url stringlengths 58 61 | repository_url stringclasses 1 value | labels_url stringlengths 72 75 | comments_url stringlengths 67 70 | events_url stringlengths 65 68 | html_url stringlengths 46 51 | id int64 599M 2.35B | node_id stringlengths 18 32 | number int64 1 6.97k | title stringlengths 1 290 | user dict | labels listlengths 0 4 | state stringclasses 2 values | locked bool 1 class | assignee dict | assignees listlengths 0 4 | milestone dict | comments int64 0 70 | created_at timestamp[us, tz=UTC] | updated_at timestamp[us, tz=UTC] | closed_at timestamp[us, tz=UTC] | author_association stringclasses 4 values | active_lock_reason float64 | draft float64 0 1 ⌀ | pull_request dict | body stringlengths 0 228k ⌀ | reactions dict | timeline_url stringlengths 67 70 | performed_via_github_app float64 | state_reason stringclasses 3 values | existe_pull_request bool 2 classes | comentarios listlengths 0 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/333/comments | https://api.github.com/repos/huggingface/datasets/issues/333/events | https://github.com/huggingface/datasets/pull/333 | 649,236,516 | MDExOlB1bGxSZXF1ZXN0NDQyOTE1NDQ0 | 333 | fix variable name typo | {
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"events_url": "https://api.github.com/users/stas00/events{/privacy}",
"followers_url": "https://api.github.com/users/stas00/followers",
"following_url": "https://api.github.com/users/stas00/following{/other_user}",
"gists_url": "https://api.github.com/users/stas00/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/stas00",
"id": 10676103,
"login": "stas00",
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"organizations_url": "https://api.github.com/users/stas00/orgs",
"received_events_url": "https://api.github.com/users/stas00/received_events",
"repos_url": "https://api.github.com/users/stas00/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/stas00/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/stas00/subscriptions",
"type": "User",
"url": "https://api.github.com/users/stas00"
} | [] | closed | false | null | [] | null | 2 | 2020-07-01T19:13:50Z | 2020-07-24T15:43:31Z | 2020-07-24T08:32:16Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/333.diff",
"html_url": "https://github.com/huggingface/datasets/pull/333",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/333.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/333"
} | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/333/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/333/timeline | null | null | true | [
"Good catch :)\r\nI think there is another occurence that needs to be fixed in the second gist (line 4924 of the notebook file):\r\n```python\r\nbleu = nlp.load_metric(...)\r\n```",
"Was fixed in e16f79b5f7fc12a6a30c777722be46897a272e6f\r\nClosing it."
] | |
https://api.github.com/repos/huggingface/datasets/issues/332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/332/comments | https://api.github.com/repos/huggingface/datasets/issues/332/events | https://github.com/huggingface/datasets/pull/332 | 649,140,135 | MDExOlB1bGxSZXF1ZXN0NDQyODMwMzMz | 332 | Add wiki_dpr | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 2 | 2020-07-01T17:12:00Z | 2020-07-06T12:21:17Z | 2020-07-06T12:21:16Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/332.diff",
"html_url": "https://github.com/huggingface/datasets/pull/332",
"merged_at": "2020-07-06T12:21:16Z",
"patch_url": "https://github.com/huggingface/datasets/pull/332.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/332"
} | Presented in the [Dense Passage Retrieval paper](https://arxiv.org/pdf/2004.04906.pdf), this dataset consists in 21M passages from the english wikipedia along with their 768-dim embeddings computed using DPR's context encoder.
Note on the implementation:
- There are two configs: with and without the embeddings (73GB vs 14GB)
- I used a non-fixed-size sequence of floats to describe the feature format of the embeddings. I wanted to use fixed-size sequences but I had issues with reading the arrow file afterwards (for example `dataset[0]` was crashing)
- I added the case for lists of urls as input of the download_manager | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/332/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/332/timeline | null | null | true | [
"The two configurations don't have the same sizes, I may change that so that they both have 21015300 examples for convenience, even though it's supposed to have 21015324 examples in total.\r\n\r\nOne configuration only has 21015300 examples because it seems that the embeddings of the last 24 examples are missing.",... |
https://api.github.com/repos/huggingface/datasets/issues/331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/331/comments | https://api.github.com/repos/huggingface/datasets/issues/331/events | https://github.com/huggingface/datasets/issues/331 | 648,533,199 | MDU6SXNzdWU2NDg1MzMxOTk= | 331 | Loading CNN/Daily Mail dataset produces `nlp.utils.info_utils.NonMatchingSplitsSizesError` | {
"avatar_url": "https://avatars.githubusercontent.com/u/13238952?v=4",
"events_url": "https://api.github.com/users/jxmorris12/events{/privacy}",
"followers_url": "https://api.github.com/users/jxmorris12/followers",
"following_url": "https://api.github.com/users/jxmorris12/following{/other_user}",
"gists_url": "https://api.github.com/users/jxmorris12/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jxmorris12",
"id": 13238952,
"login": "jxmorris12",
"node_id": "MDQ6VXNlcjEzMjM4OTUy",
"organizations_url": "https://api.github.com/users/jxmorris12/orgs",
"received_events_url": "https://api.github.com/users/jxmorris12/received_events",
"repos_url": "https://api.github.com/users/jxmorris12/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jxmorris12/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jxmorris12/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jxmorris12"
} | [
{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
}
] | closed | false | null | [] | null | 5 | 2020-06-30T22:21:33Z | 2020-07-09T13:03:40Z | 2020-07-09T13:03:40Z | CONTRIBUTOR | null | null | null | ```
>>> import nlp
>>> nlp.load_dataset('cnn_dailymail', '3.0.0')
Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.26 GiB, total: 1.81 GiB) to /u/jm8wx/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/p/qdata/jm8wx/datasets/nlp/src/nlp/load.py", line 520, in load_dataset
builder_instance.download_and_prepare(
File "/p/qdata/jm8wx/datasets/nlp/src/nlp/builder.py", line 431, in download_and_prepare
self._download_and_prepare(
File "/p/qdata/jm8wx/datasets/nlp/src/nlp/builder.py", line 488, in _download_and_prepare
verify_splits(self.info.splits, split_dict)
File "/p/qdata/jm8wx/datasets/nlp/src/nlp/utils/info_utils.py", line 70, in verify_splits
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='test', num_bytes=49424491, num_examples=11490, dataset_name='cnn_dailymail'), 'recorded': SplitInfo(name='test', num_bytes=48931393, num_examples=11379, dataset_name='cnn_dailymail')}, {'expected': SplitInfo(name='train', num_bytes=1249178681, num_examples=287113, dataset_name='cnn_dailymail'), 'recorded': SplitInfo(name='train', num_bytes=1240618482, num_examples=285161, dataset_name='cnn_dailymail')}, {'expected': SplitInfo(name='validation', num_bytes=57149241, num_examples=13368, dataset_name='cnn_dailymail'), 'recorded': SplitInfo(name='validation', num_bytes=56637485, num_examples=13255, dataset_name='cnn_dailymail')}]
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/331/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/331/timeline | null | completed | false | [
"I couldn't reproduce on my side.\r\nIt looks like you were not able to generate all the examples, and you have the problem for each split train-test-validation.\r\nCould you try to enable logging, try again and send the logs ?\r\n```python\r\nimport logging\r\nlogging.basicConfig(level=logging.INFO)\r\n```",
"he... |
https://api.github.com/repos/huggingface/datasets/issues/330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/330/comments | https://api.github.com/repos/huggingface/datasets/issues/330/events | https://github.com/huggingface/datasets/pull/330 | 648,525,720 | MDExOlB1bGxSZXF1ZXN0NDQyMzIxMjEw | 330 | Doc red | {
"avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4",
"events_url": "https://api.github.com/users/ghomasHudson/events{/privacy}",
"followers_url": "https://api.github.com/users/ghomasHudson/followers",
"following_url": "https://api.github.com/users/ghomasHudson/following{/other_user}",
"gists_url": "https://api.github.com/users/ghomasHudson/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghomasHudson",
"id": 13795113,
"login": "ghomasHudson",
"node_id": "MDQ6VXNlcjEzNzk1MTEz",
"organizations_url": "https://api.github.com/users/ghomasHudson/orgs",
"received_events_url": "https://api.github.com/users/ghomasHudson/received_events",
"repos_url": "https://api.github.com/users/ghomasHudson/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghomasHudson/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghomasHudson/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghomasHudson"
} | [] | closed | false | null | [] | null | 0 | 2020-06-30T22:05:31Z | 2020-07-06T12:10:39Z | 2020-07-05T12:27:29Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/330.diff",
"html_url": "https://github.com/huggingface/datasets/pull/330",
"merged_at": "2020-07-05T12:27:29Z",
"patch_url": "https://github.com/huggingface/datasets/pull/330.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/330"
} | Adding [DocRED](https://github.com/thunlp/DocRED) - a relation extraction dataset which tests document-level RE. A few implementation notes:
- There are 2 separate versions of the training set - *annotated* and *distant*. Instead of `nlp.Split.Train` I've used the splits `"train_annotated"` and `"train_distant"` to reflect this.
- As well as the relation id, the full relation name is mapped from `rel_info.json`
- I renamed the 'h', 'r', 't' keys to 'head', 'relation' and 'tail' to make them more readable.
- Used the fix from #319 to allow nested sequences of dicts. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/330/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/330/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/329/comments | https://api.github.com/repos/huggingface/datasets/issues/329/events | https://github.com/huggingface/datasets/issues/329 | 648,446,979 | MDU6SXNzdWU2NDg0NDY5Nzk= | 329 | [Bug] FileLock dependency incompatible with filesystem | {
"avatar_url": "https://avatars.githubusercontent.com/u/4564897?v=4",
"events_url": "https://api.github.com/users/jarednielsen/events{/privacy}",
"followers_url": "https://api.github.com/users/jarednielsen/followers",
"following_url": "https://api.github.com/users/jarednielsen/following{/other_user}",
"gists_url": "https://api.github.com/users/jarednielsen/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jarednielsen",
"id": 4564897,
"login": "jarednielsen",
"node_id": "MDQ6VXNlcjQ1NjQ4OTc=",
"organizations_url": "https://api.github.com/users/jarednielsen/orgs",
"received_events_url": "https://api.github.com/users/jarednielsen/received_events",
"repos_url": "https://api.github.com/users/jarednielsen/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jarednielsen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jarednielsen/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jarednielsen"
} | [] | closed | false | null | [] | null | 10 | 2020-06-30T19:45:31Z | 2024-03-14T21:51:00Z | 2020-06-30T21:33:06Z | CONTRIBUTOR | null | null | null | I'm downloading a dataset successfully with
`load_dataset("wikitext", "wikitext-2-raw-v1")`
But when I attempt to cache it on an external volume, it hangs indefinitely:
`load_dataset("wikitext", "wikitext-2-raw-v1", cache_dir="/fsx") # /fsx is an external volume mount`
The filesystem when hanging looks like this:
```bash
/fsx
----downloads
----94be...73.lock
----wikitext
----wikitext-2-raw
----wikitext-2-raw-1.0.0.incomplete
```
It appears that on this filesystem, the FileLock object is forever stuck in its "acquire" stage. I have verified that the issue lies specifically with the `filelock` dependency:
```python
open("/fsx/hello.txt").write("hello") # succeeds
from filelock import FileLock
with FileLock("/fsx/hello.lock"):
open("/fsx/hello.txt").write("hello") # hangs indefinitely
```
Has anyone else run into this issue? I'd raise it directly on the FileLock repo, but that project appears abandoned with the last update over a year ago. Or if there's a solution that would remove the FileLock dependency from the project, I would appreciate that. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/329/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/329/timeline | null | completed | false | [
"Hi, can you give details on your environment/os/packages versions/etc?",
"Environment is Ubuntu 18.04, Python 3.7.5, nlp==0.3.0, filelock=3.0.12.\r\n\r\nThe external volume is Amazon FSx for Lustre, and it by default creates files with limited permissions. My working theory is that FileLock creates a lockfile th... |
https://api.github.com/repos/huggingface/datasets/issues/328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/328/comments | https://api.github.com/repos/huggingface/datasets/issues/328/events | https://github.com/huggingface/datasets/issues/328 | 648,326,841 | MDU6SXNzdWU2NDgzMjY4NDE= | 328 | Fork dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/2000204?v=4",
"events_url": "https://api.github.com/users/timothyjlaurent/events{/privacy}",
"followers_url": "https://api.github.com/users/timothyjlaurent/followers",
"following_url": "https://api.github.com/users/timothyjlaurent/following{/other_user}",
"gists_url": "https://api.github.com/users/timothyjlaurent/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/timothyjlaurent",
"id": 2000204,
"login": "timothyjlaurent",
"node_id": "MDQ6VXNlcjIwMDAyMDQ=",
"organizations_url": "https://api.github.com/users/timothyjlaurent/orgs",
"received_events_url": "https://api.github.com/users/timothyjlaurent/received_events",
"repos_url": "https://api.github.com/users/timothyjlaurent/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/timothyjlaurent/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/timothyjlaurent/subscriptions",
"type": "User",
"url": "https://api.github.com/users/timothyjlaurent"
} | [] | closed | false | null | [] | null | 5 | 2020-06-30T16:42:53Z | 2020-07-06T21:43:59Z | 2020-07-06T21:43:59Z | NONE | null | null | null | We have a multi-task learning model training I'm trying to convert to using the Arrow-based nlp dataset.
We're currently training a custom TensorFlow model but the nlp paradigm should be a bridge for us to be able to use the wealth of pre-trained models in Transformers.
Our preprocessing flow parses raw text and json with Entity and Relations annotations and creates 2 datasets for training a NER and Relations prediction heads.
Is there some good way to "fork" dataset-
EG
1. text + json -> Dataset1
1. Dataset1 -> DatasetNER
1. Dataset1 -> DatasetREL
or
1. text + json -> Dataset1
1. Dataset1 -> DatasetNER
1. Dataset1 + DatasetNER -> DatasetREL
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/328/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/328/timeline | null | completed | false | [
"To be able to generate the Arrow dataset you need to either use our csv or json utilities `load_dataset(\"json\", data_files=my_json_files)` OR write your own custom dataset script (you can find some inspiration from the [squad](https://github.com/huggingface/nlp/blob/master/datasets/squad/squad.py) script for exa... |
https://api.github.com/repos/huggingface/datasets/issues/327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/327/comments | https://api.github.com/repos/huggingface/datasets/issues/327/events | https://github.com/huggingface/datasets/pull/327 | 648,312,858 | MDExOlB1bGxSZXF1ZXN0NDQyMTQyOTQw | 327 | set seed for suffling tests | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-30T16:21:34Z | 2020-07-02T08:34:05Z | 2020-07-02T08:34:04Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/327.diff",
"html_url": "https://github.com/huggingface/datasets/pull/327",
"merged_at": "2020-07-02T08:34:04Z",
"patch_url": "https://github.com/huggingface/datasets/pull/327.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/327"
} | Some tests were randomly failing because of a missing seed in a test for `train_test_split(shuffle=True)` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/327/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/327/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/326/comments | https://api.github.com/repos/huggingface/datasets/issues/326/events | https://github.com/huggingface/datasets/issues/326 | 648,126,103 | MDU6SXNzdWU2NDgxMjYxMDM= | 326 | Large dataset in Squad2-format | {
"avatar_url": "https://avatars.githubusercontent.com/u/47894090?v=4",
"events_url": "https://api.github.com/users/flozi00/events{/privacy}",
"followers_url": "https://api.github.com/users/flozi00/followers",
"following_url": "https://api.github.com/users/flozi00/following{/other_user}",
"gists_url": "https://api.github.com/users/flozi00/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/flozi00",
"id": 47894090,
"login": "flozi00",
"node_id": "MDQ6VXNlcjQ3ODk0MDkw",
"organizations_url": "https://api.github.com/users/flozi00/orgs",
"received_events_url": "https://api.github.com/users/flozi00/received_events",
"repos_url": "https://api.github.com/users/flozi00/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/flozi00/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/flozi00/subscriptions",
"type": "User",
"url": "https://api.github.com/users/flozi00"
} | [] | closed | false | null | [] | null | 8 | 2020-06-30T12:18:59Z | 2020-07-09T09:01:50Z | 2020-07-09T09:01:50Z | CONTRIBUTOR | null | null | null | At the moment we are building an large question answering dataset and think about sharing it with the huggingface community.
Caused the computing power we splitted it into multiple tiles, but they are all in the same format.
Right now the most important facts about are this:
- Contexts: 1.047.671
- questions: 1.677.732
- Answers: 6.742.406
- unanswerable: 377.398
It is already cleaned
<pre><code>
train_data = [
{
'context': "this is the context",
'qas': [
{
'id': "00002",
'is_impossible': False,
'question': "whats is this",
'answers': [
{
'text': "answer",
'answer_start': 0
}
]
},
{
'id': "00003",
'is_impossible': False,
'question': "question2",
'answers': [
{
'text': "answer2",
'answer_start': 1
}
]
}
]
}
]
</code></pre>
Cause it is growing every day we are thinking about an structure like this:
We host an Json file, containing all the download links and the script can load it dynamically.
At the moment it is around ~20GB
Any advice how to handle this, or an ready to use template ? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/326/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/326/timeline | null | completed | false | [
"I'm pretty sure you can get some inspiration from the squad_v2 script. It looks like the dataset is quite big so it will take some time for the users to generate it, but it should be reasonable.\r\n\r\nAlso you are saying that you are still making the dataset grow in size right ?\r\nIt's probably good practice to ... |
https://api.github.com/repos/huggingface/datasets/issues/325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/325/comments | https://api.github.com/repos/huggingface/datasets/issues/325/events | https://github.com/huggingface/datasets/pull/325 | 647,601,592 | MDExOlB1bGxSZXF1ZXN0NDQxNTk3NTgw | 325 | Add SQuADShifts dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/8953195?v=4",
"events_url": "https://api.github.com/users/millerjohnp/events{/privacy}",
"followers_url": "https://api.github.com/users/millerjohnp/followers",
"following_url": "https://api.github.com/users/millerjohnp/following{/other_user}",
"gists_url": "https://api.github.com/users/millerjohnp/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/millerjohnp",
"id": 8953195,
"login": "millerjohnp",
"node_id": "MDQ6VXNlcjg5NTMxOTU=",
"organizations_url": "https://api.github.com/users/millerjohnp/orgs",
"received_events_url": "https://api.github.com/users/millerjohnp/received_events",
"repos_url": "https://api.github.com/users/millerjohnp/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/millerjohnp/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/millerjohnp/subscriptions",
"type": "User",
"url": "https://api.github.com/users/millerjohnp"
} | [] | closed | false | null | [] | null | 1 | 2020-06-29T19:11:16Z | 2020-06-30T17:07:31Z | 2020-06-30T17:07:31Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/325.diff",
"html_url": "https://github.com/huggingface/datasets/pull/325",
"merged_at": "2020-06-30T17:07:31Z",
"patch_url": "https://github.com/huggingface/datasets/pull/325.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/325"
} | This PR adds the four new variants of the SQuAD dataset used in [The Effect of Natural Distribution Shift on Question Answering Models](https://arxiv.org/abs/2004.14444) to facilitate evaluating model robustness to distribution shift. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/325/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/325/timeline | null | null | true | [
"Very cool to have this dataset, thank you for adding it :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/324/comments | https://api.github.com/repos/huggingface/datasets/issues/324/events | https://github.com/huggingface/datasets/issues/324 | 647,525,725 | MDU6SXNzdWU2NDc1MjU3MjU= | 324 | Error when calculating glue score | {
"avatar_url": "https://avatars.githubusercontent.com/u/47185867?v=4",
"events_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/events{/privacy}",
"followers_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/followers",
"following_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/following{/other_user}",
"gists_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/D-i-l-r-u-k-s-h-i",
"id": 47185867,
"login": "D-i-l-r-u-k-s-h-i",
"node_id": "MDQ6VXNlcjQ3MTg1ODY3",
"organizations_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/orgs",
"received_events_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/received_events",
"repos_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i/subscriptions",
"type": "User",
"url": "https://api.github.com/users/D-i-l-r-u-k-s-h-i"
} | [] | closed | false | null | [] | null | 4 | 2020-06-29T16:53:48Z | 2020-07-09T09:13:34Z | 2020-07-09T09:13:34Z | NONE | null | null | null | I was trying glue score along with other metrics here. But glue gives me this error;
```
import nlp
glue_metric = nlp.load_metric('glue',name="cola")
glue_score = glue_metric.compute(predictions, references)
```
```
---------------------------------------------------------------------------
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-8-b9210a524504> in <module>()
----> 1 glue_score = glue_metric.compute(predictions, references)
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/metric.py in compute(self, predictions, references, timeout, **metrics_kwargs)
191 """
192 if predictions is not None:
--> 193 self.add_batch(predictions=predictions, references=references)
194 self.finalize(timeout=timeout)
195
/usr/local/lib/python3.6/dist-packages/nlp/metric.py in add_batch(self, predictions, references, **kwargs)
207 if self.writer is None:
208 self._init_writer()
--> 209 self.writer.write_batch(batch)
210
211 def add(self, prediction=None, reference=None, **kwargs):
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_batch(self, batch_examples, writer_batch_size)
155 if self.pa_writer is None:
156 self._build_writer(pa_table=pa.Table.from_pydict(batch_examples))
--> 157 pa_table: pa.Table = pa.Table.from_pydict(batch_examples, schema=self._schema)
158 if writer_batch_size is None:
159 writer_batch_size = self.writer_batch_size
/usr/local/lib/python3.6/dist-packages/pyarrow/types.pxi in __iter__()
/usr/local/lib/python3.6/dist-packages/pyarrow/array.pxi in pyarrow.lib.asarray()
/usr/local/lib/python3.6/dist-packages/pyarrow/array.pxi in pyarrow.lib.array()
/usr/local/lib/python3.6/dist-packages/pyarrow/array.pxi in pyarrow.lib._sequence_to_array()
TypeError: an integer is required (got type str)
```
I'm not sure whether I'm doing this wrong or whether it's an issue. I would like to know a workaround. Thank you. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/324/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/324/timeline | null | completed | false | [
"The glue metric for cola is a metric for classification. It expects label ids as integers as inputs.",
"I want to evaluate a sentence pair whether they are semantically equivalent, so I used MRPC and it gives the same error, does that mean we have to encode the sentences and parse as input?\r\n\r\nusing BertToke... |
https://api.github.com/repos/huggingface/datasets/issues/323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/323/comments | https://api.github.com/repos/huggingface/datasets/issues/323/events | https://github.com/huggingface/datasets/pull/323 | 647,521,308 | MDExOlB1bGxSZXF1ZXN0NDQxNTMxOTY3 | 323 | Add package path to sys when downloading package as github archive | {
"avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4",
"events_url": "https://api.github.com/users/yjernite/events{/privacy}",
"followers_url": "https://api.github.com/users/yjernite/followers",
"following_url": "https://api.github.com/users/yjernite/following{/other_user}",
"gists_url": "https://api.github.com/users/yjernite/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/yjernite",
"id": 10469459,
"login": "yjernite",
"node_id": "MDQ6VXNlcjEwNDY5NDU5",
"organizations_url": "https://api.github.com/users/yjernite/orgs",
"received_events_url": "https://api.github.com/users/yjernite/received_events",
"repos_url": "https://api.github.com/users/yjernite/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/yjernite/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yjernite/subscriptions",
"type": "User",
"url": "https://api.github.com/users/yjernite"
} | [] | closed | false | null | [] | null | 2 | 2020-06-29T16:46:01Z | 2020-07-30T14:00:23Z | 2020-07-30T14:00:23Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/323.diff",
"html_url": "https://github.com/huggingface/datasets/pull/323",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/323.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/323"
} | This fixes the `coval.py` metric so that imports within the downloaded module work correctly. We can use a similar trick to add the BLEURT metric (@ankparikh)
@thomwolf not sure how you feel about adding to the `PYTHONPATH` from the script. This is the only way I could make it work with my understanding of `importlib` but there might be a more elegant method.
This PR fixes https://github.com/huggingface/nlp/issues/305 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/323/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/323/timeline | null | null | true | [
"Sorry for the long diff, everything after the imports comes from `black` for code quality :/ ",
" I think it's fine and I can't think of another way to make the import work anyways.\r\n\r\nMaybe we can have the `sys.path` behavior inside `prepare_module` instead ? Currently it seems to come out of nowhere in the... |
https://api.github.com/repos/huggingface/datasets/issues/322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/322/comments | https://api.github.com/repos/huggingface/datasets/issues/322/events | https://github.com/huggingface/datasets/pull/322 | 647,483,850 | MDExOlB1bGxSZXF1ZXN0NDQxNTAyMjc2 | 322 | output nested dict in get_nearest_examples | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-29T15:47:47Z | 2020-07-02T08:33:33Z | 2020-07-02T08:33:32Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/322.diff",
"html_url": "https://github.com/huggingface/datasets/pull/322",
"merged_at": "2020-07-02T08:33:32Z",
"patch_url": "https://github.com/huggingface/datasets/pull/322.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/322"
} | As we are using a columnar format like arrow as the backend for datasets, we expect to have a dictionary of columns when we slice a dataset like in this example:
```python
my_examples = dataset[0:10]
print(type(my_examples))
# >>> dict
print(my_examples["my_column"][0]
# >>> this is the first element of the column 'my_column'
```
Therefore I wanted to keep this logic when calling `get_nearest_examples` that returns the top 10 nearest examples:
```python
dataset.add_faiss_index(column="embeddings")
scores, examples = dataset.get_nearest_examples("embeddings", query=my_numpy_embedding)
print(type(examples))
# >>> dict
```
Previously it was returning a list[dict]. It was the only place that was using this output format.
To make it work I had to implement `__getitem__(key)` where `key` is a list.
This is different from `.select` because `.select` is a dataset transform (it returns a new dataset object) while `__getitem__` is an extraction method (it returns python dictionaries). | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/322/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/322/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/321/comments | https://api.github.com/repos/huggingface/datasets/issues/321/events | https://github.com/huggingface/datasets/issues/321 | 647,271,526 | MDU6SXNzdWU2NDcyNzE1MjY= | 321 | ERROR:root:mwparserfromhell | {
"avatar_url": "https://avatars.githubusercontent.com/u/26505641?v=4",
"events_url": "https://api.github.com/users/Shiro-LK/events{/privacy}",
"followers_url": "https://api.github.com/users/Shiro-LK/followers",
"following_url": "https://api.github.com/users/Shiro-LK/following{/other_user}",
"gists_url": "https://api.github.com/users/Shiro-LK/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Shiro-LK",
"id": 26505641,
"login": "Shiro-LK",
"node_id": "MDQ6VXNlcjI2NTA1NjQx",
"organizations_url": "https://api.github.com/users/Shiro-LK/orgs",
"received_events_url": "https://api.github.com/users/Shiro-LK/received_events",
"repos_url": "https://api.github.com/users/Shiro-LK/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Shiro-LK/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Shiro-LK/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Shiro-LK"
} | [
{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
}
] | closed | false | null | [] | null | 10 | 2020-06-29T11:10:43Z | 2022-02-14T15:21:46Z | 2022-02-14T15:21:46Z | NONE | null | null | null | Hi,
I am trying to download some wikipedia data but I got this error for spanish "es" (but there are maybe some others languages which have the same error I haven't tried all of them ).
`ERROR:root:mwparserfromhell ParseError: This is a bug and should be reported. Info: C tokenizer exited with non-empty token stack.`
The code I have use was :
`dataset = load_dataset('wikipedia', '20200501.es', beam_runner='DirectRunner')`
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/321/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/321/timeline | null | completed | false | [
"It looks like it comes from `mwparserfromhell`.\r\n\r\nWould it be possible to get the bad `section` that causes this issue ? The `section` string is from `datasets/wikipedia.py:L548` ? You could just add a `try` statement and print the section if the line `section_text.append(section.strip_code().strip())` crashe... |
https://api.github.com/repos/huggingface/datasets/issues/320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/320/comments | https://api.github.com/repos/huggingface/datasets/issues/320/events | https://github.com/huggingface/datasets/issues/320 | 647,188,167 | MDU6SXNzdWU2NDcxODgxNjc= | 320 | Blog Authorship Corpus, Non Matching Splits Sizes Error, nlp viewer | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [
{
"color": "94203D",
"default": false,
"description": "",
"id": 2107841032,
"name": "nlp-viewer",
"node_id": "MDU6TGFiZWwyMTA3ODQxMDMy",
"url": "https://api.github.com/repos/huggingface/datasets/labels/nlp-viewer"
}
] | closed | false | null | [] | null | 2 | 2020-06-29T07:36:35Z | 2020-06-29T14:44:42Z | 2020-06-29T14:44:42Z | CONTRIBUTOR | null | null | null | Selecting `blog_authorship_corpus` in the nlp viewer throws the following error:
```
NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train', num_bytes=614706451, num_examples=535568, dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation', num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='validation', num_bytes=32553710, num_examples=28521, dataset_name='blog_authorship_corpus')}]
Traceback:
File "/home/sasha/streamlit/lib/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__dict__)
File "/home/sasha/nlp-viewer/run.py", line 172, in <module>
dts, fail = get(str(option.id), str(conf_option.name) if conf_option else None)
File "/home/sasha/streamlit/lib/streamlit/caching.py", line 591, in wrapped_func
return get_or_create_cached_value()
File "/home/sasha/streamlit/lib/streamlit/caching.py", line 575, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/home/sasha/nlp-viewer/run.py", line 132, in get
builder_instance.download_and_prepare()
File "/home/sasha/.local/share/virtualenvs/lib-ogGKnCK_/lib/python3.7/site-packages/nlp/builder.py", line 432, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/home/sasha/.local/share/virtualenvs/lib-ogGKnCK_/lib/python3.7/site-packages/nlp/builder.py", line 488, in _download_and_prepare
verify_splits(self.info.splits, split_dict)
File "/home/sasha/.local/share/virtualenvs/lib-ogGKnCK_/lib/python3.7/site-packages/nlp/utils/info_utils.py", line 70, in verify_splits
raise NonMatchingSplitsSizesError(str(bad_splits))
```
@srush @lhoestq | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/320/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/320/timeline | null | completed | false | [
"I wonder if this means downloading failed? That corpus has a really slow server.",
"This dataset seems to have a decoding problem that results in inconsistencies in the number of generated examples.\r\nSee #215.\r\nThat's why we end up with a `NonMatchingSplitsSizesError `."
] |
https://api.github.com/repos/huggingface/datasets/issues/319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/319/comments | https://api.github.com/repos/huggingface/datasets/issues/319/events | https://github.com/huggingface/datasets/issues/319 | 646,792,487 | MDU6SXNzdWU2NDY3OTI0ODc= | 319 | Nested sequences with dicts | {
"avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4",
"events_url": "https://api.github.com/users/ghomasHudson/events{/privacy}",
"followers_url": "https://api.github.com/users/ghomasHudson/followers",
"following_url": "https://api.github.com/users/ghomasHudson/following{/other_user}",
"gists_url": "https://api.github.com/users/ghomasHudson/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghomasHudson",
"id": 13795113,
"login": "ghomasHudson",
"node_id": "MDQ6VXNlcjEzNzk1MTEz",
"organizations_url": "https://api.github.com/users/ghomasHudson/orgs",
"received_events_url": "https://api.github.com/users/ghomasHudson/received_events",
"repos_url": "https://api.github.com/users/ghomasHudson/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghomasHudson/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghomasHudson/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghomasHudson"
} | [] | closed | false | null | [] | null | 1 | 2020-06-27T23:45:17Z | 2020-07-03T10:22:00Z | 2020-07-03T10:22:00Z | CONTRIBUTOR | null | null | null | Am pretty much finished [adding a dataset](https://github.com/ghomasHudson/nlp/blob/DocRED/datasets/docred/docred.py) for [DocRED](https://github.com/thunlp/DocRED), but am getting an error when trying to add a nested `nlp.features.sequence(nlp.features.sequence({key:value,...}))`.
The original data is in this format:
```python
{
'title': "Title of wiki page",
'vertexSet': [
[
{ 'name': "mention_name",
'sent_id': "mention in which sentence",
'pos': ["postion of mention in a sentence"],
'type': "NER_type"},
{another mention}
],
[another entity]
]
...
}
```
So to represent this I've attempted to write:
```
...
features=nlp.Features({
"title": nlp.Value("string"),
"vertexSet": nlp.features.Sequence(nlp.features.Sequence({
"name": nlp.Value("string"),
"sent_id": nlp.Value("int32"),
"pos": nlp.features.Sequence(nlp.Value("int32")),
"type": nlp.Value("string"),
})),
...
}),
...
```
This is giving me the error:
```
pyarrow.lib.ArrowTypeError: Could not convert [{'pos': [[0,2], [2,4], [3,5]], "type": ["ORG", "ORG", "ORG"], "name": ["Lark Force", "Lark Force", "Lark Force", "sent_id": [0, 3, 4]}..... with type list: was not a dict, tuple, or recognized null value for conversion to struct type
```
Do we expect the pyarrow stuff to break when doing this deeper nesting? I've checked that it still works when you do `nlp.features.Sequence(nlp.features.Sequence(nlp.Value("string"))` or `nlp.features.Sequence({key:value,...})` just not nested sequences with a dict.
If it's not possible, I can always convert it to a shallower structure. I'd rather not change the DocRED authors' structure if I don't have to though. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/319/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/319/timeline | null | completed | false | [
"Oh yes, this is a backward compatibility feature with tensorflow_dataset in which a `Sequence` or `dict` is converted in a `dict` of `lists`, unfortunately it is not very intuitive, see here: https://github.com/huggingface/nlp/blob/master/src/nlp/features.py#L409\r\n\r\nTo avoid this behavior, you can just define ... |
https://api.github.com/repos/huggingface/datasets/issues/318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/318/comments | https://api.github.com/repos/huggingface/datasets/issues/318/events | https://github.com/huggingface/datasets/pull/318 | 646,682,840 | MDExOlB1bGxSZXF1ZXN0NDQwOTExOTYy | 318 | Multitask | {
"avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4",
"events_url": "https://api.github.com/users/ghomasHudson/events{/privacy}",
"followers_url": "https://api.github.com/users/ghomasHudson/followers",
"following_url": "https://api.github.com/users/ghomasHudson/following{/other_user}",
"gists_url": "https://api.github.com/users/ghomasHudson/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghomasHudson",
"id": 13795113,
"login": "ghomasHudson",
"node_id": "MDQ6VXNlcjEzNzk1MTEz",
"organizations_url": "https://api.github.com/users/ghomasHudson/orgs",
"received_events_url": "https://api.github.com/users/ghomasHudson/received_events",
"repos_url": "https://api.github.com/users/ghomasHudson/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghomasHudson/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghomasHudson/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghomasHudson"
} | [] | closed | false | null | [] | null | 18 | 2020-06-27T13:27:29Z | 2022-07-06T15:19:57Z | 2022-07-06T15:19:57Z | CONTRIBUTOR | null | 1 | {
"diff_url": "https://github.com/huggingface/datasets/pull/318.diff",
"html_url": "https://github.com/huggingface/datasets/pull/318",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/318.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/318"
} | Following our discussion in #217, I've implemented a first working version of `MultiDataset`.
There's a function `build_multitask()` which takes either individual `nlp.Dataset`s or `dicts` of splits and constructs `MultiDataset`(s). I've added a notebook with example usage.
I've implemented many of the `nlp.Dataset` methods (cache_files, columns, nbytes, num_columns, num_rows, column_names, schema, shape). Some of the other methods are complicated as they change the number of examples. These raise `NotImplementedError`s at the moment.
This will need some tests which I haven't written yet.
There's definitely room for improvements but I think the general approach is sound. | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/318/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/318/timeline | null | null | true | [
"It's definitely going in the right direction ! Thanks for giving it a try\r\n\r\nI really like the API.\r\nIMO it's fine right now if we don't have all the dataset transforms (map, filter, etc.) as it can be done before building the multitask dataset, but it will be important to have them in the end.\r\nAll the fo... |
https://api.github.com/repos/huggingface/datasets/issues/317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/317/comments | https://api.github.com/repos/huggingface/datasets/issues/317/events | https://github.com/huggingface/datasets/issues/317 | 646,555,384 | MDU6SXNzdWU2NDY1NTUzODQ= | 317 | Adding a dataset with multiple subtasks | {
"avatar_url": "https://avatars.githubusercontent.com/u/294483?v=4",
"events_url": "https://api.github.com/users/erickrf/events{/privacy}",
"followers_url": "https://api.github.com/users/erickrf/followers",
"following_url": "https://api.github.com/users/erickrf/following{/other_user}",
"gists_url": "https://api.github.com/users/erickrf/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/erickrf",
"id": 294483,
"login": "erickrf",
"node_id": "MDQ6VXNlcjI5NDQ4Mw==",
"organizations_url": "https://api.github.com/users/erickrf/orgs",
"received_events_url": "https://api.github.com/users/erickrf/received_events",
"repos_url": "https://api.github.com/users/erickrf/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/erickrf/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/erickrf/subscriptions",
"type": "User",
"url": "https://api.github.com/users/erickrf"
} | [] | closed | false | null | [] | null | 1 | 2020-06-26T23:14:19Z | 2020-10-27T15:36:52Z | 2020-10-27T15:36:52Z | NONE | null | null | null | I intent to add the datasets of the MT Quality Estimation shared tasks to `nlp`. However, they have different subtasks -- such as word-level, sentence-level and document-level quality estimation, each of which having different language pairs, and some of the data reused in different subtasks.
For example, in [QE 2019,](http://www.statmt.org/wmt19/qe-task.html) we had the same English-Russian and English-German data for word-level and sentence-level QE.
I suppose these datasets could have both their word and sentence-level labels inside `nlp.Features`; but what about other subtasks? Should they be considered a different dataset altogether?
I read the discussion on #217 but the case of QE seems a lot simpler. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/317/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/317/timeline | null | completed | false | [
"For one dataset you can have different configurations that each have their own `nlp.Features`.\r\nWe imagine having one configuration per subtask for example.\r\nThey are loaded with `nlp.load_dataset(\"my_dataset\", \"my_config\")`.\r\n\r\nFor example the `glue` dataset has many configurations. It is a bit differ... |
https://api.github.com/repos/huggingface/datasets/issues/316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/316/comments | https://api.github.com/repos/huggingface/datasets/issues/316/events | https://github.com/huggingface/datasets/pull/316 | 646,366,450 | MDExOlB1bGxSZXF1ZXN0NDQwNjY5NzY5 | 316 | add AG News dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/13238952?v=4",
"events_url": "https://api.github.com/users/jxmorris12/events{/privacy}",
"followers_url": "https://api.github.com/users/jxmorris12/followers",
"following_url": "https://api.github.com/users/jxmorris12/following{/other_user}",
"gists_url": "https://api.github.com/users/jxmorris12/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jxmorris12",
"id": 13238952,
"login": "jxmorris12",
"node_id": "MDQ6VXNlcjEzMjM4OTUy",
"organizations_url": "https://api.github.com/users/jxmorris12/orgs",
"received_events_url": "https://api.github.com/users/jxmorris12/received_events",
"repos_url": "https://api.github.com/users/jxmorris12/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jxmorris12/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jxmorris12/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jxmorris12"
} | [] | closed | false | null | [] | null | 1 | 2020-06-26T16:11:58Z | 2020-06-30T09:58:08Z | 2020-06-30T08:31:55Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/316.diff",
"html_url": "https://github.com/huggingface/datasets/pull/316",
"merged_at": "2020-06-30T08:31:55Z",
"patch_url": "https://github.com/huggingface/datasets/pull/316.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/316"
} | adds support for the AG-News topic classification dataset | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/316/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/316/timeline | null | null | true | [
"Thanks @jxmorris12 for adding this adding. \r\nCan you please add a small description of the PR?"
] |
https://api.github.com/repos/huggingface/datasets/issues/315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/315/comments | https://api.github.com/repos/huggingface/datasets/issues/315/events | https://github.com/huggingface/datasets/issues/315 | 645,888,943 | MDU6SXNzdWU2NDU4ODg5NDM= | 315 | [Question] Best way to batch a large dataset? | {
"avatar_url": "https://avatars.githubusercontent.com/u/4564897?v=4",
"events_url": "https://api.github.com/users/jarednielsen/events{/privacy}",
"followers_url": "https://api.github.com/users/jarednielsen/followers",
"following_url": "https://api.github.com/users/jarednielsen/following{/other_user}",
"gists_url": "https://api.github.com/users/jarednielsen/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jarednielsen",
"id": 4564897,
"login": "jarednielsen",
"node_id": "MDQ6VXNlcjQ1NjQ4OTc=",
"organizations_url": "https://api.github.com/users/jarednielsen/orgs",
"received_events_url": "https://api.github.com/users/jarednielsen/received_events",
"repos_url": "https://api.github.com/users/jarednielsen/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jarednielsen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jarednielsen/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jarednielsen"
} | [
{
"color": "c5def5",
"default": false,
"description": "Generic discussion on the library",
"id": 2067400324,
"name": "generic discussion",
"node_id": "MDU6TGFiZWwyMDY3NDAwMzI0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/generic%20discussion"
}
] | open | false | null | [] | null | 11 | 2020-06-25T22:30:20Z | 2020-10-27T15:38:17Z | null | CONTRIBUTOR | null | null | null | I'm training on large datasets such as Wikipedia and BookCorpus. Following the instructions in [the tutorial notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb), I see the following recommended for TensorFlow:
```python
train_tf_dataset = train_tf_dataset.filter(remove_none_values, load_from_cache_file=False)
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].to_tensor(default_value=0, shape=[None, tokenizer.max_len]) for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"].to_tensor(default_value=0, shape=[None, 1])}
labels["output_2"] = train_tf_dataset["end_positions"].to_tensor(default_value=0, shape=[None, 1])
### Question about this last line ###
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
This code works for something like WikiText-2. However, scaling up to WikiText-103, the last line takes 5-10 minutes to run. I assume it is because tf.data.Dataset.from_tensor_slices() is pulling everything into memory, not lazily loading. This approach won't scale up to datasets 25x larger such as Wikipedia.
So I tried manual batching using `dataset.select()`:
```python
idxs = np.random.randint(len(dataset), size=bsz)
batch = dataset.select(idxs).map(lambda example: {"input_ids": tokenizer(example["text"])})
tf_batch = tf.constant(batch["ids"], dtype=tf.int64)
```
This appears to create a new Apache Arrow dataset with every batch I grab, and then tries to cache it. The runtime of `dataset.select([0, 1])` appears to be much worse than `dataset[:2]`. So using `select()` doesn't seem to be performant enough for a training loop.
Is there a performant scalable way to lazily load batches of nlp Datasets? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 1,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/315/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/315/timeline | null | null | false | [
"Update: I think I've found a solution.\r\n\r\n```python\r\noutput_types = {\"input_ids\": tf.int64, \"token_type_ids\": tf.int64, \"attention_mask\": tf.int64}\r\ndef train_dataset_gen():\r\n for i in range(len(train_dataset)):\r\n yield train_dataset[i]\r\ntf_dataset = tf.data.Dataset.from_generator(tra... |
https://api.github.com/repos/huggingface/datasets/issues/314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/314/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/314/comments | https://api.github.com/repos/huggingface/datasets/issues/314/events | https://github.com/huggingface/datasets/pull/314 | 645,461,174 | MDExOlB1bGxSZXF1ZXN0NDM5OTM4MTMw | 314 | Fixed singlular very minor spelling error | {
"avatar_url": "https://avatars.githubusercontent.com/u/40696362?v=4",
"events_url": "https://api.github.com/users/SchizoidBat/events{/privacy}",
"followers_url": "https://api.github.com/users/SchizoidBat/followers",
"following_url": "https://api.github.com/users/SchizoidBat/following{/other_user}",
"gists_url": "https://api.github.com/users/SchizoidBat/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/SchizoidBat",
"id": 40696362,
"login": "SchizoidBat",
"node_id": "MDQ6VXNlcjQwNjk2MzYy",
"organizations_url": "https://api.github.com/users/SchizoidBat/orgs",
"received_events_url": "https://api.github.com/users/SchizoidBat/received_events",
"repos_url": "https://api.github.com/users/SchizoidBat/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/SchizoidBat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/SchizoidBat/subscriptions",
"type": "User",
"url": "https://api.github.com/users/SchizoidBat"
} | [] | closed | false | null | [] | null | 1 | 2020-06-25T10:45:59Z | 2020-06-26T08:46:41Z | 2020-06-25T12:43:59Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/314.diff",
"html_url": "https://github.com/huggingface/datasets/pull/314",
"merged_at": "2020-06-25T12:43:59Z",
"patch_url": "https://github.com/huggingface/datasets/pull/314.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/314"
} | An instance of "independantly" was changed to "independently". That's all. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/314/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/314/timeline | null | null | true | [
"Thank you BatJeti! The storm-joker, aka the typo, finally got caught!"
] |
https://api.github.com/repos/huggingface/datasets/issues/313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/313/comments | https://api.github.com/repos/huggingface/datasets/issues/313/events | https://github.com/huggingface/datasets/pull/313 | 645,390,088 | MDExOlB1bGxSZXF1ZXN0NDM5ODc4MDg5 | 313 | Add MWSC | {
"avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4",
"events_url": "https://api.github.com/users/ghomasHudson/events{/privacy}",
"followers_url": "https://api.github.com/users/ghomasHudson/followers",
"following_url": "https://api.github.com/users/ghomasHudson/following{/other_user}",
"gists_url": "https://api.github.com/users/ghomasHudson/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghomasHudson",
"id": 13795113,
"login": "ghomasHudson",
"node_id": "MDQ6VXNlcjEzNzk1MTEz",
"organizations_url": "https://api.github.com/users/ghomasHudson/orgs",
"received_events_url": "https://api.github.com/users/ghomasHudson/received_events",
"repos_url": "https://api.github.com/users/ghomasHudson/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghomasHudson/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghomasHudson/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghomasHudson"
} | [] | closed | false | {
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patrickvonplaten",
"id": 23423619,
"login": "patrickvonplaten",
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patrickvonplaten"
} | [
{
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/followin... | null | 1 | 2020-06-25T09:22:02Z | 2020-06-30T08:28:11Z | 2020-06-30T08:28:11Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/313.diff",
"html_url": "https://github.com/huggingface/datasets/pull/313",
"merged_at": "2020-06-30T08:28:10Z",
"patch_url": "https://github.com/huggingface/datasets/pull/313.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/313"
} | Adding the [Modified Winograd Schema Challenge](https://github.com/salesforce/decaNLP/blob/master/local_data/schema.txt) dataset which formed part of the [decaNLP](http://decanlp.com/) benchmark. Not sure how much use people would find for it it outside of the benchmark, but it is general purpose.
Code is heavily borrowed from the [decaNLP repo](https://github.com/salesforce/decaNLP/blob/1e9605f246b9e05199b28bde2a2093bc49feeeaa/text/torchtext/datasets/generic.py#L773-L877).
There's a few (possibly overly opinionated) design choices I made:
- I used the train/test/dev split [buried in the decaNLP code](https://github.com/salesforce/decaNLP/blob/1e9605f246b9e05199b28bde2a2093bc49feeeaa/text/torchtext/datasets/generic.py#L852-L855)
- I split out each example into the 2 alternatives. Originally the data uses the format:
```
The city councilmen refused the demonstrators a permit because they [feared/advocated] violence.
Who [feared/advocated] violence?
councilmen/demonstrators
```
I split into the 2 variants:
```
The city councilmen refused the demonstrators a permit because they feared violence.
Who feared violence?
councilmen/demonstrators
The city councilmen refused the demonstrators a permit because they advocated violence.
Who advocated violence?
councilmen/demonstrators
```
I can't see any use for having the options combined into a single example (splitting them is [the way decaNLP processes](https://github.com/salesforce/decaNLP/blob/1e9605f246b9e05199b28bde2a2093bc49feeeaa/text/torchtext/datasets/generic.py#L846-L850)) them. You can't train on both versions with them combined, and splitting the examples later would be a pain to do. I think [winogrande.py](https://github.com/huggingface/nlp/blob/master/datasets/winogrande/winogrande.py) presents the data in this way?
- I've not used the decaNLP framing (appending the options to the question e.g. `Who feared violence?
-- councilmen or demonstrators?`) but left it more generic by adding the options as a new key: `"options":["councilmen","demonstrators"]` This should be an easy thing to change using `map` if needed by a specific application.
Dataset is working as-is but if anyone has any thoughts/preferences on the design decisions here I'm definitely open to different choices. | {
"+1": 3,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 3,
"url": "https://api.github.com/repos/huggingface/datasets/issues/313/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/313/timeline | null | null | true | [
"Looks good to me"
] |
https://api.github.com/repos/huggingface/datasets/issues/312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/312/comments | https://api.github.com/repos/huggingface/datasets/issues/312/events | https://github.com/huggingface/datasets/issues/312 | 645,025,561 | MDU6SXNzdWU2NDUwMjU1NjE= | 312 | [Feature request] Add `shard()` method to dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/4564897?v=4",
"events_url": "https://api.github.com/users/jarednielsen/events{/privacy}",
"followers_url": "https://api.github.com/users/jarednielsen/followers",
"following_url": "https://api.github.com/users/jarednielsen/following{/other_user}",
"gists_url": "https://api.github.com/users/jarednielsen/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jarednielsen",
"id": 4564897,
"login": "jarednielsen",
"node_id": "MDQ6VXNlcjQ1NjQ4OTc=",
"organizations_url": "https://api.github.com/users/jarednielsen/orgs",
"received_events_url": "https://api.github.com/users/jarednielsen/received_events",
"repos_url": "https://api.github.com/users/jarednielsen/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jarednielsen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jarednielsen/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jarednielsen"
} | [] | closed | false | null | [] | null | 2 | 2020-06-24T22:48:33Z | 2020-07-06T12:35:36Z | 2020-07-06T12:35:36Z | CONTRIBUTOR | null | null | null | Currently, to shard a dataset into 10 pieces on different ranks, you can run
```python
rank = 3 # for example
size = 10
dataset = nlp.load_dataset('wikitext', 'wikitext-2-raw-v1', split=f"train[{rank*10}%:{(rank+1)*10}%]")
```
However, this breaks down if you have a number of ranks that doesn't divide cleanly into 100, such as 64 ranks. Is there interest in adding a method shard() that looks like this?
```python
rank = 3
size = 64
dataset = nlp.load_dataset("wikitext", "wikitext-2-raw-v1", split="train").shard(rank=rank, size=size)
```
TensorFlow has a similar API: https://www.tensorflow.org/api_docs/python/tf/data/Dataset#shard. I'd be happy to contribute this code. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/312/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/312/timeline | null | completed | false | [
"Hi Jared,\r\nInteresting, thanks for raising this question. You can also do that after loading with `dataset.select()` or `dataset.filter()` which let you keep only a specific subset of rows in a dataset.\r\nWhat is your use-case for sharding?",
"Thanks for the pointer to those functions! It's still a little mor... |
https://api.github.com/repos/huggingface/datasets/issues/311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/311/comments | https://api.github.com/repos/huggingface/datasets/issues/311/events | https://github.com/huggingface/datasets/pull/311 | 645,013,131 | MDExOlB1bGxSZXF1ZXN0NDM5NTQ3OTg0 | 311 | Add qa_zre | {
"avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4",
"events_url": "https://api.github.com/users/ghomasHudson/events{/privacy}",
"followers_url": "https://api.github.com/users/ghomasHudson/followers",
"following_url": "https://api.github.com/users/ghomasHudson/following{/other_user}",
"gists_url": "https://api.github.com/users/ghomasHudson/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghomasHudson",
"id": 13795113,
"login": "ghomasHudson",
"node_id": "MDQ6VXNlcjEzNzk1MTEz",
"organizations_url": "https://api.github.com/users/ghomasHudson/orgs",
"received_events_url": "https://api.github.com/users/ghomasHudson/received_events",
"repos_url": "https://api.github.com/users/ghomasHudson/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghomasHudson/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghomasHudson/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghomasHudson"
} | [] | closed | false | null | [] | null | 0 | 2020-06-24T22:17:22Z | 2020-06-29T16:37:38Z | 2020-06-29T16:37:38Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/311.diff",
"html_url": "https://github.com/huggingface/datasets/pull/311",
"merged_at": "2020-06-29T16:37:38Z",
"patch_url": "https://github.com/huggingface/datasets/pull/311.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/311"
} | Adding the QA-ZRE dataset from ["Zero-Shot Relation Extraction via Reading Comprehension"](http://nlp.cs.washington.edu/zeroshot/).
A common processing step seems to be replacing the `XXX` placeholder with the `subject`. I've left this out as it's something you could easily do with `map`. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/311/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/311/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/310/comments | https://api.github.com/repos/huggingface/datasets/issues/310/events | https://github.com/huggingface/datasets/pull/310 | 644,806,720 | MDExOlB1bGxSZXF1ZXN0NDM5MzY1MDg5 | 310 | add wikisql | {
"avatar_url": "https://avatars.githubusercontent.com/u/13795113?v=4",
"events_url": "https://api.github.com/users/ghomasHudson/events{/privacy}",
"followers_url": "https://api.github.com/users/ghomasHudson/followers",
"following_url": "https://api.github.com/users/ghomasHudson/following{/other_user}",
"gists_url": "https://api.github.com/users/ghomasHudson/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ghomasHudson",
"id": 13795113,
"login": "ghomasHudson",
"node_id": "MDQ6VXNlcjEzNzk1MTEz",
"organizations_url": "https://api.github.com/users/ghomasHudson/orgs",
"received_events_url": "https://api.github.com/users/ghomasHudson/received_events",
"repos_url": "https://api.github.com/users/ghomasHudson/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ghomasHudson/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghomasHudson/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ghomasHudson"
} | [] | closed | false | null | [] | null | 1 | 2020-06-24T18:00:35Z | 2020-06-25T12:32:25Z | 2020-06-25T12:32:25Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/310.diff",
"html_url": "https://github.com/huggingface/datasets/pull/310",
"merged_at": "2020-06-25T12:32:25Z",
"patch_url": "https://github.com/huggingface/datasets/pull/310.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/310"
} | Adding the [WikiSQL](https://github.com/salesforce/WikiSQL) dataset.
Interesting things to note:
- Have copied the function (`_convert_to_human_readable`) which converts the SQL query to a human-readable (string) format as this is what most people will want when actually using this dataset for NLP applications.
- `conds` was originally a tuple but is converted to a dictionary to support differing types.
Would be nice to add the logical_form metrics too at some point. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/310/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/310/timeline | null | null | true | [
"That's great work @ghomasHudson !"
] |
https://api.github.com/repos/huggingface/datasets/issues/309 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/309/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/309/comments | https://api.github.com/repos/huggingface/datasets/issues/309/events | https://github.com/huggingface/datasets/pull/309 | 644,783,822 | MDExOlB1bGxSZXF1ZXN0NDM5MzQ1NzYz | 309 | Add narrative qa | {
"avatar_url": "https://avatars.githubusercontent.com/u/8019486?v=4",
"events_url": "https://api.github.com/users/Varal7/events{/privacy}",
"followers_url": "https://api.github.com/users/Varal7/followers",
"following_url": "https://api.github.com/users/Varal7/following{/other_user}",
"gists_url": "https://api.github.com/users/Varal7/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Varal7",
"id": 8019486,
"login": "Varal7",
"node_id": "MDQ6VXNlcjgwMTk0ODY=",
"organizations_url": "https://api.github.com/users/Varal7/orgs",
"received_events_url": "https://api.github.com/users/Varal7/received_events",
"repos_url": "https://api.github.com/users/Varal7/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Varal7/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Varal7/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Varal7"
} | [] | closed | false | null | [] | null | 11 | 2020-06-24T17:26:18Z | 2020-09-03T09:02:10Z | 2020-09-03T09:02:09Z | NONE | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/309.diff",
"html_url": "https://github.com/huggingface/datasets/pull/309",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/309.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/309"
} | Test cases for dummy data don't pass
Only contains data for summaries (not whole story) | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/309/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/309/timeline | null | null | true | [
"Does it make sense to download the full stories? I remember attempting to implement this dataset a while ago and ended up with something like:\r\n```python\r\n def _split_generators(self, dl_manager):\r\n \"\"\"Returns SplitGenerators.\"\"\"\r\n\r\n dl_dir = dl_manager.download_and_extract(_DOWNLO... |
https://api.github.com/repos/huggingface/datasets/issues/308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/308/comments | https://api.github.com/repos/huggingface/datasets/issues/308/events | https://github.com/huggingface/datasets/pull/308 | 644,195,251 | MDExOlB1bGxSZXF1ZXN0NDM4ODYyMzYy | 308 | Specify utf-8 encoding for MRPC files | {
"avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4",
"events_url": "https://api.github.com/users/patpizio/events{/privacy}",
"followers_url": "https://api.github.com/users/patpizio/followers",
"following_url": "https://api.github.com/users/patpizio/following{/other_user}",
"gists_url": "https://api.github.com/users/patpizio/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patpizio",
"id": 15801338,
"login": "patpizio",
"node_id": "MDQ6VXNlcjE1ODAxMzM4",
"organizations_url": "https://api.github.com/users/patpizio/orgs",
"received_events_url": "https://api.github.com/users/patpizio/received_events",
"repos_url": "https://api.github.com/users/patpizio/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patpizio/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patpizio/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patpizio"
} | [] | closed | false | null | [] | null | 0 | 2020-06-23T22:44:36Z | 2020-06-25T12:52:21Z | 2020-06-25T12:16:10Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/308.diff",
"html_url": "https://github.com/huggingface/datasets/pull/308",
"merged_at": "2020-06-25T12:16:09Z",
"patch_url": "https://github.com/huggingface/datasets/pull/308.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/308"
} | Fixes #307, again probably a Windows-related issue. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/308/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/308/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/307 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/307/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/307/comments | https://api.github.com/repos/huggingface/datasets/issues/307/events | https://github.com/huggingface/datasets/issues/307 | 644,187,262 | MDU6SXNzdWU2NDQxODcyNjI= | 307 | Specify encoding for MRPC | {
"avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4",
"events_url": "https://api.github.com/users/patpizio/events{/privacy}",
"followers_url": "https://api.github.com/users/patpizio/followers",
"following_url": "https://api.github.com/users/patpizio/following{/other_user}",
"gists_url": "https://api.github.com/users/patpizio/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patpizio",
"id": 15801338,
"login": "patpizio",
"node_id": "MDQ6VXNlcjE1ODAxMzM4",
"organizations_url": "https://api.github.com/users/patpizio/orgs",
"received_events_url": "https://api.github.com/users/patpizio/received_events",
"repos_url": "https://api.github.com/users/patpizio/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patpizio/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patpizio/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patpizio"
} | [] | closed | false | null | [] | null | 0 | 2020-06-23T22:24:49Z | 2020-06-25T12:16:09Z | 2020-06-25T12:16:09Z | CONTRIBUTOR | null | null | null | Same as #242, but with MRPC: on Windows, I get a `UnicodeDecodeError` when I try to download the dataset:
```python
dataset = nlp.load_dataset('glue', 'mrpc')
```
```python
Downloading and preparing dataset glue/mrpc (download: Unknown size, generated: Unknown size, total: Unknown size) to C:\Users\Python\.cache\huggingface\datasets\glue\mrpc\1.0.0...
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in incomplete_dir(dirname)
369 try:
--> 370 yield tmp_dir
371 if os.path.isdir(dirname):
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
430 verify_infos = not save_infos and not ignore_verifications
--> 431 self._download_and_prepare(
432 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
482 # Prepare split will record examples associated to the split
--> 483 self._prepare_split(split_generator, **prepare_split_kwargs)
484 except OSError:
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in _prepare_split(self, split_generator)
663 generator = self._generate_examples(**split_generator.gen_kwargs)
--> 664 for key, record in utils.tqdm(generator, unit=" examples", total=split_info.num_examples, leave=False):
665 example = self.info.features.encode_example(record)
~\Miniconda3\envs\nlp\lib\site-packages\tqdm\notebook.py in __iter__(self, *args, **kwargs)
217 try:
--> 218 for obj in super(tqdm_notebook, self).__iter__(*args, **kwargs):
219 # return super(tqdm...) will not catch exception
~\Miniconda3\envs\nlp\lib\site-packages\tqdm\std.py in __iter__(self)
1128 try:
-> 1129 for obj in iterable:
1130 yield obj
~\Miniconda3\envs\nlp\lib\site-packages\nlp\datasets\glue\7fc58099eb3983a04c8dac8500b70d27e6eceae63ffb40d7900c977897bb58c6\glue.py in _generate_examples(self, data_file, split, mrpc_files)
514 examples = self._generate_example_mrpc_files(mrpc_files=mrpc_files, split=split)
--> 515 for example in examples:
516 yield example["idx"], example
~\Miniconda3\envs\nlp\lib\site-packages\nlp\datasets\glue\7fc58099eb3983a04c8dac8500b70d27e6eceae63ffb40d7900c977897bb58c6\glue.py in _generate_example_mrpc_files(self, mrpc_files, split)
576 reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
--> 577 for n, row in enumerate(reader):
578 is_row_in_dev = [row["#1 ID"], row["#2 ID"]] in dev_ids
~\Miniconda3\envs\nlp\lib\csv.py in __next__(self)
110 self.fieldnames
--> 111 row = next(self.reader)
112 self.line_num = self.reader.line_num
~\Miniconda3\envs\nlp\lib\encodings\cp1252.py in decode(self, input, final)
22 def decode(self, input, final=False):
---> 23 return codecs.charmap_decode(input,self.errors,decoding_table)[0]
24
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 1180: character maps to <undefined>
```
The fix is the same: specify `utf-8` encoding when opening the file. The previous fix didn't work as MRPC's download process is different from the others in GLUE.
I am going to propose a new PR :) | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/307/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/307/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/306/comments | https://api.github.com/repos/huggingface/datasets/issues/306/events | https://github.com/huggingface/datasets/pull/306 | 644,176,078 | MDExOlB1bGxSZXF1ZXN0NDM4ODQ2MTI3 | 306 | add pg19 dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/108653?v=4",
"events_url": "https://api.github.com/users/lucidrains/events{/privacy}",
"followers_url": "https://api.github.com/users/lucidrains/followers",
"following_url": "https://api.github.com/users/lucidrains/following{/other_user}",
"gists_url": "https://api.github.com/users/lucidrains/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lucidrains",
"id": 108653,
"login": "lucidrains",
"node_id": "MDQ6VXNlcjEwODY1Mw==",
"organizations_url": "https://api.github.com/users/lucidrains/orgs",
"received_events_url": "https://api.github.com/users/lucidrains/received_events",
"repos_url": "https://api.github.com/users/lucidrains/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lucidrains/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lucidrains/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lucidrains"
} | [] | closed | false | null | [] | null | 12 | 2020-06-23T22:03:52Z | 2020-07-06T07:55:59Z | 2020-07-06T07:55:59Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/306.diff",
"html_url": "https://github.com/huggingface/datasets/pull/306",
"merged_at": "2020-07-06T07:55:59Z",
"patch_url": "https://github.com/huggingface/datasets/pull/306.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/306"
} | https://github.com/huggingface/nlp/issues/274
Add functioning PG19 dataset with dummy data
`cos_e.py` was just auto-linted by `make style` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/306/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/306/timeline | null | null | true | [
"@lucidrains - Thanks a lot for making the PR - PG19 is a super important dataset! Thanks for making it. Many people are asking for PG-19, so it would be great to have that in the library as soon as possible @thomwolf .",
"@mariamabarham yup! around 11GB!",
"I'm looking forward to our first deep learning writte... |
https://api.github.com/repos/huggingface/datasets/issues/305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/305/comments | https://api.github.com/repos/huggingface/datasets/issues/305/events | https://github.com/huggingface/datasets/issues/305 | 644,148,149 | MDU6SXNzdWU2NDQxNDgxNDk= | 305 | Importing downloaded package repository fails | {
"avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4",
"events_url": "https://api.github.com/users/yjernite/events{/privacy}",
"followers_url": "https://api.github.com/users/yjernite/followers",
"following_url": "https://api.github.com/users/yjernite/following{/other_user}",
"gists_url": "https://api.github.com/users/yjernite/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/yjernite",
"id": 10469459,
"login": "yjernite",
"node_id": "MDQ6VXNlcjEwNDY5NDU5",
"organizations_url": "https://api.github.com/users/yjernite/orgs",
"received_events_url": "https://api.github.com/users/yjernite/received_events",
"repos_url": "https://api.github.com/users/yjernite/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/yjernite/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yjernite/subscriptions",
"type": "User",
"url": "https://api.github.com/users/yjernite"
} | [
{
"color": "25b21e",
"default": false,
"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
"node_id": "MDU6TGFiZWwyMDY3MzkzOTE0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/metric%20bug"
}
] | closed | false | null | [] | null | 0 | 2020-06-23T21:09:05Z | 2020-07-30T16:44:23Z | 2020-07-30T16:44:23Z | MEMBER | null | null | null | The `get_imports` function in `src/nlp/load.py` has a feature to download a package as a zip archive of the github repository and import functions from the unpacked directory. This is used for example in the `metrics/coval.py` file, and would be useful to add BLEURT (@ankparikh).
Currently however, the code seems to have trouble with imports within the package. For example:
```
import nlp
coval = nlp.load_metric('coval')
```
yields:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/yacine/Code/nlp/src/nlp/load.py", line 432, in load_metric
metric_cls = import_main_class(module_path, dataset=False)
File "/home/yacine/Code/nlp/src/nlp/load.py", line 57, in import_main_class
module = importlib.import_module(module_path)
File "/home/yacine/anaconda3/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/home/yacine/Code/nlp/src/nlp/metrics/coval/a78807df33ac45edbb71799caf2b3b47e55df4fd690267808fe963a5e8b30952/coval.py", line 21, in <module>
from .coval_backend.conll import reader # From: https://github.com/ns-moosavi/coval
File "/home/yacine/Code/nlp/src/nlp/metrics/coval/a78807df33ac45edbb71799caf2b3b47e55df4fd690267808fe963a5e8b30952/coval_backend/conll/reader.py", line 2, in <module>
from conll import mention
ModuleNotFoundError: No module named 'conll'
```
Not sure what the fix would be there. | {
"+1": 0,
"-1": 0,
"confused": 1,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/305/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/305/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/304 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/304/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/304/comments | https://api.github.com/repos/huggingface/datasets/issues/304/events | https://github.com/huggingface/datasets/issues/304 | 644,091,970 | MDU6SXNzdWU2NDQwOTE5NzA= | 304 | Problem while printing doc string when instantiating multiple metrics. | {
"avatar_url": "https://avatars.githubusercontent.com/u/51091425?v=4",
"events_url": "https://api.github.com/users/codehunk628/events{/privacy}",
"followers_url": "https://api.github.com/users/codehunk628/followers",
"following_url": "https://api.github.com/users/codehunk628/following{/other_user}",
"gists_url": "https://api.github.com/users/codehunk628/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/codehunk628",
"id": 51091425,
"login": "codehunk628",
"node_id": "MDQ6VXNlcjUxMDkxNDI1",
"organizations_url": "https://api.github.com/users/codehunk628/orgs",
"received_events_url": "https://api.github.com/users/codehunk628/received_events",
"repos_url": "https://api.github.com/users/codehunk628/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/codehunk628/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/codehunk628/subscriptions",
"type": "User",
"url": "https://api.github.com/users/codehunk628"
} | [
{
"color": "25b21e",
"default": false,
"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
"node_id": "MDU6TGFiZWwyMDY3MzkzOTE0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/metric%20bug"
}
] | closed | false | null | [] | null | 0 | 2020-06-23T19:32:05Z | 2020-07-22T09:50:58Z | 2020-07-22T09:50:58Z | CONTRIBUTOR | null | null | null | When I load more than one metric and try to print doc string of a particular metric,. It shows the doc strings of all imported metric one after the other which looks quite confusing and clumsy.
Attached [Colab](https://colab.research.google.com/drive/13H0ZgyQ2se0mqJ2yyew0bNEgJuHaJ8H3?usp=sharing) Notebook for problem clarification.. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/304/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/304/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/303/comments | https://api.github.com/repos/huggingface/datasets/issues/303/events | https://github.com/huggingface/datasets/pull/303 | 643,912,464 | MDExOlB1bGxSZXF1ZXN0NDM4NjI3Nzcw | 303 | allow to move files across file systems | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-23T14:56:08Z | 2020-06-23T15:08:44Z | 2020-06-23T15:08:43Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/303.diff",
"html_url": "https://github.com/huggingface/datasets/pull/303",
"merged_at": "2020-06-23T15:08:43Z",
"patch_url": "https://github.com/huggingface/datasets/pull/303.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/303"
} | Users are allowed to use the `cache_dir` that they want.
Therefore it can happen that we try to move files across filesystems.
We were using `os.rename` that doesn't allow that, so I changed some of them to `shutil.move`.
This should fix #301 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/303/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/303/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/302/comments | https://api.github.com/repos/huggingface/datasets/issues/302/events | https://github.com/huggingface/datasets/issues/302 | 643,910,418 | MDU6SXNzdWU2NDM5MTA0MTg= | 302 | Question - Sign Language Datasets | {
"avatar_url": "https://avatars.githubusercontent.com/u/5757359?v=4",
"events_url": "https://api.github.com/users/AmitMY/events{/privacy}",
"followers_url": "https://api.github.com/users/AmitMY/followers",
"following_url": "https://api.github.com/users/AmitMY/following{/other_user}",
"gists_url": "https://api.github.com/users/AmitMY/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/AmitMY",
"id": 5757359,
"login": "AmitMY",
"node_id": "MDQ6VXNlcjU3NTczNTk=",
"organizations_url": "https://api.github.com/users/AmitMY/orgs",
"received_events_url": "https://api.github.com/users/AmitMY/received_events",
"repos_url": "https://api.github.com/users/AmitMY/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/AmitMY/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/AmitMY/subscriptions",
"type": "User",
"url": "https://api.github.com/users/AmitMY"
} | [
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
},
{
"color": "c5def5",
"default": fals... | closed | false | null | [] | null | 3 | 2020-06-23T14:53:40Z | 2020-11-25T11:25:33Z | 2020-11-25T11:25:33Z | CONTRIBUTOR | null | null | null | An emerging field in NLP is SLP - sign language processing.
I was wondering about adding datasets here, specifically because it's shaping up to be large and easily usable.
The metrics for sign language to text translation are the same.
So, what do you think about (me, or others) adding datasets here?
An example dataset would be [RWTH-PHOENIX-Weather 2014 T](https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/)
For every item in the dataset, the data object includes:
1. video_path - path to mp4 file
2. pose_path - a path to `.pose` file with human pose landmarks
3. openpose_path - a path to a `.json` file with human pose landmarks
4. gloss - string
5. text - string
6. video_metadata - height, width, frames, framerate
------
To make it a tad more complicated - what if sign language libraries add requirements to `nlp`? for example, sign language is commonly annotated using `ilex`, `eaf`, or `srt` files, which are all loadable as text, but there is no reason for the dataset to parse that file by itself, if libraries exist to do so. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/302/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/302/timeline | null | completed | false | [
"Even more complicating - \r\n\r\nAs I see it, datasets can have \"addons\".\r\nFor example, the WebNLG dataset is a dataset for data-to-text. However, a work of mine and other works enriched this dataset with text plans / underlying text structures. In that case, I see a need to load the dataset \"WebNLG\" with \"... |
https://api.github.com/repos/huggingface/datasets/issues/301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/301/comments | https://api.github.com/repos/huggingface/datasets/issues/301/events | https://github.com/huggingface/datasets/issues/301 | 643,763,525 | MDU6SXNzdWU2NDM3NjM1MjU= | 301 | Setting cache_dir gives error on wikipedia download | {
"avatar_url": "https://avatars.githubusercontent.com/u/33862536?v=4",
"events_url": "https://api.github.com/users/hallvagi/events{/privacy}",
"followers_url": "https://api.github.com/users/hallvagi/followers",
"following_url": "https://api.github.com/users/hallvagi/following{/other_user}",
"gists_url": "https://api.github.com/users/hallvagi/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/hallvagi",
"id": 33862536,
"login": "hallvagi",
"node_id": "MDQ6VXNlcjMzODYyNTM2",
"organizations_url": "https://api.github.com/users/hallvagi/orgs",
"received_events_url": "https://api.github.com/users/hallvagi/received_events",
"repos_url": "https://api.github.com/users/hallvagi/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/hallvagi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/hallvagi/subscriptions",
"type": "User",
"url": "https://api.github.com/users/hallvagi"
} | [] | closed | false | null | [] | null | 2 | 2020-06-23T11:31:44Z | 2020-06-24T07:05:07Z | 2020-06-24T07:05:07Z | NONE | null | null | null | First of all thank you for a super handy library! I'd like to download large files to a specific drive so I set `cache_dir=my_path`. This works fine with e.g. imdb and squad. But on wikipedia I get an error:
```
nlp.load_dataset('wikipedia', '20200501.de', split = 'train', cache_dir=my_path)
```
```
OSError Traceback (most recent call last)
<ipython-input-2-23551344d7bc> in <module>
1 import nlp
----> 2 nlp.load_dataset('wikipedia', '20200501.de', split = 'train', cache_dir=path)
~/anaconda3/envs/fastai2/lib/python3.7/site-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
522 download_mode=download_mode,
523 ignore_verifications=ignore_verifications,
--> 524 save_infos=save_infos,
525 )
526
~/anaconda3/envs/fastai2/lib/python3.7/site-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
385 with utils.temporary_assignment(self, "_cache_dir", tmp_data_dir):
386 reader = ArrowReader(self._cache_dir, self.info)
--> 387 reader.download_from_hf_gcs(self._cache_dir, self._relative_data_dir(with_version=True))
388 downloaded_info = DatasetInfo.from_directory(self._cache_dir)
389 self.info.update(downloaded_info)
~/anaconda3/envs/fastai2/lib/python3.7/site-packages/nlp/arrow_reader.py in download_from_hf_gcs(self, cache_dir, relative_data_dir)
231 remote_dataset_info = os.path.join(remote_cache_dir, "dataset_info.json")
232 downloaded_dataset_info = cached_path(remote_dataset_info)
--> 233 os.rename(downloaded_dataset_info, os.path.join(cache_dir, "dataset_info.json"))
234 if self._info is not None:
235 self._info.update(self._info.from_directory(cache_dir))
OSError: [Errno 18] Invalid cross-device link: '/home/local/NTU/nn/.cache/huggingface/datasets/025fa4fd4f04aaafc9e939260fbc8f0bb190ce14c61310c8ae1ddd1dcb31f88c.9637f367b6711a79ca478be55fe6989b8aea4941b7ef7adc67b89ff403020947' -> '/data/nn/nlp/wikipedia/20200501.de/1.0.0.incomplete/dataset_info.json'
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/301/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/301/timeline | null | completed | false | [
"Whoops didn't mean to close this one.\r\nI did some changes, could you try to run it from the master branch ?",
"Now it works, thanks!"
] |
https://api.github.com/repos/huggingface/datasets/issues/300 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/300/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/300/comments | https://api.github.com/repos/huggingface/datasets/issues/300/events | https://github.com/huggingface/datasets/pull/300 | 643,688,304 | MDExOlB1bGxSZXF1ZXN0NDM4NDQ4Mjk1 | 300 | Fix bertscore references | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-23T09:38:59Z | 2020-06-23T14:47:38Z | 2020-06-23T14:47:37Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/300.diff",
"html_url": "https://github.com/huggingface/datasets/pull/300",
"merged_at": "2020-06-23T14:47:36Z",
"patch_url": "https://github.com/huggingface/datasets/pull/300.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/300"
} | I added some type checking for metrics. There was an issue where a metric could interpret a string a a list. A `ValueError` is raised if a string is given instead of a list.
Moreover I added support for both strings and lists of strings for `references` in `bertscore`, as it is the case in the original code.
Both ways work:
```
import nlp
scorer = nlp.load_metric("bertscore")
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
scorer.add(lp, [lg])
score = scorer.compute(lang="en")
```
```
import nlp
scorer = nlp.load_metric("bertscore")
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
scorer.add(lp, lg)
score = scorer.compute(lang="en")
```
This should fix #295 and #238 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/300/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/300/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/299/comments | https://api.github.com/repos/huggingface/datasets/issues/299/events | https://github.com/huggingface/datasets/pull/299 | 643,611,557 | MDExOlB1bGxSZXF1ZXN0NDM4Mzg0NDgw | 299 | remove some print in snli file | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [] | closed | false | null | [] | null | 1 | 2020-06-23T07:46:06Z | 2020-06-23T08:10:46Z | 2020-06-23T08:10:44Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/299.diff",
"html_url": "https://github.com/huggingface/datasets/pull/299",
"merged_at": "2020-06-23T08:10:44Z",
"patch_url": "https://github.com/huggingface/datasets/pull/299.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/299"
} | This PR removes unwanted `print` statements in some files such as `snli.py` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/299/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/299/timeline | null | null | true | [
"I guess you can just rebase from master to fix the CI"
] |
https://api.github.com/repos/huggingface/datasets/issues/298 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/298/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/298/comments | https://api.github.com/repos/huggingface/datasets/issues/298/events | https://github.com/huggingface/datasets/pull/298 | 643,603,804 | MDExOlB1bGxSZXF1ZXN0NDM4Mzc4MDM4 | 298 | Add searchable datasets | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 8 | 2020-06-23T07:33:03Z | 2020-06-26T07:50:44Z | 2020-06-26T07:50:43Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/298.diff",
"html_url": "https://github.com/huggingface/datasets/pull/298",
"merged_at": "2020-06-26T07:50:43Z",
"patch_url": "https://github.com/huggingface/datasets/pull/298.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/298"
} | # Better support for Numpy format + Add Indexed Datasets
I was working on adding Indexed Datasets but in the meantime I had to also add more support for Numpy arrays in the lib.
## Better support for Numpy format
New features:
- New fast method to convert Numpy arrays from Arrow structure (up to x100 speed up) using Pandas.
- Allow to output Numpy arrays in batched `.map`, which was the only missing part to fully support Numpy arrays.
Pandas offers fast zero-copy Numpy arrays conversion from Arrow structures.
Using it we can speed up the reading of memory-mapped Numpy array stored in Arrow format.
With these changes you can easily compute embeddings of texts using `.map()`. For example:
```python
def embed(text):
tokenized_example = tokenizer.encode(text, return_tensors="pt")
embeddings = bert_encoder(tokenized_examples).numpy()
return embeddings
dset_with_embeddings = dset.map(lambda example: {"embeddings": embed(example["text])})
```
And then reading the embeddings from the arrow format is be very fast.
PS1: Note that right now only 1d arrays are supported.
PS2: It seems possible to do without pandas but it will require more _trickery_.
PS3: I did a simple benchmark with google colab that you can view here:
https://colab.research.google.com/drive/1QlLTR6LRwYOKGJ-hTHmHyolE3wJzvfFg?usp=sharing
## Add Indexed Datasets
For many retrieval tasks it is convenient to index a dataset to be able to run fast queries.
For example for models like DPR, REALM, RAG etc. that are models for Open Domain QA, the retrieval step is very important.
Therefore I added two ways to add an index to a column of a dataset:
1) You can index it using a Dense Index like Faiss. It is used to index vectors.
Faiss is a library for efficient similarity search and clustering of dense vectors.
It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM.
2) You can index it using a Sparse Index like Elasticsearch. It is used to index text and run queries based on BM25 similarity.
Example of usage:
```python
ds = nlp.load_dataset('crime_and_punish', split='train')
ds_with_embeddings = ds.map(lambda example: {'embeddings': embed(example['line']})) # `embed` outputs a `np.array`
ds_with_embeddings.add_vector_index(column='embeddings')
scores, retrieved_examples = ds_with_embeddings.get_nearest(column='embeddings', query=embed('my new query'), k=10)
```
```python
ds = nlp.load_dataset('crime_and_punish', split='train')
es_client = elasticsearch.Elasticsearch()
ds.add_text_index(column='line', es_client=es_client, index_name="my_es_index")
scores, retrieved_examples = ds.get_nearest(column='line', query='my new query', k=10)
```
PS4: Faiss allows to specify many options for the [index](https://github.com/facebookresearch/faiss/wiki/The-index-factory) and for [GPU settings](https://github.com/facebookresearch/faiss/wiki/Faiss-on-the-GPU). I made sure that the user has full control over those settings.
## Tests
I added tests for Faiss, Elasticsearch and indexed datasets.
I had to edit the CI config because all the test scripts were not being run by CircleCI.
------------------
I'd be really happy to have some feedbacks :) | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 1,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/298/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/298/timeline | null | null | true | [
"Looks very cool! Only looked at it superficially though",
"Alright I think I've checked all your comments, thanks :)\r\n\r\nMoreover I just added a way to serialize faiss indexes.\r\nThis is important because for big datasets the index construction can take some time.\r\n\r\nExamples:\r\n\r\n```python\r\nds = nl... |
https://api.github.com/repos/huggingface/datasets/issues/297 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/297/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/297/comments | https://api.github.com/repos/huggingface/datasets/issues/297/events | https://github.com/huggingface/datasets/issues/297 | 643,444,625 | MDU6SXNzdWU2NDM0NDQ2MjU= | 297 | Error in Demo for Specific Datasets | {
"avatar_url": "https://avatars.githubusercontent.com/u/60150701?v=4",
"events_url": "https://api.github.com/users/s-jse/events{/privacy}",
"followers_url": "https://api.github.com/users/s-jse/followers",
"following_url": "https://api.github.com/users/s-jse/following{/other_user}",
"gists_url": "https://api.github.com/users/s-jse/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/s-jse",
"id": 60150701,
"login": "s-jse",
"node_id": "MDQ6VXNlcjYwMTUwNzAx",
"organizations_url": "https://api.github.com/users/s-jse/orgs",
"received_events_url": "https://api.github.com/users/s-jse/received_events",
"repos_url": "https://api.github.com/users/s-jse/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/s-jse/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/s-jse/subscriptions",
"type": "User",
"url": "https://api.github.com/users/s-jse"
} | [
{
"color": "94203D",
"default": false,
"description": "",
"id": 2107841032,
"name": "nlp-viewer",
"node_id": "MDU6TGFiZWwyMTA3ODQxMDMy",
"url": "https://api.github.com/repos/huggingface/datasets/labels/nlp-viewer"
}
] | closed | false | null | [] | null | 3 | 2020-06-23T00:38:42Z | 2020-07-17T17:43:06Z | 2020-07-17T17:43:06Z | NONE | null | null | null | Selecting `natural_questions` or `newsroom` dataset in the online demo results in an error similar to the following.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/297/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/297/timeline | null | completed | false | [
"Thanks for reporting these errors :)\r\n\r\nI can actually see two issues here.\r\n\r\nFirst, datasets like `natural_questions` require apache_beam to be processed. Right now the import is not at the right place so we have this error message. However, even the imports are fixed, the nlp viewer doesn't actually hav... |
https://api.github.com/repos/huggingface/datasets/issues/296 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/296/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/296/comments | https://api.github.com/repos/huggingface/datasets/issues/296/events | https://github.com/huggingface/datasets/issues/296 | 643,423,717 | MDU6SXNzdWU2NDM0MjM3MTc= | 296 | snli -1 labels | {
"avatar_url": "https://avatars.githubusercontent.com/u/13238952?v=4",
"events_url": "https://api.github.com/users/jxmorris12/events{/privacy}",
"followers_url": "https://api.github.com/users/jxmorris12/followers",
"following_url": "https://api.github.com/users/jxmorris12/following{/other_user}",
"gists_url": "https://api.github.com/users/jxmorris12/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jxmorris12",
"id": 13238952,
"login": "jxmorris12",
"node_id": "MDQ6VXNlcjEzMjM4OTUy",
"organizations_url": "https://api.github.com/users/jxmorris12/orgs",
"received_events_url": "https://api.github.com/users/jxmorris12/received_events",
"repos_url": "https://api.github.com/users/jxmorris12/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jxmorris12/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jxmorris12/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jxmorris12"
} | [] | closed | false | null | [] | null | 4 | 2020-06-22T23:33:30Z | 2020-06-23T14:41:59Z | 2020-06-23T14:41:58Z | CONTRIBUTOR | null | null | null | I'm trying to train a model on the SNLI dataset. Why does it have so many -1 labels?
```
import nlp
from collections import Counter
data = nlp.load_dataset('snli')['train']
print(Counter(data['label']))
Counter({0: 183416, 2: 183187, 1: 182764, -1: 785})
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/296/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/296/timeline | null | completed | false | [
"@jxmorris12 , we use `-1` to label examples for which `gold label` is missing (`gold label = -` in the original dataset). ",
"Thanks @mariamabarham! so the original dataset is missing some labels? That is weird. Is standard practice just to discard those examples training/eval?",
"Yes the original dataset is... |
https://api.github.com/repos/huggingface/datasets/issues/295 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/295/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/295/comments | https://api.github.com/repos/huggingface/datasets/issues/295/events | https://github.com/huggingface/datasets/issues/295 | 643,245,412 | MDU6SXNzdWU2NDMyNDU0MTI= | 295 | Improve input warning for evaluation metrics | {
"avatar_url": "https://avatars.githubusercontent.com/u/19514537?v=4",
"events_url": "https://api.github.com/users/Tiiiger/events{/privacy}",
"followers_url": "https://api.github.com/users/Tiiiger/followers",
"following_url": "https://api.github.com/users/Tiiiger/following{/other_user}",
"gists_url": "https://api.github.com/users/Tiiiger/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Tiiiger",
"id": 19514537,
"login": "Tiiiger",
"node_id": "MDQ6VXNlcjE5NTE0NTM3",
"organizations_url": "https://api.github.com/users/Tiiiger/orgs",
"received_events_url": "https://api.github.com/users/Tiiiger/received_events",
"repos_url": "https://api.github.com/users/Tiiiger/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Tiiiger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Tiiiger/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Tiiiger"
} | [] | closed | false | null | [] | null | 0 | 2020-06-22T17:28:57Z | 2020-06-23T14:47:37Z | 2020-06-23T14:47:37Z | NONE | null | null | null | Hi,
I am the author of `bert_score`. Recently, we received [ an issue ](https://github.com/Tiiiger/bert_score/issues/62) reporting a problem in using `bert_score` from the `nlp` package (also see #238 in this repo). After looking into this, I realized that the problem arises from the format `nlp.Metric` takes input.
Here is a minimal example:
```python
import nlp
scorer = nlp.load_metric("bertscore")
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
scorer.add(lp, lg)
score = scorer.compute(lang="en")
```
The problem in the above code is that `scorer.add()` expects a list of strings as input for the references. As a result, the `scorer` here would take a list of characters in `lg` to be the references. The correct implementation would be calling
```python
scorer.add(lp, [lg])
```
I just want to raise this issue to you to prevent future user errors of a similar kind. I assume some simple type checking can prevent this from happening?
Thanks! | {
"+1": 2,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 2,
"url": "https://api.github.com/repos/huggingface/datasets/issues/295/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/295/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/294/comments | https://api.github.com/repos/huggingface/datasets/issues/294/events | https://github.com/huggingface/datasets/issues/294 | 643,181,179 | MDU6SXNzdWU2NDMxODExNzk= | 294 | Cannot load arxiv dataset on MacOS? | {
"avatar_url": "https://avatars.githubusercontent.com/u/8917831?v=4",
"events_url": "https://api.github.com/users/JohnGiorgi/events{/privacy}",
"followers_url": "https://api.github.com/users/JohnGiorgi/followers",
"following_url": "https://api.github.com/users/JohnGiorgi/following{/other_user}",
"gists_url": "https://api.github.com/users/JohnGiorgi/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/JohnGiorgi",
"id": 8917831,
"login": "JohnGiorgi",
"node_id": "MDQ6VXNlcjg5MTc4MzE=",
"organizations_url": "https://api.github.com/users/JohnGiorgi/orgs",
"received_events_url": "https://api.github.com/users/JohnGiorgi/received_events",
"repos_url": "https://api.github.com/users/JohnGiorgi/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/JohnGiorgi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/JohnGiorgi/subscriptions",
"type": "User",
"url": "https://api.github.com/users/JohnGiorgi"
} | [
{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
}
] | closed | false | null | [] | null | 4 | 2020-06-22T15:46:55Z | 2020-06-30T15:25:10Z | 2020-06-30T15:25:10Z | CONTRIBUTOR | null | null | null | I am having trouble loading the `"arxiv"` config from the `"scientific_papers"` dataset on MacOS. When I try loading the dataset with:
```python
arxiv = nlp.load_dataset("scientific_papers", "arxiv")
```
I get the following stack trace:
```bash
JSONDecodeError Traceback (most recent call last)
<ipython-input-2-8e00c55d5a59> in <module>
----> 1 arxiv = nlp.load_dataset("scientific_papers", "arxiv")
~/miniconda3/envs/t2t/lib/python3.7/site-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
522 download_mode=download_mode,
523 ignore_verifications=ignore_verifications,
--> 524 save_infos=save_infos,
525 )
526
~/miniconda3/envs/t2t/lib/python3.7/site-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
430 verify_infos = not save_infos and not ignore_verifications
431 self._download_and_prepare(
--> 432 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
433 )
434 # Sync info
~/miniconda3/envs/t2t/lib/python3.7/site-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
481 try:
482 # Prepare split will record examples associated to the split
--> 483 self._prepare_split(split_generator, **prepare_split_kwargs)
484 except OSError:
485 raise OSError("Cannot find data file. " + (self.manual_download_instructions or ""))
~/miniconda3/envs/t2t/lib/python3.7/site-packages/nlp/builder.py in _prepare_split(self, split_generator)
662
663 generator = self._generate_examples(**split_generator.gen_kwargs)
--> 664 for key, record in utils.tqdm(generator, unit=" examples", total=split_info.num_examples, leave=False):
665 example = self.info.features.encode_example(record)
666 writer.write(example)
~/miniconda3/envs/t2t/lib/python3.7/site-packages/tqdm/std.py in __iter__(self)
1106 fp_write=getattr(self.fp, 'write', sys.stderr.write))
1107
-> 1108 for obj in iterable:
1109 yield obj
1110 # Update and possibly print the progressbar.
~/miniconda3/envs/t2t/lib/python3.7/site-packages/nlp/datasets/scientific_papers/107a416c0e1958cb846f5934b5aae292f7884a5b27e86af3f3ef1a093e058bbc/scientific_papers.py in _generate_examples(self, path)
114 # "section_names": list[str], list of section names.
115 # "sections": list[list[str]], list of sections (list of paragraphs)
--> 116 d = json.loads(line)
117 summary = "\n".join(d["abstract_text"])
118 # In original paper, <S> and </S> are not used in vocab during training
~/miniconda3/envs/t2t/lib/python3.7/json/__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
346 parse_int is None and parse_float is None and
347 parse_constant is None and object_pairs_hook is None and not kw):
--> 348 return _default_decoder.decode(s)
349 if cls is None:
350 cls = JSONDecoder
~/miniconda3/envs/t2t/lib/python3.7/json/decoder.py in decode(self, s, _w)
335
336 """
--> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
338 end = _w(s, end).end()
339 if end != len(s):
~/miniconda3/envs/t2t/lib/python3.7/json/decoder.py in raw_decode(self, s, idx)
351 """
352 try:
--> 353 obj, end = self.scan_once(s, idx)
354 except StopIteration as err:
355 raise JSONDecodeError("Expecting value", s, err.value) from None
JSONDecodeError: Unterminated string starting at: line 1 column 46983 (char 46982)
163502 examples [02:10, 2710.68 examples/s]
```
I am not sure how to trace back to the specific JSON file that has the "Unterminated string". Also, I do not get this error on colab so I suspect it may be MacOS specific. Copy pasting the relevant lines from `transformers-cli env` below:
- Platform: Darwin-19.5.0-x86_64-i386-64bit
- Python version: 3.7.5
- PyTorch version (GPU?): 1.5.0 (False)
- Tensorflow version (GPU?): 2.2.0 (False)
Any ideas? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/294/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/294/timeline | null | completed | false | [
"I couldn't replicate this issue on my macbook :/\r\nCould you try to play with different encodings in `with open(path, encoding=...) as f` in scientific_papers.py:L108 ?",
"I was able to track down the file causing the problem by adding the following to `scientific_papers.py` (starting at line 116):\r\n\r\n```py... |
https://api.github.com/repos/huggingface/datasets/issues/293 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/293/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/293/comments | https://api.github.com/repos/huggingface/datasets/issues/293/events | https://github.com/huggingface/datasets/pull/293 | 642,942,182 | MDExOlB1bGxSZXF1ZXN0NDM3ODM1ODI4 | 293 | Don't test community datasets | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-22T10:15:33Z | 2020-06-22T11:07:00Z | 2020-06-22T11:06:59Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/293.diff",
"html_url": "https://github.com/huggingface/datasets/pull/293",
"merged_at": "2020-06-22T11:06:59Z",
"patch_url": "https://github.com/huggingface/datasets/pull/293.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/293"
} | This PR disables testing for community datasets on aws.
It should fix the CI that is currently failing. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/293/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/293/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/292/comments | https://api.github.com/repos/huggingface/datasets/issues/292/events | https://github.com/huggingface/datasets/pull/292 | 642,897,797 | MDExOlB1bGxSZXF1ZXN0NDM3Nzk4NTM2 | 292 | Update metadata for x_stance dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/5830820?v=4",
"events_url": "https://api.github.com/users/jvamvas/events{/privacy}",
"followers_url": "https://api.github.com/users/jvamvas/followers",
"following_url": "https://api.github.com/users/jvamvas/following{/other_user}",
"gists_url": "https://api.github.com/users/jvamvas/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jvamvas",
"id": 5830820,
"login": "jvamvas",
"node_id": "MDQ6VXNlcjU4MzA4MjA=",
"organizations_url": "https://api.github.com/users/jvamvas/orgs",
"received_events_url": "https://api.github.com/users/jvamvas/received_events",
"repos_url": "https://api.github.com/users/jvamvas/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jvamvas/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jvamvas/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jvamvas"
} | [] | closed | false | null | [] | null | 3 | 2020-06-22T09:13:26Z | 2020-06-23T08:07:24Z | 2020-06-23T08:07:24Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/292.diff",
"html_url": "https://github.com/huggingface/datasets/pull/292",
"merged_at": "2020-06-23T08:07:24Z",
"patch_url": "https://github.com/huggingface/datasets/pull/292.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/292"
} | Thank you for featuring the x_stance dataset in your library. This PR updates some metadata:
- Citation: Replace preprint with proceedings
- URL: Use a URL with long-term availability
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/292/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/292/timeline | null | null | true | [
"Great! Thanks @jvamvas for these updates.\r\n",
"I have fixed a warning. The remaining test failure is due to an unrelated dataset.",
"We just fixed the other dataset on master. Could you rebase from master and push to rerun the CI ?"
] |
https://api.github.com/repos/huggingface/datasets/issues/291 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/291/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/291/comments | https://api.github.com/repos/huggingface/datasets/issues/291/events | https://github.com/huggingface/datasets/pull/291 | 642,688,450 | MDExOlB1bGxSZXF1ZXN0NDM3NjM1NjMy | 291 | break statement not required | {
"avatar_url": "https://avatars.githubusercontent.com/u/12967587?v=4",
"events_url": "https://api.github.com/users/mayurnewase/events{/privacy}",
"followers_url": "https://api.github.com/users/mayurnewase/followers",
"following_url": "https://api.github.com/users/mayurnewase/following{/other_user}",
"gists_url": "https://api.github.com/users/mayurnewase/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mayurnewase",
"id": 12967587,
"login": "mayurnewase",
"node_id": "MDQ6VXNlcjEyOTY3NTg3",
"organizations_url": "https://api.github.com/users/mayurnewase/orgs",
"received_events_url": "https://api.github.com/users/mayurnewase/received_events",
"repos_url": "https://api.github.com/users/mayurnewase/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mayurnewase/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mayurnewase/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mayurnewase"
} | [] | closed | false | null | [] | null | 3 | 2020-06-22T01:40:55Z | 2020-06-23T17:57:58Z | 2020-06-23T09:37:02Z | NONE | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/291.diff",
"html_url": "https://github.com/huggingface/datasets/pull/291",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/291.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/291"
} | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/291/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/291/timeline | null | null | true | [
"I guess,test failing due to connection error?",
"We just fixed the other dataset on master. Could you rebase from master and push to rerun the CI ?",
"If I'm not wrong this function returns None if no main class was found.\r\nI think it makes things less clear not to have a return at the end of the function.\r... | |
https://api.github.com/repos/huggingface/datasets/issues/290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/290/comments | https://api.github.com/repos/huggingface/datasets/issues/290/events | https://github.com/huggingface/datasets/issues/290 | 641,978,286 | MDU6SXNzdWU2NDE5NzgyODY= | 290 | ConnectionError - Eli5 dataset download | {
"avatar_url": "https://avatars.githubusercontent.com/u/8490096?v=4",
"events_url": "https://api.github.com/users/JovanNj/events{/privacy}",
"followers_url": "https://api.github.com/users/JovanNj/followers",
"following_url": "https://api.github.com/users/JovanNj/following{/other_user}",
"gists_url": "https://api.github.com/users/JovanNj/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/JovanNj",
"id": 8490096,
"login": "JovanNj",
"node_id": "MDQ6VXNlcjg0OTAwOTY=",
"organizations_url": "https://api.github.com/users/JovanNj/orgs",
"received_events_url": "https://api.github.com/users/JovanNj/received_events",
"repos_url": "https://api.github.com/users/JovanNj/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/JovanNj/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/JovanNj/subscriptions",
"type": "User",
"url": "https://api.github.com/users/JovanNj"
} | [] | closed | false | null | [] | null | 2 | 2020-06-19T13:40:33Z | 2020-06-20T13:22:24Z | 2020-06-20T13:22:24Z | NONE | null | null | null | Hi, I have a problem with downloading Eli5 dataset. When typing `nlp.load_dataset('eli5')`, I get ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/eli5/LFQA_reddit/1.0.0/explain_like_im_five-train_eli5.arrow
I would appreciate if you could help me with this issue. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/290/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/290/timeline | null | completed | false | [
"It should ne fixed now, thanks for reporting this one :)\r\nIt was an issue on our google storage.\r\n\r\nLet me now if you're still facing this issue.",
"It works now, thanks for prompt help!"
] |
https://api.github.com/repos/huggingface/datasets/issues/289 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/289/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/289/comments | https://api.github.com/repos/huggingface/datasets/issues/289/events | https://github.com/huggingface/datasets/pull/289 | 641,934,194 | MDExOlB1bGxSZXF1ZXN0NDM3MDc0MTM3 | 289 | update xsum | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [] | closed | false | null | [] | null | 3 | 2020-06-19T12:28:32Z | 2020-06-22T13:27:26Z | 2020-06-22T07:20:07Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/289.diff",
"html_url": "https://github.com/huggingface/datasets/pull/289",
"merged_at": "2020-06-22T07:20:07Z",
"patch_url": "https://github.com/huggingface/datasets/pull/289.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/289"
} | This PR makes the following update to the xsum dataset:
- Manual download is not required anymore
- dataset can be loaded as follow: `nlp.load_dataset('xsum')`
**Important**
Instead of using on outdated url to download the data: "https://raw.githubusercontent.com/EdinburghNLP/XSum/master/XSum-Dataset/XSum-TRAINING-DEV-TEST-SPLIT-90-5-5.json"
a more up-to-date url stored here: https://s3.amazonaws.com/datasets.huggingface.co/summarization/xsum.tar.gz is used
, so that the user does not need to manually download the data anymore.
There might be slight breaking changes here for xsum. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/289/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/289/timeline | null | null | true | [
"Looks cool!\r\n@mariamabarham can you add a detailed description here what exactly is changed and how the user can load xsum now?",
"And a rebase should solve the conflicts",
"This is a super useful PR :-) @sshleifer - maybe you can take a look at the updated version of xsum if you can use it for your use case... |
https://api.github.com/repos/huggingface/datasets/issues/288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/288/comments | https://api.github.com/repos/huggingface/datasets/issues/288/events | https://github.com/huggingface/datasets/issues/288 | 641,888,610 | MDU6SXNzdWU2NDE4ODg2MTA= | 288 | Error at the first example in README: AttributeError: module 'dill' has no attribute '_dill' | {
"avatar_url": "https://avatars.githubusercontent.com/u/14964542?v=4",
"events_url": "https://api.github.com/users/wutong8023/events{/privacy}",
"followers_url": "https://api.github.com/users/wutong8023/followers",
"following_url": "https://api.github.com/users/wutong8023/following{/other_user}",
"gists_url": "https://api.github.com/users/wutong8023/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/wutong8023",
"id": 14964542,
"login": "wutong8023",
"node_id": "MDQ6VXNlcjE0OTY0NTQy",
"organizations_url": "https://api.github.com/users/wutong8023/orgs",
"received_events_url": "https://api.github.com/users/wutong8023/received_events",
"repos_url": "https://api.github.com/users/wutong8023/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/wutong8023/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/wutong8023/subscriptions",
"type": "User",
"url": "https://api.github.com/users/wutong8023"
} | [] | closed | false | null | [] | null | 5 | 2020-06-19T11:01:22Z | 2020-06-21T09:05:11Z | 2020-06-21T09:05:11Z | NONE | null | null | null | /Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:469: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:470: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:471: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:472: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:473: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:476: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/Users/parasol_tree/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, **kwds)
/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "/Users/parasol_tree/Resource/019 - Github/AcademicEnglishToolkit /test.py", line 7, in <module>
import nlp
File "/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/nlp/__init__.py", line 27, in <module>
from .arrow_dataset import Dataset
File "/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/nlp/arrow_dataset.py", line 31, in <module>
from nlp.utils.py_utils import dumps
File "/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/nlp/utils/__init__.py", line 20, in <module>
from .download_manager import DownloadManager, GenerateMode
File "/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/nlp/utils/download_manager.py", line 25, in <module>
from .py_utils import flatten_nested, map_nested, size_str
File "/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/nlp/utils/py_utils.py", line 244, in <module>
class Pickler(dill.Pickler):
File "/Users/parasol_tree/anaconda3/lib/python3.6/site-packages/nlp/utils/py_utils.py", line 247, in Pickler
dispatch = dill._dill.MetaCatchingDict(dill.Pickler.dispatch.copy())
AttributeError: module 'dill' has no attribute '_dill' | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/288/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/288/timeline | null | completed | false | [
"It looks like the bug comes from `dill`. Which version of `dill` are you using ?",
"Thank you. It is version 0.2.6, which version is better?",
"0.2.6 is three years old now, maybe try a more recent one, e.g. the current 0.3.2 if you can?",
"Thanks guys! I upgraded dill and it works.",
"Awesome"
] |
https://api.github.com/repos/huggingface/datasets/issues/287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/287/comments | https://api.github.com/repos/huggingface/datasets/issues/287/events | https://github.com/huggingface/datasets/pull/287 | 641,800,227 | MDExOlB1bGxSZXF1ZXN0NDM2OTY0NTg0 | 287 | fix squad_v2 metric | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-19T08:24:46Z | 2020-06-19T08:33:43Z | 2020-06-19T08:33:41Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/287.diff",
"html_url": "https://github.com/huggingface/datasets/pull/287",
"merged_at": "2020-06-19T08:33:41Z",
"patch_url": "https://github.com/huggingface/datasets/pull/287.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/287"
} | Fix #280
The imports were wrong | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/287/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/287/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/286/comments | https://api.github.com/repos/huggingface/datasets/issues/286/events | https://github.com/huggingface/datasets/pull/286 | 641,585,758 | MDExOlB1bGxSZXF1ZXN0NDM2NzkzMjI4 | 286 | Add ANLI dataset. | {
"avatar_url": "https://avatars.githubusercontent.com/u/11016329?v=4",
"events_url": "https://api.github.com/users/easonnie/events{/privacy}",
"followers_url": "https://api.github.com/users/easonnie/followers",
"following_url": "https://api.github.com/users/easonnie/following{/other_user}",
"gists_url": "https://api.github.com/users/easonnie/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/easonnie",
"id": 11016329,
"login": "easonnie",
"node_id": "MDQ6VXNlcjExMDE2MzI5",
"organizations_url": "https://api.github.com/users/easonnie/orgs",
"received_events_url": "https://api.github.com/users/easonnie/received_events",
"repos_url": "https://api.github.com/users/easonnie/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/easonnie/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/easonnie/subscriptions",
"type": "User",
"url": "https://api.github.com/users/easonnie"
} | [] | closed | false | null | [] | null | 1 | 2020-06-18T22:27:30Z | 2020-06-22T12:23:27Z | 2020-06-22T12:23:27Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/286.diff",
"html_url": "https://github.com/huggingface/datasets/pull/286",
"merged_at": "2020-06-22T12:23:26Z",
"patch_url": "https://github.com/huggingface/datasets/pull/286.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/286"
} | I completed all the steps in https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset and push the code for ANLI. Please let me know if there are any errors. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/286/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/286/timeline | null | null | true | [
"Awesome!! Thanks @easonnie.\r\nLet's wait for additional reviews maybe from @lhoestq @patrickvonplaten @jplu"
] |
https://api.github.com/repos/huggingface/datasets/issues/285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/285/comments | https://api.github.com/repos/huggingface/datasets/issues/285/events | https://github.com/huggingface/datasets/pull/285 | 641,360,702 | MDExOlB1bGxSZXF1ZXN0NDM2NjAyMjk4 | 285 | Consistent formatting of citations | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [] | closed | false | null | [] | null | 1 | 2020-06-18T16:25:23Z | 2020-06-22T08:09:25Z | 2020-06-22T08:09:24Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/285.diff",
"html_url": "https://github.com/huggingface/datasets/pull/285",
"merged_at": "2020-06-22T08:09:23Z",
"patch_url": "https://github.com/huggingface/datasets/pull/285.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/285"
} | #283 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/285/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/285/timeline | null | null | true | [
"Circle CI shuold be green :-) "
] |
https://api.github.com/repos/huggingface/datasets/issues/284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/284/comments | https://api.github.com/repos/huggingface/datasets/issues/284/events | https://github.com/huggingface/datasets/pull/284 | 641,337,217 | MDExOlB1bGxSZXF1ZXN0NDM2NTgxODQ2 | 284 | Fix manual download instructions | {
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patrickvonplaten",
"id": 23423619,
"login": "patrickvonplaten",
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patrickvonplaten"
} | [] | closed | false | null | [] | null | 5 | 2020-06-18T15:59:57Z | 2020-06-19T08:24:21Z | 2020-06-19T08:24:19Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/284.diff",
"html_url": "https://github.com/huggingface/datasets/pull/284",
"merged_at": "2020-06-19T08:24:19Z",
"patch_url": "https://github.com/huggingface/datasets/pull/284.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/284"
} | This PR replaces the static `DatasetBulider` variable `MANUAL_DOWNLOAD_INSTRUCTIONS` by a property function `manual_download_instructions()`.
Some datasets like XTREME and all WMT need the manual data dir only for a small fraction of the possible configs.
After some brainstorming with @mariamabarham and @lhoestq, we came to the conclusion that having a property function `manual_download_instructions()` gives us more flexibility to decide on a per config basis in the dataset builder if manual download instructions are needed.
Also this PR should unblock solves a bug with `wmt16 - ro-en`
@sshleifer from this branch you should be able to succesfully run
```python
import nlp
ds = nlp.load_dataset('./datasets/wmt16', 'ro-en')
```
and once this PR is merged S3 should be synched so that
```python
import nlp
ds = nlp.load_dataset("wmt16", "ro-en")
```
works as well.
**Important**: Since `MANUAL_DOWNLOAD_INSTRUCTIONS` was not really exposed to the user, this PR should not be a problem regarding backward compatibility. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/284/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/284/timeline | null | null | true | [
"Verified that this works, thanks!",
"But I get\r\n```python\r\nConnectionError: Couldn't reach https://s3.amazonaws.com/datasets.huggingface.co/nlp/datasets/./datasets/wmt16/wmt16.py\r\n```\r\nWhen I try from jupyter on brutasse or my mac. (the jupyter server is run from transformers).\r\n\r\n\r\nBoth machines c... |
https://api.github.com/repos/huggingface/datasets/issues/283 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/283/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/283/comments | https://api.github.com/repos/huggingface/datasets/issues/283/events | https://github.com/huggingface/datasets/issues/283 | 641,270,439 | MDU6SXNzdWU2NDEyNzA0Mzk= | 283 | Consistent formatting of citations | {
"avatar_url": "https://avatars.githubusercontent.com/u/35882?v=4",
"events_url": "https://api.github.com/users/srush/events{/privacy}",
"followers_url": "https://api.github.com/users/srush/followers",
"following_url": "https://api.github.com/users/srush/following{/other_user}",
"gists_url": "https://api.github.com/users/srush/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/srush",
"id": 35882,
"login": "srush",
"node_id": "MDQ6VXNlcjM1ODgy",
"organizations_url": "https://api.github.com/users/srush/orgs",
"received_events_url": "https://api.github.com/users/srush/received_events",
"repos_url": "https://api.github.com/users/srush/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/srush/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/srush/subscriptions",
"type": "User",
"url": "https://api.github.com/users/srush"
} | [] | closed | false | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [
{
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_... | null | 0 | 2020-06-18T14:48:45Z | 2020-06-22T17:30:46Z | 2020-06-22T17:30:46Z | CONTRIBUTOR | null | null | null | The citations are all of a different format, some have "```" and have text inside, others are proper bibtex.
Can we make it so that they all are proper citations, i.e. parse by the bibtex spec:
https://bibtexparser.readthedocs.io/en/master/ | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/283/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/283/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/282/comments | https://api.github.com/repos/huggingface/datasets/issues/282/events | https://github.com/huggingface/datasets/pull/282 | 641,217,759 | MDExOlB1bGxSZXF1ZXN0NDM2NDgxNzMy | 282 | Update dataset_info from gcs | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-18T13:41:15Z | 2020-06-18T16:24:52Z | 2020-06-18T16:24:51Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/282.diff",
"html_url": "https://github.com/huggingface/datasets/pull/282",
"merged_at": "2020-06-18T16:24:51Z",
"patch_url": "https://github.com/huggingface/datasets/pull/282.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/282"
} | Some datasets are hosted on gcs (wikipedia for example). In this PR I make sure that, when a user loads such datasets, the file_instructions are built using the dataset_info.json from gcs and not from the info extracted from the local `dataset_infos.json` (the one that contain the info for each config). Indeed local files may end up outdated.
Furthermore, to avoid outdated dataset_infos.json, I now make sure that each time you run `load_dataset` it also tries to update the file locally.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/282/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/282/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/281 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/281/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/281/comments | https://api.github.com/repos/huggingface/datasets/issues/281/events | https://github.com/huggingface/datasets/issues/281 | 641,067,856 | MDU6SXNzdWU2NDEwNjc4NTY= | 281 | Private/sensitive data | {
"avatar_url": "https://avatars.githubusercontent.com/u/6368040?v=4",
"events_url": "https://api.github.com/users/MFreidank/events{/privacy}",
"followers_url": "https://api.github.com/users/MFreidank/followers",
"following_url": "https://api.github.com/users/MFreidank/following{/other_user}",
"gists_url": "https://api.github.com/users/MFreidank/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/MFreidank",
"id": 6368040,
"login": "MFreidank",
"node_id": "MDQ6VXNlcjYzNjgwNDA=",
"organizations_url": "https://api.github.com/users/MFreidank/orgs",
"received_events_url": "https://api.github.com/users/MFreidank/received_events",
"repos_url": "https://api.github.com/users/MFreidank/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/MFreidank/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/MFreidank/subscriptions",
"type": "User",
"url": "https://api.github.com/users/MFreidank"
} | [] | closed | false | null | [] | null | 3 | 2020-06-18T09:47:27Z | 2020-06-20T13:15:12Z | 2020-06-20T13:15:12Z | CONTRIBUTOR | null | null | null | Hi all,
Thanks for this fantastic library, it makes it very easy to do prototyping for NLP projects interchangeably between TF/Pytorch.
Unfortunately, there is data that cannot easily be shared publicly as it may contain sensitive information.
Is there support/a plan to support such data with NLP, e.g. by reading it from local sources?
Use case flow could look like this: use NLP to prototype an approach on similar, public data and apply the resulting prototype on sensitive/private data without the need to rethink data processing pipelines.
Many thanks for your responses ahead of time and kind regards,
MFreidank | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/281/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/281/timeline | null | completed | false | [
"Hi @MFreidank, you should already be able to load a dataset from local sources, indeed. (ping @lhoestq and @jplu)\r\n\r\nWe're also thinking about the ability to host private datasets on a hosted bucket with permission management, but that's further down the road.",
"Hi @MFreidank, it is possible to load a datas... |
https://api.github.com/repos/huggingface/datasets/issues/280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/280/comments | https://api.github.com/repos/huggingface/datasets/issues/280/events | https://github.com/huggingface/datasets/issues/280 | 640,677,615 | MDU6SXNzdWU2NDA2Nzc2MTU= | 280 | Error with SquadV2 Metrics | {
"avatar_url": "https://avatars.githubusercontent.com/u/32203792?v=4",
"events_url": "https://api.github.com/users/avinregmi/events{/privacy}",
"followers_url": "https://api.github.com/users/avinregmi/followers",
"following_url": "https://api.github.com/users/avinregmi/following{/other_user}",
"gists_url": "https://api.github.com/users/avinregmi/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/avinregmi",
"id": 32203792,
"login": "avinregmi",
"node_id": "MDQ6VXNlcjMyMjAzNzky",
"organizations_url": "https://api.github.com/users/avinregmi/orgs",
"received_events_url": "https://api.github.com/users/avinregmi/received_events",
"repos_url": "https://api.github.com/users/avinregmi/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/avinregmi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/avinregmi/subscriptions",
"type": "User",
"url": "https://api.github.com/users/avinregmi"
} | [] | closed | false | null | [] | null | 0 | 2020-06-17T19:10:54Z | 2020-06-19T08:33:41Z | 2020-06-19T08:33:41Z | NONE | null | null | null | I can't seem to import squad v2 metrics.
**squad_metric = nlp.load_metric('squad_v2')**
**This throws me an error.:**
```
ImportError Traceback (most recent call last)
<ipython-input-8-170b6a170555> in <module>
----> 1 squad_metric = nlp.load_metric('squad_v2')
~/env/lib64/python3.6/site-packages/nlp/load.py in load_metric(path, name, process_id, num_process, data_dir, experiment_id, in_memory, download_config, **metric_init_kwargs)
426 """
427 module_path = prepare_module(path, download_config=download_config, dataset=False)
--> 428 metric_cls = import_main_class(module_path, dataset=False)
429 metric = metric_cls(
430 name=name,
~/env/lib64/python3.6/site-packages/nlp/load.py in import_main_class(module_path, dataset)
55 """
56 importlib.invalidate_caches()
---> 57 module = importlib.import_module(module_path)
58
59 if dataset:
/usr/lib64/python3.6/importlib/__init__.py in import_module(name, package)
124 break
125 level += 1
--> 126 return _bootstrap._gcd_import(name[level:], package, level)
127
128
/usr/lib64/python3.6/importlib/_bootstrap.py in _gcd_import(name, package, level)
/usr/lib64/python3.6/importlib/_bootstrap.py in _find_and_load(name, import_)
/usr/lib64/python3.6/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_)
/usr/lib64/python3.6/importlib/_bootstrap.py in _load_unlocked(spec)
/usr/lib64/python3.6/importlib/_bootstrap_external.py in exec_module(self, module)
/usr/lib64/python3.6/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds)
~/env/lib64/python3.6/site-packages/nlp/metrics/squad_v2/a15e787c76889174874386d3def75321f0284c11730d2a57e28fe1352c9b5c7a/squad_v2.py in <module>
16
17 import nlp
---> 18 from .evaluate import evaluate
19
20 _CITATION = """\
ImportError: cannot import name 'evaluate'
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/280/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/280/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/279/comments | https://api.github.com/repos/huggingface/datasets/issues/279/events | https://github.com/huggingface/datasets/issues/279 | 640,611,692 | MDU6SXNzdWU2NDA2MTE2OTI= | 279 | Dataset Preprocessing Cache with .map() function not working as expected | {
"avatar_url": "https://avatars.githubusercontent.com/u/8027676?v=4",
"events_url": "https://api.github.com/users/sarahwie/events{/privacy}",
"followers_url": "https://api.github.com/users/sarahwie/followers",
"following_url": "https://api.github.com/users/sarahwie/following{/other_user}",
"gists_url": "https://api.github.com/users/sarahwie/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/sarahwie",
"id": 8027676,
"login": "sarahwie",
"node_id": "MDQ6VXNlcjgwMjc2NzY=",
"organizations_url": "https://api.github.com/users/sarahwie/orgs",
"received_events_url": "https://api.github.com/users/sarahwie/received_events",
"repos_url": "https://api.github.com/users/sarahwie/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/sarahwie/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sarahwie/subscriptions",
"type": "User",
"url": "https://api.github.com/users/sarahwie"
} | [] | closed | false | null | [] | null | 5 | 2020-06-17T17:17:21Z | 2021-07-06T21:43:28Z | 2021-04-18T23:43:49Z | NONE | null | null | null | I've been having issues with reproducibility when loading and processing datasets with the `.map` function. I was only able to resolve them by clearing all of the cache files on my system.
Is there a way to disable using the cache when processing a dataset? As I make minor processing changes on the same dataset, I want to be able to be certain the data is being re-processed rather than loaded from a cached file.
Could you also help me understand a bit more about how the caching functionality is used for pre-processing? E.g. how is it determined when to load from a cache vs. reprocess.
I was particularly having an issue where the correct dataset splits were loaded, but as soon as I applied the `.map()` function to each split independently, they somehow all exited this process having been converted to the test set.
Thanks! | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/279/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/279/timeline | null | completed | false | [
"When you're processing a dataset with `.map`, it checks whether it has already done this computation using a hash based on the function and the input (using some fancy serialization with `dill`). If you found that it doesn't work as expected in some cases, let us know !\r\n\r\nGiven that, you can still force to re... |
https://api.github.com/repos/huggingface/datasets/issues/278 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/278/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/278/comments | https://api.github.com/repos/huggingface/datasets/issues/278/events | https://github.com/huggingface/datasets/issues/278 | 640,518,917 | MDU6SXNzdWU2NDA1MTg5MTc= | 278 | MemoryError when loading German Wikipedia | {
"avatar_url": "https://avatars.githubusercontent.com/u/4698028?v=4",
"events_url": "https://api.github.com/users/gregburman/events{/privacy}",
"followers_url": "https://api.github.com/users/gregburman/followers",
"following_url": "https://api.github.com/users/gregburman/following{/other_user}",
"gists_url": "https://api.github.com/users/gregburman/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/gregburman",
"id": 4698028,
"login": "gregburman",
"node_id": "MDQ6VXNlcjQ2OTgwMjg=",
"organizations_url": "https://api.github.com/users/gregburman/orgs",
"received_events_url": "https://api.github.com/users/gregburman/received_events",
"repos_url": "https://api.github.com/users/gregburman/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/gregburman/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gregburman/subscriptions",
"type": "User",
"url": "https://api.github.com/users/gregburman"
} | [] | closed | false | null | [] | null | 7 | 2020-06-17T15:06:21Z | 2020-06-19T12:53:02Z | 2020-06-19T12:53:02Z | NONE | null | null | null | Hi, first off let me say thank you for all the awesome work you're doing at Hugging Face across all your projects (NLP, Transformers, Tokenizers) - they're all amazing contributions to us working with NLP models :)
I'm trying to download the German Wikipedia dataset as follows:
```
wiki = nlp.load_dataset("wikipedia", "20200501.de", split="train")
```
However, when I do so, I get the following error:
```
Downloading and preparing dataset wikipedia/20200501.de (download: Unknown size, generated: Unknown size, total: Unknown size) to /home/ubuntu/.cache/huggingface/datasets/wikipedia/20200501.de/1.0.0...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/ubuntu/anaconda3/envs/albert/lib/python3.7/site-packages/nlp/load.py", line 520, in load_dataset
save_infos=save_infos,
File "/home/ubuntu/anaconda3/envs/albert/lib/python3.7/site-packages/nlp/builder.py", line 433, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/home/ubuntu/anaconda3/envs/albert/lib/python3.7/site-packages/nlp/builder.py", line 824, in _download_and_prepare
"\n\t`{}`".format(usage_example)
nlp.builder.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 to run on large-scale data processing tools like Dataflow, Spark, etc. More information about Apache Beam runners at https://beam.apache.org/documentation/runners/capability-matrix/
If you really want to run it locally because you feel like the Dataset is small enough, you can use the local beam runner called `DirectRunner` (you may run out of memory).
Example of usage:
`load_dataset('wikipedia', '20200501.de', beam_runner='DirectRunner')`
```
So, following on from the example usage at the bottom, I tried specifying `beam_runner='DirectRunner`, however when I do this after about 20 min after the data has all downloaded, I get a `MemoryError` as warned.
This isn't an issue for the English or French Wikipedia datasets (I've tried both), as neither seem to require that `beam_runner` be specified. Can you please clarify why this is an issue for the German dataset?
My nlp version is 0.2.1.
Thank you! | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/278/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/278/timeline | null | completed | false | [
"Hi !\r\n\r\nAs you noticed, \"big\" datasets like Wikipedia require apache beam to be processed.\r\nHowever users usually don't have an apache beam runtime available (spark, dataflow, etc.) so our goal for this library is to also make available processed versions of these datasets, so that users can just download ... |
https://api.github.com/repos/huggingface/datasets/issues/277 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/277/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/277/comments | https://api.github.com/repos/huggingface/datasets/issues/277/events | https://github.com/huggingface/datasets/issues/277 | 640,163,053 | MDU6SXNzdWU2NDAxNjMwNTM= | 277 | Empty samples in glue/qqp | {
"avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4",
"events_url": "https://api.github.com/users/richarddwang/events{/privacy}",
"followers_url": "https://api.github.com/users/richarddwang/followers",
"following_url": "https://api.github.com/users/richarddwang/following{/other_user}",
"gists_url": "https://api.github.com/users/richarddwang/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/richarddwang",
"id": 17963619,
"login": "richarddwang",
"node_id": "MDQ6VXNlcjE3OTYzNjE5",
"organizations_url": "https://api.github.com/users/richarddwang/orgs",
"received_events_url": "https://api.github.com/users/richarddwang/received_events",
"repos_url": "https://api.github.com/users/richarddwang/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/richarddwang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/richarddwang/subscriptions",
"type": "User",
"url": "https://api.github.com/users/richarddwang"
} | [] | closed | false | null | [] | null | 2 | 2020-06-17T05:54:52Z | 2020-06-21T00:21:45Z | 2020-06-21T00:21:45Z | CONTRIBUTOR | null | null | null | ```
qqp = nlp.load_dataset('glue', 'qqp')
print(qqp['train'][310121])
print(qqp['train'][362225])
```
```
{'question1': 'How can I create an Android app?', 'question2': '', 'label': 0, 'idx': 310137}
{'question1': 'How can I develop android app?', 'question2': '', 'label': 0, 'idx': 362246}
```
Notice that question 2 is empty string.
BTW, I have checked and these two are the only naughty ones in all splits of qqp. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/277/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/277/timeline | null | completed | false | [
"We are only wrapping the original dataset.\r\n\r\nMaybe try to ask on the GLUE mailing list or reach out to the original authors?",
"Tanks for the suggestion, I'll try to ask GLUE benchmark.\r\nI'll first close the issue, post the following up here afterwards, and reopen the issue if needed. "
] |
https://api.github.com/repos/huggingface/datasets/issues/276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/276/comments | https://api.github.com/repos/huggingface/datasets/issues/276/events | https://github.com/huggingface/datasets/pull/276 | 639,490,858 | MDExOlB1bGxSZXF1ZXN0NDM1MDY5Nzg5 | 276 | Fix metric compute (original_instructions missing) | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 2 | 2020-06-16T08:52:01Z | 2020-06-18T07:41:45Z | 2020-06-18T07:41:44Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/276.diff",
"html_url": "https://github.com/huggingface/datasets/pull/276",
"merged_at": "2020-06-18T07:41:43Z",
"patch_url": "https://github.com/huggingface/datasets/pull/276.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/276"
} | When loading arrow data we added in cc8d250 a way to specify the instructions that were used to store them with the loaded dataset.
However metrics load data the same way but don't need instructions (we use one single file).
In this PR I just make `original_instructions` optional when reading files to load a `Dataset` object.
This should fix #269 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/276/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/276/timeline | null | null | true | [
"Awesome! This is working now:\r\n\r\n```python\r\nimport nlp \r\nseqeval = nlp.load_metric(\"seqeval\") \r\ny_true = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']] \r\ny_pred = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']] ... |
https://api.github.com/repos/huggingface/datasets/issues/275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/275/comments | https://api.github.com/repos/huggingface/datasets/issues/275/events | https://github.com/huggingface/datasets/issues/275 | 639,439,052 | MDU6SXNzdWU2Mzk0MzkwNTI= | 275 | NonMatchingChecksumError when loading pubmed dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/48441753?v=4",
"events_url": "https://api.github.com/users/DavideStenner/events{/privacy}",
"followers_url": "https://api.github.com/users/DavideStenner/followers",
"following_url": "https://api.github.com/users/DavideStenner/following{/other_user}",
"gists_url": "https://api.github.com/users/DavideStenner/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/DavideStenner",
"id": 48441753,
"login": "DavideStenner",
"node_id": "MDQ6VXNlcjQ4NDQxNzUz",
"organizations_url": "https://api.github.com/users/DavideStenner/orgs",
"received_events_url": "https://api.github.com/users/DavideStenner/received_events",
"repos_url": "https://api.github.com/users/DavideStenner/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/DavideStenner/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/DavideStenner/subscriptions",
"type": "User",
"url": "https://api.github.com/users/DavideStenner"
} | [
{
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
}
] | closed | false | null | [] | null | 1 | 2020-06-16T07:31:51Z | 2020-06-19T07:37:07Z | 2020-06-19T07:37:07Z | NONE | null | null | null | I get this error when i run `nlp.load_dataset('scientific_papers', 'pubmed', split = 'train[:50%]')`.
The error is:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-2-7742dea167d0> in <module>()
----> 1 df = nlp.load_dataset('scientific_papers', 'pubmed', split = 'train[:50%]')
2 df = pd.DataFrame(df)
3 gc.collect()
3 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
431 verify_infos = not save_infos and not ignore_verifications
432 self._download_and_prepare(
--> 433 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
434 )
435 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
468 # Checksums verification
469 if verify_infos:
--> 470 verify_checksums(self.info.download_checksums, dl_manager.get_recorded_sizes_checksums())
471 for split_generator in split_generators:
472 if str(split_generator.split_info.name).lower() == "all":
/usr/local/lib/python3.6/dist-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums)
34 bad_urls = [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
35 if len(bad_urls) > 0:
---> 36 raise NonMatchingChecksumError(str(bad_urls))
37 logger.info("All the checksums matched successfully.")
38
NonMatchingChecksumError: ['https://drive.google.com/uc?id=1b3rmCSIoh6VhD4HKWjI4HOW-cSwcwbeC&export=download', 'https://drive.google.com/uc?id=1lvsqvsFi3W-pE1SqNZI0s8NR9rC1tsja&export=download']
```
I'm currently working on google colab.
That is quite strange because yesterday it was fine.
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/275/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/275/timeline | null | completed | false | [
"For some reason the files are not available for unauthenticated users right now (like the download service of this package). Instead of downloading the right files, it downloads the html of the error.\r\nAccording to the error it should be back again in 24h.\r\n\r\n![image](https://user-images.githubusercontent.co... |
https://api.github.com/repos/huggingface/datasets/issues/274 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/274/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/274/comments | https://api.github.com/repos/huggingface/datasets/issues/274/events | https://github.com/huggingface/datasets/issues/274 | 639,156,625 | MDU6SXNzdWU2MzkxNTY2MjU= | 274 | PG-19 | {
"avatar_url": "https://avatars.githubusercontent.com/u/108653?v=4",
"events_url": "https://api.github.com/users/lucidrains/events{/privacy}",
"followers_url": "https://api.github.com/users/lucidrains/followers",
"following_url": "https://api.github.com/users/lucidrains/following{/other_user}",
"gists_url": "https://api.github.com/users/lucidrains/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lucidrains",
"id": 108653,
"login": "lucidrains",
"node_id": "MDQ6VXNlcjEwODY1Mw==",
"organizations_url": "https://api.github.com/users/lucidrains/orgs",
"received_events_url": "https://api.github.com/users/lucidrains/received_events",
"repos_url": "https://api.github.com/users/lucidrains/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lucidrains/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lucidrains/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lucidrains"
} | [
{
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
}
] | closed | false | null | [] | null | 4 | 2020-06-15T21:02:26Z | 2020-07-06T15:35:02Z | 2020-07-06T15:35:02Z | CONTRIBUTOR | null | null | null | Hi, and thanks for all your open-sourced work, as always!
I was wondering if you would be open to adding PG-19 to your collection of datasets. https://github.com/deepmind/pg19 It is often used for benchmarking long-range language modeling. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/274/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/274/timeline | null | completed | false | [
"Sounds good! Do you want to give it a try?",
"Ok, I'll see if I can figure it out tomorrow!",
"Got around to this today, and so far so good, I'm able to download and load pg19 locally. However, I think there may be an issue with the dummy data, and testing in general.\r\n\r\nThe problem lies in the fact that e... |
https://api.github.com/repos/huggingface/datasets/issues/273 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/273/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/273/comments | https://api.github.com/repos/huggingface/datasets/issues/273/events | https://github.com/huggingface/datasets/pull/273 | 638,968,054 | MDExOlB1bGxSZXF1ZXN0NDM0NjM0MzU4 | 273 | update cos_e to add cos_e v1.0 | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [] | closed | false | null | [] | null | 0 | 2020-06-15T16:03:22Z | 2020-06-16T08:25:54Z | 2020-06-16T08:25:52Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/273.diff",
"html_url": "https://github.com/huggingface/datasets/pull/273",
"merged_at": "2020-06-16T08:25:52Z",
"patch_url": "https://github.com/huggingface/datasets/pull/273.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/273"
} | This PR updates the cos_e dataset to add v1.0 as requested here #163
@nazneenrajani | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/273/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/273/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/272/comments | https://api.github.com/repos/huggingface/datasets/issues/272/events | https://github.com/huggingface/datasets/pull/272 | 638,307,313 | MDExOlB1bGxSZXF1ZXN0NDM0MTExOTQ3 | 272 | asd | {
"avatar_url": "https://avatars.githubusercontent.com/u/66900970?v=4",
"events_url": "https://api.github.com/users/sn696/events{/privacy}",
"followers_url": "https://api.github.com/users/sn696/followers",
"following_url": "https://api.github.com/users/sn696/following{/other_user}",
"gists_url": "https://api.github.com/users/sn696/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/sn696",
"id": 66900970,
"login": "sn696",
"node_id": "MDQ6VXNlcjY2OTAwOTcw",
"organizations_url": "https://api.github.com/users/sn696/orgs",
"received_events_url": "https://api.github.com/users/sn696/received_events",
"repos_url": "https://api.github.com/users/sn696/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/sn696/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sn696/subscriptions",
"type": "User",
"url": "https://api.github.com/users/sn696"
} | [] | closed | false | null | [] | null | 0 | 2020-06-14T08:20:38Z | 2020-06-14T09:16:41Z | 2020-06-14T09:16:41Z | NONE | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/272.diff",
"html_url": "https://github.com/huggingface/datasets/pull/272",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/272.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/272"
} | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/272/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/272/timeline | null | null | true | [] | |
https://api.github.com/repos/huggingface/datasets/issues/271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/271/comments | https://api.github.com/repos/huggingface/datasets/issues/271/events | https://github.com/huggingface/datasets/pull/271 | 638,135,754 | MDExOlB1bGxSZXF1ZXN0NDMzOTg3NDkw | 271 | Fix allociné dataset configuration | {
"avatar_url": "https://avatars.githubusercontent.com/u/37028092?v=4",
"events_url": "https://api.github.com/users/TheophileBlard/events{/privacy}",
"followers_url": "https://api.github.com/users/TheophileBlard/followers",
"following_url": "https://api.github.com/users/TheophileBlard/following{/other_user}",
"gists_url": "https://api.github.com/users/TheophileBlard/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TheophileBlard",
"id": 37028092,
"login": "TheophileBlard",
"node_id": "MDQ6VXNlcjM3MDI4MDky",
"organizations_url": "https://api.github.com/users/TheophileBlard/orgs",
"received_events_url": "https://api.github.com/users/TheophileBlard/received_events",
"repos_url": "https://api.github.com/users/TheophileBlard/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TheophileBlard/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TheophileBlard/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TheophileBlard"
} | [] | closed | false | null | [] | null | 6 | 2020-06-13T10:12:10Z | 2020-06-18T07:41:21Z | 2020-06-18T07:41:20Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/271.diff",
"html_url": "https://github.com/huggingface/datasets/pull/271",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/271.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/271"
} | This is a patch for #244. According to the [live nlp viewer](url), the Allociné dataset must be loaded with :
```python
dataset = load_dataset('allocine', 'allocine')
```
This is redundant, as there is only one "dataset configuration", and should only be:
```python
dataset = load_dataset('allocine')
```
This is my mistake, because the code for [`allocine.py`](https://github.com/huggingface/nlp/blob/master/datasets/allocine/allocine.py) was inspired by [`imdb.py`](https://github.com/huggingface/nlp/blob/master/datasets/imdb/imdb.py), which also force the user to specify the "dataset configuration" (even if there is only one).
I believe this PR should solve this issue, making the Allociné dataset more convenient to use. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/271/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/271/timeline | null | null | true | [
"Actually when there is only one configuration, then you don't need to specify the configuration in `load_dataset`. You can run:\r\n```python\r\ndataset = load_dataset('allocine')\r\n```\r\nand it works.\r\n\r\nMaybe we should take that into account in the nlp viewer @srush ?",
"@lhoestq Just to understand the ex... |
https://api.github.com/repos/huggingface/datasets/issues/270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/270/comments | https://api.github.com/repos/huggingface/datasets/issues/270/events | https://github.com/huggingface/datasets/issues/270 | 638,121,617 | MDU6SXNzdWU2MzgxMjE2MTc= | 270 | c4 dataset is not viewable in nlpviewer demo | {
"avatar_url": "https://avatars.githubusercontent.com/u/6441313?v=4",
"events_url": "https://api.github.com/users/rajarsheem/events{/privacy}",
"followers_url": "https://api.github.com/users/rajarsheem/followers",
"following_url": "https://api.github.com/users/rajarsheem/following{/other_user}",
"gists_url": "https://api.github.com/users/rajarsheem/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rajarsheem",
"id": 6441313,
"login": "rajarsheem",
"node_id": "MDQ6VXNlcjY0NDEzMTM=",
"organizations_url": "https://api.github.com/users/rajarsheem/orgs",
"received_events_url": "https://api.github.com/users/rajarsheem/received_events",
"repos_url": "https://api.github.com/users/rajarsheem/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rajarsheem/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rajarsheem/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rajarsheem"
} | [
{
"color": "94203D",
"default": false,
"description": "",
"id": 2107841032,
"name": "nlp-viewer",
"node_id": "MDU6TGFiZWwyMTA3ODQxMDMy",
"url": "https://api.github.com/repos/huggingface/datasets/labels/nlp-viewer"
}
] | closed | false | null | [] | null | 1 | 2020-06-13T08:26:16Z | 2020-10-27T15:35:29Z | 2020-10-27T15:35:13Z | NONE | null | null | null | I get the following error when I try to view the c4 dataset in [nlpviewer](https://huggingface.co/nlp/viewer/)
```python
ModuleNotFoundError: No module named 'langdetect'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__dict__)
File "/home/sasha/nlp_viewer/run.py", line 54, in <module>
configs = get_confs(option.id)
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 591, in wrapped_func
return get_or_create_cached_value()
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 575, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/home/sasha/nlp_viewer/run.py", line 48, in get_confs
builder_cls = nlp.load.import_main_class(module_path, dataset=True)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/load.py", line 57, in import_main_class
module = importlib.import_module(module_path)
File "/usr/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/datasets/c4/88bb1b1435edad3fb772325710c4a43327cbf4a23b9030094556e6f01e14ec19/c4.py", line 29, in <module>
from .c4_utils import (
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/datasets/c4/88bb1b1435edad3fb772325710c4a43327cbf4a23b9030094556e6f01e14ec19/c4_utils.py", line 29, in <module>
import langdetect
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/270/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/270/timeline | null | completed | false | [
"C4 is too large to be shown in the viewer"
] |
https://api.github.com/repos/huggingface/datasets/issues/269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/269/comments | https://api.github.com/repos/huggingface/datasets/issues/269/events | https://github.com/huggingface/datasets/issues/269 | 638,106,774 | MDU6SXNzdWU2MzgxMDY3NzQ= | 269 | Error in metric.compute: missing `original_instructions` argument | {
"avatar_url": "https://avatars.githubusercontent.com/u/1668462?v=4",
"events_url": "https://api.github.com/users/zphang/events{/privacy}",
"followers_url": "https://api.github.com/users/zphang/followers",
"following_url": "https://api.github.com/users/zphang/following{/other_user}",
"gists_url": "https://api.github.com/users/zphang/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/zphang",
"id": 1668462,
"login": "zphang",
"node_id": "MDQ6VXNlcjE2Njg0NjI=",
"organizations_url": "https://api.github.com/users/zphang/orgs",
"received_events_url": "https://api.github.com/users/zphang/received_events",
"repos_url": "https://api.github.com/users/zphang/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/zphang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/zphang/subscriptions",
"type": "User",
"url": "https://api.github.com/users/zphang"
} | [
{
"color": "25b21e",
"default": false,
"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
"node_id": "MDU6TGFiZWwyMDY3MzkzOTE0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/metric%20bug"
}
] | closed | false | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [
{
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists... | null | 0 | 2020-06-13T06:26:54Z | 2020-06-18T07:41:44Z | 2020-06-18T07:41:44Z | NONE | null | null | null | I'm running into an error using metrics for computation in the latest master as well as version 0.2.1. Here is a minimal example:
```python
import nlp
rte_metric = nlp.load_metric('glue', name="rte")
rte_metric.compute(
[0, 0, 1, 1],
[0, 1, 0, 1],
)
```
```
181 # Read the predictions and references
182 reader = ArrowReader(path=self.data_dir, info=None)
--> 183 self.data = reader.read_files(node_files)
184
185 # Release all of our locks
TypeError: read_files() missing 1 required positional argument: 'original_instructions'
```
I believe this might have been introduced with cc8d2508b75f7ba0e5438d0686ee02dcec43c7f4, which added the `original_instructions` argument. Elsewhere, an empty-string default is provided--perhaps that could be done here too? | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/269/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/269/timeline | null | completed | false | [] |
https://api.github.com/repos/huggingface/datasets/issues/268 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/268/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/268/comments | https://api.github.com/repos/huggingface/datasets/issues/268/events | https://github.com/huggingface/datasets/pull/268 | 637,848,056 | MDExOlB1bGxSZXF1ZXN0NDMzNzU5NzQ1 | 268 | add Rotten Tomatoes Movie Review sentences sentiment dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/13238952?v=4",
"events_url": "https://api.github.com/users/jxmorris12/events{/privacy}",
"followers_url": "https://api.github.com/users/jxmorris12/followers",
"following_url": "https://api.github.com/users/jxmorris12/following{/other_user}",
"gists_url": "https://api.github.com/users/jxmorris12/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jxmorris12",
"id": 13238952,
"login": "jxmorris12",
"node_id": "MDQ6VXNlcjEzMjM4OTUy",
"organizations_url": "https://api.github.com/users/jxmorris12/orgs",
"received_events_url": "https://api.github.com/users/jxmorris12/received_events",
"repos_url": "https://api.github.com/users/jxmorris12/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jxmorris12/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jxmorris12/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jxmorris12"
} | [] | closed | false | null | [] | null | 1 | 2020-06-12T15:53:59Z | 2020-06-18T07:46:24Z | 2020-06-18T07:46:23Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/268.diff",
"html_url": "https://github.com/huggingface/datasets/pull/268",
"merged_at": "2020-06-18T07:46:23Z",
"patch_url": "https://github.com/huggingface/datasets/pull/268.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/268"
} | Sentence-level movie reviews v1.0 from here: http://www.cs.cornell.edu/people/pabo/movie-review-data/ | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/268/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/268/timeline | null | null | true | [
"@jplu @thomwolf @patrickvonplaten @lhoestq -- How do I request reviewers? Thanks."
] |
https://api.github.com/repos/huggingface/datasets/issues/267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/267/comments | https://api.github.com/repos/huggingface/datasets/issues/267/events | https://github.com/huggingface/datasets/issues/267 | 637,415,545 | MDU6SXNzdWU2Mzc0MTU1NDU= | 267 | How can I load/find WMT en-romanian? | {
"avatar_url": "https://avatars.githubusercontent.com/u/6045025?v=4",
"events_url": "https://api.github.com/users/sshleifer/events{/privacy}",
"followers_url": "https://api.github.com/users/sshleifer/followers",
"following_url": "https://api.github.com/users/sshleifer/following{/other_user}",
"gists_url": "https://api.github.com/users/sshleifer/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/sshleifer",
"id": 6045025,
"login": "sshleifer",
"node_id": "MDQ6VXNlcjYwNDUwMjU=",
"organizations_url": "https://api.github.com/users/sshleifer/orgs",
"received_events_url": "https://api.github.com/users/sshleifer/received_events",
"repos_url": "https://api.github.com/users/sshleifer/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/sshleifer/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sshleifer/subscriptions",
"type": "User",
"url": "https://api.github.com/users/sshleifer"
} | [] | closed | false | {
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patrickvonplaten",
"id": 23423619,
"login": "patrickvonplaten",
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patrickvonplaten"
} | [
{
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/followin... | null | 1 | 2020-06-12T01:09:37Z | 2020-06-19T08:24:19Z | 2020-06-19T08:24:19Z | CONTRIBUTOR | null | null | null | I believe it is from `wmt16`
When I run
```python
wmt = nlp.load_dataset('wmt16')
```
I get:
```python
AssertionError: The dataset wmt16 with config cs-en requires manual data.
Please follow the manual download instructions: Some of the wmt configs here, require a manual download.
Please look into wmt.py to see the exact path (and file name) that has to
be downloaded.
.
Manual data can be loaded with `nlp.load(wmt16, data_dir='<path/to/manual/data>')
```
There is no wmt.py,as the error message suggests, and wmt16.py doesn't have manual download instructions.
Any idea how to do this?
Thanks in advance!
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/267/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/267/timeline | null | completed | false | [
"I will take a look :-) "
] |
https://api.github.com/repos/huggingface/datasets/issues/266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/266/comments | https://api.github.com/repos/huggingface/datasets/issues/266/events | https://github.com/huggingface/datasets/pull/266 | 637,156,392 | MDExOlB1bGxSZXF1ZXN0NDMzMTk1NDgw | 266 | Add sort, shuffle, test_train_split and select methods | {
"avatar_url": "https://avatars.githubusercontent.com/u/7353373?v=4",
"events_url": "https://api.github.com/users/thomwolf/events{/privacy}",
"followers_url": "https://api.github.com/users/thomwolf/followers",
"following_url": "https://api.github.com/users/thomwolf/following{/other_user}",
"gists_url": "https://api.github.com/users/thomwolf/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/thomwolf",
"id": 7353373,
"login": "thomwolf",
"node_id": "MDQ6VXNlcjczNTMzNzM=",
"organizations_url": "https://api.github.com/users/thomwolf/orgs",
"received_events_url": "https://api.github.com/users/thomwolf/received_events",
"repos_url": "https://api.github.com/users/thomwolf/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/thomwolf/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/thomwolf/subscriptions",
"type": "User",
"url": "https://api.github.com/users/thomwolf"
} | [] | closed | false | null | [] | null | 4 | 2020-06-11T16:22:20Z | 2020-06-18T16:23:25Z | 2020-06-18T16:23:24Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/266.diff",
"html_url": "https://github.com/huggingface/datasets/pull/266",
"merged_at": "2020-06-18T16:23:23Z",
"patch_url": "https://github.com/huggingface/datasets/pull/266.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/266"
} | Add a bunch of methods to reorder/split/select rows in a dataset:
- `dataset.select(indices)`: Create a new dataset with rows selected following the list/array of indices (which can have a different size than the dataset and contain duplicated indices, the only constrain is that all the integers in the list must be smaller than the dataset size, otherwise we're indexing outside the dataset...)
- `dataset.sort(column_name)`: sort a dataset according to a column (has to be a column with a numpy compatible type)
- `dataset.shuffle(seed)`: shuffle a dataset rows
- `dataset.train_test_split(test_size, train_size)`: Return a dictionary with two random train and test subsets (`train` and `test` ``Dataset`` splits)
All these methods are **not** in-place which means they return new ``Dataset``.
This is the default behavior in the library.
Fix #147 #166 #259 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/266/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/266/timeline | null | null | true | [
"Nice !\r\n\r\nAlso it looks like we can have a train_test_split method for free:\r\n```python\r\ntrain_indices, test_indices = train_test_split(range(len(dataset)))\r\ntrain = dataset.sort(indices=train_indices)\r\ntest = dataset.sort(indices=test_indices)\r\n```\r\n\r\nand a shuffling method for free:\r\n```pytho... |
https://api.github.com/repos/huggingface/datasets/issues/265 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/265/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/265/comments | https://api.github.com/repos/huggingface/datasets/issues/265/events | https://github.com/huggingface/datasets/pull/265 | 637,139,220 | MDExOlB1bGxSZXF1ZXN0NDMzMTgxNDMz | 265 | Add pyarrow warning colab | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-11T15:57:51Z | 2020-08-02T18:14:36Z | 2020-06-12T08:14:16Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/265.diff",
"html_url": "https://github.com/huggingface/datasets/pull/265",
"merged_at": "2020-06-12T08:14:16Z",
"patch_url": "https://github.com/huggingface/datasets/pull/265.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/265"
} | When a user installs `nlp` on google colab, then google colab doesn't update pyarrow, and the runtime needs to be restarted to use the updated version of pyarrow.
This is an issue because `nlp` requires the updated version to work correctly.
In this PR I added en error that is shown to the user in google colab if the user tries to `import nlp` without having restarted the runtime. The error tells the user to restart the runtime. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/265/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/265/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/264 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/264/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/264/comments | https://api.github.com/repos/huggingface/datasets/issues/264/events | https://github.com/huggingface/datasets/pull/264 | 637,106,170 | MDExOlB1bGxSZXF1ZXN0NDMzMTU0ODQ4 | 264 | Fix small issues creating dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 0 | 2020-06-11T15:20:16Z | 2020-06-12T08:15:57Z | 2020-06-12T08:15:56Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/264.diff",
"html_url": "https://github.com/huggingface/datasets/pull/264",
"merged_at": "2020-06-12T08:15:56Z",
"patch_url": "https://github.com/huggingface/datasets/pull/264.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/264"
} | Fix many small issues mentioned in #249:
- don't force to install apache beam for commands
- fix None cache dir when using `dl_manager.download_custom`
- added new extras in `setup.py` named `dev` that contains tests and quality dependencies
- mock dataset sizes when running tests with dummy data
- add a note about the naming convention of datasets (camel case - snake case) in CONTRIBUTING.md
This should help users create their datasets.
Next step is the `add_dataset.md` docs :) | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 1,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 2,
"url": "https://api.github.com/repos/huggingface/datasets/issues/264/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/264/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/263/comments | https://api.github.com/repos/huggingface/datasets/issues/263/events | https://github.com/huggingface/datasets/issues/263 | 637,028,015 | MDU6SXNzdWU2MzcwMjgwMTU= | 263 | [Feature request] Support for external modality for language datasets | {
"avatar_url": "https://avatars.githubusercontent.com/u/1479733?v=4",
"events_url": "https://api.github.com/users/aleSuglia/events{/privacy}",
"followers_url": "https://api.github.com/users/aleSuglia/followers",
"following_url": "https://api.github.com/users/aleSuglia/following{/other_user}",
"gists_url": "https://api.github.com/users/aleSuglia/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/aleSuglia",
"id": 1479733,
"login": "aleSuglia",
"node_id": "MDQ6VXNlcjE0Nzk3MzM=",
"organizations_url": "https://api.github.com/users/aleSuglia/orgs",
"received_events_url": "https://api.github.com/users/aleSuglia/received_events",
"repos_url": "https://api.github.com/users/aleSuglia/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/aleSuglia/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/aleSuglia/subscriptions",
"type": "User",
"url": "https://api.github.com/users/aleSuglia"
} | [
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
},
{
"color": "c5def5",
"default": fals... | closed | false | null | [] | null | 5 | 2020-06-11T13:42:18Z | 2022-02-10T13:26:35Z | 2022-02-10T13:26:35Z | CONTRIBUTOR | null | null | null | # Background
In recent years many researchers have advocated that learning meanings from text-based only datasets is just like asking a human to "learn to speak by listening to the radio" [[E. Bender and A. Koller,2020](https://openreview.net/forum?id=GKTvAcb12b), [Y. Bisk et. al, 2020](https://arxiv.org/abs/2004.10151)]. Therefore, the importance of multi-modal datasets for the NLP community is of paramount importance for next-generation models. For this reason, I raised a [concern](https://github.com/huggingface/nlp/pull/236#issuecomment-639832029) related to the best way to integrate external features in NLP datasets (e.g., visual features associated with an image, audio features associated with a recording, etc.). This would be of great importance for a more systematic way of representing data for ML models that are learning from multi-modal data.
# Language + Vision
## Use case
Typically, people working on Language+Vision tasks, have a reference dataset (either in JSON or JSONL format) and for each example, they have an identifier that specifies the reference image. For a practical example, you can refer to the [GQA](https://cs.stanford.edu/people/dorarad/gqa/download.html#seconddown) dataset.
Currently, images are represented by either pooling-based features (average pooling of ResNet or VGGNet features, see [DeVries et.al, 2017](https://arxiv.org/abs/1611.08481), [Shekhar et.al, 2019](https://www.aclweb.org/anthology/N19-1265.pdf)) where you have a single vector for every image. Another option is to use a set of feature maps for every image extracted from a specific layer of a CNN (see [Xu et.al, 2015](https://arxiv.org/abs/1502.03044)). A more recent option, especially with large-scale multi-modal transformers [Li et. al, 2019](https://arxiv.org/abs/1908.03557), is to use FastRCNN features.
For all these types of features, people use one of the following formats:
1. [HD5F](https://pypi.org/project/h5py/)
2. [NumPy](https://numpy.org/doc/stable/reference/generated/numpy.savez.html)
3. [LMDB](https://lmdb.readthedocs.io/en/release/)
## Implementation considerations
I was thinking about possible ways of implementing this feature. As mentioned above, depending on the model, different visual features can be used. This step usually relies on another model (say ResNet-101) that is used to generate the visual features for each image used in the dataset. Typically, this step is done in a separate script that completes the feature generation procedure. The usual processing steps for these datasets are the following:
1. Download dataset
2. Download images associated with the dataset
3. Write a script that generates the visual features for every image and store them in a specific file
4. Create a DataLoader that maps the visual features to the corresponding language example
In my personal projects, I've decided to ignore HD5F because it doesn't have out-of-the-box support for multi-processing (see this PyTorch [issue](https://github.com/pytorch/pytorch/issues/11929)). I've been successfully using a NumPy compressed file for each image so that I can store any sort of information in it.
For ease of use of all these Language+Vision datasets, it would be really handy to have a way to associate the visual features with the text and store them in an efficient way. That's why I immediately thought about the HuggingFace NLP backend based on Apache Arrow. The assumption here is that the external modality will be mapped to a N-dimensional tensor so easily represented by a NumPy array.
Looking forward to hearing your thoughts about it! | {
"+1": 18,
"-1": 0,
"confused": 0,
"eyes": 4,
"heart": 1,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 23,
"url": "https://api.github.com/repos/huggingface/datasets/issues/263/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/263/timeline | null | completed | false | [
"Thanks a lot, @aleSuglia for the very detailed and introductive feature request.\r\nIt seems like we could build something pretty useful here indeed.\r\n\r\nOne of the questions here is that Arrow doesn't have built-in support for generic \"tensors\" in records but there might be ways to do that in a clean way. We... |
https://api.github.com/repos/huggingface/datasets/issues/262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/262/comments | https://api.github.com/repos/huggingface/datasets/issues/262/events | https://github.com/huggingface/datasets/pull/262 | 636,702,849 | MDExOlB1bGxSZXF1ZXN0NDMyODI3Mzcz | 262 | Add new dataset ANLI Round 1 | {
"avatar_url": "https://avatars.githubusercontent.com/u/11016329?v=4",
"events_url": "https://api.github.com/users/easonnie/events{/privacy}",
"followers_url": "https://api.github.com/users/easonnie/followers",
"following_url": "https://api.github.com/users/easonnie/following{/other_user}",
"gists_url": "https://api.github.com/users/easonnie/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/easonnie",
"id": 11016329,
"login": "easonnie",
"node_id": "MDQ6VXNlcjExMDE2MzI5",
"organizations_url": "https://api.github.com/users/easonnie/orgs",
"received_events_url": "https://api.github.com/users/easonnie/received_events",
"repos_url": "https://api.github.com/users/easonnie/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/easonnie/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/easonnie/subscriptions",
"type": "User",
"url": "https://api.github.com/users/easonnie"
} | [] | closed | false | null | [] | null | 1 | 2020-06-11T04:14:57Z | 2020-06-12T22:03:03Z | 2020-06-12T22:03:03Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/262.diff",
"html_url": "https://github.com/huggingface/datasets/pull/262",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/262.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/262"
} | Adding new dataset [ANLI](https://github.com/facebookresearch/anli/).
I'm not familiar with how to add new dataset. Let me know if there is any issue. I only include round 1 data here. There will be round 2, round 3 and more in the future with potentially different format. I think it will be better to separate them. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/262/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/262/timeline | null | null | true | [
"Hello ! Thanks for adding this one :)\r\n\r\nThis looks great, you just have to do the last steps to make the CI pass.\r\nI can see that two things are missing:\r\n1. the dummy data that is used to test that the script is working as expected\r\n2. the json file with all the infos about the dataset\r\n\r\nYou can s... |
https://api.github.com/repos/huggingface/datasets/issues/261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/261/comments | https://api.github.com/repos/huggingface/datasets/issues/261/events | https://github.com/huggingface/datasets/issues/261 | 636,372,380 | MDU6SXNzdWU2MzYzNzIzODA= | 261 | Downloading dataset error with pyarrow.lib.RecordBatch | {
"avatar_url": "https://avatars.githubusercontent.com/u/5248968?v=4",
"events_url": "https://api.github.com/users/cuent/events{/privacy}",
"followers_url": "https://api.github.com/users/cuent/followers",
"following_url": "https://api.github.com/users/cuent/following{/other_user}",
"gists_url": "https://api.github.com/users/cuent/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/cuent",
"id": 5248968,
"login": "cuent",
"node_id": "MDQ6VXNlcjUyNDg5Njg=",
"organizations_url": "https://api.github.com/users/cuent/orgs",
"received_events_url": "https://api.github.com/users/cuent/received_events",
"repos_url": "https://api.github.com/users/cuent/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/cuent/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/cuent/subscriptions",
"type": "User",
"url": "https://api.github.com/users/cuent"
} | [] | closed | false | null | [] | null | 2 | 2020-06-10T16:04:19Z | 2020-06-11T14:35:12Z | 2020-06-11T14:35:12Z | NONE | null | null | null | I am trying to download `sentiment140` and I have the following error
```
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
418 verify_infos = not save_infos and not ignore_verifications
419 self._download_and_prepare(
--> 420 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
421 )
422 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
472 try:
473 # Prepare split will record examples associated to the split
--> 474 self._prepare_split(split_generator, **prepare_split_kwargs)
475 except OSError:
476 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
652 for key, record in utils.tqdm(generator, unit=" examples", total=split_info.num_examples, leave=False):
653 example = self.info.features.encode_example(record)
--> 654 writer.write(example)
655 num_examples, num_bytes = writer.finalize()
656
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write(self, example, writer_batch_size)
143 self._build_writer(pa_table=pa.Table.from_pydict(example))
144 if writer_batch_size is not None and len(self.current_rows) >= writer_batch_size:
--> 145 self.write_on_file()
146
147 def write_batch(
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
127 else:
128 # All good
--> 129 self._write_array_on_file(pa_array)
130 self.current_rows = []
131
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
96 def _write_array_on_file(self, pa_array):
97 """Write a PyArrow Array"""
---> 98 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
99 self._num_bytes += pa_array.nbytes
100 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
```
I installed the last version and ran the following command:
```python
import nlp
sentiment140 = nlp.load_dataset('sentiment140', cache_dir='/content')
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/261/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/261/timeline | null | completed | false | [
"When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:\r\n```\r\nWARNING: The following packages were previously imported in this runtime:\r\n [pyarrow]\r\nYou must restart the runtime in order to use newly... |
https://api.github.com/repos/huggingface/datasets/issues/260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/260/comments | https://api.github.com/repos/huggingface/datasets/issues/260/events | https://github.com/huggingface/datasets/pull/260 | 636,261,118 | MDExOlB1bGxSZXF1ZXN0NDMyNDY3NDM5 | 260 | Consistency fixes | {
"avatar_url": "https://avatars.githubusercontent.com/u/326577?v=4",
"events_url": "https://api.github.com/users/julien-c/events{/privacy}",
"followers_url": "https://api.github.com/users/julien-c/followers",
"following_url": "https://api.github.com/users/julien-c/following{/other_user}",
"gists_url": "https://api.github.com/users/julien-c/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/julien-c",
"id": 326577,
"login": "julien-c",
"node_id": "MDQ6VXNlcjMyNjU3Nw==",
"organizations_url": "https://api.github.com/users/julien-c/orgs",
"received_events_url": "https://api.github.com/users/julien-c/received_events",
"repos_url": "https://api.github.com/users/julien-c/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/julien-c/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/julien-c/subscriptions",
"type": "User",
"url": "https://api.github.com/users/julien-c"
} | [] | closed | false | null | [] | null | 0 | 2020-06-10T13:44:42Z | 2020-06-11T10:34:37Z | 2020-06-11T10:34:36Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/260.diff",
"html_url": "https://github.com/huggingface/datasets/pull/260",
"merged_at": "2020-06-11T10:34:36Z",
"patch_url": "https://github.com/huggingface/datasets/pull/260.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/260"
} | A few bugs I've found while hacking | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/260/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/260/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/259/comments | https://api.github.com/repos/huggingface/datasets/issues/259/events | https://github.com/huggingface/datasets/issues/259 | 636,239,529 | MDU6SXNzdWU2MzYyMzk1Mjk= | 259 | documentation missing how to split a dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/2873355?v=4",
"events_url": "https://api.github.com/users/fotisj/events{/privacy}",
"followers_url": "https://api.github.com/users/fotisj/followers",
"following_url": "https://api.github.com/users/fotisj/following{/other_user}",
"gists_url": "https://api.github.com/users/fotisj/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/fotisj",
"id": 2873355,
"login": "fotisj",
"node_id": "MDQ6VXNlcjI4NzMzNTU=",
"organizations_url": "https://api.github.com/users/fotisj/orgs",
"received_events_url": "https://api.github.com/users/fotisj/received_events",
"repos_url": "https://api.github.com/users/fotisj/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/fotisj/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/fotisj/subscriptions",
"type": "User",
"url": "https://api.github.com/users/fotisj"
} | [] | closed | false | null | [] | null | 7 | 2020-06-10T13:18:13Z | 2023-03-14T13:56:07Z | 2020-06-18T22:20:24Z | NONE | null | null | null | I am trying to understand how to split a dataset ( as arrow_dataset).
I know I can do something like this to access a split which is already in the original dataset :
`ds_test = nlp.load_dataset('imdb, split='test') `
But how can I split ds_test into a test and a validation set (without reading the data into memory and keeping the arrow_dataset as container)?
I guess it has something to do with the module split :-) but there is no real documentation in the code but only a reference to a longer description:
> See the [guide on splits](https://github.com/huggingface/nlp/tree/master/docs/splits.md) for more information.
But the guide seems to be missing.
To clarify: I know that this has been modelled after the dataset of tensorflow and that some of the documentation there can be used [like this one](https://www.tensorflow.org/datasets/splits). But to come back to the example above: I cannot simply split the testset doing this:
`ds_test = nlp.load_dataset('imdb, split='test'[:5000]) `
`ds_val = nlp.load_dataset('imdb, split='test'[5000:])`
because the imdb test data is sorted by class (probably not a good idea anyway)
| {
"+1": 2,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 2,
"url": "https://api.github.com/repos/huggingface/datasets/issues/259/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/259/timeline | null | completed | false | [
"this seems to work for my specific problem:\r\n\r\n`self.train_ds, self.test_ds, self.val_ds = map(_prepare_ds, ('train', 'test[:25%]+test[50%:75%]', 'test[75%:]'))`",
"Currently you can indeed split a dataset using `ds_test = nlp.load_dataset('imdb, split='test[:5000]')` (works also with percentages).\r\n\r\nHo... |
https://api.github.com/repos/huggingface/datasets/issues/258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/258/comments | https://api.github.com/repos/huggingface/datasets/issues/258/events | https://github.com/huggingface/datasets/issues/258 | 635,859,525 | MDU6SXNzdWU2MzU4NTk1MjU= | 258 | Why is dataset after tokenization far more larger than the orginal one ? | {
"avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4",
"events_url": "https://api.github.com/users/richarddwang/events{/privacy}",
"followers_url": "https://api.github.com/users/richarddwang/followers",
"following_url": "https://api.github.com/users/richarddwang/following{/other_user}",
"gists_url": "https://api.github.com/users/richarddwang/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/richarddwang",
"id": 17963619,
"login": "richarddwang",
"node_id": "MDQ6VXNlcjE3OTYzNjE5",
"organizations_url": "https://api.github.com/users/richarddwang/orgs",
"received_events_url": "https://api.github.com/users/richarddwang/received_events",
"repos_url": "https://api.github.com/users/richarddwang/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/richarddwang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/richarddwang/subscriptions",
"type": "User",
"url": "https://api.github.com/users/richarddwang"
} | [] | closed | false | null | [] | null | 4 | 2020-06-10T01:27:07Z | 2020-06-10T12:46:34Z | 2020-06-10T12:46:34Z | CONTRIBUTOR | null | null | null | I tokenize wiki dataset by `map` and cache the results.
```
def tokenize_tfm(example):
example['input_ids'] = hf_fast_tokenizer.convert_tokens_to_ids(hf_fast_tokenizer.tokenize(example['text']))
return example
wiki = nlp.load_dataset('wikipedia', '20200501.en', cache_dir=cache_dir)['train']
wiki.map(tokenize_tfm, cache_file_name=cache_dir/"wikipedia/20200501.en/1.0.0/tokenized_wiki.arrow")
```
and when I see their size
```
ls -l --block-size=M
17460M wikipedia-train.arrow
47511M tokenized_wiki.arrow
```
The tokenized one is over 2x size of original one.
Is there something I did wrong ? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/258/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/258/timeline | null | completed | false | [
"Hi ! This is because `.map` added the new column `input_ids` to the dataset, and so all the other columns were kept. Therefore the dataset size increased a lot.\r\n If you want to only keep the `input_ids` column, you can stash the other ones by specifying `remove_columns=[\"title\", \"text\"]` in the arguments of... |
https://api.github.com/repos/huggingface/datasets/issues/257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/257/comments | https://api.github.com/repos/huggingface/datasets/issues/257/events | https://github.com/huggingface/datasets/issues/257 | 635,620,979 | MDU6SXNzdWU2MzU2MjA5Nzk= | 257 | Tokenizer pickling issue fix not landed in `nlp` yet? | {
"avatar_url": "https://avatars.githubusercontent.com/u/8027676?v=4",
"events_url": "https://api.github.com/users/sarahwie/events{/privacy}",
"followers_url": "https://api.github.com/users/sarahwie/followers",
"following_url": "https://api.github.com/users/sarahwie/following{/other_user}",
"gists_url": "https://api.github.com/users/sarahwie/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/sarahwie",
"id": 8027676,
"login": "sarahwie",
"node_id": "MDQ6VXNlcjgwMjc2NzY=",
"organizations_url": "https://api.github.com/users/sarahwie/orgs",
"received_events_url": "https://api.github.com/users/sarahwie/received_events",
"repos_url": "https://api.github.com/users/sarahwie/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/sarahwie/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sarahwie/subscriptions",
"type": "User",
"url": "https://api.github.com/users/sarahwie"
} | [] | closed | false | null | [] | null | 2 | 2020-06-09T17:12:34Z | 2020-06-10T21:45:32Z | 2020-06-09T17:26:53Z | NONE | null | null | null | Unless I recreate an arrow_dataset from my loaded nlp dataset myself (which I think does not use the cache by default), I get the following error when applying the map function:
```
dataset = nlp.load_dataset('cos_e')
tokenizer = GPT2TokenizerFast.from_pretrained('gpt2', cache_dir=cache_dir)
for split in dataset.keys():
dataset[split].map(lambda x: some_function(x, tokenizer))
```
```
06/09/2020 10:09:19 - INFO - nlp.builder - Constructing Dataset for split train[:10], from /home/sarahw/.cache/huggingface/datasets/cos_e/default/0.0.1
Traceback (most recent call last):
File "generation/input_to_label_and_rationale.py", line 390, in <module>
main()
File "generation/input_to_label_and_rationale.py", line 263, in main
dataset[split] = dataset[split].map(lambda x: input_to_explanation_plus_label(x, tokenizer, max_length, datasource=data_args.task_name, wt5=(model_class=='t5'), expl_only=model_args.rationale_only), batched=False)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/nlp/arrow_dataset.py", line 522, in map
cache_file_name = self._get_cache_file_path(function, cache_kwargs)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/nlp/arrow_dataset.py", line 381, in _get_cache_file_path
function_bytes = dumps(function)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/nlp/utils/py_utils.py", line 257, in dumps
dump(obj, file)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/nlp/utils/py_utils.py", line 250, in dump
Pickler(file).dump(obj)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/dill/_dill.py", line 445, in dump
StockPickler.dump(self, obj)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 485, in dump
self.save(obj)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/dill/_dill.py", line 1410, in save_function
pickler.save_reduce(_create_function, (obj.__code__,
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 690, in save_reduce
save(args)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 899, in save_tuple
save(element)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 899, in save_tuple
save(element)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/dill/_dill.py", line 1147, in save_cell
pickler.save_reduce(_create_cell, (f,), obj=obj)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 690, in save_reduce
save(args)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 884, in save_tuple
save(element)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 601, in save
self.save_reduce(obj=obj, *rv)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 715, in save_reduce
save(state)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/dill/_dill.py", line 912, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 969, in save_dict
self._batch_setitems(obj.items())
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 995, in _batch_setitems
save(v)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 601, in save
self.save_reduce(obj=obj, *rv)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 715, in save_reduce
save(state)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 558, in save
f(self, obj) # Call unbound method with explicit self
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/site-packages/dill/_dill.py", line 912, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 969, in save_dict
self._batch_setitems(obj.items())
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 995, in _batch_setitems
save(v)
File "/home/sarahw/miniconda3/envs/project_huggingface/lib/python3.8/pickle.py", line 576, in save
rv = reduce(self.proto)
TypeError: cannot pickle 'Tokenizer' object
```
Fix seems to be in the tokenizers [`0.8.0.dev1 pre-release`](https://github.com/huggingface/tokenizers/issues/87), which I can't install with any package managers. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/257/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/257/timeline | null | completed | false | [
"Yes, the new release of tokenizers solves this and should be out soon.\r\nIn the meantime, you can install it with `pip install tokenizers==0.8.0-dev2`",
"If others run into this issue, a quick fix is to use python 3.6 instead of 3.7+. Serialization differences between the 3rd party `dataclasses` package for 3.6... |
https://api.github.com/repos/huggingface/datasets/issues/256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/256/comments | https://api.github.com/repos/huggingface/datasets/issues/256/events | https://github.com/huggingface/datasets/issues/256 | 635,596,295 | MDU6SXNzdWU2MzU1OTYyOTU= | 256 | [Feature request] Add a feature to dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/8027676?v=4",
"events_url": "https://api.github.com/users/sarahwie/events{/privacy}",
"followers_url": "https://api.github.com/users/sarahwie/followers",
"following_url": "https://api.github.com/users/sarahwie/following{/other_user}",
"gists_url": "https://api.github.com/users/sarahwie/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/sarahwie",
"id": 8027676,
"login": "sarahwie",
"node_id": "MDQ6VXNlcjgwMjc2NzY=",
"organizations_url": "https://api.github.com/users/sarahwie/orgs",
"received_events_url": "https://api.github.com/users/sarahwie/received_events",
"repos_url": "https://api.github.com/users/sarahwie/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/sarahwie/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sarahwie/subscriptions",
"type": "User",
"url": "https://api.github.com/users/sarahwie"
} | [] | closed | false | null | [] | null | 5 | 2020-06-09T16:38:12Z | 2020-06-09T16:51:42Z | 2020-06-09T16:51:42Z | NONE | null | null | null | Is there a straightforward way to add a field to the arrow_dataset, prior to performing map? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/256/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/256/timeline | null | completed | false | [
"Do you have an example of what you would like to do? (you can just add a field in the output of the unction you give to map and this will add this field in the output table)",
"Given another source of data loaded in, I want to pre-add it to the dataset so that it aligns with the indices of the arrow dataset prio... |
https://api.github.com/repos/huggingface/datasets/issues/255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/255/comments | https://api.github.com/repos/huggingface/datasets/issues/255/events | https://github.com/huggingface/datasets/pull/255 | 635,300,822 | MDExOlB1bGxSZXF1ZXN0NDMxNjg3MDM0 | 255 | Add dataset/piaf | {
"avatar_url": "https://avatars.githubusercontent.com/u/36986299?v=4",
"events_url": "https://api.github.com/users/RachelKer/events{/privacy}",
"followers_url": "https://api.github.com/users/RachelKer/followers",
"following_url": "https://api.github.com/users/RachelKer/following{/other_user}",
"gists_url": "https://api.github.com/users/RachelKer/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/RachelKer",
"id": 36986299,
"login": "RachelKer",
"node_id": "MDQ6VXNlcjM2OTg2Mjk5",
"organizations_url": "https://api.github.com/users/RachelKer/orgs",
"received_events_url": "https://api.github.com/users/RachelKer/received_events",
"repos_url": "https://api.github.com/users/RachelKer/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/RachelKer/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/RachelKer/subscriptions",
"type": "User",
"url": "https://api.github.com/users/RachelKer"
} | [] | closed | false | null | [] | null | 1 | 2020-06-09T10:16:01Z | 2020-06-12T08:31:27Z | 2020-06-12T08:31:27Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/255.diff",
"html_url": "https://github.com/huggingface/datasets/pull/255",
"merged_at": "2020-06-12T08:31:27Z",
"patch_url": "https://github.com/huggingface/datasets/pull/255.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/255"
} | Small SQuAD-like French QA dataset [PIAF](https://www.aclweb.org/anthology/2020.lrec-1.673.pdf) | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/255/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/255/timeline | null | null | true | [
"Very nice !"
] |
https://api.github.com/repos/huggingface/datasets/issues/254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/254/comments | https://api.github.com/repos/huggingface/datasets/issues/254/events | https://github.com/huggingface/datasets/issues/254 | 635,057,568 | MDU6SXNzdWU2MzUwNTc1Njg= | 254 | [Feature request] Be able to remove a specific sample of the dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4",
"events_url": "https://api.github.com/users/astariul/events{/privacy}",
"followers_url": "https://api.github.com/users/astariul/followers",
"following_url": "https://api.github.com/users/astariul/following{/other_user}",
"gists_url": "https://api.github.com/users/astariul/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/astariul",
"id": 43774355,
"login": "astariul",
"node_id": "MDQ6VXNlcjQzNzc0MzU1",
"organizations_url": "https://api.github.com/users/astariul/orgs",
"received_events_url": "https://api.github.com/users/astariul/received_events",
"repos_url": "https://api.github.com/users/astariul/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/astariul/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/astariul/subscriptions",
"type": "User",
"url": "https://api.github.com/users/astariul"
} | [] | closed | false | null | [] | null | 1 | 2020-06-09T02:22:13Z | 2020-06-09T08:41:38Z | 2020-06-09T08:41:38Z | NONE | null | null | null | As mentioned in #117, it's currently not possible to remove a sample of the dataset.
But it is a important use case : After applying some preprocessing, some samples might be empty for example. We should be able to remove these samples from the dataset, or at least mark them as `removed` so when iterating the dataset, we don't iterate these samples.
I think it should be a feature. What do you think ?
---
Any work-around in the meantime ? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/254/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/254/timeline | null | completed | false | [
"Oh yes you can now do that with the `dataset.filter()` method that was added in #214 "
] |
https://api.github.com/repos/huggingface/datasets/issues/253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/253/comments | https://api.github.com/repos/huggingface/datasets/issues/253/events | https://github.com/huggingface/datasets/pull/253 | 634,791,939 | MDExOlB1bGxSZXF1ZXN0NDMxMjgwOTYz | 253 | add flue dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/38249783?v=4",
"events_url": "https://api.github.com/users/mariamabarham/events{/privacy}",
"followers_url": "https://api.github.com/users/mariamabarham/followers",
"following_url": "https://api.github.com/users/mariamabarham/following{/other_user}",
"gists_url": "https://api.github.com/users/mariamabarham/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariamabarham",
"id": 38249783,
"login": "mariamabarham",
"node_id": "MDQ6VXNlcjM4MjQ5Nzgz",
"organizations_url": "https://api.github.com/users/mariamabarham/orgs",
"received_events_url": "https://api.github.com/users/mariamabarham/received_events",
"repos_url": "https://api.github.com/users/mariamabarham/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariamabarham/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariamabarham/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariamabarham"
} | [] | closed | false | null | [] | null | 10 | 2020-06-08T17:11:09Z | 2023-09-24T09:46:03Z | 2020-07-16T07:50:59Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/253.diff",
"html_url": "https://github.com/huggingface/datasets/pull/253",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/253.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/253"
} | This PR add the Flue dataset as requested in this issue #223 . @lbourdois made a detailed description in that issue.
| {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/253/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/253/timeline | null | null | true | [
"The dummy data file was wrong. I only fixed it for the book config. Even though the tests are all green here, this should also be fixed for all other configs. Could you take a look there @mariamabarham ? ",
"Hi @mariamabarham \r\n\r\nFLUE can indeed become a very interesting benchmark for french NLP !\r\nUnfortu... |
https://api.github.com/repos/huggingface/datasets/issues/252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/252/comments | https://api.github.com/repos/huggingface/datasets/issues/252/events | https://github.com/huggingface/datasets/issues/252 | 634,563,239 | MDU6SXNzdWU2MzQ1NjMyMzk= | 252 | NonMatchingSplitsSizesError error when reading the IMDB dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/17463361?v=4",
"events_url": "https://api.github.com/users/antmarakis/events{/privacy}",
"followers_url": "https://api.github.com/users/antmarakis/followers",
"following_url": "https://api.github.com/users/antmarakis/following{/other_user}",
"gists_url": "https://api.github.com/users/antmarakis/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/antmarakis",
"id": 17463361,
"login": "antmarakis",
"node_id": "MDQ6VXNlcjE3NDYzMzYx",
"organizations_url": "https://api.github.com/users/antmarakis/orgs",
"received_events_url": "https://api.github.com/users/antmarakis/received_events",
"repos_url": "https://api.github.com/users/antmarakis/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/antmarakis/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/antmarakis/subscriptions",
"type": "User",
"url": "https://api.github.com/users/antmarakis"
} | [] | closed | false | null | [] | null | 4 | 2020-06-08T12:26:24Z | 2021-08-27T15:20:58Z | 2020-06-08T14:01:26Z | NONE | null | null | null | Hi!
I am trying to load the `imdb` dataset with this line:
`dataset = nlp.load_dataset('imdb', data_dir='/A/PATH', cache_dir='/A/PATH')`
but I am getting the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/mounts/Users/cisintern/antmarakis/anaconda3/lib/python3.7/site-packages/nlp/load.py", line 517, in load_dataset
save_infos=save_infos,
File "/mounts/Users/cisintern/antmarakis/anaconda3/lib/python3.7/site-packages/nlp/builder.py", line 363, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/mounts/Users/cisintern/antmarakis/anaconda3/lib/python3.7/site-packages/nlp/builder.py", line 421, in _download_and_prepare
verify_splits(self.info.splits, split_dict)
File "/mounts/Users/cisintern/antmarakis/anaconda3/lib/python3.7/site-packages/nlp/utils/info_utils.py", line 70, in verify_splits
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=33442202, num_examples=25000, dataset_name='imdb'), 'recorded': SplitInfo(name='train', num_bytes=5929447, num_examples=4537, dataset_name='imdb')}, {'expected': SplitInfo(name='unsupervised', num_bytes=67125548, num_examples=50000, dataset_name='imdb'), 'recorded': SplitInfo(name='unsupervised', num_bytes=0, num_examples=0, dataset_name='imdb')}]
```
Am I overlooking something? Thanks! | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/252/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/252/timeline | null | completed | false | [
"I just tried on my side and I didn't encounter your problem.\r\nApparently the script doesn't generate all the examples on your side.\r\n\r\nCan you provide the version of `nlp` you're using ?\r\nCan you try to clear your cache and re-run the code ?",
"I updated it, that was it, thanks!",
"Hello, I am facing t... |
https://api.github.com/repos/huggingface/datasets/issues/251 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/251/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/251/comments | https://api.github.com/repos/huggingface/datasets/issues/251/events | https://github.com/huggingface/datasets/pull/251 | 634,544,977 | MDExOlB1bGxSZXF1ZXN0NDMxMDgwMDkw | 251 | Better access to all dataset information | {
"avatar_url": "https://avatars.githubusercontent.com/u/7353373?v=4",
"events_url": "https://api.github.com/users/thomwolf/events{/privacy}",
"followers_url": "https://api.github.com/users/thomwolf/followers",
"following_url": "https://api.github.com/users/thomwolf/following{/other_user}",
"gists_url": "https://api.github.com/users/thomwolf/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/thomwolf",
"id": 7353373,
"login": "thomwolf",
"node_id": "MDQ6VXNlcjczNTMzNzM=",
"organizations_url": "https://api.github.com/users/thomwolf/orgs",
"received_events_url": "https://api.github.com/users/thomwolf/received_events",
"repos_url": "https://api.github.com/users/thomwolf/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/thomwolf/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/thomwolf/subscriptions",
"type": "User",
"url": "https://api.github.com/users/thomwolf"
} | [] | closed | false | null | [] | null | 0 | 2020-06-08T11:56:50Z | 2020-06-12T08:13:00Z | 2020-06-12T08:12:58Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/251.diff",
"html_url": "https://github.com/huggingface/datasets/pull/251",
"merged_at": "2020-06-12T08:12:58Z",
"patch_url": "https://github.com/huggingface/datasets/pull/251.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/251"
} | Moves all the dataset info down one level from `dataset.info.XXX` to `dataset.XXX`
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', name='stsb', split='train')
stsb.split
>>> NamedSplit('train')
``` | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/251/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/251/timeline | null | null | true | [] |
https://api.github.com/repos/huggingface/datasets/issues/250 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/250/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/250/comments | https://api.github.com/repos/huggingface/datasets/issues/250/events | https://github.com/huggingface/datasets/pull/250 | 634,416,751 | MDExOlB1bGxSZXF1ZXN0NDMwOTcyMzg4 | 250 | Remove checksum download in c4 | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 1 | 2020-06-08T09:13:00Z | 2020-08-25T07:04:56Z | 2020-06-08T09:16:59Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/250.diff",
"html_url": "https://github.com/huggingface/datasets/pull/250",
"merged_at": "2020-06-08T09:16:59Z",
"patch_url": "https://github.com/huggingface/datasets/pull/250.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/250"
} | There was a line from the original tfds script that was still there and causing issues when loading the c4 script. This one should fix #233 and allow anyone to load the c4 script to generate the dataset | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/250/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/250/timeline | null | null | true | [
"Commenting again in case [previous thread](https://github.com/huggingface/nlp/pull/233) was inactive.\r\n\r\n@lhoestq I am facing `IsADirectoryError` while downloading with this command.\r\nCan you pls look into it & help me.\r\nI'm using version 0.4.0 of `nlp`.\r\n\r\n```\r\ndataset = load_dataset(\"c4\", 'en', d... |
https://api.github.com/repos/huggingface/datasets/issues/249 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/249/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/249/comments | https://api.github.com/repos/huggingface/datasets/issues/249/events | https://github.com/huggingface/datasets/issues/249 | 633,393,443 | MDU6SXNzdWU2MzMzOTM0NDM= | 249 | [Dataset created] some critical small issues when I was creating a dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4",
"events_url": "https://api.github.com/users/richarddwang/events{/privacy}",
"followers_url": "https://api.github.com/users/richarddwang/followers",
"following_url": "https://api.github.com/users/richarddwang/following{/other_user}",
"gists_url": "https://api.github.com/users/richarddwang/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/richarddwang",
"id": 17963619,
"login": "richarddwang",
"node_id": "MDQ6VXNlcjE3OTYzNjE5",
"organizations_url": "https://api.github.com/users/richarddwang/orgs",
"received_events_url": "https://api.github.com/users/richarddwang/received_events",
"repos_url": "https://api.github.com/users/richarddwang/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/richarddwang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/richarddwang/subscriptions",
"type": "User",
"url": "https://api.github.com/users/richarddwang"
} | [] | closed | false | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [
{
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists... | null | 2 | 2020-06-07T12:58:54Z | 2020-06-12T08:28:51Z | 2020-06-12T08:28:51Z | CONTRIBUTOR | null | null | null | Hi, I successfully created a dataset and has made a pr #248.
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, then it might be better to include it in the pakcage dependency or specified in `CONTRIBUTING.md`
```
Traceback (most recent call last):
File "nlp-cli", line 10, in <module>
from nlp.commands.run_beam import RunBeamCommand
File "/home/yisiang/nlp/src/nlp/commands/run_beam.py", line 6, in <module>
import apache_beam as beam
ModuleNotFoundError: No module named 'apache_beam'
```
3. `cached_dir` is `None`
```
File "/home/yisiang/nlp/src/nlp/datasets/bookscorpus/aea0bd5142d26df645a8fce23d6110bb95ecb81772bb2a1f29012e329191962c/bookscorpus.py", line 88, in _split_generators
downloaded_path_or_paths = dl_manager.download_custom(_GDRIVE_FILE_ID, download_file_from_google_drive)
File "/home/yisiang/nlp/src/nlp/utils/download_manager.py", line 128, in download_custom
downloaded_path_or_paths = map_nested(url_to_downloaded_path, url_or_urls)
File "/home/yisiang/nlp/src/nlp/utils/py_utils.py", line 172, in map_nested
return function(data_struct)
File "/home/yisiang/nlp/src/nlp/utils/download_manager.py", line 126, in url_to_downloaded_path
return os.path.join(self._download_config.cache_dir, hash_url_to_filename(url))
File "/home/yisiang/miniconda3/envs/nlppr/lib/python3.7/posixpath.py", line 80, in join
a = os.fspath(a)
```
This is because this line
https://github.com/huggingface/nlp/blob/2e0a8639a79b1abc848cff5c669094d40bba0f63/src/nlp/commands/test.py#L30-L32
And I add `--cache_dir="...."` to `python nlp-cli test datasets/<your-dataset-folder> --save_infos --all_configs` in the doc, finally I could pass this error.
But it seems to ignore my arg and use `/home/yisiang/.cache/huggingface/datasets/bookscorpus/plain_text/1.0.0` as cahe_dir
4. There is no `pytest`
So maybe in the doc we should specify a step to install pytest
5. Not enough capacity in my `/tmp`
When run test for dummy data, I don't know why it ask me for 5.6g to download something,
```
def download_and_prepare
...
if not utils.has_sufficient_disk_space(self.info.size_in_bytes or 0, directory=self._cache_dir_root):
raise IOError(
"Not enough disk space. Needed: {} (download: {}, generated: {})".format(
utils.size_str(self.info.size_in_bytes or 0),
utils.size_str(self.info.download_size or 0),
> utils.size_str(self.info.dataset_size or 0),
)
)
E OSError: Not enough disk space. Needed: 5.62 GiB (download: 1.10 GiB, generated: 4.52 GiB)
```
I add a `processed_temp_dir="some/dir"; raw_temp_dir="another/dir"` to 71, and the test passed
https://github.com/huggingface/nlp/blob/a67a6c422dece904b65d18af65f0e024e839dbe8/tests/test_dataset_common.py#L70-L72
I suggest we can create tmp dir under the `/home/user/tmp` but not `/tmp`, because take our lab server for example, everyone use `/tmp` thus it has not much capacity. Or at least we can improve error message, so the user know is what directory has no space and how many has it lefted. Or we could do both.
6. name of datasets
I was surprised by the dataset name `books_corpus`, and didn't know it is from `class BooksCorpus(nlp.GeneratorBasedBuilder)` . I change it to `Bookscorpus` afterwards. I think this point shold be also on the doc.
7. More thorough doc to how to create `dataset.py`
I believe there will be.
**Feel free to close this issue** if you think these are solved. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/249/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/249/timeline | null | completed | false | [
"Thanks for noticing all these :) They should be easy to fix indeed",
"Alright I think I fixed all the problems you mentioned. Thanks again, that will be useful for many people.\r\nThere is still more work needed for point 7. but we plan to have some nice docs soon."
] |
https://api.github.com/repos/huggingface/datasets/issues/248 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/248/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/248/comments | https://api.github.com/repos/huggingface/datasets/issues/248/events | https://github.com/huggingface/datasets/pull/248 | 633,390,427 | MDExOlB1bGxSZXF1ZXN0NDMwMDQ0MzU0 | 248 | add Toronto BooksCorpus | {
"avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4",
"events_url": "https://api.github.com/users/richarddwang/events{/privacy}",
"followers_url": "https://api.github.com/users/richarddwang/followers",
"following_url": "https://api.github.com/users/richarddwang/following{/other_user}",
"gists_url": "https://api.github.com/users/richarddwang/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/richarddwang",
"id": 17963619,
"login": "richarddwang",
"node_id": "MDQ6VXNlcjE3OTYzNjE5",
"organizations_url": "https://api.github.com/users/richarddwang/orgs",
"received_events_url": "https://api.github.com/users/richarddwang/received_events",
"repos_url": "https://api.github.com/users/richarddwang/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/richarddwang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/richarddwang/subscriptions",
"type": "User",
"url": "https://api.github.com/users/richarddwang"
} | [] | closed | false | null | [] | null | 11 | 2020-06-07T12:54:56Z | 2020-06-12T08:45:03Z | 2020-06-12T08:45:02Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/248.diff",
"html_url": "https://github.com/huggingface/datasets/pull/248",
"merged_at": "2020-06-12T08:45:02Z",
"patch_url": "https://github.com/huggingface/datasets/pull/248.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/248"
} | 1. I knew there is a branch `toronto_books_corpus`
- 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
- `bookscorpus.py` include a function `download_file_from_google_drive` , maybe you will want to put it elsewhere.
- text mirror is found in this [comment on the issue](https://github.com/soskek/bookcorpus/issues/24#issuecomment-556024973), and it said to have the same statistics as the one in the paper.
- You may want to download it and put it on your gs in case of it disappears someday.
3. Copyright ?
The paper has said
> **The BookCorpus Dataset.** In order to train our sentence similarity model we collected a corpus of 11,038 books ***from the web***. These are __**free books written by yet unpublished authors**__. We only included books that had more than 20K words in order to filter out perhaps noisier shorter stories. The dataset has books in 16 different genres, e.g., Romance (2,865 books), Fantasy (1,479), Science fiction (786), Teen (430), etc. Table 2 highlights the summary statistics of our book corpus.
and we have changed the form (not books), so I don't think it should have that problems. Or we can state that use it at your own risk or only for academic use. I know @thomwolf should know these things more.
This should solved #131 | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/248/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/248/timeline | null | null | true | [
"Thanks for adding this one !\r\n\r\nAbout the three points you mentioned:\r\n1. I think the `toronto_books_corpus` branch can be removed @mariamabarham ? \r\n2. You can use the download manager to download from google drive. For you case you can just do something like \r\n```python\r\nURL = \"https://drive.google.... |
https://api.github.com/repos/huggingface/datasets/issues/247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/247/comments | https://api.github.com/repos/huggingface/datasets/issues/247/events | https://github.com/huggingface/datasets/pull/247 | 632,380,078 | MDExOlB1bGxSZXF1ZXN0NDI5MTMwMzQ2 | 247 | Make all dataset downloads deterministic by applying `sorted` to glob and os.listdir | {
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patrickvonplaten",
"id": 23423619,
"login": "patrickvonplaten",
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patrickvonplaten"
} | [] | closed | false | null | [] | null | 3 | 2020-06-06T11:02:10Z | 2020-06-08T09:18:16Z | 2020-06-08T09:18:14Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/247.diff",
"html_url": "https://github.com/huggingface/datasets/pull/247",
"merged_at": "2020-06-08T09:18:14Z",
"patch_url": "https://github.com/huggingface/datasets/pull/247.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/247"
} | This PR makes all datasets loading deterministic by applying `sorted()` to all `glob.glob` and `os.listdir` statements.
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 backward compatibility for these datasets because
1. When loading the complete dataset the order in which the examples are saved is different now
2. When loading only part of a split, the examples themselves might be different.
@patrickvonplaten - the nlp / longformer notebook has to be updated since the examples might now be different | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/247/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/247/timeline | null | null | true | [
"That's great!\r\n\r\nI think it would be nice to test \"deterministic-ness\" of datasets in CI if we can do it (should be left for future PR of course)\r\n\r\nHere is a possibility (maybe there are other ways to do it): given that we may soon have efficient and large-scale hashing (cf our discussion on versioning/... |
https://api.github.com/repos/huggingface/datasets/issues/246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/246/comments | https://api.github.com/repos/huggingface/datasets/issues/246/events | https://github.com/huggingface/datasets/issues/246 | 632,380,054 | MDU6SXNzdWU2MzIzODAwNTQ= | 246 | What is the best way to cache a dataset? | {
"avatar_url": "https://avatars.githubusercontent.com/u/112599?v=4",
"events_url": "https://api.github.com/users/Mistobaan/events{/privacy}",
"followers_url": "https://api.github.com/users/Mistobaan/followers",
"following_url": "https://api.github.com/users/Mistobaan/following{/other_user}",
"gists_url": "https://api.github.com/users/Mistobaan/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Mistobaan",
"id": 112599,
"login": "Mistobaan",
"node_id": "MDQ6VXNlcjExMjU5OQ==",
"organizations_url": "https://api.github.com/users/Mistobaan/orgs",
"received_events_url": "https://api.github.com/users/Mistobaan/received_events",
"repos_url": "https://api.github.com/users/Mistobaan/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Mistobaan/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Mistobaan/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Mistobaan"
} | [] | closed | false | null | [] | null | 2 | 2020-06-06T11:02:07Z | 2020-07-09T09:15:07Z | 2020-07-09T09:15:07Z | NONE | null | null | null | For example if I want to use streamlit with a nlp dataset:
```
@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})
```
But I was curious to know what is the best way in general
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/246/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/246/timeline | null | completed | false | [
"Everything is already cached by default in 🤗nlp (in particular dataset\nloading and all the “map()” operations) so I don’t think you need to do any\nspecific caching in streamlit.\n\nTell us if you feel like it’s not the case.\n\nOn Sat, 6 Jun 2020 at 13:02, Fabrizio Milo <notifications@github.com> wrote:\n\n> Fo... |
https://api.github.com/repos/huggingface/datasets/issues/245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/245/comments | https://api.github.com/repos/huggingface/datasets/issues/245/events | https://github.com/huggingface/datasets/issues/245 | 631,985,108 | MDU6SXNzdWU2MzE5ODUxMDg= | 245 | SST-2 test labels are all -1 | {
"avatar_url": "https://avatars.githubusercontent.com/u/13238952?v=4",
"events_url": "https://api.github.com/users/jxmorris12/events{/privacy}",
"followers_url": "https://api.github.com/users/jxmorris12/followers",
"following_url": "https://api.github.com/users/jxmorris12/following{/other_user}",
"gists_url": "https://api.github.com/users/jxmorris12/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/jxmorris12",
"id": 13238952,
"login": "jxmorris12",
"node_id": "MDQ6VXNlcjEzMjM4OTUy",
"organizations_url": "https://api.github.com/users/jxmorris12/orgs",
"received_events_url": "https://api.github.com/users/jxmorris12/received_events",
"repos_url": "https://api.github.com/users/jxmorris12/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/jxmorris12/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jxmorris12/subscriptions",
"type": "User",
"url": "https://api.github.com/users/jxmorris12"
} | [] | closed | false | null | [] | null | 10 | 2020-06-05T21:41:42Z | 2021-12-08T00:47:32Z | 2020-06-06T16:56:41Z | CONTRIBUTOR | null | null | null | I'm trying to test a model on the SST-2 task, but all the labels I see in the test set are -1.
```
>>> 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': 'string', 'label': 'int64', 'idx': 'int32'}, num_rows: 872), 'test': Dataset(schema: {'sentence': 'string', 'label': 'int64', 'idx': 'int32'}, num_rows: 1821)}
>>> list(l['label'] for l in glue['test'])
[-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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -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, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
``` | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/245/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/245/timeline | null | completed | false | [
"this also happened to me with `nlp.load_dataset('glue', 'mnli')`",
"Yes, this is because the test sets for glue are hidden so the labels are\nnot publicly available. You can read the glue paper for more details.\n\nOn Sat, 6 Jun 2020 at 18:16, Jack Morris <notifications@github.com> wrote:\n\n> this also happened... |
https://api.github.com/repos/huggingface/datasets/issues/244 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/244/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/244/comments | https://api.github.com/repos/huggingface/datasets/issues/244/events | https://github.com/huggingface/datasets/pull/244 | 631,869,155 | MDExOlB1bGxSZXF1ZXN0NDI4NjgxMTcx | 244 | Add Allociné Dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/37028092?v=4",
"events_url": "https://api.github.com/users/TheophileBlard/events{/privacy}",
"followers_url": "https://api.github.com/users/TheophileBlard/followers",
"following_url": "https://api.github.com/users/TheophileBlard/following{/other_user}",
"gists_url": "https://api.github.com/users/TheophileBlard/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/TheophileBlard",
"id": 37028092,
"login": "TheophileBlard",
"node_id": "MDQ6VXNlcjM3MDI4MDky",
"organizations_url": "https://api.github.com/users/TheophileBlard/orgs",
"received_events_url": "https://api.github.com/users/TheophileBlard/received_events",
"repos_url": "https://api.github.com/users/TheophileBlard/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/TheophileBlard/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TheophileBlard/subscriptions",
"type": "User",
"url": "https://api.github.com/users/TheophileBlard"
} | [] | closed | false | null | [] | null | 3 | 2020-06-05T19:19:26Z | 2020-06-11T07:47:26Z | 2020-06-11T07:47:26Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/244.diff",
"html_url": "https://github.com/huggingface/datasets/pull/244",
"merged_at": "2020-06-11T07:47:26Z",
"patch_url": "https://github.com/huggingface/datasets/pull/244.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/244"
} | This is a french binary sentiment classification dataset, which was used to train this model: https://huggingface.co/tblard/tf-allocine.
Basically, it's a french "IMDB" dataset, with more reviews.
More info on [this repo](https://github.com/TheophileBlard/french-sentiment-analysis-with-bert). | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/244/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/244/timeline | null | null | true | [
"great work @TheophileBlard ",
"LGTM, thanks a lot for adding dummy data tests :-) Was it difficult to create the correct dummy data folder? ",
"It was pretty easy actually. Documentation is on point !"
] |
https://api.github.com/repos/huggingface/datasets/issues/243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/243/comments | https://api.github.com/repos/huggingface/datasets/issues/243/events | https://github.com/huggingface/datasets/pull/243 | 631,735,848 | MDExOlB1bGxSZXF1ZXN0NDI4NTY2MTEy | 243 | Specify utf-8 encoding for GLUE | {
"avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4",
"events_url": "https://api.github.com/users/patpizio/events{/privacy}",
"followers_url": "https://api.github.com/users/patpizio/followers",
"following_url": "https://api.github.com/users/patpizio/following{/other_user}",
"gists_url": "https://api.github.com/users/patpizio/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patpizio",
"id": 15801338,
"login": "patpizio",
"node_id": "MDQ6VXNlcjE1ODAxMzM4",
"organizations_url": "https://api.github.com/users/patpizio/orgs",
"received_events_url": "https://api.github.com/users/patpizio/received_events",
"repos_url": "https://api.github.com/users/patpizio/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patpizio/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patpizio/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patpizio"
} | [] | closed | false | null | [] | null | 1 | 2020-06-05T16:33:00Z | 2020-06-17T21:16:06Z | 2020-06-08T08:42:01Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/243.diff",
"html_url": "https://github.com/huggingface/datasets/pull/243",
"merged_at": "2020-06-08T08:42:01Z",
"patch_url": "https://github.com/huggingface/datasets/pull/243.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/243"
} | #242
This makes the GLUE-MNLI dataset readable on my machine, not sure if it's a Windows-only bug. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/243/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/243/timeline | null | null | true | [
"Thanks for fixing the encoding :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/242/comments | https://api.github.com/repos/huggingface/datasets/issues/242/events | https://github.com/huggingface/datasets/issues/242 | 631,733,683 | MDU6SXNzdWU2MzE3MzM2ODM= | 242 | UnicodeDecodeError when downloading GLUE-MNLI | {
"avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4",
"events_url": "https://api.github.com/users/patpizio/events{/privacy}",
"followers_url": "https://api.github.com/users/patpizio/followers",
"following_url": "https://api.github.com/users/patpizio/following{/other_user}",
"gists_url": "https://api.github.com/users/patpizio/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patpizio",
"id": 15801338,
"login": "patpizio",
"node_id": "MDQ6VXNlcjE1ODAxMzM4",
"organizations_url": "https://api.github.com/users/patpizio/orgs",
"received_events_url": "https://api.github.com/users/patpizio/received_events",
"repos_url": "https://api.github.com/users/patpizio/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patpizio/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patpizio/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patpizio"
} | [] | closed | false | null | [] | null | 2 | 2020-06-05T16:30:01Z | 2020-06-09T16:06:47Z | 2020-06-08T08:45:03Z | CONTRIBUTOR | null | null | null | When I run
```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 iterable:
1130 yield obj
~\Miniconda3\envs\nlp\lib\site-packages\nlp\datasets\glue\5256cc2368cf84497abef1f1a5f66648522d5854b225162148cb8fc78a5a91cc\glue.py in _generate_examples(self, data_file, split, mrpc_files)
529
--> 530 for n, row in enumerate(reader):
531 if is_cola_non_test:
~\Miniconda3\envs\nlp\lib\csv.py in __next__(self)
110 self.fieldnames
--> 111 row = next(self.reader)
112 self.line_num = self.reader.line_num
~\Miniconda3\envs\nlp\lib\encodings\cp1252.py in decode(self, input, final)
22 def decode(self, input, final=False):
---> 23 return codecs.charmap_decode(input,self.errors,decoding_table)[0]
24
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 6744: character maps to <undefined>
```
Anyway this can be solved by specifying to decode in UTF when reading the csv file. I am proposing a PR if that's okay. | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/242/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/242/timeline | null | completed | false | [
"It should be good now, thanks for noticing and fixing it ! I would say that it was because you are on windows but not 100% sure",
"On Windows Python supports Unicode almost everywhere, but one of the notable exceptions is open() where it uses the locale encoding schema. So platform independent python scripts wou... |
https://api.github.com/repos/huggingface/datasets/issues/241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/241/comments | https://api.github.com/repos/huggingface/datasets/issues/241/events | https://github.com/huggingface/datasets/pull/241 | 631,703,079 | MDExOlB1bGxSZXF1ZXN0NDI4NTQwMDM0 | 241 | Fix empty cache dir | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [] | closed | false | null | [] | null | 2 | 2020-06-05T15:45:22Z | 2020-06-08T08:35:33Z | 2020-06-08T08:35:31Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/241.diff",
"html_url": "https://github.com/huggingface/datasets/pull/241",
"merged_at": "2020-06-08T08:35:31Z",
"patch_url": "https://github.com/huggingface/datasets/pull/241.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/241"
} | If the cache dir of a dataset is empty, the dataset fails to load and throws a FileNotFounfError. We could end up with empty cache dir because there was a line in the code that created the cache dir without using a temp dir. Using a temp dir is useful as it gets renamed to the real cache dir only if the full process is successful.
So I removed this bad line, and I also reordered things a bit to make sure that we always use a temp dir. I also added warning if we still end up with empty cache dirs in the future.
This should fix #239
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/241/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/241/timeline | null | null | true | [
"Looks great! Will this change force all cached datasets to be redownloaded? But even if it does, it shoud not be a big problem, I think",
"> Looks great! Will this change force all cached datasets to be redownloaded? But even if it does, it shoud not be a big problem, I think\r\n\r\nNo it shouldn't force to redo... |
https://api.github.com/repos/huggingface/datasets/issues/240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/240/comments | https://api.github.com/repos/huggingface/datasets/issues/240/events | https://github.com/huggingface/datasets/issues/240 | 631,434,677 | MDU6SXNzdWU2MzE0MzQ2Nzc= | 240 | Deterministic dataset loading | {
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patrickvonplaten",
"id": 23423619,
"login": "patrickvonplaten",
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patrickvonplaten"
} | [] | closed | false | null | [] | null | 4 | 2020-06-05T09:03:26Z | 2020-06-08T09:18:14Z | 2020-06-08T09:18:14Z | CONTRIBUTOR | null | null | null | When calling:
```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/blob/2e0a8639a79b1abc848cff5c669094d40bba0f63/datasets/trivia_qa/trivia_qa.py#L180
which seems to return an ordering of files that depends on the filesystem:
https://stackoverflow.com/questions/6773584/how-is-pythons-glob-glob-ordered
I think we should go through all the dataset scripts and make sure to have deterministic behavior.
A simple solution for `glob.glob()` would be to just replace it with `sorted(glob.glob())` to have everything sorted by name.
What do you think @lhoestq? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/240/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/240/timeline | null | completed | false | [
"Yes good point !",
"I think using `sorted(glob.glob())` would actually solve this problem. Can you think of other reasons why dataset loading might not be deterministic? @mariamabarham @yjernite @lhoestq @thomwolf . \r\n\r\nI can do a sweep through the dataset scripts and fix the glob.glob() if you guys are ok w... |
https://api.github.com/repos/huggingface/datasets/issues/239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/239/comments | https://api.github.com/repos/huggingface/datasets/issues/239/events | https://github.com/huggingface/datasets/issues/239 | 631,340,440 | MDU6SXNzdWU2MzEzNDA0NDA= | 239 | [Creating new dataset] Not found dataset_info.json | {
"avatar_url": "https://avatars.githubusercontent.com/u/17963619?v=4",
"events_url": "https://api.github.com/users/richarddwang/events{/privacy}",
"followers_url": "https://api.github.com/users/richarddwang/followers",
"following_url": "https://api.github.com/users/richarddwang/following{/other_user}",
"gists_url": "https://api.github.com/users/richarddwang/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/richarddwang",
"id": 17963619,
"login": "richarddwang",
"node_id": "MDQ6VXNlcjE3OTYzNjE5",
"organizations_url": "https://api.github.com/users/richarddwang/orgs",
"received_events_url": "https://api.github.com/users/richarddwang/received_events",
"repos_url": "https://api.github.com/users/richarddwang/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/richarddwang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/richarddwang/subscriptions",
"type": "User",
"url": "https://api.github.com/users/richarddwang"
} | [] | closed | false | {
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lhoestq",
"id": 42851186,
"login": "lhoestq",
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lhoestq"
} | [
{
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists... | null | 5 | 2020-06-05T06:15:04Z | 2020-06-07T13:01:04Z | 2020-06-07T13:01:04Z | CONTRIBUTOR | null | null | null | Hi, I am trying to create Toronto Book Corpus. #131
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 139795325778640 acquired on datasets/bookcorpus/bookcorpus.py.lock
INFO:nlp.load:Found main folder for dataset datasets/bookcorpus/bookcorpus.py at /home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/datasets/bookcorpus
INFO:nlp.load:Found specific version folder for dataset datasets/bookcorpus/bookcorpus.py at /home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/datasets/bookcorpus/8e84759446cf68d0b0deb3417e60cc331f30a3bbe58843de18a0f48e87d1efd9
INFO:nlp.load:Found script file from datasets/bookcorpus/bookcorpus.py to /home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/datasets/bookcorpus/8e84759446cf68d0b0deb3417e60cc331f30a3bbe58843de18a0f48e87d1efd9/bookcorpus.py
INFO:nlp.load:Couldn't find dataset infos file at datasets/bookcorpus/dataset_infos.json
INFO:nlp.load:Found metadata file for dataset datasets/bookcorpus/bookcorpus.py at /home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/datasets/bookcorpus/8e84759446cf68d0b0deb3417e60cc331f30a3bbe58843de18a0f48e87d1efd9/bookcorpus.json
INFO:filelock:Lock 139795325778640 released on datasets/bookcorpus/bookcorpus.py.lock
INFO:nlp.builder:Overwrite dataset info from restored data version.
INFO:nlp.info:Loading Dataset info from /home/yisiang/.cache/huggingface/datasets/book_corpus/plain_text/1.0.0
Traceback (most recent call last):
File "nlp-cli", line 37, in <module>
service.run()
File "/home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/commands/test.py", line 78, in run
builders.append(builder_cls(name=config.name, data_dir=self._data_dir))
File "/home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/builder.py", line 610, in __init__
super(GeneratorBasedBuilder, self).__init__(*args, **kwargs)
File "/home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/builder.py", line 152, in __init__
self.info = DatasetInfo.from_directory(self._cache_dir)
File "/home/yisiang/miniconda3/envs/ml/lib/python3.7/site-packages/nlp/info.py", line 157, in from_directory
with open(os.path.join(dataset_info_dir, DATASET_INFO_FILENAME), "r") as f:
FileNotFoundError: [Errno 2] No such file or directory: '/home/yisiang/.cache/huggingface/datasets/book_corpus/plain_text/1.0.0/dataset_info.json'
```
btw, `ls /home/yisiang/.cache/huggingface/datasets/book_corpus/plain_text/1.0.0/` show me nothing is in the directory.
I have also pushed the script to my fork [bookcorpus.py](https://github.com/richardyy1188/nlp/blob/bookcorpusdev/datasets/bookcorpus/bookcorpus.py).
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/239/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/239/timeline | null | completed | false | [
"I think you can just `rm` this directory and it should be good :)",
"@lhoestq - this seems to happen quite often (already the 2nd issue). Can we maybe delete this automatically?",
"Yes I have an idea of what's going on. I'm sure I can fix that",
"Hi, I rebase my local copy to `fix-empty-cache-dir`, and try t... |
https://api.github.com/repos/huggingface/datasets/issues/238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/238/comments | https://api.github.com/repos/huggingface/datasets/issues/238/events | https://github.com/huggingface/datasets/issues/238 | 631,260,143 | MDU6SXNzdWU2MzEyNjAxNDM= | 238 | [Metric] Bertscore : Warning : Empty candidate sentence; Setting recall to be 0. | {
"avatar_url": "https://avatars.githubusercontent.com/u/43774355?v=4",
"events_url": "https://api.github.com/users/astariul/events{/privacy}",
"followers_url": "https://api.github.com/users/astariul/followers",
"following_url": "https://api.github.com/users/astariul/following{/other_user}",
"gists_url": "https://api.github.com/users/astariul/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/astariul",
"id": 43774355,
"login": "astariul",
"node_id": "MDQ6VXNlcjQzNzc0MzU1",
"organizations_url": "https://api.github.com/users/astariul/orgs",
"received_events_url": "https://api.github.com/users/astariul/received_events",
"repos_url": "https://api.github.com/users/astariul/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/astariul/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/astariul/subscriptions",
"type": "User",
"url": "https://api.github.com/users/astariul"
} | [
{
"color": "25b21e",
"default": false,
"description": "A bug in a metric script",
"id": 2067393914,
"name": "metric bug",
"node_id": "MDU6TGFiZWwyMDY3MzkzOTE0",
"url": "https://api.github.com/repos/huggingface/datasets/labels/metric%20bug"
}
] | closed | false | null | [] | null | 1 | 2020-06-05T02:14:47Z | 2020-06-29T17:10:19Z | 2020-06-29T17:10:19Z | NONE | null | null | null | When running BERT-Score, I'm meeting this warning :
> 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 am I doing wrong / How can I hide this warning ?** | {
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/238/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/238/timeline | null | completed | false | [
"This print statement comes from the official implementation of bert_score (see [here](https://github.com/Tiiiger/bert_score/blob/master/bert_score/utils.py#L343)). The warning shows up only if the attention mask outputs no candidate.\r\nRight now we want to only use official code for metrics to have fair evaluatio... |
https://api.github.com/repos/huggingface/datasets/issues/237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/237/comments | https://api.github.com/repos/huggingface/datasets/issues/237/events | https://github.com/huggingface/datasets/issues/237 | 631,199,940 | MDU6SXNzdWU2MzExOTk5NDA= | 237 | Can't download MultiNLI | {
"avatar_url": "https://avatars.githubusercontent.com/u/15801338?v=4",
"events_url": "https://api.github.com/users/patpizio/events{/privacy}",
"followers_url": "https://api.github.com/users/patpizio/followers",
"following_url": "https://api.github.com/users/patpizio/following{/other_user}",
"gists_url": "https://api.github.com/users/patpizio/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/patpizio",
"id": 15801338,
"login": "patpizio",
"node_id": "MDQ6VXNlcjE1ODAxMzM4",
"organizations_url": "https://api.github.com/users/patpizio/orgs",
"received_events_url": "https://api.github.com/users/patpizio/received_events",
"repos_url": "https://api.github.com/users/patpizio/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/patpizio/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patpizio/subscriptions",
"type": "User",
"url": "https://api.github.com/users/patpizio"
} | [] | closed | false | null | [] | null | 3 | 2020-06-04T23:05:21Z | 2020-06-06T10:51:34Z | 2020-06-06T10:51:34Z | CONTRIBUTOR | null | null | null | When I try to download MultiNLI with
```python
dataset = load_dataset('multi_nli')
```
I get this long error:
```python
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-13-3b11f6be4cb9> in <module>
1 # Load a dataset and print the first examples in the training set
2 # nli_dataset = nlp.load_dataset('multi_nli')
----> 3 dataset = load_dataset('multi_nli')
4 # nli_dataset = nlp.load_dataset('multi_nli', split='validation_matched[:10%]')
5 # print(nli_dataset['train'][0])
~\Miniconda3\envs\nlp\lib\site-packages\nlp\load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
514
515 # Download and prepare data
--> 516 builder_instance.download_and_prepare(
517 download_config=download_config,
518 download_mode=download_mode,
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
417 with utils.temporary_assignment(self, "_cache_dir", tmp_data_dir):
418 verify_infos = not save_infos and not ignore_verifications
--> 419 self._download_and_prepare(
420 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
421 )
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
455 split_dict = SplitDict(dataset_name=self.name)
456 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs)
--> 457 split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
458 # Checksums verification
459 if verify_infos:
~\Miniconda3\envs\nlp\lib\site-packages\nlp\datasets\multi_nli\60774175381b9f3f1e6ae1028229e3cdb270d50379f45b9f2c01008f50f09e6b\multi_nli.py in _split_generators(self, dl_manager)
99 def _split_generators(self, dl_manager):
100
--> 101 downloaded_dir = dl_manager.download_and_extract(
102 "http://storage.googleapis.com/tfds-data/downloads/multi_nli/multinli_1.0.zip"
103 )
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\download_manager.py in download_and_extract(self, url_or_urls)
214 extracted_path(s): `str`, extracted paths of given URL(s).
215 """
--> 216 return self.extract(self.download(url_or_urls))
217
218 def get_recorded_sizes_checksums(self):
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\download_manager.py in extract(self, path_or_paths)
194 path_or_paths.
195 """
--> 196 return map_nested(
197 lambda path: cached_path(path, extract_compressed_file=True, force_extract=False), path_or_paths,
198 )
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\py_utils.py in map_nested(function, data_struct, dict_only, map_tuple)
168 return tuple(mapped)
169 # Singleton
--> 170 return function(data_struct)
171
172
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\download_manager.py in <lambda>(path)
195 """
196 return map_nested(
--> 197 lambda path: cached_path(path, extract_compressed_file=True, force_extract=False), path_or_paths,
198 )
199
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\file_utils.py in cached_path(url_or_filename, download_config, **download_kwargs)
231 if is_zipfile(output_path):
232 with ZipFile(output_path, "r") as zip_file:
--> 233 zip_file.extractall(output_path_extracted)
234 zip_file.close()
235 elif tarfile.is_tarfile(output_path):
~\Miniconda3\envs\nlp\lib\zipfile.py in extractall(self, path, members, pwd)
1644
1645 for zipinfo in members:
-> 1646 self._extract_member(zipinfo, path, pwd)
1647
1648 @classmethod
~\Miniconda3\envs\nlp\lib\zipfile.py in _extract_member(self, member, targetpath, pwd)
1698
1699 with self.open(member, pwd=pwd) as source, \
-> 1700 open(targetpath, "wb") as target:
1701 shutil.copyfileobj(source, target)
1702
OSError: [Errno 22] Invalid argument: 'C:\\Users\\Python\\.cache\\huggingface\\datasets\\3e12413b8ec69f22dfcfd54a79d1ba9e7aac2e18e334bbb6b81cca64fd16bffc\\multinli_1.0\\Icon\r'
```
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/237/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/237/timeline | null | completed | false | [
"You should use `load_dataset('glue', 'mnli')`",
"Thanks! I thought I had to use the same code displayed in the live viewer:\r\n```python\r\n!pip install nlp\r\nfrom nlp import load_dataset\r\ndataset = load_dataset('multi_nli', 'plain_text')\r\n```\r\nYour suggestion works, even if then I got a different issue (... |
https://api.github.com/repos/huggingface/datasets/issues/236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/236/comments | https://api.github.com/repos/huggingface/datasets/issues/236/events | https://github.com/huggingface/datasets/pull/236 | 631,099,875 | MDExOlB1bGxSZXF1ZXN0NDI4MDUwNzI4 | 236 | CompGuessWhat?! dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/1479733?v=4",
"events_url": "https://api.github.com/users/aleSuglia/events{/privacy}",
"followers_url": "https://api.github.com/users/aleSuglia/followers",
"following_url": "https://api.github.com/users/aleSuglia/following{/other_user}",
"gists_url": "https://api.github.com/users/aleSuglia/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/aleSuglia",
"id": 1479733,
"login": "aleSuglia",
"node_id": "MDQ6VXNlcjE0Nzk3MzM=",
"organizations_url": "https://api.github.com/users/aleSuglia/orgs",
"received_events_url": "https://api.github.com/users/aleSuglia/received_events",
"repos_url": "https://api.github.com/users/aleSuglia/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/aleSuglia/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/aleSuglia/subscriptions",
"type": "User",
"url": "https://api.github.com/users/aleSuglia"
} | [] | closed | false | null | [] | null | 9 | 2020-06-04T19:45:50Z | 2020-06-11T09:43:42Z | 2020-06-11T07:45:21Z | CONTRIBUTOR | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/236.diff",
"html_url": "https://github.com/huggingface/datasets/pull/236",
"merged_at": "2020-06-11T07:45:21Z",
"patch_url": "https://github.com/huggingface/datasets/pull/236.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/236"
} | Hello,
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 CompGuessWhat?! splits that have been extracted from the original dataset. This is only part of our evaluation framework because there is also an additional split of the dataset that has a completely different set of games. I didn't integrate it yet because I didn't know what would be the best practice in this case. Let me clarify the scenario.
In our paper, we have a main dataset (let's call it `compguesswhat-gameplay`) and a zero-shot dataset (let's call it `compguesswhat-zs-gameplay`). In the current code of the pull-request, I have only integrated `compguesswhat-gameplay`. I was thinking that it would be nice to have the `compguesswhat-zs-gameplay` in the same dataset class by simply specifying some particular option to the `nlp.load_dataset()` factory. For instance:
```python
cgw = nlp.load_dataset("compguesswhat")
cgw_zs = nlp.load_dataset("compguesswhat", zero_shot=True)
```
The other option would be to have a separate dataset class. Any preferences? | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/236/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/236/timeline | null | null | true | [
"Hi @aleSuglia, thanks for this great PR. Indeed you can have both datasets in one file. You need to add a config class which will allows you to specify the different subdataset names and then you will be able to load them as follow.\r\nnlp.load_dataset(\"compguesswhat\", \"compguesswhat-gameplay\") \r\nnlp.load_d... |
https://api.github.com/repos/huggingface/datasets/issues/235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/235/comments | https://api.github.com/repos/huggingface/datasets/issues/235/events | https://github.com/huggingface/datasets/pull/235 | 630,952,297 | MDExOlB1bGxSZXF1ZXN0NDI3OTM1MjQ0 | 235 | Add experimental datasets | {
"avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4",
"events_url": "https://api.github.com/users/yjernite/events{/privacy}",
"followers_url": "https://api.github.com/users/yjernite/followers",
"following_url": "https://api.github.com/users/yjernite/following{/other_user}",
"gists_url": "https://api.github.com/users/yjernite/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/yjernite",
"id": 10469459,
"login": "yjernite",
"node_id": "MDQ6VXNlcjEwNDY5NDU5",
"organizations_url": "https://api.github.com/users/yjernite/orgs",
"received_events_url": "https://api.github.com/users/yjernite/received_events",
"repos_url": "https://api.github.com/users/yjernite/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/yjernite/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yjernite/subscriptions",
"type": "User",
"url": "https://api.github.com/users/yjernite"
} | [] | closed | false | null | [] | null | 6 | 2020-06-04T15:54:56Z | 2020-06-12T15:38:55Z | 2020-06-12T15:38:55Z | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/235.diff",
"html_url": "https://github.com/huggingface/datasets/pull/235",
"merged_at": "2020-06-12T15:38:55Z",
"patch_url": "https://github.com/huggingface/datasets/pull/235.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/235"
} | ## Adding an *experimental datasets* folder
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 hard to share my work with the community.
My suggestion would be to add a **datasets\_experimental** folder so we can start making these new datasets public without having to completely re-think testing for every single one. We would allow contributors to submit dataset PRs in this folder, but require an explanation for why the current testing suite doesn't work for them. We can then aggregate the feedback and periodically see what's missing from the current tests.
I have added a **datasets\_experimental** folder to the repository and S3 bucket with two initial datasets: ELI5 (explainlikeimfive) and a Wikipedia Snippets dataset to support indexing (wiki\_snippets)
### ELI5
#### Dataset description
This allows people to download the [ELI5: Long Form Question Answering](https://arxiv.org/abs/1907.09190) dataset, along with two variants based on the r/askscience and r/AskHistorians. Full Reddit dumps for each month are downloaded from [pushshift](https://files.pushshift.io/reddit/), filtered for submissions and comments from the desired subreddits, then deleted one at a time to save space. The resulting dataset is split into a training, validation, and test dataset for r/explainlikeimfive, r/askscience, and r/AskHistorians respectively, where each item is a question along with all of its high scoring answers.
#### Issues with the current testing
1. the list of files to be downloaded is not pre-defined, but rather determined by parsing an index web page at run time. This is necessary as the name and compression type of the dump files changes from month to month as the pushshift website is maintained. Currently, the dummy folder requires the user to know which files will be downloaded.
2. to save time, the script works on the compressed files using the corresponding python packages rather than first running `download\_and\_extract` then filtering the extracted files.
### Wikipedia Snippets
#### Dataset description
This script creates a *snippets* version of a source Wikipedia dataset: each article is split into passages of fixed length which can then be indexed using ElasticSearch or a dense indexer. The script currently handles all **wikipedia** and **wiki40b** source datasets, and allows the user to choose the passage length and how much overlap they want across passages. In addition to the passage text, each snippet also has the article title, list of titles of sections covered by the text, and information to map the passage back to the initial dataset at the paragraph and character level.
#### Issues with the current testing
1. The DatasetBuilder needs to call `nlp.load_dataset()`. Currently, testing is not recursive (the test doesn't know where to find the dummy data for the source dataset)
| {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/235/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/235/timeline | null | null | true | [
"I think it would be nicer to not create a new folder `datasets_experimental` , but just put your datasets also into the folder `datasets` for the following reasons:\r\n\r\n- From my point of view, the datasets are not very different from the other datasets (assuming that we soon have C4, and the beam datasets) so ... |
https://api.github.com/repos/huggingface/datasets/issues/234 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/234/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/234/comments | https://api.github.com/repos/huggingface/datasets/issues/234/events | https://github.com/huggingface/datasets/issues/234 | 630,534,427 | MDU6SXNzdWU2MzA1MzQ0Mjc= | 234 | Huggingface NLP, Uploading custom dataset | {
"avatar_url": "https://avatars.githubusercontent.com/u/42269506?v=4",
"events_url": "https://api.github.com/users/Nouman97/events{/privacy}",
"followers_url": "https://api.github.com/users/Nouman97/followers",
"following_url": "https://api.github.com/users/Nouman97/following{/other_user}",
"gists_url": "https://api.github.com/users/Nouman97/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Nouman97",
"id": 42269506,
"login": "Nouman97",
"node_id": "MDQ6VXNlcjQyMjY5NTA2",
"organizations_url": "https://api.github.com/users/Nouman97/orgs",
"received_events_url": "https://api.github.com/users/Nouman97/received_events",
"repos_url": "https://api.github.com/users/Nouman97/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Nouman97/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Nouman97/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Nouman97"
} | [] | closed | false | null | [] | null | 4 | 2020-06-04T05:59:06Z | 2020-07-06T09:33:26Z | 2020-07-06T09:33:26Z | NONE | null | null | null | Hello,
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! | {
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/234/reactions"
} | https://api.github.com/repos/huggingface/datasets/issues/234/timeline | null | completed | false | [
"What do you mean 'custom' ? You may want to elaborate on it when ask a question.\r\n\r\nAnyway, there are two things you may interested\r\n`nlp.Dataset.from_file` and `load_dataset(..., cache_dir=)`",
"To load a dataset you need to have a script that defines the format of the examples, the splits and the way to ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.