langsmith-dataset▌
langchain-ai/langsmith-skills · updated Apr 8, 2026
Create, manage, and upload evaluation datasets to LangSmith for testing and validation.
- ›Supports four dataset types: final_response (full conversations), single_step (individual node behavior), trajectory (tool call sequences), and RAG (question/chunks/answer/citations)
- ›CLI commands for dataset lifecycle management: create, list, get, delete, export, and upload from local JSON files
- ›SDK-based dataset creation in Python and JavaScript with programmatic example addition
- ›Example mana
langsmith-dataset
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Discussion
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Ratings
4.7★★★★★49 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
We added langsmith-dataset from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Benjamin Choi· Dec 20, 2024
Registry listing for langsmith-dataset matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yuki Smith· Dec 16, 2024
langsmith-dataset reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yuki Thomas· Dec 16, 2024
langsmith-dataset fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Sethi· Nov 11, 2024
langsmith-dataset reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hiroshi Khan· Nov 7, 2024
Registry listing for langsmith-dataset matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ava Ndlovu· Nov 7, 2024
I recommend langsmith-dataset for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yuki Anderson· Oct 26, 2024
langsmith-dataset fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Rahman· Oct 26, 2024
langsmith-dataset reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Evelyn Bhatia· Oct 2, 2024
I recommend langsmith-dataset for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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