Create README.md

README.md

@@ -0,0 +1,125 @@
+# Dataset Card for [Kaggle MNLI]
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#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: [email protected]**
+
+### 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](https://github.com/<github-username>) for adding this dataset.