---
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- en
license:
- agpl-3.0-or-later
multilinguality:
- monolingual
pretty_name: A Lot of NLI
size_categories:
- 100K<n<1M
source_datasets:
- snli
- multi_nli
- anli
task_categories:
- text-classification
task_ids:
- natural-language-inference
---

# Repo

Github Repo: [thamognya/TBertNLI](https://github.com/thamognya/TBertNLI) specifically in the [src/data directory](https://github.com/thamognya/TBertNLI/tree/master/src/data).

# Datsets Origin

As of now the marked datasets have been used to make this dataset and the other ones are todo

- [x] SNLI
- [x] MultiNLI
- SuperGLUE
- FEVER
- WIKI-FACTCHECK
- [x] ANLI
- more from huggingface

# Reasons

Just for finetuning of NLI models and purely made for NLI (not zero shot classification)