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README.md
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# MLSum-it, italian abstract summarization dataset
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###
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More
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languages:
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- it
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multilinguality:
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- monolingual
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size_categories:
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- 10K<n<100k
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task_categories:
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- summarization
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task_ids:
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- summarization
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---
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# Dataset Card for mlsum-it
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** [https://huggingface.co/datasets/mlsum]
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- **Repository:** [Needs More Information]
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- **Paper:** [Needs More Information]
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
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The MLSum-it dataset is the translated version (Helsinki-NLP/opus-mt-es-it) of the spanish portion of MLSum, containing news articles taken from BBC/mundo.
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More informations on the official dataset page [HuggingFace page](https://huggingface.co/datasets/mlsum).
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There are two features:
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- source: Input news article.
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- target: Summary of the article.
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### Supported Tasks and Leaderboards
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- `abstractive-summarization`, `summarization`
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### Languages
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The text in the dataset is in Italian
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## Dataset Structure
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### Data Instances
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[Needs More Information]
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### Data Fields
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[Needs More Information]
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### Data Splits
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[Needs More Information]
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## Dataset Creation
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### Curation Rationale
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[Needs More Information]
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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[Needs More Information]
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### Licensing Information
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[Needs More Information]
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### Citation Information
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[Needs More Information]
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