# bird-bench / toxicology__195 - taskset: [bird-bench](https://harnessreport.com/tasks/bird-bench.md) - difficulty: hard - category: database - language: - runnable from the site: no - agent timeout: 3600s ## Results by harness _none yet_ ## Instruction ``` You are given a natural language question and a SQLite database. Your task is to write a SQL query that answers the question. Database file: `/app/db.sqlite` You may use `sqlite3` or Python to inspect the schema and data. Do not modify the database. Question: For the most common bond type in the database, provide comprehensive statistics including its total occurrences, how many molecules contain it, the average number of such bonds per molecule, the number of unique element pairs it connects, and which molecule labels (carcinogenic or non-carcinogenic) contain this bond type. Evidence: most common bond type refers to the bond_type with MAX(COUNT(bond_id)); molecule label refers to '+' for carcinogenic and '-' for non-carcinogenic Schema: CREATE TABLE `atom` ( `atom_id` TEXT NOT NULL, `molecule_id` TEXT DEFAULT NULL, `element` TEXT DEFAULT NULL, PRIMARY KEY (`atom_id`), FOREIGN KEY (`molecule_id`) REFERENCES `molecule` (`molecule_id`) ) CREATE TABLE `bond` ( `bond_id` TEXT NOT NULL, `molecule_id` TEXT DEFAULT NULL, `bond_type` TEXT DEFAULT NULL, PRIMARY KEY (`bond_id`), FOREIGN KEY (`molecule_id`) REFERENCES `molecule` (`molecule_id`) ) CREATE TABLE `connected` ( `atom_id` TEXT NOT NULL, `atom_id2` TEXT NOT NULL, `bond_id` TEXT DEFAULT NULL, PRIMARY KEY (`atom_id`,`atom_id2`), FOREIGN KEY (`atom_id`) REFERENCES `atom` (`atom_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`atom_id2`) REFERENCES `atom` (`atom_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`bond_id`) REFERENCES `bond` (`bond_id`) ON DELETE CASCADE ON UPDATE CASCADE ) CREATE TABLE `molecule` ( `molecule_id` TEXT NOT NULL, `label` TEXT DEFAULT NULL, PRIMARY KEY (`molecule_id`) ) Output: Write ONLY the SQL query to `/app/answer.sql`. Do not include code fences, comments, or explanations. ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp