Create split BFCL v4 dataset

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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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.

train.jsonl

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+size 19320175