Datasets:
poem_sentiment

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- found
	language:
	- en
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- text-classification
	task_ids:
	- sentiment-classification
	paperswithcode_id: gutenberg-poem-dataset
	pretty_name: Gutenberg Poem Dataset
	dataset_info:
	features:
	- name: id
	dtype: int32
	- name: verse_text
	dtype: string
	- name: label
	dtype:
	class_label:
	names:
	'0': negative
	'1': positive
	'2': no_impact
	splits:
	- name: train
	num_bytes: 48555
	num_examples: 892
	- name: validation
	num_bytes: 5788
	num_examples: 105
	- name: test
	num_bytes: 5588
	num_examples: 104
	download_size: 49870
	dataset_size: 59931
	train-eval-index:
	- config: default
	task: text-classification
	task_id: multi_class_classification
	splits:
	train_split: train
	eval_split: test
	col_mapping:
	verse_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 Gutenberg Poem Dataset

	## 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: N/A
	- Repository: [GitHub](https://github.com/google-research-datasets/poem-sentiment)
	- Paper: [Investigating Societal Biases in a Poetry Composition System](https://arxiv.org/abs/2011.02686)
	- Leaderboard: N/A
	- Point of Contact: -

	### Dataset Summary

	Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg.
	This dataset can be used for tasks such as sentiment classification or style transfer for poems.

	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages

	The text in the dataset is in English (`en`).

	## Dataset Structure

	### Data Instances
	Example of one instance in the dataset.

	```{'id': 0, 'label': 2, 'verse_text': 'with pale blue berries. in these peaceful shades--'}```

	### Data Fields

	- `id`: index of the example
	- `verse_text`: The text of the poem verse
	- `label`: The sentiment label. Here
	- 0 = negative
	- 1 = positive
	- 2 = no impact
	- 3 = mixed (both negative and positive)
	> Note: The original dataset uses different label indices (negative = -1, no impact = 0, positive = 1)

	### Data Splits

	The dataset is split into a `train`, `validation`, and `test` split with the following sizes:

	\| \| train \| validation \| test \|
	\|--------------------\|------:\|-----------:\|-----:\|
	\| Number of examples \| 892 \| 105 \| 104 \|



	[More Information Needed]
	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	[More Information Needed]

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	[More Information Needed]

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	This work is licensed under a Creative Commons Attribution 4.0 International License

	### Citation Information

	```
	@misc{sheng2020investigating,
	title={Investigating Societal Biases in a Poetry Composition System},
	author={Emily Sheng and David Uthus},
	year={2020},
	eprint={2011.02686},
	archivePrefix={arXiv},
	primaryClass={cs.CL}
	}
	```

	### Contributions

	Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.