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values | comments int64 0 70 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-08-05 09:28:51 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-08-05 11:39:56 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-08-01 05:15:45 ⌀ | user_login stringlengths 3 26 | labels listlengths 0 4 | body stringlengths 0 228k ⌀ | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
619,968,480 | https://api.github.com/repos/huggingface/datasets/issues/151 | https://github.com/huggingface/datasets/pull/151 | 151 | Fix JSON tests. | closed | 0 | 2020-05-18T07:17:38 | 2020-05-18T07:21:52 | 2020-05-18T07:21:51 | jplu | [] | true | |
619,809,645 | https://api.github.com/repos/huggingface/datasets/issues/150 | https://github.com/huggingface/datasets/pull/150 | 150 | Add WNUT 17 NER dataset | closed | 4 | 2020-05-17T22:19:04 | 2020-05-26T20:37:59 | 2020-05-26T20:37:59 | stefan-it | [] | 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... | true |
619,735,739 | https://api.github.com/repos/huggingface/datasets/issues/149 | https://github.com/huggingface/datasets/issues/149 | 149 | [Feature request] Add Ubuntu Dialogue Corpus dataset | closed | 1 | 2020-05-17T15:42:39 | 2020-05-18T17:01:46 | 2020-05-18T17:01:46 | danth | [
"dataset request"
] | https://github.com/rkadlec/ubuntu-ranking-dataset-creator or http://dataset.cs.mcgill.ca/ubuntu-corpus-1.0/ | false |
619,590,555 | https://api.github.com/repos/huggingface/datasets/issues/148 | https://github.com/huggingface/datasets/issues/148 | 148 | _download_and_prepare() got an unexpected keyword argument 'verify_infos' | closed | 2 | 2020-05-17T01:48:53 | 2020-05-18T07:38:33 | 2020-05-18T07:38:33 | richarddwang | [
"dataset bug"
] | # 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... | false |
619,581,907 | https://api.github.com/repos/huggingface/datasets/issues/147 | https://github.com/huggingface/datasets/issues/147 | 147 | Error with sklearn train_test_split | closed | 2 | 2020-05-17T00:28:24 | 2020-06-18T16:23:23 | 2020-06-18T16:23:23 | ClonedOne | [
"enhancement"
] | 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)... | false |
619,564,653 | https://api.github.com/repos/huggingface/datasets/issues/146 | https://github.com/huggingface/datasets/pull/146 | 146 | Add BERTScore to metrics | closed | 0 | 2020-05-16T22:09:39 | 2020-05-17T22:22:10 | 2020-05-17T22:22:09 | felixgwu | [] | 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 = [[... | true |
619,480,549 | https://api.github.com/repos/huggingface/datasets/issues/145 | https://github.com/huggingface/datasets/pull/145 | 145 | [AWS Tests] Follow-up PR from #144 | closed | 0 | 2020-05-16T13:53:46 | 2020-05-16T13:54:23 | 2020-05-16T13:54:22 | patrickvonplaten | [] | I forgot to add this line in PR #145 . | true |
619,477,367 | https://api.github.com/repos/huggingface/datasets/issues/144 | https://github.com/huggingface/datasets/pull/144 | 144 | [AWS tests] AWS test should not run for canonical datasets | closed | 0 | 2020-05-16T13:39:30 | 2020-05-16T13:44:34 | 2020-05-16T13:44:33 | patrickvonplaten | [] | 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... | true |
619,457,641 | https://api.github.com/repos/huggingface/datasets/issues/143 | https://github.com/huggingface/datasets/issues/143 | 143 | ArrowTypeError in squad metrics | closed | 1 | 2020-05-16T12:06:37 | 2020-05-22T13:38:52 | 2020-05-22T13:36:48 | patil-suraj | [
"metric bug"
] | `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... | false |
619,450,068 | https://api.github.com/repos/huggingface/datasets/issues/142 | https://github.com/huggingface/datasets/pull/142 | 142 | [WMT] Add all wmt | closed | 0 | 2020-05-16T11:28:46 | 2020-05-17T12:18:21 | 2020-05-17T12:18:20 | patrickvonplaten | [] | This PR adds all wmt datasets scripts. At the moment the script is **not** functional for the language pairs "cs-en", "ru-en", "hi-en" because apparently it takes up to a week to get the manual data for these datasets: see http://ufal.mff.cuni.cz/czeng.
The datasets are fully functional though for the "big" languag... | true |
619,447,090 | https://api.github.com/repos/huggingface/datasets/issues/141 | https://github.com/huggingface/datasets/pull/141 | 141 | [Clean up] remove bogus folder | closed | 2 | 2020-05-16T11:13:42 | 2020-05-16T13:24:27 | 2020-05-16T13:24:26 | patrickvonplaten | [] | @mariamabarham - I think you accidentally placed it there. | true |
619,443,613 | https://api.github.com/repos/huggingface/datasets/issues/140 | https://github.com/huggingface/datasets/pull/140 | 140 | [Tests] run local tests as default | closed | 2 | 2020-05-16T10:56:06 | 2020-05-16T13:21:44 | 2020-05-16T13:21:43 | patrickvonplaten | [] | 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... | true |
619,327,409 | https://api.github.com/repos/huggingface/datasets/issues/139 | https://github.com/huggingface/datasets/pull/139 | 139 | Add GermEval 2014 NER dataset | closed | 4 | 2020-05-15T23:42:09 | 2020-05-16T13:56:37 | 2020-05-16T13:56:22 | stefan-it | [] | 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... | true |
619,225,191 | https://api.github.com/repos/huggingface/datasets/issues/138 | https://github.com/huggingface/datasets/issues/138 | 138 | Consider renaming to nld | closed | 13 | 2020-05-15T20:23:27 | 2022-09-16T05:18:22 | 2020-09-28T00:08:10 | honnibal | [
"generic discussion"
] | 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... | false |
619,211,018 | https://api.github.com/repos/huggingface/datasets/issues/136 | https://github.com/huggingface/datasets/pull/136 | 136 | Update README.md | closed | 1 | 2020-05-15T20:01:07 | 2020-05-17T12:17:28 | 2020-05-17T12:17:28 | renaud | [] | small typo | true |
619,206,708 | https://api.github.com/repos/huggingface/datasets/issues/135 | https://github.com/huggingface/datasets/pull/135 | 135 | Fix print statement in READ.md | closed | 1 | 2020-05-15T19:52:23 | 2020-05-17T12:14:06 | 2020-05-17T12:14:05 | codehunk628 | [] | print statement was throwing generator object instead of printing names of available datasets/metrics | true |
619,112,641 | https://api.github.com/repos/huggingface/datasets/issues/134 | https://github.com/huggingface/datasets/pull/134 | 134 | Update README.md | closed | 1 | 2020-05-15T16:56:14 | 2020-05-28T08:21:49 | 2020-05-28T08:21:49 | pranv | [] | true | |
619,094,954 | https://api.github.com/repos/huggingface/datasets/issues/133 | https://github.com/huggingface/datasets/issues/133 | 133 | [Question] Using/adding a local dataset | closed | 5 | 2020-05-15T16:26:06 | 2020-07-23T16:44:09 | 2020-07-23T16:44:09 | zphang | [] | 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.
... | false |
619,077,851 | https://api.github.com/repos/huggingface/datasets/issues/132 | https://github.com/huggingface/datasets/issues/132 | 132 | [Feature Request] Add the OpenWebText dataset | closed | 2 | 2020-05-15T15:57:29 | 2020-10-07T14:22:48 | 2020-10-07T14:22:48 | LysandreJik | [
"dataset request"
] | 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/). | false |
619,073,731 | https://api.github.com/repos/huggingface/datasets/issues/131 | https://github.com/huggingface/datasets/issues/131 | 131 | [Feature request] Add Toronto BookCorpus dataset | closed | 2 | 2020-05-15T15:50:44 | 2020-06-28T21:27:31 | 2020-06-28T21:27:31 | jarednielsen | [
"dataset request"
] | 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. | false |
619,035,440 | https://api.github.com/repos/huggingface/datasets/issues/130 | https://github.com/huggingface/datasets/issues/130 | 130 | Loading GLUE dataset loads CoLA by default | closed | 3 | 2020-05-15T14:55:50 | 2020-05-27T22:08:15 | 2020-05-27T22:08:15 | zphang | [
"dataset bug"
] | 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... | false |
618,997,725 | https://api.github.com/repos/huggingface/datasets/issues/129 | https://github.com/huggingface/datasets/issues/129 | 129 | [Feature request] Add Google Natural Question dataset | closed | 7 | 2020-05-15T14:14:20 | 2020-07-23T13:21:29 | 2020-07-23T13:21:29 | elyase | [
"dataset request"
] | Would be great to have https://github.com/google-research-datasets/natural-questions as an alternative to SQuAD. | false |
618,951,117 | https://api.github.com/repos/huggingface/datasets/issues/128 | https://github.com/huggingface/datasets/issues/128 | 128 | Some error inside nlp.load_dataset() | closed | 2 | 2020-05-15T13:01:29 | 2020-05-15T13:10:40 | 2020-05-15T13:10:40 | polkaYK | [] | 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:
`... | false |
618,909,042 | https://api.github.com/repos/huggingface/datasets/issues/127 | https://github.com/huggingface/datasets/pull/127 | 127 | Update Overview.ipynb | closed | 0 | 2020-05-15T11:46:48 | 2020-05-15T11:47:27 | 2020-05-15T11:47:25 | patrickvonplaten | [] | update notebook | true |
618,897,499 | https://api.github.com/repos/huggingface/datasets/issues/126 | https://github.com/huggingface/datasets/pull/126 | 126 | remove webis | closed | 0 | 2020-05-15T11:25:20 | 2020-05-15T11:31:24 | 2020-05-15T11:30:26 | patrickvonplaten | [] | Remove webis from dataset folder.
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 | true |
618,869,048 | https://api.github.com/repos/huggingface/datasets/issues/125 | https://github.com/huggingface/datasets/pull/125 | 125 | [Newsroom] add newsroom | closed | 0 | 2020-05-15T10:34:34 | 2020-05-15T10:37:07 | 2020-05-15T10:37:02 | patrickvonplaten | [] | I checked it with the data link of the mail you forwarded @thomwolf => works well! | true |
618,864,284 | https://api.github.com/repos/huggingface/datasets/issues/124 | https://github.com/huggingface/datasets/pull/124 | 124 | Xsum, require manual download of some files | closed | 0 | 2020-05-15T10:26:13 | 2020-05-15T11:04:48 | 2020-05-15T11:04:46 | mariamabarham | [] | true | |
618,820,140 | https://api.github.com/repos/huggingface/datasets/issues/123 | https://github.com/huggingface/datasets/pull/123 | 123 | [Tests] Local => aws | closed | 3 | 2020-05-15T09:12:25 | 2020-05-15T10:06:12 | 2020-05-15T10:03:26 | patrickvonplaten | [] | ## 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... | true |
618,813,182 | https://api.github.com/repos/huggingface/datasets/issues/122 | https://github.com/huggingface/datasets/pull/122 | 122 | Final cleanup of readme and metrics | closed | 0 | 2020-05-15T09:00:52 | 2021-09-03T19:40:09 | 2020-05-15T09:02:22 | thomwolf | [] | true | |
618,790,040 | https://api.github.com/repos/huggingface/datasets/issues/121 | https://github.com/huggingface/datasets/pull/121 | 121 | make style | closed | 0 | 2020-05-15T08:23:36 | 2020-05-15T08:25:39 | 2020-05-15T08:25:38 | patrickvonplaten | [] | true | |
618,737,783 | https://api.github.com/repos/huggingface/datasets/issues/120 | https://github.com/huggingface/datasets/issues/120 | 120 | 🐛 `map` not working | closed | 1 | 2020-05-15T06:43:08 | 2020-05-15T07:02:38 | 2020-05-15T07:02:38 | astariul | [] | 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... | false |
618,652,145 | https://api.github.com/repos/huggingface/datasets/issues/119 | https://github.com/huggingface/datasets/issues/119 | 119 | 🐛 Colab : type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array' | closed | 2 | 2020-05-15T02:27:26 | 2020-05-15T05:11:22 | 2020-05-15T02:45:28 | astariul | [] | 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'
| false |
618,643,088 | https://api.github.com/repos/huggingface/datasets/issues/118 | https://github.com/huggingface/datasets/issues/118 | 118 | ❓ How to apply a map to all subsets ? | closed | 1 | 2020-05-15T01:58:52 | 2020-05-15T07:05:49 | 2020-05-15T07:04:25 | astariul | [] | 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... | false |
618,632,573 | https://api.github.com/repos/huggingface/datasets/issues/117 | https://github.com/huggingface/datasets/issues/117 | 117 | ❓ How to remove specific rows of a dataset ? | closed | 4 | 2020-05-15T01:25:06 | 2022-07-15T08:36:44 | 2020-05-15T07:04:32 | astariul | [] | 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... | false |
618,628,264 | https://api.github.com/repos/huggingface/datasets/issues/116 | 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 | closed | 5 | 2020-05-15T01:12:06 | 2020-05-28T23:43:07 | 2020-05-28T23:43:07 | astariul | [
"metric bug"
] | 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):
... | false |
618,615,855 | https://api.github.com/repos/huggingface/datasets/issues/115 | https://github.com/huggingface/datasets/issues/115 | 115 | AttributeError: 'dict' object has no attribute 'info' | closed | 2 | 2020-05-15T00:29:47 | 2020-05-17T13:11:00 | 2020-05-17T13:11:00 | astariul | [] | 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' | false |
618,611,310 | https://api.github.com/repos/huggingface/datasets/issues/114 | https://github.com/huggingface/datasets/issues/114 | 114 | Couldn't reach CNN/DM dataset | closed | 1 | 2020-05-15T00:16:17 | 2020-05-15T00:19:52 | 2020-05-15T00:19:51 | astariul | [] | 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 ... | false |
618,590,562 | https://api.github.com/repos/huggingface/datasets/issues/113 | https://github.com/huggingface/datasets/pull/113 | 113 | Adding docstrings and some doc | closed | 0 | 2020-05-14T23:14:41 | 2020-05-14T23:22:45 | 2020-05-14T23:22:44 | thomwolf | [] | Some doc | true |
618,569,195 | https://api.github.com/repos/huggingface/datasets/issues/112 | https://github.com/huggingface/datasets/pull/112 | 112 | Qa4mre - add dataset | closed | 0 | 2020-05-14T22:17:51 | 2020-05-15T09:16:43 | 2020-05-15T09:16:42 | patrickvonplaten | [] | Added dummy data test only for the first config. Will do the rest later.
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 ? | true |
618,528,060 | https://api.github.com/repos/huggingface/datasets/issues/111 | https://github.com/huggingface/datasets/pull/111 | 111 | [Clean-up] remove under construction datastes | closed | 0 | 2020-05-14T20:52:13 | 2020-05-14T20:52:23 | 2020-05-14T20:52:22 | patrickvonplaten | [] | true | |
618,520,325 | https://api.github.com/repos/huggingface/datasets/issues/110 | https://github.com/huggingface/datasets/pull/110 | 110 | fix reddit tifu dummy data | closed | 0 | 2020-05-14T20:37:37 | 2020-05-14T20:40:14 | 2020-05-14T20:40:13 | patrickvonplaten | [] | true | |
618,508,359 | https://api.github.com/repos/huggingface/datasets/issues/109 | https://github.com/huggingface/datasets/pull/109 | 109 | [Reclor] fix reclor | closed | 0 | 2020-05-14T20:16:26 | 2020-05-14T20:19:09 | 2020-05-14T20:19:08 | patrickvonplaten | [] | - That's probably one me. Could have made the manual data test more flexible. @mariamabarham | true |
618,386,394 | https://api.github.com/repos/huggingface/datasets/issues/108 | https://github.com/huggingface/datasets/pull/108 | 108 | convert can use manual dir as second argument | closed | 0 | 2020-05-14T16:52:32 | 2020-05-14T16:52:43 | 2020-05-14T16:52:42 | patrickvonplaten | [] | @mariamabarham | true |
618,373,045 | https://api.github.com/repos/huggingface/datasets/issues/107 | https://github.com/huggingface/datasets/pull/107 | 107 | add writer_batch_size to GeneratorBasedBuilder | closed | 1 | 2020-05-14T16:35:39 | 2020-05-14T16:50:30 | 2020-05-14T16:50:29 | lhoestq | [] | You can now specify `writer_batch_size` in the builder arguments or directly in `load_dataset` | true |
618,361,418 | https://api.github.com/repos/huggingface/datasets/issues/106 | https://github.com/huggingface/datasets/pull/106 | 106 | Add data dir test command | closed | 1 | 2020-05-14T16:18:39 | 2020-05-14T16:49:11 | 2020-05-14T16:49:10 | lhoestq | [] | true | |
618,345,191 | https://api.github.com/repos/huggingface/datasets/issues/105 | https://github.com/huggingface/datasets/pull/105 | 105 | [New structure on AWS] Adapt paths | closed | 0 | 2020-05-14T15:55:57 | 2020-05-14T15:56:28 | 2020-05-14T15:56:27 | patrickvonplaten | [] | Some small changes so that we have the correct paths. @julien-c | true |
618,277,081 | https://api.github.com/repos/huggingface/datasets/issues/104 | https://github.com/huggingface/datasets/pull/104 | 104 | Add trivia_q | closed | 0 | 2020-05-14T14:27:19 | 2020-07-12T05:34:20 | 2020-05-14T20:23:32 | patrickvonplaten | [] | Currently tested only for one config to pass tests. Needs to add more dummy data later. | true |
618,233,637 | https://api.github.com/repos/huggingface/datasets/issues/103 | https://github.com/huggingface/datasets/pull/103 | 103 | [Manual downloads] add logic proposal for manual downloads and add wikihow | closed | 3 | 2020-05-14T13:30:36 | 2020-05-14T14:27:41 | 2020-05-14T14:27:40 | patrickvonplaten | [] | Wikihow is an example that needs to manually download two files as stated in: https://github.com/mahnazkoupaee/WikiHow-Dataset.
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... | true |
618,231,216 | https://api.github.com/repos/huggingface/datasets/issues/102 | https://github.com/huggingface/datasets/pull/102 | 102 | Run save infos | closed | 2 | 2020-05-14T13:27:26 | 2020-05-14T15:43:04 | 2020-05-14T15:43:03 | lhoestq | [] | I replaced the old checksum file with the new `dataset_infos.json` by running the script on almost all the datasets we have. The only one that is still running on my side is the cornell dialog | true |
618,111,651 | https://api.github.com/repos/huggingface/datasets/issues/101 | https://github.com/huggingface/datasets/pull/101 | 101 | [Reddit] add reddit | closed | 0 | 2020-05-14T10:25:02 | 2020-05-14T10:27:25 | 2020-05-14T10:27:24 | patrickvonplaten | [] | - Everything worked fine @mariamabarham. Made my computer nearly crash, but all seems to be working :-) | true |
618,081,602 | https://api.github.com/repos/huggingface/datasets/issues/100 | https://github.com/huggingface/datasets/pull/100 | 100 | Add per type scores in seqeval metric | closed | 4 | 2020-05-14T09:37:52 | 2020-05-14T23:21:35 | 2020-05-14T23:21:34 | jplu | [] | 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-... | true |
618,026,700 | https://api.github.com/repos/huggingface/datasets/issues/99 | https://github.com/huggingface/datasets/pull/99 | 99 | [Cmrc 2018] fix cmrc2018 | closed | 0 | 2020-05-14T08:22:03 | 2020-05-14T08:49:42 | 2020-05-14T08:49:41 | patrickvonplaten | [] | true | |
617,957,739 | https://api.github.com/repos/huggingface/datasets/issues/98 | https://github.com/huggingface/datasets/pull/98 | 98 | Webis tl-dr | closed | 12 | 2020-05-14T06:22:18 | 2020-09-03T10:00:21 | 2020-05-14T20:54:16 | jplu | [] | Add the Webid TL:DR dataset. | true |
617,809,431 | https://api.github.com/repos/huggingface/datasets/issues/97 | https://github.com/huggingface/datasets/pull/97 | 97 | [Csv] add tests for csv dataset script | closed | 1 | 2020-05-13T23:06:11 | 2020-05-13T23:23:16 | 2020-05-13T23:23:15 | patrickvonplaten | [] | Adds dummy data tests for csv. | true |
617,739,521 | https://api.github.com/repos/huggingface/datasets/issues/96 | https://github.com/huggingface/datasets/pull/96 | 96 | lm1b | closed | 1 | 2020-05-13T20:38:44 | 2020-05-14T14:13:30 | 2020-05-14T14:13:29 | jplu | [] | Add lm1b dataset. | true |
617,703,037 | https://api.github.com/repos/huggingface/datasets/issues/95 | https://github.com/huggingface/datasets/pull/95 | 95 | Replace checksums files by Dataset infos json | closed | 2 | 2020-05-13T19:36:16 | 2020-05-14T08:58:43 | 2020-05-14T08:58:42 | lhoestq | [] | ### 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 ... | true |
617,571,340 | https://api.github.com/repos/huggingface/datasets/issues/94 | https://github.com/huggingface/datasets/pull/94 | 94 | Librispeech | closed | 1 | 2020-05-13T16:04:14 | 2020-05-13T21:29:03 | 2020-05-13T21:29:02 | jplu | [] | Add librispeech dataset and remove some useless content. | true |
617,522,029 | https://api.github.com/repos/huggingface/datasets/issues/93 | https://github.com/huggingface/datasets/pull/93 | 93 | Cleanup notebooks and various fixes | closed | 0 | 2020-05-13T14:58:58 | 2020-05-13T15:01:48 | 2020-05-13T15:01:47 | thomwolf | [] | Fixes on dataset (more flexible) metrics (fix) and general clean ups | true |
617,341,505 | https://api.github.com/repos/huggingface/datasets/issues/92 | https://github.com/huggingface/datasets/pull/92 | 92 | [WIP] add wmt14 | closed | 0 | 2020-05-13T10:42:03 | 2020-05-16T11:17:38 | 2020-05-16T11:17:37 | patrickvonplaten | [] | 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. | true |
617,339,484 | https://api.github.com/repos/huggingface/datasets/issues/91 | https://github.com/huggingface/datasets/pull/91 | 91 | [Paracrawl] add paracrawl | closed | 0 | 2020-05-13T10:39:00 | 2020-05-13T10:40:15 | 2020-05-13T10:40:14 | patrickvonplaten | [] | - Huge dataset - took ~1h to download
- Also this PR reformats all dataset scripts and adds `datasets` to `make style` | true |
617,311,877 | https://api.github.com/repos/huggingface/datasets/issues/90 | https://github.com/huggingface/datasets/pull/90 | 90 | Add download gg drive | closed | 2 | 2020-05-13T09:56:02 | 2020-05-13T12:46:28 | 2020-05-13T10:05:31 | lhoestq | [] | We can now add datasets that download from google drive | true |
617,295,069 | https://api.github.com/repos/huggingface/datasets/issues/89 | https://github.com/huggingface/datasets/pull/89 | 89 | Add list and inspect methods - cleanup hf_api | closed | 0 | 2020-05-13T09:30:15 | 2020-05-13T14:05:00 | 2020-05-13T09:33:10 | thomwolf | [] | 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... | true |
617,284,664 | https://api.github.com/repos/huggingface/datasets/issues/88 | https://github.com/huggingface/datasets/pull/88 | 88 | Add wiki40b | closed | 1 | 2020-05-13T09:16:01 | 2020-05-13T12:31:55 | 2020-05-13T12:31:54 | lhoestq | [] | This one is a beam dataset that downloads files using tensorflow.
I tested it on a small config and it works fine | true |
617,267,118 | https://api.github.com/repos/huggingface/datasets/issues/87 | https://github.com/huggingface/datasets/pull/87 | 87 | Add Flores | closed | 0 | 2020-05-13T08:51:29 | 2020-05-13T09:23:34 | 2020-05-13T09:23:33 | patrickvonplaten | [] | Beautiful language for sure! | true |
617,260,972 | https://api.github.com/repos/huggingface/datasets/issues/86 | https://github.com/huggingface/datasets/pull/86 | 86 | [Load => load_dataset] change naming | closed | 0 | 2020-05-13T08:43:00 | 2020-05-13T08:50:58 | 2020-05-13T08:50:57 | patrickvonplaten | [] | Rename leftovers @thomwolf | true |
617,253,428 | https://api.github.com/repos/huggingface/datasets/issues/85 | https://github.com/huggingface/datasets/pull/85 | 85 | Add boolq | closed | 1 | 2020-05-13T08:32:27 | 2020-05-13T09:09:39 | 2020-05-13T09:09:38 | lhoestq | [] | 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. | true |
617,249,815 | https://api.github.com/repos/huggingface/datasets/issues/84 | https://github.com/huggingface/datasets/pull/84 | 84 | [TedHrLr] add left dummy data | closed | 0 | 2020-05-13T08:27:20 | 2020-05-13T08:29:22 | 2020-05-13T08:29:21 | patrickvonplaten | [] | true | |
616,863,601 | https://api.github.com/repos/huggingface/datasets/issues/83 | https://github.com/huggingface/datasets/pull/83 | 83 | New datasets | closed | 0 | 2020-05-12T18:22:27 | 2020-05-12T18:22:47 | 2020-05-12T18:22:45 | mariamabarham | [] | true | |
616,805,194 | https://api.github.com/repos/huggingface/datasets/issues/82 | https://github.com/huggingface/datasets/pull/82 | 82 | [Datasets] add ted_hrlr | closed | 0 | 2020-05-12T16:46:50 | 2020-05-13T07:52:54 | 2020-05-13T07:52:53 | patrickvonplaten | [] | @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:
2. GLEU: Google-BLEU: https://github.com/cnap/gec-... | true |
616,511,101 | https://api.github.com/repos/huggingface/datasets/issues/74 | https://github.com/huggingface/datasets/pull/74 | 74 | fix overflow check | closed | 0 | 2020-05-12T09:38:01 | 2020-05-12T10:04:39 | 2020-05-12T10:04:38 | lhoestq | [] | 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... | true |
616,417,845 | https://api.github.com/repos/huggingface/datasets/issues/73 | https://github.com/huggingface/datasets/pull/73 | 73 | JSON script | closed | 5 | 2020-05-12T07:11:22 | 2020-05-18T06:50:37 | 2020-05-18T06:50:36 | jplu | [] | Add a JSONS script to read JSON datasets from files. | true |
616,225,010 | https://api.github.com/repos/huggingface/datasets/issues/72 | https://github.com/huggingface/datasets/pull/72 | 72 | [README dummy data tests] README to better understand how the dummy data structure works | closed | 0 | 2020-05-11T22:19:03 | 2020-05-11T22:26:03 | 2020-05-11T22:26:01 | patrickvonplaten | [] | 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".
@... | true |
615,942,180 | https://api.github.com/repos/huggingface/datasets/issues/71 | https://github.com/huggingface/datasets/pull/71 | 71 | Fix arrow writer for big datasets using writer_batch_size | closed | 1 | 2020-05-11T14:45:36 | 2020-05-11T20:09:47 | 2020-05-11T20:00:38 | lhoestq | [] | 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... | true |
615,679,102 | https://api.github.com/repos/huggingface/datasets/issues/70 | https://github.com/huggingface/datasets/pull/70 | 70 | adding RACE, QASC, Super_glue and Tiny_shakespear datasets | closed | 1 | 2020-05-11T08:07:49 | 2020-05-12T13:21:52 | 2020-05-12T13:21:51 | mariamabarham | [] | true | |
615,450,534 | https://api.github.com/repos/huggingface/datasets/issues/69 | https://github.com/huggingface/datasets/pull/69 | 69 | fix cache dir in builder tests | closed | 2 | 2020-05-10T18:39:21 | 2020-05-11T07:19:30 | 2020-05-11T07:19:28 | lhoestq | [] | minor fix | true |
614,882,655 | https://api.github.com/repos/huggingface/datasets/issues/68 | https://github.com/huggingface/datasets/pull/68 | 68 | [CSV] re-add csv | closed | 0 | 2020-05-08T17:38:29 | 2020-05-08T17:40:48 | 2020-05-08T17:40:46 | patrickvonplaten | [] | Re-adding csv under the datasets under construction to keep circle ci happy - will have to see how to include it in the tests.
@lhoestq noticed that I accidently deleted it in https://github.com/huggingface/nlp/pull/63#discussion_r422263729. | true |
614,798,483 | https://api.github.com/repos/huggingface/datasets/issues/67 | https://github.com/huggingface/datasets/pull/67 | 67 | [Tests] Test files locally | closed | 1 | 2020-05-08T15:02:43 | 2020-05-08T19:50:47 | 2020-05-08T15:17:00 | patrickvonplaten | [] | This PR adds a `aws` and a `local` decorator to the tests so that tests now run on the local datasets.
By default, the `aws` is deactivated and `local` is activated and `slow` is deactivated, so that only 1 test per dataset runs on circle ci.
**When local is activated all folders in `./datasets` are tested.**
... | true |
614,748,552 | https://api.github.com/repos/huggingface/datasets/issues/66 | https://github.com/huggingface/datasets/pull/66 | 66 | [Datasets] ReadME | closed | 0 | 2020-05-08T13:37:43 | 2020-05-08T13:39:23 | 2020-05-08T13:39:22 | patrickvonplaten | [] | true | |
614,746,516 | https://api.github.com/repos/huggingface/datasets/issues/65 | https://github.com/huggingface/datasets/pull/65 | 65 | fix math dataset and xcopa | closed | 0 | 2020-05-08T13:33:55 | 2020-05-08T13:35:41 | 2020-05-08T13:35:40 | patrickvonplaten | [] | - fixes math dataset and xcopa, uploaded both of the to S3 | true |
614,737,057 | https://api.github.com/repos/huggingface/datasets/issues/64 | https://github.com/huggingface/datasets/pull/64 | 64 | [Datasets] Make master ready for datasets adding | closed | 0 | 2020-05-08T13:17:00 | 2020-05-08T13:17:31 | 2020-05-08T13:17:30 | patrickvonplaten | [] | Add all relevant files so that datasets can now be added on master | true |
614,666,365 | https://api.github.com/repos/huggingface/datasets/issues/63 | https://github.com/huggingface/datasets/pull/63 | 63 | [Dataset scripts] add all datasets scripts | closed | 0 | 2020-05-08T10:50:15 | 2020-05-08T17:39:22 | 2020-05-08T11:34:00 | patrickvonplaten | [] | As mentioned, we can have the canonical datasets in the master. For now I also want to include all the data as present on S3 to make the synchronization easier when uploading new datastes.
@mariamabarham @lhoestq @thomwolf - what do you think?
If this is ok for you, I can sync up the master with the `add_datase... | true |
614,630,830 | https://api.github.com/repos/huggingface/datasets/issues/62 | https://github.com/huggingface/datasets/pull/62 | 62 | [Cached Path] Better error message | closed | 0 | 2020-05-08T09:39:47 | 2020-05-08T09:45:47 | 2020-05-08T09:45:47 | patrickvonplaten | [] | IMO returning `None` in this function only leads to confusion and is never helpful. | true |
614,607,474 | https://api.github.com/repos/huggingface/datasets/issues/61 | https://github.com/huggingface/datasets/pull/61 | 61 | [Load] rename setup_module to prepare_module | closed | 0 | 2020-05-08T08:54:22 | 2020-05-08T08:56:32 | 2020-05-08T08:56:16 | patrickvonplaten | [] | rename setup_module to prepare_module due to issues with pytests `setup_module` function.
See: PR #59. | true |
614,372,553 | https://api.github.com/repos/huggingface/datasets/issues/60 | https://github.com/huggingface/datasets/pull/60 | 60 | Update to simplify some datasets conversion | closed | 6 | 2020-05-07T22:02:24 | 2020-05-08T10:38:32 | 2020-05-08T10:18:24 | thomwolf | [] | This PR updates the encoding of `Values` like `integers`, `boolean` and `float` to use python casting and avoid having to cast in the dataset scripts, as mentioned here: https://github.com/huggingface/nlp/pull/37#discussion_r420176626
We could also change (not included in this PR yet):
- `supervized_keys` to make t... | true |
614,366,045 | https://api.github.com/repos/huggingface/datasets/issues/59 | https://github.com/huggingface/datasets/pull/59 | 59 | Fix tests | closed | 5 | 2020-05-07T21:48:09 | 2020-05-08T10:57:57 | 2020-05-08T10:46:51 | thomwolf | [] | @patrickvonplaten I've broken a bit the tests with #25 while simplifying and re-organizing the `load.py` and `download_manager.py` scripts.
I'm trying to fix them here but I have a weird error, do you think you can have a look?
```bash
(datasets) MacBook-Pro-de-Thomas:datasets thomwolf$ python -m pytest -sv ./test... | true |
614,362,308 | https://api.github.com/repos/huggingface/datasets/issues/58 | https://github.com/huggingface/datasets/pull/58 | 58 | Aborted PR - Fix tests | closed | 1 | 2020-05-07T21:40:19 | 2020-05-07T21:48:01 | 2020-05-07T21:41:27 | thomwolf | [] | @patrickvonplaten I've broken a bit the tests with #25 while simplifying and re-organizing the `load.py` and `download_manager.py` scripts.
I'm trying to fix them here but I have a weird error, do you think you can have a look?
```bash
(datasets) MacBook-Pro-de-Thomas:datasets thomwolf$ python -m pytest -sv ./test... | true |
614,261,638 | https://api.github.com/repos/huggingface/datasets/issues/57 | https://github.com/huggingface/datasets/pull/57 | 57 | Better cached path | closed | 2 | 2020-05-07T18:36:00 | 2020-05-08T13:20:30 | 2020-05-08T13:20:28 | lhoestq | [] | ### Changes:
- The `cached_path` no longer returns None if the file is missing/the url doesn't work. Instead, it can raise `FileNotFoundError` (missing file), `ConnectionError` (no cache and unreachable url) or `ValueError` (parsing error)
- Fix requests to firebase API that doesn't handle HEAD requests...
- Allow c... | true |
614,236,869 | https://api.github.com/repos/huggingface/datasets/issues/56 | https://github.com/huggingface/datasets/pull/56 | 56 | [Dataset] Tester add mock function | closed | 0 | 2020-05-07T17:51:37 | 2020-05-07T17:52:51 | 2020-05-07T17:52:50 | patrickvonplaten | [] | need to add an empty `extract()` function to make `hansard` dataset test work. | true |
613,968,072 | https://api.github.com/repos/huggingface/datasets/issues/55 | https://github.com/huggingface/datasets/pull/55 | 55 | Beam datasets | closed | 4 | 2020-05-07T11:04:32 | 2020-05-11T07:20:02 | 2020-05-11T07:20:00 | lhoestq | [] | # Beam datasets
## Intro
Beam Datasets are using beam pipelines for preprocessing (basically lots of `.map` over objects called PCollections).
The advantage of apache beam is that you can choose which type of runner you want to use to preprocess your data. The main runners are:
- the `DirectRunner` to run the p... | true |
613,513,348 | https://api.github.com/repos/huggingface/datasets/issues/54 | https://github.com/huggingface/datasets/pull/54 | 54 | [Tests] Improved Error message for dummy folder structure | closed | 0 | 2020-05-06T18:11:48 | 2020-05-06T18:13:00 | 2020-05-06T18:12:59 | patrickvonplaten | [] | Improved Error message | true |
613,436,158 | https://api.github.com/repos/huggingface/datasets/issues/53 | https://github.com/huggingface/datasets/pull/53 | 53 | [Features] Typo in generate_from_dict | closed | 0 | 2020-05-06T16:05:23 | 2020-05-07T15:28:46 | 2020-05-07T15:28:45 | patrickvonplaten | [] | Change `isinstance` test in features when generating features from dict. | true |
613,339,071 | https://api.github.com/repos/huggingface/datasets/issues/52 | https://github.com/huggingface/datasets/pull/52 | 52 | allow dummy folder structure to handle dict of lists | closed | 0 | 2020-05-06T13:54:35 | 2020-05-06T13:55:19 | 2020-05-06T13:55:18 | patrickvonplaten | [] | `esnli.py` needs that extension of the dummy data testing. | true |
613,266,668 | https://api.github.com/repos/huggingface/datasets/issues/51 | https://github.com/huggingface/datasets/pull/51 | 51 | [Testing] Improved testing structure | closed | 1 | 2020-05-06T12:03:07 | 2020-05-07T22:07:19 | 2020-05-06T13:20:18 | patrickvonplaten | [] | This PR refactors the test design a bit and puts the mock download manager in the `utils` files as it is just a test helper class.
as @mariamabarham pointed out, creating a dummy folder structure can be quite hard to grasp.
This PR tries to change that to some extent.
It follows the following logic for the `dumm... | true |
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