Duplicate from cardiffnlp/tweet_eval

Co-authored-by: Parquet-converter (BOT) <parquet-converter@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,1076 @@
+---
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- en
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 100K<n<1M
+- 10K<n<100K
+- 1K<n<10K
+- n<1K
+source_datasets:
+- extended|other-tweet-datasets
+task_categories:
+- text-classification
+task_ids:
+- intent-classification
+- multi-class-classification
+- sentiment-classification
+paperswithcode_id: tweeteval
+pretty_name: TweetEval
+config_names:
+- emoji
+- emotion
+- hate
+- irony
+- offensive
+- sentiment
+- stance_abortion
+- stance_atheism
+- stance_climate
+- stance_feminist
+- stance_hillary
+dataset_info:
+- config_name: emoji
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': ❤
+          '1': 😍
+          '2': 😂
+          '3': 💕
+          '4': 🔥
+          '5': 😊
+          '6': 😎
+          '7': ✨
+          '8': 💙
+          '9': 😘
+          '10': 📷
+          '11': 🇺🇸
+          '12': ☀
+          '13': 💜
+          '14': 😉
+          '15': 💯
+          '16': 😁
+          '17': 🎄
+          '18': 📸
+          '19': 😜
+  splits:
+  - name: train
+    num_bytes: 3803167
+    num_examples: 45000
+  - name: test
+    num_bytes: 4255901
+    num_examples: 50000
+  - name: validation
+    num_bytes: 396079
+    num_examples: 5000
+  download_size: 5939308
+  dataset_size: 8455147
+- config_name: emotion
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': anger
+          '1': joy
+          '2': optimism
+          '3': sadness
+  splits:
+  - name: train
+    num_bytes: 338871
+    num_examples: 3257
+  - name: test
+    num_bytes: 146645
+    num_examples: 1421
+  - name: validation
+    num_bytes: 38273
+    num_examples: 374
+  download_size: 367016
+  dataset_size: 523789
+- config_name: hate
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': non-hate
+          '1': hate
+  splits:
+  - name: train
+    num_bytes: 1223650
+    num_examples: 9000
+  - name: test
+    num_bytes: 428934
+    num_examples: 2970
+  - name: validation
+    num_bytes: 154144
+    num_examples: 1000
+  download_size: 1196346
+  dataset_size: 1806728
+- config_name: irony
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': non_irony
+          '1': irony
+  splits:
+  - name: train
+    num_bytes: 259187
+    num_examples: 2862
+  - name: test
+    num_bytes: 75897
+    num_examples: 784
+  - name: validation
+    num_bytes: 86017
+    num_examples: 955
+  download_size: 297647
+  dataset_size: 421101
+- config_name: offensive
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': non-offensive
+          '1': offensive
+  splits:
+  - name: train
+    num_bytes: 1648061
+    num_examples: 11916
+  - name: test
+    num_bytes: 135473
+    num_examples: 860
+  - name: validation
+    num_bytes: 192417
+    num_examples: 1324
+  download_size: 1234528
+  dataset_size: 1975951
+- config_name: sentiment
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': negative
+          '1': neutral
+          '2': positive
+  splits:
+  - name: train
+    num_bytes: 5425122
+    num_examples: 45615
+  - name: test
+    num_bytes: 1279540
+    num_examples: 12284
+  - name: validation
+    num_bytes: 239084
+    num_examples: 2000
+  download_size: 4849675
+  dataset_size: 6943746
+- config_name: stance_abortion
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': none
+          '1': against
+          '2': favor
+  splits:
+  - name: train
+    num_bytes: 68694
+    num_examples: 587
+  - name: test
+    num_bytes: 33171
+    num_examples: 280
+  - name: validation
+    num_bytes: 7657
+    num_examples: 66
+  download_size: 73517
+  dataset_size: 109522
+- config_name: stance_atheism
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': none
+          '1': against
+          '2': favor
+  splits:
+  - name: train
+    num_bytes: 54775
+    num_examples: 461
+  - name: test
+    num_bytes: 25716
+    num_examples: 220
+  - name: validation
+    num_bytes: 6320
+    num_examples: 52
+  download_size: 62265
+  dataset_size: 86811
+- config_name: stance_climate
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': none
+          '1': against
+          '2': favor
+  splits:
+  - name: train
+    num_bytes: 40249
+    num_examples: 355
+  - name: test
+    num_bytes: 19925
+    num_examples: 169
+  - name: validation
+    num_bytes: 4801
+    num_examples: 40
+  download_size: 48493
+  dataset_size: 64975
+- config_name: stance_feminist
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': none
+          '1': against
+          '2': favor
+  splits:
+  - name: train
+    num_bytes: 70509
+    num_examples: 597
+  - name: test
+    num_bytes: 33305
+    num_examples: 285
+  - name: validation
+    num_bytes: 8035
+    num_examples: 67
+  download_size: 76345
+  dataset_size: 111849
+- config_name: stance_hillary
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': none
+          '1': against
+          '2': favor
+  splits:
+  - name: train
+    num_bytes: 69596
+    num_examples: 620
+  - name: test
+    num_bytes: 34487
+    num_examples: 295
+  - name: validation
+    num_bytes: 7532
+    num_examples: 69
+  download_size: 74057
+  dataset_size: 111615
+configs:
+- config_name: emoji
+  data_files:
+  - split: train
+    path: emoji/train-*
+  - split: test
+    path: emoji/test-*
+  - split: validation
+    path: emoji/validation-*
+- config_name: emotion
+  data_files:
+  - split: train
+    path: emotion/train-*
+  - split: test
+    path: emotion/test-*
+  - split: validation
+    path: emotion/validation-*
+- config_name: hate
+  data_files:
+  - split: train
+    path: hate/train-*
+  - split: test
+    path: hate/test-*
+  - split: validation
+    path: hate/validation-*
+- config_name: irony
+  data_files:
+  - split: train
+    path: irony/train-*
+  - split: test
+    path: irony/test-*
+  - split: validation
+    path: irony/validation-*
+- config_name: offensive
+  data_files:
+  - split: train
+    path: offensive/train-*
+  - split: test
+    path: offensive/test-*
+  - split: validation
+    path: offensive/validation-*
+- config_name: sentiment
+  data_files:
+  - split: train
+    path: sentiment/train-*
+  - split: test
+    path: sentiment/test-*
+  - split: validation
+    path: sentiment/validation-*
+- config_name: stance_abortion
+  data_files:
+  - split: train
+    path: stance_abortion/train-*
+  - split: test
+    path: stance_abortion/test-*
+  - split: validation
+    path: stance_abortion/validation-*
+- config_name: stance_atheism
+  data_files:
+  - split: train
+    path: stance_atheism/train-*
+  - split: test
+    path: stance_atheism/test-*
+  - split: validation
+    path: stance_atheism/validation-*
+- config_name: stance_climate
+  data_files:
+  - split: train
+    path: stance_climate/train-*
+  - split: test
+    path: stance_climate/test-*
+  - split: validation
+    path: stance_climate/validation-*
+- config_name: stance_feminist
+  data_files:
+  - split: train
+    path: stance_feminist/train-*
+  - split: test
+    path: stance_feminist/test-*
+  - split: validation
+    path: stance_feminist/validation-*
+- config_name: stance_hillary
+  data_files:
+  - split: train
+    path: stance_hillary/train-*
+  - split: test
+    path: stance_hillary/test-*
+  - split: validation
+    path: stance_hillary/validation-*
+train-eval-index:
+- config: emotion
+  task: text-classification
+  task_id: multi_class_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    label: target
+  metrics:
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 macro
+    args:
+      average: macro
+  - type: f1
+    name: F1 micro
+    args:
+      average: micro
+  - type: f1
+    name: F1 weighted
+    args:
+      average: weighted
+  - type: precision
+    name: Precision macro
+    args:
+      average: macro
+  - type: precision
+    name: Precision micro
+    args:
+      average: micro
+  - type: precision
+    name: Precision weighted
+    args:
+      average: weighted
+  - type: recall
+    name: Recall macro
+    args:
+      average: macro
+  - type: recall
+    name: Recall micro
+    args:
+      average: micro
+  - type: recall
+    name: Recall weighted
+    args:
+      average: weighted
+- config: hate
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    label: target
+  metrics:
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 binary
+    args:
+      average: binary
+  - type: precision
+    name: Precision macro
+    args:
+      average: macro
+  - type: precision
+    name: Precision micro
+    args:
+      average: micro
+  - type: precision
+    name: Precision weighted
+    args:
+      average: weighted
+  - type: recall
+    name: Recall macro
+    args:
+      average: macro
+  - type: recall
+    name: Recall micro
+    args:
+      average: micro
+  - type: recall
+    name: Recall weighted
+    args:
+      average: weighted
+- config: irony
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    label: target
+  metrics:
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 binary
+    args:
+      average: binary
+  - type: precision
+    name: Precision macro
+    args:
+      average: macro
+  - type: precision
+    name: Precision micro
+    args:
+      average: micro
+  - type: precision
+    name: Precision weighted
+    args:
+      average: weighted
+  - type: recall
+    name: Recall macro
+    args:
+      average: macro
+  - type: recall
+    name: Recall micro
+    args:
+      average: micro
+  - type: recall
+    name: Recall weighted
+    args:
+      average: weighted
+- config: offensive
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    label: target
+  metrics:
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 binary
+    args:
+      average: binary
+  - type: precision
+    name: Precision macro
+    args:
+      average: macro
+  - type: precision
+    name: Precision micro
+    args:
+      average: micro
+  - type: precision
+    name: Precision weighted
+    args:
+      average: weighted
+  - type: recall
+    name: Recall macro
+    args:
+      average: macro
+  - type: recall
+    name: Recall micro
+    args:
+      average: micro
+  - type: recall
+    name: Recall weighted
+    args:
+      average: weighted
+- config: sentiment
+  task: text-classification
+  task_id: multi_class_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    label: target
+  metrics:
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 macro
+    args:
+      average: macro
+  - type: f1
+    name: F1 micro
+    args:
+      average: micro
+  - type: f1
+    name: F1 weighted
+    args:
+      average: weighted
+  - type: precision
+    name: Precision macro
+    args:
+      average: macro
+  - type: precision
+    name: Precision micro
+    args:
+      average: micro
+  - type: precision
+    name: Precision weighted
+    args:
+      average: weighted
+  - type: recall
+    name: Recall macro
+    args:
+      average: macro
+  - type: recall
+    name: Recall micro
+    args:
+      average: micro
+  - type: recall
+    name: Recall weighted
+    args:
+      average: weighted
+---
+
+# Dataset Card for tweet_eval
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [Needs More Information]
+- **Repository:** [GitHub](https://github.com/cardiffnlp/tweeteval)
+- **Paper:** [EMNLP Paper](https://arxiv.org/pdf/2010.12421.pdf)
+- **Leaderboard:** [GitHub Leaderboard](https://github.com/cardiffnlp/tweeteval)
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.
+
+### Supported Tasks and Leaderboards
+
+- `text_classification`: The dataset can be trained using a SentenceClassification model from HuggingFace transformers.
+
+### Languages
+
+The text in the dataset is in English, as spoken by Twitter users.
+
+## Dataset Structure
+
+### Data Instances
+
+An instance from `emoji` config:
+
+```
+{'label': 12, 'text': 'Sunday afternoon walking through Venice in the sun with @user ️ ️ ️ @ Abbot Kinney, Venice'}
+```
+
+An instance from `emotion` config:
+
+```
+{'label': 2, 'text': "“Worry is a down payment on a problem you may never have'. \xa0Joyce Meyer.  #motivation #leadership #worry"}
+```
+
+An instance from `hate` config:
+
+```
+{'label': 0, 'text': '@user nice new signage. Are you not concerned by Beatlemania -style hysterical crowds crongregating on you…'}
+```
+
+An instance from `irony` config:
+
+```
+{'label': 1, 'text': 'seeing ppl walking w/ crutches makes me really excited for the next 3 weeks of my life'}
+```
+
+An instance from `offensive` config:
+
+```
+{'label': 0, 'text': '@user Bono... who cares. Soon people will understand that they gain nothing from following a phony celebrity. Become a Leader of your people instead or help and support your fellow countrymen.'}
+```
+
+An instance from `sentiment` config:
+
+```
+{'label': 2, 'text': '"QT @user In the original draft of the 7th book, Remus Lupin survived the Battle of Hogwarts. #HappyBirthdayRemusLupin"'}
+```
+
+An instance from `stance_abortion` config:
+
+```
+{'label': 1, 'text': 'we remind ourselves that love means to be willing to give until it hurts - Mother Teresa'}
+```
+
+An instance from `stance_atheism` config:
+
+```
+{'label': 1, 'text': '@user Bless Almighty God, Almighty Holy Spirit and the Messiah. #SemST'}
+```
+
+An instance from `stance_climate` config:
+
+```
+{'label': 0, 'text': 'Why Is The Pope Upset?  via @user #UnzippedTruth #PopeFrancis #SemST'}
+```
+
+An instance from `stance_feminist` config:
+
+```
+{'label': 1, 'text': "@user @user is the UK's answer to @user and @user  #GamerGate #SemST"}
+```
+
+An instance from `stance_hillary` config:
+
+```
+{'label': 1, 'text': "If a man demanded staff to get him an ice tea he'd be called a sexists elitist pig.. Oink oink #Hillary #SemST"}
+```
+
+### Data Fields
+For `emoji` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: ❤
+
+    `1`: 😍
+
+    `2`: 😂
+
+    `3`: 💕
+
+    `4`: 🔥
+
+    `5`: 😊
+
+    `6`: 😎
+
+    `7`: ✨
+
+    `8`: 💙
+
+    `9`: 😘
+
+    `10`: 📷
+
+    `11`: 🇺🇸
+
+    `12`: ☀
+
+    `13`: 💜
+
+    `14`: 😉
+
+    `15`: 💯
+
+    `16`: 😁
+
+    `17`: 🎄
+
+    `18`: 📸
+
+    `19`: 😜
+
+For `emotion` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: anger
+
+    `1`: joy
+
+    `2`: optimism
+
+    `3`: sadness
+
+For `hate` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: non-hate
+
+    `1`: hate
+
+For `irony` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: non_irony
+
+    `1`: irony
+
+For `offensive` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: non-offensive
+
+    `1`: offensive
+
+For `sentiment` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: negative
+
+    `1`: neutral
+
+    `2`: positive
+
+For `stance_abortion` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_atheism` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_climate` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_feminist` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_hillary` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+
+
+### Data Splits
+
+| name            | train | validation | test  |
+| --------------- | ----- | ---------- | ----- |
+| emoji           | 45000 | 5000       | 50000 |
+| emotion         | 3257  | 374        | 1421  |
+| hate            | 9000  | 1000       | 2970  |
+| irony           | 2862  | 955        | 784   |
+| offensive       | 11916 | 1324       | 860   |
+| sentiment       | 45615 | 2000       | 12284 |
+| stance_abortion | 587   | 66         | 280   |
+| stance_atheism  | 461   | 52         | 220   |
+| stance_climate  | 355   | 40         | 169   |
+| stance_feminist | 597   | 67         | 285   |
+| stance_hillary  | 620   | 69         | 295   |
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+Francesco Barbieri, Jose Camacho-Collados, Luis Espiinosa-Anke and Leonardo Neves through Cardiff NLP.
+
+### Licensing Information
+
+This is not a single dataset, therefore each subset has its own license (the collection itself does not have additional restrictions).
+
+All of the datasets require complying with Twitter [Terms Of Service](https://twitter.com/tos) and Twitter API [Terms Of Service](https://developer.twitter.com/en/developer-terms/agreement-and-policy)
+
+Additionally the license are:
+- emoji: Undefined
+- emotion(EmoInt): Undefined
+- hate (HateEval): Need permission [here](http://hatespeech.di.unito.it/hateval.html)
+- irony: Undefined
+- Offensive: Undefined
+- Sentiment: [Creative Commons Attribution 3.0 Unported License](https://groups.google.com/g/semevaltweet/c/k5DDcvVb_Vo/m/zEOdECFyBQAJ)
+- Stance: Undefined
+
+
+### Citation Information
+
+```
+@inproceedings{barbieri2020tweeteval,
+title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},
+author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},
+booktitle={Proceedings of Findings of EMNLP},
+year={2020}
+}
+```
+
+If you use any of the TweetEval datasets, please cite their original publications:
+
+#### Emotion Recognition:
+```
+@inproceedings{mohammad2018semeval,
+  title={Semeval-2018 task 1: Affect in tweets},
+  author={Mohammad, Saif and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana},
+  booktitle={Proceedings of the 12th international workshop on semantic evaluation},
+  pages={1--17},
+  year={2018}
+}
+
+```
+#### Emoji Prediction:
+```
+@inproceedings{barbieri2018semeval,
+  title={Semeval 2018 task 2: Multilingual emoji prediction},
+  author={Barbieri, Francesco and Camacho-Collados, Jose and Ronzano, Francesco and Espinosa-Anke, Luis and
+    Ballesteros, Miguel and Basile, Valerio and Patti, Viviana and Saggion, Horacio},
+  booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation},
+  pages={24--33},
+  year={2018}
+}
+```
+
+#### Irony Detection:
+```
+@inproceedings{van2018semeval,
+  title={Semeval-2018 task 3: Irony detection in english tweets},
+  author={Van Hee, Cynthia and Lefever, Els and Hoste, V{\'e}ronique},
+  booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation},
+  pages={39--50},
+  year={2018}
+}
+```
+
+#### Hate Speech Detection:
+```
+@inproceedings{basile-etal-2019-semeval,
+    title = "{S}em{E}val-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in {T}witter",
+    author = "Basile, Valerio  and Bosco, Cristina  and Fersini, Elisabetta  and Nozza, Debora and Patti, Viviana and
+      Rangel Pardo, Francisco Manuel  and Rosso, Paolo  and Sanguinetti, Manuela",
+    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
+    year = "2019",
+    address = "Minneapolis, Minnesota, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/S19-2007",
+    doi = "10.18653/v1/S19-2007",
+    pages = "54--63"
+}
+```
+#### Offensive Language Identification:
+```
+@inproceedings{zampieri2019semeval,
+  title={SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)},
+  author={Zampieri, Marcos and Malmasi, Shervin and Nakov, Preslav and Rosenthal, Sara and Farra, Noura and Kumar, Ritesh},
+  booktitle={Proceedings of the 13th International Workshop on Semantic Evaluation},
+  pages={75--86},
+  year={2019}
+}
+```
+
+#### Sentiment Analysis:
+```
+@inproceedings{rosenthal2017semeval,
+  title={SemEval-2017 task 4: Sentiment analysis in Twitter},
+  author={Rosenthal, Sara and Farra, Noura and Nakov, Preslav},
+  booktitle={Proceedings of the 11th international workshop on semantic evaluation (SemEval-2017)},
+  pages={502--518},
+  year={2017}
+}
+```
+
+#### Stance Detection:
+```
+@inproceedings{mohammad2016semeval,
+  title={Semeval-2016 task 6: Detecting stance in tweets},
+  author={Mohammad, Saif and Kiritchenko, Svetlana and Sobhani, Parinaz and Zhu, Xiaodan and Cherry, Colin},
+  booktitle={Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)},
+  pages={31--41},
+  year={2016}
+}
+```
+
+### Contributions
+
+Thanks to [@gchhablani](https://github.com/gchhablani) and [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.

emoji/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95e248466f9153ba8ee6f990f0ad26c7d77520326d77e697aaf7e09df350e65d
+size 3047341

emoji/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4f587c86b7459b727ae1c84d39ca7fd42631e51d43cc3f95242dcd4c696077a
+size 2609973

emoji/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48f3d0140d19153a1a14e2940d62b63dcdfb24c4b958c65bd9ea1dfb777f391a
+size 281994

emotion/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:460be5e853577cad9e070549a3bb0eaecccfa277e07db69873fc8f46bd57299f
+size 105421

emotion/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:448fb3d7b94184ca25652d7361d82bbc50c20cd0d10a984ce3596a1aa7e1d75c
+size 233004

emotion/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20e78c12dc5a17c2011a708cc838b8b0251b87f624f71dbdd354a2e3857aab73
+size 28591

hate/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c07de83b04e013b956c66187e1fd454fadb6f4caacc23e11f5fb3f80ddc2abd2
+size 277846

hate/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da2c391c2050df2d90d3d9e7b8bca48a18056293138b5c6f08c7bf61c5b84668
+size 815722

hate/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7307944af6e873feb693a9c0853439af8d0543e571ae8a2c4cfc91e01016c68
+size 102778

irony/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6bcf4eae70637cacc9239773684a37cbfa3ef98fde5f173355651afee477862
+size 53984

irony/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:541de8c14f53024660fa5ae1534489b51106c5f4905da294e47ded7e09d73ad0
+size 182571

irony/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ac02a5943b02808f1998dfacba7fce89033be6b3e4bbb465a26faafabf21191
+size 61092

offensive/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15b87adaf1850d8e3e104be6240255813d48d776940be546ad353fee9fcfb099
+size 93731

offensive/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c2cb443cb5b956aa8578a6e18b2f9e50ce43217774e3cf171d53e16a1db81a3
+size 1019132

offensive/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1161b4e6cc7cbdaa667d4fc131f9be0ea3db755616126329dda7eb521cd88c36
+size 121665

sentiment/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f73aea52d43879223019e733b944780f7e9203ee32459ea006f554011379fcdf
+size 900553

sentiment/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:884ed7990ba4058aa78372f5f9590db308c393820545d9c4f2363f5a2ea12fbf
+size 3781982

sentiment/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba8e7513047d4991bcdcc0a22aaa70777e47b609f1b739da5117baf7893f3e56
+size 167140

stance_abortion/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c25f9b438767cbc25f143beac32f7ade213baa5c436be32733e0b718d1140f6
+size 22513

stance_abortion/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d90ce50ba5ed14d7600bc9ca919c2ac2b9f58141b80d63b96fa17027607bd20
+size 43712

stance_abortion/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8ac5a9696577bb1622b12bec44ac8222f26f2109cb6a2c0abc27305fa93bf56
+size 7292

stance_atheism/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b92549ee5a2d90448a1fac4ed509765e1b166abb91705e997a62a54e3606127c
+size 19358

stance_atheism/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d915d95b5a313db91f3737d095aa89db6b9e749c7838e00fe844ff5a6f98661
+size 36467

stance_atheism/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f10c1952169a56231bf2f4c9548e98843219311170fec4fe1fd4557cc1b85f9c
+size 6440

stance_climate/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cda4111271a268e0d2513d8effa704395f59ce2b8ece90f93e4a96d2c16dc8b9
+size 14897

stance_climate/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:248ba3695bba19f1fcef9c65421d81c65fa3a76570f1d7d3766872022e96b224
+size 28127

stance_climate/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f4d174e3f9f7c526b532409fa4ca59abd27d9eb35c03df4daa2e9e64366f8c5
+size 5469

stance_feminist/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2230a3e35acd62ace8d77aa6fd8731a724833d540f732a75fb6327f2cdf1e0ea
+size 23416

stance_feminist/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6ae1f6ee44c1e0ac0523bab6278febf8a62387305c24aad3ea9701868b81e1a
+size 45301

stance_feminist/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4bc15f3d903ba99da50a200e211e1506c8117378310f2fd54edb69d7d5d70493
+size 7628

stance_hillary/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62f0fcbf8356ce7df510365dae39c2928b7edf75e0576c09f5196f8483315d2a
+size 23516

stance_hillary/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61b7730fdffe10728554b85b3d36af454df6185fcebf214697215965a28dc364
+size 43297

stance_hillary/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:366e5594562feaadbfddf307b8d5940461fff70efd7654bcbee9dde0d8c32068
+size 7244