# OpenThoughts-1k-sample by Ryan Marten: AI Training Dataset
Source: https://savrn.com/datasets/openthoughts-1k-sample
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Dataset Card

This is a 1k sample of the OpenThoughts-114k dataset. Open synthetic reasoning dataset with high-quality examples covering math, science, code, and puzzles! Inspect the content with rich formatting with Curator Viewer. default subset containing ready-to-train data used to finetune the OpenThinker-7B and OpenThinker-32B models: metadata subset containing extra columns used in dataset construction: - problem - groundtruthsolution - deepseekreasoning - deepseeksolution - domain - source - testcases (code only) - startercode(code only) The numbers reported in the tables below are evaluated with our open-source tool Evalchemy. We are fully open-source. Our model weights, datasets, data…

Excerpt from the card by Ryan Marten.

## Structure

### default 1,000 rows

| Split | Rows | Size |
| --- | --- | --- |
| train | 1,000 | 34.2 MB |

systemstringconversationslist

### metadata 1,000 rows

| Split | Rows | Size |
| --- | --- | --- |
| train | 1,000 | 28.0 MB |

problemstringdeepseek_reasoningstringdeepseek_solutionstringground_truth_solutionstringdomainstringsourcestringtest_casesstringstarter_codestring

## Details

Repository

ryanmarten/OpenThoughts-1k-sample

Publisher

Ryan Marten

Task category

Not stated by the source

Tags

Not stated by the source

Size category

Not stated by the source

Languages

Not stated by the source

Revision

a82400884621626d41bef89b7604f8054e7e00e0

Last updated

2025-08-31

## SAVRN's Notes on OpenThoughts-1k-sample

A smoke-test slice, honestly labeled: OpenThoughts-1k-sample is 2,000 rows across two configs, a 1,000-row default set with system and conversation columns plus a 1,000-row metadata config carrying problem, ground-truth and DeepSeek reasoning fields. It is 28.1 MB in 7 files with 1.3M monthly downloads. The card ties it to OpenThoughts-114k and to the OpenThinker-7B and OpenThinker-32B fine-tunes, and its revision is from 2025-08-31.

The license line is the problem: this page states no license at all, so despite the parent project's open-source claims you hold no documented rights for a commercial run until you verify terms on the upstream repo. Use it to validate a reasoning-data pipeline cheaply; production work needs the full 114k set, whose terms you would have to clear separately.

SAVRN Research

## Files

7 files, 28.1 MB in total.

Data2 files · 27.3 MB

Documentation1 file · 8.5 KB

Other3 files · 746.6 KB

Repository1 file · 2.5 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| data/train-00000-of-00001.parquet | Data | 14.0 MB | 32c296a2fb33 |
| metadata/train-00000-of-00001.parquet | Data | 13.3 MB | 235faa2830b5 |
| README.md | Documentation | 8.5 KB | — |
| diagram.png | Other | 471.6 KB | 04699a3588cf |
| diagram_dark.png | Other | 259.6 KB | 274c015b29dc |
| open_thoughts.png | Other | 15.3 KB | 36478f501f8a |
| .gitattributes | Repository | 2.5 KB | — |

## License and Download

License

Not stated by the source

Access

No access gate

[Download from Ryan Marten](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)

Released by Ryan Marten through its official repository on Hugging Face.

## Ryan Marten

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

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- [The dataset directory](https://savrn.com/datasets)
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## Source

- Repository metadata, read 2026-10-19.
- [Hugging Face record](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
- [How the hub is built](https://savrn.com/model-hub/methodology)