Multilingual-Multimodal-NLP/WebWorld-SFT-10k
WebWorld-SFT-10k The Browser as a World Model for Self-Improving Web Code — a 10,000-example SFT release from the WebWorld training set. Each example is a single-turn improvement of an HTML artifact that was accepted by the browser-issued certificate: the browser re-executed the candidate, target progress held, and every previously verified capability was preserved. Rejected trajectories are not in the export. Why WebWorld VLM-driven self-improvement of web code… See the full description on the dataset page: https://huggingface.co/datasets/Multilingual-Multimodal-NLP/WebWorld-SFT-10k.
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1{2 "dataset_name": "WebWorld-HTMLVCR-SFT-10k",3 "created_at": "2026-09-01",4 "rows": 10000,5 "format": "ShareGPT conversations[human, gpt]",6 "file": "WebWorld-HTMLVCR-SFT-10k.jsonl",7 "bytes": 400581171,8 "sha256": "74a64b66e4d8ffe66548d8e5a1721b8b33df76a7afa07f9d05c4dda2796c0884",9 "source_dataset": "HTMLVCR.jsonl (32,800 rows)",10 "sampling": {11 "seed": 20260901,12 "method": "uniform random over test-set-scrubbed pool",13 "clean_pool_size": 30000,14 "excluded_before_sampling": 280015 },16 "leakage_audit": {17 "against_htmlbench_400": {18 "rows_removed": 2000,19 "verified_zero_in_release": true20 },21 "against_miniappbench_100": {22 "rows_removed": 800,23 "verified_zero_in_release": true24 },25 "method": "full normalized prompt/query substring match"26 },27 "held_out_by_paper": [28 "HTMLBench (6 categories, 400 prompts) — evaluation only",29 "MiniAppBench-Val (100 queries) — evaluation only"30 ],31 "not_released": [32 "raw_equal32800 baseline",33 "acceptance-rule ablations (cert_20k, vlm_only_20k, score_gate_20k, no_preserve_20k, no_certificate_20k)",34 "depth ablations (depth_ge1/2/3/5/8_equal5k)",35 "internal trajectory records with certificate metadata and file-system paths"36 ],37 "license": "Apache-2.0"38}