Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-input-text-classification
Languages:
Catalan
Size:
10K - 100K
License:
muxitox
commited on
Commit
·
e3dd34f
1
Parent(s):
f81cbed
Remove files to reload HF
Browse files- .gitattributes +0 -53
- README.md +0 -155
- dev.jsonl +0 -0
- test.jsonl +0 -0
- train.jsonl +0 -0
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README.md
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---
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annotations_creators:
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- CLiC-UB
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language_creators:
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- found
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language:
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- ca
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license:
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- cc-by-nc-nd-4.0
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multilinguality:
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- monolingual
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pretty_name: Parafraseja
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size_categories:
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- ?
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task_categories:
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- text-classification
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task_ids:
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- multi-input-text-classification
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---
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# Dataset Card for Parafraseja
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## Table of Contents
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- [Table of Contents](#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 and Leaderboards](#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-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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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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- [Contributions](#contributions)
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## Dataset Description
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- **Point of Contact:** [blanca.calvo@bsc.es](blanca.calvo@bsc.es)
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### Dataset Summary
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Parafraseja is a dataset of 21,984 pairs of sentences with a label that indicates if they are paraphrases or not. The original sentences were collected from [TE-ca](https://huggingface.co/datasets/projecte-aina/teca) and [STS-ca](https://huggingface.co/datasets/projecte-aina/sts-ca). For each sentence, an annotator wrote a sentence that was a paraphrase and another that was not. The guidelines of this annotation are available.
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### Supported Tasks and Leaderboards
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This dataset is mainly intended to train models for paraphrase detection.
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### Languages
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The dataset is in Catalan (`ca-CA`).
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## Dataset Structure
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The dataset consists of pairs of sentences labelled with "Parafrasis" or "No Parafrasis" in a jsonl format.
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### Data Instances
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<pre>
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{
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"id": "te1_14977_1",
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"source": "teca",
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"original": "La 2a part consta de 23 cap\u00edtols, cadascun dels quals descriu un ocell diferent.",
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"new": "La segona part consisteix en vint-i-tres cap\u00edtols, cada un dels quals descriu un ocell diferent.",
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"label": "Parafrasis"
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}
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</pre>
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### Data Fields
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- original: original sentence
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- new: new sentence, which could be a paraphrase or a non-paraphrase
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- label: relation between original and new
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### Data Splits
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* dev.json: 2,000 examples
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* test.json: 4,000 examples
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* train.json: 15,984 examples
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## Dataset Creation
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### Curation Rationale
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We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
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### Source Data
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The original sentences of this dataset came from the [STS-ca](https://huggingface.co/datasets/projecte-aina/sts-ca) and the [TE-ca](https://huggingface.co/datasets/projecte-aina/teca).
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#### Initial Data Collection and Normalization
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11,543 of the original sentences came from TE-ca, and 10,441 came from STS-ca.
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#### Who are the source language producers?
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TE-ca and STS-ca come from the [Catalan Textual Corpus](https://zenodo.org/record/4519349#.Y1Zs__uxXJF), which consists of several corpora gathered from web crawling and public corpora, and [Vilaweb](https://www.vilaweb.cat), a Catalan newswire.
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### Annotations
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The dataset is annotated with the label "Parafrasis" or "No Parafrasis" for each pair of sentences.
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#### Annotation process
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The annotation process was done by a single annotator and reviewed by another.
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#### Who are the annotators?
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The annotators were Catalan native speakers, with a background on linguistics.
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### Personal and Sensitive Information
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No personal or sensitive information included.
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## Considerations for Using the Data
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### Social Impact of Dataset
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We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
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### Discussion of Biases
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We are aware that this data might contain biases. We have not applied any steps to reduce their impact.
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### Other Known Limitations
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[N/A]
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## Additional Information
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### Dataset Curators
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Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es)
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This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
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### Licensing Information
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[Creative Commons Attribution Non-commercial No-Derivatives 4.0 International](https://creativecommons.org/licenses/by-nc-nd/4.0/).
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### Contributions
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[N/A]
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