---
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.