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Datasets:
community-datasets
/
per_sent

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K - 10K
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
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lhoestq HF Staff commited on
Commit
4ab1b02
·
1 Parent(s): 02dd924

add dataset_info in dataset metadata

Browse files
Files changed (1) hide show
  1. README.md +147 -1
README.md CHANGED
@@ -19,6 +19,152 @@ task_ids:
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  - sentiment-classification
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  paperswithcode_id: persent
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  pretty_name: PerSenT
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for PerSenT
@@ -193,4 +339,4 @@ Slightly Negative, Neutral, Slightly Positive, or Positive. We then combine the
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  ### Contributions
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- Thanks to [@jeromeku](https://github.com/jeromeku) for adding this dataset.
 
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  - sentiment-classification
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  paperswithcode_id: persent
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  pretty_name: PerSenT
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+ dataset_info:
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+ features:
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+ - name: DOCUMENT_INDEX
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+ dtype: int64
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+ - name: TITLE
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+ dtype: string
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+ - name: TARGET_ENTITY
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+ dtype: string
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+ - name: DOCUMENT
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+ dtype: string
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+ - name: MASKED_DOCUMENT
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+ dtype: string
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+ - name: TRUE_SENTIMENT
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph0
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph1
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph2
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph3
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph4
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph5
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph6
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph7
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph8
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph9
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph10
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph11
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+ dtype:
120
+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph12
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph13
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+ dtype:
134
+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ - name: Paragraph14
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
145
+ 2: Positive
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+ - name: Paragraph15
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+ dtype:
148
+ class_label:
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+ names:
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+ 0: Negative
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+ 1: Neutral
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+ 2: Positive
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+ splits:
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+ - name: test_fixed
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+ num_bytes: 3881800
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+ num_examples: 827
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+ - name: test_random
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+ num_bytes: 2629500
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+ num_examples: 579
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+ - name: train
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+ num_bytes: 14595163
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+ num_examples: 3355
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+ - name: validation
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+ num_bytes: 2322922
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+ num_examples: 578
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+ download_size: 23117196
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+ dataset_size: 23429385
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  ---
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  # Dataset Card for PerSenT
 
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  ### Contributions
341
 
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+ Thanks to [@jeromeku](https://github.com/jeromeku) for adding this dataset.