Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
add dataset_info in dataset metadata
Browse files
README.md
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@@ -30,44 +30,69 @@ train-eval-index:
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verse_text: text
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label: target
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metrics:
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---
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# Dataset Card for Gutenberg Poem Dataset
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### Contributions
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Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.
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verse_text: text
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label: target
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metrics:
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- type: accuracy
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name: Accuracy
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- type: f1
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name: F1 macro
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args:
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average: macro
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- type: f1
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name: F1 micro
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args:
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average: micro
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- type: f1
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name: F1 weighted
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args:
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average: weighted
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- type: precision
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name: Precision macro
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args:
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average: macro
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- type: precision
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name: Precision micro
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args:
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average: micro
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- type: precision
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name: Precision weighted
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args:
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average: weighted
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- type: recall
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name: Recall macro
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args:
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average: macro
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- type: recall
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name: Recall micro
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args:
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average: micro
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- type: recall
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name: Recall weighted
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args:
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average: weighted
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dataset_info:
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features:
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- name: id
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dtype: int32
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- name: verse_text
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dtype: string
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- name: label
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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: positive
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2: no_impact
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splits:
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- name: test
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num_bytes: 5588
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num_examples: 104
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- name: train
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num_bytes: 48555
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num_examples: 892
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- name: validation
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num_bytes: 5788
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num_examples: 105
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download_size: 49870
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dataset_size: 59931
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---
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# Dataset Card for Gutenberg Poem Dataset
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### Contributions
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Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.
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