# commonsense_qa by Tel Aviv University: AI Training Dataset
Source: https://savrn.com/datasets/commonsense-qa
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Dataset Card

By Tel Aviv University, published under mit, revision 94630fe30dad.

### Dataset Card for "commonsense_qa"

### Table of Contents

- 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://www.tau-nlp.org/commonsenseqa
- Repository: https://github.com/jonathanherzig/commonsenseqa
- Paper: https://arxiv.org/abs/1811.00937
- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- Size of downloaded dataset files: 4.68 MB
- Size of the generated dataset: 2.18 MB
- Total amount of disk used: 6.86 MB

#### Dataset Summary

CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers. The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation split, and "Question token split", see paper for details.

[Read the full dataset card (505 words)](https://savrn.com/datasets/commonsense-qa/card)

## Structure

### default 12,102 rows

| Split | Rows | Size |
| --- | --- | --- |
| train | 9,741 | 2.2 MB |
| validation | 1,221 | 274.3 KB |
| test | 1,140 | 257.4 KB |

idstringquestionstringquestion_conceptstringchoicesSequenceanswerKeystring

## Details

Repository

tau/commonsense_qa

Publisher

Tel Aviv University

Task category

Question answering

Tags

Not stated by the source

Size category

1K<n<10K

Languages

en

Revision

94630fe30dad47192a8546eb75f094926d47e155

Last updated

2024-01-04

## SAVRN's Notes on commonsense_qa

CommonsenseQA from Tel Aviv University is a 12,102-question, five-way multiple-choice benchmark testing commonsense reasoning: one correct answer, four distractors, 1.6 MB in five files under the MIT license as recorded on the hub, downloaded 308.4k times a month and unchanged since January 2024. The kev-8b model on our hub discloses training on it, which is typical for a set this size — cheap, canonical, and easy to fold into instruction-tuning mixes.

That ubiquity is the risk: benchmark-overfit pressure is high on a 12,102-question set, so keep the official validation split untouched and report honestly. MIT makes this one of the cleanest small QA sets for commercial fine-tuning — no attribution choreography, no NC clause. Who should use it: anyone fine-tuning small models for multiple-choice commonsense, or building eval suites; who should not: teams needing factuality coverage beyond everyday reasoning.

SAVRN Research

## Files

5 files, 1.6 MB in total.

Data3 files · 1.6 MB

Documentation1 file · 7.4 KB

Repository1 file · 1.2 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| data/test-00000-of-00001.parquet | Data | 151.2 KB | 19efe93223d1 |
| data/train-00000-of-00001.parquet | Data | 1.2 MB | b0449767ed98 |
| data/validation-00000-of-00001.parquet | Data | 160.2 KB | bdbd9bf9cc4d |
| README.md | Documentation | 7.4 KB | — |
| .gitattributes | Repository | 1.2 KB | — |

## License and Download

License

mit

Access

No access gate

[Download from Tel Aviv University](https://huggingface.co/datasets/tau/commonsense_qa)

Released by Tel Aviv University through its official repository on Hugging Face. [Read the license](https://opensource.org/license/mit).

## Models Trained on This Dataset

- Trained on (disclosed)[shingi-27b](https://savrn.com/models/shingi-27b)
- Trained on (disclosed)[hopper](https://savrn.com/models/hopper)
- Trained on (disclosed)[kev-8b](https://savrn.com/models/kev-8b)

## Tel Aviv University

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

## 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/tau/commonsense_qa)
- [How the hub is built](https://savrn.com/model-hub/methodology)