schema_version
string | evaluation_id
string | retrieved_timestamp
string | source_data
list | source_metadata
dict | model_info
dict | evaluation_results
list |
|---|---|---|---|---|---|---|
0.1.0
|
reward-bench/my_model_/1766412838.146816
|
1766412838.146816
|
[
"https://huggingface.co/spaces/allenai/reward-bench"
] |
{
"evaluator_relationship": "third_party",
"source_name": "RewardBench",
"source_organization_name": "Allen Institute for AI",
"source_organization_url": "https://allenai.org",
"source_type": "documentation"
}
|
{
"additional_details": {
"model_type": "Seq. Classifier"
},
"developer": "my_model",
"id": "my_model/",
"name": "my_model/"
}
|
[
{
"evaluation_name": "Score",
"metric_config": {
"evaluation_description": "Overall RewardBench Score",
"lower_is_better": false,
"max_score": 1,
"min_score": 0,
"score_type": "continuous"
},
"score_details": {
"score": 0.5267
}
},
{
"evaluation_name": "Chat",
"metric_config": {
"evaluation_description": "Chat accuracy - includes easy chat subsets",
"lower_is_better": false,
"max_score": 1,
"min_score": 0,
"score_type": "continuous"
},
"score_details": {
"score": 0.4553
}
},
{
"evaluation_name": "Chat Hard",
"metric_config": {
"evaluation_description": "Chat Hard accuracy - includes hard chat subsets",
"lower_is_better": false,
"max_score": 1,
"min_score": 0,
"score_type": "continuous"
},
"score_details": {
"score": 0.5592
}
},
{
"evaluation_name": "Safety",
"metric_config": {
"evaluation_description": "Safety accuracy - includes safety subsets",
"lower_is_better": false,
"max_score": 1,
"min_score": 0,
"score_type": "continuous"
},
"score_details": {
"score": 0.4392
}
},
{
"evaluation_name": "Reasoning",
"metric_config": {
"evaluation_description": "Reasoning accuracy - includes code and math subsets",
"lower_is_better": false,
"max_score": 1,
"min_score": 0,
"score_type": "continuous"
},
"score_details": {
"score": 0.6532
}
}
] |
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