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Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- README.md +26 -17
- dataset_infos.json +919 -1
- emoji/test-00000-of-00001.parquet +3 -0
- emoji/train-00000-of-00001.parquet +3 -0
- emoji/validation-00000-of-00001.parquet +3 -0
README.md
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- sentiment-classification
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paperswithcode_id: tweeteval
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pretty_name: TweetEval
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dataset_info:
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- config_name: emoji
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features:
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'19': π
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splits:
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- name: train
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num_bytes:
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num_examples: 45000
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- name: test
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num_examples: 50000
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- name: validation
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num_examples: 5000
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download_size:
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dataset_size:
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- config_name: emotion
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features:
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- name: text
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num_examples: 69
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download_size: 103745
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dataset_size: 111627
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train-eval-index:
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- config: emotion
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task: text-classification
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name: Recall weighted
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args:
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average: weighted
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config_names:
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- emoji
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- emotion
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- hate
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- irony
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- offensive
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- sentiment
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- stance_abortion
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- stance_atheism
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- stance_climate
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- stance_feminist
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- stance_hillary
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---
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# Dataset Card for tweet_eval
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- sentiment-classification
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paperswithcode_id: tweeteval
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pretty_name: TweetEval
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config_names:
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- emoji
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- emotion
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- hate
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- irony
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- offensive
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- sentiment
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- stance_abortion
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- stance_atheism
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- stance_climate
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- stance_feminist
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- stance_hillary
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dataset_info:
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- config_name: emoji
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features:
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'19': π
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splits:
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- name: train
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num_bytes: 3803167
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num_examples: 45000
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- name: test
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num_bytes: 4255901
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num_examples: 50000
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- name: validation
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num_bytes: 396079
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num_examples: 5000
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download_size: 5939308
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dataset_size: 8455147
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- config_name: emotion
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features:
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- name: text
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num_examples: 69
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download_size: 103745
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dataset_size: 111627
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configs:
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- config_name: emoji
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data_files:
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- split: train
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path: emoji/train-*
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- split: test
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path: emoji/test-*
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- split: validation
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path: emoji/validation-*
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train-eval-index:
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- config: emotion
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task: text-classification
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name: Recall weighted
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args:
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average: weighted
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---
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# Dataset Card for tweet_eval
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dataset_infos.json
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| 1 |
+
{
|
| 2 |
+
"emoji": {
|
| 3 |
+
"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. 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.\n",
|
| 4 |
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