# snli by Stanford NLP: AI Training Dataset
Source: https://savrn.com/datasets/snli
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Dataset Card

By Stanford NLP, published under cc-by-sa-4.0, revision cdb5c3d5eed6.

### Dataset Card for SNLI

### 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://nlp.stanford.edu/projects/snli/
- Repository: [More Information Needed]
- Paper: https://aclanthology.org/D15-1075/
- Paper: https://arxiv.org/abs/1508.05326
- Leaderboard: https://nlp.stanford.edu/projects/snli/
- Point of Contact: Samuel Bowman
- Point of Contact: Gabor Angeli
- Point of Contact: Chris Manning

#### Dataset Summary

The SNLI corpus (version 1.0) is a collection of 570k human-written English sentence pairs manually labeled for balanced classification with the labels entailment, contradiction, and neutral, supporting the task of natural language inference (NLI), also known as recognizing textual entailment (RTE).

#### Supported Tasks and Leaderboards

[Read the full dataset card (1,826 words)](https://savrn.com/datasets/snli/card)

## Structure

### plain_text 570,152 rows

| Split | Rows | Size |
| --- | --- | --- |
| test | 10,000 | 1.3 MB |
| validation | 10,000 | 1.3 MB |
| train | 550,152 | 68.1 MB |

premisestringhypothesisstringlabelClassLabel

## Details

Repository

stanfordnlp/snli

Publisher

Stanford NLP

Task category

Text classification

Tags

Not stated by the source

Size category

100K<n<1M

Languages

en

Revision

cdb5c3d5eed6ead6e5a341c8e56e669bb666725b

Last updated

2024-03-06

## Files

5 files, 20.5 MB in total.

Data3 files · 20.4 MB

Documentation1 file · 16.0 KB

Repository1 file · 1.2 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| plain_text/test-00000-of-00001.parquet | Data | 411.5 KB | 4696deda851c |
| plain_text/train-00000-of-00001.parquet | Data | 19.6 MB | ef9a7b25d973 |
| plain_text/validation-00000-of-00001.parquet | Data | 413.2 KB | 00f5ed8deaed |
| README.md | Documentation | 16.0 KB | — |
| .gitattributes | Repository | 1.2 KB | — |

## License and Download

License

cc-by-sa-4.0

Access

No access gate

[Download from Stanford NLP](https://huggingface.co/datasets/stanfordnlp/snli)

Released by Stanford NLP through its official repository on Hugging Face. [Read the license](https://creativecommons.org/licenses/by-sa/4.0/).

## Models Trained on This Dataset

- Trained on (disclosed)[nli-deberta-v3-base](https://savrn.com/models/nli-deberta-v3-base)
- Trained on (disclosed)[nli-deberta-v3-small](https://savrn.com/models/nli-deberta-v3-small)
- Trained on (disclosed)[nli-MiniLM2-L6-H768](https://savrn.com/models/nli-minilm2-l6-h768)
- Trained on (disclosed)[nli-deberta-v3-xsmall](https://savrn.com/models/nli-deberta-v3-xsmall)
- Trained on (disclosed)[nli-deberta-v3-large](https://savrn.com/models/nli-deberta-v3-large)
- Trained on (disclosed)[nli-distilroberta-base](https://savrn.com/models/nli-distilroberta-base)
- Trained on (disclosed)[nli-roberta-base](https://savrn.com/models/nli-roberta-base)
- Trained on (disclosed)[nli-deberta-base](https://savrn.com/models/nli-deberta-base)
- Trained on (disclosed)[hopper](https://savrn.com/models/hopper)
- Trained on (disclosed)[multilingual-zeroshot-base](https://savrn.com/models/multilingual-zeroshot-base)
- Trained on (disclosed)[multilingual-zeroshot-small](https://savrn.com/models/multilingual-zeroshot-small)
- Trained on (disclosed)[simcse-bert-uncased-unsup](https://savrn.com/models/simcse-bert-uncased-unsup)
- Trained on (disclosed)[simcse-bert-base-snli-unsup](https://savrn.com/models/simcse-bert-base-snli-unsup)
- Trained on (disclosed)[bobcat-flash-1.2](https://savrn.com/models/bobcat-flash-1-2)

## Stanford NLP

[All models and datasets](https://savrn.com/model-publishers/stanfordnlp)

## Explore More

- [The dataset directory](https://savrn.com/datasets)
- [The model directory](https://savrn.com/models)
- [Research papers](https://savrn.com/papers)

## Source

- Repository metadata, read 2026-10-19.
- [Hugging Face record](https://huggingface.co/datasets/stanfordnlp/snli)
- [How the hub is built](https://savrn.com/model-hub/methodology)
