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Table · dataset · 2022

Autoencoder Paraphrase Dataset (BERT, RoBERTa, Longformer)

Listed in Hugging Face Datasets

Dataset Card for Machine Paraphrase Dataset (MPC) Dataset

Description

Summary

The Autoencoder Paraphrase Corpus (APC) consists of ~200k examples of original, and paraphrases using three neural language models. It uses three models (BERT, RoBERTa, Longformer) on three source texts (Wikipedia, arXiv, student theses). The examples are aligned, i.e., we sample the same paragraphs for originals and paraphrased versions.

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How to use it You can load the dataset using the… See the full description on the dataset page: huggingface.co/datasets/jpwahle/autoencoder-paraphrase-dataset.

Links

Documentation and papers

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsjpwahle/autoencoder-paraphrase-dataset13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-generationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0