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https://github.com/huggingface/datasets/pull/171 | 171 | fix squad metric format | {
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"One thing for SQuAD is that I wanted to be able to use the SQuAD dataset directly in the metrics and I'm not sure it will be possible with this format.\r\n\r\n(maybe it's not really possible in general though)",
"This is kinda related to one thing I had in mind which is that we may want to be able to dump our mo... | 2020-05-19T18:37:36Z | 2020-05-22T13:36:50Z | 2020-05-22T13:36:48Z | MEMBER | false | {
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This should fix #143
I tested with
```python3
predictions = [
{'id': '56be4db0acb8001400a502ec', 'prediction_text': 'Denver Broncos'}
]
references = [
{'answers': [{'text': 'Denver Broncos'}], 'id': '56be4db0acb8001400a502ec'}
]
``` | {
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https://github.com/huggingface/datasets/pull/170 | 170 | Rename anli dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/170... | What we have now as the `anli` dataset is actually the αNLI dataset from the ART challenge dataset. This name is confusing because `anli` is also the name of adversarial NLI (see [https://github.com/facebookresearch/anli](https://github.com/facebookresearch/anli)).
I renamed the current `anli` dataset by `art`. | {
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https://github.com/huggingface/datasets/pull/169 | 169 | Adding Qanta (Quizbowl) Dataset | {
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"Hi @EntilZha - sorry for waiting so long until taking action here. We created a new command and a new recipe of how to add dummy_data. Can you maybe rebase to `master` as explained in 7. of https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-contribute-to-nlp and check that your dummy data is cor... | 2020-05-19T16:03:01Z | 2020-05-26T12:52:31Z | 2020-05-26T12:52:31Z | CONTRIBUTOR | false | {
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} | This PR adds the qanta question answering datasets from [Quizbowl: The Case for Incremental Question Answering](https://arxiv.org/abs/1904.04792) and [Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples](https://www.aclweb.org/anthology/Q19-1029/) (adversarial fold)
This part... | {
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https://github.com/huggingface/datasets/issues/168 | 168 | Loading 'wikitext' dataset fails | {
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"Hi, make sure you have a recent version of pyarrow.\r\n\r\nAre you using it in Google Colab? In this case, this error is probably the same as #128",
"Thanks!\r\n\r\nYes I'm using Google Colab, it seems like a duplicate then.",
"Closing as it is a duplicate",
"Hi,\r\nThe squad bug seems to be fixed, but the l... | 2020-05-19T13:04:29Z | 2020-05-26T21:46:52Z | 2020-05-26T21:46:52Z | NONE | null | null | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most rece... | {
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https://github.com/huggingface/datasets/pull/167 | 167 | [Tests] refactor tests | {
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"Nice !"
] | 2020-05-19T11:43:32Z | 2020-05-19T16:17:12Z | 2020-05-19T16:17:10Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/167... | This PR separates AWS and Local tests to remove these ugly statements in the script:
```python
if "/" not in dataset_name:
logging.info("Skip {} because it is a canonical dataset")
return
```
To run a `aws` test, one should now run the following command:
```python
pytest -s... | {
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https://github.com/huggingface/datasets/issues/166 | 166 | Add a method to shuffle a dataset | {
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"+1 for the naming convention\r\n\r\nAbout the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage)",
"+1 for shuffle in `Dataloader`. \r\nSome `Dataloader` just store idxs of dataset and just shuffle those idxs, which might(?) be faster ... | 2020-05-19T10:08:46Z | 2020-06-23T15:07:33Z | 2020-06-23T15:07:32Z | MEMBER | null | null | Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-pl... | {
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https://github.com/huggingface/datasets/issues/165 | 165 | ANLI | {
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For ANLI, use https://github.com/facebookresearch/anli. As that paper says, "Our dataset is not
to be confused with abductive NLI (Bhagavatula et al., 2019), which calls itself αNLI, or ART.".
Indeed, the paper cited under what is currently called anli says in the abstract "We int... | {
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https://github.com/huggingface/datasets/issues/164 | 164 | Add Spanish POR and NER Datasets | {
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"Hello @mrm8488, are these datasets official datasets published in an NLP/CL/ML venue?",
"What about this one: https://github.com/ccasimiro88/TranslateAlignRetrieve?"
] | 2020-05-18T22:18:21Z | 2020-05-25T16:28:45Z | 2020-05-25T16:28:45Z | CONTRIBUTOR | null | null | Hi guys,
In order to cover multilingual support a little step could be adding standard Datasets used for Spanish NER and POS tasks.
I can provide it in raw and preprocessed formats. | {
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https://github.com/huggingface/datasets/issues/163 | 163 | [Feature request] Add cos-e v1.0 | {
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"Sounds good, @mariamabarham do you want to give a look?\r\nI think we should have two configurations so we can allow either version of the dataset to be loaded with the `1.0` version being the default maybe.\r\n\r\nCc some authors of the great cos-e: @nazneenrajani @bmccann",
"cos_e v1.0 is related to CQA v1.0 b... | 2020-05-18T22:05:26Z | 2020-06-16T23:15:25Z | 2020-06-16T18:52:06Z | NONE | null | null | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](ht... | {
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https://github.com/huggingface/datasets/pull/162 | 162 | fix prev files hash in map | {
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"Awesome! ",
"Hi, yes, this seems to fix #160 -- I cloned the branch locally and verified",
"Perfect then :)"
] | 2020-05-18T21:20:51Z | 2020-05-18T21:36:21Z | 2020-05-18T21:36:20Z | MEMBER | false | {
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This makes sure it takes the previous files when computing the hash. | {
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https://github.com/huggingface/datasets/issues/161 | 161 | Discussion on version identifier & MockDataLoaderManager for test data | {
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"usually you can replace `download` in your dataset script with `download_and_prepare()` - could you share the code for your dataset here? :-) ",
"I have an initial version here: https://github.com/EntilZha/nlp/tree/master/datasets/qanta Thats pretty close to what I'll do as a PR, but still want to do some more s... | 2020-05-18T20:31:30Z | 2020-05-24T18:10:03Z | null | CONTRIBUTOR | null | null | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers ... | null | {
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https://github.com/huggingface/datasets/issues/160 | 160 | caching in map causes same result to be returned for train, validation and test | {
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"Hi @dpressel, \r\n\r\nthanks for posting your issue! Can you maybe add a complete code snippet that we can copy paste to reproduce the error? For example, I'm not sure where the variable `train_set` comes from in your code and it seems like you are loading multiple datasets at once? ",
"Hi, the full example was... | 2020-05-18T19:22:03Z | 2020-05-18T21:36:20Z | 2020-05-18T21:36:20Z | NONE | null | null | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.... | {
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https://github.com/huggingface/datasets/issues/159 | 159 | How can we add more datasets to nlp library? | {
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"Found it. https://github.com/huggingface/nlp/tree/master/datasets"
] | 2020-05-18T18:35:31Z | 2020-05-18T18:37:08Z | 2020-05-18T18:37:07Z | NONE | null | null | {
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https://github.com/huggingface/datasets/pull/158 | 158 | add Toronto Books Corpus | {
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} | This PR adds the Toronto Books Corpus.
.
It on consider TMX and plain text files (Moses) defined in the table **Statistics and TMX/Moses Downloads** [here](http://opus.nlpl.eu/Books.php ) | {
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https://github.com/huggingface/datasets/issues/157 | 157 | nlp.load_dataset() gives "TypeError: list_() takes exactly one argument (2 given)" | {
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"You can just run: \r\n`val = nlp.load_dataset('squad')` \r\n\r\nif you want to have just the validation script you can also do:\r\n\r\n`val = nlp.load_dataset('squad', split=\"validation\")`",
"If you want to load a local dataset, make sure you include a `./` before the folder name. ",
"This happens by just do... | 2020-05-18T16:46:38Z | 2020-06-05T08:08:58Z | 2020-06-05T08:08:58Z | NONE | null | null | I'm trying to load datasets from nlp but there seems to have error saying
"TypeError: list_() takes exactly one argument (2 given)"
gist can be found here
https://gist.github.com/saahiluppal/c4b878f330b10b9ab9762bc0776c0a6a | {
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https://github.com/huggingface/datasets/issues/156 | 156 | SyntaxError with WMT datasets | {
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"Jeez - don't know what happened there :D Should be fixed now! \r\n\r\nThanks a lot for reporting this @tomhosking !",
"Hi @patrickvonplaten!\r\n\r\nI'm now getting the below error:\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nTypeError ... | 2020-05-18T14:38:18Z | 2020-07-23T16:41:55Z | 2020-07-23T16:41:55Z | NONE | null | null | The following snippet produces a syntax error:
```
import nlp
dataset = nlp.load_dataset('wmt14')
print(dataset['train'][0])
```
```
Traceback (most recent call last):
File "/home/tom/.local/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.... | {
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https://github.com/huggingface/datasets/pull/155 | 155 | Include more links in README, fix typos | {
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"I fixed a conflict :) thanks !"
] | 2020-05-18T09:47:08Z | 2020-05-28T08:31:57Z | 2020-05-28T08:31:57Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/154 | 154 | add Ubuntu Dialogs Corpus datasets | {
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https://github.com/huggingface/datasets/issues/153 | 153 | Meta-datasets (GLUE/XTREME/...) – Special care to attributions and citations | {
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"As @yoavgo suggested, there should be the possibility to call a function like nlp.bib that outputs all bibtex ref from the datasets and models actually used and eventually nlp.bib.forreadme that would output the same info + versions numbers so they can be included in a readme.md file.",
"Actually, double checki... | 2020-05-18T07:24:22Z | 2020-05-18T21:18:16Z | null | MEMBER | null | null | Meta-datasets are interesting in terms of standardized benchmarks but they also have specific behaviors, in particular in terms of attribution and authorship. It's very important that each specific dataset inside a meta dataset is properly referenced and the citation/specific homepage/etc are very visible and accessibl... | null | {
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https://github.com/huggingface/datasets/pull/152 | 152 | Add GLUE config name check | {
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"If tests are being added, any guidance on where to add tests would be helpful!\r\n\r\nTagging @thomwolf for review",
"Looks good to me. Is this compatible with the way we are doing tests right now @patrickvonplaten ?",
"If the tests pass it should be fine :-) \r\n\r\n@Bharat123rox could you check whether the t... | 2020-05-18T07:23:43Z | 2020-05-27T22:09:12Z | 2020-05-27T22:09:12Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/151 | 151 | Fix JSON tests. | {
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https://github.com/huggingface/datasets/pull/150 | 150 | Add WNUT 17 NER dataset | {
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"The PR looks awesome! \r\nSince you have already added a dataset I imagine the tests as described in 5. of https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset all pass, right @stefan-it ?\r\n\r\nI think we are then good to merge this :-) @lhoestq ",
"Nice !\r\n\r\nOne thing though... | 2020-05-17T22:19:04Z | 2020-05-26T20:37:59Z | 2020-05-26T20:37:59Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/150... | Hi,
this PR adds the WNUT 17 dataset to `nlp`.
> Emerging and Rare entity recognition
> This shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions. Named entities form the basis of many modern approaches to other tasks (like event clustering and summarisati... | {
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https://github.com/huggingface/datasets/issues/149 | 149 | [Feature request] Add Ubuntu Dialogue Corpus dataset | {
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"@AlphaMycelium the Ubuntu Dialogue Corpus [version 2]( https://github.com/rkadlec/ubuntu-ranking-dataset-creator) is added. Note that it requires a manual download by following the download instructions in the [repos]( https://github.com/rkadlec/ubuntu-ranking-dataset-creator).\r\nMaybe we can close this issue for... | 2020-05-17T15:42:39Z | 2020-05-18T17:01:46Z | 2020-05-18T17:01:46Z | NONE | null | null | https://github.com/rkadlec/ubuntu-ranking-dataset-creator or http://dataset.cs.mcgill.ca/ubuntu-corpus-1.0/ | {
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https://github.com/huggingface/datasets/issues/148 | 148 | _download_and_prepare() got an unexpected keyword argument 'verify_infos' | {
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"Same error for dataset 'wiki40b'",
"Should be fixed on master :)"
] | 2020-05-17T01:48:53Z | 2020-05-18T07:38:33Z | 2020-05-18T07:38:33Z | CONTRIBUTOR | null | null | # Reproduce
In Colab,
```
%pip install -q nlp
%pip install -q apache_beam mwparserfromhell
dataset = nlp.load_dataset('wikipedia')
```
get
```
Downloading and preparing dataset wikipedia/20200501.aa (download: Unknown size, generated: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/w... | {
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https://github.com/huggingface/datasets/issues/147 | 147 | Error with sklearn train_test_split | {
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"Indeed. Probably we will want to have a similar method directly in the library",
"Related: #166 "
] | 2020-05-17T00:28:24Z | 2020-06-18T16:23:23Z | 2020-06-18T16:23:23Z | NONE | null | null | It would be nice if we could use sklearn `train_test_split` to quickly generate subsets from the dataset objects returned by `nlp.load_dataset`. At the moment the code:
```python
data = nlp.load_dataset('imdb', cache_dir=data_cache)
f_half, s_half = train_test_split(data['train'], test_size=0.5, random_state=seed)... | {
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https://github.com/huggingface/datasets/pull/146 | 146 | Add BERTScore to metrics | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/146... | This PR adds [BERTScore](https://arxiv.org/abs/1904.09675) to metrics.
Here is an example of how to use it.
```sh
import nlp
bertscore = nlp.load_metric('metrics/bertscore') # or simply nlp.load_metric('bertscore') after this is added to huggingface's s3 bucket
predictions = ['example', 'fruit']
references = [[... | {
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https://github.com/huggingface/datasets/pull/145 | 145 | [AWS Tests] Follow-up PR from #144 | {
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https://github.com/huggingface/datasets/pull/144 | 144 | [AWS tests] AWS test should not run for canonical datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/144... | AWS tests should in general not run for canonical datasets. Only local tests will run in this case. This way a PR is able to pass when adding a new dataset.
This PR changes to logic to the following:
1) All datasets that are present in `nlp/datasets` are tested only locally. This way when one adds a canonical da... | {
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https://github.com/huggingface/datasets/issues/143 | 143 | ArrowTypeError in squad metrics | {
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"There was an issue in the format, thanks.\r\nNow you can do\r\n```python3\r\nsquad_dset = nlp.load_dataset(\"squad\")\r\nsquad_metric = nlp.load_metric(\"/Users/quentinlhoest/Desktop/hf/nlp-bis/metrics/squad\")\r\npredictions = [\r\n {\"id\": v[\"id\"], \"prediction_text\": v[\"answers\"][\"text\"][0]} # take ... | 2020-05-16T12:06:37Z | 2020-05-22T13:38:52Z | 2020-05-22T13:36:48Z | CONTRIBUTOR | null | null | `squad_metric.compute` is giving following error
```
ArrowTypeError: Could not convert [{'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}, {'text': 'Denver Broncos'}] with type list: was not a dict, tuple, or recognized null value for conversion to struct type
```
This is how my predictions and references lo... | {
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https://github.com/huggingface/datasets/pull/142 | 142 | [WMT] Add all wmt | {
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The datasets are fully functional though for the "big" languag... | {
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https://github.com/huggingface/datasets/pull/141 | 141 | [Clean up] remove bogus folder | {
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"Same for the dataset_infos.json at the project root no ?",
"Sorry guys, I haven't noticed. Thank you for mentioning it."
] | 2020-05-16T11:13:42Z | 2020-05-16T13:24:27Z | 2020-05-16T13:24:26Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/140 | 140 | [Tests] run local tests as default | {
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"You are right and I think those are usual best practice :) I'm 100% fine with this^^",
"Merging this for now to unblock other PRs."
] | 2020-05-16T10:56:06Z | 2020-05-16T13:21:44Z | 2020-05-16T13:21:43Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/140... | This PR also enables local tests by default
I think it's safer for now to enable both local and aws tests for every commit. The problem currently is that when we do a PR to add a dataset, the dataset is not yet on AWS on therefore not tested on the PR itself. Thus the PR will always be green even if the datasets are... | {
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https://github.com/huggingface/datasets/pull/139 | 139 | Add GermEval 2014 NER dataset | {
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"Had really fun playing around with this new library :heart: ",
"That's awesome - thanks @stefan-it :-) \r\n\r\nCould you maybe rebase to master and check if all dummy data tests are fine. I should have included the local tests directly in the test suite so that all PRs are fully checked: #140 - sorry :D ",
"@p... | 2020-05-15T23:42:09Z | 2020-05-16T13:56:37Z | 2020-05-16T13:56:22Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/139... | Hi,
this PR adds the GermEval 2014 NER dataset 😃
> The GermEval 2014 NER Shared Task builds on a new dataset with German Named Entity annotation [1] with the following properties:
> - The data was sampled from German Wikipedia and News Corpora as a collection of citations.
> - The dataset covers over 31,000... | {
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https://github.com/huggingface/datasets/issues/138 | 138 | Consider renaming to nld | {
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"I would suggest `nlds`. NLP is a very general, broad and ambiguous term, the library is not about NLP (as in processing) per se, it is about accessing Natural Language related datasets. So the name should reflect its purpose.\r\n",
"Chiming in to second everything @honnibal said, and to add that I think the curr... | 2020-05-15T20:23:27Z | 2022-09-16T05:18:22Z | 2020-09-28T00:08:10Z | NONE | null | null | Hey :)
Just making a thread here recording what I said on Twitter, as it's impossible to follow discussion there. It's also just really not a good way to talk about this sort of thing.
The issue is that modules go into the global namespace, so you shouldn't use variable names that conflict with module names. This... | {
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https://github.com/huggingface/datasets/pull/136 | 136 | Update README.md | {
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"Thanks, this was fixed with #135 :)"
] | 2020-05-15T20:01:07Z | 2020-05-17T12:17:28Z | 2020-05-17T12:17:28Z | NONE | false | {
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https://github.com/huggingface/datasets/pull/135 | 135 | Fix print statement in READ.md | {
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"Indeed, thanks!"
] | 2020-05-15T19:52:23Z | 2020-05-17T12:14:06Z | 2020-05-17T12:14:05Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/134 | 134 | Update README.md | {
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"the readme got removed, closing this one"
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https://github.com/huggingface/datasets/issues/133 | 133 | [Question] Using/adding a local dataset | {
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"Hi @zphang,\r\n\r\nSo you can just give the local path to a dataset script file and it should work.\r\n\r\nHere is an example:\r\n- you can download one of the scripts in the `datasets` folder of the present repo (or clone the repo)\r\n- then you can load it with `load_dataset('PATH/TO/YOUR/LOCAL/SCRIPT.py')`\r\n\... | 2020-05-15T16:26:06Z | 2020-07-23T16:44:09Z | 2020-07-23T16:44:09Z | NONE | null | null | Users may want to either create/modify a local copy of a dataset, or use a custom-built dataset with the same `Dataset` API as externally downloaded datasets.
It appears to be possible to point to a local dataset path rather than downloading the external ones, but I'm not exactly sure how to go about doing this.
... | {
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https://github.com/huggingface/datasets/issues/132 | 132 | [Feature Request] Add the OpenWebText dataset | {
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"We're experimenting with hosting the OpenWebText corpus on Zenodo for easier downloading. https://zenodo.org/record/3834942#.Xs1w8i-z2J8",
"Closing since it's been added in #660 "
] | 2020-05-15T15:57:29Z | 2020-10-07T14:22:48Z | 2020-10-07T14:22:48Z | MEMBER | null | null | The OpenWebText dataset is an open clone of OpenAI's WebText dataset. It can be used to train ELECTRA as is specified in the [README](https://www.github.com/google-research/electra).
More information and the download link are available [here](https://skylion007.github.io/OpenWebTextCorpus/). | {
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https://github.com/huggingface/datasets/issues/131 | 131 | [Feature request] Add Toronto BookCorpus dataset | {
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"As far as I understand, `wikitext` is refer to `WikiText-103` and `WikiText-2` that created by researchers in Salesforce, and mostly used in traditional language modeling.\r\n\r\nYou might want to say `wikipedia`, a dump from wikimedia foundation.\r\n\r\nAlso I would like to have Toronto BookCorpus too ! Though it... | 2020-05-15T15:50:44Z | 2020-06-28T21:27:31Z | 2020-06-28T21:27:31Z | CONTRIBUTOR | null | null | I know the copyright/distribution of this one is complex, but it would be great to have! That, combined with the existing `wikitext`, would provide a complete dataset for pretraining models like BERT. | {
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https://github.com/huggingface/datasets/issues/130 | 130 | Loading GLUE dataset loads CoLA by default | {
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"As a follow-up to this: It looks like the actual GLUE task name is supplied as the `name` argument. Is there a way to check what `name`s/sub-datasets are available under a grouping like GLUE? That information doesn't seem to be readily available in info from `nlp.list_datasets()`.\r\n\r\nEdit: I found the info und... | 2020-05-15T14:55:50Z | 2020-05-27T22:08:15Z | 2020-05-27T22:08:15Z | NONE | null | null | If I run:
```python
dataset = nlp.load_dataset('glue')
```
The resultant dataset seems to be CoLA be default, without throwing any error. This is in contrast to calling:
```python
metric = nlp.load_metric("glue")
```
which throws an error telling the user that they need to specify a task in GLUE. Should the... | {
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https://github.com/huggingface/datasets/issues/129 | 129 | [Feature request] Add Google Natural Question dataset | {
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"Indeed, I think this one is almost ready cc @lhoestq ",
"I'm doing the latest adjustments to make the processing of the dataset run on Dataflow",
"Is there an update to this? It will be very beneficial for the QA community!",
"Still work in progress :)\r\nThe idea is to have the dataset already processed som... | 2020-05-15T14:14:20Z | 2020-07-23T13:21:29Z | 2020-07-23T13:21:29Z | NONE | null | null | Would be great to have https://github.com/google-research-datasets/natural-questions as an alternative to SQuAD. | {
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https://github.com/huggingface/datasets/issues/128 | 128 | Some error inside nlp.load_dataset() | {
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"Google colab has an old version of Apache Arrow built-in.\r\nBe sure you execute the \"pip install\" cell and restart the notebook environment if the colab asks for it.",
"Thanks for reply, worked fine!\r\n"
] | 2020-05-15T13:01:29Z | 2020-05-15T13:10:40Z | 2020-05-15T13:10:40Z | NONE | null | null | First of all, nice work!
I am going through [this overview notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb)
In simple step `dataset = nlp.load_dataset('squad', split='validation[:10%]')`
I get an error, which is connected with some inner code, I think:
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https://github.com/huggingface/datasets/pull/127 | 127 | Update Overview.ipynb | {
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https://github.com/huggingface/datasets/pull/126 | 126 | remove webis | {
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Our first dataset script that only lives on AWS :-) https://s3.console.aws.amazon.com/s3/buckets/datasets.huggingface.co/nlp/datasets/webis/tl_dr/?region=us-east-1 @julien-c @jplu | {
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https://github.com/huggingface/datasets/pull/125 | 125 | [Newsroom] add newsroom | {
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https://github.com/huggingface/datasets/pull/124 | 124 | Xsum, require manual download of some files | {
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https://github.com/huggingface/datasets/pull/123 | 123 | [Tests] Local => aws | {
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"For each dataset, If there exist a `dataset_info.json`, then the command `nlp-cli test path/to/my/dataset --al_configs` is successful only if the `dataset_infos.json` is correct. The infos are correct if the size and checksums of the downloaded file are correct, and if the number of examples in each split are corr... | 2020-05-15T09:12:25Z | 2020-05-15T10:06:12Z | 2020-05-15T10:03:26Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/123... | ## Change default Test from local => aws
As a default we set` aws=True`, `Local=False`, `slow=False`
### 1. RUN_AWS=1 (default)
This runs 4 tests per dataset script.
a) Does the dataset script have a valid etag / Can it be reached on AWS?
b) Can we load its `builder_class`?
c) Can we load **all** dataset c... | {
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https://github.com/huggingface/datasets/pull/122 | 122 | Final cleanup of readme and metrics | {
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https://github.com/huggingface/datasets/pull/121 | 121 | make style | {
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https://github.com/huggingface/datasets/issues/120 | 120 | 🐛 `map` not working | {
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"I didn't assign the output 🤦♂️\r\n\r\n```python\r\ndataset.map(test)\r\n```\r\n\r\nshould be :\r\n\r\n```python\r\ndataset = dataset.map(test)\r\n```"
] | 2020-05-15T06:43:08Z | 2020-05-15T07:02:38Z | 2020-05-15T07:02:38Z | NONE | null | null | I'm trying to run a basic example (mapping function to add a prefix).
[Here is the colab notebook I'm using.](https://colab.research.google.com/drive/1YH4JCAy0R1MMSc-k_Vlik_s1LEzP_t1h?usp=sharing)
```python
import nlp
dataset = nlp.load_dataset('squad', split='validation[:10%]')
def test(sample):
samp... | {
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https://github.com/huggingface/datasets/issues/119 | 119 | 🐛 Colab : type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array' | {
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"It's strange, after installing `nlp` on Colab, the `pyarrow` version seems fine from `pip` but not from python :\r\n\r\n```python\r\nimport pyarrow\r\n\r\n!pip show pyarrow\r\nprint(\"version = {}\".format(pyarrow.__version__))\r\n```\r\n\r\n> Name: pyarrow\r\nVersion: 0.17.0\r\nSummary: Python library for Apache ... | 2020-05-15T02:27:26Z | 2020-05-15T05:11:22Z | 2020-05-15T02:45:28Z | NONE | null | null | I'm trying to load CNN/DM dataset on Colab.
[Colab notebook](https://colab.research.google.com/drive/11Mf7iNhIyt6GpgA1dBEtg3cyMHmMhtZS?usp=sharing)
But I meet this error :
> AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
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https://github.com/huggingface/datasets/issues/118 | 118 | ❓ How to apply a map to all subsets ? | {
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"That's the way!"
] | 2020-05-15T01:58:52Z | 2020-05-15T07:05:49Z | 2020-05-15T07:04:25Z | NONE | null | null | I'm working with CNN/DM dataset, where I have 3 subsets : `train`, `test`, `validation`.
Should I apply my map function on the subsets one by one ?
```python
import nlp
cnn_dm = nlp.load_dataset('cnn_dailymail')
for corpus in ['train', 'test', 'validation']:
cnn_dm[corpus] = cnn_dm[corpus].map(my_f... | {
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https://github.com/huggingface/datasets/issues/117 | 117 | ❓ How to remove specific rows of a dataset ? | {
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"Hi, you can't do that at the moment.",
"Can you do it by now? Coz it would be awfully helpful!",
"you can convert dataset object to pandas and remove a feature and convert back to dataset .",
"That's what I ended up doing too. but it feels like a workaround to a feature that should be added to the datasets c... | 2020-05-15T01:25:06Z | 2022-07-15T08:36:44Z | 2020-05-15T07:04:32Z | NONE | null | null | I saw on the [example notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb#scrollTo=efFhDWhlvSVC) how to remove a specific column :
```python
dataset.drop('id')
```
But I didn't find how to remove a specific row.
**For example, how can I remove all sample w... | {
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https://github.com/huggingface/datasets/issues/116 | 116 | 🐛 Trying to use ROUGE metric : pyarrow.lib.ArrowInvalid: Column 1 named references expected length 534 but got length 323 | {
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"color": "25b21e",
"default": false,
"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
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"Can you share your data files or a minimally reproducible example?",
"Sure, [here is a Colab notebook](https://colab.research.google.com/drive/1uiS89fnHMG7HV_cYxp3r-_LqJQvNNKs9?usp=sharing) reproducing the error.\r\n\r\n> ArrowInvalid: Column 1 named references expected length 36 but got length 56",
"This is b... | 2020-05-15T01:12:06Z | 2020-05-28T23:43:07Z | 2020-05-28T23:43:07Z | NONE | null | null | I'm trying to use rouge metric.
I have to files : `test.pred.tokenized` and `test.gold.tokenized` with each line containing a sentence.
I tried :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("test.pred.tokenized") as p, open("test.gold.tokenized") as g:
for lp, lg in zip(p, g):
... | {
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https://github.com/huggingface/datasets/issues/115 | 115 | AttributeError: 'dict' object has no attribute 'info' | {
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"I could access the info by first accessing the different splits :\r\n\r\n```python\r\nimport nlp\r\n\r\ncnn_dm = nlp.load_dataset('cnn_dailymail')\r\nprint(cnn_dm['train'].info)\r\n```\r\n\r\nInformation seems to be duplicated between the subsets :\r\n\r\n```python\r\nprint(cnn_dm[\"train\"].info == cnn_dm[\"test\... | 2020-05-15T00:29:47Z | 2020-05-17T13:11:00Z | 2020-05-17T13:11:00Z | NONE | null | null | I'm trying to access the information of CNN/DM dataset :
```python
cnn_dm = nlp.load_dataset('cnn_dailymail')
print(cnn_dm.info)
```
returns :
> AttributeError: 'dict' object has no attribute 'info' | {
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https://github.com/huggingface/datasets/issues/114 | 114 | Couldn't reach CNN/DM dataset | {
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"Installing from source (instead of Pypi package) solved the problem."
] | 2020-05-15T00:16:17Z | 2020-05-15T00:19:52Z | 2020-05-15T00:19:51Z | NONE | null | null | I can't get CNN / DailyMail dataset.
```python
import nlp
assert "cnn_dailymail" in [dataset.id for dataset in nlp.list_datasets()]
cnn_dm = nlp.load_dataset('cnn_dailymail')
```
[Colab notebook](https://colab.research.google.com/drive/1zQ3bYAVzm1h0mw0yWPqKAg_4EUlSx5Ex?usp=sharing)
gives following error ... | {
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https://github.com/huggingface/datasets/pull/113 | 113 | Adding docstrings and some doc | {
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https://github.com/huggingface/datasets/pull/112 | 112 | Qa4mre - add dataset | {
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I had to do add some minor hacks to an important function to make it work.
There might be a cleaner way to handle it - can you take a look @thomwolf ? | {
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https://github.com/huggingface/datasets/pull/111 | 111 | [Clean-up] remove under construction datastes | {
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https://github.com/huggingface/datasets/pull/110 | 110 | fix reddit tifu dummy data | {
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https://github.com/huggingface/datasets/pull/109 | 109 | [Reclor] fix reclor | {
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https://github.com/huggingface/datasets/pull/108 | 108 | convert can use manual dir as second argument | {
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https://github.com/huggingface/datasets/pull/107 | 107 | add writer_batch_size to GeneratorBasedBuilder | {
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"Awesome that's great!"
] | 2020-05-14T16:35:39Z | 2020-05-14T16:50:30Z | 2020-05-14T16:50:29Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/106 | 106 | Add data dir test command | {
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"Nice - I think we can merge this. I will update the checksums for `wikihow` then as well"
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https://github.com/huggingface/datasets/pull/105 | 105 | [New structure on AWS] Adapt paths | {
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https://github.com/huggingface/datasets/pull/104 | 104 | Add trivia_q | {
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https://github.com/huggingface/datasets/pull/103 | 103 | [Manual downloads] add logic proposal for manual downloads and add wikihow | {
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"> Wikihow is an example that needs to manually download two files as stated in: https://github.com/mahnazkoupaee/WikiHow-Dataset.\r\n> \r\n> The user can then store these files under a hard-coded name: `wikihowAll.csv` and `wikihowSep.csv` in this case in a directory of his choice, e.g. `~/wikihow/manual_dir`.\r\n... | 2020-05-14T13:30:36Z | 2020-05-14T14:27:41Z | 2020-05-14T14:27:40Z | CONTRIBUTOR | false | {
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The user can then store these files under a hard-coded name: `wikihowAll.csv` and `wikihowSep.csv` in this case in a directory of his choice, e.g. `~/wikihow/manual_dir`.
The dataset ca... | {
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https://github.com/huggingface/datasets/pull/102 | 102 | Run save infos | {
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"Haha that cornell dialogue dataset - that ran for 3h on my computer as well. The `generate_examples` method in this script is one of the most inefficient code samples I've ever seen :D ",
"Indeed it's been 3 hours already\r\n```73111 examples [3:07:48, 2.40 examples/s]```"
] | 2020-05-14T13:27:26Z | 2020-05-14T15:43:04Z | 2020-05-14T15:43:03Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/101 | 101 | [Reddit] add reddit | {
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https://github.com/huggingface/datasets/pull/100 | 100 | Add per type scores in seqeval metric | {
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"LGTM :-) Some small suggestions to shorten the code a bit :-) ",
"Can you put the kwargs as normal kwargs instead of a dict? (And add them to the kwargs description As well)",
"@thom Is-it what you meant?",
"Yes and there is a dynamically generated doc string in the metric script KWARGS DESCRIPTION"
] | 2020-05-14T09:37:52Z | 2020-05-14T23:21:35Z | 2020-05-14T23:21:34Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/100... | This PR add a bit more detail in the seqeval metric. Now the usage and output are:
```python
import nlp
met = nlp.load_metric('metrics/seqeval')
references = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]
predictions = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-... | {
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https://github.com/huggingface/datasets/pull/99 | 99 | [Cmrc 2018] fix cmrc2018 | {
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https://github.com/huggingface/datasets/pull/98 | 98 | Webis tl-dr | {
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"Should that rather be in an organization scope, @thomwolf @patrickvonplaten ?",
"> Should that rather be in an organization scope, @thomwolf @patrickvonplaten ?\r\n\r\nI'm a bit indifferent - both would be fine for me!",
"@jplu - if creating the dummy_data is too tedious, I can do it as well :-) ",
"There is... | 2020-05-14T06:22:18Z | 2020-09-03T10:00:21Z | 2020-05-14T20:54:16Z | CONTRIBUTOR | false | {
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} | Add the Webid TL:DR dataset. | {
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https://github.com/huggingface/datasets/pull/97 | 97 | [Csv] add tests for csv dataset script | {
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"@thomwolf - can you check and merge if ok? "
] | 2020-05-13T23:06:11Z | 2020-05-13T23:23:16Z | 2020-05-13T23:23:15Z | CONTRIBUTOR | false | {
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} | Adds dummy data tests for csv. | {
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https://github.com/huggingface/datasets/pull/96 | 96 | lm1b | {
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"I might have a different version of `isort` than others. It seems like I'm always reordering the imports of others. But isn't really a problem..."
] | 2020-05-13T20:38:44Z | 2020-05-14T14:13:30Z | 2020-05-14T14:13:29Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/95 | 95 | Replace checksums files by Dataset infos json | {
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"Great! LGTM :-) ",
"> Ok, really clean!\r\n> I like the logic (not a huge fan of using `_asdict_inner` but it makes sense).\r\n> I think it's a nice improvement!\r\n> \r\n> How should we update the files in the repo? Run a big job on a server or on somebody's computer who has most of the datasets already downloa... | 2020-05-13T19:36:16Z | 2020-05-14T08:58:43Z | 2020-05-14T08:58:42Z | MEMBER | false | {
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} | ### Better verifications when loading a dataset
I replaced the `urls_checksums` directory that used to contain `checksums.txt` and `cached_sizes.txt`, by a single file `dataset_infos.json`. It's just a dict `config_name` -> `DatasetInfo`.
It simplifies and improves how verifications of checksums and splits sizes ... | {
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https://github.com/huggingface/datasets/pull/94 | 94 | Librispeech | {
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"@jplu - I changed this weird archieve - iter method to something simpler. It's only one file to download anyways so I don't see the point of using weird iter methods...It's a huge file though :D 30 million lines of text. Took me quite some time to download :D "
] | 2020-05-13T16:04:14Z | 2020-05-13T21:29:03Z | 2020-05-13T21:29:02Z | CONTRIBUTOR | false | {
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} | Add librispeech dataset and remove some useless content. | {
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https://github.com/huggingface/datasets/pull/93 | 93 | Cleanup notebooks and various fixes | {
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https://github.com/huggingface/datasets/pull/92 | 92 | [WIP] add wmt14 | {
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} | WMT14 takes forever to download :-/
- WMT is the first dataset that uses an abstract class IMO, so I had to modify the `load_dataset_module` a bit. | {
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https://github.com/huggingface/datasets/pull/91 | 91 | [Paracrawl] add paracrawl | {
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} | - Huge dataset - took ~1h to download
- Also this PR reformats all dataset scripts and adds `datasets` to `make style` | {
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https://github.com/huggingface/datasets/pull/90 | 90 | Add download gg drive | {
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"awesome - so no manual downloaded needed here? ",
"Yes exactly. It works like a standard download"
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https://github.com/huggingface/datasets/pull/89 | 89 | Add list and inspect methods - cleanup hf_api | {
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} | Add a bunch of methods to easily list and inspect the processing scripts up-loaded on S3:
```python
nlp.list_datasets()
nlp.list_metrics()
# Copy and prepare the scripts at `local_path` for easy inspection/modification.
nlp.inspect_dataset(path, local_path)
# Copy and prepare the scripts at `local_path` for easy... | {
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https://github.com/huggingface/datasets/pull/88 | 88 | Add wiki40b | {
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"Looks good to me. I have not really looked too much into the Beam Datasets yet though - so I think you can merge whenever you think is good for Beam datasets :-) "
] | 2020-05-13T09:16:01Z | 2020-05-13T12:31:55Z | 2020-05-13T12:31:54Z | MEMBER | false | {
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} | This one is a beam dataset that downloads files using tensorflow.
I tested it on a small config and it works fine | {
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https://github.com/huggingface/datasets/pull/87 | 87 | Add Flores | {
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} | Beautiful language for sure! | {
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https://github.com/huggingface/datasets/pull/86 | 86 | [Load => load_dataset] change naming | {
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} | Rename leftovers @thomwolf | {
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https://github.com/huggingface/datasets/pull/85 | 85 | Add boolq | {
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"Awesome :-) Thanks for adding the function to the Mock DL Manager"
] | 2020-05-13T08:32:27Z | 2020-05-13T09:09:39Z | 2020-05-13T09:09:38Z | MEMBER | false | {
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} | I just added the dummy data for this dataset.
This one was uses `tf.io.gfile.copy` to download the data but I added the support for custom download in the mock_download_manager. I also had to add a `tensorflow` dependency for tests. | {
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https://github.com/huggingface/datasets/pull/84 | 84 | [TedHrLr] add left dummy data | {
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https://github.com/huggingface/datasets/pull/83 | 83 | New datasets | {
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https://github.com/huggingface/datasets/pull/82 | 82 | [Datasets] add ted_hrlr | {
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} | @thomwolf - After looking at `xnli` I think it's better to leave the translation features and add a `translation` key to make them work in our framework.
The result looks like this:
![Screenshot from 2020-05-12 18-34-43](https://user-images.githubusercontent.com/23423619/81721933-ee1faf00-9480-11ea-9e95-d6557cbd0c... | {
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https://github.com/huggingface/datasets/pull/81 | 81 | add tests | {
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I also removed unused utils functions. | {
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https://github.com/huggingface/datasets/pull/80 | 80 | Add nbytes + nexamples check | {
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"Looks good to me! Should we hard code those numbers in the config classes and make sure that when loading a dataset that the numbers match? "
] | 2020-05-12T16:18:43Z | 2020-05-13T07:52:34Z | 2020-05-13T07:52:33Z | MEMBER | false | {
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} | ### Save size and number of examples
Now when you do `save_checksums`, it also create `cached_sizes.txt` right next to the checksum file.
This new file stores the bytes sizes and the number of examples of each split that has been prepared and stored in the cache. Example:
```
# Cached sizes: <full_config_name> <n... | {
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https://github.com/huggingface/datasets/pull/79 | 79 | [Convert] add new pattern | {
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https://github.com/huggingface/datasets/pull/78 | 78 | [Tests] skip beam dataset tests for now | {
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"@lhoestq - I moved the wkipedia file to the \"correct\" folder. ",
"Nice thanks !"
] | 2020-05-12T16:00:58Z | 2020-05-12T16:16:24Z | 2020-05-12T16:16:22Z | CONTRIBUTOR | false | {
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} | For now we will skip tests for Beam Datasets | {
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https://github.com/huggingface/datasets/pull/77 | 77 | New datasets | {
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https://github.com/huggingface/datasets/pull/76 | 76 | pin flake 8 | {
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https://github.com/huggingface/datasets/pull/75 | 75 | WIP adding metrics | {
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"It's all about my metric stuff so I'll probably merge it unless you want to have a look.\r\n\r\nTook the occasion to remove the old doc and requirements.txt"
] | 2020-05-12T09:52:00Z | 2020-05-13T07:44:12Z | 2020-05-13T07:44:10Z | MEMBER | false | {
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} | Adding the following metrics as identified by @mariamabarham:
1. BLEU: BiLingual Evaluation Understudy: https://github.com/tensorflow/nmt/blob/master/nmt/scripts/bleu.py, https://github.com/chakki-works/sumeval/blob/master/sumeval/metrics/bleu.py (multilingual)
2. GLEU: Google-BLEU: https://github.com/cnap/gec-... | {
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https://github.com/huggingface/datasets/pull/74 | 74 | fix overflow check | {
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} | I did some tests and unfortunately the test
```
pa_array.nbytes > MAX_BATCH_BYTES
```
doesn't work. Indeed for a StructArray, `nbytes` can be less 2GB even if there is an overflow (it loops...).
I don't think we can do a proper overflow test for the limit of 2GB...
For now I replaced it with a sanity check on... | {
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https://github.com/huggingface/datasets/pull/73 | 73 | JSON script | {
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"The tests for the Wikipedia dataset do not pass anymore with the error:\r\n```\r\nTo be able to use this dataset, you need to install the following dependencies ['mwparserfromhell'] using 'pip install mwparserfromhell' for instance'\r\n```",
"This was an issue on master. You can just rebase from master.",
"Per... | 2020-05-12T07:11:22Z | 2020-05-18T06:50:37Z | 2020-05-18T06:50:36Z | CONTRIBUTOR | false | {
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} | Add a JSONS script to read JSON datasets from files. | {
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https://github.com/huggingface/datasets/pull/72 | 72 | [README dummy data tests] README to better understand how the dummy data structure works | {
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} | In this PR a README.md is added to tests to shine more light on how the dummy data structure works. I try to explain the different possible cases. IMO the best way to understand the logic is to checkout the dummy data structure of the different datasets I mention in the README.md since those are the "edge cases".
@... | {
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https://github.com/huggingface/datasets/pull/71 | 71 | Fix arrow writer for big datasets using writer_batch_size | {
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"After a quick chat with Yacine : the 2Go test may not be sufficient actually, as I'm looking at the size of the array and not the size of the current_rows. If the test doesn't do the job I think I'll remove it and lower the batch size a bit to be sure that it never exceeds 2Go. I'll do more tests later"
] | 2020-05-11T14:45:36Z | 2020-05-11T20:09:47Z | 2020-05-11T20:00:38Z | MEMBER | false | {
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} | This PR fixes Yacine's bug.
According to [this](https://github.com/apache/arrow/blob/master/docs/source/cpp/arrays.rst#size-limitations-and-recommendations), it is not recommended to have pyarrow arrays bigger than 2Go.
Therefore I set a default batch size of 100 000 examples per batch. In general it shouldn't exce... | {
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} | null | null | null | true |
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