README.md

metadata

license: apache-2.0
language:
  - en
  - zh
task_categories:
  - text-generation
  - question-answering
tags:
  - reasoning
  - chain-of-thought
  - sft
  - distillation
  - finance
  - multi-agent
size_categories:
  - 100K<n<1M

tejeshbhalladhanyog/sa-finance-reasoning-mix

A merged reasoning-distillation dataset combining a custom multi-agent financial-reasoning pipeline with a stratified slice of GLM-5.1's general-domain reasoning data.

Composition

source / subset	rows
sa_pipeline_qwen_max (decomposition + cluster_generation + mapreduce_single)	153,923
main	80,000
PHD-Science	20,000
Multilingual-STEM	20,000
Math	15,000
total	288,923

Format

Each row is a single conversation in standard messages format:

{
  "messages": [
    {"role": "system",    "content": "..."},
    {"role": "user",      "content": "..."},
    {"role": "assistant", "content": "<think>\n...reasoning trace...\n</think>\n\n...final answer..."}
  ],
  "source": "sa_pipeline_qwen_max",
  "source_subset": "cluster_generation",
  "domain": "compliance",
  "stage": "cluster_generation",
  "question_id": "compliance.trade_surveillance_market_abuse.00124.635cf2.iter1",
  "teacher_model": "qwen3.6-max-preview",
  "input_tokens": 12345,
  "output_tokens": 6789
}

The assistant turn always carries reasoning as a leading <think>...</think> block followed by the final answer, suitable for SFT on chat templates that natively support reasoning blocks.

Sources

• SA Pipeline (qwen3.6-max-preview). Multi-agent finance reasoning traces produced by an internal pipeline (decomposer → 3-7 cluster generators → map-reduce synthesizer). Domains span accounting, banking, trading, compliance, derivatives, structured credit, insurance, PE/VC, research, IR, tax, infra, real estate, etc.
• GLM-5.1-Reasoning-1M-Cleaned. Reformatted slice of Jackrong/GLM-5.1-Reasoning-1M-Cleaned covering main, PHD-Science, Multilingual-STEM, and Math subsets — sampled to retain general reasoning ability across domains.

Loading

from datasets import load_dataset
ds = load_dataset("tejeshbhalladhanyog/sa-finance-reasoning-mix", split="train", streaming=True)
for ex in ds:
    print(ex["messages"])
    break

License

apache-2.0 (inherited from the GLM-5.1-Reasoning-1M-Cleaned source for the GLM portion; SA pipeline portion is released under the same terms).