{"data":{"slug":"libr-ai-do-not-answer","name":"do-not-answer","tagline":"A Dataset for Evaluating Safeguards in LLMs","github_url":"https://github.com/Libr-AI/do-not-answer","owner":"Libr-AI","repo":"do-not-answer","owner_avatar_url":"https://avatars.githubusercontent.com/u/133515165?v=4","primary_language":"Jupyter Notebook","stars":339,"forks":29,"topics":[],"archived":false,"github_pushed_at":"2024-06-07T14:55:51+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/libr-ai-do-not-answer","markdown_url":"https://www.graphcanon.com/tools/libr-ai-do-not-answer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/libr-ai-do-not-answer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=libr-ai-do-not-answer","description":"Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs","homepage_url":null,"license":"Apache-2.0","open_issues":0,"watchers":4,"ai_summary":"Provides datasets to evaluate safeguards in Large Language Models ensuring responsible usage and ethical compliance.","readme_excerpt":"## License\nAll datasets in this repository are released under the\n[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/). All source files in this repository are released under the Apache 2.0 license, the text of which can be found in the LICENSE file.","github_created_at":"2023-08-20T14:27:52+00:00","created_at":"2026-07-11T23:40:11.691143+00:00","updated_at":"2026-08-05T00:01:42.3389+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"datasets","name":"datasets"},{"slug":"ethical-ai","name":"ethical ai"},{"slug":"llm-evaluation","name":"llm-evaluation"},{"slug":"safeguard-testing","name":"safeguard testing"}],"trust":{"provenance":{"is_fork":false,"github_id":680825323,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-05T00:01:41.410Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":788,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:40:13.155Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-05T00:01:42.069Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-05T00:01:42.069Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-05T00:01:42.069Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["To assess the reliability of safeguards implemented in your Large Language Model.","You need specific datasets that focus on ethical and responsible usage evaluation."],"when_not_to_use":["If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them.","Your project does not involve assessing ethical compliance or safeguard measures within language models."],"source":"enrich:decision_facts","observed_at":"2026-07-17T07:12:42.113Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses."},{"label":"License detail","value":"Dual licensing model, datasets under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and source files under Apache 2.0 license."}]}}