Datasets:
Release v1.3.0: Agent-Decision-30k training dataset
Browse files- .gitattributes +1 -0
- README.md +52 -0
- train.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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train.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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- zh
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license: apache-2.0
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task_categories:
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- text-classification
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- feature-extraction
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- zero-shot-classification
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tags:
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- agent
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- decision-making
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- cross-encoder
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- reranker
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- modernbert
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- tool-use
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size_categories:
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- 10K<n<100K
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---
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# Agent-Decision-30k: Multi-Task Operational Decisions Dataset
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**Agent-Decision-30k** is a curated dataset of 30,456 high-fidelity operational decisions for training and benchmarking System-1 (fast-thinking) decision engines and cross-encoders.
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## Dataset Structure
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Each sample is formatted as a JSON object:
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```json
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{
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"context": "Detailed observation, system logs, environment state, or DOM context",
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"instruction": "Target goal, user intent, or operational constraint",
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"candidates": {
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"action_a": "First candidate option",
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"action_b": "Second candidate option",
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"action_c": "Third candidate option"
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},
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"gold": "action_a",
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"domain": "browser_dom | api_dispatch | ecom_brand | ecom_specs | ecom_category | legal_clause"
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}
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```
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## Domains Covered
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1. **Browser DOM Automation**: XPath selection, button clicking, form field focus.
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2. **API Tool Routing**: Function calling and handler dispatch under strict argument constraints.
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3. **E-Commerce Brand Extraction**: Canonical brand attribution across messy product titles.
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4. **E-Commerce Specs & Attributes**: Multi-attribute constraint satisfaction.
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5. **E-Commerce Category Prediction**: Hierarchical taxonomic placement.
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6. **Legal & Contract Alignment**: Clause matching and regulatory compliance verification.
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## Intended Use
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Designed to train sub-15ms cross-encoders (such as [FastDecider-149M](https://huggingface.co/mkzero/FastDecider-149M)) for reliable agent dispatch.
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train.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a9adc60508f5aa8b6c97e5b7ae8a35b6596052835808f434d8b2d53f0547d0f
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size 26247836
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