MRCR 1M

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About

MRCR-1M is an extended version of the Multi-hop Reasoning for Conversational Recommendation benchmark featuring one million conversation instances. This large-scale variant provides comprehensive evaluation of models' multi-hop reasoning capabilities in conversational recommendation systems, enabling more robust assessment of performance across diverse user preferences and recommendation scenarios.

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Evaluation Stats
Total Models1
Organizations1
Verified Results0
Self-Reported1
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Benchmark Details
Max Score1
Language
en
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Performance Overview
Score distribution and top performers

Score Distribution

1 models
Top Score
58.0%
Average Score
58.0%
High Performers (80%+)
0

Top Organizations

#1Google
1 model
58.0%
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Leaderboard
1 models ranked by performance on MRCR 1M
LicenseLinks
Feb 5, 2025
Proprietary
58.0%
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Resources