Spaces:
Sleeping
Sleeping
File size: 1,479 Bytes
dfb7db1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | [
{
"task": "medium",
"lesson": "The agent should have prioritized deleting documents with relevant metadata, such as \"doc_incident_raw\", \"doc_incident_partial\", and \"doc_incident_resolved\", which contained meaningful information, instead of sequentially deleting the distractor documents."
},
{
"task": "easy",
"lesson": "The agent should have added the \"subcategory\": \"api_framework\" metadata to documents \"fastapi_7\", \"fastapi_8\", \"fastapi_9\", and \"fastapi_10\" to increase the consistency of the knowledge base and ultimately achieve a higher reward."
},
{
"task": "medium",
"lesson": "The agent should have taken a more targeted approach to document deletion, prioritizing the removal of irrelevant documents while preserving key incident reports, such as \"doc_incident_raw\", \"doc_incident_partial\", and \"doc_incident_resolved\", to maximize the reward and achieve the task objective."
},
{
"task": "medium",
"lesson": "The agent should have performed a \"merge_document\" action to combine the relevant information from \"doc_incident_raw\" and \"doc_incident_partial\" into \"doc_incident_resolved\", instead of deleting distractor documents and reading \"doc_incident_resolved\", to achieve a higher reward and successfully"
},
{
"task": "medium",
"lesson": ""
},
{
"task": "medium",
"lesson": ""
},
{
"task": "medium",
"lesson": ""
}
] |