The dataset viewer is not available for this dataset.
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SakThai Combined v6 — Improved
Expanded tool-calling dataset for SakThai-Agent fine-tuning — with Hugging Face Hub tools, Growth Cycle integration, multi-turn conversations, and 10 new Hermes agent tool schemas.
Dataset Structure
| File | Records |
|---|---|
data/train.jsonl |
908 |
data/test.jsonl |
113 (54 with tool calls) |
What's New in v6.1 (2026-07-13)
180 hand-crafted records added (scripts/generate_v61_*.py), targeting behavioral gaps:
| Addition | Count | Why |
|---|---|---|
| No-tool negatives — tools present in schema but the correct behavior is a direct answer | ~100 | Train had only 1/753 direct-answer records; model would learn to always call a tool |
| Thai coverage — Thai user → tool call → Thai answer, plus Thai direct answers | 88 records now contain Thai (train 8%, test 11%) | Dataset was 100% English despite the SakThai target |
Rare-tool bulking — session_search, cronjob, hf_upload_file, web_search, search_web, capture_lesson, run_agent_loop |
+32 | All tools now have ≥5 examples |
clarify examples — ambiguous requests answered with a clarifying tool call |
+5 | Teaches asking instead of guessing |
| Param descriptions for the 29 most-used tools, applied to every record | 1,300+ params filled | Better argument accuracy |
Quality Pass (v6 Cleaned, 2026-07-13)
Full-dataset audit + repair before training (scripts/fix_quality.py):
| Fix | Count |
|---|---|
Tool called but missing from record's tools list → schema injected |
110 |
Legacy-format calls: missing id added |
160 |
arguments as dict → JSON string (OpenAI format) |
135 |
tool_calls as dict → wrapped in list |
7 |
Tool schema description filled from sibling schemas |
581 |
| Parameter descriptions filled from sibling schemas | 308 |
| Curly apostrophes in system prompts normalized | 163 |
| Tool-calling records moved train → test (34 distinct tools) | 40 |
Post-fix audit: 0 structural errors, 0 orphan tool_call IDs, 0 tools called outside schema, 0 train/test leakage (exact or first-prompt). Note: 160 single-turn records intentionally end at the assistant tool call (no tool response) — the training target is call emission.
What's New in v6 Improved
| Improvement | Before | After | Δ |
|---|---|---|---|
| Training examples | 663 | 789 | +126 (+19%) |
| Tool schemas | 71 | 81 | +10 |
| Tool calls | 932 | 1,112 | +180 (+19%) |
| Multi-turn (3+ user turns) | 14 | 22 | +8 (+57%) |
10 New Hermes Tool Schemas
search_files, patch_file, skill_manage, skill_view, todo, memory_store, browser_navigate, browser_click, clarify, vision_analyze
Quality
- Multi-turn conversations with proper user → assistant → tool → user → ... turn structure
- Rare schemas bulked — all 11 under-represented tools now have 5-10 examples
- Zero short responses — every assistant message is a natural, complete sentence
- Trust-passed — 0 structural errors, 0 orphan IDs in new data
New Workflow Examples
Research (6 turns)
User → assess_energy + hf_search_models
User → hf_get_model_card
User → hf_run_inference
User → supermemory_store
User → log_transition + close_cycle
Skill Building (4 turns)
User → skill_manage(create)
User → skill_view
User → todo(create)
Version History
| Version | Records | Tools | Features |
|---|---|---|---|
| v5 | 659 | 53 | Generic tool-calling, parallel calls |
| v6 | 663 | 71 | + HF Hub + Growth Cycle + real tools |
| v6 Improved | 789 | 81 | + multi-turn + new schemas + rare schema bulking |
| v6 Cleaned | 753 + 88 test | 81 | format normalization + schema injection + tool-calling test split |
| v6.1 | 908 + 113 test | 81 | no-tool negatives + Thai coverage + rare-tool bulking + clarify + param descriptions |
- Downloads last month
- 2