README.md

metadata

license: apache-2.0
language:
  - en
task_categories:
  - text-generation
pretty_name: BFCL V4 Parallel Multi-Turn

BFCL V4 Parallel Multi-Turn

Flattened current-turn rows from BFCL v4 multi-turn trajectories for decentralized multi-agent function-calling experiments.

Source data comes from the official Berkeley Function Calling Leaderboard v4 data and possible-answer files.

Fields

• id
• official_category
• task_type
• user_prompt
• function
• ground_truth
• turn_index

Categories

• multi_turn_base_step
• multi_turn_long_context_step
• multi_turn_miss_func_step
• multi_turn_miss_param_step

Counts

• train: 820 rows
• eval: 204 rows
• total: 1024 rows

By category:

• multi_turn_base_step: 257
• multi_turn_long_context_step: 257
• multi_turn_miss_func_step: 255
• multi_turn_miss_param_step: 255

Notes

• turn_index is zero-based in the original BFCL multi-turn trajectory.
• user_prompt contains the needed history/context; ground_truth contains only the current turn's tool calls.
• The rows are flattened training items, not full stateful multi-turn episodes.