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Sparse Retrieval Eval

Agent skill
1 skill

Evaluate sparse retrieval models on standard IR benchmarks (BEIR, MIRACL, mMARCO). Covers all IR metrics (nDCG@k, Recall@k, MAP, MRR), dataset loading, sparse corpus encoding to CSR matrices, IDF-weighted retrieval, caching, and result interpretation. Triggers on: evaluate retrieval, BEIR benchmark, nDCG, recall@k, sparse retrieval evaluation, MIRACL evaluation, information retrieval metrics, IR evaluation, search quality metrics.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryEngineeringStars0

About this skill

Evaluate sparse retrieval models on standard IR benchmarks (BEIR, MIRACL, mMARCO). Covers all IR metrics (nDCG@k, Recall@k, MAP, MRR), dataset loading, sparse corpus encoding to CSR matrices, IDF-weighted retrieval, caching, and result interpretation. Triggers on: evaluate retrieval, BEIR benchmark, nDCG, recall@k, sparse retrieval evaluation, MIRACL evaluation, information retrieval metrics, IR evaluation, search quality metrics.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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Content SHA-256: 51288bc75b2f21a7597e12b21e39bdfefb5681f315508d9a52c7d1cc2cd7ea6f

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About this listing

Category
Engineering
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.