{"claim":{"id":"efe6b558-1d32-40e2-9eb5-6612f7c6aee7","submission_id":"543ac9eb-f7cf-4f9d-b5c7-6614361e0a3d","submission_revision_id":"cd7cb2b8-33d1-4a76-8954-6c653b9462b8","builder":"builder-01","status":"active","claimed_at":"2026-10-15T15:37:15.612282Z","delivered_at":null,"ended_at":null,"delivery_note":null,"end_reason":null},"task":{"submission_id":"543ac9eb-f7cf-4f9d-b5c7-6614361e0a3d","submission_revision_id":"cd7cb2b8-33d1-4a76-8954-6c653b9462b8","revision_version":3,"submission_status":"under_review","submitted_at":"2026-10-04T22:31:53.540885Z","submitter_name":"Pranit Chawla","submitter_email":"pranitchawla98@gmail.com","task":{"status":"submitted","version":3,"extra_fields":{"difficulty_self_test":{"model":"GPT-5.6 Sol (high)","harness":"Codex","estimated_score":"<1%"}},"submitted_at":"2026-10-04T22:31:53.540885+00:00","industry_domain":"AI / Machine Learning — Computer-Use Data Curation","task_short_name":"long_video_to_cua_batch_01","operating_system":"MacOS","task_description":"Convert three silent CAD screen recordings, totaling 2 hours 58 minutes, into computer-use training trajectories. The videos cover SOLIDWORKS modeling/assembly and an AutoCAD mechanical drawing.\n\nFor each video, output a user instruction and an ordered sequence of exact source-frame PNGs paired with click, drag, type, scroll or key actions. Include timestamps, native-resolution coordinates and exact typed text. Reconstruct corrections and view changes as well as forward progress. Supply a short coverage/method report.\n\nInputs include the MP4s, JSON schemas, annotation rules and CPU frame-extraction tools. Use the agent's own vision and local tools. No secondary model calls, GPU, training or external annotations. Python, FFmpeg and Pillow suffice; CAD software is unnecessary.","software_licensing":"Free/Open Source","evaluation_criteria":null,"verification_method":"Deterministic joint screenshot/action F1, averaged equally across three videos. One-to-one, order-preserving matches require the correct action, onset within 1.5 s and an authentic source PNG in the reference pre-action window. Clicks use a 32 px tolerance; drag endpoints 40 px; text is exact; scroll anchors 160 px. Reference windows derive from recorded input timestamps. Missing and extra actions reduce F1; missing or invalid cases score zero.\n\nRubric 2 scores 3,634 recorded actions, with 793 diagnostic events. The attached grader supplies the complete matching rules, per-event scoring scope and reference outputs.\n\nGPT-5.6 Sol (high), Codex: 0.33% joint F1 and 0.61% action-only F1 when the saved 20.03-minute run was regraded under rubric 2. All 1,649 submitted PNGs reconstructed byte-for-byte. Scored trajectories, per-action results and reproduction tools are attached.","software_and_version":"Python 3.12, FFmpeg 8.1.2, Pillow 12.3.0. SOLIDWORKS and AutoCAD appear only in the recordings; no CAD installation is required.","specific_requirements":null,"expected_completion_time":null},"files":[{"file_id":"5936e6b8-d4b2-4471-a21a-125ffa282631","filename":"long_video_to_cua_reference_and_grader_v3.zip","category":"reference_output","content_type":"application/zip","size_bytes":924579},{"file_id":"6fcb3940-d350-4f3c-b074-f3a365e824bd","filename":"gpt56_sol_high_evidence_v3.zip","category":"difficulty_self_test_evidence","content_type":"application/zip","size_bytes":3104896},{"file_id":"b40e7365-ec63-4c5b-a29f-f1e64e9497d7","filename":"long_video_to_cua_inputs_v3.zip","category":"input_materials","content_type":"application/zip","size_bytes":402903594}],"deep_review":{"overall_verdict":"Accept","review_text":"**Overall Verdict:** Accept — Revision 3 provides a complete, coherent, CPU-feasible task and objective evaluator, suitable for isolated execution with public-answer retrieval disabled.\n\n**Completeness Check:**\n\n- Instruction: Complete — Defines all three trajectories, exact source PNGs, native coordinates, timing, action conventions, corrections, and coverage reports.\n- Inputs: Complete — Three checksum-consistent, silent H.264 MP4s total 2:57:56.2; dimensions, frame counts, schemas, and annotation rules agree.\n- Toolchain: Complete — Standard Python, FFmpeg, and Pillow support the workflow on one machine without CAD software, GPU, or contributor credentials.\n- Reference output: Complete — All 4,427 reference steps have corresponding oracle actions, valid frame windows, and reconstructable screenshot inventories.\n- Rubric: Complete — Explicit order-preserving matching, tolerances, image-authenticity checks, and equal-video aggregation cover 3,634 primary actions and 793 diagnostic events; missing and invalid cases score zero.\n\n**File and Task Reachability:**\n\nAttachment classification: `reachable`. Task classification: `reachable`.\n\nInspected `long_video_to_cua_inputs_v3.zip`, `long_video_to_cua_reference_and_grader_v3.zip`, and `gpt56_sol_high_evidence_v3.zip`. All match declared byte counts, pass archive integrity checks, and contain safe, unencrypted members. Internal file hashes agree. JSON evidence parses successfully; video metadata and representative PNGs support the stated roles. Solver inputs exclude reference trajectories and evaluator internals.\n\nThe completion path is local frame extraction, visual action reconstruction, trajectory validation, and separate evaluator scoring. The saved results are internally consistent with the reported 0.33% joint F1 and 0.61% action-only F1. Python and FFmpeg were unavailable for this review; full video playback, screenshot reconstruction, and grader execution were not independently performed. The reported 1,649 byte-identical reconstructions remain submitted evidence.\n\nLicense keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.\n\n**Special Screening:**\n\n`public_benchmark` — The supplied dataset documentation and pinned provenance identify publicly distributed recordings with paired input-event logs, creating a potential answer-retrieval shortcut. The instructions prohibit retrieval and separate solver inputs from protected references. Use an offline solver environment, except for its normal model connection, with dependencies provisioned beforehand. There is no affirmative evidence of pervasive benchmark memorization. Live public availability and license history were not independently verified because approved external search was unavailable.\n\n**Recommended Changes:**\n\nThe submission provides detailed annotation conventions, reconstructable references, bounded diagnostic exclusions, and substantial reproduction evidence. No contributor changes are required. Maintain solver/evaluator separation and disable external retrieval during evaluation.","reviewed_at":"2026-10-04T22:41:24.627516Z"},"claim":{"id":"efe6b558-1d32-40e2-9eb5-6612f7c6aee7","submission_id":"543ac9eb-f7cf-4f9d-b5c7-6614361e0a3d","submission_revision_id":"cd7cb2b8-33d1-4a76-8954-6c653b9462b8","builder":"builder-01","status":"active","claimed_at":"2026-10-15T15:37:15.612282Z","delivered_at":null,"ended_at":null,"delivery_note":null,"end_reason":null}},"revision_is_current":true}