Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
English
Size:
100K<n<1M
License:
File size: 1,420 Bytes
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---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- agpl-3.0
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
viewer: true
---
# 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).
# Sample
``` premise hypothesis label
0 this church choir sings to the masses as they ... the church is filled with song 0
1 this church choir sings to the masses as they ... a choir singing at a baseball game 2
2 a woman with a green headscarf blue shirt and ... the woman is young 1
3 a woman with a green headscarf blue shirt and ... the woman is very happy 0
4 a woman with a green headscarf blue shirt and ... the woman has been shot 2
```
# 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)
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