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Create split BFCL v4 dataset
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---
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.