AgentForge-Premium-v2

A commercial-grade, synthetic, multilingual multi-turn agentic tool-calling dataset for SFT and DPO post-training. The premium successor to AgentForge-MultiTurn-ToolCall-5k.

⚠️ ACCESS & LICENSING — READ BEFORE REQUESTING

This dataset is gated. Access is granted case-by-case.

Use case	Access	What to do
Personal / academic / non-commercial research	Granted on request	Click "Request access" above. Briefly describe your research.
Commercial use (training models you sell, embed in a paid product, internal company use at a company with > $1M ARR or > 10 employees)	Requires a commercial license	Email contact.tahirrasool@gmail.com with subject AgentForge Premium Commercial License. Include: company name, intended use, deployment scale.

Apache-2.0 applies to non-commercial use only. Commercial use without a signed license is prohibited. If unsure whether your use is commercial, assume it is and email contact.tahirrasool@gmail.com.

What's new in v2 (vs. v1)

Capability	v1 (5k)	v2 (50k + 5k DPO)
Base conversations	5,000	50,000
Domains	8	12 (added healthcare, legal, hr, cloud-infra)
Languages	English only	8 languages (en, es, fr, de, zh, ja, hi, ar)
Error-recovery rate	30 %	50.5 %
Reasoning traces (chain-of-thought)	—	On every assistant turn
DPO preference pairs	—	5,000 (6 distinct rejection modes)
Difficulty tiers	easy / medium / hard	easy / medium / hard / expert
Code-execution tools	—	Yes (Python sandbox + SSM shell + SQL)
Total tool calls	18,481	195,889

Dataset structure

default config — 50,000 SFT conversations

from datasets import load_dataset
ds = load_dataset("JDKdev/agentforge-premium-v2", token="hf_...")
# ds["train"] → 50,000 records

field	type	description
id	string	Unique id, e.g. afp_00001.
domain	string	One of 12 domains (see coverage below).
language	string	One of en, es, fr, de, zh, ja, hi, ar.
difficulty	string	easy, medium, hard, or expert (= hard + non-English).
includes_recovery	bool	Whether the trajectory recovers from a tool failure.
num_turns	int	Total messages in the conversation.
num_tool_calls	int	Total tool invocations.
tools	list[dict]	OpenAI-compatible function schemas. (JSON-stringified in parquet.)
conversations	list[dict]	ShareGPT-style messages; assistant turns include a reasoning field with chain-of-thought.

dpo config — 5,000 preference pairs

ds = load_dataset("JDKdev/agentforge-premium-v2", "dpo", token="hf_...")
# ds["train"] → 5,000 records with chosen/rejected

field	type	description
id	string	afp_dpo_00001 ... afp_dpo_05000.
domain	string	Inherited from the base record.
language	string	Inherited.
difficulty	string	Inherited.
includes_recovery	bool	All DPO pairs use recovery traces (more interesting preference signal).
rejection_mode	string	One of: wrong_tool, missing_required_arg, hallucinate_success, skip_verification, wrong_param_value, ignore_error.
tools	list[dict]	Function schemas available.
chosen	list[dict]	Correct trajectory (with reasoning).
rejected	list[dict]	Trajectory with a realistic failure injected.

Coverage

By domain

Domain	Records	Unique tools
finance	4,167	5
travel	4,167	5
ecommerce	4,167	6
devops	4,167	5
crm	4,167	5
calendar	4,167	5
email	4,167	5
database	4,167	5
healthcare	4,166	5
legal	4,166	5
hr	4,166	5
cloud_infra	4,166	6
Total	50,000	57 unique

By language

Language	Records	%
en	29,794	59.6 %
es	3,543	7.1 %
zh	3,129	6.3 %
fr	3,074	6.1 %
de	2,976	6.0 %
hi	2,604	5.2 %
ja	2,453	4.9 %
ar	2,427	4.9 %

By difficulty

Tier	Records	Notes
easy	12,422	No recovery, English.
medium	12,319	No recovery, English.
hard	15,057	Includes recovery, English.
expert	10,202	Includes recovery, non-English.

DPO rejection modes (5,000 pairs)

Mode	Pairs	What the rejected response does wrong
wrong_tool	836	Calls an unrelated tool instead of the correct one.
missing_required_arg	814	Omits a required argument.
hallucinate_success	856	Claims success without calling the tool.
skip_verification	813	Skips the verify-then-act step.
wrong_param_value	874	Passes a corrupted parameter value.
ignore_error	807	Proceeds as if a failed tool call succeeded.

Intended use

1. SFT on 50k base conversations — train small/mid LLMs (1B–14B) to:
   • decide when to call tools vs. answer from parametric knowledge,
   • emit OpenAI-style function calls correctly,
   • chain multi-turn tool sequences,
   • recover from realistic tool failures,
   • reason explicitly before each action (chain-of-thought).
2. DPO / IPO / KTO on 5k preference pairs — sharpen the model's preference for verification, correct tool selection, and honest failure handling.
3. Multilingual agent evaluation — slice by language to measure non-English agentic capability.
4. Curriculum learning — order: easy → medium → hard → expert.

Provenance & generation

• Generation method: deterministic Python generator with fixed seed (20260629). Fully synthetic; no scraping of any external website, document, or API.
• Tool schemas: hand-authored OpenAI function-calling JSON, original work.
• Multilingual translations: hand-translated system prompts and policy text for 8 languages. User prompts are kept in English for parser compatibility (industry standard for function-calling datasets).
• DPO rejected variants: produced by deterministic mutation of chosen trajectories (6 distinct failure modes), so chosen/rejected differ in a controlled, explainable way.
• No PII, no real customer data, no copyrighted material. All names, MRNs, account ids, deal names, etc. are randomly generated.

Reproducibility

The generator script (build_agentforge_premium.py) is deterministic. Running with seed 20260629 reproduces this dataset byte-for-byte (modulo random.shuffle ordering).

License

• Non-commercial use: Apache License 2.0.
• Commercial use: requires a separate written license. Email contact.tahirrasool@gmail.com.

Citation

@misc{agentforge_premium_v2,
  title  = {AgentForge-Premium-v2: A 50k Multilingual Multi-Turn Agentic Tool-Calling Dataset with Reasoning Traces and DPO Pairs},
  author = {AgentForge},
  year   = {2026},
  note   = {Gated dataset; commercial use requires written license.}
}

Release notes

• v2.0.0 (2026-06-29): initial premium release. 50k base + 5k DPO, 12 domains, 8 languages, 50.5 % recovery rate, reasoning traces on every assistant turn.

Contact

Commercial licensing, custom extensions (vertical-specific domains, larger scales, additional languages, RLHF reward-model data), and consulting: contact.tahirrasool@gmail.com