README.md

Dataset Card for [Kaggle MNLI]

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• **Homepage: https://www.kaggle.com/c/multinli-matched-open-evaluation **
• **Repository: chrishuber/roberta-retrained-mlni **
• Paper: Inference Detection in NLP Using the MultiNLI and SNLI Datasets
• Leaderboard: 8
• Point of Contact: chrish@sfsu.edu

Dataset Summary

[These are the datasets posted to Kaggle for an inference detection NLP competition. Moving them here to use with Pytorch.]

Supported Tasks and Leaderboards

Provides train and validation data for sentence pairs with inference labels. [https://www.kaggle.com/competitions/multinli-matched-open-evaluation/leaderboard] [https://www.kaggle.com/competitions/multinli-mismatched-open-evaluation/leaderboard]

Languages

[JSON, Python]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[Reposted from https://www.kaggle.com/c/multinli-matched-open-evaluation and https://www.kaggle.com/c/multinli-mismatched-open-evaluation]

Source Data

Initial Data Collection and Normalization

[Please see the article at https://arxiv.org/abs/1704.05426 which discusses the creation of the MNLI dataset.]

Who are the source language producers?

[Please see the article at https://arxiv.org/abs/1704.05426 which discusses the creation of the MNLI dataset.]

Annotations

Annotation process

[Crowdsourcing using MechanicalTurk.]

Who are the annotators?

[MechanicalTurk users.]

Personal and Sensitive Information

[None.]

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

[Kaggle]

Licensing Information

[More Information Needed]

Citation Information

[https://www.kaggle.com/c/multinli-matched-open-evaluation] [https://www.kaggle.com/c/multinli-mismatched-open-evaluation]

Contributions

Thanks to @github-username for adding this dataset.