statement not required | {
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https://github.com/huggingface/datasets/issues/290 | 290 | ConnectionError - Eli5 dataset download | {
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"It should ne fixed now, thanks for reporting this one :)\r\nIt was an issue on our google storage.\r\n\r\nLet me now if you're still facing this issue.",
"It works now, thanks for prompt help!"
] | 2020-06-19T13:40:33Z | 2020-06-20T13:22:24Z | 2020-06-20T13:22:24Z | NONE | null | null | 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. | {
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https://github.com/huggingface/datasets/pull/289 | 289 | update xsum | {
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"Looks cool!\r\n@mariamabarham can you add a detailed description here what exactly is changed and how the user can load xsum now?",
"And a rebase should solve the conflicts",
"This is a super useful PR :-) @sshleifer - maybe you can take a look at the updated version of xsum if you can use it for your use case... | 2020-06-19T12:28:32Z | 2020-06-22T13:27:26Z | 2020-06-22T07:20:07Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/289... | 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... | {
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https://github.com/huggingface/datasets/issues/288 | 288 | Error at the first example in README: AttributeError: module 'dill' has no attribute '_dill' | {
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"It looks like the bug comes from `dill`. Which version of `dill` are you using ?",
"Thank you. It is version 0.2.6, which version is better?",
"0.2.6 is three years old now, maybe try a more recent one, e.g. the current 0.3.2 if you can?",
"Thanks guys! I upgraded dill and it works.",
"Awesome"
] | 2020-06-19T11:01:22Z | 2020-06-21T09:05:11Z | 2020-06-21T09:05:11Z | NONE | null | null | /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)])
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https://github.com/huggingface/datasets/pull/287 | 287 | fix squad_v2 metric | {
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The imports were wrong | {
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https://github.com/huggingface/datasets/pull/286 | 286 | Add ANLI dataset. | {
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"Awesome!! Thanks @easonnie.\r\nLet's wait for additional reviews maybe from @lhoestq @patrickvonplaten @jplu"
] | 2020-06-18T22:27:30Z | 2020-06-22T12:23:27Z | 2020-06-22T12:23:27Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/286... | 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. | {
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https://github.com/huggingface/datasets/pull/285 | 285 | Consistent formatting of citations | {
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"Circle CI shuold be green :-) "
] | 2020-06-18T16:25:23Z | 2020-06-22T08:09:25Z | 2020-06-22T08:09:24Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/284 | 284 | Fix manual download instructions | {
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"Verified that this works, thanks!",
"But I get\r\n```python\r\nConnectionError: Couldn't reach https://s3.amazonaws.com/datasets.huggingface.co/nlp/datasets/./datasets/wmt16/wmt16.py\r\n```\r\nWhen I try from jupyter on brutasse or my mac. (the jupyter server is run from transformers).\r\n\r\n\r\nBoth machines c... | 2020-06-18T15:59:57Z | 2020-06-19T08:24:21Z | 2020-06-19T08:24:19Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/284... | 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... | {
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https://github.com/huggingface/datasets/issues/283 | 283 | Consistent formatting of citations | {
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Can we make it so that they all are proper citations, i.e. parse by the bibtex spec:
https://bibtexparser.readthedocs.io/en/master/ | {
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https://github.com/huggingface/datasets/pull/282 | 282 | Update dataset_info from gcs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/282... | 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... | {
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https://github.com/huggingface/datasets/issues/281 | 281 | Private/sensitive data | {
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"Hi @MFreidank, you should already be able to load a dataset from local sources, indeed. (ping @lhoestq and @jplu)\r\n\r\nWe're also thinking about the ability to host private datasets on a hosted bucket with permission management, but that's further down the road.",
"Hi @MFreidank, it is possible to load a datas... | 2020-06-18T09:47:27Z | 2020-06-20T13:15:12Z | 2020-06-20T13:15:12Z | CONTRIBUTOR | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/280 | 280 | Error with SquadV2 Metrics | {
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**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... | {
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https://github.com/huggingface/datasets/issues/279 | 279 | Dataset Preprocessing Cache with .map() function not working as expected | {
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"When you're processing a dataset with `.map`, it checks whether it has already done this computation using a hash based on the function and the input (using some fancy serialization with `dill`). If you found that it doesn't work as expected in some cases, let us know !\r\n\r\nGiven that, you can still force to re... | 2020-06-17T17:17:21Z | 2021-07-06T21:43:28Z | 2021-04-18T23:43:49Z | NONE | null | null | 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 ... | {
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https://github.com/huggingface/datasets/issues/278 | 278 | MemoryError when loading German Wikipedia | {
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"Hi !\r\n\r\nAs you noticed, \"big\" datasets like Wikipedia require apache beam to be processed.\r\nHowever users usually don't have an apache beam runtime available (spark, dataflow, etc.) so our goal for this library is to also make available processed versions of these datasets, so that users can just download ... | 2020-06-17T15:06:21Z | 2020-06-19T12:53:02Z | 2020-06-19T12:53:02Z | NONE | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/277 | 277 | Empty samples in glue/qqp | {
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"We are only wrapping the original dataset.\r\n\r\nMaybe try to ask on the GLUE mailing list or reach out to the original authors?",
"Tanks for the suggestion, I'll try to ask GLUE benchmark.\r\nI'll first close the issue, post the following up here afterwards, and reopen the issue if needed. "
] | 2020-06-17T05:54:52Z | 2020-06-21T00:21:45Z | 2020-06-21T00:21:45Z | CONTRIBUTOR | null | null | ```
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... | {
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https://github.com/huggingface/datasets/pull/276 | 276 | Fix metric compute (original_instructions missing) | {
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"Awesome! This is working now:\r\n\r\n```python\r\nimport nlp \r\nseqeval = nlp.load_metric(\"seqeval\") \r\ny_true = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']] \r\ny_pred = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']] ... | 2020-06-16T08:52:01Z | 2020-06-18T07:41:45Z | 2020-06-18T07:41:44Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/276... | 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... | {
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https://github.com/huggingface/datasets/issues/275 | 275 | NonMatchingChecksumError when loading pubmed dataset | {
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"For some reason the files are not available for unauthenticated users right now (like the download service of this package). Instead of downloading the right files, it downloads the html of the error.\r\nAccording to the error it should be back again in 24h.\r\n\r\n`.
The error is:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-2-7742dea167d0> in <module... | {
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https://github.com/huggingface/datasets/issues/274 | 274 | PG-19 | {
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"Sounds good! Do you want to give it a try?",
"Ok, I'll see if I can figure it out tomorrow!",
"Got around to this today, and so far so good, I'm able to download and load pg19 locally. However, I think there may be an issue with the dummy data, and testing in general.\r\n\r\nThe problem lies in the fact that e... | 2020-06-15T21:02:26Z | 2020-07-06T15:35:02Z | 2020-07-06T15:35:02Z | CONTRIBUTOR | null | null | 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. | {
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https://github.com/huggingface/datasets/pull/273 | 273 | update cos_e to add cos_e v1.0 | {
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@nazneenrajani | {
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https://github.com/huggingface/datasets/pull/272 | 272 | asd | {
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