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} | [] | closed | false | null | [] | null | 2 | 2020-12-04T22:36:38 | 2020-12-06T18:16:04 | 2020-12-06T18:16:04 | CONTRIBUTOR | null | This PR adds [JFLEG ](https://www.aclweb.org/anthology/E17-2037/), an English grammatical error correction benchmark.
The tests were successful on real data, although it would be great if I can get some guidance on the **dummy data**. Basically, **for each source sentence there are 4 possible gold standard target sentences**. The original dataset comprise files in a flat structure, labelled by split then by source/target (e.g., dev.src, dev.ref0, ..., dev.ref3). Not sure what is the best way of adding this.
I imagine I can treat each distinct source-target pair as its own split? But having so many copies of the source sentence feels redundant, and it would make it less convenient to end-users who might want to access multiple gold standard targets simultaneously. | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-04T22:26:59 | 2020-12-09T15:11:31 | 2020-12-09T09:32:34 | CONTRIBUTOR | null | Adds the Winograd Schema Challenge, including configs for the more canonical wsc273 as well as wsc285 with 12 new examples.
- https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html
The data format was a bit of a nightmare but I think I got it to a workable format. | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-04T20:55:27 | 2020-12-07T03:27:23 | 2020-12-07T03:27:23 | CONTRIBUTOR | null | Added Urdu Sentiment Corpus. More details about the dataset over <a href="https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus">here</a>. | {
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The original data is hosted [on this github repo](https://github.com/Elbria/xling-SemDiv) and we use the `REFreSD_rationale` to expose all the data.
Need feedback on:
- I couldn't generate the dummy data. The file we download is a tsv file, but without extension, I suppose this is the problem. I'm sure there is a simple trick to make this work.
- The feature names.
- I don't know if it's better to stick to the classic `sentence1`, `sentence2` or to `sentence_en`, `sentence_fr` to be more explicit.
- There is a binary label (called `label`, no problem here), and a 3-class label called `#3_labels` in the original tsv. I changed it to `all_labels` but I'm sure there is better.
- The rationales are lists of integers, extracted as a string at first. I wonder what's the best way to treat them, any idea? Also, I couldn't manage to make a `Sequence` of `int8` but I'm sure I've missed something simple.
Thanks in advance | {
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Note that I copied the tags in the README for only one (of the 7 configurations): `en-de`.
There is one configuration for each pair of languages. | {
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https://api.github.com/repos/huggingface/datasets/issues/1135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1135/comments | https://api.github.com/repos/huggingface/datasets/issues/1135/events | https://github.com/huggingface/datasets/pull/1135 | 757,325,741 | MDExOlB1bGxSZXF1ZXN0NTMyNzIxMDIz | 1,135 | added paws | {
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https://api.github.com/repos/huggingface/datasets/issues/1132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1132/comments | https://api.github.com/repos/huggingface/datasets/issues/1132/events | https://github.com/huggingface/datasets/pull/1132 | 757,301,368 | MDExOlB1bGxSZXF1ZXN0NTMyNzAwNTY5 | 1,132 | Add Urdu Sentiment Corpus (USC). | {
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https://api.github.com/repos/huggingface/datasets/issues/1130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1130/comments | https://api.github.com/repos/huggingface/datasets/issues/1130/events | https://github.com/huggingface/datasets/pull/1130 | 757,265,075 | MDExOlB1bGxSZXF1ZXN0NTMyNjY5ODY0 | 1,130 | adding discovery | {
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https://api.github.com/repos/huggingface/datasets/issues/1129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1129/comments | https://api.github.com/repos/huggingface/datasets/issues/1129/events | https://github.com/huggingface/datasets/pull/1129 | 757,255,492 | MDExOlB1bGxSZXF1ZXN0NTMyNjYxNzM2 | 1,129 | Adding initial version of cord-19 dataset | {
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### Checklist:
- [x] Create the dataset script /datasets/my_dataset/my_dataset.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _infos(), _split_generators() and _generate_examples()
- [x] Make sure that the BUILDER_CONFIGS class attribute is filled with the different configurations of the dataset and that the BUILDER_CONFIG_CLASS is specified if there is a custom config class.
- [x] Generate the metadata file dataset_infos.json for all configurations
- [x] Generate the dummy data dummy_data.zip files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card README.md using the template and at least fill the tags
- [x] Both tests for the real data and the dummy data pass.
### TODO:
- [x] add more metadata
- [x] add full text
- [x] add pre-computed document embedding | {
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Samples are taken from ParlAI for consistency with the main users at the moment.
Supersede #945 (problem with the rebase) and adresses the issues mentioned in the review (dummy data are smaller now and code comments are fixed). | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-04T14:26:18 | 2020-12-04T15:47:01 | 2020-12-04T15:46:51 | CONTRIBUTOR | null | Arabic Vocalized Words Dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1117/comments | https://api.github.com/repos/huggingface/datasets/issues/1117/events | https://github.com/huggingface/datasets/pull/1117 | 757,133,789 | MDExOlB1bGxSZXF1ZXN0NTMyNTYwNzM4 | 1,117 | Fix incorrect MRQA train+SQuAD URL | {
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} | [] | closed | false | null | [] | null | 5 | 2020-12-04T14:13:59 | 2020-12-07T10:06:54 | 2020-12-05T15:36:23 | CONTRIBUTOR | null | This dataset corresponds to the DBpedia dataset requested in https://github.com/huggingface/datasets/issues/353. | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-04T14:05:24 | 2020-12-06T17:14:22 | 2020-12-06T17:14:22 | CONTRIBUTOR | null | https://github.com/huggingface/datasets/blob/4ef4c8f8b7a60e35c6fa21115fca9faae91c9f74/datasets/mrqa/mrqa.py#L53
The URL for `train+SQuAD` subset of MRQA points to the dev set instead of train set. It should be `https://s3.us-east-2.amazonaws.com/mrqa/release/v2/train/SQuAD.jsonl.gz`. | {
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https://api.github.com/repos/huggingface/datasets/issues/1114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1114/comments | https://api.github.com/repos/huggingface/datasets/issues/1114/events | https://github.com/huggingface/datasets/pull/1114 | 757,123,638 | MDExOlB1bGxSZXF1ZXN0NTMyNTUyMjE1 | 1,114 | Add sesotho ner corpus | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-04T13:59:41 | 2020-12-04T15:02:07 | 2020-12-04T15:02:07 | CONTRIBUTOR | null | Clean Sesotho PR | {
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https://api.github.com/repos/huggingface/datasets/issues/1113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1113/comments | https://api.github.com/repos/huggingface/datasets/issues/1113/events | https://github.com/huggingface/datasets/pull/1113 | 757,115,557 | MDExOlB1bGxSZXF1ZXN0NTMyNTQ1Mzg2 | 1,113 | add qed | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-04T13:47:57 | 2020-12-05T15:46:21 | 2020-12-05T15:41:57 | MEMBER | null | adding QED: Dataset for Explanations in Question Answering
https://github.com/google-research-datasets/QED
https://arxiv.org/abs/2009.06354 | {
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### Checklist:
- [x] Create the dataset script /datasets/my_dataset/my_dataset.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _infos(), _split_generators() and _generate_examples()
- [x] Make sure that the BUILDER_CONFIGS class attribute is filled with the different configurations of the dataset and that the BUILDER_CONFIG_CLASS is specified if there is a custom config class.
- [x] Generate the metadata file dataset_infos.json for all configurations
- [x] Generate the dummy data dummy_data.zip files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card README.md using the template and at least fill the tags
- [ ] Both tests for the real data and the dummy data pass.
### TODO:
- [ ] add more metadata
- [ ] add full text
- [ ] add pre-computed document embedding | {
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```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"_type": ["whatever"]}).map()
concatenate_datasets([ds])
# or simply
Dataset(ds._data)
```
Context: We are using datasets to persist data coming from elasticsearch to feed to our pipeline, and elasticsearch has a `_type` field, hence the strange name of the column.
Not sure if you wish to support this specific column name, but if you do i would be happy to try a fix and provide a PR. I already had a look into it and i think the culprit is the `datasets.features.generate_from_dict` function. It uses the hard coded `_type` string to figure out if it reached the end of the nested feature object from a serialized dict.
Best wishes and keep up the awesome work! | {
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https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz
https://arxiv.org/abs/1604.04562 | {
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Paper: [ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets](https://arxiv.org/abs/1906.01830)
Homepage: http://oma-project.com/ | {
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* There's another raw version of the dataset available from tfds. However, they're quite large so I don't have the resources to fully test all the configs for that version yet. We'll try to add it later. | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-04T01:28:11 | 2020-12-04T15:04:02 | 2020-12-04T15:04:02 | CONTRIBUTOR | null | - **Name:** *Cyberbullying Detection Task*
- **Description:** *The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.*
- **Data:** *https://github.com/ptaszynski/cyberbullying-Polish*
- **Motivation:** *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.* | {
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WIP
TODO:
- scenario_kbs (bug with pyarrow conversion)
- download from codalab checksums bug | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-04T00:10:05 | 2020-12-04T10:41:26 | 2020-12-04T10:41:26 | CONTRIBUTOR | null | - **Name**: *cdsc (domains: cdsc-e & cdsc-r)*
- **Description**: *Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.*
- **Data**: *http://2019.poleval.pl/index.php/tasks/*
- **Motivation**: *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.* | {
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`multilingual` configs have all languages mixed together
`crosslingual` mixes the languages for test but separates them for train and dec, so I've made one config per language for train/dev data and one config with the joint test set | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-03T23:39:00 | 2020-12-04T10:13:38 | 2020-12-04T10:13:38 | CONTRIBUTOR | null | Add news topic classification dataset in Myanmar / Burmese languagess
This data was collected in 2017 by Aye Hninn Khine , and published on GitHub with a GPL license
https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem
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- Webpage/repo: https://github.com/google-research-datasets/KELM-corpus
- Paper: https://arxiv.org/pdf/2010.12688.pdf | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-03T23:09:24 | 2020-12-06T17:18:55 | 2020-12-06T17:18:55 | MEMBER | null | This PR adds the full set of 176 languages from the balanced train/dev/test splits of WikiANN / PAN-X from: https://github.com/afshinrahimi/mmner
Until now, only 40 of these languages were available in `datasets` as part of the XTREME benchmark
Courtesy of the dataset author, we can now download this dataset from a Dropbox URL without needing a manual download anymore 🥳, so at some point it would be worth updating the PAN-X subset of XTREME as well 😄
Link to gist with some snippets for producing dummy data: https://gist.github.com/lewtun/5b93294ab6dbcf59d1493dbe2cfd6bb9
P.S. @yjernite I think I was confused about needing to generate a set of YAML tags per config, so ended up just adding a single one in the README. | {
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- **Description:** *The NKJP-NER is based on a human-annotated part of NKJP. We extracted sentences with named entities of exactly one type. The task is to predict the type of the named entity.*
- **Data:** *https://klejbenchmark.com/tasks/*
- **Motivation:** *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.*
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I linearized most of the dictionnaries to lists.
Referenced to the authors' datasheet for the dataset card.
🦆🦆🦆
Coin coin | {
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- All tests passed successfully. | {
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] | closed | false | null | [] | null | 2 | 2020-12-03T17:04:43 | 2021-01-14T02:51:25 | 2021-01-14T02:51:25 | CONTRIBUTOR | null | I have an issue adding this download link https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz
it might be because it is not a direct link (it returns 302 and redirects to aws that returns 403 for head requests).
```
r.head("https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz", allow_redirects=True)
# <Response [403]>
``` | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-03T16:52:39 | 2020-12-04T11:05:19 | 2020-12-04T11:05:19 | CONTRIBUTOR | null | Added Korean NLU datasets. The link to the dataset can be found [here](https://github.com/kakaobrain/KorNLUDatasets) and the paper can be found [here](https://arxiv.org/abs/2004.03289)
**Note**: The MNLI tsv file is broken, so this code currently excludes the file. Please suggest other alternative if any @lhoestq
- [x] Followed the instructions in CONTRIBUTING.md
- [x] Ran the tests successfully
- [x] Created the dummy data | {
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https://api.github.com/repos/huggingface/datasets/issues/1061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1061/comments | https://api.github.com/repos/huggingface/datasets/issues/1061/events | https://github.com/huggingface/datasets/pull/1061 | 756,362,661 | MDExOlB1bGxSZXF1ZXN0NTMxOTE5ODA0 | 1,061 | add labr dataset | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-03T16:38:57 | 2020-12-03T18:25:44 | 2020-12-03T18:25:44 | CONTRIBUTOR | null | Arabic Book Reviews dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1060/comments | https://api.github.com/repos/huggingface/datasets/issues/1060/events | https://github.com/huggingface/datasets/pull/1060 | 756,349,001 | MDExOlB1bGxSZXF1ZXN0NTMxOTA4MTgx | 1,060 | Fix squad V2 metric script | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-03T16:23:32 | 2020-12-22T15:02:20 | 2020-12-22T15:02:19 | MEMBER | null | The current squad v2 metric doesn't work with the squad (v1 or v2) datasets. The script is copied from `squad_evaluate` in transformers that requires the labels (with multiple answers) to be like this:
```
references = [{'id': 'a', 'answers': [
{'text': 'Denver Broncos', 'answer_start': 177},
{'text': 'Denver Broncos', 'answer_start': 177}
]}]
```
while the dataset had references like this:
```
references = [{'id': 'a', 'answers':
{'text': ['Denver Broncos' 'Denver Broncos'], 'answer_start': [177, 177]}
}]
```
Using one or the other format fails with the current squad v2 metric:
```
from datasets import load_metric
metric = load_metric("squad_v2")
predictions = [{'id': 'a', 'prediction_text': 'Denver Broncos', 'no_answer_probability': 0.0}]
references = [{'id': 'a', 'answers': [
{'text': 'Denver Broncos', 'answer_start': 177},
{'text': 'Denver Broncos', 'answer_start': 177}
]}]
metric.compute(predictions=predictions, references=references)
```
fails as well as
```
from datasets import load_metric
metric = load_metric("squad_v2")
predictions = [{'id': 'a', 'prediction_text': 'Denver Broncos', 'no_answer_probability': 0.0}]
references = [{'id': 'a', 'answers':
{'text': ['Denver Broncos' 'Denver Broncos'], 'answer_start': [177, 177]}
}]
metric.compute(predictions=predictions, references=references)
```
This is because arrow reformats the references behind the scene.
With this PR (tested locally), both the snippets up there work and return proper results. | {
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https://api.github.com/repos/huggingface/datasets/issues/1059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1059/comments | https://api.github.com/repos/huggingface/datasets/issues/1059/events | https://github.com/huggingface/datasets/pull/1059 | 756,348,623 | MDExOlB1bGxSZXF1ZXN0NTMxOTA3ODYy | 1,059 | Add TLC | {
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} | [] | closed | false | null | [] | null | 3 | 2020-12-03T16:23:06 | 2020-12-04T11:15:33 | 2020-12-04T11:15:33 | CONTRIBUTOR | null | Added TLC dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1058/comments | https://api.github.com/repos/huggingface/datasets/issues/1058/events | https://github.com/huggingface/datasets/pull/1058 | 756,332,704 | MDExOlB1bGxSZXF1ZXN0NTMxODk0Mjc0 | 1,058 | added paws-x dataset | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-03T16:06:01 | 2020-12-04T13:46:05 | 2020-12-04T13:46:05 | CONTRIBUTOR | null | Added paws-x dataset. Updating README and tags in the dataset card in a while | {
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https://api.github.com/repos/huggingface/datasets/issues/1057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1057/comments | https://api.github.com/repos/huggingface/datasets/issues/1057/events | https://github.com/huggingface/datasets/pull/1057 | 756,331,419 | MDExOlB1bGxSZXF1ZXN0NTMxODkzMjE4 | 1,057 | Adding TamilMixSentiment | {
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https://api.github.com/repos/huggingface/datasets/issues/1056 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1056/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1056/comments | https://api.github.com/repos/huggingface/datasets/issues/1056/events | https://github.com/huggingface/datasets/pull/1056 | 756,309,828 | MDExOlB1bGxSZXF1ZXN0NTMxODc1MjA2 | 1,056 | Add deal_or_no_dialog | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-03T15:38:07 | 2020-12-03T18:13:45 | 2020-12-03T18:13:45 | CONTRIBUTOR | null | Add deal_or_no_dialog Dataset
github: https://github.com/facebookresearch/end-to-end-negotiator
Paper: [Deal or No Deal? End-to-End Learning for Negotiation Dialogues](https://arxiv.org/abs/1706.05125) | {
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https://api.github.com/repos/huggingface/datasets/issues/1055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1055/comments | https://api.github.com/repos/huggingface/datasets/issues/1055/events | https://github.com/huggingface/datasets/pull/1055 | 756,298,372 | MDExOlB1bGxSZXF1ZXN0NTMxODY1NjM4 | 1,055 | Add hebrew-sentiment | {
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} | [] | closed | false | null | [] | null | 4 | 2020-12-03T15:24:31 | 2022-02-21T15:26:05 | 2020-12-04T11:24:16 | CONTRIBUTOR | null | hebrew-sentiment dataset is ready! (including tests, tags etc) | {
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https://api.github.com/repos/huggingface/datasets/issues/1054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1054/comments | https://api.github.com/repos/huggingface/datasets/issues/1054/events | https://github.com/huggingface/datasets/pull/1054 | 756,265,688 | MDExOlB1bGxSZXF1ZXN0NTMxODM3NzQ0 | 1,054 | Add dataset - SemEval 2014 - Task 1 | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-03T14:52:59 | 2020-12-04T00:52:44 | 2020-12-04T00:52:44 | CONTRIBUTOR | null | Adding the dataset of SemEval 2014 Task 1
Found the dataset under the shared Google Sheet > Recurring Task Datasets
Task Homepage - https://alt.qcri.org/semeval2014/task1
Thank you! | {
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