MattiaSangermano
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README.md
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---
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license: cc-by-nc-sa-4.0
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dataset_info:
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features:
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- name: headline
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dtype: string
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- name: full_text
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dtype: string
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- name: source
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dtype: string
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splits:
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- name: train
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num_bytes: 397400073
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num_examples: 127402
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- name: test
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num_bytes: 33550682
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num_examples: 10000
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download_size: 280794360
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dataset_size: 430950755
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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---
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license: cc-by-nc-sa-4.0
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dataset_info:
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features:
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- name: headline
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dtype: string
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- name: full_text
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dtype: string
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- name: source
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dtype: string
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splits:
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- name: train
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num_bytes: 397400073
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num_examples: 127402
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- name: test
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num_bytes: 33550682
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num_examples: 10000
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download_size: 280794360
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dataset_size: 430950755
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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task_categories:
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- text-classification
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- text-generation
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- text-retrieval
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- text2text-generation
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- sentence-similarity
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language:
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- it
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size_categories:
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- 100K<n<1M
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---
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# CHANGE-IT
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Disclaimer: This dataset is not the official CHANGE-IT repository from EVALITA. For the official dataset and more information, please visit the [EVALITA CHANGE-IT page](https://sites.google.com/view/change-it/home) or the [CHANGE-IT repository](https://github.com/michelecafagna26/CHANGE-IT).
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## Overview
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The CHANGE-IT dataset is designed for a style transfer task focused on headlines from Italian newspapers. The dataset comprises approximately 152,000 article-headline pairs sourced from two prominent Italian newspapers, la Repubblica (left-leaning) and Il Giornale (right-leaning). The data is equally split between the two sources, providing a balanced representation of differing political perspectives. For each article, both the headline and its corresponding article text are included.
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## Purpose
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The primary objective of the CHANGE-IT dataset is to facilitate research on style transfer between headlines from newspapers with opposing political orientations. Researchers are encouraged to transform headlines from Il Giornale to the style of la Repubblica and vice versa.
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## Data Fields
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- `headline`: The original headline of the newspaper.
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- `full_text`: The article full text associated to the respective headline.
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- `source`: The newspaper the sample is coming from, which can be either `repubblica` or `ilgiornale`.
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