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```
dataset = nlp.load_dataset('cos_e')
tokenizer = GPT2TokenizerFast.from_pretrained('gpt2', cache_dir=cache_dir)
for split in ... | value:https://api.github.com/repos/huggingface/datasets/issues/257/comments | value:MDU6SXNzdWU2MzU2MjA5Nzk= | value:closed | value:2 | value:2020-06-10T21:45:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/257/labels{/name} | value:257 | json:{"login": "sarahwie", "id": 8027676, "node_id": "MDQ6VXNlcjgwMjc2NzY=", "avatar_url": "https://avatars.githubusercontent.com/u/8027676?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sarahwie", "html_url": "https://github.com/sarahwie", "followers_url": "https://api.github.com/users/sarahwie/follower... | true | ||||||||
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But it is a important use case : After applying some preprocessing, some samples might be empty for example. We should be able to remove these samples from the dataset, or at least mark them as `removed` so when iterating the ... | value:https://api.github.com/repos/huggingface/datasets/issues/254/comments | value:MDU6SXNzdWU2MzUwNTc1Njg= | value:closed | value:1 | value:2020-06-09T08:41:38Z | value:https://api.github.com/repos/huggingface/datasets/issues/254/labels{/name} | value:254 | json:{"login": "astariul", "id": 43774355, "node_id": "MDQ6VXNlcjQzNzc0MzU1", "avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4", "gravatar_id": "", "url": "https://api.github.com/users/astariul", "html_url": "https://github.com/astariul", "followers_url": "https://api.github.com/users/astariul/follow... | true | ||||||||
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I am trying to load the `imdb` dataset with this line:
`dataset = nlp.load_dataset('imdb', data_dir='/A/PATH', cache_dir='/A/PATH')`
but I am getting the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/mounts/Users/cisintern/antmarakis/anac... | value:https://api.github.com/repos/huggingface/datasets/issues/252/comments | value:MDU6SXNzdWU2MzQ1NjMyMzk= | value:closed | value:4 | value:2021-08-27T15:20:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/252/labels{/name} | value:252 | json:{"login": "antmarakis", "id": 17463361, "node_id": "MDQ6VXNlcjE3NDYzMzYx", "avatar_url": "https://avatars.githubusercontent.com/u/17463361?v=4", "gravatar_id": "", "url": "https://api.github.com/users/antmarakis", "html_url": "https://github.com/antmarakis", "followers_url": "https://api.github.com/users/antmaraki... | true | ||||||||
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This way it's easier to access `dataset.feature['label']` for instance
Also, add the original split instructions used to create the dataset in `dataset.split`
Ex:
```
from nlp import load_dataset
stsb = load_dataset('glue',... | value:https://api.github.com/repos/huggingface/datasets/issues/251/comments | value:MDExOlB1bGxSZXF1ZXN0NDMxMDgwMDkw | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/251", "html_url": "https://github.com/huggingface/datasets/pull/251", "diff_url": "https://github.com/huggingface/datasets/pull/251.diff", "patch_url": "https://github.com/huggingface/datasets/pull/251.patch", "merged_at": "2020-06-12T08:12:58Z"} | value:2020-06-12T08:13:00Z | value:https://api.github.com/repos/huggingface/datasets/issues/251/labels{/name} | value:251 | json:{"login": "thomwolf", "id": 7353373, "node_id": "MDQ6VXNlcjczNTMzNzM=", "avatar_url": "https://avatars.githubusercontent.com/u/7353373?v=4", "gravatar_id": "", "url": "https://api.github.com/users/thomwolf", "html_url": "https://github.com/thomwolf", "followers_url": "https://api.github.com/users/thomwolf/follower... | value:False | true | |||||||||
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But I have encountered several problems when I was creating it, and those should be easy to fix.
1. Not found dataset_info.json
should be fixed by #241 , eager to wait it be merged.
2. Forced to install `apach_beam`
If we should install it, the... | value:https://api.github.com/repos/huggingface/datasets/issues/249/comments | value:MDU6SXNzdWU2MzMzOTM0NDM= | value:closed | value:2 | value:2020-06-12T08:28:51Z | value:https://api.github.com/repos/huggingface/datasets/issues/249/labels{/name} | value:249 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | true | |||||||
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- After I downloaded it, I found it is all non-english, and only have one row.
- It seems that it cites the wrong paper
- according to papar using it, it is called `BooksCorpus` but not `TornotoBooksCorpus`
2. It use a text mirror in google drive
- `book... | value:https://api.github.com/repos/huggingface/datasets/issues/248/comments | value:MDExOlB1bGxSZXF1ZXN0NDMwMDQ0MzU0 | value:closed | value:11 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/248", "html_url": "https://github.com/huggingface/datasets/pull/248", "diff_url": "https://github.com/huggingface/datasets/pull/248.diff", "patch_url": "https://github.com/huggingface/datasets/pull/248.patch", "merged_at": "2020-06-12T08:45:02Z"} | value:2020-06-12T08:45:03Z | value:https://api.github.com/repos/huggingface/datasets/issues/248/labels{/name} | value:248 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | value:False | true | |||||||||
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Are there other "non-deterministic" functions apart from `glob.glob()` and `os.listdir()` that you can think of @thomwolf @lhoestq @mariamabarham @jplu ?
**Important**
It does break back... | value:https://api.github.com/repos/huggingface/datasets/issues/247/comments | value:MDExOlB1bGxSZXF1ZXN0NDI5MTMwMzQ2 | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/247", "html_url": "https://github.com/huggingface/datasets/pull/247", "diff_url": "https://github.com/huggingface/datasets/pull/247.diff", "patch_url": "https://github.com/huggingface/datasets/pull/247.patch", "merged_at": "2020-06-08T09:18:14Z"} | value:2020-06-08T09:18:16Z | value:https://api.github.com/repos/huggingface/datasets/issues/247/labels{/name} | value:247 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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```
@st.cache
def load_data():
return nlp.load_dataset('squad')
```
This code raises the error "uncachable object"
Right now I just fixed with a constant for my specific case:
```
@st.cache(hash_funcs={pyarrow.lib.Buffer: lambda b: 0}... | value:https://api.github.com/repos/huggingface/datasets/issues/246/comments | value:MDU6SXNzdWU2MzIzODAwNTQ= | value:closed | value:2 | value:2020-07-09T09:15:07Z | value:https://api.github.com/repos/huggingface/datasets/issues/246/labels{/name} | value:246 | json:{"login": "Mistobaan", "id": 112599, "node_id": "MDQ6VXNlcjExMjU5OQ==", "avatar_url": "https://avatars.githubusercontent.com/u/112599?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Mistobaan", "html_url": "https://github.com/Mistobaan", "followers_url": "https://api.github.com/users/Mistobaan/follow... | true | ||||||||
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```
>>> import nlp
>>> glue = nlp.load_dataset('glue', 'sst2')
>>> glue
{'train': Dataset(schema: {'sentence': 'string', 'label': 'int64', 'idx': 'int32'}, num_rows: 67349), 'validation': Dataset(schema: {'sentence... | value:https://api.github.com/repos/huggingface/datasets/issues/245/comments | value:MDU6SXNzdWU2MzE5ODUxMDg= | value:closed | value:10 | value:2021-12-08T00:47:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/245/labels{/name} | value:245 | json:{"login": "jxmorris12", "id": 13238952, "node_id": "MDQ6VXNlcjEzMjM4OTUy", "avatar_url": "https://avatars.githubusercontent.com/u/13238952?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jxmorris12", "html_url": "https://github.com/jxmorris12", "followers_url": "https://api.github.com/users/jxmorris1... | true | ||||||||
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Basically, it's a french "IMDB" dataset, with more reviews.
More info on [this repo](https://github.com/TheophileBlard/french-sentiment-analysis-with-bert). | value:https://api.github.com/repos/huggingface/datasets/issues/244/comments | value:MDExOlB1bGxSZXF1ZXN0NDI4NjgxMTcx | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/244", "html_url": "https://github.com/huggingface/datasets/pull/244", "diff_url": "https://github.com/huggingface/datasets/pull/244.diff", "patch_url": "https://github.com/huggingface/datasets/pull/244.patch", "merged_at": "2020-06-11T07:47:26Z"} | value:2020-06-11T07:47:26Z | value:https://api.github.com/repos/huggingface/datasets/issues/244/labels{/name} | value:244 | json:{"login": "TheophileBlard", "id": 37028092, "node_id": "MDQ6VXNlcjM3MDI4MDky", "avatar_url": "https://avatars.githubusercontent.com/u/37028092?v=4", "gravatar_id": "", "url": "https://api.github.com/users/TheophileBlard", "html_url": "https://github.com/TheophileBlard", "followers_url": "https://api.github.com/use... | value:False | true | |||||||||
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This makes the GLUE-MNLI dataset readable on my machine, not sure if it's a Windows-only bug. | value:https://api.github.com/repos/huggingface/datasets/issues/243/comments | value:MDExOlB1bGxSZXF1ZXN0NDI4NTY2MTEy | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/243", "html_url": "https://github.com/huggingface/datasets/pull/243", "diff_url": "https://github.com/huggingface/datasets/pull/243.diff", "patch_url": "https://github.com/huggingface/datasets/pull/243.patch", "merged_at": "2020-06-08T08:42:01Z"} | value:2020-06-17T21:16:06Z | value:https://api.github.com/repos/huggingface/datasets/issues/243/labels{/name} | value:243 | json:{"login": "patpizio", "id": 15801338, "node_id": "MDQ6VXNlcjE1ODAxMzM4", "avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patpizio", "html_url": "https://github.com/patpizio", "followers_url": "https://api.github.com/users/patpizio/follow... | value:False | true | |||||||||
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```python
dataset = nlp.load_dataset('glue', 'mnli')
```
I get an encoding error (could it be because I'm using Windows?) :
```python
# Lots of error log lines later...
~\Miniconda3\envs\nlp\lib\site-packages\tqdm\std.py in __iter__(self)
1128 try:
-> 1129 for obj in ite... | value:https://api.github.com/repos/huggingface/datasets/issues/242/comments | value:MDU6SXNzdWU2MzE3MzM2ODM= | value:closed | value:2 | value:2020-06-09T16:06:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/242/labels{/name} | value:242 | json:{"login": "patpizio", "id": 15801338, "node_id": "MDQ6VXNlcjE1ODAxMzM4", "avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patpizio", "html_url": "https://github.com/patpizio", "followers_url": "https://api.github.com/users/patpizio/follow... | true | ||||||||
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```python
import nlp
dataset = nlp.load_dataset("trivia_qa", split="validation[:1%]")
```
the resulting dataset is not deterministic over different google colabs.
After talking to @thomwolf, I suspect the reason to be the use of `glob.glob` in line:
https://github.com/huggingface/nlp/bl... | value:https://api.github.com/repos/huggingface/datasets/issues/240/comments | value:MDU6SXNzdWU2MzE0MzQ2Nzc= | value:closed | value:4 | value:2020-06-08T09:18:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/240/labels{/name} | value:240 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | true | ||||||||
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I ran
`~/nlp % python nlp-cli test datasets/bookcorpus --save_infos --all_configs`
but this doesn't create `dataset_info.json` and try to use it
```
INFO:nlp.load:Checking datasets/bookcorpus/bookcorpus.py for additional imports.
INFO:filelock:Lock 1397... | value:https://api.github.com/repos/huggingface/datasets/issues/239/comments | value:MDU6SXNzdWU2MzEzNDA0NDA= | value:closed | value:5 | value:2020-06-07T13:01:04Z | value:https://api.github.com/repos/huggingface/datasets/issues/239/labels{/name} | value:239 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | true | |||||||
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> Warning: Empty candidate sentence; Setting recall to be 0.
Code :
```
import nlp
metric = nlp.load_metric("bertscore")
scores = metric.compute(["swag", "swags"], ["swags", "totally something different"], lang="en", device=0)
```
---
**What a... | value:https://api.github.com/repos/huggingface/datasets/issues/238/comments | value:MDU6SXNzdWU2MzEyNjAxNDM= | value:closed | value:1 | value:2020-06-29T17:10:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/238/labels{/name} | value:238 | json:{"login": "astariul", "id": 43774355, "node_id": "MDQ6VXNlcjQzNzc0MzU1", "avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4", "gravatar_id": "", "url": "https://api.github.com/users/astariul", "html_url": "https://github.com/astariul", "followers_url": "https://api.github.com/users/astariul/follow... | true | ||||||||
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```python
dataset = load_dataset('multi_nli')
```
I get this long error:
```python
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-13-3b11f6be4cb9>... | value:https://api.github.com/repos/huggingface/datasets/issues/237/comments | value:MDU6SXNzdWU2MzExOTk5NDA= | value:closed | value:3 | value:2020-06-06T10:51:34Z | value:https://api.github.com/repos/huggingface/datasets/issues/237/labels{/name} | value:237 | json:{"login": "patpizio", "id": 15801338, "node_id": "MDQ6VXNlcjE1ODAxMzM4", "avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patpizio", "html_url": "https://github.com/patpizio", "followers_url": "https://api.github.com/users/patpizio/follow... | true | ||||||||
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Thanks for the amazing library that you put together. I'm Alessandro Suglia, the first author of CompGuessWhat?!, a recently released dataset for grounded language learning accepted to ACL 2020 ([https://compguesswhat.github.io](https://compguesswhat.github.io)).
This pull-request adds the CompGuessW... | value:https://api.github.com/repos/huggingface/datasets/issues/236/comments | value:MDExOlB1bGxSZXF1ZXN0NDI4MDUwNzI4 | value:closed | value:9 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/236", "html_url": "https://github.com/huggingface/datasets/pull/236", "diff_url": "https://github.com/huggingface/datasets/pull/236.diff", "patch_url": "https://github.com/huggingface/datasets/pull/236.patch", "merged_at": "2020-06-11T07:45:21Z"} | value:2020-06-11T09:43:42Z | value:https://api.github.com/repos/huggingface/datasets/issues/236/labels{/name} | value:236 | json:{"login": "aleSuglia", "id": 1479733, "node_id": "MDQ6VXNlcjE0Nzk3MzM=", "avatar_url": "https://avatars.githubusercontent.com/u/1479733?v=4", "gravatar_id": "", "url": "https://api.github.com/users/aleSuglia", "html_url": "https://github.com/aleSuglia", "followers_url": "https://api.github.com/users/aleSuglia/foll... | value:False | true | |||||||||
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After using the 🤗nlp library for some time, I find that while it makes it super easy to create new memory-mapped datasets with lots of cool utilities, a lot of what I want to do doesn't work well with the current `MockDownloader` based testing paradigm, making it ha... | value:https://api.github.com/repos/huggingface/datasets/issues/235/comments | value:MDExOlB1bGxSZXF1ZXN0NDI3OTM1MjQ0 | value:closed | value:6 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/235", "html_url": "https://github.com/huggingface/datasets/pull/235", "diff_url": "https://github.com/huggingface/datasets/pull/235.diff", "patch_url": "https://github.com/huggingface/datasets/pull/235.patch", "merged_at": "2020-06-12T15:38:55Z"} | value:2020-06-12T15:38:55Z | value:https://api.github.com/repos/huggingface/datasets/issues/235/labels{/name} | value:235 | json:{"login": "yjernite", "id": 10469459, "node_id": "MDQ6VXNlcjEwNDY5NDU5", "avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yjernite", "html_url": "https://github.com/yjernite", "followers_url": "https://api.github.com/users/yjernite/follow... | value:False | true | |||||||||
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Does anyone know how we can call our custom dataset using the nlp.load command? Let's say that I have a dataset based on the same format as that of squad-v1.1, how am I supposed to load it using huggingface nlp.
Thank you! | value:https://api.github.com/repos/huggingface/datasets/issues/234/comments | value:MDU6SXNzdWU2MzA1MzQ0Mjc= | value:closed | value:4 | value:2020-07-06T09:33:26Z | value:https://api.github.com/repos/huggingface/datasets/issues/234/labels{/name} | value:234 | json:{"login": "Nouman97", "id": 42269506, "node_id": "MDQ6VXNlcjQyMjY5NTA2", "avatar_url": "https://avatars.githubusercontent.com/u/42269506?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Nouman97", "html_url": "https://github.com/Nouman97", "followers_url": "https://api.github.com/users/Nouman97/follow... | true | ||||||||
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```
dataset = nlp.load_dataset('c4', 'en', beam_runner='DirectRunner'
, data_dir='/mypath')
```
and i met failure as follows
```
Downloading and preparing dataset c4/en (download: Unknown size, generated: Unknown size, total: Unknown size) to /home/... | value:https://api.github.com/repos/huggingface/datasets/issues/233/comments | value:MDU6SXNzdWU2MzA0MzIxMzI= | value:closed | value:5 | value:2021-01-08T07:17:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/233/labels{/name} | value:233 | json:{"login": "donggyukimc", "id": 16605764, "node_id": "MDQ6VXNlcjE2NjA1NzY0", "avatar_url": "https://avatars.githubusercontent.com/u/16605764?v=4", "gravatar_id": "", "url": "https://api.github.com/users/donggyukimc", "html_url": "https://github.com/donggyukimc", "followers_url": "https://api.github.com/users/donggy... | true | ||||||||
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As mentioned in #181, I had to use the new endpoints and revert the use of dataclasses (just in case we have changes in the API in the future).
We now distinguish commands for datasets and commands for metrics:
```bash
nlp-cli uploa... | value:https://api.github.com/repos/huggingface/datasets/issues/232/comments | value:MDExOlB1bGxSZXF1ZXN0NDI3MjI5NDcy | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/232", "html_url": "https://github.com/huggingface/datasets/pull/232", "diff_url": "https://github.com/huggingface/datasets/pull/232.diff", "patch_url": "https://github.com/huggingface/datasets/pull/232.patch", "merged_at": "2020-06-08T09:02:57Z"} | value:2020-06-08T09:02:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/232/labels{/name} | value:232 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
F... | value:https://api.github.com/repos/huggingface/datasets/issues/228/comments | value:MDU6SXNzdWU2Mjk5NTI0MDI= | value:closed | value:4 | value:2020-07-17T17:44:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/228/labels{/name} | value:228 | json:{"login": "aswin-giridhar", "id": 11817160, "node_id": "MDQ6VXNlcjExODE3MTYw", "avatar_url": "https://avatars.githubusercontent.com/u/11817160?v=4", "gravatar_id": "", "url": "https://api.github.com/users/aswin-giridhar", "html_url": "https://github.com/aswin-giridhar", "followers_url": "https://api.github.com/use... | true | |||||||
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But at the first try, it tell me to install `apache_beam` and `mwparserfromhell`, which I thought wouldn't be used according to #204 , it was kind of confusing me at that time.
Mayb... | value:https://api.github.com/repos/huggingface/datasets/issues/227/comments | value:MDU6SXNzdWU2Mjk4NDU3MDQ= | value:closed | value:3 | value:2020-06-03T15:25:41Z | value:https://api.github.com/repos/huggingface/datasets/issues/227/labels{/name} | value:227 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | true | |||||||
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Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.145743... | value:https://api.github.com/repos/huggingface/datasets/issues/225/comments | value:MDU6SXNzdWU2MjgwODMzNjY= | value:closed | value:3 | value:2020-06-03T15:27:18Z | value:https://api.github.com/repos/huggingface/datasets/issues/225/labels{/name} | value:225 | json:{"login": "astariul", "id": 43774355, "node_id": "MDQ6VXNlcjQzNzc0MzU1", "avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4", "gravatar_id": "", "url": "https://api.github.com/users/astariul", "html_url": "https://github.com/astariul", "followers_url": "https://api.github.com/users/astariul/follow... | true | |||||||
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I think it would be interesting to add the FLUE dataset for francophones or anyone wishing to work on French.
In other requests, I read that you are already working on some datasets, and I was wondering if FLUE was planned.
If it is not the case, I can provide each of the cleaned FLUE datasets (in th... | value:https://api.github.com/repos/huggingface/datasets/issues/223/comments | value:MDU6SXNzdWU2Mjc2ODMzODY= | value:closed | value:3 | value:2020-12-03T13:39:33Z | value:https://api.github.com/repos/huggingface/datasets/issues/223/labels{/name} | value:223 | json:{"login": "lbourdois", "id": 58078086, "node_id": "MDQ6VXNlcjU4MDc4MDg2", "avatar_url": "https://avatars.githubusercontent.com/u/58078086?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lbourdois", "html_url": "https://github.com/lbourdois", "followers_url": "https://api.github.com/users/lbourdois/fo... | true | ||||||||
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https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:

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However they are not processed nor directly available from gcp yet. | value:https://api.github.com/repos/huggingface/datasets/issues/218/comments | value:MDExOlB1bGxSZXF1ZXN0NDI1MDI2NzEz | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/218", "html_url": "https://github.com/huggingface/datasets/pull/218", "diff_url": "https://github.com/huggingface/datasets/pull/218.diff", "patch_url": "https://github.com/huggingface/datasets/pull/218.patch", "merged_at": "2020-05-29T12:31:00Z"} | value:2020-05-29T12:31:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/218/labels{/name} | value:218 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing**... | value:https://api.github.com/repos/huggingface/datasets/issues/217/comments | value:MDU6SXNzdWU2MjcxMjg0MDM= | value:closed | value:30 | value:2026-10-01T13:01:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/217/labels{/name} | value:217 | json:{"login": "ghomasHudson", "id": 13795113, "node_id": "MDQ6VXNlcjEzNzk1MTEz", "avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ghomasHudson", "html_url": "https://github.com/ghomasHudson", "followers_url": "https://api.github.com/users/gho... | true | ||||||||
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---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
`... | value:https://api.github.com/repos/huggingface/datasets/issues/216/comments | value:MDU6SXNzdWU2MjY4OTY4OTA= | value:closed | value:3 | value:2020-06-01T00:04:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/216/labels{/name} | value:216 | json:{"login": "astariul", "id": 43774355, "node_id": "MDQ6VXNlcjQzNzc0MzU1", "avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4", "gravatar_id": "", "url": "https://api.github.com/users/astariul", "html_url": "https://github.com/astariul", "followers_url": "https://api.github.com/users/astariul/follow... | true | ||||||||
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```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
're... | value:https://api.github.com/repos/huggingface/datasets/issues/215/comments | value:MDU6SXNzdWU2MjY4Njc4Nzk= | value:closed | value:12 | value:2025-01-04T00:03:12Z | value:https://api.github.com/repos/huggingface/datasets/issues/215/labels{/name} | value:215 | json:{"login": "cedricconol", "id": 52105365, "node_id": "MDQ6VXNlcjUyMTA1MzY1", "avatar_url": "https://avatars.githubusercontent.com/u/52105365?v=4", "gravatar_id": "", "url": "https://api.github.com/users/cedricconol", "html_url": "https://github.com/cedricconol", "followers_url": "https://api.github.com/users/cedric... | true | ||||||||
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I think, filtering out examples is also a very common operation people would like to perform on datasets.
This PR is a proposal to add a `.filter()` function in the same spirit than the `.map()` function.
Here... | value:https://api.github.com/repos/huggingface/datasets/issues/214/comments | value:MDExOlB1bGxSZXF1ZXN0NDI0NTk1NjIx | value:closed | value:13 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/214", "html_url": "https://github.com/huggingface/datasets/pull/214", "diff_url": "https://github.com/huggingface/datasets/pull/214.diff", "patch_url": "https://github.com/huggingface/datasets/pull/214.patch", "merged_at": "2020-05-29T11:32:20Z"} | value:2020-05-29T11:43:29Z | value:https://api.github.com/repos/huggingface/datasets/issues/214/labels{/name} | value:214 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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For example:
```python
dataset = nlp.load_dataset('wikipedia', '20200501.aa')
```
Raises:
```
MissingBeamOptions: Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided in `load_dataset` or in the builder arguments. For big datasets it has... | value:https://api.github.com/repos/huggingface/datasets/issues/213/comments | value:MDExOlB1bGxSZXF1ZXN0NDI0NTUxODE3 | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/213", "html_url": "https://github.com/huggingface/datasets/pull/213", "diff_url": "https://github.com/huggingface/datasets/pull/213.diff", "patch_url": "https://github.com/huggingface/datasets/pull/213.patch", "merged_at": "2020-05-29T09:51:16Z"} | value:2020-05-29T09:51:17Z | value:https://api.github.com/repos/huggingface/datasets/issues/213/labels{/name} | value:213 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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Previously the `.add` method of metrics expected a batch of examples.
Now `.add` expects one prediction/reference and `.add_batch` expects a batch.
I think it is more coherent with the way the ArrowWriter works. | value:https://api.github.com/repos/huggingface/datasets/issues/212/comments | value:MDExOlB1bGxSZXF1ZXN0NDI0NTQ1NjAy | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/212", "html_url": "https://github.com/huggingface/datasets/pull/212", "diff_url": "https://github.com/huggingface/datasets/pull/212.diff", "patch_url": "https://github.com/huggingface/datasets/pull/212.patch", "merged_at": "2020-05-29T10:41:04Z"} | value:2020-05-29T10:41:05Z | value:https://api.github.com/repos/huggingface/datasets/issues/212/labels{/name} | value:212 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: convertin... | value:https://api.github.com/repos/huggingface/datasets/issues/211/comments | value:MDU6SXNzdWU2MjY1NjU5OTQ= | value:closed | value:7 | value:2020-07-23T10:15:16Z | value:https://api.github.com/repos/huggingface/datasets/issues/211/labels{/name} | value:211 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | true | |||||||
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One of my dataset is small (< 25Mo) so it can be verified by Drive without asking the authorization to the user. This makes the download starts di... | value:https://api.github.com/repos/huggingface/datasets/issues/209/comments | value:MDExOlB1bGxSZXF1ZXN0NDI0NDAwOTc4 | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/209", "html_url": "https://github.com/huggingface/datasets/pull/209", "diff_url": "https://github.com/huggingface/datasets/pull/209.diff", "patch_url": "https://github.com/huggingface/datasets/pull/209.patch", "merged_at": "2020-05-28T15:15:04Z"} | value:2020-05-28T15:15:04Z | value:https://api.github.com/repos/huggingface/datasets/issues/209/labels{/name} | value:209 | json:{"login": "airKlizz", "id": 25703835, "node_id": "MDQ6VXNlcjI1NzAzODM1", "avatar_url": "https://avatars.githubusercontent.com/u/25703835?v=4", "gravatar_id": "", "url": "https://api.github.com/users/airKlizz", "html_url": "https://github.com/airKlizz", "followers_url": "https://api.github.com/users/airKlizz/follow... | value:False | true | |||||||||
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Also, @lhoestq fixed small import bug introduced by beam command I think. | value:https://api.github.com/repos/huggingface/datasets/issues/208/comments | value:MDExOlB1bGxSZXF1ZXN0NDI0Mzk0ODIx | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/208", "html_url": "https://github.com/huggingface/datasets/pull/208", "diff_url": "https://github.com/huggingface/datasets/pull/208.diff", "patch_url": "https://github.com/huggingface/datasets/pull/208.patch", "merged_at": "2020-05-28T12:48:00Z"} | value:2020-05-28T12:48:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/208/labels{/name} | value:208 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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I am using ``nlp`` to load personal datasets. I created summarization datasets in multi-languages based on wikinews. I have one dataset for english and one for german (french is getting to be ready as well). I want to keep these datasets independent because they need different pre-processing (add different... | value:https://api.github.com/repos/huggingface/datasets/issues/206/comments | value:MDU6SXNzdWU2MjU4NDI5ODk= | value:closed | value:2 | value:2020-06-10T09:11:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/206/labels{/name} | value:206 | json:{"login": "airKlizz", "id": 25703835, "node_id": "MDQ6VXNlcjI1NzAzODM1", "avatar_url": "https://avatars.githubusercontent.com/u/25703835?v=4", "gravatar_id": "", "url": "https://api.github.com/users/airKlizz", "html_url": "https://github.com/airKlizz", "followers_url": "https://api.github.com/users/airKlizz/follow... | true | ||||||||
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With these changes I should be able to come up with a `tf.data.Dataset` that uses lazy loading, as asked in #19... | value:https://api.github.com/repos/huggingface/datasets/issues/205/comments | value:MDExOlB1bGxSZXF1ZXN0NDIzOTY2ODE1 | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/205", "html_url": "https://github.com/huggingface/datasets/pull/205", "diff_url": "https://github.com/huggingface/datasets/pull/205.diff", "patch_url": "https://github.com/huggingface/datasets/pull/205.patch", "merged_at": "2020-05-27T16:39:56Z"} | value:2020-05-27T16:39:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/205/labels{/name} | value:205 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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## Support datasets processing with Apache Beam
Some datasets are too big to be processed on a single machine, for example: wikipedia, wiki40b, etc. Apache Beam allows to process datasets on many execution engines like Dataflow, Spark, Flink, etc.
To process s... | value:https://api.github.com/repos/huggingface/datasets/issues/204/comments | value:MDExOlB1bGxSZXF1ZXN0NDIzODE5MTQw | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/204", "html_url": "https://github.com/huggingface/datasets/pull/204", "diff_url": "https://github.com/huggingface/datasets/pull/204.diff", "patch_url": "https://github.com/huggingface/datasets/pull/204.patch", "merged_at": "2020-05-28T08:10:34Z"} | value:2020-05-28T08:10:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/204/labels{/name} | value:204 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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For example for glue there are cola, sst2, mrpc etc.
Currently if a user does `load_dataset('glue')`, then Cola is loaded by default and it can be confusing. Instead, we should raise an error to let the user know that he ha... | value:https://api.github.com/repos/huggingface/datasets/issues/203/comments | value:MDExOlB1bGxSZXF1ZXN0NDIzNzEyMTQ3 | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/203", "html_url": "https://github.com/huggingface/datasets/pull/203", "diff_url": "https://github.com/huggingface/datasets/pull/203.diff", "patch_url": "https://github.com/huggingface/datasets/pull/203.patch", "merged_at": "2020-05-27T16:40:38Z"} | value:2020-05-27T16:40:39Z | value:https://api.github.com/repos/huggingface/datasets/issues/203/labels{/name} | value:203 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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The [`_KWARGS_DESCRIPTION`](https://github.com/huggingface/nlp/blob/7d0fa58641f3f462fb2861dcdd6ce7f0da3f6a56/metrics/xnli/xnli.py#L45) for the XNLI metric uses `Args` and `Returns` text from [BLEU](https://github.com/huggingface/nlp/blob/7d0fa58641f3f462fb2861dcdd6ce7f0da3f6a56/metrics/bleu/bleu.py#L58) me... | value:https://api.github.com/repos/huggingface/datasets/issues/202/comments | value:MDU6SXNzdWU2MjU0OTM5ODM= | value:closed | value:1 | value:2020-05-28T13:22:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/202/labels{/name} | value:202 | json:{"login": "phiyodr", "id": 33572125, "node_id": "MDQ6VXNlcjMzNTcyMTI1", "avatar_url": "https://avatars.githubusercontent.com/u/33572125?v=4", "gravatar_id": "", "url": "https://api.github.com/users/phiyodr", "html_url": "https://github.com/phiyodr", "followers_url": "https://api.github.com/users/phiyodr/followers"... | true | ||||||||
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I noticed that it was not done if the first example is added via `.write`, so I added it for coherence. | value:https://api.github.com/repos/huggingface/datasets/issues/200/comments | value:MDExOlB1bGxSZXF1ZXN0NDIzNDg2NTM0 | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/200", "html_url": "https://github.com/huggingface/datasets/pull/200", "diff_url": "https://github.com/huggingface/datasets/pull/200.diff", "patch_url": "https://github.com/huggingface/datasets/pull/200.patch", "merged_at": "2020-05-27T09:07:53Z"} | value:2020-05-27T09:07:54Z | value:https://api.github.com/repos/huggingface/datasets/issues/200/labels{/name} | value:200 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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this PR just removes the `dataset_info.json` file and adds a newly generated `dataset_infos.json` file. | value:https://api.github.com/repos/huggingface/datasets/issues/199/comments | value:MDExOlB1bGxSZXF1ZXN0NDIzNDc4ODIx | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/199", "html_url": "https://github.com/huggingface/datasets/pull/199", "diff_url": "https://github.com/huggingface/datasets/pull/199.diff", "patch_url": "https://github.com/huggingface/datasets/pull/199.patch", "merged_at": "2020-05-26T21:50:24Z"} | value:2020-05-26T21:50:24Z | value:https://api.github.com/repos/huggingface/datasets/issues/199/labels{/name} | value:199 | json:{"login": "stefan-it", "id": 20651387, "node_id": "MDQ6VXNlcjIwNjUxMzg3", "avatar_url": "https://avatars.githubusercontent.com/u/20651387?v=4", "gravatar_id": "", "url": "https://api.github.com/users/stefan-it", "html_url": "https://github.com/stefan-it", "followers_url": "https://api.github.com/users/stefan-it/fo... | value:False | true | |||||||||
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> ValueError: Index (2000) outside of table length (2000).
> Traceback:
> File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, ... | value:https://api.github.com/repos/huggingface/datasets/issues/198/comments | value:MDU6SXNzdWU2MjUyMDA2Mjc= | value:closed | value:2 | value:2020-05-26T22:43:49Z | value:https://api.github.com/repos/huggingface/datasets/issues/198/labels{/name} | value:198 | json:{"login": "casajarm", "id": 305717, "node_id": "MDQ6VXNlcjMwNTcxNw==", "avatar_url": "https://avatars.githubusercontent.com/u/305717?v=4", "gravatar_id": "", "url": "https://api.github.com/users/casajarm", "html_url": "https://github.com/casajarm", "followers_url": "https://api.github.com/users/casajarm/followers"... | true | ||||||||
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I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloadi... | value:https://api.github.com/repos/huggingface/datasets/issues/197/comments | value:MDU6SXNzdWU2MjQ5NjY5MDQ= | value:closed | value:3 | value:2020-05-28T08:19:28Z | value:https://api.github.com/repos/huggingface/datasets/issues/197/labels{/name} | value:197 | json:{"login": "antmarakis", "id": 17463361, "node_id": "MDQ6VXNlcjE3NDYzMzYx", "avatar_url": "https://avatars.githubusercontent.com/u/17463361?v=4", "gravatar_id": "", "url": "https://api.github.com/users/antmarakis", "html_url": "https://github.com/antmarakis", "followers_url": "https://api.github.com/users/antmaraki... | true | ||||||||
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Bad characters are those that are not allowed for directory names on windows. | value:https://api.github.com/repos/huggingface/datasets/issues/196/comments | value:MDExOlB1bGxSZXF1ZXN0NDIzMjIwMjIw | value:closed | value:13 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/196", "html_url": "https://github.com/huggingface/datasets/pull/196", "diff_url": "https://github.com/huggingface/datasets/pull/196.diff", "patch_url": "https://github.com/huggingface/datasets/pull/196.patch", "merged_at": "2020-05-26T21:04:55Z"} | value:2020-05-26T21:04:56Z | value:https://api.github.com/repos/huggingface/datasets/issues/196/labels{/name} | value:196 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
... | value:https://api.github.com/repos/huggingface/datasets/issues/193/comments | value:MDU6SXNzdWU2MjQ2NTU1NTg= | value:closed | value:7 | value:2020-10-27T15:28:11Z | value:https://api.github.com/repos/huggingface/datasets/issues/193/labels{/name} | value:193 | json:{"login": "astariul", "id": 43774355, "node_id": "MDQ6VXNlcjQzNzc0MzU1", "avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4", "gravatar_id": "", "url": "https://api.github.com/users/astariul", "html_url": "https://github.com/astariul", "followers_url": "https://api.github.com/users/astariul/follow... | true | |||||||
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Is the worth of send it to you and... | value:https://api.github.com/repos/huggingface/datasets/issues/192/comments | value:MDU6SXNzdWU2MjQzOTc1OTI= | value:closed | value:4 | value:2021-12-18T01:45:34Z | value:https://api.github.com/repos/huggingface/datasets/issues/192/labels{/name} | value:192 | json:{"login": "mrm8488", "id": 3653789, "node_id": "MDQ6VXNlcjM2NTM3ODk=", "avatar_url": "https://avatars.githubusercontent.com/u/3653789?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mrm8488", "html_url": "https://github.com/mrm8488", "followers_url": "https://api.github.com/users/mrm8488/followers", ... | true | ||||||||
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Fixes #164 | value:https://api.github.com/repos/huggingface/datasets/issues/190/comments | value:MDExOlB1bGxSZXF1ZXN0NDIyNjA4NzAw | value:closed | value:5 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/190", "html_url": "https://github.com/huggingface/datasets/pull/190", "diff_url": "https://github.com/huggingface/datasets/pull/190.diff", "patch_url": "https://github.com/huggingface/datasets/pull/190.patch", "merged_at": "2020-05-25T16:28:45Z"} | value:2020-05-25T16:28:46Z | value:https://api.github.com/repos/huggingface/datasets/issues/190/labels{/name} | value:190 | json:{"login": "mariamabarham", "id": 38249783, "node_id": "MDQ6VXNlcjM4MjQ5Nzgz", "avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mariamabarham", "html_url": "https://github.com/mariamabarham", "followers_url": "https://api.github.com/users/... | value:False | true | |||||||||
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* `WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values wi... | value:https://api.github.com/repos/huggingface/datasets/issues/187/comments | value:MDU6SXNzdWU2MjM2Mjc4MDA= | value:closed | value:2 | value:2020-05-25T00:12:02Z | value:https://api.github.com/repos/huggingface/datasets/issues/187/labels{/name} | value:187 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | true | ||||||||
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```python
import nlp
dataset = nlp.load_dataset('boolq')
def func1(x):
return x
def func2(x):
return None
train_output = dataset["train"].map(func1)
valid_output = dataset["validation"].map(func1)
print()
print(len(train_output), len(valid_output))
# Output: 9427 9427
```... | value:https://api.github.com/repos/huggingface/datasets/issues/186/comments | value:MDU6SXNzdWU2MjM1OTUxODA= | value:closed | value:2 | value:2020-05-23T20:22:18Z | value:https://api.github.com/repos/huggingface/datasets/issues/186/labels{/name} | value:186 | json:{"login": "zphang", "id": 1668462, "node_id": "MDQ6VXNlcjE2Njg0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/1668462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/zphang", "html_url": "https://github.com/zphang", "followers_url": "https://api.github.com/users/zphang/followers", "fol... | true | ||||||||
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This PR adds a new command `python nlp-cli dummy_data <path_to_dataset_folder>` that gives in-detail instructions on how to add the dummy data files.
It would be great if you can try it out by moving the current dummy_data folder of any dataset in `./datasets` with `mv datasets/<dat... | value:https://api.github.com/repos/huggingface/datasets/issues/185/comments | value:MDExOlB1bGxSZXF1ZXN0NDIxODkxNjY2 | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/185", "html_url": "https://github.com/huggingface/datasets/pull/185", "diff_url": "https://github.com/huggingface/datasets/pull/185.diff", "patch_url": "https://github.com/huggingface/datasets/pull/185.patch", "merged_at": "2020-05-22T14:06:34Z"} | value:2020-05-22T14:06:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/185/labels{/name} | value:185 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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When I want to create a wrapper of arrow dataset to adapt to fastai,
I don't know how to initialize it, so I didn't use inheritance but use object composition.
I wrote sth like this.
```
clas HF_dataset():
def __init__(self, arrow_dataset):
self.dset = arrow... | value:https://api.github.com/repos/huggingface/datasets/issues/184/comments | value:MDExOlB1bGxSZXF1ZXN0NDIxODQ5MTQ3 | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/184", "html_url": "https://github.com/huggingface/datasets/pull/184", "diff_url": "https://github.com/huggingface/datasets/pull/184.diff", "patch_url": "https://github.com/huggingface/datasets/pull/184.patch", "merged_at": "2020-05-28T08:31:18Z"} | value:2020-05-28T08:31:18Z | value:https://api.github.com/repos/huggingface/datasets/issues/184/labels{/name} | value:184 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | value:False | true | |||||||||
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ax = nlp.load_dataset('glue', 'ax')
for i in range(30): print(ax['test'][i]['label'], end=', ')
```
```
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
``` | value:https://api.github.com/repos/huggingface/datasets/issues/183/comments | value:MDU6SXNzdWU2MjMwNTQyNzA= | value:closed | value:2 | value:2020-05-22T22:14:05Z | value:https://api.github.com/repos/huggingface/datasets/issues/183/labels{/name} | value:183 | json:{"login": "richarddwang", "id": 17963619, "node_id": "MDQ6VXNlcjE3OTYzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/richarddwang", "html_url": "https://github.com/richarddwang", "followers_url": "https://api.github.com/users/ric... | true | |||||||
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It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.... | value:https://api.github.com/repos/huggingface/datasets/issues/181/comments | value:MDU6SXNzdWU2MjI2MzQ0MjA= | value:closed | value:6 | value:2020-06-18T22:14:42Z | value:https://api.github.com/repos/huggingface/datasets/issues/181/labels{/name} | value:181 | json:{"login": "korakot", "id": 3155646, "node_id": "MDQ6VXNlcjMxNTU2NDY=", "avatar_url": "https://avatars.githubusercontent.com/u/3155646?v=4", "gravatar_id": "", "url": "https://api.github.com/users/korakot", "html_url": "https://github.com/korakot", "followers_url": "https://api.github.com/users/korakot/followers", ... | true | ||||||||
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This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would ... | value:https://api.github.com/repos/huggingface/datasets/issues/179/comments | value:MDU6SXNzdWU2MjI1MjU0MTA= | value:closed | value:2 | value:2020-05-22T13:31:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/179/labels{/name} | value:179 | json:{"login": "yjernite", "id": 10469459, "node_id": "MDQ6VXNlcjEwNDY5NDU5", "avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yjernite", "html_url": "https://github.com/yjernite", "followers_url": "https://api.github.com/users/yjernite/follow... | true | |||||||
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I guess the manual download instructions for `xsum` can also be improved. | value:https://api.github.com/repos/huggingface/datasets/issues/178/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwOTMyMDI5 | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/178", "html_url": "https://github.com/huggingface/datasets/pull/178", "diff_url": "https://github.com/huggingface/datasets/pull/178.diff", "patch_url": "https://github.com/huggingface/datasets/pull/178.patch", "merged_at": "2020-05-20T18:18:50Z"} | value:2020-05-20T18:18:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/178/labels{/name} | value:178 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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The print function was not of much help I think.
We should think about adding a command that creates the dummy folder structure for the user. | value:https://api.github.com/repos/huggingface/datasets/issues/176/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwODkzNDky | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/176", "html_url": "https://github.com/huggingface/datasets/pull/176", "diff_url": "https://github.com/huggingface/datasets/pull/176.diff", "patch_url": "https://github.com/huggingface/datasets/pull/176.patch", "merged_at": "2020-05-20T18:17:18Z"} | value:2020-05-20T18:17:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/176/labels{/name} | value:176 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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```python
import nlp
xsum = nlp.load_dataset('xsum')
```
Issue is `dl_manager.manual_dir`is `None`
```python
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-42-8... | value:https://api.github.com/repos/huggingface/datasets/issues/175/comments | value:MDU6SXNzdWU2MjE5Mjk0Mjg= | value:closed | value:0 | value:2020-05-20T18:18:50Z | value:https://api.github.com/repos/huggingface/datasets/issues/175/labels{/name} | value:175 | json:{"login": "sshleifer", "id": 6045025, "node_id": "MDQ6VXNlcjYwNDUwMjU=", "avatar_url": "https://avatars.githubusercontent.com/u/6045025?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sshleifer", "html_url": "https://github.com/sshleifer", "followers_url": "https://api.github.com/users/sshleifer/foll... | true | ||||||||
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Furthermore instead of extracting next to the dummy_data.zip file, we extract in the temp `cached_dir` used for tests, so that all the extracted directories... | value:https://api.github.com/repos/huggingface/datasets/issues/173/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwNzUyNzQy | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/173", "html_url": "https://github.com/huggingface/datasets/pull/173", "diff_url": "https://github.com/huggingface/datasets/pull/173.diff", "patch_url": "https://github.com/huggingface/datasets/pull/173.patch", "merged_at": "2020-05-22T16:34:35Z"} | value:2020-05-22T16:34:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/173/labels{/name} | value:173 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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Please consider changing the folder name ....
Reference to folder -
nlp/datasets/cnn_dailymail/dummy/3.0.0/3.0.0/dummy_data-zip-extracted/dummy_data/uc?export=download&id=0BwmD_VLjROrfM1BxdkxVaTY2bWs/daily... | value:https://api.github.com/repos/huggingface/datasets/issues/172/comments | value:MDU6SXNzdWU2MjEzNzczODY= | value:closed | value:2 | value:2020-05-23T12:49:13Z | value:https://api.github.com/repos/huggingface/datasets/issues/172/labels{/name} | value:172 | json:{"login": "codehunk628", "id": 51091425, "node_id": "MDQ6VXNlcjUxMDkxNDI1", "avatar_url": "https://avatars.githubusercontent.com/u/51091425?v=4", "gravatar_id": "", "url": "https://api.github.com/users/codehunk628", "html_url": "https://github.com/codehunk628", "followers_url": "https://api.github.com/users/codehu... | true | |||||||
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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'}
]
``` | value:https://api.github.com/repos/huggingface/datasets/issues/171/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwMjk0ODM0 | value:closed | value:5 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/171", "html_url": "https://github.com/huggingface/datasets/pull/171", "diff_url": "https://github.com/huggingface/datasets/pull/171.diff", "patch_url": "https://github.com/huggingface/datasets/pull/171.patch", "merged_at": "2020-05-22T13:36:48Z"} | value:2020-05-22T13:36:50Z | value:https://api.github.com/repos/huggingface/datasets/issues/171/labels{/name} | value:171 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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I renamed the current `anli` dataset by `art`... | value:https://api.github.com/repos/huggingface/datasets/issues/170/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwMjMwMDIx | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/170", "html_url": "https://github.com/huggingface/datasets/pull/170", "diff_url": "https://github.com/huggingface/datasets/pull/170.diff", "patch_url": "https://github.com/huggingface/datasets/pull/170.patch", "merged_at": "2020-05-20T12:23:07Z"} | value:2020-05-20T12:23:09Z | value:https://api.github.com/repos/huggingface/datasets/issues/170/labels{/name} | value:170 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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Thi... | value:https://api.github.com/repos/huggingface/datasets/issues/169/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwMjE1NDkw | value:closed | value:5 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/169", "html_url": "https://github.com/huggingface/datasets/pull/169", "diff_url": "https://github.com/huggingface/datasets/pull/169.diff", "patch_url": "https://github.com/huggingface/datasets/pull/169.patch", "merged_at": null} | value:2020-05-26T12:52:31Z | value:https://api.github.com/repos/huggingface/datasets/issues/169/labels{/name} | value:169 | json:{"login": "EntilZha", "id": 1382460, "node_id": "MDQ6VXNlcjEzODI0NjA=", "avatar_url": "https://avatars.githubusercontent.com/u/1382460?v=4", "gravatar_id": "", "url": "https://api.github.com/users/EntilZha", "html_url": "https://github.com/EntilZha", "followers_url": "https://api.github.com/users/EntilZha/follower... | value:False | true | ||||||||
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Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (mos... | value:https://api.github.com/repos/huggingface/datasets/issues/168/comments | value:MDU6SXNzdWU2MjA5NTk4MTk= | value:closed | value:6 | value:2020-05-26T21:46:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/168/labels{/name} | value:168 | json:{"login": "itay1itzhak", "id": 25987633, "node_id": "MDQ6VXNlcjI1OTg3NjMz", "avatar_url": "https://avatars.githubusercontent.com/u/25987633?v=4", "gravatar_id": "", "url": "https://api.github.com/users/itay1itzhak", "html_url": "https://github.com/itay1itzhak", "followers_url": "https://api.github.com/users/itay1i... | true | ||||||||
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```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
pyt... | value:https://api.github.com/repos/huggingface/datasets/issues/167/comments | value:MDExOlB1bGxSZXF1ZXN0NDIwMDY0NDMw | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/167", "html_url": "https://github.com/huggingface/datasets/pull/167", "diff_url": "https://github.com/huggingface/datasets/pull/167.diff", "patch_url": "https://github.com/huggingface/datasets/pull/167.patch", "merged_at": "2020-05-19T16:17:10Z"} | value:2020-05-19T16:17:12Z | value:https://api.github.com/repos/huggingface/datasets/issues/167/labels{/name} | value:167 | json:{"login": "patrickvonplaten", "id": 23423619, "node_id": "MDQ6VXNlcjIzNDIzNjE5", "avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patrickvonplaten", "html_url": "https://github.com/patrickvonplaten", "followers_url": "https://api.github.c... | value:False | true | |||||||||
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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... | value:https://api.github.com/repos/huggingface/datasets/issues/166/comments | value:MDU6SXNzdWU2MjA4NTAyMTg= | value:closed | value:4 | value:2020-06-23T15:07:33Z | value:https://api.github.com/repos/huggingface/datasets/issues/166/labels{/name} | value:166 | json:{"login": "thomwolf", "id": 7353373, "node_id": "MDQ6VXNlcjczNTMzNzM=", "avatar_url": "https://avatars.githubusercontent.com/u/7353373?v=4", "gravatar_id": "", "url": "https://api.github.com/users/thomwolf", "html_url": "https://github.com/thomwolf", "followers_url": "https://api.github.com/users/thomwolf/follower... | true | ||||||||
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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 "... | value:https://api.github.com/repos/huggingface/datasets/issues/165/comments | value:MDU6SXNzdWU2MjA3NTgyMjE= | value:closed | value:0 | value:2020-05-20T12:23:07Z | value:https://api.github.com/repos/huggingface/datasets/issues/165/labels{/name} | value:165 | json:{"login": "douwekiela", "id": 6024930, "node_id": "MDQ6VXNlcjYwMjQ5MzA=", "avatar_url": "https://avatars.githubusercontent.com/u/6024930?v=4", "gravatar_id": "", "url": "https://api.github.com/users/douwekiela", "html_url": "https://github.com/douwekiela", "followers_url": "https://api.github.com/users/douwekiela/... | true | ||||||||
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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. | value:https://api.github.com/repos/huggingface/datasets/issues/164/comments | value:MDU6SXNzdWU2MjA1NDAyNTA= | value:closed | value:2 | value:2020-05-25T16:28:45Z | value:https://api.github.com/repos/huggingface/datasets/issues/164/labels{/name} | value:164 | json:{"login": "mrm8488", "id": 3653789, "node_id": "MDQ6VXNlcjM2NTM3ODk=", "avatar_url": "https://avatars.githubusercontent.com/u/3653789?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mrm8488", "html_url": "https://github.com/mrm8488", "followers_url": "https://api.github.com/users/mrm8488/followers", ... | true | ||||||||
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This makes sure it takes the previous files when computing the hash. | value:https://api.github.com/repos/huggingface/datasets/issues/162/comments | value:MDExOlB1bGxSZXF1ZXN0NDE5NzQ4Mzky | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/162", "html_url": "https://github.com/huggingface/datasets/pull/162", "diff_url": "https://github.com/huggingface/datasets/pull/162.diff", "patch_url": "https://github.com/huggingface/datasets/pull/162.patch", "merged_at": "2020-05-18T21:36:20Z"} | value:2020-05-18T21:36:21Z | value:https://api.github.com/repos/huggingface/datasets/issues/162/labels{/name} | value:162 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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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(... | value:https://api.github.com/repos/huggingface/datasets/issues/160/comments | value:MDU6SXNzdWU2MjA0NDgyMzY= | value:closed | value:7 | value:2020-05-18T21:36:20Z | value:https://api.github.com/repos/huggingface/datasets/issues/160/labels{/name} | value:160 | json:{"login": "dpressel", "id": 247881, "node_id": "MDQ6VXNlcjI0Nzg4MQ==", "avatar_url": "https://avatars.githubusercontent.com/u/247881?v=4", "gravatar_id": "", "url": "https://api.github.com/users/dpressel", "html_url": "https://github.com/dpressel", "followers_url": "https://api.github.com/users/dpressel/followers"... | true | |||||||
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.
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 ) | value:https://api.github.com/repos/huggingface/datasets/issues/158/comments | value:MDExOlB1bGxSZXF1ZXN0NDE5NjUyNTQy | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/158", "html_url": "https://github.com/huggingface/datasets/pull/158", "diff_url": "https://github.com/huggingface/datasets/pull/158.diff", "patch_url": "https://github.com/huggingface/datasets/pull/158.patch", "merged_at": null} | value:2020-06-11T07:49:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/158/labels{/name} | value:158 | json:{"login": "mariamabarham", "id": 38249783, "node_id": "MDQ6VXNlcjM4MjQ5Nzgz", "avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mariamabarham", "html_url": "https://github.com/mariamabarham", "followers_url": "https://api.github.com/users/... | value:False | true |
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