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Datasets:
RegalFire
/
Agent-Failure-Recovery-Benchmark
Like
0
Tasks:
Reinforcement Learning
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
agents
agentic-ai
benchmark
evaluation
reasoning
trajectories
+ 7
Libraries:
Datasets
pandas
Polars
+ 1
License:
mit
Dataset card
Data Studio
Files
Files and versions
xet
Community
main
Agent-Failure-Recovery-Benchmark
/
validator
55.5 kB
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1 contributor
History:
2 commits
RegalFire
Release verified agent recovery benchmark with lossless Parquet viewer, evaluation interface and full metadata
a6e2a06
verified
about 22 hours ago
vendor
RegalFire V3: independently validated source-derived release
about 22 hours ago
LICENSE
Safe
1.09 kB
RegalFire V3: independently validated source-derived release
about 22 hours ago
check_package.py
Safe
2.59 kB
Release verified agent recovery benchmark with lossless Parquet viewer, evaluation interface and full metadata
about 22 hours ago
validate.py
Safe
16.7 kB
RegalFire V3: independently validated source-derived release
about 22 hours ago
