
# 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)


task_categories:text-classification task_ids:natural-language-inference annotations_creators:no-annotation language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:snli source_datasets:multi_nli source_datasets:anli language:en license:agpl-3.0 region:us
{"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["agpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["snli", "multi_nli", "anli"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"], "pretty_name": "A Lot of NLI", "viewer": true}
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-snli #source_datasets-multi_nli #source_datasets-anli #language-English #license-agpl-3.0 #region-us 


# Repo

Github Repo: thamognya/TBertNLI specifically in the src/data directory.

# Sample



# 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)


# Repo

Github Repo: thamognya/TBertNLI specifically in the src/data directory. # Sample # 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)
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-snli #source_datasets-multi_nli #source_datasets-anli #language-English #license-agpl-3.0 #region-us 
 # Repo

Github Repo: thamognya/TBertNLI specifically in the src/data directory. # Sample # 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)
passage: TAGS
#task_categories-text-classification #task_ids-natural-language-inference #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-snli #source_datasets-multi_nli #source_datasets-anli #language-English #license-agpl-3.0 #region-us 
# Repo

Github Repo: thamognya/TBertNLI specifically in the src/data directory.# Sample# 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)