Dataset · Hugging Face

netpreme/coding_agent_traces

Name: coding_agent_traces
Creator: netpreme
License: mit
Keywords: license:mit, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us

We release coding agent traces using Claude Code for Opus ISL, OSL, ISL_new counts GPT-oss-120B ISL, OSL, ISL_new counts and their raw texts For Opus, only the locally saved files from the harness were used for analysis. Coding agents take multiple turns to carry out a task from the input prompt. To analyze the token distribution, two models were selected: Anthropic's Opus and OpenAI's gpt-oss-120B. The input sequence length (ISL), output sequence length (OSL) and the uncached, new input… See the full description on the dataset page: https://huggingface.co/datasets/netpreme/coding_agent_traces

View on Hugging FaceReport an issue

Author / organization	netpreme
License (as declared)	mit
Downloads	1K (as reported by Hugging Face)
Likes	3
Created	12 June 2026
Last updated at source	12 June 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/bc3f0212-d136-4158-9591-38b6d68783c7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.