diff --git a/CHANGELOG.md b/CHANGELOG.md index 39d1a5866386afbcf6f6d34cbf2dbee2fb551062..250f3a23f4e60259e1e4f8ce706b4c6ca031fa1a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,97 @@ All notable changes to **`nvidia/PhysicalAI-VANTAGE-Bench`** on Hugging Face. +## 2026-05-28 +- **Added `scripts/run_lmudata.py`** — a participant-facing data-prep tool + that builds an inference-ready, no-ground-truth (no-GT) LMUData layout + compatible with VLMEvalKit. It covers all VANTAGE-Bench tasks (VQA, Event + Verification, DVC, Temporal, 2D Pointing, Astro2D, 2D Grounding/RefDrone, + and SOT), prepares data for VLMEvalKit `--mode infer` (no local scoring), + and supports both Hugging Face remote sourcing + (`nvidia/PhysicalAI-VANTAGE-Bench`) and direct local dataset-repo sourcing + (auto-detected when run from inside this repo, or via `--local-source`). + Includes SOT preparation (downloads SmartSpaces source videos and extracts + frames via `ffmpeg`) and RefDrone/Grounding image preparation. +- **Added `scripts/RUN_LMUData.md`** — a participant onboarding guide covering + setup, the HF cache, disk-space requirements, copy-vs-symlink media modes, + per-task data preparation notes, SOT internals/prerequisites, and + troubleshooting. + +## 2026-05-27 +- **`data/pointing/` migrated to JSONL as the canonical annotation + format.** `data/pointing/VANTAGE_2DPointing.jsonl` (1,005 lines, one + sample object per line, 8 fields: `index, question_id, image_path, + question, A, B, C, D`) replaces `VANTAGE_2DPointing.tsv`, which has + been removed. The JSONL is a lossless conversion of the prior TSV — + same 1,005 samples, same field values, same row order, with `index` + widened from string to integer. No sample content changed and no + ground-truth fields (`answer`, `target_point`) were introduced. The + Hugging Face Dataset Viewer `pointing` config now resolves cleanly + alongside the other JSON/JSONL configs (the mixed `.tsv`/`.jsonl` + `configs:` block was triggering HF's JSON builder on the TSV and + failing with an `ArrowInvalid: JSON parse error`). +- **`data/event_verification/data_jsons/annotations/*.json` unwrapped + to top-level lists.** Each of the four files + (`VANTAGE_EventVerification.json` — 67 entries, + `tailgating_location_a.json` — 28, `tailgating_location_b.json` — 22, + `warehouse_near_miss.json` — 46; 163 total) was rewritten from + `{"bcq": [...]}` to `[...]`, matching the + `vqa/data_jsons/annotations/` and + `temporal_localization/data_jsons/annotations/` layouts. Every sample + object (`{id, video, system_prompt, question}`) is preserved + byte-for-byte and entry order is unchanged. This lets the Hugging + Face Dataset Viewer row-expand the files to 163 (instead of + collapsing each top-level object to a single row, which produced + 4 rows in the viewer). +- **`data/pointing/VANTAGE_2DPointing.tsv` updated.** MCQ option + coordinates (columns `A`–`D`) are now expressed in the normalized + `0–1000` coordinate system (each cell is an `x,y` pair, with both + components in `[0, 1000]` relative to the image dimensions). The + public TSV ships only the question side: columns are + `index, question_id, image_path, question, A, B, C, D`; the + ground-truth fields (`answer`, `target_point`) are held server-side + and are not included in the released file. +- **`data/event_verification/` flattened** to match the `vqa/` and + `temporal_localization/` layout. The `filtered/.../{metropolis,tailgating,warehouse_near_miss}` + subtree was removed; all 163 videos now live directly under + `data/event_verification/videos/`, and the four annotation JSONs were + moved + renamed to + `data/event_verification/data_jsons/annotations/{metropolis_event_verification,tailgating_location_a,tailgating_location_b,warehouse_near_miss}.json`. + Each `bcq[].video` is now the basename (e.g. `example.mp4`) and each + `bcq[].id` is the stem (e.g. `example`); all other fields, entry + order, and counts (163 total) are preserved. The `configs:` glob in + the top-level README is updated accordingly. +- Renamed remaining active Metropolis-named annotation JSON artifacts to + VANTAGE naming for public dataset consistency: + `data/event_verification/data_jsons/annotations/metropolis_event_verification.json` + → `data/event_verification/data_jsons/annotations/VANTAGE_EventVerification.json`; + `data/vqa/data_jsons/annotations/Metropolis_VQA_Verification_Final_ITS_Data.json` + → `data/vqa/data_jsons/annotations/VANTAGE_VQA_Verification_Final_ITS_Data.json`. + File contents are unchanged; only filenames moved. The `configs:` + globs in the top-level README already match the new filenames. + `data/README.md` updated to reference the new event-verification + filename. +- **`data/vqa/data_jsons/annotations/*.json` reduced to inference-oriented fields.** + Each entry now carries exactly `{q_uid, question, options}`. The + metadata fields `industry`, `event_type`, `start_time`, `end_time`, + `video_duration`, `task_type`, and `dimension` were removed across all + five files. Entry count (1,195) and values of the retained fields are + unchanged. Smoke-tested against VLMEvalKit's `VANTAGE_VQA` inference + preparation: TSV regeneration, prompt building, and video resolution + all pass. +- **`data/temporal_localization/data_jsons/annotations/*.json` reduced + to inference-oriented fields.** Each entry now carries exactly + `{vid, question_id, question}` (key order preserved). The metadata + fields `industry`, `event_type`, `task_type`, and `duration` were + removed across all three files. Entry count (1,067) and values of the + retained fields are unchanged; the 1,067 `question_id`s remain + globally unique. Smoke-tested against VLMEvalKit's `VANTAGE_Temporal` + inference preparation: TSV regeneration, prompt building, and video + resolution all pass. +- Event Verification annotations were left unchanged in this pass; the + current `data/event_verification/data_jsons/annotations/*.json` + schema is treated as already inference-appropriate. + ## 2026-05-19 - README YAML updated with a `configs:` block so the HF dataset viewer diff --git a/README.md b/README.md index 7de18313b7b7a2ebff814963489c8dada55045ab..1e9847f149e81ab3a4d9555c33e28af24ba9467e 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ configs: - config_name: event_verification data_files: - split: test - path: data/event_verification/filtered/**/*.json + path: data/event_verification/data_jsons/annotations/*.json - config_name: referring data_files: - split: test @@ -22,7 +22,7 @@ configs: - config_name: pointing data_files: - split: test - path: data/pointing/Vantage2DPointing.tsv + path: data/pointing/VANTAGE_2DPointing.jsonl - config_name: tracking data_files: - split: test @@ -43,10 +43,27 @@ configs: ## Dataset Description -VANTAGE-BENCH is the first public benchmark purpose-built for evaluating visual understanding on video captured by fixed infrastructure cameras. It spans three real-world domains — warehouse, smart city / Intelligent Transportation Systems (ITS), and smart spaces — across six spatio-temporal video understanding tasks including video question answering (VQA), temporal grounding, dense video captioning, event verification, spatial grounding, and spatio-temporal tracking. +VANTAGE-BENCH is the first public benchmark purpose-built for evaluating visual understanding on video captured by fixed infrastructure cameras. It spans three real-world domains — warehouse, smart city / Intelligent Transportation Systems (ITS), and smart spaces — across 8 tasks spanning semantic, temporal, spatial, and spatio-temporal evaluation, including video question answering (VQA), temporal grounding, dense video captioning, event verification, spatial grounding, and spatio-temporal tracking. This dataset is for evaluation purposes only. +## Quick Links + +- **Official Website:** https://vantage-bench.org/ +- **Official Leaderboard:** https://huggingface.co/spaces/clemson-computing/VANTAGE-Bench-Leaderboard +- **Prepare LMUData for VLMEvalKit:** + To prepare an inference-ready, no-ground-truth LMUData layout for running VANTAGE-Bench with VLMEvalKit: + + ```bash + python scripts/run_lmudata.py --all + ``` + + Full setup instructions, disk requirements, troubleshooting, and task-specific notes are available in: + + ```text + scripts/RUN_LMUData.md + ``` + ## Dataset Owner(s) NVIDIA Corporation @@ -89,30 +106,38 @@ VANTAGE-BENCH/ | Category | Task | Metric | |----------|------|--------| | Semantic | VQA | Accuracy | -| Semantic | Event Verification | F1 Score | +| Semantic | Event Verification | Macro F1 | | Temporal | Dense Video Captioning | SODA-c | -| Temporal | Temporal Localization | mAP@tIoU | +| Temporal | Temporal Localization | mIoU | | Spatial | 2D Object Localization | F1@0.5 | | Spatial | 2D Referring Expressions | mIoU | -| Spatial | 2D Spatial Pointing | Pointing Accuracy | +| Spatial | 2D Spatial Pointing | Accuracy | | Spatio-Temporal | Single Object Tracking | AUC | -Expected submission formats and the leaderboard will be published soon. +Expected submission formats are described in `scripts/RUN_LMUData.md`. Results are submitted to the [official leaderboard](https://huggingface.co/spaces/clemson-computing/VANTAGE-Bench-Leaderboard). ### Metric Notes - **Accuracy**: Percentage of correct predictions. - **SODA-c**: Metric for dense video captioning quality across event coverage and language quality. -- **mAP@tIoU**: Mean Average Precision measured over temporal IoU thresholds. -- **F1 Score**: Harmonic mean of precision and recall. +- **Macro F1**: Unweighted mean of per-class F1 scores (harmonic mean of precision and recall). - **F1@0.5**: F1 score at an IoU threshold of 0.5. -- **mIoU**: Mean Intersection over Union — average overlap between predicted and ground-truth bounding boxes. -- **Pointing Accuracy**: Percentage of correctly selected target regions. +- **mIoU**: Mean Intersection over Union — average overlap between predicted and ground-truth bounding boxes (also used for temporal localization spans). - **AUC**: Area under the ROC curve, measuring the model's ability to distinguish correct detections or tracks from incorrect ones across varying confidence thresholds. ### Evaluation Server -The [VANTAGE-Bench GitHub repository](https://github.com/anon-benchmark/VANTAGE-bench) provides a sample evaluation pipeline for generating model predictions. Predictions are submitted to the official leaderboard, which will go live by the end of May 2026. +The VANTAGE-Bench evaluation workflow is designed for inference and server-side scoring. Users should first prepare an inference-ready LMUData layout using: + +```bash +python scripts/run_lmudata.py --all +``` + +Then run VLMEvalKit inference with `--mode infer`. Generated predictions can be submitted to the official leaderboard: + +https://huggingface.co/spaces/clemson-computing/VANTAGE-Bench-Leaderboard + +See `scripts/RUN_LMUData.md` for setup, disk requirements, troubleshooting, and task-specific notes. ## Dataset Format @@ -167,7 +192,9 @@ Video (mp4) and Images (jpg). ## References -- HuggingFace dataset: [nvidia/PhysicalAI-VANTAGE-Bench](https://huggingface.co/datasets/nvidia/PhysicalAI-VANTAGE-Bench) +- **Official Website:** https://vantage-bench.org/ +- **Official Leaderboard:** https://huggingface.co/spaces/clemson-computing/VANTAGE-Bench-Leaderboard +- **Hugging Face Dataset:** https://huggingface.co/datasets/nvidia/PhysicalAI-VANTAGE-Bench VANTAGE-BENCH task overview across Semantic, Temporal, Spatial, and Spatio-Temporal understanding categories diff --git a/data/README.md b/data/README.md index 84a1edda22b54e9392f2165b175b42c0b11e709d..73f5ca7b5b745b490e334ce91c0f4e0fc673fdd5 100644 --- a/data/README.md +++ b/data/README.md @@ -15,12 +15,10 @@ data/ │ ├── prompt.json │ └── *.mp4 ├── event_verification/ # Binary event classification -│ └── filtered/ -│ ├── metropolis_event_verification/{*.mp4, test_annotation.json} -│ ├── tailgating/{location_a, location_b}/{*.mp4, test_annotation.json} -│ └── warehouse_near_miss/{*.mp4, test_annotations.json} +│ ├── *.mp4 (under videos/) +│ └── data_jsons/annotations/*.json ├── pointing/ # 2D spatial pointing -│ └── Vantage2DPointing.tsv +│ └── VANTAGE_2DPointing.jsonl ├── referring/ # 2D referring expressions │ └── refdrone_test_llava.json ├── temporal_localization/ # Temporal grounding @@ -45,18 +43,49 @@ Tasks without a per-entry `question` field carry a top-level > Describe the notable events in the provided video. Provide the result in json format with `mm:ss.ff` format for time depiction for each event. Use keywords `start`, `end` and `caption` in the json output. ### `vqa/` — Video Question Answering -Per-entry questions in `vqa/data_jsons/annotations/*.json`. Each entry has `{q_uid, question, options, …}`; answer keys (`gt`, `gt_option`, `*_update_*`, etc.) are removed. +Per-entry questions in `vqa/data_jsons/annotations/*.json`. Each entry +carries exactly three fields, scoped to model inference: +- `q_uid` — video/sample identifier; resolves against `vqa/videos/` +- `question` — natural-language question text +- `options` — list of MCQ answer choices used to build the prompt + +Ground-truth (`gt_option`, `answer`) and per-question metadata +(`industry`, `event_type`, `task_type`, `dimension`, `start_time`, +`end_time`, `video_duration`) are not included in the public +annotations. ### `temporal_localization/` — Temporal Grounding -Per-entry questions in `temporal_localization/data_jsons/annotations/*.json`. Each entry has `{vid, question_id, question, duration, …}`; the `answer` timestamps are removed. +Per-entry questions in `temporal_localization/data_jsons/annotations/*.json`. +Each entry carries exactly three fields, scoped to model inference: +- `vid` — video identifier; resolves against `temporal_localization/` +- `question_id` — stable annotation identifier (reproducibility key) +- `question` — temporal-localization query + +Ground-truth timestamps and per-question metadata (`industry`, +`event_type`, `task_type`, `duration`) are not included in the public +annotations. ### `event_verification/` — Binary Event Verification -All four annotation files share a unified schema: -`{"bcq": [{id, video, system_prompt, question}, …]}`. The binary `answer` -is removed. +Per-entry questions in `event_verification/data_jsons/annotations/*.json` +(four files: `VANTAGE_EventVerification.json` — 67 entries, +`tailgating_location_a.json` — 28, `tailgating_location_b.json` — 22, +`warehouse_near_miss.json` — 46; 163 total). Each file is a top-level +list of sample objects with schema +`[{id, video, system_prompt, question}, …]` — matching the +`vqa/` and `temporal_localization/` annotation layout — where `video` +is the basename (e.g. `example.mp4`) and `id` is the stem +(e.g. `example`), resolving against `event_verification/videos/`. The +binary `answer` is removed. ### `pointing/` — 2D Spatial Pointing -`Vantage2DPointing.tsv` — tab-separated. Each row carries the question and multiple-choice options; the last two ground-truth columns are dropped. +`VANTAGE_2DPointing.jsonl` — one JSON object per line, 1,005 lines, +8 fields: `index, question_id, image_path, question, A, B, C, D`. Each +line carries the question and four multiple-choice options (`A`–`D`); +each option is an `x,y` pair (string `"x,y"`) in the **normalized +`0–1000` coordinate system** (both components in `[0, 1000]` relative +to the image dimensions). `index` is an integer in `[0, 1004]`. +Ground-truth fields (`answer`, `target_point`) are held server-side and +are not included in the public JSONL. ### `referring/` — 2D Referring Expressions `refdrone_test_llava.json` — list of LLaVA conversation entries. Only the `human` turn (the question) is retained; the `gpt` turn (predicted bboxes) and GT meta fields are removed. diff --git a/data/event_verification/data_jsons/annotations/VANTAGE_EventVerification.json b/data/event_verification/data_jsons/annotations/VANTAGE_EventVerification.json new file mode 100644 index 0000000000000000000000000000000000000000..22fe803f57bf62e94b7ec493af44f49c82875994 --- /dev/null +++ b/data/event_verification/data_jsons/annotations/VANTAGE_EventVerification.json @@ -0,0 +1,404 @@ +[ + { + "id": "LUPZNgg5idk_13", + "video": "LUPZNgg5idk_13.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "IpgfZf6Y2BE_14", + "video": "IpgfZf6Y2BE_14.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "IpgfZf6Y2BE_15", + "video": "IpgfZf6Y2BE_15.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "NOALQmAB4yE_16", + "video": "NOALQmAB4yE_16.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a vehicle collide with pedestrian?" + }, + { + "id": "SEb7p5oszeM_17", + "video": "SEb7p5oszeM_17.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a vehicle collide with a cyclist?" + }, + { + "id": "SEb7p5oszeM_18", + "video": "SEb7p5oszeM_18.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a vehicle collide with a pedestrian?" + }, + { + "id": "MmsgbcpWn-k_19", + "video": "MmsgbcpWn-k_19.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "MmsgbcpWn-k_20", + "video": "MmsgbcpWn-k_20.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "MmsgbcpWn-k_21", + "video": "MmsgbcpWn-k_21.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "NOALQmAB4yE_24", + "video": "NOALQmAB4yE_24.mp4", + "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is “likely” if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a collision occur between two or more vehicles?" + }, + { + "id": "evs_134db13b21", + "video": "evs_134db13b21.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_99c1cd175d", + "video": "evs_99c1cd175d.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_8cc3cd0258", + "video": "evs_8cc3cd0258.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_bc929d97da", + "video": "evs_bc929d97da.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_d897e4ada3", + "video": "evs_d897e4ada3.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_c3e684b820", + "video": "evs_c3e684b820.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_17560f2666", + "video": "evs_17560f2666.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_0f0c53aa1c", + "video": "evs_0f0c53aa1c.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_405dd1e5f8", + "video": "evs_405dd1e5f8.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_8f5ae5b865", + "video": "evs_8f5ae5b865.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_50815b9c8c", + "video": "evs_50815b9c8c.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "tailgating_13", + "video": "tailgating_13.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_866549be90", + "video": "evs_866549be90.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_e5ccfbd6bd", + "video": "evs_e5ccfbd6bd.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_d2523c5c64", + "video": "evs_d2523c5c64.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_f717d6dd57", + "video": "evs_f717d6dd57.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_110cbe0aac", + "video": "evs_110cbe0aac.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is anyone fighting?" + }, + { + "id": "evs_8e472b1db0", + "video": "evs_8e472b1db0.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is anyone fighting?" + }, + { + "id": "evs_abf9d9bc50", + "video": "evs_abf9d9bc50.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_c950abf04f", + "video": "evs_c950abf04f.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "Security_3_22", + "video": "Security_3_22.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is anyone fighting?" + }, + { + "id": "Security_2_23", + "video": "Security_2_23.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "Security_2_24", + "video": "Security_2_24.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "Security_2_25", + "video": "Security_2_25.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Entering is from left to right and exiting is from right to left, is anyone exiting with a cart full of equipment?" + }, + { + "id": "Security_2_26", + "video": "Security_2_26.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Entering is from left to right and exiting is from right to left, is anyone entering with a cart full of equipment?" + }, + { + "id": "GX010011_Clip_8_27", + "video": "GX010011_Clip_8_27.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is the hallway overcrowded?" + }, + { + "id": "GX010011_Clip_9_28", + "video": "GX010011_Clip_9_28.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Does everyone scan a badge to enter the room?" + }, + { + "id": "evs_f262e9ed6a", + "video": "evs_f262e9ed6a.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_48a0587066", + "video": "evs_48a0587066.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "evs_191151ccf4", + "video": "evs_191151ccf4.mp4", + "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did a person tailgate through the access gate without badging?" + }, + { + "id": "Warehouse_240219_GoPro_7_GX070600_100_3_2", + "video": "Warehouse_240219_GoPro_7_GX070600_100_3_2.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are all workers wearing PPE (hardhats and safety vests)?" + }, + { + "id": "Warehouse_240219_GoPro_7_GX010600_500_2_3", + "video": "Warehouse_240219_GoPro_7_GX010600_500_2_3.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is the path obstructed for the forklift to pass?" + }, + { + "id": "Warehouse_240219_GoPro_7_GX010600_500_1_4", + "video": "Warehouse_240219_GoPro_7_GX010600_500_1_4.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are the boxes properly stacked on the pallet loaded on the forklift?" + }, + { + "id": "Warehouse_240219_GoPro_7_GX010600_400_1_5", + "video": "Warehouse_240219_GoPro_7_GX010600_400_1_5.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is the path obstructed for the forklift to pass?" + }, + { + "id": "warehouse_1_600_4_6", + "video": "warehouse_1_600_4_6.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Did anyone experience a fall or end up on the ground?" + }, + { + "id": "warehouse_1_540_7", + "video": "warehouse_1_540_7.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is any person near or in close proximity to the box when it falls?" + }, + { + "id": "warehouse_1_540_4_8", + "video": "warehouse_1_540_4_8.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is the operator or a person using a cell phone while working?" + }, + { + "id": "warehouse_1_425_6_9", + "video": "warehouse_1_425_6_9.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is the operator or a person jumping from the ladder?" + }, + { + "id": "concat_wh_52_0_0_10", + "video": "concat_wh_52_0_0_10.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Does any box fall off the robot?" + }, + { + "id": "warehouse_1_425_4_11", + "video": "warehouse_1_425_4_11.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are the boxes properly stacked as the operator lifts?" + }, + { + "id": "warehouse_1_120_12", + "video": "warehouse_1_120_12.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Does the operator throw any boxes?" + }, + { + "id": "concat_wh_52_0_5_13", + "video": "concat_wh_52_0_5_13.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Does a box fall off the robot?" + }, + { + "id": "concat_wh_52_300_0_14", + "video": "concat_wh_52_300_0_14.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Does anyone walk in front of the forklift?" + }, + { + "id": "concat_wh_52_300_1_15", + "video": "concat_wh_52_300_1_15.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Does anyone walk in front of the forklift?" + }, + { + "id": "concat_wh_52_300_2_16", + "video": "concat_wh_52_300_2_16.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is the path of the forklift clear?" + }, + { + "id": "concat_wh_52_300_2_17", + "video": "concat_wh_52_300_2_17.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are the boxes properly stacked on the pallet that is loaded on the forklift?" + }, + { + "id": "concat_wh_52_300_1_18", + "video": "concat_wh_52_300_1_18.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are all workers wearing PPE?" + }, + { + "id": "concat_wh_52_300_3_19", + "video": "concat_wh_52_300_3_19.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are the boxes properly stacked on the pallet that is loaded on the forklift?" + }, + { + "id": "concat_wh_52_1890_0_20", + "video": "concat_wh_52_1890_0_20.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are all workers wearing PPE?" + }, + { + "id": "concat_wh_52_1890_4_21", + "video": "concat_wh_52_1890_4_21.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are any boxes crushed?" + }, + { + "id": "concat_wh_52_1890_4_22", + "video": "concat_wh_52_1890_4_22.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Do any boxes get dropped?" + }, + { + "id": "concat_wh_52_1890_5_23", + "video": "concat_wh_52_1890_5_23.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Are any boxes crushed?" + }, + { + "id": "concat_wh_52_1890_5_24", + "video": "concat_wh_52_1890_5_24.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Do any boxes get dropped?" + }, + { + "id": "concat_wh_52_1890_9_25", + "video": "concat_wh_52_1890_9_25.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is everyone wearing a hardhat and safety vest?" + }, + { + "id": "concat_wh_52_2925_1_26", + "video": "concat_wh_52_2925_1_26.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Do any boxes get dropped?" + }, + { + "id": "concat_wh_52_2925_27", + "video": "concat_wh_52_2925_27.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is anything blocking the path of the small yellow robot?" + }, + { + "id": "concat_wh_52_2925_28", + "video": "concat_wh_52_2925_28.mp4", + "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", + "question": "Is anything blocking the path of the forklift?" + } +] diff --git a/data/event_verification/data_jsons/annotations/tailgating_location_a.json b/data/event_verification/data_jsons/annotations/tailgating_location_a.json new file mode 100644 index 0000000000000000000000000000000000000000..cd611edc7258c045c87d77648a779322558e1f3b --- /dev/null +++ b/data/event_verification/data_jsons/annotations/tailgating_location_a.json @@ -0,0 +1,170 @@ +[ + { + "id": "10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_", + "video": "11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_", + "video": "11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_24_2025_sp_10_23_17_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_24_2025_sp_10_23_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_21_2025_sp_11_56_03_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_21_2025_sp_11_56_03_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_24_2025_sp_10_44_28_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_24_2025_sp_10_44_28_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_24_2025_sp_1_28_55_sp_PM_sp__lp_UTC-08_00_rp_", + "video": "11_24_2025_sp_1_28_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_", + "video": "10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_", + "video": "11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_", + "video": "11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + } +] diff --git a/data/event_verification/data_jsons/annotations/tailgating_location_b.json b/data/event_verification/data_jsons/annotations/tailgating_location_b.json new file mode 100644 index 0000000000000000000000000000000000000000..04e8e46078711ba7cc128e1adc67230f4427205d --- /dev/null +++ b/data/event_verification/data_jsons/annotations/tailgating_location_b.json @@ -0,0 +1,134 @@ +[ + { + "id": "evs_6a52f11dad", + "video": "evs_6a52f11dad.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_b561420691", + "video": "evs_b561420691.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_907fe737cf", + "video": "evs_907fe737cf.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_0ea91247d8", + "video": "evs_0ea91247d8.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_6ad1a891ad", + "video": "evs_6ad1a891ad.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_d0e459f682", + "video": "evs_d0e459f682.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_2e30648c0a", + "video": "evs_2e30648c0a.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_292daa255e", + "video": "evs_292daa255e.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_a9e180fff3", + "video": "evs_a9e180fff3.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_53f64ccbe8", + "video": "evs_53f64ccbe8.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_b982d3f339", + "video": "evs_b982d3f339.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_03018e0ecf", + "video": "evs_03018e0ecf.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_bf746e9608", + "video": "evs_bf746e9608.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_6e738337bc", + "video": "evs_6e738337bc.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_f979eb0318", + "video": "evs_f979eb0318.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_024ae78480", + "video": "evs_024ae78480.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_fa68a5a4f8", + "video": "evs_fa68a5a4f8.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_eed8192951", + "video": "evs_eed8192951.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_32231b0bd6", + "video": "evs_32231b0bd6.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_a713802c9d", + "video": "evs_a713802c9d.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_3f674e8c19", + "video": "evs_3f674e8c19.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + }, + { + "id": "evs_6a4da56832", + "video": "evs_6a4da56832.mp4", + "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", + "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." + } +] diff --git a/data/event_verification/data_jsons/annotations/warehouse_near_miss.json b/data/event_verification/data_jsons/annotations/warehouse_near_miss.json new file mode 100644 index 0000000000000000000000000000000000000000..8d2930110517bb692f06b0995bd665ea9ec04edd --- /dev/null +++ b/data/event_verification/data_jsons/annotations/warehouse_near_miss.json @@ -0,0 +1,278 @@ +[ + { + "id": "scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22", + "video": "scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15", + "video": "scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22", + "video": "scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18", + "video": "scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20", + "video": "scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20", + "video": "scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22", + "video": "scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20", + "video": "scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16", + "video": "scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18", + "video": "scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48", + "video": "scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16", + "video": "scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26", + "video": "scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20", + "video": "scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24", + "video": "scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22", + "video": "scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24", + "video": "scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20", + "video": "scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26", + "video": "scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30", + "video": "scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24", + "video": "scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30", + "video": "scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T1_C2_CS_S13T1_1-12-11-59_chunk_5__event_005_5", + "video": "Scene_13_S13T1_C2_CS_S13T1_1-12-11-59_chunk_5__event_005_5.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T3_C5_AS_S13T3_01-18-12-10_chunk_2__event_001_1", + "video": "Scene_13_S13T3_C5_AS_S13T3_01-18-12-10_chunk_2__event_001_1.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_5__event_008_8", + "video": "Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_5__event_008_8.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_6__event_001_1", + "video": "Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_6__event_001_1.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T4_C5_AS_S13T4_00-58-12-14_chunk_5__event_004_4", + "video": "Scene_13_S13T4_C5_AS_S13T4_00-58-12-14_chunk_5__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_1__event_004_4", + "video": "Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_1__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_5__event_004_4", + "video": "Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_5__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_6__event_001_1", + "video": "Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_6__event_001_1.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T5_C2_AS_S13T5_0-51-11-39_chunk_5__event_004_4", + "video": "Scene_13_S13T5_C2_AS_S13T5_0-51-11-39_chunk_5__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T5_C3_AS_S13T5_0-53-11-38_chunk_5__event_004_4", + "video": "Scene_13_S13T5_C3_AS_S13T5_0-53-11-38_chunk_5__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T5_C4_AS_S13T5_0-53-11-39_chunk_5__event_004_4", + "video": "Scene_13_S13T5_C4_AS_S13T5_0-53-11-39_chunk_5__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_13_S13T5_C6_AS_S13T5_00-29-11-15_chunk_5__event_003_3", + "video": "Scene_13_S13T5_C6_AS_S13T5_00-29-11-15_chunk_5__event_003_3.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_4_S4T4_C2_CV_S4T4_00-54-10-48_chunk_5__event_001_1", + "video": "Scene_4_S4T4_C2_CV_S4T4_00-54-10-48_chunk_5__event_001_1.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_4_S4T4_C4_CS_S4T4_00-54-10-48_chunk_4__event_003_3", + "video": "Scene_4_S4T4_C4_CS_S4T4_00-54-10-48_chunk_4__event_003_3.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_1__event_004_4", + "video": "Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_1__event_004_4.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_5__event_002_2", + "video": "Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_5__event_002_2.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26", + "video": "scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26", + "video": "scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26", + "video": "scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26", + "video": "scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26", + "video": "scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22", + "video": "scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50", + "video": "scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + }, + { + "id": "scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20", + "video": "scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20.mp4", + "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", + "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." + } +] diff --git a/data/event_verification/filtered/metropolis_event_verification/test_annotation.json b/data/event_verification/filtered/metropolis_event_verification/test_annotation.json deleted file mode 100644 index de8c1a030a1d9c773c780868a7aa943d782c469b..0000000000000000000000000000000000000000 --- a/data/event_verification/filtered/metropolis_event_verification/test_annotation.json +++ /dev/null @@ -1,406 +0,0 @@ -{ - "bcq": [ - { - "id": "traffic_chunks/LUPZNgg5idk_13", - "video": "traffic_chunks/LUPZNgg5idk_13.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "traffic_chunks/IpgfZf6Y2BE_14", - "video": "traffic_chunks/IpgfZf6Y2BE_14.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "traffic_chunks/IpgfZf6Y2BE_15", - "video": "traffic_chunks/IpgfZf6Y2BE_15.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "traffic_chunks/NOALQmAB4yE_16", - "video": "traffic_chunks/NOALQmAB4yE_16.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a vehicle collide with pedestrian?" - }, - { - "id": "traffic_chunks/SEb7p5oszeM_17", - "video": "traffic_chunks/SEb7p5oszeM_17.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a vehicle collide with a cyclist?" - }, - { - "id": "traffic_chunks/SEb7p5oszeM_18", - "video": "traffic_chunks/SEb7p5oszeM_18.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a vehicle collide with a pedestrian?" - }, - { - "id": "traffic_chunks/MmsgbcpWn-k_19", - "video": "traffic_chunks/MmsgbcpWn-k_19.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "traffic_chunks/MmsgbcpWn-k_20", - "video": "traffic_chunks/MmsgbcpWn-k_20.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "traffic_chunks/MmsgbcpWn-k_21", - "video": "traffic_chunks/MmsgbcpWn-k_21.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "traffic_chunks/NOALQmAB4yE_24", - "video": "traffic_chunks/NOALQmAB4yE_24.mp4", - "system_prompt": "You are a traffic monitoring system analyzing video of a street. Determine if a collision between vehicles, or vehicle and pedestrian or vehicle and cyclist has likely occurred.\nThe clip may not show the exact moment of impact, so use post-event evidence such as:\n- Vehicles in contact or showing visible damage (dents, debris, smoke, broken parts).\n- Pedestrian or cyclist on the ground, struck, or showing clear signs of impact or distress.. \n- Abnormal positions (intersecting, facing opposite directions, one against the side/rear of another).\n- Stationary vehicles remaining in contact or stopped in unnatural alignment.\n- Behavior inconsistent with normal driving (sudden halt, failure to separate, blocked motion).\n- Other unusual signs (e.g., airbags, leaking fluids, shattered glass) can also support the conclusion.\nA collision is \u201clikely\u201d if two or more independent cues strongly indicate impact, even if the collision itself is not shown. If evidence is weak or ambiguous, do not assume a collision.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a collision occur between two or more vehicles?" - }, - { - "id": "safety_chunks/evs_134db13b21", - "video": "safety_chunks/evs_134db13b21.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_99c1cd175d", - "video": "safety_chunks/evs_99c1cd175d.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_8cc3cd0258", - "video": "safety_chunks/evs_8cc3cd0258.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_bc929d97da", - "video": "safety_chunks/evs_bc929d97da.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_d897e4ada3", - "video": "safety_chunks/evs_d897e4ada3.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_c3e684b820", - "video": "safety_chunks/evs_c3e684b820.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_17560f2666", - "video": "safety_chunks/evs_17560f2666.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_0f0c53aa1c", - "video": "safety_chunks/evs_0f0c53aa1c.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_405dd1e5f8", - "video": "safety_chunks/evs_405dd1e5f8.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_8f5ae5b865", - "video": "safety_chunks/evs_8f5ae5b865.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_50815b9c8c", - "video": "safety_chunks/evs_50815b9c8c.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/tailgating_13", - "video": "safety_chunks/tailgating_13.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_866549be90", - "video": "safety_chunks/evs_866549be90.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_e5ccfbd6bd", - "video": "safety_chunks/evs_e5ccfbd6bd.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_d2523c5c64", - "video": "safety_chunks/evs_d2523c5c64.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_f717d6dd57", - "video": "safety_chunks/evs_f717d6dd57.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_110cbe0aac", - "video": "safety_chunks/evs_110cbe0aac.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is anyone fighting?" - }, - { - "id": "safety_chunks/evs_8e472b1db0", - "video": "safety_chunks/evs_8e472b1db0.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is anyone fighting?" - }, - { - "id": "safety_chunks/evs_abf9d9bc50", - "video": "safety_chunks/evs_abf9d9bc50.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_c950abf04f", - "video": "safety_chunks/evs_c950abf04f.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/Security_3_22", - "video": "safety_chunks/Security_3_22.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is anyone fighting?" - }, - { - "id": "safety_chunks/Security_2_23", - "video": "safety_chunks/Security_2_23.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/Security_2_24", - "video": "safety_chunks/Security_2_24.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/Security_2_25", - "video": "safety_chunks/Security_2_25.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Entering is from left to right and exiting is from right to left, is anyone exiting with a cart full of equipment?" - }, - { - "id": "safety_chunks/Security_2_26", - "video": "safety_chunks/Security_2_26.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Entering is from left to right and exiting is from right to left, is anyone entering with a cart full of equipment?" - }, - { - "id": "safety_chunks/GX010011_Clip_8_27", - "video": "safety_chunks/GX010011_Clip_8_27.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is the hallway overcrowded?" - }, - { - "id": "safety_chunks/GX010011_Clip_9_28", - "video": "safety_chunks/GX010011_Clip_9_28.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Does everyone scan a badge to enter the room?" - }, - { - "id": "safety_chunks/evs_f262e9ed6a", - "video": "safety_chunks/evs_f262e9ed6a.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_48a0587066", - "video": "safety_chunks/evs_48a0587066.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "safety_chunks/evs_191151ccf4", - "video": "safety_chunks/evs_191151ccf4.mp4", - "system_prompt": "You are a security monitoring system analyzing video of a access gate and hallways. \n\nGate Monitoring:\nWhen monitoring access gate, people are required to badge, the gate unlocks, and they enter. Determine whether a tailgating/piggybacking event has likely occurred (i.e., one or more people enter on a single authorization without individually badging).\nThe video clip shows the badge reader. Infer from post-event evidence such as:\n- Single gate-open event while multiple people pass through before the gate closes.\n- A follower enters closely behind the badged person (minimal gap in time or distance) without stopping at the reader or making a clear badging gesture.\n- The gate is held open/propped, or gate-open duration is longer than typical for a single entrant.\n- Multiple people cross the threshold during one gate cycle (gate does not close between them).\n- The leader looks back/holds the door while the follower does not badge.\n\nHallway Monitoring: \n- At the hallways look for fights and overcrowding.\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did a person tailgate through the access gate without badging?" - }, - { - "id": "warehouse_chunks/Warehouse_240219_GoPro_7_GX070600_100_3_2", - "video": "warehouse_chunks/Warehouse_240219_GoPro_7_GX070600_100_3_2.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are all workers wearing PPE (hardhats and safety vests)?" - }, - { - "id": "warehouse_chunks/Warehouse_240219_GoPro_7_GX010600_500_2_3", - "video": "warehouse_chunks/Warehouse_240219_GoPro_7_GX010600_500_2_3.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is the path obstructed for the forklift to pass?" - }, - { - "id": "warehouse_chunks/Warehouse_240219_GoPro_7_GX010600_500_1_4", - "video": "warehouse_chunks/Warehouse_240219_GoPro_7_GX010600_500_1_4.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are the boxes properly stacked on the pallet loaded on the forklift?" - }, - { - "id": "warehouse_chunks/Warehouse_240219_GoPro_7_GX010600_400_1_5", - "video": "warehouse_chunks/Warehouse_240219_GoPro_7_GX010600_400_1_5.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is the path obstructed for the forklift to pass?" - }, - { - "id": "warehouse_chunks/warehouse_1_600_4_6", - "video": "warehouse_chunks/warehouse_1_600_4_6.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Did anyone experience a fall or end up on the ground?" - }, - { - "id": "warehouse_chunks/warehouse_1_540_7", - "video": "warehouse_chunks/warehouse_1_540_7.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is any person near or in close proximity to the box when it falls?" - }, - { - "id": "warehouse_chunks/warehouse_1_540_4_8", - "video": "warehouse_chunks/warehouse_1_540_4_8.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is the operator or a person using a cell phone while working?" - }, - { - "id": "warehouse_chunks/warehouse_1_425_6_9", - "video": "warehouse_chunks/warehouse_1_425_6_9.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is the operator or a person jumping from the ladder?" - }, - { - "id": "warehouse_chunks/concat_wh_52_0_0_10", - "video": "warehouse_chunks/concat_wh_52_0_0_10.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Does any box fall off the robot?" - }, - { - "id": "warehouse_chunks/warehouse_1_425_4_11", - "video": "warehouse_chunks/warehouse_1_425_4_11.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are the boxes properly stacked as the operator lifts?" - }, - { - "id": "warehouse_chunks/warehouse_1_120_12", - "video": "warehouse_chunks/warehouse_1_120_12.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Does the operator throw any boxes?" - }, - { - "id": "warehouse_chunks/concat_wh_52_0_5_13", - "video": "warehouse_chunks/concat_wh_52_0_5_13.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Does a box fall off the robot?" - }, - { - "id": "warehouse_chunks/concat_wh_52_300_0_14", - "video": "warehouse_chunks/concat_wh_52_300_0_14.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Does anyone walk in front of the forklift?" - }, - { - "id": "warehouse_chunks/concat_wh_52_300_1_15", - "video": "warehouse_chunks/concat_wh_52_300_1_15.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Does anyone walk in front of the forklift?" - }, - { - "id": "warehouse_chunks/concat_wh_52_300_2_16", - "video": "warehouse_chunks/concat_wh_52_300_2_16.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is the path of the forklift clear?" - }, - { - "id": "warehouse_chunks/concat_wh_52_300_2_17", - "video": "warehouse_chunks/concat_wh_52_300_2_17.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are the boxes properly stacked on the pallet that is loaded on the forklift?" - }, - { - "id": "warehouse_chunks/concat_wh_52_300_1_18", - "video": "warehouse_chunks/concat_wh_52_300_1_18.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are all workers wearing PPE?" - }, - { - "id": "warehouse_chunks/concat_wh_52_300_3_19", - "video": "warehouse_chunks/concat_wh_52_300_3_19.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are the boxes properly stacked on the pallet that is loaded on the forklift?" - }, - { - "id": "warehouse_chunks/concat_wh_52_1890_0_20", - "video": "warehouse_chunks/concat_wh_52_1890_0_20.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are all workers wearing PPE?" - }, - { - "id": "warehouse_chunks/concat_wh_52_1890_4_21", - "video": "warehouse_chunks/concat_wh_52_1890_4_21.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are any boxes crushed?" - }, - { - "id": "warehouse_chunks/concat_wh_52_1890_4_22", - "video": "warehouse_chunks/concat_wh_52_1890_4_22.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Do any boxes get dropped?" - }, - { - "id": "warehouse_chunks/concat_wh_52_1890_5_23", - "video": "warehouse_chunks/concat_wh_52_1890_5_23.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Are any boxes crushed?" - }, - { - "id": "warehouse_chunks/concat_wh_52_1890_5_24", - "video": "warehouse_chunks/concat_wh_52_1890_5_24.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Do any boxes get dropped?" - }, - { - "id": "warehouse_chunks/concat_wh_52_1890_9_25", - "video": "warehouse_chunks/concat_wh_52_1890_9_25.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is everyone wearing a hardhat and safety vest?" - }, - { - "id": "warehouse_chunks/concat_wh_52_2925_1_26", - "video": "warehouse_chunks/concat_wh_52_2925_1_26.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Do any boxes get dropped?" - }, - { - "id": "warehouse_chunks/concat_wh_52_2925_27", - "video": "warehouse_chunks/concat_wh_52_2925_27.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is anything blocking the path of the small yellow robot?" - }, - { - "id": "warehouse_chunks/concat_wh_52_2925_28", - "video": "warehouse_chunks/concat_wh_52_2925_28.mp4", - "system_prompt": "You are a warehouse monitoring system analyzing video footage. Your task is to answer safety and compliance questions strictly with \"Yes\" or \"No\".\nThe clip may not show the entire event, so rely on visible evidence. Infer from post-event evidence: \n- PPE compliance (hardhats, safety vests, etc.).\n- Path clear or obstructed for forklifts or robots.\n- Boxes stacked properly on pallets or being lifted.\n- Boxes crushed, dropped, or falling off forklifts/robots/operators.\n- Operator behavior (falling, using cell phone, throwing boxes).\n- Human safety risks (walking in front of forklift, near falling boxes, jumping from ladders).\n\nConfirm \"Yes\" only when visual evidence is clear.\nOtherwise, answer \"No\".", - "question": "Is anything blocking the path of the forklift?" - } - ] -} \ No newline at end of file diff --git a/data/event_verification/filtered/tailgating/location_a/test_annotation.json b/data/event_verification/filtered/tailgating/location_a/test_annotation.json deleted file mode 100644 index 33886fde2bdc9d513e89a0b44cb5c971cf285963..0000000000000000000000000000000000000000 --- a/data/event_verification/filtered/tailgating/location_a/test_annotation.json +++ /dev/null @@ -1,172 +0,0 @@ -{ - "bcq": [ - { - "id": "videos/site_1/category_tailgate/10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_24_2025_sp_10_23_17_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_24_2025_sp_10_23_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/11_21_2025_sp_11_56_03_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_tailgate/11_21_2025_sp_11_56_03_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_24_2025_sp_10_44_28_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_24_2025_sp_10_44_28_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_24_2025_sp_1_28_55_sp_PM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_24_2025_sp_1_28_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_tailgate/11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_tailgate/10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_", - "video": "videos/site_1/category_tailgate/10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/site_1/category_badge/11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_", - "video": "videos/site_1/category_badge/11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - } - ] -} \ No newline at end of file diff --git a/data/event_verification/filtered/tailgating/location_b/test_annotation.json b/data/event_verification/filtered/tailgating/location_b/test_annotation.json deleted file mode 100644 index e55c7066015814f3840fa7fea2b3ec0e271e65ec..0000000000000000000000000000000000000000 --- a/data/event_verification/filtered/tailgating/location_b/test_annotation.json +++ /dev/null @@ -1,136 +0,0 @@ -{ - "bcq": [ - { - "id": "videos/redacted/evs_6a52f11dad", - "video": "videos/redacted/evs_6a52f11dad.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_b561420691", - "video": "videos/redacted/evs_b561420691.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_907fe737cf", - "video": "videos/redacted/evs_907fe737cf.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_0ea91247d8", - "video": "videos/redacted/evs_0ea91247d8.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_6ad1a891ad", - "video": "videos/redacted/evs_6ad1a891ad.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_d0e459f682", - "video": "videos/redacted/evs_d0e459f682.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_2e30648c0a", - "video": "videos/redacted/evs_2e30648c0a.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_292daa255e", - "video": "videos/redacted/evs_292daa255e.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_a9e180fff3", - "video": "videos/redacted/evs_a9e180fff3.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_53f64ccbe8", - "video": "videos/redacted/evs_53f64ccbe8.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_b982d3f339", - "video": "videos/redacted/evs_b982d3f339.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_03018e0ecf", - "video": "videos/redacted/evs_03018e0ecf.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_bf746e9608", - "video": "videos/redacted/evs_bf746e9608.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_6e738337bc", - "video": "videos/redacted/evs_6e738337bc.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_f979eb0318", - "video": "videos/redacted/evs_f979eb0318.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_024ae78480", - "video": "videos/redacted/evs_024ae78480.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_fa68a5a4f8", - "video": "videos/redacted/evs_fa68a5a4f8.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_eed8192951", - "video": "videos/redacted/evs_eed8192951.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_32231b0bd6", - "video": "videos/redacted/evs_32231b0bd6.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_a713802c9d", - "video": "videos/redacted/evs_a713802c9d.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_3f674e8c19", - "video": "videos/redacted/evs_3f674e8c19.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - }, - { - "id": "videos/redacted/evs_6a4da56832", - "video": "videos/redacted/evs_6a4da56832.mp4", - "system_prompt": "You are an expert AI assistant for video analysis. Your task is to accurately classify whether a surveillance video depicts **normal access** or **tailgating** behavior, based on the strict definitions below.\n\n# Category Definitions\n\n- **Normal Access**: \nA person (or group) enters a secure area **properly authenticated** (e.g., by using a badge, keycard, or biometric system). Only those with authorization enter. There is **no evidence of security breach** or abnormal entry. \n\n- **Tailgating**: \nOne or more individuals **enter a secure area without authorization** by following closely behind an authorized person who has legitimately gained access. The unauthorized individual does not use valid credentials but takes advantage of the door being open. This includes: \n- Following immediately behind someone with a badge swipe. \n- Entering as part of a group where only the first person authenticates. \n- Entering without any visible authentication while leveraging someone else's access.", - "question": "Does the video depict tailgating behavior? Answer \"Yes\" or \"No\"." - } - ] -} \ No newline at end of file diff --git a/data/event_verification/filtered/warehouse_near_miss/test_annotations.json b/data/event_verification/filtered/warehouse_near_miss/test_annotations.json deleted file mode 100644 index 5a1377d6dee1f2369e5ceb23107c1a249ebb51ca..0000000000000000000000000000000000000000 --- a/data/event_verification/filtered/warehouse_near_miss/test_annotations.json +++ /dev/null @@ -1,280 +0,0 @@ -{ - "bcq": [ - { - "id": "positive/scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22", - "video": "positive/scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15", - "video": "positive/scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22", - "video": "positive/scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18", - "video": "positive/scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20", - "video": "positive/scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20", - "video": "positive/scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22", - "video": "positive/scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20", - "video": "positive/scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16", - "video": "positive/scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18", - "video": "positive/scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48", - "video": "positive/scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16", - "video": "positive/scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26", - "video": "positive/scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20", - "video": "positive/scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24", - "video": "positive/scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22", - "video": "positive/scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24", - "video": "positive/scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20", - "video": "positive/scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26", - "video": "positive/scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30", - "video": "positive/scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24", - "video": "positive/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "positive/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30", - "video": "positive/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T1_C2_CS_S13T1_1-12-11-59_chunk_5__event_005_5", - "video": "negative/Scene_13_S13T1_C2_CS_S13T1_1-12-11-59_chunk_5__event_005_5.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T3_C5_AS_S13T3_01-18-12-10_chunk_2__event_001_1", - "video": "negative/Scene_13_S13T3_C5_AS_S13T3_01-18-12-10_chunk_2__event_001_1.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_5__event_008_8", - "video": "negative/Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_5__event_008_8.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_6__event_001_1", - "video": "negative/Scene_13_S13T4_C4_AS_S13T4_1-12-12-28_chunk_6__event_001_1.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T4_C5_AS_S13T4_00-58-12-14_chunk_5__event_004_4", - "video": "negative/Scene_13_S13T4_C5_AS_S13T4_00-58-12-14_chunk_5__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_1__event_004_4", - "video": "negative/Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_1__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_5__event_004_4", - "video": "negative/Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_5__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_6__event_001_1", - "video": "negative/Scene_13_S13T4_C6_AS_S13T4_00-43-11-59_chunk_6__event_001_1.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T5_C2_AS_S13T5_0-51-11-39_chunk_5__event_004_4", - "video": "negative/Scene_13_S13T5_C2_AS_S13T5_0-51-11-39_chunk_5__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T5_C3_AS_S13T5_0-53-11-38_chunk_5__event_004_4", - "video": "negative/Scene_13_S13T5_C3_AS_S13T5_0-53-11-38_chunk_5__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T5_C4_AS_S13T5_0-53-11-39_chunk_5__event_004_4", - "video": "negative/Scene_13_S13T5_C4_AS_S13T5_0-53-11-39_chunk_5__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_13_S13T5_C6_AS_S13T5_00-29-11-15_chunk_5__event_003_3", - "video": "negative/Scene_13_S13T5_C6_AS_S13T5_00-29-11-15_chunk_5__event_003_3.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_4_S4T4_C2_CV_S4T4_00-54-10-48_chunk_5__event_001_1", - "video": "negative/Scene_4_S4T4_C2_CV_S4T4_00-54-10-48_chunk_5__event_001_1.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_4_S4T4_C4_CS_S4T4_00-54-10-48_chunk_4__event_003_3", - "video": "negative/Scene_4_S4T4_C4_CS_S4T4_00-54-10-48_chunk_4__event_003_3.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_1__event_004_4", - "video": "negative/Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_1__event_004_4.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_5__event_002_2", - "video": "negative/Scene_4_S4T4_C6_CS_S4T4_00-54-10-48_chunk_5__event_002_2.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26", - "video": "negative/scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26", - "video": "negative/scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26", - "video": "negative/scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26", - "video": "negative/scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26", - "video": "negative/scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22", - "video": "negative/scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50", - "video": "negative/scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - }, - { - "id": "negative/scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20", - "video": "negative/scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20.mp4", - "system_prompt": "You are an industrial safety analyst reviewing warehouse video. Determine whether the clip depicts a near-miss collision between a person and a forklift (or other powered vehicle). Answer Yes or No.", - "question": "Please tell whether the video contains near-miss collision between person and forklift. Your final answer should be either Yes or No." - } - ] -} diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_15_2025_sp_8_35_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_15_2025_sp_8_38_19_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_15_2025_sp_8_39_16_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_16_2025_sp_9_00_13_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_16_2025_sp_9_10_29_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_09_05_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_12_31_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_15_08_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_22_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_30_25_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_32_48_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_46_58_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_25_2025_sp_6_48_55_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_8_2025_sp_8_38_03_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_8_2025_sp_8_43_54_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_9_2025_sp_8_48_30_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 b/data/event_verification/videos/10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 rename to data/event_verification/videos/10_9_2025_sp_8_51_57_sp_PM_sp__lp_UTC-07_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_20_2025_sp_1_01_55_sp_PM_sp__lp_UTC-08_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_20_2025_sp_4_13_08_sp_PM_sp__lp_UTC-08_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_21_2025_sp_11_18_34_sp_AM_sp__lp_UTC-08_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_21_2025_sp_11_40_45_sp_AM_sp__lp_UTC-08_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_21_2025_sp_11_55_17_sp_AM_sp__lp_UTC-08_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_tailgate/11_21_2025_sp_11_56_03_sp_AM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_21_2025_sp_11_56_03_sp_AM_sp__lp_UTC-08_00_rp_.mp4 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a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_24_2025_sp_2_57_33_sp_PM_sp__lp_UTC-08_00_rp_.mp4 diff --git a/data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_.mp4 b/data/event_verification/videos/11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_.mp4 similarity index 100% rename from data/event_verification/filtered/tailgating/location_a/videos/site_1/category_badge/11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_.mp4 rename to data/event_verification/videos/11_24_2025_sp_9_44_18_sp_AM_sp__lp_UTC-08_00_rp_.mp4 diff 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b/data/event_verification/videos/scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26.mp4 rename to data/event_verification/videos/scene_01_01_00-00-00_to_00-07-34_GoPro1_Calibration_with_people_walking_around_06-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26.mp4 b/data/event_verification/videos/scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26.mp4 rename to data/event_verification/videos/scene_02_01_00-07-34_to_00-11-38_GoPro1_Forklifts_being_moved_out_of_the_way_06-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26.mp4 b/data/event_verification/videos/scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26.mp4 rename to data/event_verification/videos/scene_04_01_00-11-38_to_00-19-46_GoPro1_Forklift_entering_the_aisle_no_pedestrians_around_06-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26.mp4 b/data/event_verification/videos/scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26.mp4 rename to data/event_verification/videos/scene_05_01_00-19-46_to_00-21-03_GoPro1_Fork_Lift_crossing_people_crossing_afterwards_06-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26.mp4 b/data/event_verification/videos/scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26.mp4 rename to data/event_verification/videos/scene_06_01_00-21-03_to_00-23-52_GoPro1_Fork_Lift_crossing_people_following_the_forklift_06-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22.mp4 b/data/event_verification/videos/scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22.mp4 rename to data/event_verification/videos/scene_07_01_00-23-52_to_00-25-33_GoPro1_Fork_Lift_stopped_while_person_crossing_the_isle_08-22.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15.mp4 b/data/event_verification/videos/scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15.mp4 rename to data/event_verification/videos/scene_08_01_00-00-46_to_00-02-20_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_01-15.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22.mp4 b/data/event_verification/videos/scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22.mp4 rename to data/event_verification/videos/scene_08_02_00-02-20_to_00-04-56_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_08-22.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18.mp4 b/data/event_verification/videos/scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18.mp4 rename to data/event_verification/videos/scene_08_03_00-04-56_to_00-08-15_GoPro1_Fork_Lift_crossing_while_person_running_in_front_of_it_04-18.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20.mp4 b/data/event_verification/videos/scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20.mp4 rename to data/event_verification/videos/scene_09_01_00-08-15_to_00-10-22_GoPro1_Fork_Lift_moving_while_person_on_the_phone_crossing_the_isle_06-20.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20.mp4 b/data/event_verification/videos/scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20.mp4 rename to data/event_verification/videos/scene_10_01_00-10-22_to_00-13-12_GoPro1_Fork_Lift_moving_while_person_crossing_the_isle_06-20.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22.mp4 b/data/event_verification/videos/scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22.mp4 rename to data/event_verification/videos/scene_11_01_00-13-12_to_00-16-16_GoPro1_Fork_Lift_moving_while_multiple_people_in_the_scene_04-22.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20.mp4 b/data/event_verification/videos/scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20.mp4 rename to data/event_verification/videos/scene_12_01_00-16-16_to_00-17-31_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_06-20.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16.mp4 b/data/event_verification/videos/scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16.mp4 rename to data/event_verification/videos/scene_12_02_00-17-31_to_00-19-50_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_02-16.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18.mp4 b/data/event_verification/videos/scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18.mp4 rename to data/event_verification/videos/scene_14_01_00-19-50_to_00-22-54_GoPro1_Fork_Lift_moving_while_person_walking_behind_the_forklift_04-18.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48.mp4 b/data/event_verification/videos/scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48.mp4 rename to data/event_verification/videos/scene_16_01_00-22-54_to_00-25-38_GoPro1_person_walking_in_front_of_fork_lift_04-48.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16.mp4 b/data/event_verification/videos/scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16.mp4 rename to data/event_verification/videos/scene_17_01_00-25-38_to_00-27-32_GoPro1_person_running_in_front_of_fork_lift_02-16.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26.mp4 b/data/event_verification/videos/scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26.mp4 rename to data/event_verification/videos/scene_17_02_00-27-32_to_00-30-55_GoPro1_person_running_in_front_of_fork_lift_02-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20.mp4 b/data/event_verification/videos/scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20.mp4 rename to data/event_verification/videos/scene_18_01_00-30-55_to_00-33-57_GoPro1_person_jumping_to_not_get_hit_by_the_forklift_00-20.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24.mp4 b/data/event_verification/videos/scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24.mp4 rename to data/event_verification/videos/scene_19_01_00-33-57_to_00-35-41_GoPro1_fork_lift_moving_backwards_person_cutting_in_front_of_the_fo_04-24.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22.mp4 b/data/event_verification/videos/scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22.mp4 rename to data/event_verification/videos/scene_20_01_00-35-41_to_00-37-23_GoPro1_fork_lift_going_backwards_person_running_passed_04-22.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24.mp4 b/data/event_verification/videos/scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24.mp4 rename to data/event_verification/videos/scene_21_01_00-37-23_to_00-39-30_GoPro1_fork_lift_going_backwards_person_stops_06-24.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20.mp4 b/data/event_verification/videos/scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20.mp4 rename to data/event_verification/videos/scene_22_01_00-39-30_to_00-45-36_GoPro1_fork_lift_moving_person_hesitating_and_stepping_back_01-20.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26.mp4 b/data/event_verification/videos/scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26.mp4 rename to data/event_verification/videos/scene_23_01_00-45-36_to_00-49-03_GoPro1_boxes_blocking_the_view_of_the_driver_and_person_crossing_06-26.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30.mp4 b/data/event_verification/videos/scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30.mp4 rename to data/event_verification/videos/scene_25_01_00-02-02_to_00-05-05_GoPro1_person_working_on_boxes_while_fork_lift_approaches_06-30.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4 b/data/event_verification/videos/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4 rename to data/event_verification/videos/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/positive/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4 b/data/event_verification/videos/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/positive/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4 rename to data/event_verification/videos/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22.mp4 b/data/event_verification/videos/scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22.mp4 rename to data/event_verification/videos/scene_28_01_00-15-25_to_00-27-58_GoPro1_boxes_falling_04-22.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50.mp4 b/data/event_verification/videos/scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50.mp4 rename to data/event_verification/videos/scene_29_01_00-01-07_to_00-10-18_GoPro1_driver_picks_up_trash_00-50.mp4 diff --git a/data/event_verification/filtered/warehouse_near_miss/negative/scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20.mp4 b/data/event_verification/videos/scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20.mp4 similarity index 100% rename from data/event_verification/filtered/warehouse_near_miss/negative/scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20.mp4 rename to data/event_verification/videos/scene_29_01_00-09-27_to_00-12-53_GoPro1_driver_picks_up_trash_00-20.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/safety_chunks/tailgating_13.mp4 b/data/event_verification/videos/tailgating_13.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/safety_chunks/tailgating_13.mp4 rename to data/event_verification/videos/tailgating_13.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_120_12.mp4 b/data/event_verification/videos/warehouse_1_120_12.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_120_12.mp4 rename to data/event_verification/videos/warehouse_1_120_12.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_425_4_11.mp4 b/data/event_verification/videos/warehouse_1_425_4_11.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_425_4_11.mp4 rename to data/event_verification/videos/warehouse_1_425_4_11.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_425_6_9.mp4 b/data/event_verification/videos/warehouse_1_425_6_9.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_425_6_9.mp4 rename to data/event_verification/videos/warehouse_1_425_6_9.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_540_4_8.mp4 b/data/event_verification/videos/warehouse_1_540_4_8.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_540_4_8.mp4 rename to data/event_verification/videos/warehouse_1_540_4_8.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_540_7.mp4 b/data/event_verification/videos/warehouse_1_540_7.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_540_7.mp4 rename to data/event_verification/videos/warehouse_1_540_7.mp4 diff --git a/data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_600_4_6.mp4 b/data/event_verification/videos/warehouse_1_600_4_6.mp4 similarity index 100% rename from data/event_verification/filtered/metropolis_event_verification/warehouse_chunks/warehouse_1_600_4_6.mp4 rename to data/event_verification/videos/warehouse_1_600_4_6.mp4 diff --git a/data/pointing/VANTAGE_2DPointing.jsonl b/data/pointing/VANTAGE_2DPointing.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f42aefdf7cfa6d6cde6ab4943abb62c7da174417 --- /dev/null +++ b/data/pointing/VANTAGE_2DPointing.jsonl @@ 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"335,723", "D": "397,714"} +{"index": 31, "question_id": "000050__quadrant_hint_3", "image_path": "images_annotated/000050_000050__quadrant_hint_3.jpg", "question": "Point to the road sign in the lower right.", "A": "749,738", "B": "954,669", "C": "416,719", "D": "783,519"} +{"index": 32, "question_id": "000055__largest_in_class_6", "image_path": "images_annotated/000055_000055__largest_in_class_6.jpg", "question": "Which car is the largest in the left lane?", "A": "369,722", "B": "386,719", "C": "397,714", "D": "336,722"} +{"index": 33, "question_id": "000055__pair_size_4", "image_path": "images_annotated/000055_000055__pair_size_4.jpg", "question": "Which person is the larger of the two standing on the sidewalk?", "A": "783,518", "B": "746,739", "C": "954,668", "D": "416,719"} +{"index": 34, "question_id": "000055__quadrant_hint_3", "image_path": "images_annotated/000055_000055__quadrant_hint_3.jpg", "question": "Find the road sign on the right side of the street.", "A": "783,518", "B": "751,737", "C": "954,668", "D": "416,719"} +{"index": 35, "question_id": "000060__smallest_in_class_10", "image_path": "images_annotated/000060_000060__smallest_in_class_10.jpg", "question": "Which person is the smallest in the pair on the right?", "A": "749,739", "B": "784,518", "C": "756,738", "D": "954,668"} +{"index": 36, "question_id": "000060__largest_in_class_5", "image_path": "images_annotated/000060_000060__largest_in_class_5.jpg", "question": "Which car is the largest in the group on the left side of the road?", "A": "370,722", "B": "335,722", "C": "386,719", "D": "397,714"} +{"index": 37, "question_id": "000060__pair_size_9", "image_path": "images_annotated/000060_000060__pair_size_9.jpg", "question": "Point to the larger person standing on the right sidewalk.", "A": "756,738", "B": "784,518", "C": "749,739", "D": "954,668"} +{"index": 38, "question_id": "000065__pair_size_4", "image_path": "images_annotated/000065_000065__pair_size_4.jpg", "question": "Which person is the larger one in the pair?", "A": "783,519", "B": "416,719", "C": "753,739", "D": "397,714"} +{"index": 39, "question_id": "000065__largest_in_class_1", "image_path": "images_annotated/000065_000065__largest_in_class_1.jpg", "question": "Which car is the largest in the image?", "A": "335,721", "B": "369,723", "C": "386,718", "D": "397,714"} +{"index": 40, "question_id": "000065__relation_nearest_to_unique_3", "image_path": "images_annotated/000065_000065__relation_nearest_to_unique_3.jpg", "question": "Which person is closest to the road sign?", "A": "783,519", "B": "416,719", "C": "758,740", "D": "397,714"} +{"index": 41, "question_id": "000070__relation_nearest_to_unique_3", "image_path": "images_annotated/000070_000070__relation_nearest_to_unique_3.jpg", "question": "Which car is nearest to the road sign?", "A": "416,719", "B": "397,714", "C": "386,718", "D": "954,668"} +{"index": 42, "question_id": "000070__unique_class_0", "image_path": "images_annotated/000070_000070__unique_class_0.jpg", "question": "Point to the road sign on the traffic light pole.", "A": "783,518", "B": "761,738", "C": "954,668", "D": "416,719"} +{"index": 43, "question_id": "000070__relation_nearest_to_unique_4", "image_path": "images_annotated/000070_000070__relation_nearest_to_unique_4.jpg", "question": "Which person is closest to the road sign?", "A": "783,518", "B": "954,668", "C": "761,738", "D": "416,719"} +{"index": 44, "question_id": "000075__rightmost_in_class_8", "image_path": "images_annotated/000075_000075__rightmost_in_class_8.jpg", "question": "Which car is the rightmost one in the image?", "A": "954,668", "B": "416,719", "C": "397,714", "D": "387,718"} +{"index": 45, "question_id": "000075__largest_in_class_5", "image_path": "images_annotated/000075_000075__largest_in_class_5.jpg", "question": "Which person is the largest in the scene?", "A": "783,518", "B": "760,740", "C": "954,668", "D": "416,719"} +{"index": 46, "question_id": "000080__relation_nearest_to_unique_4", "image_path": "images_annotated/000080_000080__relation_nearest_to_unique_4.jpg", "question": "Which car is nearest to the road sign?", "A": "954,668", "B": "416,719", "C": "397,714", "D": "387,719"} +{"index": 47, "question_id": "000080__smallest_in_class_2", "image_path": "images_annotated/000080_000080__smallest_in_class_2.jpg", "question": "Which person is the smallest in the image?", "A": "783,518", "B": "954,668", "C": "416,719", "D": "766,740"} +{"index": 48, "question_id": "000080__pair_size_3", "image_path": "images_annotated/000080_000080__pair_size_3.jpg", "question": "Where is the larger person in the pair?", "A": "783,518", "B": "762,741", "C": "954,668", "D": "416,719"} +{"index": 49, "question_id": "000085__largest_in_class_7", "image_path": "images_annotated/000085_000085__largest_in_class_7.jpg", "question": "Which person is the largest on the right side of the road?", "A": "784,518", "B": "954,668", "C": "416,719", "D": "765,741"} +{"index": 50, "question_id": "000085__relation_nearest_to_unique_5", "image_path": "images_annotated/000085_000085__relation_nearest_to_unique_5.jpg", "question": "Point to the person standing on the right side of the crosswalk.", "A": "770,740", "B": "784,518", "C": "954,668", "D": "416,719"} +{"index": 51, "question_id": "000090__relation_nearest_to_unique_6", "image_path": "images_annotated/000090_000090__relation_nearest_to_unique_6.jpg", "question": "Which person is closest to the road sign?", "A": "784,516", "B": "767,741", "C": "954,668", "D": "416,719"} +{"index": 52, "question_id": "000090__quadrant_hint_8", "image_path": "images_annotated/000090_000090__quadrant_hint_8.jpg", "question": "Point to the road sign in the lower right quadrant.", "A": "784,516", "B": "767,741", "C": "954,668", "D": "416,719"} +{"index": 53, "question_id": "000095__quadrant_hint_2", "image_path": "images_annotated/000095_000095__quadrant_hint_2.jpg", "question": "Point to the car in the lower right quadrant.", "A": "417,719", "B": "397,715", "C": "954,668", "D": "386,719"} +{"index": 54, "question_id": "000095__smallest_in_class_3", "image_path": "images_annotated/000095_000095__smallest_in_class_3.jpg", "question": "Where is the smallest person in the image?", "A": "784,516", "B": "954,668", "C": "417,719", "D": "775,742"} +{"index": 55, "question_id": "000095__unique_class_4", "image_path": "images_annotated/000095_000095__unique_class_4.jpg", "question": "Tap the road sign on the pole.", "A": "770,741", "B": "954,668", "C": "784,516", "D": "417,719"} +{"index": 56, "question_id": "000100__largest_in_class_3", "image_path": "images_annotated/000100_000100__largest_in_class_3.jpg", "question": "Which car is the largest in the group on the left side of the road?", "A": "369,723", "B": "335,722", "C": "386,718", "D": "397,715"} +{"index": 57, "question_id": "000100__pair_size_5", "image_path": "images_annotated/000100_000100__pair_size_5.jpg", "question": "Which person is the larger of the two standing together on the right?", "A": "783,516", "B": "954,668", "C": "773,743", "D": "417,719"} +{"index": 58, "question_id": "000100__rightmost_in_class_7", "image_path": "images_annotated/000100_000100__rightmost_in_class_7.jpg", "question": "Which car is the rightmost one in the image?", "A": "417,719", "B": "397,715", "C": "386,718", "D": "954,668"} +{"index": 59, "question_id": "000105__largest_in_class_0", "image_path": "images_annotated/000105_000105__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "368,723", "B": "335,722", "C": "385,719", "D": "396,714"} +{"index": 60, "question_id": "000105__quadrant_hint_8", "image_path": "images_annotated/000105_000105__quadrant_hint_8.jpg", "question": "Point to the car on the far right side of the image.", "A": "416,719", "B": "396,714", "C": "954,668", "D": "385,719"} +{"index": 61, "question_id": "000105__smallest_in_class_3", "image_path": "images_annotated/000105_000105__smallest_in_class_3.jpg", "question": "Find the smallest car in the image.", "A": "13,685", "B": "24,691", "C": "40,700", "D": "335,722"} +{"index": 62, "question_id": "000110__relation_left_of_unique_2", "image_path": "images_annotated/000110_000110__relation_left_of_unique_2.jpg", "question": "Where is the person standing to the left of the other person?", "A": "784,744", "B": "783,516", "C": "954,668", "D": "778,744"} +{"index": 63, "question_id": "000110__unique_class_0", "image_path": "images_annotated/000110_000110__unique_class_0.jpg", "question": "Point to the road sign on the traffic light pole.", "A": "783,516", "B": "784,744", "C": "778,744", "D": "954,668"} +{"index": 64, "question_id": "000115__relation_right_of_unique_3", "image_path": "images_annotated/000115_000115__relation_right_of_unique_3.jpg", "question": "Point to the person on the right side of the pair.", "A": "784,518", "B": "787,744", "C": "954,668", "D": "416,719"} +{"index": 65, "question_id": "000115__largest_in_class_4", "image_path": "images_annotated/000115_000115__largest_in_class_4.jpg", "question": "Which person is the largest in the image?", "A": "784,518", "B": "954,668", "C": "416,719", "D": "782,744"} +{"index": 66, "question_id": "000120__rightmost_in_class_0", "image_path": "images_annotated/000120_000120__rightmost_in_class_0.jpg", "question": "Find the rightmost car in the scene.", "A": "416,719", "B": "397,715", "C": "954,669", "D": "385,719"} +{"index": 67, "question_id": "000120__unique_class_1", "image_path": "images_annotated/000120_000120__unique_class_1.jpg", "question": "Where is the road sign in the image?", "A": "783,518", "B": "786,744", "C": "793,744", "D": "954,669"} +{"index": 68, "question_id": "000120__largest_in_class_2", "image_path": "images_annotated/000120_000120__largest_in_class_2.jpg", "question": "Which car is the largest in the image?", "A": "367,723", "B": "385,719", "C": "397,715", "D": "335,722"} +{"index": 69, "question_id": "000125__largest_in_class_3", "image_path": "images_annotated/000125_000125__largest_in_class_3.jpg", "question": "Find the largest person on the sidewalk.", "A": "788,745", "B": "795,746", "C": "784,516", "D": "416,719"} +{"index": 70, "question_id": "000125__relation_nearest_to_unique_5", "image_path": "images_annotated/000125_000125__relation_nearest_to_unique_5.jpg", "question": "Point to the car that is nearest to the person on the sidewalk.", "A": "396,715", "B": "385,719", "C": "416,719", "D": "365,723"} +{"index": 71, "question_id": "000125__pair_size_0", "image_path": "images_annotated/000125_000125__pair_size_0.jpg", "question": "Which person is the smaller one standing on the sidewalk?", "A": "788,745", "B": "784,516", "C": "795,746", "D": "416,719"} +{"index": 72, "question_id": "000130__largest_in_class_5", "image_path": "images_annotated/000130_000130__largest_in_class_5.jpg", "question": "Find the largest car in the line of traffic.", "A": "365,724", "B": "335,722", "C": "385,719", "D": "396,715"} +{"index": 73, "question_id": "000130__smallest_in_class_3", "image_path": "images_annotated/000130_000130__smallest_in_class_3.jpg", "question": "Which person is the smallest in the image?", "A": "798,744", "B": "784,519", "C": "954,668", "D": "416,719"} +{"index": 74, "question_id": "000130__pair_size_2", "image_path": "images_annotated/000130_000130__pair_size_2.jpg", "question": "Which person is the larger of the two standing on the sidewalk?", "A": "784,519", "B": "954,668", "C": "795,744", "D": "416,719"} +{"index": 75, "question_id": "000135__rightmost_in_class_1", "image_path": "images_annotated/000135_000135__rightmost_in_class_1.jpg", "question": "Which car is the rightmost one in the scene?", "A": "954,668", "B": "416,720", "C": "396,714", "D": "384,719"} +{"index": 76, "question_id": "000135__relation_nearest_to_unique_0", "image_path": "images_annotated/000135_000135__relation_nearest_to_unique_0.jpg", "question": "Find the car nearest to the person with the umbrella.", "A": "783,515", "B": "954,668", "C": "416,720", "D": "801,746"} +{"index": 77, "question_id": "000140__relation_nearest_to_unique_9", "image_path": "images_annotated/000140_000140__relation_nearest_to_unique_9.jpg", "question": "Find the road sign nearest to the person with the umbrella.", "A": "784,518", "B": "954,668", "C": "788,632", "D": "416,720"} +{"index": 78, "question_id": "000140__quadrant_hint_2", "image_path": "images_annotated/000140_000140__quadrant_hint_2.jpg", "question": "Where is the road sign in the lower right quadrant?", "A": "804,746", "B": "784,518", "C": "954,668", "D": "416,720"} +{"index": 79, "question_id": "000145__smallest_in_class_2", "image_path": "images_annotated/000145_000145__smallest_in_class_2.jpg", "question": "Find the smallest person in the image.", "A": "810,744", "B": "784,518", "C": "954,668", "D": "817,744"} +{"index": 80, "question_id": "000145__largest_in_class_1", "image_path": "images_annotated/000145_000145__largest_in_class_1.jpg", "question": "Where is the largest person in the scene?", "A": "817,744", "B": "784,518", "C": "954,668", "D": "810,744"} +{"index": 81, "question_id": "000150__largest_in_class_1", "image_path": "images_annotated/000150_000150__largest_in_class_1.jpg", "question": "Which car is the largest in the group?", "A": "382,719", "B": "396,715", "C": "415,720", "D": "357,726"} +{"index": 82, "question_id": "000150__relation_nearest_to_unique_5", "image_path": "images_annotated/000150_000150__relation_nearest_to_unique_5.jpg", "question": "Which person is closest to the road sign?", "A": "783,515", "B": "954,668", "C": "819,746", "D": "415,720"} +{"index": 83, "question_id": "000150__pair_size_4", "image_path": "images_annotated/000150_000150__pair_size_4.jpg", "question": "Which person is the smaller of the two?", "A": "783,515", "B": "823,746", "C": "954,668", "D": "415,720"} +{"index": 84, "question_id": "000155__smallest_in_class_1", "image_path": "images_annotated/000155_000155__smallest_in_class_1.jpg", "question": "Which car is the smallest in the image?", "A": "380,720", "B": "396,716", "C": "415,722", "D": "355,728"} +{"index": 85, "question_id": "000155__quadrant_hint_0", "image_path": "images_annotated/000155_000155__quadrant_hint_0.jpg", "question": "Point to the car on the far right side of the road.", "A": "415,722", "B": "396,716", "C": "954,669", "D": "380,720"} +{"index": 86, "question_id": "000155__unique_class_2", "image_path": "images_annotated/000155_000155__unique_class_2.jpg", "question": "Where is the road sign in the scene?", "A": "822,747", "B": "954,669", "C": "415,722", "D": "784,519"} +{"index": 87, "question_id": "000160__largest_in_class_1", "image_path": "images_annotated/000160_000160__largest_in_class_1.jpg", "question": "Which car is the largest in the group on the left side of the road?", "A": "332,724", "B": "381,720", "C": "395,716", "D": "352,728"} +{"index": 88, "question_id": "000160__rightmost_in_class_4", "image_path": "images_annotated/000160_000160__rightmost_in_class_4.jpg", "question": "Find the rightmost car in the image.", "A": "954,669", "B": "415,721", "C": "395,716", "D": "381,720"} +{"index": 89, "question_id": "000160__quadrant_hint_5", "image_path": "images_annotated/000160_000160__quadrant_hint_5.jpg", "question": "Which road sign is in the lower-right section of the image?", "A": "833,748", "B": "954,669", "C": "785,519", "D": "415,721"} +{"index": 90, "question_id": "000165__rightmost_in_class_0", "image_path": "images_annotated/000165_000165__rightmost_in_class_0.jpg", "question": "Point to the rightmost car in the scene.", "A": "414,723", "B": "395,717", "C": "380,722", "D": "954,669"} +{"index": 91, "question_id": "000165__unique_class_1", "image_path": "images_annotated/000165_000165__unique_class_1.jpg", "question": "Where is the person standing on the sidewalk?", "A": "954,669", "B": "786,519", "C": "414,723", "D": "842,750"} +{"index": 92, "question_id": "000170__largest_in_class_1", "image_path": "images_annotated/000170_000170__largest_in_class_1.jpg", "question": "Which car is the largest in the scene?", "A": "346,731", "B": "380,722", "C": "394,717", "D": "413,724"} +{"index": 93, "question_id": "000170__pair_size_5", "image_path": "images_annotated/000170_000170__pair_size_5.jpg", "question": "Which person is the larger of the two walking together?", "A": "955,669", "B": "843,752", "C": "788,518", "D": "413,724"} +{"index": 94, "question_id": "000170__quadrant_hint_4", "image_path": "images_annotated/000170_000170__quadrant_hint_4.jpg", "question": "Where is the road sign located in the lower right quadrant?", "A": "843,752", "B": "955,669", "C": "413,724", "D": "788,518"} +{"index": 95, "question_id": "000175__quadrant_hint_0", "image_path": "images_annotated/000175_000175__quadrant_hint_0.jpg", "question": "Point to the car in the lower right corner of the image.", "A": "414,728", "B": "394,720", "C": "955,671", "D": "379,726"} +{"index": 96, "question_id": "000175__largest_in_class_3", "image_path": "images_annotated/000175_000175__largest_in_class_3.jpg", "question": "Which car is the largest in the scene?", "A": "365,717", "B": "379,726", "C": "394,720", "D": "342,735"} +{"index": 97, "question_id": "000180__rightmost_in_class_0", "image_path": "images_annotated/000180_000180__rightmost_in_class_0.jpg", "question": "Find the rightmost car in the scene.", "A": "412,730", "B": "393,719", "C": "378,727", "D": "956,674"} +{"index": 98, "question_id": "000180__largest_in_class_2", "image_path": "images_annotated/000180_000180__largest_in_class_2.jpg", "question": "Which person is the largest in the image?", "A": "872,758", "B": "956,674", "C": "864,760", "D": "795,519"} +{"index": 99, "question_id": "000185__largest_in_class_5", "image_path": "images_annotated/000185_000185__largest_in_class_5.jpg", "question": "Point to the largest car on the road.", "A": "331,739", "B": "364,723", "C": "378,728", "D": "392,719"} +{"index": 100, "question_id": "000185__quadrant_hint_3", "image_path": "images_annotated/000185_000185__quadrant_hint_3.jpg", "question": "Which car is in the lower right corner of the image?", "A": "412,731", "B": "957,674", "C": "392,719", "D": "378,728"} +{"index": 101, "question_id": "000185__unique_class_1", "image_path": "images_annotated/000185_000185__unique_class_1.jpg", "question": "Point to the road sign on the pole near the people.", "A": "875,762", "B": "957,674", "C": "412,731", "D": "801,517"} +{"index": 102, "question_id": "000190__pair_size_0", "image_path": "images_annotated/000190_000190__pair_size_0.jpg", "question": "Point to the smaller person walking on the right side of the pair.", "A": "888,756", "B": "958,675", "C": "808,513", "D": "895,749"} +{"index": 103, "question_id": "000190__largest_in_class_3", "image_path": "images_annotated/000190_000190__largest_in_class_3.jpg", "question": "Point to the largest car in the left lane.", "A": "354,726", "B": "363,723", "C": "326,742", "D": "377,729"} +{"index": 104, "question_id": "000190__relation_nearest_to_unique_1", "image_path": "images_annotated/000190_000190__relation_nearest_to_unique_1.jpg", "question": "Where is the person standing closest to the white car?", "A": "888,756", "B": "895,749", "C": "958,675", "D": "808,513"} +{"index": 105, "question_id": "000195__relation_nearest_to_unique_10", "image_path": "images_annotated/000195_000195__relation_nearest_to_unique_10.jpg", "question": "Which car is closest to the person holding an umbrella?", "A": "906,998", "B": "410,731", "C": "959,674", "D": "392,719"} +{"index": 106, "question_id": "000195__pair_size_7", "image_path": "images_annotated/000195_000195__pair_size_7.jpg", "question": "Point to the smaller person standing on the right.", "A": "911,737", "B": "959,674", "C": "906,998", "D": "818,507"} +{"index": 107, "question_id": "000195__pair_size_11", "image_path": "images_annotated/000195_000195__pair_size_11.jpg", "question": "Point to the larger person standing on the left.", "A": "959,674", "B": "906,739", "C": "906,998", "D": "818,507"} +{"index": 108, "question_id": "000200__relation_nearest_to_unique_5", "image_path": "images_annotated/000200_000200__relation_nearest_to_unique_5.jpg", "question": "Which car is nearest to the person on the right?", "A": "899,999", "B": "409,733", "C": "392,720", "D": "958,675"} +{"index": 109, "question_id": "000200__bottommost_in_class_4", "image_path": "images_annotated/000200_000200__bottommost_in_class_4.jpg", "question": "Which person is at the bottom of the pair?", "A": "929,703", "B": "958,675", "C": "924,731", "D": "899,999"} +{"index": 110, "question_id": "000200__relation_nearest_to_unique_6", "image_path": "images_annotated/000200_000200__relation_nearest_to_unique_6.jpg", "question": "Which person is nearest to the car on the far right?", "A": "929,703", "B": "924,731", "C": "958,675", "D": "829,502"} +{"index": 111, "question_id": "000205__unique_class_0", "image_path": "images_annotated/000205_000205__unique_class_0.jpg", "question": "Point to the person holding an umbrella on the right.", "A": "842,494", "B": "893,999", "C": "947,684", "D": "408,735"} +{"index": 112, "question_id": "000205__quadrant_hint_1", "image_path": "images_annotated/000205_000205__quadrant_hint_1.jpg", "question": "Point to the road sign in the upper right section.", "A": "947,684", "B": "893,999", "C": "408,735", "D": "842,494"} +{"index": 113, "question_id": "000210__relation_nearest_to_unique_9", "image_path": "images_annotated/000210_000210__relation_nearest_to_unique_9.jpg", "question": "Find the white car that is nearest to the road sign.", "A": "407,736", "B": "390,721", "C": "888,999", "D": "372,731"} +{"index": 114, "question_id": "000210__quadrant_hint_4", "image_path": "images_annotated/000210_000210__quadrant_hint_4.jpg", "question": "Where is the road sign located in the upper right quadrant?", "A": "859,485", "B": "888,999", "C": "407,736", "D": "390,721"} +{"index": 115, "question_id": "000215__leftmost_in_class_4", "image_path": "images_annotated/000215_000215__leftmost_in_class_4.jpg", "question": "Which car is the leftmost one in the image?", "A": "17,705", "B": "265,761", "C": "330,731", "D": "352,727"} +{"index": 116, "question_id": "000215__pair_size_7", "image_path": "images_annotated/000215_000215__pair_size_7.jpg", "question": "Point to the larger of the two road signs.", "A": "567,659", "B": "880,474", "C": "885,999", "D": "434,719"} +{"index": 117, "question_id": "000215__largest_in_class_0", "image_path": "images_annotated/000215_000215__largest_in_class_0.jpg", "question": "Find the largest car in the image.", "A": "885,999", "B": "434,719", "C": "424,727", "D": "406,736"} +{"index": 118, "question_id": "000220__rightmost_in_class_8", "image_path": "images_annotated/000220_000220__rightmost_in_class_8.jpg", "question": "Point to the car that is farthest to the right.", "A": "435,717", "B": "424,726", "C": "882,999", "D": "405,735"} +{"index": 119, "question_id": "000220__leftmost_in_class_6", "image_path": "images_annotated/000220_000220__leftmost_in_class_6.jpg", "question": "Find the car that is farthest to the left in the image.", "A": "13,703", "B": "242,769", "C": "329,730", "D": "350,724"} +{"index": 120, "question_id": "000220__largest_in_class_3", "image_path": "images_annotated/000220_000220__largest_in_class_3.jpg", "question": "Point to the largest road sign in the scene.", "A": "903,442", "B": "570,657", "C": "882,999", "D": "905,457"} +{"index": 121, "question_id": "000225__rightmost_in_class_0", "image_path": "images_annotated/000225_000225__rightmost_in_class_0.jpg", "question": "Point to the car that is furthest to the right.", "A": "435,717", "B": "423,727", "C": "880,999", "D": "403,736"} +{"index": 122, "question_id": "000225__smallest_in_class_2", "image_path": "images_annotated/000225_000225__smallest_in_class_2.jpg", "question": "Which road sign is the smallest?", "A": "934,441", "B": "435,717", "C": "423,727", "D": "572,656"} +{"index": 123, "question_id": "000230__rightmost_in_class_1", "image_path": "images_annotated/000230_000230__rightmost_in_class_1.jpg", "question": "Tap the car that is positioned furthest to the right.", "A": "878,999", "B": "434,717", "C": "422,727", "D": "401,738"} +{"index": 124, "question_id": "000230__largest_in_class_0", "image_path": "images_annotated/000230_000230__largest_in_class_0.jpg", "question": "Find the largest road sign in the image.", "A": "574,655", "B": "878,999", "C": "968,420", "D": "434,717"} +{"index": 125, "question_id": "000235__rightmost_in_class_2", "image_path": "images_annotated/000235_000235__rightmost_in_class_2.jpg", "question": "Tap the car that is furthest to the right.", "A": "434,716", "B": "421,727", "C": "397,740", "D": "878,999"} +{"index": 126, "question_id": "000235__smallest_in_class_1", "image_path": "images_annotated/000235_000235__smallest_in_class_1.jpg", "question": "Find the smallest road sign in the image.", "A": "577,654", "B": "991,406", "C": "434,716", "D": "421,727"} +{"index": 127, "question_id": "000240__leftmost_in_class_5", "image_path": "images_annotated/000240_000240__leftmost_in_class_5.jpg", "question": "Point to the leftmost car in the image.", "A": "321,727", "B": "67,837", "C": "357,729", "D": "394,740"} +{"index": 128, "question_id": "000240__relation_right_of_unique_1", "image_path": "images_annotated/000240_000240__relation_right_of_unique_1.jpg", "question": "Point to the car on the far right of the image.", "A": "877,999", "B": "431,720", "C": "394,740", "D": "357,729"} +{"index": 129, "question_id": "000240__relation_nearest_to_unique_0", "image_path": "images_annotated/000240_000240__relation_nearest_to_unique_0.jpg", "question": "Which car is nearest to the white car on the right?", "A": "394,740", "B": "357,729", "C": "431,720", "D": "321,727"} +{"index": 130, "question_id": "000245__largest_in_class_4", "image_path": "images_annotated/000245_000245__largest_in_class_4.jpg", "question": "Point to the largest car in the image.", "A": "877,999", "B": "430,719", "C": "412,727", "D": "390,743"} +{"index": 131, "question_id": "000245__smallest_in_class_5", "image_path": "images_annotated/000245_000245__smallest_in_class_5.jpg", "question": "Find the smallest car in the line of traffic.", "A": "412,727", "B": "390,743", "C": "430,719", "D": "353,729"} +{"index": 132, "question_id": "000245__leftmost_in_class_0", "image_path": "images_annotated/000245_000245__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "353,729", "B": "319,726", "C": "390,743", "D": "412,727"} +{"index": 133, "question_id": "000250__largest_in_class_5", "image_path": "images_annotated/000250_000250__largest_in_class_5.jpg", "question": "Find the largest car in the image.", "A": "429,719", "B": "409,727", "C": "385,745", "D": "877,999"} +{"index": 134, "question_id": "000250__smallest_in_class_1", "image_path": "images_annotated/000250_000250__smallest_in_class_1.jpg", "question": "Find the smallest car in the image.", "A": "429,719", "B": "409,727", "C": "385,745", "D": "349,729"} +{"index": 135, "question_id": "000250__leftmost_in_class_4", "image_path": "images_annotated/000250_000250__leftmost_in_class_4.jpg", "question": "Where is the leftmost car in the line of traffic?", "A": "349,729", "B": "385,745", "C": "316,725", "D": "409,727"} +{"index": 136, "question_id": "000255__quadrant_hint_1", "image_path": "images_annotated/000255_000255__quadrant_hint_1.jpg", "question": "Find the car in the lower right corner of the image.", "A": "427,719", "B": "405,729", "C": "379,749", "D": "877,997"} +{"index": 137, "question_id": "000255__relation_nearest_to_unique_2", "image_path": "images_annotated/000255_000255__relation_nearest_to_unique_2.jpg", "question": "Which car is closest to the road sign?", "A": "405,729", "B": "379,749", "C": "427,719", "D": "343,730"} +{"index": 138, "question_id": "000255__unique_class_3", "image_path": "images_annotated/000255_000255__unique_class_3.jpg", "question": "Where is the road sign in the scene?", "A": "589,644", "B": "427,719", "C": "405,729", "D": "379,749"} +{"index": 139, "question_id": "000260__quadrant_hint_3", "image_path": "images_annotated/000260_000260__quadrant_hint_3.jpg", "question": "Which car is on the far right of the image?", "A": "430,712", "B": "425,719", "C": "407,730", "D": "878,998"} +{"index": 140, "question_id": "000260__relation_nearest_to_unique_1", "image_path": "images_annotated/000260_000260__relation_nearest_to_unique_1.jpg", "question": "Which car is nearest to the road sign?", "A": "430,712", "B": "425,719", "C": "407,730", "D": "370,755"} +{"index": 141, "question_id": "000260__unique_class_0", "image_path": "images_annotated/000260_000260__unique_class_0.jpg", "question": "Where is the person standing on the sidewalk?", "A": "198,719", "B": "306,727", "C": "335,730", "D": "370,755"} +{"index": 142, "question_id": "000265__relation_right_of_unique_2", "image_path": "images_annotated/000265_000265__relation_right_of_unique_2.jpg", "question": "Point to the white car on the right side of the road.", "A": "878,998", "B": "429,712", "C": "423,719", "D": "403,731"} +{"index": 143, "question_id": "000265__quadrant_hint_0", "image_path": "images_annotated/000265_000265__quadrant_hint_0.jpg", "question": "Where is the person standing on the left side of the road?", "A": "302,727", "B": "324,731", "C": "358,761", "D": "189,719"} +{"index": 144, "question_id": "000265__relation_nearest_to_unique_1", "image_path": "images_annotated/000265_000265__relation_nearest_to_unique_1.jpg", "question": "Which car is nearest to the person?", "A": "324,731", "B": "358,761", "C": "302,727", "D": "403,731"} +{"index": 145, "question_id": "000270__relation_right_of_unique_4", "image_path": "images_annotated/000270_000270__relation_right_of_unique_4.jpg", "question": "Which car is to the right of the white car?", "A": "428,712", "B": "421,719", "C": "397,733", "D": "879,998"} +{"index": 146, "question_id": "000270__leftmost_in_class_2", "image_path": "images_annotated/000270_000270__leftmost_in_class_2.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "345,770", "B": "297,726", "C": "397,733", "D": "421,719"} +{"index": 147, "question_id": "000270__unique_class_3", "image_path": "images_annotated/000270_000270__unique_class_3.jpg", "question": "Where is the person standing on the sidewalk?", "A": "297,726", "B": "345,770", "C": "397,733", "D": "177,719"} +{"index": 148, "question_id": "000275__leftmost_in_class_1", "image_path": "images_annotated/000275_000275__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "325,786", "B": "390,739", "C": "418,723", "D": "427,715"} +{"index": 149, "question_id": "000275__relation_nearest_to_unique_4", "image_path": "images_annotated/000275_000275__relation_nearest_to_unique_4.jpg", "question": "Find the car nearest to the road sign.", "A": "418,723", "B": "427,715", "C": "390,739", "D": "325,786"} +{"index": 150, "question_id": "000275__quadrant_hint_0", "image_path": "images_annotated/000275_000275__quadrant_hint_0.jpg", "question": "Where is the person located in the lower-left portion of the image?", "A": "165,720", "B": "325,786", "C": "390,739", "D": "418,723"} +{"index": 151, "question_id": "000280__largest_in_class_0", "image_path": "images_annotated/000280_000280__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "414,726", "B": "382,744", "C": "297,806", "D": "882,999"} +{"index": 152, "question_id": "000280__leftmost_in_class_2", "image_path": "images_annotated/000280_000280__leftmost_in_class_2.jpg", "question": "Find the leftmost car in the line of traffic.", "A": "382,744", "B": "297,806", "C": "414,726", "D": "882,999"} +{"index": 153, "question_id": "000280__quadrant_hint_1", "image_path": "images_annotated/000280_000280__quadrant_hint_1.jpg", "question": "Point to the road sign in the lower right section.", "A": "611,633", "B": "414,726", "C": "382,744", "D": "297,806"} +{"index": 154, "question_id": "000285__largest_in_class_4", "image_path": "images_annotated/000285_000285__largest_in_class_4.jpg", "question": "Which car is the largest in the scene?", "A": "422,719", "B": "410,731", "C": "883,999", "D": "369,752"} +{"index": 155, "question_id": "000285__leftmost_in_class_1", "image_path": "images_annotated/000285_000285__leftmost_in_class_1.jpg", "question": "Point to the black car on the left side of the road.", "A": "252,841", "B": "369,752", "C": "410,731", "D": "422,719"} +{"index": 156, "question_id": "000285__quadrant_hint_2", "image_path": "images_annotated/000285_000285__quadrant_hint_2.jpg", "question": "Where is the road sign in the lower right quadrant?", "A": "422,719", "B": "410,731", "C": "369,752", "D": "617,633"} +{"index": 157, "question_id": "000290__largest_in_class_0", "image_path": "images_annotated/000290_000290__largest_in_class_0.jpg", "question": "Find the largest car in the image.", "A": "420,725", "B": "405,737", "C": "356,763", "D": "885,999"} +{"index": 158, "question_id": "000290__leftmost_in_class_4", "image_path": "images_annotated/000290_000290__leftmost_in_class_4.jpg", "question": "Point to the leftmost car.", "A": "175,909", "B": "356,763", "C": "405,737", "D": "420,725"} +{"index": 159, "question_id": "000290__smallest_in_class_1", "image_path": "images_annotated/000290_000290__smallest_in_class_1.jpg", "question": "Find the smallest car.", "A": "405,737", "B": "420,725", "C": "356,763", "D": "175,909"} +{"index": 160, "question_id": "000295__rightmost_in_class_1", "image_path": "images_annotated/000295_000295__rightmost_in_class_1.jpg", "question": "Which car is the rightmost one in the scene?", "A": "417,725", "B": "401,740", "C": "343,771", "D": "888,999"} +{"index": 161, "question_id": "000295__pair_size_3", "image_path": "images_annotated/000295_000295__pair_size_3.jpg", "question": "Which road sign is larger than the other one?", "A": "631,629", "B": "269,757", "C": "170,532", "D": "343,771"} +{"index": 162, "question_id": "000295__pair_size_0", "image_path": "images_annotated/000295_000295__pair_size_0.jpg", "question": "Which road sign is smaller than the other one?", "A": "631,629", "B": "170,532", "C": "417,725", "D": "401,740"} +{"index": 163, "question_id": "000300__largest_in_class_2", "image_path": "images_annotated/000300_000300__largest_in_class_2.jpg", "question": "Point to the largest car in the scene.", "A": "417,724", "B": "891,999", "C": "393,741", "D": "322,779"} +{"index": 164, "question_id": "000300__smallest_in_class_0", "image_path": "images_annotated/000300_000300__smallest_in_class_0.jpg", "question": "Point to the smallest road sign in the scene.", "A": "641,620", "B": "156,521", "C": "891,999", "D": "706,595"} +{"index": 165, "question_id": "000300__leftmost_in_class_4", "image_path": "images_annotated/000300_000300__leftmost_in_class_4.jpg", "question": "Find the black car on the far left of the road.", "A": "236,760", "B": "322,779", "C": "393,741", "D": "84,937"} +{"index": 166, "question_id": "000305__leftmost_in_class_1", "image_path": "images_annotated/000305_000305__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "296,794", "B": "389,743", "C": "204,769", "D": "415,725"} +{"index": 167, "question_id": "000305__unique_class_3", "image_path": "images_annotated/000305_000305__unique_class_3.jpg", "question": "Point to the person group on the sidewalk.", "A": "55,702", "B": "140,514", "C": "204,769", "D": "296,794"} +{"index": 168, "question_id": "000305__relation_nearest_to_unique_2", "image_path": "images_annotated/000305_000305__relation_nearest_to_unique_2.jpg", "question": "Find the road sign nearest to the person group.", "A": "651,615", "B": "140,514", "C": "726,584", "D": "55,702"} +{"index": 169, "question_id": "000310__closest_to_center_3", "image_path": "images_annotated/000310_000310__closest_to_center_3.jpg", "question": "Where is the road sign closest to the center of the image?", "A": "663,608", "B": "749,571", "C": "122,504", "D": "435,705"} +{"index": 170, "question_id": "000310__rightmost_in_class_4", "image_path": "images_annotated/000310_000310__rightmost_in_class_4.jpg", "question": "Point to the road sign that is farthest to the right.", "A": "663,608", "B": "122,504", "C": "749,571", "D": "938,665"} +{"index": 171, "question_id": "000310__closest_to_center_2", "image_path": "images_annotated/000310_000310__closest_to_center_2.jpg", "question": "Point to the car closest to the center of the image.", "A": "412,727", "B": "435,705", "C": "380,750", "D": "353,726"} +{"index": 172, "question_id": "000315__leftmost_in_class_4", "image_path": "images_annotated/000315_000315__leftmost_in_class_4.jpg", "question": "Point to the leftmost car in the scene.", "A": "180,881", "B": "307,744", "C": "321,726", "D": "344,730"} +{"index": 173, "question_id": "000315__largest_in_class_8", "image_path": "images_annotated/000315_000315__largest_in_class_8.jpg", "question": "Tap the largest car in the image.", "A": "943,660", "B": "902,999", "C": "435,706", "D": "408,728"} +{"index": 174, "question_id": "000315__quadrant_hint_0", "image_path": "images_annotated/000315_000315__quadrant_hint_0.jpg", "question": "Point to the green street sign on the left.", "A": "676,600", "B": "102,494", "C": "777,557", "D": "180,881"} +{"index": 175, "question_id": "000320__largest_in_class_1", "image_path": "images_annotated/000320_000320__largest_in_class_1.jpg", "question": "Find the largest car on the left side of the road.", "A": "276,756", "B": "122,939", "C": "312,727", "D": "357,767"} +{"index": 176, "question_id": "000320__bottommost_in_class_0", "image_path": "images_annotated/000320_000320__bottommost_in_class_0.jpg", "question": "Point to the white car on the far right.", "A": "947,656", "B": "403,732", "C": "906,994", "D": "357,767"} +{"index": 177, "question_id": "000320__quadrant_hint_3", "image_path": "images_annotated/000320_000320__quadrant_hint_3.jpg", "question": "Where is the green street sign on the left side of the road?", "A": "691,592", "B": "810,538", "C": "276,756", "D": "79,481"} +{"index": 178, "question_id": "000325__largest_in_class_4", "image_path": "images_annotated/000325_000325__largest_in_class_4.jpg", "question": "Which car is the largest and on the far right?", "A": "952,652", "B": "432,704", "C": "910,991", "D": "423,711"} +{"index": 179, "question_id": "000325__bottommost_in_class_5", "image_path": "images_annotated/000325_000325__bottommost_in_class_5.jpg", "question": "Where is the road sign that is lowest in the frame?", "A": "852,513", "B": "709,580", "C": "53,465", "D": "952,652"} +{"index": 180, "question_id": "000325__leftmost_in_class_1", "image_path": "images_annotated/000325_000325__leftmost_in_class_1.jpg", "question": "Find the red car on the far left side of the road.", "A": "207,753", "B": "249,764", "C": "303,722", "D": "60,940"} +{"index": 181, "question_id": "000330__largest_in_class_3", "image_path": "images_annotated/000330_000330__largest_in_class_3.jpg", "question": "Which car is the largest in the image?", "A": "956,650", "B": "915,992", "C": "431,706", "D": "420,714"} +{"index": 182, "question_id": "000330__quadrant_hint_1", "image_path": "images_annotated/000330_000330__quadrant_hint_1.jpg", "question": "Point to the road sign on the left side of the street.", "A": "24,449", "B": "731,569", "C": "904,486", "D": "192,757"} +{"index": 183, "question_id": "000330__rightmost_in_class_2", "image_path": "images_annotated/000330_000330__rightmost_in_class_2.jpg", "question": "Find the rightmost road sign.", "A": "731,569", "B": "904,486", "C": "24,449", "D": "956,650"} +{"index": 184, "question_id": "000335__leftmost_in_class_1", "image_path": "images_annotated/000335_000335__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "179,788", "B": "273,841", "C": "383,750", "D": "417,720"} +{"index": 185, "question_id": "000335__bottommost_in_class_3", "image_path": "images_annotated/000335_000335__bottommost_in_class_3.jpg", "question": "Tap the car that is at the bottom of the image.", "A": "961,652", "B": "921,995", "C": "429,710", "D": "417,720"} +{"index": 186, "question_id": "000335__pair_size_2", "image_path": "images_annotated/000335_000335__pair_size_2.jpg", "question": "Find the larger of the two road signs.", "A": "8,431", "B": "961,652", "C": "756,560", "D": "921,995"} +{"index": 187, "question_id": "000340__bottommost_in_class_1", "image_path": "images_annotated/000340_000340__bottommost_in_class_1.jpg", "question": "Which car is at the bottom of the image?", "A": "202,906", "B": "115,796", "C": "321,740", "D": "374,758"} +{"index": 188, "question_id": "000340__leftmost_in_class_2", "image_path": "images_annotated/000340_000340__leftmost_in_class_2.jpg", "question": "Point to the leftmost car in the image.", "A": "202,906", "B": "321,740", "C": "374,758", "D": "115,796"} +{"index": 189, "question_id": "000340__relation_nearest_to_unique_5", "image_path": "images_annotated/000340_000340__relation_nearest_to_unique_5.jpg", "question": "Find the car nearest to the road sign.", "A": "429,708", "B": "966,646", "C": "414,719", "D": "374,758"} +{"index": 190, "question_id": "000345__largest_in_class_0", "image_path": "images_annotated/000345_000345__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "296,748", "B": "139,944", "C": "363,766", "D": "410,720"} +{"index": 191, "question_id": "000345__rightmost_in_class_4", "image_path": "images_annotated/000345_000345__rightmost_in_class_4.jpg", "question": "Which car is the rightmost in the scene?", "A": "427,706", "B": "972,643", "C": "410,720", "D": "363,766"} +{"index": 192, "question_id": "000345__unique_class_5", "image_path": "images_annotated/000345_000345__unique_class_5.jpg", "question": "Point to the road sign.", "A": "972,643", "B": "427,706", "C": "828,519", "D": "410,720"} +{"index": 193, "question_id": "000350__largest_in_class_6", "image_path": "images_annotated/000350_000350__largest_in_class_6.jpg", "question": "Find the largest car in the image.", "A": "84,939", "B": "145,763", "C": "213,756", "D": "278,755"} +{"index": 194, "question_id": "000350__smallest_in_class_1", "image_path": "images_annotated/000350_000350__smallest_in_class_1.jpg", "question": "Which car is the smallest in the scene?", "A": "406,721", "B": "427,707", "C": "348,775", "D": "278,755"} +{"index": 195, "question_id": "000350__relation_nearest_to_unique_7", "image_path": "images_annotated/000350_000350__relation_nearest_to_unique_7.jpg", "question": "Which car is nearest to the road sign?", "A": "427,707", "B": "406,721", "C": "978,642", "D": "348,775"} +{"index": 196, "question_id": "000355__smallest_in_class_2", "image_path": "images_annotated/000355_000355__smallest_in_class_2.jpg", "question": "Which car is the smallest one in the image?", "A": "403,722", "B": "426,707", "C": "328,792", "D": "255,765"} +{"index": 197, "question_id": "000355__quadrant_hint_6", "image_path": "images_annotated/000355_000355__quadrant_hint_6.jpg", "question": "Point to the car in the lower right corner.", "A": "984,638", "B": "426,707", "C": "403,722", "D": "328,792"} +{"index": 198, "question_id": "000355__quadrant_hint_1", "image_path": "images_annotated/000355_000355__quadrant_hint_1.jpg", "question": "Find the sign in the upper right corner of the image.", "A": "984,638", "B": "426,707", "C": "403,722", "D": "941,455"} +{"index": 199, "question_id": "000360__largest_in_class_6", "image_path": "images_annotated/000360_000360__largest_in_class_6.jpg", "question": "Where is the largest car in the image?", "A": "221,769", "B": "298,816", "C": "379,715", "D": "401,723"} +{"index": 200, "question_id": "000360__rightmost_in_class_1", "image_path": "images_annotated/000360_000360__rightmost_in_class_1.jpg", "question": "Which car is the rightmost one in the scene?", "A": "426,706", "B": "419,711", "C": "990,634", "D": "401,723"} +{"index": 201, "question_id": "000360__leftmost_in_class_0", "image_path": "images_annotated/000360_000360__leftmost_in_class_0.jpg", "question": "Point to the black truck parked on the far left.", "A": "176,764", "B": "74,787", "C": "221,769", "D": "298,816"} +{"index": 202, "question_id": "000365__bottommost_in_class_2", "image_path": "images_annotated/000365_000365__bottommost_in_class_2.jpg", "question": "Where is the car that is lowest in the frame?", "A": "151,754", "B": "247,858", "C": "359,721", "D": "377,713"} +{"index": 203, "question_id": "000365__quadrant_hint_8", "image_path": "images_annotated/000365_000365__quadrant_hint_8.jpg", "question": "Point to the car on the far right edge of the image.", "A": "425,705", "B": "418,709", "C": "993,630", "D": "397,722"} +{"index": 204, "question_id": "000365__leftmost_in_class_0", "image_path": "images_annotated/000365_000365__leftmost_in_class_0.jpg", "question": "Point to the black pickup truck parked on the left.", "A": "151,754", "B": "247,858", "C": "62,791", "D": "359,721"} +{"index": 205, "question_id": "000370__largest_in_class_4", "image_path": "images_annotated/000370_000370__largest_in_class_4.jpg", "question": "Point to the largest car on the road.", "A": "158,944", "B": "27,703", "C": "320,734", "D": "353,721"} +{"index": 206, "question_id": "000370__leftmost_in_class_5", "image_path": "images_annotated/000370_000370__leftmost_in_class_5.jpg", "question": "Which car is positioned furthest to the left?", "A": "158,944", "B": "320,734", "C": "27,703", "D": "353,721"} +{"index": 207, "question_id": "000370__smallest_in_class_3", "image_path": "images_annotated/000370_000370__smallest_in_class_3.jpg", "question": "Find the smallest car in the image.", "A": "373,712", "B": "353,721", "C": "394,722", "D": "416,708"} +{"index": 208, "question_id": "000375__largest_in_class_3", "image_path": "images_annotated/000375_000375__largest_in_class_3.jpg", "question": "Point to the largest car on the left side of the road.", "A": "123,940", "B": "297,744", "C": "348,724", "D": "389,727"} +{"index": 209, "question_id": "000380__leftmost_in_class_4", "image_path": "images_annotated/000380_000380__leftmost_in_class_4.jpg", "question": "Point to the leftmost car in the scene.", "A": "78,819", "B": "204,756", "C": "282,750", "D": "321,722"} +{"index": 210, "question_id": "000385__largest_in_class_0", "image_path": "images_annotated/000385_000385__largest_in_class_0.jpg", "question": "Which car on the left is the largest?", "A": "188,762", "B": "55,783", "C": "265,757", "D": "301,727"} +{"index": 211, "question_id": "000385__smallest_in_class_5", "image_path": "images_annotated/000385_000385__smallest_in_class_5.jpg", "question": "Find the smallest car among the group on the right.", "A": "301,727", "B": "315,723", "C": "336,731", "D": "265,757"} +{"index": 212, "question_id": "000390__largest_in_class_0", "image_path": "images_annotated/000390_000390__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "243,765", "B": "169,767", "C": "291,731", "D": "33,791"} +{"index": 213, "question_id": "000390__leftmost_in_class_1", "image_path": "images_annotated/000390_000390__leftmost_in_class_1.jpg", "question": "Point to the leftmost car on the road.", "A": "169,767", "B": "243,765", "C": "291,731", "D": "33,791"} +{"index": 214, "question_id": "000390__smallest_in_class_2", "image_path": "images_annotated/000390_000390__smallest_in_class_2.jpg", "question": "Find the smallest car in the image.", "A": "406,716", "B": "370,741", "C": "419,707", "D": "329,733"} +{"index": 215, "question_id": "000395__largest_in_class_3", "image_path": "images_annotated/000395_000395__largest_in_class_3.jpg", "question": "Find the largest car in the line of traffic.", "A": "280,738", "B": "145,773", "C": "321,738", "D": "216,776"} +{"index": 216, "question_id": "000395__leftmost_in_class_4", "image_path": "images_annotated/000395_000395__leftmost_in_class_4.jpg", "question": "Where is the leftmost car in the traffic line?", "A": "216,776", "B": "280,738", "C": "321,738", "D": "145,773"} +{"index": 217, "question_id": "000395__smallest_in_class_0", "image_path": "images_annotated/000395_000395__smallest_in_class_0.jpg", "question": "Point to the smallest car on the road.", "A": "403,719", "B": "360,750", "C": "418,710", "D": "321,738"} +{"index": 218, "question_id": "000400__leftmost_in_class_7", "image_path": "images_annotated/000400_000400__leftmost_in_class_7.jpg", "question": "Tap the leftmost car in the image.", "A": "179,793", "B": "249,719", "C": "268,742", "D": "119,783"} +{"index": 219, "question_id": "000400__closest_to_center_1", "image_path": "images_annotated/000400_000400__closest_to_center_1.jpg", "question": "Point to the car closest to the center of the image.", "A": "398,725", "B": "418,712", "C": "348,760", "D": "311,743"} +{"index": 220, "question_id": "000400__smallest_in_class_5", "image_path": "images_annotated/000400_000400__smallest_in_class_5.jpg", "question": "Find the smallest car in the image.", "A": "268,742", "B": "311,743", "C": "249,719", "D": "179,793"} +{"index": 221, "question_id": "000405__smallest_in_class_6", "image_path": "images_annotated/000405_000405__smallest_in_class_6.jpg", "question": "Find the smallest car on the road.", "A": "394,730", "B": "416,713", "C": "330,773", "D": "296,748"} +{"index": 222, "question_id": "000405__largest_in_class_1", "image_path": "images_annotated/000405_000405__largest_in_class_1.jpg", "question": "Which car is the largest in the scene?", "A": "85,794", "B": "232,720", "C": "258,746", "D": "130,809"} +{"index": 223, "question_id": "000405__leftmost_in_class_3", "image_path": "images_annotated/000405_000405__leftmost_in_class_3.jpg", "question": "Point to the leftmost car in the image.", "A": "130,809", "B": "232,720", "C": "85,794", "D": "258,746"} +{"index": 224, "question_id": "000410__leftmost_in_class_6", "image_path": "images_annotated/000410_000410__leftmost_in_class_6.jpg", "question": "Where is the leftmost car in the image?", "A": "223,716", "B": "81,839", "C": "247,751", "D": "306,794"} +{"index": 225, "question_id": "000410__closest_to_center_2", "image_path": "images_annotated/000410_000410__closest_to_center_2.jpg", "question": "Find the car closest to the center of the image.", "A": "391,734", "B": "369,720", "C": "415,716", "D": "306,794"} +{"index": 226, "question_id": "000410__smallest_in_class_1", "image_path": "images_annotated/000410_000410__smallest_in_class_1.jpg", "question": "Point to the smallest car in the scene.", "A": "369,720", "B": "391,734", "C": "415,716", "D": "306,794"} +{"index": 227, "question_id": "000415__closest_bottom_edge_4", "image_path": "images_annotated/000415_000415__closest_bottom_edge_4.jpg", "question": "Which car is closest to the bottom edge of the frame?", "A": "61,789", "B": "215,719", "C": "46,840", "D": "268,819"} +{"index": 228, "question_id": "000415__closest_to_center_0", "image_path": "images_annotated/000415_000415__closest_to_center_0.jpg", "question": "Find the car closest to the center of the image.", "A": "384,739", "B": "355,720", "C": "414,719", "D": "340,735"} +{"index": 229, "question_id": "000415__largest_in_class_3", "image_path": "images_annotated/000415_000415__largest_in_class_3.jpg", "question": "Where is the largest car in the image?", "A": "215,719", "B": "268,819", "C": "340,735", "D": "355,720"} +{"index": 230, "question_id": "000420__largest_in_class_3", "image_path": "images_annotated/000420_000420__largest_in_class_3.jpg", "question": "Point to the largest car in the scene.", "A": "326,738", "B": "204,869", "C": "352,721", "D": "31,807"} +{"index": 231, "question_id": "000420__closest_to_center_2", "image_path": "images_annotated/000420_000420__closest_to_center_2.jpg", "question": "Which car is closest to the center of the image?", "A": "378,746", "B": "352,721", "C": "326,738", "D": "414,721"} +{"index": 232, "question_id": "000420__leftmost_in_class_5", "image_path": "images_annotated/000420_000420__leftmost_in_class_5.jpg", "question": "Which car is the leftmost one in the image?", "A": "204,869", "B": "326,738", "C": "31,807", "D": "352,721"} +{"index": 233, "question_id": "000425__smallest_in_class_0", "image_path": "images_annotated/000425_000425__smallest_in_class_0.jpg", "question": "Point to the smallest car in the scene.", "A": "410,722", "B": "370,753", "C": "316,745", "D": "261,770"} +{"index": 234, "question_id": "000425__largest_in_class_4", "image_path": "images_annotated/000425_000425__largest_in_class_4.jpg", "question": "Tap the largest car on the road.", "A": "261,770", "B": "316,745", "C": "370,753", "D": "130,944"} +{"index": 235, "question_id": "000430__smallest_in_class_4", "image_path": "images_annotated/000430_000430__smallest_in_class_4.jpg", "question": "Where is the smallest car on the road?", "A": "358,761", "B": "306,751", "C": "407,730", "D": "227,782"} +{"index": 236, "question_id": "000430__leftmost_in_class_1", "image_path": "images_annotated/000430_000430__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the image.", "A": "227,782", "B": "78,944", "C": "306,751", "D": "358,761"} +{"index": 237, "question_id": "000435__rightmost_in_class_2", "image_path": "images_annotated/000435_000435__rightmost_in_class_2.jpg", "question": "Point to the car that is farthest to the right.", "A": "404,733", "B": "344,774", "C": "292,758", "D": "197,799"} +{"index": 238, "question_id": "000435__largest_in_class_3", "image_path": "images_annotated/000435_000435__largest_in_class_3.jpg", "question": "Where is the largest car in the image?", "A": "197,799", "B": "292,758", "C": "344,774", "D": "404,733"} +{"index": 239, "question_id": "000440__closest_right_edge_4", "image_path": "images_annotated/000440_000440__closest_right_edge_4.jpg", "question": "Find the car closest to the right edge of the image.", "A": "401,737", "B": "377,721", "C": "323,794", "D": "272,765"} +{"index": 240, "question_id": "000440__leftmost_in_class_0", "image_path": "images_annotated/000440_000440__leftmost_in_class_0.jpg", "question": "Point to the leftmost car on the road.", "A": "247,759", "B": "160,817", "C": "272,765", "D": "323,794"} +{"index": 241, "question_id": "000440__smallest_in_class_5", "image_path": "images_annotated/000440_000440__smallest_in_class_5.jpg", "question": "Where is the smallest car in the image?", "A": "401,737", "B": "323,794", "C": "377,721", "D": "272,765"} +{"index": 242, "question_id": "000445__largest_in_class_1", "image_path": "images_annotated/000445_000445__largest_in_class_1.jpg", "question": "Find the largest car in the scene.", "A": "228,765", "B": "108,837", "C": "293,817", "D": "358,737"} +{"index": 243, "question_id": "000445__closest_right_edge_0", "image_path": "images_annotated/000445_000445__closest_right_edge_0.jpg", "question": "Point to the car closest to the right edge of the road.", "A": "374,725", "B": "358,737", "C": "397,741", "D": "293,817"} +{"index": 244, "question_id": "000445__smallest_in_class_3", "image_path": "images_annotated/000445_000445__smallest_in_class_3.jpg", "question": "Tap the smallest car in the image.", "A": "358,737", "B": "374,725", "C": "397,741", "D": "293,817"} +{"index": 245, "question_id": "000450__leftmost_in_class_2", "image_path": "images_annotated/000450_000450__leftmost_in_class_2.jpg", "question": "Which car is on the far left of the scene?", "A": "242,850", "B": "77,863", "C": "347,740", "D": "394,744"} +{"index": 246, "question_id": "000450__closest_to_center_1", "image_path": "images_annotated/000450_000450__closest_to_center_1.jpg", "question": "Where is the car closest to the center of the road?", "A": "347,740", "B": "242,850", "C": "77,863", "D": "394,744"} +{"index": 247, "question_id": "000450__smallest_in_class_0", "image_path": "images_annotated/000450_000450__smallest_in_class_0.jpg", "question": "Point to the smallest car on the road.", "A": "394,744", "B": "242,850", "C": "347,740", "D": "77,863"} +{"index": 248, "question_id": "000455__rightmost_in_class_2", "image_path": "images_annotated/000455_000455__rightmost_in_class_2.jpg", "question": "Where is the rightmost car on the road?", "A": "339,744", "B": "389,748", "C": "296,742", "D": "150,920"} +{"index": 249, "question_id": "000455__leftmost_in_class_0", "image_path": "images_annotated/000455_000455__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the image.", "A": "296,742", "B": "339,744", "C": "389,748", "D": "150,920"} +{"index": 250, "question_id": "000455__smallest_in_class_1", "image_path": "images_annotated/000455_000455__smallest_in_class_1.jpg", "question": "Find the smallest car on the road.", "A": "296,742", "B": "339,744", "C": "389,748", "D": "150,920"} +{"index": 251, "question_id": "000460__closest_to_center_5", "image_path": "images_annotated/000460_000460__closest_to_center_5.jpg", "question": "Tap the car closest to the center of the image.", "A": "331,746", "B": "285,744", "C": "382,753", "D": "245,752"} +{"index": 252, "question_id": "000460__largest_in_class_0", "image_path": "images_annotated/000460_000460__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "216,781", "B": "245,752", "C": "110,951", "D": "285,744"} +{"index": 253, "question_id": "000460__smallest_in_class_2", "image_path": "images_annotated/000460_000460__smallest_in_class_2.jpg", "question": "Find the smallest car on the road.", "A": "245,752", "B": "331,746", "C": "216,781", "D": "285,744"} +{"index": 254, "question_id": "000465__largest_in_class_3", "image_path": "images_annotated/000465_000465__largest_in_class_3.jpg", "question": "Find the largest car in the line of traffic.", "A": "153,812", "B": "103,727", "C": "229,758", "D": "35,804"} +{"index": 255, "question_id": "000465__rightmost_in_class_6", "image_path": "images_annotated/000465_000465__rightmost_in_class_6.jpg", "question": "Tap the car that is farthest to the right on the road.", "A": "320,749", "B": "275,744", "C": "374,758", "D": "229,758"} +{"index": 256, "question_id": "000465__smallest_in_class_4", "image_path": "images_annotated/000465_000465__smallest_in_class_4.jpg", "question": "Where is the smallest car on the road?", "A": "320,749", "B": "275,744", "C": "229,758", "D": "374,758"} +{"index": 257, "question_id": "000470__closest_to_center_1", "image_path": "images_annotated/000470_000470__closest_to_center_1.jpg", "question": "Find the car closest to the center of the image.", "A": "364,765", "B": "307,752", "C": "404,732", "D": "265,749"} +{"index": 258, "question_id": "000470__largest_in_class_5", "image_path": "images_annotated/000470_000470__largest_in_class_5.jpg", "question": "Where is the largest car in the image?", "A": "182,770", "B": "103,828", "C": "213,763", "D": "265,749"} +{"index": 259, "question_id": "000475__smallest_in_class_2", "image_path": "images_annotated/000475_000475__smallest_in_class_2.jpg", "question": "Point to the smallest car in the scene.", "A": "399,734", "B": "351,773", "C": "292,755", "D": "251,750"} +{"index": 260, "question_id": "000475__leftmost_in_class_4", "image_path": "images_annotated/000475_000475__leftmost_in_class_4.jpg", "question": "Where is the leftmost car in the image?", "A": "146,772", "B": "71,850", "C": "195,767", "D": "251,750"} +{"index": 261, "question_id": "000480__bottommost_in_class_6", "image_path": "images_annotated/000480_000480__bottommost_in_class_6.jpg", "question": "Where is the bottommost car in the scene?", "A": "53,717", "B": "40,839", "C": "107,790", "D": "174,769"} +{"index": 262, "question_id": "000480__largest_in_class_0", "image_path": "images_annotated/000480_000480__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "334,783", "B": "392,737", "C": "270,758", "D": "237,752"} +{"index": 263, "question_id": "000480__smallest_in_class_7", "image_path": "images_annotated/000480_000480__smallest_in_class_7.jpg", "question": "Tap the smallest car in the image.", "A": "107,790", "B": "40,839", "C": "174,769", "D": "53,717"} +{"index": 264, "question_id": "000485__topmost_in_class_3", "image_path": "images_annotated/000485_000485__topmost_in_class_3.jpg", "question": "Where is the highest car in the frame?", "A": "384,742", "B": "221,756", "C": "310,803", "D": "149,774"} +{"index": 265, "question_id": "000485__closest_to_center_5", "image_path": "images_annotated/000485_000485__closest_to_center_5.jpg", "question": "Find the car closest to the center of the image.", "A": "310,803", "B": "221,756", "C": "149,774", "D": "384,742"} +{"index": 266, "question_id": "000485__leftmost_in_class_0", "image_path": "images_annotated/000485_000485__leftmost_in_class_0.jpg", "question": "Point to the leftmost car parked on the street.", "A": "28,733", "B": "61,796", "C": "149,774", "D": "221,756"} +{"index": 267, "question_id": "000490__bottommost_in_class_0", "image_path": "images_annotated/000490_000490__bottommost_in_class_0.jpg", "question": "Point to the car that is lowest in the frame.", "A": "373,749", "B": "407,706", "C": "121,783", "D": "275,832"} +{"index": 268, "question_id": "000490__rightmost_in_class_3", "image_path": "images_annotated/000490_000490__rightmost_in_class_3.jpg", "question": "Which car is positioned at the far right of the image?", "A": "407,706", "B": "373,749", "C": "977,630", "D": "275,832"} +{"index": 269, "question_id": "000490__leftmost_in_class_2", "image_path": "images_annotated/000490_000490__leftmost_in_class_2.jpg", "question": "Find the car that is farthest to the left.", "A": "121,783", "B": "44,807", "C": "275,832", "D": "373,749"} +{"index": 270, "question_id": "000495__relation_right_of_unique_3", "image_path": "images_annotated/000495_000495__relation_right_of_unique_3.jpg", "question": "Find the car to the right of the rider.", "A": "404,706", "B": "985,629", "C": "360,759", "D": "217,879"} +{"index": 271, "question_id": "000495__relation_nearest_to_unique_0", "image_path": "images_annotated/000495_000495__relation_nearest_to_unique_0.jpg", "question": "Point to the car closest to the rider.", "A": "360,759", "B": "217,879", "C": "404,706", "D": "83,791"} +{"index": 272, "question_id": "000495__quadrant_hint_1", "image_path": "images_annotated/000495_000495__quadrant_hint_1.jpg", "question": "Point to the rider on the right side of the road.", "A": "404,706", "B": "601,681", "C": "360,759", "D": "985,629"} +{"index": 273, "question_id": "000500__largest_in_class_0", "image_path": "images_annotated/000500_000500__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "342,775", "B": "152,942", "C": "385,717", "D": "402,708"} +{"index": 274, "question_id": "000500__relation_nearest_to_unique_3", "image_path": "images_annotated/000500_000500__relation_nearest_to_unique_3.jpg", "question": "Which car is nearest to the rider?", "A": "385,717", "B": "342,775", "C": "152,942", "D": "402,708"} +{"index": 275, "question_id": "000500__quadrant_hint_2", "image_path": "images_annotated/000500_000500__quadrant_hint_2.jpg", "question": "Where is the person on the bike located in the lower right?", "A": "611,684", "B": "402,708", "C": "385,717", "D": "342,775"} +{"index": 276, "question_id": "000505__largest_in_class_9", "image_path": "images_annotated/000505_000505__largest_in_class_9.jpg", "question": "Tap the largest car in the image.", "A": "259,762", "B": "121,949", "C": "318,788", "D": "379,719"} +{"index": 277, "question_id": "000505__rightmost_in_class_1", "image_path": "images_annotated/000505_000505__rightmost_in_class_1.jpg", "question": "Which car is the rightmost one in the scene?", "A": "399,709", "B": "379,719", "C": "965,632", "D": "318,788"} +{"index": 278, "question_id": "000505__closest_left_edge_3", "image_path": "images_annotated/000505_000505__closest_left_edge_3.jpg", "question": "Where is the rider closest to the left edge of the road?", "A": "603,688", "B": "623,685", "C": "604,715", "D": "623,713"} +{"index": 279, "question_id": "000510__leftmost_in_class_2", "image_path": "images_annotated/000510_000510__leftmost_in_class_2.jpg", "question": "Point to the leftmost car in the image.", "A": "120,814", "B": "51,915", "C": "155,770", "D": "219,779"} +{"index": 280, "question_id": "000510__quadrant_hint_6", "image_path": "images_annotated/000510_000510__quadrant_hint_6.jpg", "question": "Where is the car in the lower right corner?", "A": "972,631", "B": "397,711", "C": "375,720", "D": "360,730"} +{"index": 281, "question_id": "000510__closest_right_edge_5", "image_path": "images_annotated/000510_000510__closest_right_edge_5.jpg", "question": "Find the cyclist closest to the right edge of the road.", "A": "617,718", "B": "638,684", "C": "616,688", "D": "638,715"} +{"index": 282, "question_id": "000515__largest_in_class_5", "image_path": "images_annotated/000515_000515__largest_in_class_5.jpg", "question": "Where is the largest car in the line of traffic?", "A": "351,731", "B": "255,835", "C": "371,722", "D": "119,787"} +{"index": 283, "question_id": "000515__leftmost_in_class_0", "image_path": "images_annotated/000515_000515__leftmost_in_class_0.jpg", "question": "Point to the black car on the far left.", "A": "46,843", "B": "119,787", "C": "255,835", "D": "351,731"} +{"index": 284, "question_id": "000515__rightmost_in_class_2", "image_path": "images_annotated/000515_000515__rightmost_in_class_2.jpg", "question": "Where is the white car on the far right edge of the image?", "A": "979,631", "B": "395,712", "C": "371,722", "D": "351,731"} +{"index": 285, "question_id": "000520__quadrant_hint_1", "image_path": "images_annotated/000520_000520__quadrant_hint_1.jpg", "question": "Where is the car on the far right edge of the image?", "A": "987,628", "B": "393,712", "C": "367,723", "D": "339,734"} +{"index": 286, "question_id": "000520__pair_left_right_0", "image_path": "images_annotated/000520_000520__pair_left_right_0.jpg", "question": "Point to the rider on the right.", "A": "646,684", "B": "673,718", "C": "672,681", "D": "647,721"} +{"index": 287, "question_id": "000520__largest_in_class_2", "image_path": "images_annotated/000520_000520__largest_in_class_2.jpg", "question": "Point to the largest cyclist in the scene.", "A": "647,721", "B": "672,681", "C": "646,684", "D": "673,718"} +{"index": 288, "question_id": "000525__quadrant_hint_1", "image_path": "images_annotated/000525_000525__quadrant_hint_1.jpg", "question": "Tap the car in the lower right corner of the image.", "A": "388,714", "B": "992,626", "C": "363,726", "D": "332,740"} +{"index": 289, "question_id": "000525__pair_left_right_0", "image_path": "images_annotated/000525_000525__pair_left_right_0.jpg", "question": "Point to the rider on the left side of the pair.", "A": "696,681", "B": "668,724", "C": "667,685", "D": "697,720"} +{"index": 290, "question_id": "000530__smallest_in_class_0", "image_path": "images_annotated/000530_000530__smallest_in_class_0.jpg", "question": "Find the cyclist who is the smallest in the group.", "A": "727,723", "B": "694,728", "C": "692,685", "D": "725,677"} +{"index": 291, "question_id": "000530__rightmost_in_class_1", "image_path": "images_annotated/000530_000530__rightmost_in_class_1.jpg", "question": "Where is the rightmost cyclist on the road?", "A": "694,728", "B": "725,677", "C": "727,723", "D": "692,685"} +{"index": 292, "question_id": "000535__leftmost_in_class_0", "image_path": "images_annotated/000535_000535__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the traffic.", "A": "235,774", "B": "314,746", "C": "352,731", "D": "154,774"} +{"index": 293, "question_id": "000535__rightmost_in_class_1", "image_path": "images_annotated/000535_000535__rightmost_in_class_1.jpg", "question": "Where is the rightmost cyclist on the road?", "A": "727,732", "B": "764,669", "C": "765,725", "D": "723,677"} +{"index": 294, "question_id": "000535__pair_size_2", "image_path": "images_annotated/000535_000535__pair_size_2.jpg", "question": "Tap the smaller cyclist on the left side of the pair.", "A": "727,732", "B": "765,725", "C": "723,677", "D": "764,669"} +{"index": 295, "question_id": "000540__smallest_in_class_3", "image_path": "images_annotated/000540_000540__smallest_in_class_3.jpg", "question": "Where is the smallest car in the line?", "A": "345,732", "B": "302,752", "C": "378,719", "D": "204,786"} +{"index": 296, "question_id": "000540__leftmost_in_class_0", "image_path": "images_annotated/000540_000540__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "204,786", "B": "302,752", "C": "345,732", "D": "124,781"} +{"index": 297, "question_id": "000540__largest_in_class_2", "image_path": "images_annotated/000540_000540__largest_in_class_2.jpg", "question": "Find the largest car in the traffic line.", "A": "204,786", "B": "124,781", "C": "302,752", "D": "345,732"} +{"index": 298, "question_id": "000545__largest_in_class_0", "image_path": "images_annotated/000545_000545__largest_in_class_0.jpg", "question": "Which car on the left is the largest?", "A": "84,791", "B": "290,756", "C": "338,737", "D": "161,803"} +{"index": 299, "question_id": "000545__leftmost_in_class_1", "image_path": "images_annotated/000545_000545__leftmost_in_class_1.jpg", "question": "Point to the leftmost car on the road.", "A": "84,791", "B": "161,803", "C": "290,756", "D": "338,737"} +{"index": 300, "question_id": "000545__pair_size_2", "image_path": "images_annotated/000545_000545__pair_size_2.jpg", "question": "Find the smaller of the two riders on the right.", "A": "828,673", "B": "874,665", "C": "879,729", "D": "830,743"} +{"index": 301, "question_id": "000550__rightmost_in_class_1", "image_path": "images_annotated/000550_000550__rightmost_in_class_1.jpg", "question": "Which rider is on the far right?", "A": "911,665", "B": "966,730", "C": "915,747", "D": "958,649"} +{"index": 302, "question_id": "000550__smallest_in_class_0", "image_path": "images_annotated/000550_000550__smallest_in_class_0.jpg", "question": "Which cyclist is the smallest in the group?", "A": "915,747", "B": "966,730", "C": "911,665", "D": "958,649"} +{"index": 303, "question_id": "000555__leftmost_in_class_2", "image_path": "images_annotated/000555_000555__leftmost_in_class_2.jpg", "question": "Which car is the leftmost?", "A": "72,844", "B": "255,769", "C": "320,745", "D": "347,720"} +{"index": 304, "question_id": "000555__largest_in_class_1", "image_path": "images_annotated/000555_000555__largest_in_class_1.jpg", "question": "Which person is the largest?", "A": "174,726", "B": "164,735", "C": "255,769", "D": "72,844"} +{"index": 305, "question_id": "000555__smallest_in_class_4", "image_path": "images_annotated/000555_000555__smallest_in_class_4.jpg", "question": "Which person is the smallest?", "A": "164,735", "B": "255,769", "C": "174,726", "D": "72,844"} +{"index": 306, "question_id": "000560__largest_in_class_5", "image_path": "images_annotated/000560_000560__largest_in_class_5.jpg", "question": "Where is the largest car on the left side of the road?", "A": "35,840", "B": "231,777", "C": "309,747", "D": "341,720"} +{"index": 307, "question_id": "000560__closest_to_center_0", "image_path": "images_annotated/000560_000560__closest_to_center_0.jpg", "question": "Point to the person standing closest to the center of the image.", "A": "147,743", "B": "159,727", "C": "118,725", "D": "231,777"} +{"index": 308, "question_id": "000560__leftmost_in_class_6", "image_path": "images_annotated/000560_000560__leftmost_in_class_6.jpg", "question": "Where is the person standing closest to the left edge of the image?", "A": "118,725", "B": "147,743", "C": "159,727", "D": "35,840"} +{"index": 309, "question_id": "000565__largest_in_class_1", "image_path": "images_annotated/000565_000565__largest_in_class_1.jpg", "question": "Find the largest car on the road.", "A": "265,742", "B": "335,720", "C": "202,786", "D": "353,727"} +{"index": 310, "question_id": "000565__leftmost_in_class_0", "image_path": "images_annotated/000565_000565__leftmost_in_class_0.jpg", "question": "Point to the person on the far left of the group.", "A": "128,732", "B": "140,726", "C": "202,786", "D": "95,736"} +{"index": 311, "question_id": "000565__smallest_in_class_5", "image_path": "images_annotated/000565_000565__smallest_in_class_5.jpg", "question": "Where is the smallest car on the road?", "A": "335,720", "B": "353,727", "C": "265,742", "D": "202,786"} +{"index": 312, "question_id": "000570__leftmost_in_class_1", "image_path": "images_annotated/000570_000570__leftmost_in_class_1.jpg", "question": "Which car is the leftmost?", "A": "246,748", "B": "283,758", "C": "161,802", "D": "346,731"} +{"index": 313, "question_id": "000570__pair_size_0", "image_path": "images_annotated/000570_000570__pair_size_0.jpg", "question": "Which person is the larger of the two?", "A": "69,741", "B": "115,722", "C": "161,802", "D": "246,748"} +{"index": 314, "question_id": "000570__pair_size_2", "image_path": "images_annotated/000570_000570__pair_size_2.jpg", "question": "Which person is the smaller of the two?", "A": "69,741", "B": "115,722", "C": "161,802", "D": "246,748"} +{"index": 315, "question_id": "000575__relation_nearest_to_unique_6", "image_path": "images_annotated/000575_000575__relation_nearest_to_unique_6.jpg", "question": "Find the car closest to the person.", "A": "227,751", "B": "266,765", "C": "108,822", "D": "302,731"} +{"index": 316, "question_id": "000575__unique_class_5", "image_path": "images_annotated/000575_000575__unique_class_5.jpg", "question": "Where is the person standing on the sidewalk?", "A": "108,822", "B": "227,751", "C": "266,765", "D": "38,732"} +{"index": 317, "question_id": "000580__largest_in_class_1", "image_path": "images_annotated/000580_000580__largest_in_class_1.jpg", "question": "Tap the largest car in the scene.", "A": "245,772", "B": "291,735", "C": "74,849", "D": "330,738"} +{"index": 318, "question_id": "000580__closest_to_center_0", "image_path": "images_annotated/000580_000580__closest_to_center_0.jpg", "question": "Where is the car closest to the center of the road?", "A": "330,738", "B": "291,735", "C": "361,716", "D": "245,772"} +{"index": 319, "question_id": "000585__leftmost_in_class_0", "image_path": "images_annotated/000585_000585__leftmost_in_class_0.jpg", "question": "Find the leftmost car in the scene.", "A": "218,780", "B": "39,839", "C": "279,738", "D": "320,741"} +{"index": 320, "question_id": "000585__smallest_in_class_5", "image_path": "images_annotated/000585_000585__smallest_in_class_5.jpg", "question": "Where is the smallest car on the road?", "A": "359,716", "B": "320,741", "C": "346,719", "D": "279,738"} +{"index": 321, "question_id": "000590__leftmost_in_class_3", "image_path": "images_annotated/000590_000590__leftmost_in_class_3.jpg", "question": "Which car is the leftmost one in the line of traffic?", "A": "265,739", "B": "184,793", "C": "309,745", "D": "343,721"} +{"index": 322, "question_id": "000590__rightmost_in_class_2", "image_path": "images_annotated/000590_000590__rightmost_in_class_2.jpg", "question": "Find the car that is furthest to the right in the scene.", "A": "357,716", "B": "343,721", "C": "309,745", "D": "969,641"} +{"index": 323, "question_id": "000590__unique_class_6", "image_path": "images_annotated/000590_000590__unique_class_6.jpg", "question": "Where is the person standing on the sidewalk?", "A": "184,793", "B": "265,739", "C": "8,728", "D": "309,745"} +{"index": 324, "question_id": "000595__largest_in_class_4", "image_path": "images_annotated/000595_000595__largest_in_class_4.jpg", "question": "Which car is the largest in the image?", "A": "254,745", "B": "296,754", "C": "139,810", "D": "340,724"} +{"index": 325, "question_id": "000595__closest_to_center_6", "image_path": "images_annotated/000595_000595__closest_to_center_6.jpg", "question": "Point to the car closest to the center of the image.", "A": "375,714", "B": "355,719", "C": "340,724", "D": "296,754"} +{"index": 326, "question_id": "000595__rightmost_in_class_0", "image_path": "images_annotated/000595_000595__rightmost_in_class_0.jpg", "question": "Find the car that is furthest to the right on the road.", "A": "375,714", "B": "355,719", "C": "978,643", "D": "340,724"} +{"index": 327, "question_id": "000600__leftmost_in_class_3", "image_path": "images_annotated/000600_000600__leftmost_in_class_3.jpg", "question": "Where is the leftmost car on the road?", "A": "180,762", "B": "85,831", "C": "240,749", "D": "279,760"} +{"index": 328, "question_id": "000600__smallest_in_class_1", "image_path": "images_annotated/000600_000600__smallest_in_class_1.jpg", "question": "Find the smallest car in the image.", "A": "353,719", "B": "336,724", "C": "319,729", "D": "989,642"} +{"index": 329, "question_id": "000600__closest_to_center_6", "image_path": "images_annotated/000600_000600__closest_to_center_6.jpg", "question": "Point to the car closest to the center of the image.", "A": "353,719", "B": "336,724", "C": "319,729", "D": "279,760"} +{"index": 330, "question_id": "000605__largest_in_class_6", "image_path": "images_annotated/000605_000605__largest_in_class_6.jpg", "question": "Which car on the left is the largest?", "A": "55,839", "B": "141,773", "C": "222,748", "D": "258,766"} +{"index": 331, "question_id": "000610__largest_in_class_1", "image_path": "images_annotated/000610_000610__largest_in_class_1.jpg", "question": "Which car is the largest on the left side of the road?", "A": "91,777", "B": "230,775", "C": "303,729", "D": "329,724"} +{"index": 332, "question_id": "000615__relation_nearest_to_unique_8", "image_path": "images_annotated/000615_000615__relation_nearest_to_unique_8.jpg", "question": "Point to the car nearest to the person.", "A": "193,784", "B": "297,729", "C": "61,786", "D": "324,723"} +{"index": 333, "question_id": "000615__rightmost_in_class_3", "image_path": "images_annotated/000615_000615__rightmost_in_class_3.jpg", "question": "Find the car that is furthest to the right on the road.", "A": "378,708", "B": "372,710", "C": "362,713", "D": "870,655"} +{"index": 334, "question_id": "000615__largest_in_class_4", "image_path": "images_annotated/000615_000615__largest_in_class_4.jpg", "question": "Which car is the largest in the image?", "A": "297,729", "B": "61,786", "C": "193,784", "D": "324,723"} +{"index": 335, "question_id": "000620__leftmost_in_class_6", "image_path": "images_annotated/000620_000620__leftmost_in_class_6.jpg", "question": "Which car is the leftmost one in the image?", "A": "40,781", "B": "141,803", "C": "289,731", "D": "319,724"} +{"index": 336, "question_id": "000620__closest_bottom_edge_3", "image_path": "images_annotated/000620_000620__closest_bottom_edge_3.jpg", "question": "Find the car closest to the bottom edge of the image.", "A": "40,781", "B": "141,803", "C": "289,731", "D": "319,724"} +{"index": 337, "question_id": "000620__quadrant_hint_5", "image_path": "images_annotated/000620_000620__quadrant_hint_5.jpg", "question": "Point to the person standing near the cars on the left.", "A": "82,716", "B": "40,781", "C": "141,803", "D": "289,731"} +{"index": 338, "question_id": "000625__leftmost_in_class_7", "image_path": "images_annotated/000625_000625__leftmost_in_class_7.jpg", "question": "Where is the leftmost car parked on the side of the road?", "A": "172,756", "B": "85,836", "C": "281,734", "D": "313,726"} +{"index": 339, "question_id": "000625__smallest_in_class_6", "image_path": "images_annotated/000625_000625__smallest_in_class_6.jpg", "question": "Point to the smallest car parked on the left side of the road.", "A": "367,711", "B": "356,716", "C": "338,719", "D": "378,709"} +{"index": 340, "question_id": "000630__largest_in_class_5", "image_path": "images_annotated/000630_000630__largest_in_class_5.jpg", "question": "Find the largest car on the left side of the road.", "A": "134,771", "B": "49,834", "C": "270,739", "D": "306,731"} +{"index": 341, "question_id": "000630__smallest_in_class_0", "image_path": "images_annotated/000630_000630__smallest_in_class_0.jpg", "question": "Point to the smallest car parked on the left side.", "A": "364,713", "B": "353,717", "C": "333,721", "D": "376,710"} +{"index": 342, "question_id": "000635__largest_in_class_3", "image_path": "images_annotated/000635_000635__largest_in_class_3.jpg", "question": "Point to the largest car parked on the left side of the road.", "A": "258,743", "B": "297,731", "C": "89,779", "D": "328,722"} +{"index": 343, "question_id": "000635__unique_class_2", "image_path": "images_annotated/000635_000635__unique_class_2.jpg", "question": "Find the person standing on the far left near the cars.", "A": "5,729", "B": "89,779", "C": "258,743", "D": "297,731"} +{"index": 344, "question_id": "000635__smallest_in_class_0", "image_path": "images_annotated/000635_000635__smallest_in_class_0.jpg", "question": "Point to the smallest car on the left side of the road.", "A": "360,714", "B": "348,719", "C": "373,711", "D": "328,722"} +{"index": 345, "question_id": "000640__leftmost_in_class_2", "image_path": "images_annotated/000640_000640__leftmost_in_class_2.jpg", "question": "Point to the leftmost car parked on the street.", "A": "245,748", "B": "57,791", "C": "289,734", "D": "322,727"} +{"index": 346, "question_id": "000640__smallest_in_class_5", "image_path": "images_annotated/000640_000640__smallest_in_class_5.jpg", "question": "Find the smallest car among the group on the right side of the road.", "A": "370,712", "B": "357,715", "C": "344,720", "D": "322,727"} +{"index": 347, "question_id": "000645__largest_in_class_0", "image_path": "images_annotated/000645_000645__largest_in_class_0.jpg", "question": "Which car on the left is the largest?", "A": "230,749", "B": "278,738", "C": "315,730", "D": "37,788"} +{"index": 348, "question_id": "000645__smallest_in_class_6", "image_path": "images_annotated/000645_000645__smallest_in_class_6.jpg", "question": "Find the smallest car parked on the right side of the road.", "A": "353,718", "B": "339,722", "C": "315,730", "D": "367,714"} +{"index": 349, "question_id": "000650__leftmost_in_class_1", "image_path": "images_annotated/000650_000650__leftmost_in_class_1.jpg", "question": "Where is the leftmost car parked along the street?", "A": "266,742", "B": "212,758", "C": "307,731", "D": "333,723"} +{"index": 350, "question_id": "000650__closest_bottom_edge_3", "image_path": "images_annotated/000650_000650__closest_bottom_edge_3.jpg", "question": "Point to the road sign that is closest to the bottom edge of the image.", "A": "161,622", "B": "212,758", "C": "160,644", "D": "266,742"} +{"index": 351, "question_id": "000650__closest_top_edge_7", "image_path": "images_annotated/000650_000650__closest_top_edge_7.jpg", "question": "Tap the road sign that is closest to the top edge of the image.", "A": "161,622", "B": "160,644", "C": "212,758", "D": "266,742"} +{"index": 352, "question_id": "000655__largest_in_class_2", "image_path": "images_annotated/000655_000655__largest_in_class_2.jpg", "question": "Point to the largest car parked on the left side of the road.", "A": "253,746", "B": "192,759", "C": "277,711", "D": "299,734"} +{"index": 353, "question_id": "000655__closest_top_edge_3", "image_path": "images_annotated/000655_000655__closest_top_edge_3.jpg", "question": "Where is the road sign that is closest to the top edge of the image?", "A": "136,617", "B": "136,641", "C": "192,759", "D": "253,746"} +{"index": 354, "question_id": "000655__bottommost_in_class_5", "image_path": "images_annotated/000655_000655__bottommost_in_class_5.jpg", "question": "Point to the road sign that is lowest on the image.", "A": "136,617", "B": "192,759", "C": "136,641", "D": "253,746"} +{"index": 355, "question_id": "000660__leftmost_in_class_5", "image_path": "images_annotated/000660_000660__leftmost_in_class_5.jpg", "question": "Where is the leftmost car parked along the side of the road?", "A": "238,752", "B": "168,768", "C": "290,737", "D": "320,728"} +{"index": 356, "question_id": "000660__smallest_in_class_2", "image_path": "images_annotated/000660_000660__smallest_in_class_2.jpg", "question": "Which car is the smallest one parked on the left side of the road?", "A": "356,719", "B": "339,722", "C": "320,728", "D": "290,737"} +{"index": 357, "question_id": "000660__bottommost_in_class_6", "image_path": "images_annotated/000660_000660__bottommost_in_class_6.jpg", "question": "Point to the road sign that is lowest on the image.", "A": "108,610", "B": "168,768", "C": "238,752", "D": "107,637"} +{"index": 358, "question_id": "000665__largest_in_class_3", "image_path": "images_annotated/000665_000665__largest_in_class_3.jpg", "question": "Find the largest car parked on the left side of the street.", "A": "140,775", "B": "220,756", "C": "245,713", "D": "280,742"} +{"index": 359, "question_id": "000665__topmost_in_class_0", "image_path": "images_annotated/000665_000665__topmost_in_class_0.jpg", "question": "Which road sign is the highest in the image?", "A": "75,632", "B": "140,775", "C": "76,604", "D": "220,756"} +{"index": 360, "question_id": "000665__bottommost_in_class_1", "image_path": "images_annotated/000665_000665__bottommost_in_class_1.jpg", "question": "Where is the lowest road sign in the scene?", "A": "76,604", "B": "140,775", "C": "220,756", "D": "75,632"} +{"index": 361, "question_id": "000670__leftmost_in_class_7", "image_path": "images_annotated/000670_000670__leftmost_in_class_7.jpg", "question": "Point to the leftmost car parked on the street.", "A": "200,765", "B": "107,784", "C": "230,717", "D": "269,744"} +{"index": 362, "question_id": "000670__relation_nearest_to_unique_2", "image_path": "images_annotated/000670_000670__relation_nearest_to_unique_2.jpg", "question": "Find the car closest to the stop sign.", "A": "347,722", "B": "327,728", "C": "304,735", "D": "350,707"} +{"index": 363, "question_id": "000670__unique_class_1", "image_path": "images_annotated/000670_000670__unique_class_1.jpg", "question": "Point to the red stop sign in the distance.", "A": "527,642", "B": "350,707", "C": "347,722", "D": "327,728"} +{"index": 364, "question_id": "000675__largest_in_class_4", "image_path": "images_annotated/000675_000675__largest_in_class_4.jpg", "question": "Which car on the left is the largest in the image?", "A": "176,772", "B": "70,795", "C": "219,718", "D": "257,751"} +{"index": 365, "question_id": "000675__relation_nearest_to_unique_2", "image_path": "images_annotated/000675_000675__relation_nearest_to_unique_2.jpg", "question": "Find the car that is closest to the stop sign.", "A": "342,727", "B": "321,732", "C": "346,710", "D": "295,740"} +{"index": 366, "question_id": "000675__quadrant_hint_0", "image_path": "images_annotated/000675_000675__quadrant_hint_0.jpg", "question": "Where is the stop sign located in the lower right portion of the image?", "A": "529,641", "B": "346,710", "C": "342,727", "D": "321,732"} +{"index": 367, "question_id": "000680__leftmost_in_class_6", "image_path": "images_annotated/000680_000680__leftmost_in_class_6.jpg", "question": "Where is the leftmost car in the image?", "A": "147,782", "B": "207,721", "C": "243,756", "D": "50,810"} +{"index": 368, "question_id": "000680__relation_right_of_unique_4", "image_path": "images_annotated/000680_000680__relation_right_of_unique_4.jpg", "question": "Find the car to the right of the red stop sign.", "A": "343,713", "B": "336,731", "C": "849,653", "D": "314,736"} +{"index": 369, "question_id": "000680__relation_nearest_to_unique_2", "image_path": "images_annotated/000680_000680__relation_nearest_to_unique_2.jpg", "question": "Point to the car nearest to the white building on the left.", "A": "336,731", "B": "343,713", "C": "314,736", "D": "285,744"} +{"index": 370, "question_id": "000685__largest_in_class_3", "image_path": "images_annotated/000685_000685__largest_in_class_3.jpg", "question": "Find the largest car parked on the left side of the road.", "A": "28,806", "B": "195,715", "C": "113,789", "D": "228,760"} +{"index": 371, "question_id": "000685__quadrant_hint_8", "image_path": "images_annotated/000685_000685__quadrant_hint_8.jpg", "question": "Point to the car in the lower right corner of the image.", "A": "339,710", "B": "331,728", "C": "306,735", "D": "853,650"} +{"index": 372, "question_id": "000685__leftmost_in_class_0", "image_path": "images_annotated/000685_000685__leftmost_in_class_0.jpg", "question": "Point to the leftmost car parked on the street.", "A": "28,806", "B": "113,789", "C": "195,715", "D": "228,760"} +{"index": 373, "question_id": "000690__largest_in_class_0", "image_path": "images_annotated/000690_000690__largest_in_class_0.jpg", "question": "Which car on the left is the largest?", "A": "181,709", "B": "210,763", "C": "262,747", "D": "73,798"} +{"index": 374, "question_id": "000690__relation_right_of_unique_7", "image_path": "images_annotated/000690_000690__relation_right_of_unique_7.jpg", "question": "Find the car to the right of the red stop sign.", "A": "336,710", "B": "326,731", "C": "298,737", "D": "857,648"} +{"index": 375, "question_id": "000690__unique_class_6", "image_path": "images_annotated/000690_000690__unique_class_6.jpg", "question": "Where is the only stop sign in the scene?", "A": "336,710", "B": "326,731", "C": "535,633", "D": "298,737"} +{"index": 376, "question_id": "000695__smallest_in_class_3", "image_path": "images_annotated/000695_000695__smallest_in_class_3.jpg", "question": "Find the smallest car in the image.", "A": "862,646", "B": "333,710", "C": "319,730", "D": "290,737"} +{"index": 377, "question_id": "000695__relation_nearest_to_unique_4", "image_path": "images_annotated/000695_000695__relation_nearest_to_unique_4.jpg", "question": "Which car is closest to the stop sign?", "A": "319,730", "B": "290,737", "C": "333,710", "D": "249,750"} +{"index": 378, "question_id": "000695__unique_class_0", "image_path": "images_annotated/000695_000695__unique_class_0.jpg", "question": "Point to the red stop sign on the pole.", "A": "333,710", "B": "319,730", "C": "290,737", "D": "538,631"} +{"index": 379, "question_id": "000700__largest_in_class_3", "image_path": "images_annotated/000700_000700__largest_in_class_3.jpg", "question": "Point to the largest car parked on the left side of the road.", "A": "168,769", "B": "234,752", "C": "279,740", "D": "35,797"} +{"index": 380, "question_id": "000700__relation_nearest_to_unique_4", "image_path": "images_annotated/000700_000700__relation_nearest_to_unique_4.jpg", "question": "Find the car nearest to the stop sign.", "A": "313,731", "B": "279,740", "C": "330,707", "D": "234,752"} +{"index": 381, "question_id": "000700__relation_right_of_unique_0", "image_path": "images_annotated/000700_000700__relation_right_of_unique_0.jpg", "question": "Point to the car on the far right of the road.", "A": "330,707", "B": "313,731", "C": "279,740", "D": "867,644"} +{"index": 382, "question_id": "000705__leftmost_in_class_2", "image_path": "images_annotated/000705_000705__leftmost_in_class_2.jpg", "question": "Point to the leftmost car in the line of parked vehicles.", "A": "218,752", "B": "269,739", "C": "305,727", "D": "142,770"} +{"index": 383, "question_id": "000705__relation_right_of_unique_0", "image_path": "images_annotated/000705_000705__relation_right_of_unique_0.jpg", "question": "Point to the car on the far right of the road.", "A": "327,705", "B": "872,641", "C": "305,727", "D": "269,739"} +{"index": 384, "question_id": "000705__unique_class_3", "image_path": "images_annotated/000705_000705__unique_class_3.jpg", "question": "Find the red stop sign on the right side of the road.", "A": "327,705", "B": "305,727", "C": "269,739", "D": "544,620"} +{"index": 385, "question_id": "000710__leftmost_in_class_5", "image_path": "images_annotated/000710_000710__leftmost_in_class_5.jpg", "question": "Which car is the leftmost one parked on the side of the road?", "A": "111,779", "B": "197,759", "C": "255,743", "D": "297,731"} +{"index": 386, "question_id": "000710__rightmost_in_class_7", "image_path": "images_annotated/000710_000710__rightmost_in_class_7.jpg", "question": "Find the rightmost car in the image.", "A": "877,643", "B": "837,651", "C": "969,628", "D": "430,701"} +{"index": 387, "question_id": "000710__unique_class_4", "image_path": "images_annotated/000710_000710__unique_class_4.jpg", "question": "Point to the red stop sign on the right side of the road.", "A": "430,701", "B": "547,619", "C": "323,706", "D": "297,731"} +{"index": 388, "question_id": "000715__largest_in_class_0", "image_path": "images_annotated/000715_000715__largest_in_class_0.jpg", "question": "Point to the largest car parked on the left.", "A": "75,785", "B": "176,763", "C": "243,747", "D": "288,733"} +{"index": 389, "question_id": "000715__rightmost_in_class_9", "image_path": "images_annotated/000715_000715__rightmost_in_class_9.jpg", "question": "Tap the car parked at the far right edge of the road.", "A": "882,644", "B": "843,652", "C": "976,629", "D": "429,702"} +{"index": 390, "question_id": "000715__unique_class_8", "image_path": "images_annotated/000715_000715__unique_class_8.jpg", "question": "Where is the stop sign located?", "A": "429,702", "B": "320,706", "C": "288,733", "D": "551,618"} +{"index": 391, "question_id": "000720__leftmost_in_class_9", "image_path": "images_annotated/000720_000720__leftmost_in_class_9.jpg", "question": "Tap the car that is farthest to the left in the scene.", "A": "112,700", "B": "147,769", "C": "55,792", "D": "228,749"} +{"index": 392, "question_id": "000720__relation_nearest_to_unique_1", "image_path": "images_annotated/000720_000720__relation_nearest_to_unique_1.jpg", "question": "Find the car that is nearest to the red stop sign.", "A": "413,701", "B": "316,707", "C": "279,735", "D": "427,704"} +{"index": 393, "question_id": "000720__unique_class_2", "image_path": "images_annotated/000720_000720__unique_class_2.jpg", "question": "Where is the red stop sign on the right side of the road?", "A": "427,704", "B": "413,701", "C": "555,616", "D": "316,707"} +{"index": 394, "question_id": "000725__largest_in_class_6", "image_path": "images_annotated/000725_000725__largest_in_class_6.jpg", "question": "Find the largest car parked on the left side of the road.", "A": "176,719", "B": "33,786", "C": "212,752", "D": "115,776"} +{"index": 395, "question_id": "000725__leftmost_in_class_3", "image_path": "images_annotated/000725_000725__leftmost_in_class_3.jpg", "question": "Point to the leftmost car parked on the street.", "A": "115,776", "B": "176,719", "C": "33,786", "D": "212,752"} +{"index": 396, "question_id": "000725__unique_class_9", "image_path": "images_annotated/000725_000725__unique_class_9.jpg", "question": "Where is the red stop sign located?", "A": "426,705", "B": "411,703", "C": "313,708", "D": "560,614"} +{"index": 397, "question_id": "000730__largest_in_class_3", "image_path": "images_annotated/000730_000730__largest_in_class_3.jpg", "question": "Find the largest car parked on the left side of the road.", "A": "154,721", "B": "77,785", "C": "195,757", "D": "239,713"} +{"index": 398, "question_id": "000730__relation_nearest_to_unique_8", "image_path": "images_annotated/000730_000730__relation_nearest_to_unique_8.jpg", "question": "Point to the car that is nearest to the red stop sign.", "A": "409,705", "B": "309,710", "C": "279,709", "D": "424,708"} +{"index": 399, "question_id": "000730__quadrant_hint_12", "image_path": "images_annotated/000730_000730__quadrant_hint_12.jpg", "question": "Tap the red stop sign located in the lower right quadrant.", "A": "424,708", "B": "409,705", "C": "565,613", "D": "309,710"} +{"index": 400, "question_id": "000735__leftmost_in_class_9", "image_path": "images_annotated/000735_000735__leftmost_in_class_9.jpg", "question": "Where is the leftmost car parked on the side of the road?", "A": "139,721", "B": "175,764", "C": "55,794", "D": "231,713"} +{"index": 401, "question_id": "000735__relation_nearest_to_unique_1", "image_path": "images_annotated/000735_000735__relation_nearest_to_unique_1.jpg", "question": "Find the car that is closest to the stop sign.", "A": "407,706", "B": "306,710", "C": "274,709", "D": "422,709"} +{"index": 402, "question_id": "000735__quadrant_hint_0", "image_path": "images_annotated/000735_000735__quadrant_hint_0.jpg", "question": "Where is the red stop sign located on the right side of the road?", "A": "571,608", "B": "422,709", "C": "407,706", "D": "306,710"} +{"index": 403, "question_id": "000740__largest_in_class_0", "image_path": "images_annotated/000740_000740__largest_in_class_0.jpg", "question": "Which car on the left is the largest?", "A": "71,719", "B": "36,786", "C": "103,717", "D": "119,716"} +{"index": 404, "question_id": "000740__relation_nearest_to_unique_13", "image_path": "images_annotated/000740_000740__relation_nearest_to_unique_13.jpg", "question": "Which car is closest to the stop sign?", "A": "406,705", "B": "303,709", "C": "421,709", "D": "270,707"} +{"index": 405, "question_id": "000740__quadrant_hint_12", "image_path": "images_annotated/000740_000740__quadrant_hint_12.jpg", "question": "Tap the red stop sign on the right side of the road.", "A": "421,709", "B": "578,604", "C": "406,705", "D": "303,709"} +{"index": 406, "question_id": "000745__rightmost_in_class_13", "image_path": "images_annotated/000745_000745__rightmost_in_class_13.jpg", "question": "Tap the car that is farthest to the right.", "A": "878,658", "B": "917,652", "C": "419,710", "D": "404,705"} +{"index": 407, "question_id": "000745__largest_in_class_11", "image_path": "images_annotated/000745_000745__largest_in_class_11.jpg", "question": "Find the largest car in the image.", "A": "89,712", "B": "189,713", "C": "127,769", "D": "46,717"} +{"index": 408, "question_id": "000745__unique_class_3", "image_path": "images_annotated/000745_000745__unique_class_3.jpg", "question": "Find the only stop sign in the image.", "A": "584,599", "B": "419,710", "C": "404,705", "D": "382,706"} +{"index": 409, "question_id": "000750__relation_nearest_to_unique_0", "image_path": "images_annotated/000750_000750__relation_nearest_to_unique_0.jpg", "question": "Point to the car nearest to the stop sign.", "A": "403,704", "B": "295,707", "C": "263,706", "D": "417,712"} +{"index": 410, "question_id": "000750__largest_in_class_5", "image_path": "images_annotated/000750_000750__largest_in_class_5.jpg", "question": "Find the largest car parked on the left side of the road.", "A": "98,773", "B": "33,715", "C": "178,712", "D": "205,749"} +{"index": 411, "question_id": "000750__leftmost_in_class_4", "image_path": "images_annotated/000750_000750__leftmost_in_class_4.jpg", "question": "Which car is the leftmost one parked on the street?", "A": "98,773", "B": "178,712", "C": "33,715", "D": "205,749"} +{"index": 412, "question_id": "000755__largest_in_class_10", "image_path": "images_annotated/000755_000755__largest_in_class_10.jpg", "question": "Find the largest car in the scene.", "A": "19,714", "B": "134,713", "C": "170,710", "D": "66,779"} +{"index": 413, "question_id": "000755__relation_nearest_to_unique_11", "image_path": "images_annotated/000755_000755__relation_nearest_to_unique_11.jpg", "question": "Point to the car nearest to the stop sign.", "A": "414,712", "B": "400,704", "C": "292,706", "D": "259,705"} +{"index": 414, "question_id": "000755__rightmost_in_class_0", "image_path": "images_annotated/000755_000755__rightmost_in_class_0.jpg", "question": "Point to the rightmost car in the image.", "A": "891,657", "B": "414,712", "C": "929,650", "D": "400,704"} +{"index": 415, "question_id": "000760__leftmost_in_class_9", "image_path": "images_annotated/000760_000760__leftmost_in_class_9.jpg", "question": "Find the car that is farthest to the left on the road.", "A": "114,710", "B": "161,708", "C": "171,754", "D": "52,782"} +{"index": 416, "question_id": "000760__relation_nearest_to_unique_8", "image_path": "images_annotated/000760_000760__relation_nearest_to_unique_8.jpg", "question": "Which car is closest to the stop sign?", "A": "411,712", "B": "429,699", "C": "398,702", "D": "379,702"} +{"index": 417, "question_id": "000760__unique_class_7", "image_path": "images_annotated/000760_000760__unique_class_7.jpg", "question": "Find the red octagonal stop sign on the right side of the road.", "A": "429,699", "B": "411,712", "C": "398,702", "D": "610,580"} +{"index": 418, "question_id": "000765__largest_in_class_9", "image_path": "images_annotated/000765_000765__largest_in_class_9.jpg", "question": "Point to the largest car on the left side of the road.", "A": "36,778", "B": "81,719", "C": "99,711", "D": "152,757"} +{"index": 419, "question_id": "000765__rightmost_in_class_4", "image_path": "images_annotated/000765_000765__rightmost_in_class_4.jpg", "question": "Point to the car on the far right of the road.", "A": "904,658", "B": "427,701", "C": "408,716", "D": "942,651"} +{"index": 420, "question_id": "000765__quadrant_hint_5", "image_path": "images_annotated/000765_000765__quadrant_hint_5.jpg", "question": "Where is the stop sign located on the right side of the road?", "A": "427,701", "B": "408,716", "C": "620,574", "D": "395,704"} +{"index": 421, "question_id": "000770__largest_in_class_7", "image_path": "images_annotated/000770_000770__largest_in_class_7.jpg", "question": "Find the largest car in the image.", "A": "131,768", "B": "88,713", "C": "191,708", "D": "56,726"} +{"index": 422, "question_id": "000770__relation_nearest_to_unique_9", "image_path": "images_annotated/000770_000770__relation_nearest_to_unique_9.jpg", "question": "Point to the car nearest to the stop sign.", "A": "405,721", "B": "427,704", "C": "376,706", "D": "281,709"} +{"index": 423, "question_id": "000770__quadrant_hint_11", "image_path": "images_annotated/000770_000770__quadrant_hint_11.jpg", "question": "Point to the road sign in the lower right quadrant.", "A": "427,704", "B": "405,721", "C": "632,570", "D": "376,706"} +{"index": 424, "question_id": "000775__bottommost_in_class_3", "image_path": "images_annotated/000775_000775__bottommost_in_class_3.jpg", "question": "Where is the car that is lowest on the road?", "A": "108,769", "B": "73,712", "C": "143,708", "D": "36,721"} +{"index": 425, "question_id": "000775__relation_nearest_to_unique_12", "image_path": "images_annotated/000775_000775__relation_nearest_to_unique_12.jpg", "question": "Which car is nearest to the red stop sign?", "A": "402,724", "B": "426,704", "C": "374,706", "D": "278,709"} +{"index": 426, "question_id": "000775__leftmost_in_class_0", "image_path": "images_annotated/000775_000775__leftmost_in_class_0.jpg", "question": "Point to the leftmost car on the road.", "A": "73,712", "B": "108,769", "C": "143,708", "D": "36,721"} +{"index": 427, "question_id": "000780__largest_in_class_15", "image_path": "images_annotated/000780_000780__largest_in_class_15.jpg", "question": "Find the largest car in the image.", "A": "60,702", "B": "83,774", "C": "133,709", "D": "28,719"} +{"index": 428, "question_id": "000780__relation_nearest_to_unique_11", "image_path": "images_annotated/000780_000780__relation_nearest_to_unique_11.jpg", "question": "Which car is nearest to the stop sign?", "A": "396,728", "B": "426,705", "C": "373,706", "D": "274,709"} +{"index": 429, "question_id": "000780__unique_class_5", "image_path": "images_annotated/000780_000780__unique_class_5.jpg", "question": "Point to the red stop sign on the right side of the road.", "A": "426,705", "B": "922,664", "C": "657,556", "D": "396,728"} +{"index": 430, "question_id": "000785__bottommost_in_class_6", "image_path": "images_annotated/000785_000785__bottommost_in_class_6.jpg", "question": "Where is the bottommost car in the image?", "A": "48,692", "B": "19,714", "C": "60,777", "D": "124,709"} +{"index": 431, "question_id": "000785__leftmost_in_class_7", "image_path": "images_annotated/000785_000785__leftmost_in_class_7.jpg", "question": "Point to the leftmost car in the scene.", "A": "48,692", "B": "19,714", "C": "60,777", "D": "124,709"} +{"index": 432, "question_id": "000785__rightmost_in_class_1", "image_path": "images_annotated/000785_000785__rightmost_in_class_1.jpg", "question": "Point to the rightmost car in the scene.", "A": "928,665", "B": "965,658", "C": "426,706", "D": "390,732"} +{"index": 433, "question_id": "000790__largest_in_class_5", "image_path": "images_annotated/000790_000790__largest_in_class_5.jpg", "question": "Which car on the left is the largest?", "A": "39,684", "B": "112,707", "C": "49,780", "D": "167,706"} +{"index": 434, "question_id": "000790__rightmost_in_class_7", "image_path": "images_annotated/000790_000790__rightmost_in_class_7.jpg", "question": "Which car is on the far right side of the road?", "A": "970,658", "B": "934,665", "C": "426,705", "D": "382,737"} +{"index": 435, "question_id": "000790__unique_class_8", "image_path": "images_annotated/000790_000790__unique_class_8.jpg", "question": "Where is the only stop sign in the scene?", "A": "934,665", "B": "686,538", "C": "426,705", "D": "970,658"} +{"index": 436, "question_id": "000795__bottommost_in_class_7", "image_path": "images_annotated/000795_000795__bottommost_in_class_7.jpg", "question": "Which car is at the bottom of the frame?", "A": "31,695", "B": "104,707", "C": "38,776", "D": "160,706"} +{"index": 437, "question_id": "000795__rightmost_in_class_12", "image_path": "images_annotated/000795_000795__rightmost_in_class_12.jpg", "question": "Tap the car that is farthest to the right.", "A": "940,664", "B": "425,705", "C": "402,704", "D": "975,658"} +{"index": 438, "question_id": "000795__unique_class_6", "image_path": "images_annotated/000795_000795__unique_class_6.jpg", "question": "Point to the stop sign.", "A": "940,664", "B": "702,527", "C": "975,658", "D": "425,705"} +{"index": 439, "question_id": "000800__relation_nearest_to_unique_9", "image_path": "images_annotated/000800_000800__relation_nearest_to_unique_9.jpg", "question": "Which car is nearest to the stop sign?", "A": "980,660", "B": "425,706", "C": "400,705", "D": "945,665"} +{"index": 440, "question_id": "000800__closest_to_center_7", "image_path": "images_annotated/000800_000800__closest_to_center_7.jpg", "question": "Find the car that is closest to the center of the image.", "A": "425,706", "B": "400,705", "C": "361,754", "D": "261,708"} +{"index": 441, "question_id": "000800__closest_bottom_edge_4", "image_path": "images_annotated/000800_000800__closest_bottom_edge_4.jpg", "question": "Which car is closest to the bottom edge of the image?", "A": "26,702", "B": "96,707", "C": "25,778", "D": "155,706"} +{"index": 442, "question_id": "000805__relation_nearest_to_unique_4", "image_path": "images_annotated/000805_000805__relation_nearest_to_unique_4.jpg", "question": "Which car is closest to the stop sign?", "A": "985,657", "B": "426,705", "C": "950,665", "D": "398,704"} +{"index": 443, "question_id": "000805__largest_in_class_3", "image_path": "images_annotated/000805_000805__largest_in_class_3.jpg", "question": "Find the largest car on the road.", "A": "345,766", "B": "383,710", "C": "398,704", "D": "426,705"} +{"index": 444, "question_id": "000805__rightmost_in_class_0", "image_path": "images_annotated/000805_000805__rightmost_in_class_0.jpg", "question": "Point to the rightmost car in the image.", "A": "950,665", "B": "426,705", "C": "398,704", "D": "985,657"} +{"index": 445, "question_id": "000810__leftmost_in_class_4", "image_path": "images_annotated/000810_000810__leftmost_in_class_4.jpg", "question": "Which car is the leftmost one in the image?", "A": "82,704", "B": "145,704", "C": "168,702", "D": "17,705"} +{"index": 446, "question_id": "000810__relation_nearest_to_unique_7", "image_path": "images_annotated/000810_000810__relation_nearest_to_unique_7.jpg", "question": "Find the car closest to the stop sign.", "A": "988,660", "B": "955,665", "C": "424,705", "D": "397,704"} +{"index": 447, "question_id": "000810__unique_class_8", "image_path": "images_annotated/000810_000810__unique_class_8.jpg", "question": "Where is the stop sign located?", "A": "955,665", "B": "988,660", "C": "757,492", "D": "424,705"} +{"index": 448, "question_id": "000815__largest_in_class_0", "image_path": "images_annotated/000815_000815__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "245,705", "B": "287,810", "C": "215,702", "D": "371,711"} +{"index": 449, "question_id": "000815__leftmost_in_class_3", "image_path": "images_annotated/000815_000815__leftmost_in_class_3.jpg", "question": "Find the car that is farthest to the left.", "A": "139,703", "B": "164,702", "C": "74,704", "D": "176,693"} +{"index": 450, "question_id": "000815__closest_to_center_11", "image_path": "images_annotated/000815_000815__closest_to_center_11.jpg", "question": "Which car is closest to the center of the image?", "A": "397,704", "B": "371,711", "C": "287,810", "D": "423,705"} +{"index": 451, "question_id": "000820__bottommost_in_class_1", "image_path": "images_annotated/000820_000820__bottommost_in_class_1.jpg", "question": "Where is the bottommost car?", "A": "172,695", "B": "158,700", "C": "226,864", "D": "133,706"} +{"index": 452, "question_id": "000820__leftmost_in_class_0", "image_path": "images_annotated/000820_000820__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the scene.", "A": "133,706", "B": "158,700", "C": "172,695", "D": "66,706"} +{"index": 453, "question_id": "000820__unique_class_3", "image_path": "images_annotated/000820_000820__unique_class_3.jpg", "question": "Point to the only road sign in the image.", "A": "963,669", "B": "797,469", "C": "992,661", "D": "423,707"} +{"index": 454, "question_id": "000825__largest_in_class_0", "image_path": "images_annotated/000825_000825__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "251,714", "B": "362,720", "C": "138,941", "D": "394,711"} +{"index": 455, "question_id": "000825__closest_to_center_6", "image_path": "images_annotated/000825_000825__closest_to_center_6.jpg", "question": "Tap the car closest to the center of the road.", "A": "394,711", "B": "422,711", "C": "362,720", "D": "251,714"} +{"index": 456, "question_id": "000825__rightmost_in_class_3", "image_path": "images_annotated/000825_000825__rightmost_in_class_3.jpg", "question": "Where is the rightmost car on the road?", "A": "993,666", "B": "967,671", "C": "937,672", "D": "422,711"} +{"index": 457, "question_id": "000830__relation_nearest_to_unique_8", "image_path": "images_annotated/000830_000830__relation_nearest_to_unique_8.jpg", "question": "Find the car that is nearest to the red stop sign.", "A": "994,667", "B": "421,713", "C": "393,712", "D": "970,672"} +{"index": 458, "question_id": "000830__closest_to_center_2", "image_path": "images_annotated/000830_000830__closest_to_center_2.jpg", "question": "Point to the car closest to the center of the image.", "A": "421,713", "B": "393,712", "C": "356,723", "D": "242,714"} +{"index": 459, "question_id": "000830__unique_class_10", "image_path": "images_annotated/000830_000830__unique_class_10.jpg", "question": "Where is the only road sign in the scene?", "A": "970,672", "B": "844,440", "C": "994,667", "D": "421,713"} +{"index": 460, "question_id": "000835__largest_in_class_5", "image_path": "images_annotated/000835_000835__largest_in_class_5.jpg", "question": "Where is the largest car on the road?", "A": "198,706", "B": "239,713", "C": "177,709", "D": "160,699"} +{"index": 461, "question_id": "000835__rightmost_in_class_8", "image_path": "images_annotated/000835_000835__rightmost_in_class_8.jpg", "question": "Tap the rightmost car in the image.", "A": "420,711", "B": "392,710", "C": "973,670", "D": "371,708"} +{"index": 462, "question_id": "000835__smallest_in_class_4", "image_path": "images_annotated/000835_000835__smallest_in_class_4.jpg", "question": "Find the smallest car in the scene.", "A": "392,710", "B": "351,724", "C": "420,711", "D": "371,708"} +{"index": 463, "question_id": "000840__quadrant_hint_9", "image_path": "images_annotated/000840_000840__quadrant_hint_9.jpg", "question": "Tap the car in the lower right corner of the image.", "A": "419,707", "B": "391,706", "C": "977,667", "D": "370,704"} +{"index": 464, "question_id": "000840__leftmost_in_class_6", "image_path": "images_annotated/000840_000840__leftmost_in_class_6.jpg", "question": "Point to the leftmost car on the road.", "A": "111,703", "B": "34,703", "C": "139,703", "D": "156,694"} +{"index": 465, "question_id": "000840__unique_class_8", "image_path": "images_annotated/000840_000840__unique_class_8.jpg", "question": "Where is the only stop sign in the scene?", "A": "977,667", "B": "419,707", "C": "391,706", "D": "902,396"} +{"index": 466, "question_id": "000845__quadrant_hint_1", "image_path": "images_annotated/000845_000845__quadrant_hint_1.jpg", "question": "Where is the car in the lower right quadrant?", "A": "418,708", "B": "390,706", "C": "981,668", "D": "369,704"} +{"index": 467, "question_id": "000845__unique_class_5", "image_path": "images_annotated/000845_000845__unique_class_5.jpg", "question": "Point to the only road sign in the image.", "A": "934,373", "B": "981,668", "C": "418,708", "D": "390,706"} +{"index": 468, "question_id": "000845__closest_to_center_0", "image_path": "images_annotated/000845_000845__closest_to_center_0.jpg", "question": "Point to the car closest to the center of the image.", "A": "390,706", "B": "369,704", "C": "362,706", "D": "418,708"} +{"index": 469, "question_id": "000850__rightmost_in_class_9", "image_path": "images_annotated/000850_000850__rightmost_in_class_9.jpg", "question": "Which car is the rightmost one in the image?", "A": "951,669", "B": "417,708", "C": "985,667", "D": "389,707"} +{"index": 470, "question_id": "000850__closest_to_center_13", "image_path": "images_annotated/000850_000850__closest_to_center_13.jpg", "question": "Which car is closest to the center of the image?", "A": "389,707", "B": "417,708", "C": "368,704", "D": "359,706"} +{"index": 471, "question_id": "000850__quadrant_hint_10", "image_path": "images_annotated/000850_000850__quadrant_hint_10.jpg", "question": "Point to the road sign in the upper right quadrant.", "A": "985,667", "B": "951,669", "C": "417,708", "D": "969,348"} +{"index": 472, "question_id": "000855__leftmost_in_class_1", "image_path": "images_annotated/000855_000855__leftmost_in_class_1.jpg", "question": "Point to the leftmost car on the road.", "A": "95,700", "B": "126,699", "C": "145,681", "D": "22,700"} +{"index": 473, "question_id": "000855__closest_bottom_edge_9", "image_path": "images_annotated/000855_000855__closest_bottom_edge_9.jpg", "question": "Which car is closest to the bottom edge of the frame?", "A": "320,727", "B": "357,705", "C": "368,701", "D": "388,705"} +{"index": 474, "question_id": "000855__rightmost_in_class_5", "image_path": "images_annotated/000855_000855__rightmost_in_class_5.jpg", "question": "Where is the rightmost car in the image?", "A": "954,666", "B": "416,706", "C": "988,665", "D": "388,705"} +{"index": 475, "question_id": "000860__largest_in_class_8", "image_path": "images_annotated/000860_000860__largest_in_class_8.jpg", "question": "Which car has the largest area in the image?", "A": "309,730", "B": "357,706", "C": "367,702", "D": "388,706"} +{"index": 476, "question_id": "000860__closest_to_center_10", "image_path": "images_annotated/000860_000860__closest_to_center_10.jpg", "question": "Which car is closest to the center of the image?", "A": "388,706", "B": "367,702", "C": "357,706", "D": "415,706"} +{"index": 477, "question_id": "000860__leftmost_in_class_7", "image_path": "images_annotated/000860_000860__leftmost_in_class_7.jpg", "question": "Point to the leftmost car in the image.", "A": "91,700", "B": "19,700", "C": "122,699", "D": "149,704"} +{"index": 478, "question_id": "000865__bottommost_in_class_9", "image_path": "images_annotated/000865_000865__bottommost_in_class_9.jpg", "question": "Point to the car that is lowest in the image.", "A": "356,703", "B": "367,700", "C": "223,704", "D": "297,731"} +{"index": 479, "question_id": "000865__leftmost_in_class_4", "image_path": "images_annotated/000865_000865__leftmost_in_class_4.jpg", "question": "Where is the leftmost car on the road?", "A": "87,697", "B": "118,696", "C": "17,697", "D": "143,701"} +{"index": 480, "question_id": "000865__smallest_in_class_2", "image_path": "images_annotated/000865_000865__smallest_in_class_2.jpg", "question": "Find the smallest car in the image.", "A": "367,700", "B": "356,703", "C": "387,703", "D": "415,705"} +{"index": 481, "question_id": "000870__largest_in_class_8", "image_path": "images_annotated/000870_000870__largest_in_class_8.jpg", "question": "Find the largest car in the image.", "A": "283,737", "B": "221,704", "C": "356,703", "D": "367,700"} +{"index": 482, "question_id": "000870__leftmost_in_class_0", "image_path": "images_annotated/000870_000870__leftmost_in_class_0.jpg", "question": "Which car is the leftmost one in the image?", "A": "83,697", "B": "116,693", "C": "136,702", "D": "13,697"} +{"index": 483, "question_id": "000870__rightmost_in_class_12", "image_path": "images_annotated/000870_000870__rightmost_in_class_12.jpg", "question": "Point to the rightmost car in the image.", "A": "962,664", "B": "414,706", "C": "993,662", "D": "405,696"} +{"index": 484, "question_id": "000875__bottommost_in_class_3", "image_path": "images_annotated/000875_000875__bottommost_in_class_3.jpg", "question": "Find the car that is lowest in the frame.", "A": "219,705", "B": "355,706", "C": "267,744", "D": "174,700"} +{"index": 485, "question_id": "000875__leftmost_in_class_9", "image_path": "images_annotated/000875_000875__leftmost_in_class_9.jpg", "question": "Where is the car on the far left side of the road?", "A": "10,698", "B": "79,699", "C": "111,691", "D": "130,704"} +{"index": 486, "question_id": "000875__rightmost_in_class_8", "image_path": "images_annotated/000875_000875__rightmost_in_class_8.jpg", "question": "Point to the car on the far right edge of the image.", "A": "964,666", "B": "995,664", "C": "414,707", "D": "386,705"} +{"index": 487, "question_id": "000880__largest_in_class_10", "image_path": "images_annotated/000880_000880__largest_in_class_10.jpg", "question": "Point to the largest car visible in the image.", "A": "208,705", "B": "171,699", "C": "246,751", "D": "153,695"} +{"index": 488, "question_id": "000880__closest_to_center_4", "image_path": "images_annotated/000880_000880__closest_to_center_4.jpg", "question": "Point to the car closest to the center of the image.", "A": "386,706", "B": "367,702", "C": "355,706", "D": "413,709"} +{"index": 489, "question_id": "000880__quadrant_hint_6", "image_path": "images_annotated/000880_000880__quadrant_hint_6.jpg", "question": "Find the car in the lower right quadrant of the image.", "A": "966,666", "B": "413,709", "C": "386,706", "D": "367,702"} +{"index": 490, "question_id": "000885__bottommost_in_class_6", "image_path": "images_annotated/000885_000885__bottommost_in_class_6.jpg", "question": "Where is the car that is lowest in the frame?", "A": "170,699", "B": "151,694", "C": "117,705", "D": "223,757"} +{"index": 491, "question_id": "000885__leftmost_in_class_3", "image_path": "images_annotated/000885_000885__leftmost_in_class_3.jpg", "question": "Point to the leftmost car in the image.", "A": "73,700", "B": "7,699", "C": "117,705", "D": "151,694"} +{"index": 492, "question_id": "000885__quadrant_hint_10", "image_path": "images_annotated/000885_000885__quadrant_hint_10.jpg", "question": "Point to the car in the lower right quadrant.", "A": "968,666", "B": "412,709", "C": "386,706", "D": "367,703"} +{"index": 493, "question_id": "000890__largest_in_class_8", "image_path": "images_annotated/000890_000890__largest_in_class_8.jpg", "question": "Find the largest car in the image.", "A": "150,692", "B": "109,705", "C": "69,701", "D": "194,769"} +{"index": 494, "question_id": "000890__rightmost_in_class_1", "image_path": "images_annotated/000890_000890__rightmost_in_class_1.jpg", "question": "Which car is the rightmost one in the image?", "A": "970,666", "B": "411,710", "C": "386,707", "D": "367,703"} +{"index": 495, "question_id": "000890__leftmost_in_class_0", "image_path": "images_annotated/000890_000890__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the scene.", "A": "109,705", "B": "150,692", "C": "69,701", "D": "194,769"} +{"index": 496, "question_id": "000895__bottommost_in_class_2", "image_path": "images_annotated/000895_000895__bottommost_in_class_2.jpg", "question": "Which car is closest to the bottom of the frame?", "A": "98,705", "B": "234,709", "C": "156,781", "D": "66,701"} +{"index": 497, "question_id": "000895__rightmost_in_class_7", "image_path": "images_annotated/000895_000895__rightmost_in_class_7.jpg", "question": "Point to the car on the far right of the road.", "A": "411,712", "B": "972,666", "C": "386,708", "D": "367,705"} +{"index": 498, "question_id": "000895__leftmost_in_class_1", "image_path": "images_annotated/000895_000895__leftmost_in_class_1.jpg", "question": "Point to the white car on the far left.", "A": "66,701", "B": "98,705", "C": "156,781", "D": "234,709"} +{"index": 499, "question_id": "000900__largest_in_class_5", "image_path": "images_annotated/000900_000900__largest_in_class_5.jpg", "question": "Which car is the largest in the scene?", "A": "220,709", "B": "109,800", "C": "355,707", "D": "367,705"} +{"index": 500, "question_id": "000900__rightmost_in_class_6", "image_path": "images_annotated/000900_000900__rightmost_in_class_6.jpg", "question": "Which car is the rightmost one in the image?", "A": "410,713", "B": "386,708", "C": "972,666", "D": "367,705"} +{"index": 501, "question_id": "000905__leftmost_in_class_7", "image_path": "images_annotated/000905_000905__leftmost_in_class_7.jpg", "question": "Where is the leftmost car in the scene?", "A": "169,703", "B": "81,819", "C": "214,710", "D": "355,708"} +{"index": 502, "question_id": "000905__quadrant_hint_2", "image_path": "images_annotated/000905_000905__quadrant_hint_2.jpg", "question": "Point to the car on the far right of the road.", "A": "409,715", "B": "385,710", "C": "367,706", "D": "973,667"} +{"index": 503, "question_id": "000910__largest_in_class_8", "image_path": "images_annotated/000910_000910__largest_in_class_8.jpg", "question": "Where is the largest car in the image?", "A": "132,702", "B": "150,694", "C": "167,703", "D": "56,813"} +{"index": 504, "question_id": "000910__rightmost_in_class_5", "image_path": "images_annotated/000910_000910__rightmost_in_class_5.jpg", "question": "Find the car that is furthest to the right in the image.", "A": "408,716", "B": "974,666", "C": "385,709", "D": "367,706"} +{"index": 505, "question_id": "000915__leftmost_in_class_1", "image_path": "images_annotated/000915_000915__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the image.", "A": "103,704", "B": "71,710", "C": "117,688", "D": "134,703"} +{"index": 506, "question_id": "000915__largest_in_class_2", "image_path": "images_annotated/000915_000915__largest_in_class_2.jpg", "question": "Find the largest car in the image.", "A": "167,704", "B": "151,695", "C": "213,711", "D": "134,703"} +{"index": 507, "question_id": "000915__quadrant_hint_8", "image_path": "images_annotated/000915_000915__quadrant_hint_8.jpg", "question": "Where is the car on the far right of the image?", "A": "407,716", "B": "385,710", "C": "367,706", "D": "974,666"} +{"index": 508, "question_id": "000920__quadrant_hint_9", "image_path": "images_annotated/000920_000920__quadrant_hint_9.jpg", "question": "Find the car on the far right side of the road.", "A": "975,667", "B": "406,718", "C": "384,710", "D": "367,706"} +{"index": 509, "question_id": "000920__leftmost_in_class_1", "image_path": "images_annotated/000920_000920__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the row of parked vehicles.", "A": "102,704", "B": "61,711", "C": "117,688", "D": "136,704"} +{"index": 510, "question_id": "000925__largest_in_class_0", "image_path": "images_annotated/000925_000925__largest_in_class_0.jpg", "question": "Which car is the largest in the image?", "A": "102,703", "B": "117,688", "C": "129,694", "D": "52,711"} +{"index": 511, "question_id": "000925__rightmost_in_class_5", "image_path": "images_annotated/000925_000925__rightmost_in_class_5.jpg", "question": "Where is the rightmost car in the image?", "A": "405,719", "B": "384,711", "C": "367,706", "D": "975,666"} +{"index": 512, "question_id": "000930__leftmost_in_class_12", "image_path": "images_annotated/000930_000930__leftmost_in_class_12.jpg", "question": "Tap the car that is closest to the left edge of the road.", "A": "79,706", "B": "42,713", "C": "102,704", "D": "118,689"} +{"index": 513, "question_id": "000930__quadrant_hint_8", "image_path": "images_annotated/000930_000930__quadrant_hint_8.jpg", "question": "Point to the car on the far right side of the road.", "A": "403,719", "B": "383,712", "C": "976,666", "D": "368,707"} +{"index": 514, "question_id": "000935__largest_in_class_2", "image_path": "images_annotated/000935_000935__largest_in_class_2.jpg", "question": "Which car on the left is the largest?", "A": "75,706", "B": "34,713", "C": "102,706", "D": "118,690"} +{"index": 515, "question_id": "000935__rightmost_in_class_8", "image_path": "images_annotated/000935_000935__rightmost_in_class_8.jpg", "question": "Find the rightmost car in the image.", "A": "976,667", "B": "402,721", "C": "382,713", "D": "367,708"} +{"index": 516, "question_id": "000940__largest_in_class_2", "image_path": "images_annotated/000940_000940__largest_in_class_2.jpg", "question": "Which car is the largest in the scene?", "A": "169,706", "B": "214,715", "C": "144,709", "D": "129,697"} +{"index": 517, "question_id": "000940__quadrant_hint_10", "image_path": "images_annotated/000940_000940__quadrant_hint_10.jpg", "question": "Find the car on the far right side of the road.", "A": "400,725", "B": "381,714", "C": "976,667", "D": "367,709"} +{"index": 518, "question_id": "000940__leftmost_in_class_5", "image_path": "images_annotated/000940_000940__leftmost_in_class_5.jpg", "question": "Point to the leftmost car in the image.", "A": "73,706", "B": "102,706", "C": "29,714", "D": "117,694"} +{"index": 519, "question_id": "000945__rightmost_in_class_2", "image_path": "images_annotated/000945_000945__rightmost_in_class_2.jpg", "question": "Find the car that is farthest to the right in the image.", "A": "976,667", "B": "398,724", "C": "380,716", "D": "367,709"} +{"index": 520, "question_id": "000945__largest_in_class_5", "image_path": "images_annotated/000945_000945__largest_in_class_5.jpg", "question": "Where is the largest car on the road?", "A": "169,706", "B": "214,715", "C": "146,709", "D": "130,698"} +{"index": 521, "question_id": "000945__leftmost_in_class_8", "image_path": "images_annotated/000945_000945__leftmost_in_class_8.jpg", "question": "Tap the car that is closest to the left edge of the image.", "A": "70,707", "B": "103,706", "C": "117,694", "D": "23,714"} +{"index": 522, "question_id": "000950__largest_in_class_5", "image_path": "images_annotated/000950_000950__largest_in_class_5.jpg", "question": "Which car is the largest one in the scene?", "A": "169,703", "B": "147,711", "C": "214,715", "D": "130,698"} +{"index": 523, "question_id": "000950__quadrant_hint_2", "image_path": "images_annotated/000950_000950__quadrant_hint_2.jpg", "question": "Point to the car on the far right side of the road.", "A": "414,706", "B": "976,668", "C": "395,725", "D": "378,715"} +{"index": 524, "question_id": "000950__closest_to_center_12", "image_path": "images_annotated/000950_000950__closest_to_center_12.jpg", "question": "Point to the car nearest to the center of the image.", "A": "414,706", "B": "395,725", "C": "378,715", "D": "367,709"} +{"index": 525, "question_id": "000955__largest_in_class_4", "image_path": "images_annotated/000955_000955__largest_in_class_4.jpg", "question": "Which car is the largest in the image?", "A": "170,710", "B": "213,715", "C": "148,711", "D": "129,698"} +{"index": 526, "question_id": "000955__rightmost_in_class_1", "image_path": "images_annotated/000955_000955__rightmost_in_class_1.jpg", "question": "Find the car that is farthest to the right in the image.", "A": "412,706", "B": "976,667", "C": "393,727", "D": "376,715"} +{"index": 527, "question_id": "000955__leftmost_in_class_11", "image_path": "images_annotated/000955_000955__leftmost_in_class_11.jpg", "question": "Point to the car on the far left side of the road.", "A": "66,707", "B": "102,707", "C": "117,692", "D": "11,715"} +{"index": 528, "question_id": "000960__largest_in_class_0", "image_path": "images_annotated/000960_000960__largest_in_class_0.jpg", "question": "Find the largest car in the scene.", "A": "171,709", "B": "149,712", "C": "213,716", "D": "129,698"} +{"index": 529, "question_id": "000960__quadrant_hint_1", "image_path": "images_annotated/000960_000960__quadrant_hint_1.jpg", "question": "Point to the car on the far right side of the road.", "A": "976,667", "B": "411,706", "C": "390,729", "D": "366,709"} +{"index": 530, "question_id": "000960__closest_to_center_3", "image_path": "images_annotated/000960_000960__closest_to_center_3.jpg", "question": "Where is the car closest to the center of the image?", "A": "390,729", "B": "411,706", "C": "366,709", "D": "356,714"} +{"index": 531, "question_id": "000965__rightmost_in_class_6", "image_path": "images_annotated/000965_000965__rightmost_in_class_6.jpg", "question": "Tap the rightmost car in the scene.", "A": "411,706", "B": "388,730", "C": "977,667", "D": "366,705"} +{"index": 532, "question_id": "000965__leftmost_in_class_2", "image_path": "images_annotated/000965_000965__leftmost_in_class_2.jpg", "question": "Find the leftmost car in the image.", "A": "101,707", "B": "64,708", "C": "116,692", "D": "129,698"} +{"index": 533, "question_id": "000965__largest_in_class_1", "image_path": "images_annotated/000965_000965__largest_in_class_1.jpg", "question": "Point to the largest car on the road.", "A": "212,716", "B": "170,709", "C": "150,712", "D": "129,698"} +{"index": 534, "question_id": "000970__leftmost_in_class_1", "image_path": "images_annotated/000970_000970__leftmost_in_class_1.jpg", "question": "Point to the leftmost car parked on the street.", "A": "100,707", "B": "115,693", "C": "64,708", "D": "128,699"} +{"index": 535, "question_id": "000970__largest_in_class_5", "image_path": "images_annotated/000970_000970__largest_in_class_5.jpg", "question": "Find the largest car driving in the middle lane.", "A": "170,710", "B": "212,716", "C": "150,713", "D": "128,699"} +{"index": 536, "question_id": "000970__rightmost_in_class_10", "image_path": "images_annotated/000970_000970__rightmost_in_class_10.jpg", "question": "Which car is positioned at the far right edge of the image?", "A": "977,666", "B": "410,706", "C": "383,731", "D": "354,713"} +{"index": 537, "question_id": "000975__closest_to_center_4", "image_path": "images_annotated/000975_000975__closest_to_center_4.jpg", "question": "Which car is closest to the center of the image?", "A": "380,735", "B": "354,714", "C": "211,716", "D": "409,707"} +{"index": 538, "question_id": "000975__quadrant_hint_0", "image_path": "images_annotated/000975_000975__quadrant_hint_0.jpg", "question": "Point to the car in the lower right quadrant.", "A": "409,707", "B": "380,735", "C": "354,714", "D": "978,667"} +{"index": 539, "question_id": "000975__leftmost_in_class_8", "image_path": "images_annotated/000975_000975__leftmost_in_class_8.jpg", "question": "Where is the car that is farthest to the left?", "A": "99,707", "B": "62,708", "C": "115,693", "D": "128,699"} +{"index": 540, "question_id": "000980__leftmost_in_class_3", "image_path": "images_annotated/000980_000980__leftmost_in_class_3.jpg", "question": "Point to the leftmost car in the row of parked cars on the left.", "A": "60,708", "B": "97,708", "C": "115,693", "D": "127,700"} +{"index": 541, "question_id": "000980__largest_in_class_8", "image_path": "images_annotated/000980_000980__largest_in_class_8.jpg", "question": "Find the largest car in the scene, which is in the middle of the road.", "A": "169,710", "B": "210,717", "C": "151,714", "D": "127,700"} +{"index": 542, "question_id": "000980__quadrant_hint_11", "image_path": "images_annotated/000980_000980__quadrant_hint_11.jpg", "question": "Which car is in the lower right quadrant of the image?", "A": "978,666", "B": "409,707", "C": "398,712", "D": "375,738"} +{"index": 543, "question_id": "000985__bottommost_in_class_8", "image_path": "images_annotated/000985_000985__bottommost_in_class_8.jpg", "question": "Tap the car that is lowest in the frame.", "A": "370,741", "B": "396,712", "C": "408,707", "D": "209,716"} +{"index": 544, "question_id": "000985__quadrant_hint_6", "image_path": "images_annotated/000985_000985__quadrant_hint_6.jpg", "question": "Point to the car on the far right side of the road.", "A": "408,707", "B": "979,665", "C": "396,712", "D": "370,741"} +{"index": 545, "question_id": "000985__leftmost_in_class_7", "image_path": "images_annotated/000985_000985__leftmost_in_class_7.jpg", "question": "Where is the car closest to the left edge of the road?", "A": "96,708", "B": "113,692", "C": "59,708", "D": "126,698"} +{"index": 546, "question_id": "000990__rightmost_in_class_9", "image_path": "images_annotated/000990_000990__rightmost_in_class_9.jpg", "question": "Which car is the rightmost one in the image?", "A": "408,707", "B": "980,664", "C": "395,712", "D": "364,744"} +{"index": 547, "question_id": "000990__bottommost_in_class_5", "image_path": "images_annotated/000990_000990__bottommost_in_class_5.jpg", "question": "Where is the car that is lowest in the frame?", "A": "364,744", "B": "395,712", "C": "408,707", "D": "209,716"} +{"index": 548, "question_id": "000990__leftmost_in_class_0", "image_path": "images_annotated/000990_000990__leftmost_in_class_0.jpg", "question": "Which car is the leftmost one in the image?", "A": "94,706", "B": "112,692", "C": "125,698", "D": "57,708"} +{"index": 549, "question_id": "000995__largest_in_class_6", "image_path": "images_annotated/000995_000995__largest_in_class_6.jpg", "question": "Find the largest car in the image.", "A": "357,748", "B": "394,711", "C": "408,707", "D": "207,715"} +{"index": 550, "question_id": "000995__quadrant_hint_7", "image_path": "images_annotated/000995_000995__quadrant_hint_7.jpg", "question": "Tap the car in the lower right quadrant of the image.", "A": "408,707", "B": "394,711", "C": "981,663", "D": "357,748"} +{"index": 551, "question_id": "000995__leftmost_in_class_0", "image_path": "images_annotated/000995_000995__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the image.", "A": "93,706", "B": "111,693", "C": "124,697", "D": "55,707"} +{"index": 552, "question_id": "001000__bottommost_in_class_7", "image_path": "images_annotated/001000_001000__bottommost_in_class_7.jpg", "question": "Point to the car that is lowest on the road.", "A": "379,714", "B": "393,711", "C": "348,754", "D": "407,706"} +{"index": 553, "question_id": "001000__rightmost_in_class_3", "image_path": "images_annotated/001000_001000__rightmost_in_class_3.jpg", "question": "Find the car that is furthest to the right in the image.", "A": "407,706", "B": "393,711", "C": "379,714", "D": "982,662"} +{"index": 554, "question_id": "001000__leftmost_in_class_6", "image_path": "images_annotated/001000_001000__leftmost_in_class_6.jpg", "question": "Where is the car closest to the left edge of the road?", "A": "53,708", "B": "91,707", "C": "109,694", "D": "122,698"} +{"index": 555, "question_id": "001005__largest_in_class_9", "image_path": "images_annotated/001005_001005__largest_in_class_9.jpg", "question": "Which car is the largest in the image?", "A": "375,716", "B": "393,711", "C": "338,758", "D": "407,706"} +{"index": 556, "question_id": "001005__rightmost_in_class_0", "image_path": "images_annotated/001005_001005__rightmost_in_class_0.jpg", "question": "Find the rightmost car in the scene.", "A": "983,662", "B": "407,706", "C": "393,711", "D": "375,716"} +{"index": 557, "question_id": "001005__leftmost_in_class_2", "image_path": "images_annotated/001005_001005__leftmost_in_class_2.jpg", "question": "Where is the leftmost car on the road?", "A": "89,706", "B": "50,708", "C": "108,693", "D": "121,697"} +{"index": 558, "question_id": "001010__bottommost_in_class_6", "image_path": "images_annotated/001010_001010__bottommost_in_class_6.jpg", "question": "Where is the car that is lowest in the image?", "A": "370,716", "B": "392,712", "C": "406,706", "D": "325,767"} +{"index": 559, "question_id": "001010__quadrant_hint_1", "image_path": "images_annotated/001010_001010__quadrant_hint_1.jpg", "question": "Point to the car on the far right of the road.", "A": "406,706", "B": "392,712", "C": "985,659", "D": "370,716"} +{"index": 560, "question_id": "001010__leftmost_in_class_9", "image_path": "images_annotated/001010_001010__leftmost_in_class_9.jpg", "question": "Point to the car on the far left of the road.", "A": "85,706", "B": "47,708", "C": "106,694", "D": "120,698"} +{"index": 561, "question_id": "001015__largest_in_class_7", "image_path": "images_annotated/001015_001015__largest_in_class_7.jpg", "question": "Find the largest car on the road.", "A": "309,776", "B": "366,716", "C": "391,711", "D": "406,706"} +{"index": 562, "question_id": "001015__rightmost_in_class_11", "image_path": "images_annotated/001015_001015__rightmost_in_class_11.jpg", "question": "Point to the rightmost car in the scene.", "A": "406,706", "B": "391,711", "C": "986,658", "D": "366,716"} +{"index": 563, "question_id": "001015__leftmost_in_class_4", "image_path": "images_annotated/001015_001015__leftmost_in_class_4.jpg", "question": "Point to the leftmost car in the image.", "A": "44,708", "B": "83,707", "C": "103,694", "D": "118,698"} +{"index": 564, "question_id": "001020__bottommost_in_class_11", "image_path": "images_annotated/001020_001020__bottommost_in_class_11.jpg", "question": "Point to the car that is lowest in the frame.", "A": "290,787", "B": "364,718", "C": "201,716", "D": "390,711"} +{"index": 565, "question_id": "001020__quadrant_hint_2", "image_path": "images_annotated/001020_001020__quadrant_hint_2.jpg", "question": "Point to the car on the far right side of the road.", "A": "405,707", "B": "988,658", "C": "390,711", "D": "364,718"} +{"index": 566, "question_id": "001020__leftmost_in_class_3", "image_path": "images_annotated/001020_001020__leftmost_in_class_3.jpg", "question": "Which car is the leftmost one in the row of parked vehicles?", "A": "81,708", "B": "102,695", "C": "117,697", "D": "41,709"} +{"index": 567, "question_id": "001025__largest_in_class_7", "image_path": "images_annotated/001025_001025__largest_in_class_7.jpg", "question": "Where is the largest car in the scene?", "A": "260,806", "B": "197,714", "C": "361,719", "D": "145,719"} +{"index": 568, "question_id": "001025__rightmost_in_class_6", "image_path": "images_annotated/001025_001025__rightmost_in_class_6.jpg", "question": "Which car is the furthest to the right on the road?", "A": "405,707", "B": "989,657", "C": "389,712", "D": "361,719"} +{"index": 569, "question_id": "001025__leftmost_in_class_0", "image_path": "images_annotated/001025_001025__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the intersection.", "A": "79,708", "B": "100,695", "C": "37,709", "D": "115,699"} +{"index": 570, "question_id": "001030__bottommost_in_class_2", "image_path": "images_annotated/001030_001030__bottommost_in_class_2.jpg", "question": "Find the car that is lowest on the road.", "A": "141,718", "B": "217,835", "C": "122,704", "D": "112,700"} +{"index": 571, "question_id": "001030__quadrant_hint_3", "image_path": "images_annotated/001030_001030__quadrant_hint_3.jpg", "question": "Where is the car on the far right side of the image?", "A": "404,709", "B": "388,713", "C": "357,721", "D": "990,656"} +{"index": 572, "question_id": "001030__leftmost_in_class_10", "image_path": "images_annotated/001030_001030__leftmost_in_class_10.jpg", "question": "Point to the car on the far left of the road.", "A": "33,710", "B": "76,710", "C": "97,698", "D": "112,700"} +{"index": 573, "question_id": "001035__largest_in_class_0", "image_path": "images_annotated/001035_001035__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "148,881", "B": "71,710", "C": "30,713", "D": "354,724"} +{"index": 574, "question_id": "001035__rightmost_in_class_6", "image_path": "images_annotated/001035_001035__rightmost_in_class_6.jpg", "question": "Which car is the furthest to the right?", "A": "404,710", "B": "991,656", "C": "387,715", "D": "354,724"} +{"index": 575, "question_id": "001035__leftmost_in_class_1", "image_path": "images_annotated/001035_001035__leftmost_in_class_1.jpg", "question": "Point to the car on the far left of the image.", "A": "30,713", "B": "71,710", "C": "148,881", "D": "354,724"} +{"index": 576, "question_id": "001040__leftmost_in_class_0", "image_path": "images_annotated/001040_001040__leftmost_in_class_0.jpg", "question": "Find the leftmost car in the image.", "A": "207,718", "B": "111,942", "C": "350,727", "D": "386,718"} +{"index": 577, "question_id": "001040__relation_right_of_unique_2", "image_path": "images_annotated/001040_001040__relation_right_of_unique_2.jpg", "question": "Find the car to the right of the person.", "A": "403,713", "B": "386,718", "C": "991,656", "D": "350,727"} +{"index": 578, "question_id": "001040__relation_nearest_to_unique_1", "image_path": "images_annotated/001040_001040__relation_nearest_to_unique_1.jpg", "question": "Point to the car nearest to the person.", "A": "386,718", "B": "350,727", "C": "207,718", "D": "403,713"} +{"index": 579, "question_id": "001045__rightmost_in_class_3", "image_path": "images_annotated/001045_001045__rightmost_in_class_3.jpg", "question": "Tap the rightmost car in the scene.", "A": "402,714", "B": "993,656", "C": "385,719", "D": "345,730"} +{"index": 580, "question_id": "001045__unique_class_8", "image_path": "images_annotated/001045_001045__unique_class_8.jpg", "question": "Where is the person in the scene?", "A": "402,714", "B": "385,719", "C": "345,730", "D": "579,710"} +{"index": 581, "question_id": "001045__relation_nearest_to_unique_2", "image_path": "images_annotated/001045_001045__relation_nearest_to_unique_2.jpg", "question": "Point to the car nearest to the person.", "A": "385,719", "B": "345,730", "C": "402,714", "D": "187,725"} +{"index": 582, "question_id": "001050__largest_in_class_2", "image_path": "images_annotated/001050_001050__largest_in_class_2.jpg", "question": "Point to the largest car in the scene.", "A": "129,731", "B": "183,727", "C": "108,710", "D": "99,708"} +{"index": 583, "question_id": "001050__leftmost_in_class_7", "image_path": "images_annotated/001050_001050__leftmost_in_class_7.jpg", "question": "Where is the leftmost car on the road?", "A": "56,719", "B": "77,702", "C": "21,719", "D": "85,705"} +{"index": 584, "question_id": "001050__rightmost_in_class_12", "image_path": "images_annotated/001050_001050__rightmost_in_class_12.jpg", "question": "Tap the car that is farthest to the right in the image.", "A": "402,716", "B": "994,655", "C": "384,720", "D": "364,716"} +{"index": 585, "question_id": "001055__largest_in_class_2", "image_path": "images_annotated/001055_001055__largest_in_class_2.jpg", "question": "Find the largest car in the scene.", "A": "125,732", "B": "104,710", "C": "179,726", "D": "96,708"} +{"index": 586, "question_id": "001055__leftmost_in_class_8", "image_path": "images_annotated/001055_001055__leftmost_in_class_8.jpg", "question": "Point to the leftmost car on the road.", "A": "50,718", "B": "81,705", "C": "96,708", "D": "19,719"} +{"index": 587, "question_id": "001060__largest_in_class_3", "image_path": "images_annotated/001060_001060__largest_in_class_3.jpg", "question": "Find the largest car in the scene.", "A": "120,733", "B": "92,709", "C": "78,703", "D": "175,726"} +{"index": 588, "question_id": "001060__leftmost_in_class_4", "image_path": "images_annotated/001060_001060__leftmost_in_class_4.jpg", "question": "Point to the leftmost car in the image.", "A": "15,721", "B": "44,719", "C": "62,706", "D": "78,703"} +{"index": 589, "question_id": "001065__largest_in_class_5", "image_path": "images_annotated/001065_001065__largest_in_class_5.jpg", "question": "Which car is the largest in the scene?", "A": "114,733", "B": "88,708", "C": "171,726", "D": "74,704"} +{"index": 590, "question_id": "001065__leftmost_in_class_10", "image_path": "images_annotated/001065_001065__leftmost_in_class_10.jpg", "question": "Point to the leftmost car in the image.", "A": "38,719", "B": "58,706", "C": "11,719", "D": "74,704"} +{"index": 591, "question_id": "001065__closest_to_center_11", "image_path": "images_annotated/001065_001065__closest_to_center_11.jpg", "question": "Find the car closest to the center of the image.", "A": "381,719", "B": "358,715", "C": "349,718", "D": "399,714"} +{"index": 592, "question_id": "001070__largest_in_class_10", "image_path": "images_annotated/001070_001070__largest_in_class_10.jpg", "question": "Find the largest car in the scene.", "A": "106,737", "B": "82,709", "C": "70,706", "D": "166,728"} +{"index": 593, "question_id": "001070__closest_left_edge_11", "image_path": "images_annotated/001070_001070__closest_left_edge_11.jpg", "question": "Where is the car closest to the left edge of the frame?", "A": "7,720", "B": "28,720", "C": "54,706", "D": "70,706"} +{"index": 594, "question_id": "001070__closest_to_center_0", "image_path": "images_annotated/001070_001070__closest_to_center_0.jpg", "question": "Point to the car closest to the center of the image.", "A": "397,714", "B": "379,719", "C": "357,715", "D": "345,719"} +{"index": 595, "question_id": "001075__leftmost_in_class_2", "image_path": "images_annotated/001075_001075__leftmost_in_class_2.jpg", "question": "Point to the leftmost car in the scene.", "A": "50,707", "B": "20,720", "C": "65,706", "D": "76,709"} +{"index": 596, "question_id": "001075__largest_in_class_5", "image_path": "images_annotated/001075_001075__largest_in_class_5.jpg", "question": "Find the largest car on the road.", "A": "162,729", "B": "98,738", "C": "76,709", "D": "65,706"} +{"index": 597, "question_id": "001075__closest_to_center_6", "image_path": "images_annotated/001075_001075__closest_to_center_6.jpg", "question": "Where is the car closest to the center of the image?", "A": "378,719", "B": "355,715", "C": "396,714", "D": "340,720"} +{"index": 598, "question_id": "001080__largest_in_class_9", "image_path": "images_annotated/001080_001080__largest_in_class_9.jpg", "question": "Tap the largest car in the scene.", "A": "339,719", "B": "354,714", "C": "376,719", "D": "280,749"} +{"index": 599, "question_id": "001080__closest_right_edge_0", "image_path": "images_annotated/001080_001080__closest_right_edge_0.jpg", "question": "Find the car closest to the right edge of the frame.", "A": "396,713", "B": "376,719", "C": "354,714", "D": "417,703"} +{"index": 600, "question_id": "001080__leftmost_in_class_1", "image_path": "images_annotated/001080_001080__leftmost_in_class_1.jpg", "question": "Where is the leftmost car in the image?", "A": "43,708", "B": "16,721", "C": "61,706", "D": "90,740"} +{"index": 601, "question_id": "001085__leftmost_in_class_10", "image_path": "images_annotated/001085_001085__leftmost_in_class_10.jpg", "question": "Tap the leftmost car in the scene.", "A": "12,719", "B": "38,707", "C": "55,703", "D": "79,741"} +{"index": 602, "question_id": "001085__largest_in_class_6", "image_path": "images_annotated/001085_001085__largest_in_class_6.jpg", "question": "Which car is the largest in the image?", "A": "336,719", "B": "353,713", "C": "374,719", "D": "262,753"} +{"index": 603, "question_id": "001085__quadrant_hint_3", "image_path": "images_annotated/001085_001085__quadrant_hint_3.jpg", "question": "Find the person on the far right side of the image.", "A": "595,702", "B": "416,703", "C": "395,712", "D": "374,719"} +{"index": 604, "question_id": "001090__largest_in_class_5", "image_path": "images_annotated/001090_001090__largest_in_class_5.jpg", "question": "Find the largest car in the image.", "A": "334,719", "B": "239,760", "C": "142,728", "D": "351,713"} +{"index": 605, "question_id": "001090__closest_left_edge_2", "image_path": "images_annotated/001090_001090__closest_left_edge_2.jpg", "question": "Which car is closest to the left edge of the image?", "A": "8,720", "B": "32,708", "C": "66,744", "D": "94,713"} +{"index": 606, "question_id": "001090__quadrant_hint_0", "image_path": "images_annotated/001090_001090__quadrant_hint_0.jpg", "question": "Where is the person located in the lower right quadrant?", "A": "555,647", "B": "597,702", "C": "415,702", "D": "393,712"} +{"index": 607, "question_id": "001095__bottommost_in_class_0", "image_path": "images_annotated/001095_001095__bottommost_in_class_0.jpg", "question": "Find the car that is lowest on the road.", "A": "134,731", "B": "332,720", "C": "84,721", "D": "209,774"} +{"index": 608, "question_id": "001095__quadrant_hint_5", "image_path": "images_annotated/001095_001095__quadrant_hint_5.jpg", "question": "Find the person on the right side of the image.", "A": "556,646", "B": "414,704", "C": "600,703", "D": "392,713"} +{"index": 609, "question_id": "001100__relation_nearest_to_unique_3", "image_path": "images_annotated/001100_001100__relation_nearest_to_unique_3.jpg", "question": "Where is the road sign nearest to the person?", "A": "558,646", "B": "412,705", "C": "603,704", "D": "391,715"} +{"index": 610, "question_id": "001100__quadrant_hint_2", "image_path": "images_annotated/001100_001100__quadrant_hint_2.jpg", "question": "Where is the road sign located in the lower right quadrant?", "A": "558,646", "B": "603,704", "C": "412,705", "D": "391,715"} +{"index": 611, "question_id": "001105__largest_in_class_7", "image_path": "images_annotated/001105_001105__largest_in_class_7.jpg", "question": "Find the largest car on the road.", "A": "19,750", "B": "327,722", "C": "344,715", "D": "111,804"} +{"index": 612, "question_id": "001105__leftmost_in_class_0", "image_path": "images_annotated/001105_001105__leftmost_in_class_0.jpg", "question": "Point to the leftmost car on the road.", "A": "111,804", "B": "327,722", "C": "19,750", "D": "344,715"} +{"index": 613, "question_id": "001105__quadrant_hint_1", "image_path": "images_annotated/001105_001105__quadrant_hint_1.jpg", "question": "Point to the person on the right side of the image.", "A": "606,702", "B": "560,644", "C": "411,704", "D": "389,715"} +{"index": 614, "question_id": "001110__quadrant_hint_1", "image_path": "images_annotated/001110_001110__quadrant_hint_1.jpg", "question": "Where is the person located in the lower right section of the image?", "A": "562,642", "B": "609,702", "C": "409,705", "D": "387,715"} +{"index": 615, "question_id": "001110__unique_class_0", "image_path": "images_annotated/001110_001110__unique_class_0.jpg", "question": "Point to the road sign on the right side of the road.", "A": "609,702", "B": "409,705", "C": "562,642", "D": "387,715"} +{"index": 616, "question_id": "001115__leftmost_in_class_0", "image_path": "images_annotated/001115_001115__leftmost_in_class_0.jpg", "question": "Find the leftmost car in the image.", "A": "37,834", "B": "106,739", "C": "321,725", "D": "339,716"} +{"index": 617, "question_id": "001115__unique_class_7", "image_path": "images_annotated/001115_001115__unique_class_7.jpg", "question": "Where is the person standing on the right side of the road?", "A": "565,644", "B": "613,706", "C": "408,707", "D": "384,719"} +{"index": 618, "question_id": "001120__unique_class_0", "image_path": "images_annotated/001120_001120__unique_class_0.jpg", "question": "Point to the road sign on the right side of the road.", "A": "616,704", "B": "406,710", "C": "382,721", "D": "568,644"} +{"index": 619, "question_id": "001120__relation_nearest_to_unique_1", "image_path": "images_annotated/001120_001120__relation_nearest_to_unique_1.jpg", "question": "Point to the road sign nearest to the person.", "A": "568,644", "B": "611,659", "C": "406,710", "D": "382,721"} +{"index": 620, "question_id": "001125__largest_in_class_3", "image_path": "images_annotated/001125_001125__largest_in_class_3.jpg", "question": "Point to the largest car on the road.", "A": "78,744", "B": "23,731", "C": "314,731", "D": "347,734"} +{"index": 621, "question_id": "001125__leftmost_in_class_2", "image_path": "images_annotated/001125_001125__leftmost_in_class_2.jpg", "question": "Where is the leftmost car in the scene?", "A": "78,744", "B": "23,731", "C": "314,731", "D": "347,734"} +{"index": 622, "question_id": "001125__smallest_in_class_0", "image_path": "images_annotated/001125_001125__smallest_in_class_0.jpg", "question": "Find the smallest car in the image.", "A": "380,724", "B": "347,734", "C": "404,712", "D": "314,731"} +{"index": 623, "question_id": "001130__largest_in_class_4", "image_path": "images_annotated/001130_001130__largest_in_class_4.jpg", "question": "Find the largest car in the image.", "A": "13,731", "B": "308,733", "C": "63,746", "D": "341,737"} +{"index": 624, "question_id": "001130__relation_nearest_to_unique_5", "image_path": "images_annotated/001130_001130__relation_nearest_to_unique_5.jpg", "question": "Which car is closest to the road sign?", "A": "377,726", "B": "402,713", "C": "341,737", "D": "308,733"} +{"index": 625, "question_id": "001130__leftmost_in_class_6", "image_path": "images_annotated/001130_001130__leftmost_in_class_6.jpg", "question": "Tap the car that is farthest to the left.", "A": "13,731", "B": "63,746", "C": "308,733", "D": "341,737"} +{"index": 626, "question_id": "001135__leftmost_in_class_1", "image_path": "images_annotated/001135_001135__leftmost_in_class_1.jpg", "question": "Which car is the leftmost in the scene?", "A": "302,734", "B": "333,741", "C": "374,727", "D": "50,746"} +{"index": 627, "question_id": "001135__relation_nearest_to_unique_5", "image_path": "images_annotated/001135_001135__relation_nearest_to_unique_5.jpg", "question": "Find the car nearest to the road sign.", "A": "374,727", "B": "333,741", "C": "399,715", "D": "302,734"} +{"index": 628, "question_id": "001135__quadrant_hint_0", "image_path": "images_annotated/001135_001135__quadrant_hint_0.jpg", "question": "Where is the road sign in the lower right quadrant?", "A": "629,713", "B": "399,715", "C": "374,727", "D": "577,644"} +{"index": 629, "question_id": "001140__quadrant_hint_2", "image_path": "images_annotated/001140_001140__quadrant_hint_2.jpg", "question": "Find the person on the right side of the road.", "A": "634,714", "B": "580,643", "C": "396,717", "D": "370,729"} +{"index": 630, "question_id": "001140__relation_nearest_to_unique_3", "image_path": "images_annotated/001140_001140__relation_nearest_to_unique_3.jpg", "question": "Where is the person nearest to the road sign?", "A": "634,714", "B": "587,657", "C": "396,717", "D": "370,729"} +{"index": 631, "question_id": "001145__quadrant_hint_3", "image_path": "images_annotated/001145_001145__quadrant_hint_3.jpg", "question": "Find the car in the lower right corner of the image.", "A": "394,717", "B": "368,730", "C": "344,723", "D": "867,662"} +{"index": 632, "question_id": "001145__unique_class_5", "image_path": "images_annotated/001145_001145__unique_class_5.jpg", "question": "Where is the person standing on the sidewalk?", "A": "642,715", "B": "584,641", "C": "867,662", "D": "394,717"} +{"index": 633, "question_id": "001145__relation_nearest_to_unique_0", "image_path": "images_annotated/001145_001145__relation_nearest_to_unique_0.jpg", "question": "Which car is nearest to the white van on the left?", "A": "368,730", "B": "344,723", "C": "315,747", "D": "394,717"} +{"index": 634, "question_id": "001150__largest_in_class_1", "image_path": "images_annotated/001150_001150__largest_in_class_1.jpg", "question": "Which car is the largest?", "A": "25,750", "B": "303,748", "C": "337,724", "D": "364,730"} +{"index": 635, "question_id": "001150__quadrant_hint_0", "image_path": "images_annotated/001150_001150__quadrant_hint_0.jpg", "question": "Find the car in the lower right corner.", "A": "390,717", "B": "364,730", "C": "337,724", "D": "870,662"} +{"index": 636, "question_id": "001150__unique_class_2", "image_path": "images_annotated/001150_001150__unique_class_2.jpg", "question": "Point to the road sign.", "A": "589,637", "B": "648,715", "C": "390,717", "D": "364,730"} +{"index": 637, "question_id": "001155__smallest_in_class_2", "image_path": "images_annotated/001155_001155__smallest_in_class_2.jpg", "question": "Which car is the smallest in the image?", "A": "873,661", "B": "388,718", "C": "360,731", "D": "332,725"} +{"index": 638, "question_id": "001155__unique_class_0", "image_path": "images_annotated/001155_001155__unique_class_0.jpg", "question": "Point to the road sign on the pole.", "A": "655,714", "B": "388,718", "C": "593,634", "D": "360,731"} +{"index": 639, "question_id": "001160__smallest_in_class_2", "image_path": "images_annotated/001160_001160__smallest_in_class_2.jpg", "question": "Which car is the smallest in the image?", "A": "384,718", "B": "357,732", "C": "877,660", "D": "329,726"} +{"index": 640, "question_id": "001160__relation_nearest_to_unique_1", "image_path": "images_annotated/001160_001160__relation_nearest_to_unique_1.jpg", "question": "Which car is closest to the person?", "A": "599,631", "B": "665,715", "C": "877,660", "D": "384,718"} +{"index": 641, "question_id": "001165__largest_in_class_3", "image_path": "images_annotated/001165_001165__largest_in_class_3.jpg", "question": "Which car is the largest in the scene?", "A": "304,731", "B": "324,724", "C": "253,762", "D": "353,731"} +{"index": 642, "question_id": "001165__relation_nearest_to_unique_5", "image_path": "images_annotated/001165_001165__relation_nearest_to_unique_5.jpg", "question": "Which car is nearest to the person?", "A": "382,717", "B": "353,731", "C": "880,656", "D": "324,724"} +{"index": 643, "question_id": "001165__relation_nearest_to_unique_4", "image_path": "images_annotated/001165_001165__relation_nearest_to_unique_4.jpg", "question": "Which person is closest to the road sign?", "A": "673,715", "B": "382,717", "C": "353,731", "D": "615,643"} +{"index": 644, "question_id": "001170__smallest_in_class_2", "image_path": "images_annotated/001170_001170__smallest_in_class_2.jpg", "question": "Which car is the smallest in the image?", "A": "379,716", "B": "348,730", "C": "321,723", "D": "884,654"} +{"index": 645, "question_id": "001170__unique_class_1", "image_path": "images_annotated/001170_001170__unique_class_1.jpg", "question": "Point to the road sign on the right side of the road.", "A": "615,619", "B": "685,711", "C": "379,716", "D": "884,654"} +{"index": 646, "question_id": "001175__largest_in_class_3", "image_path": "images_annotated/001175_001175__largest_in_class_3.jpg", "question": "Find the largest car on the road.", "A": "193,775", "B": "265,736", "C": "292,728", "D": "316,722"} +{"index": 647, "question_id": "001175__quadrant_hint_6", "image_path": "images_annotated/001175_001175__quadrant_hint_6.jpg", "question": "Tap the person standing on the grassy area.", "A": "623,613", "B": "889,652", "C": "376,715", "D": "697,708"} +{"index": 648, "question_id": "001180__quadrant_hint_0", "image_path": "images_annotated/001180_001180__quadrant_hint_0.jpg", "question": "Point to the car on the far right side of the road.", "A": "373,716", "B": "892,649", "C": "340,732", "D": "311,723"} +{"index": 649, "question_id": "001180__unique_class_1", "image_path": "images_annotated/001180_001180__unique_class_1.jpg", "question": "Where is the road sign located?", "A": "711,710", "B": "892,649", "C": "373,716", "D": "635,607"} +{"index": 650, "question_id": "001185__leftmost_in_class_1", "image_path": "images_annotated/001185_001185__leftmost_in_class_1.jpg", "question": "Find the leftmost car in the image.", "A": "241,743", "B": "89,813", "C": "281,731", "D": "306,726"} +{"index": 651, "question_id": "001185__rightmost_in_class_3", "image_path": "images_annotated/001185_001185__rightmost_in_class_3.jpg", "question": "Point to the rightmost car in the scene.", "A": "898,649", "B": "401,706", "C": "370,717", "D": "334,735"} +{"index": 652, "question_id": "001185__smallest_in_class_4", "image_path": "images_annotated/001185_001185__smallest_in_class_4.jpg", "question": "Find the smallest car on the road.", "A": "370,717", "B": "334,735", "C": "306,726", "D": "401,706"} +{"index": 653, "question_id": "001190__pair_size_4", "image_path": "images_annotated/001190_001190__pair_size_4.jpg", "question": "Which of the two road signs is larger?", "A": "661,592", "B": "658,548", "C": "745,707", "D": "903,645"} +{"index": 654, "question_id": "001190__smallest_in_class_3", "image_path": "images_annotated/001190_001190__smallest_in_class_3.jpg", "question": "Which car is the smallest one in the image?", "A": "366,716", "B": "399,704", "C": "328,734", "D": "301,724"} +{"index": 655, "question_id": "001190__unique_class_5", "image_path": "images_annotated/001190_001190__unique_class_5.jpg", "question": "Where is the only person in the scene?", "A": "745,707", "B": "661,592", "C": "658,548", "D": "903,645"} +{"index": 656, "question_id": "001195__leftmost_in_class_4", "image_path": "images_annotated/001195_001195__leftmost_in_class_4.jpg", "question": "Which car is the leftmost in the image?", "A": "221,744", "B": "268,731", "C": "294,725", "D": "320,738"} +{"index": 657, "question_id": "001195__relation_nearest_to_unique_1", "image_path": "images_annotated/001195_001195__relation_nearest_to_unique_1.jpg", "question": "Find the road sign that is nearest to the person.", "A": "674,537", "B": "767,708", "C": "678,583", "D": "908,645"} +{"index": 658, "question_id": "001200__leftmost_in_class_1", "image_path": "images_annotated/001200_001200__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "260,737", "B": "285,730", "C": "312,744", "D": "208,751"} +{"index": 659, "question_id": "001200__pair_size_6", "image_path": "images_annotated/001200_001200__pair_size_6.jpg", "question": "Which of the two road signs is larger?", "A": "694,528", "B": "791,715", "C": "697,578", "D": "914,648"} +{"index": 660, "question_id": "001200__relation_nearest_to_unique_8", "image_path": "images_annotated/001200_001200__relation_nearest_to_unique_8.jpg", "question": "Which car is nearest to the person?", "A": "914,648", "B": "395,709", "C": "378,706", "D": "358,722"} +{"index": 661, "question_id": "001205__pair_size_2", "image_path": "images_annotated/001205_001205__pair_size_2.jpg", "question": "Which of the two road signs is the larger one?", "A": "716,512", "B": "720,569", "C": "817,719", "D": "920,647"} +{"index": 662, "question_id": "001205__smallest_in_class_8", "image_path": "images_annotated/001205_001205__smallest_in_class_8.jpg", "question": "Find the smallest road sign in the image.", "A": "720,569", "B": "817,719", "C": "716,512", "D": "920,647"} +{"index": 663, "question_id": "001210__rightmost_in_class_0", "image_path": "images_annotated/001210_001210__rightmost_in_class_0.jpg", "question": "Point to the rightmost car in the scene.", "A": "391,711", "B": "925,648", "C": "376,709", "D": "348,726"} +{"index": 664, "question_id": "001210__pair_size_2", "image_path": "images_annotated/001210_001210__pair_size_2.jpg", "question": "Find the larger of the two road signs.", "A": "743,495", "B": "850,717", "C": "925,648", "D": "748,556"} +{"index": 665, "question_id": "001215__quadrant_hint_2", "image_path": "images_annotated/001215_001215__quadrant_hint_2.jpg", "question": "Find the car on the far right side of the road.", "A": "389,711", "B": "374,709", "C": "931,647", "D": "342,728"} +{"index": 666, "question_id": "001215__relation_nearest_to_unique_0", "image_path": "images_annotated/001215_001215__relation_nearest_to_unique_0.jpg", "question": "Which sign is closest to the person on the sidewalk?", "A": "781,540", "B": "775,473", "C": "889,718", "D": "931,647"} +{"index": 667, "question_id": "001220__rightmost_in_class_2", "image_path": "images_annotated/001220_001220__rightmost_in_class_2.jpg", "question": "Which car is the rightmost one in the scene?", "A": "386,710", "B": "941,644", "C": "372,706", "D": "335,728"} +{"index": 668, "question_id": "001220__relation_nearest_to_unique_6", "image_path": "images_annotated/001220_001220__relation_nearest_to_unique_6.jpg", "question": "Which road sign is closest to the person?", "A": "821,519", "B": "814,444", "C": "941,644", "D": "931,717"} +{"index": 669, "question_id": "001220__unique_class_5", "image_path": "images_annotated/001220_001220__unique_class_5.jpg", "question": "Point to the person walking on the sidewalk.", "A": "941,644", "B": "931,717", "C": "821,519", "D": "814,444"} +{"index": 670, "question_id": "001225__largest_in_class_2", "image_path": "images_annotated/001225_001225__largest_in_class_2.jpg", "question": "Find the largest car on the road.", "A": "195,744", "B": "236,768", "C": "294,723", "D": "328,730"} +{"index": 671, "question_id": "001225__leftmost_in_class_1", "image_path": "images_annotated/001225_001225__leftmost_in_class_1.jpg", "question": "Which car is the leftmost one in the image?", "A": "195,744", "B": "236,768", "C": "127,762", "D": "294,723"} +{"index": 672, "question_id": "001225__quadrant_hint_3", "image_path": "images_annotated/001225_001225__quadrant_hint_3.jpg", "question": "Where is the heavy truck located in the lower right quadrant?", "A": "383,710", "B": "371,706", "C": "353,712", "D": "546,679"} +{"index": 673, "question_id": "001230__largest_in_class_4", "image_path": "images_annotated/001230_001230__largest_in_class_4.jpg", "question": "Find the largest car in the image.", "A": "211,780", "B": "267,732", "C": "286,726", "D": "102,769"} +{"index": 674, "question_id": "001230__relation_nearest_to_unique_3", "image_path": "images_annotated/001230_001230__relation_nearest_to_unique_3.jpg", "question": "Which car is nearest to the heavy truck?", "A": "371,709", "B": "381,714", "C": "349,715", "D": "319,734"} +{"index": 675, "question_id": "001230__leftmost_in_class_7", "image_path": "images_annotated/001230_001230__leftmost_in_class_7.jpg", "question": "Point to the leftmost car on the road.", "A": "211,780", "B": "267,732", "C": "286,726", "D": "102,769"} +{"index": 676, "question_id": "001235__leftmost_in_class_7", "image_path": "images_annotated/001235_001235__leftmost_in_class_7.jpg", "question": "Where is the leftmost car in the scene?", "A": "178,784", "B": "69,768", "C": "254,733", "D": "278,724"} +{"index": 677, "question_id": "001235__largest_in_class_6", "image_path": "images_annotated/001235_001235__largest_in_class_6.jpg", "question": "Find the largest car on the road.", "A": "254,733", "B": "278,724", "C": "178,784", "D": "69,768"} +{"index": 678, "question_id": "001235__smallest_in_class_0", "image_path": "images_annotated/001235_001235__smallest_in_class_0.jpg", "question": "Which car is the smallest one on the road?", "A": "378,710", "B": "345,712", "C": "309,733", "D": "370,705"} +{"index": 679, "question_id": "001240__leftmost_in_class_0", "image_path": "images_annotated/001240_001240__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the scene.", "A": "136,794", "B": "236,732", "C": "298,736", "D": "44,770"} +{"index": 680, "question_id": "001240__largest_in_class_1", "image_path": "images_annotated/001240_001240__largest_in_class_1.jpg", "question": "Find the largest car in the image.", "A": "136,794", "B": "44,770", "C": "236,732", "D": "298,736"} +{"index": 681, "question_id": "001240__smallest_in_class_2", "image_path": "images_annotated/001240_001240__smallest_in_class_2.jpg", "question": "Point to the smallest car in the image.", "A": "345,710", "B": "298,736", "C": "332,711", "D": "376,709"} +{"index": 682, "question_id": "001245__smallest_in_class_0", "image_path": "images_annotated/001245_001245__smallest_in_class_0.jpg", "question": "Which car is the smallest one in the scene?", "A": "974,641", "B": "373,708", "C": "855,659", "D": "344,708"} +{"index": 683, "question_id": "001245__relation_nearest_to_unique_4", "image_path": "images_annotated/001245_001245__relation_nearest_to_unique_4.jpg", "question": "Find the car nearest to the heavy truck.", "A": "344,708", "B": "373,708", "C": "328,712", "D": "286,739"} +{"index": 684, "question_id": "001245__largest_in_class_7", "image_path": "images_annotated/001245_001245__largest_in_class_7.jpg", "question": "Which car is the largest one in the scene?", "A": "91,816", "B": "184,740", "C": "223,731", "D": "286,739"} +{"index": 685, "question_id": "001250__leftmost_in_class_0", "image_path": "images_annotated/001250_001250__leftmost_in_class_0.jpg", "question": "Find the car that is farthest to the left.", "A": "152,749", "B": "67,830", "C": "209,735", "D": "270,744"} +{"index": 686, "question_id": "001250__relation_nearest_to_unique_3", "image_path": "images_annotated/001250_001250__relation_nearest_to_unique_3.jpg", "question": "Where is the car closest to the heavy truck?", "A": "343,709", "B": "370,710", "C": "322,713", "D": "270,744"} +{"index": 687, "question_id": "001250__quadrant_hint_7", "image_path": "images_annotated/001250_001250__quadrant_hint_7.jpg", "question": "Find the vehicle in the lower right corner of the image.", "A": "557,674", "B": "370,710", "C": "343,709", "D": "322,713"} +{"index": 688, "question_id": "001255__largest_in_class_2", "image_path": "images_annotated/001255_001255__largest_in_class_2.jpg", "question": "Which car on the left is the largest?", "A": "111,756", "B": "193,740", "C": "251,750", "D": "32,831"} +{"index": 689, "question_id": "001255__relation_nearest_to_unique_7", "image_path": "images_annotated/001255_001255__relation_nearest_to_unique_7.jpg", "question": "Which car is nearest to the heavy truck?", "A": "343,711", "B": "368,713", "C": "316,717", "D": "251,750"} +{"index": 690, "question_id": "001255__rightmost_in_class_8", "image_path": "images_annotated/001255_001255__rightmost_in_class_8.jpg", "question": "Tap the rightmost car in the image.", "A": "871,657", "B": "368,713", "C": "343,711", "D": "991,639"} +{"index": 691, "question_id": "001260__leftmost_in_class_4", "image_path": "images_annotated/001260_001260__leftmost_in_class_4.jpg", "question": "Point to the leftmost car on the road.", "A": "171,744", "B": "227,764", "C": "80,759", "D": "312,719"} +{"index": 692, "question_id": "001260__smallest_in_class_5", "image_path": "images_annotated/001260_001260__smallest_in_class_5.jpg", "question": "Which car is the smallest in the scene?", "A": "365,717", "B": "341,713", "C": "312,719", "D": "878,659"} +{"index": 693, "question_id": "001260__unique_class_6", "image_path": "images_annotated/001260_001260__unique_class_6.jpg", "question": "Point to the heavy truck.", "A": "365,717", "B": "565,677", "C": "341,713", "D": "312,719"} +{"index": 694, "question_id": "001265__leftmost_in_class_2", "image_path": "images_annotated/001265_001265__leftmost_in_class_2.jpg", "question": "Point to the leftmost car on the road.", "A": "138,749", "B": "58,770", "C": "194,776", "D": "265,730"} +{"index": 695, "question_id": "001265__rightmost_in_class_3", "image_path": "images_annotated/001265_001265__rightmost_in_class_3.jpg", "question": "Which car is the rightmost one on the road?", "A": "888,659", "B": "379,706", "C": "361,720", "D": "339,717"} +{"index": 696, "question_id": "001265__largest_in_class_0", "image_path": "images_annotated/001265_001265__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "138,749", "B": "265,730", "C": "194,776", "D": "310,722"} +{"index": 697, "question_id": "001270__leftmost_in_class_6", "image_path": "images_annotated/001270_001270__leftmost_in_class_6.jpg", "question": "Point to the car that is farthest to the left in the image.", "A": "150,792", "B": "42,776", "C": "248,736", "D": "307,724"} +{"index": 698, "question_id": "001270__closest_top_edge_3", "image_path": "images_annotated/001270_001270__closest_top_edge_3.jpg", "question": "Find the road sign that is higher up on the pole.", "A": "138,598", "B": "136,622", "C": "150,792", "D": "248,736"} +{"index": 699, "question_id": "001270__unique_class_8", "image_path": "images_annotated/001270_001270__unique_class_8.jpg", "question": "Tap the heavy truck on the far right side of the road.", "A": "377,706", "B": "355,723", "C": "570,678", "D": "336,719"} +{"index": 700, "question_id": "001275__largest_in_class_8", "image_path": "images_annotated/001275_001275__largest_in_class_8.jpg", "question": "Tap the largest car on the left side of the road.", "A": "226,739", "B": "303,724", "C": "98,815", "D": "330,714"} +{"index": 701, "question_id": "001275__unique_class_1", "image_path": "images_annotated/001275_001275__unique_class_1.jpg", "question": "Point to the heavy truck on the far right.", "A": "376,706", "B": "348,725", "C": "330,714", "D": "573,676"} +{"index": 702, "question_id": "001275__bottommost_in_class_5", "image_path": "images_annotated/001275_001275__bottommost_in_class_5.jpg", "question": "Where is the bottommost road sign?", "A": "117,616", "B": "118,591", "C": "98,815", "D": "226,739"} +{"index": 703, "question_id": "001280__relation_nearest_to_unique_5", "image_path": "images_annotated/001280_001280__relation_nearest_to_unique_5.jpg", "question": "Find the car nearest to the road sign.", "A": "212,742", "B": "296,728", "C": "340,731", "D": "72,831"} +{"index": 704, "question_id": "001280__rightmost_in_class_3", "image_path": "images_annotated/001280_001280__rightmost_in_class_3.jpg", "question": "Point to the rightmost car in the image.", "A": "910,656", "B": "412,699", "C": "993,645", "D": "374,709"} +{"index": 705, "question_id": "001280__relation_nearest_to_unique_2", "image_path": "images_annotated/001280_001280__relation_nearest_to_unique_2.jpg", "question": "Which car is nearest to the heavy truck?", "A": "412,699", "B": "374,709", "C": "340,731", "D": "296,728"} +{"index": 706, "question_id": "001285__largest_in_class_1", "image_path": "images_annotated/001285_001285__largest_in_class_1.jpg", "question": "Point to the largest car on the left side of the road.", "A": "34,834", "B": "94,763", "C": "196,749", "D": "289,731"} +{"index": 707, "question_id": "001285__smallest_in_class_4", "image_path": "images_annotated/001285_001285__smallest_in_class_4.jpg", "question": "Find the smallest car in the image.", "A": "373,711", "B": "445,703", "C": "329,736", "D": "289,731"} +{"index": 708, "question_id": "001285__rightmost_in_class_3", "image_path": "images_annotated/001285_001285__rightmost_in_class_3.jpg", "question": "Where is the car that is farthest to the right in the image?", "A": "968,649", "B": "918,656", "C": "445,703", "D": "373,711"} +{"index": 709, "question_id": "001290__bottommost_in_class_0", "image_path": "images_annotated/001290_001290__bottommost_in_class_0.jpg", "question": "Which road sign is the lowest on the road?", "A": "35,598", "B": "38,568", "C": "52,780", "D": "179,755"} +{"index": 710, "question_id": "001290__smallest_in_class_1", "image_path": "images_annotated/001290_001290__smallest_in_class_1.jpg", "question": "Which road sign is the smallest in the image?", "A": "35,598", "B": "52,780", "C": "38,568", "D": "179,755"} +{"index": 711, "question_id": "001295__rightmost_in_class_3", "image_path": "images_annotated/001295_001295__rightmost_in_class_3.jpg", "question": "Tap the rightmost car in the image.", "A": "985,648", "B": "444,707", "C": "413,703", "D": "392,709"} +{"index": 712, "question_id": "001295__unique_class_0", "image_path": "images_annotated/001295_001295__unique_class_0.jpg", "question": "Which point marks the heavy truck on the far right?", "A": "444,707", "B": "413,703", "C": "392,709", "D": "581,681"} +{"index": 713, "question_id": "001295__relation_nearest_to_unique_1", "image_path": "images_annotated/001295_001295__relation_nearest_to_unique_1.jpg", "question": "Find the car nearest to the heavy truck.", "A": "413,703", "B": "392,709", "C": "444,707", "D": "370,715"} +{"index": 714, "question_id": "001300__leftmost_in_class_1", "image_path": "images_annotated/001300_001300__leftmost_in_class_1.jpg", "question": "Point to the leftmost car on the road.", "A": "279,758", "B": "323,729", "C": "368,718", "D": "135,766"} +{"index": 715, "question_id": "001300__rightmost_in_class_5", "image_path": "images_annotated/001300_001300__rightmost_in_class_5.jpg", "question": "Point to the rightmost car on the road.", "A": "443,710", "B": "940,655", "C": "412,705", "D": "391,711"} +{"index": 716, "question_id": "001300__relation_nearest_to_unique_3", "image_path": "images_annotated/001300_001300__relation_nearest_to_unique_3.jpg", "question": "Find the car that is nearest to the heavy truck.", "A": "412,705", "B": "391,711", "C": "368,718", "D": "443,710"} +{"index": 717, "question_id": "001305__leftmost_in_class_0", "image_path": "images_annotated/001305_001305__leftmost_in_class_0.jpg", "question": "Find the leftmost car parked on the street.", "A": "251,769", "B": "107,771", "C": "314,731", "D": "366,719"} +{"index": 718, "question_id": "001305__relation_right_of_unique_5", "image_path": "images_annotated/001305_001305__relation_right_of_unique_5.jpg", "question": "Where is the car to the right of the blue car?", "A": "442,713", "B": "412,706", "C": "948,654", "D": "390,714"} +{"index": 719, "question_id": "001305__relation_nearest_to_unique_3", "image_path": "images_annotated/001305_001305__relation_nearest_to_unique_3.jpg", "question": "Which car is closest to the heavy truck?", "A": "442,713", "B": "412,706", "C": "390,714", "D": "366,719"} +{"index": 720, "question_id": "001310__relation_nearest_to_unique_2", "image_path": "images_annotated/001310_001310__relation_nearest_to_unique_2.jpg", "question": "Which car is nearest to the blue car on the left?", "A": "439,716", "B": "410,707", "C": "362,721", "D": "329,717"} +{"index": 721, "question_id": "001310__unique_class_3", "image_path": "images_annotated/001310_001310__unique_class_3.jpg", "question": "Find the heavy truck in the image.", "A": "439,716", "B": "584,684", "C": "410,707", "D": "362,721"} +{"index": 722, "question_id": "001310__smallest_in_class_4", "image_path": "images_annotated/001310_001310__smallest_in_class_4.jpg", "question": "Which car is the smallest in the image?", "A": "439,716", "B": "362,721", "C": "410,707", "D": "329,717"} +{"index": 723, "question_id": "001315__relation_nearest_to_unique_7", "image_path": "images_annotated/001315_001315__relation_nearest_to_unique_7.jpg", "question": "Where is the car that is closest to the heavy truck?", "A": "408,708", "B": "384,714", "C": "434,719", "D": "358,724"} +{"index": 724, "question_id": "001315__leftmost_in_class_2", "image_path": "images_annotated/001315_001315__leftmost_in_class_2.jpg", "question": "Point to the blue car on the far left.", "A": "48,790", "B": "161,806", "C": "246,752", "D": "293,743"} +{"index": 725, "question_id": "001315__unique_class_8", "image_path": "images_annotated/001315_001315__unique_class_8.jpg", "question": "Point to the heavy truck on the right side of the road.", "A": "434,719", "B": "408,708", "C": "584,684", "D": "384,714"} +{"index": 726, "question_id": "001320__largest_in_class_7", "image_path": "images_annotated/001320_001320__largest_in_class_7.jpg", "question": "Point to the largest car in the image.", "A": "95,828", "B": "218,755", "C": "283,742", "D": "316,717"} +{"index": 727, "question_id": "001320__relation_nearest_to_unique_11", "image_path": "images_annotated/001320_001320__relation_nearest_to_unique_11.jpg", "question": "Which car is nearest to the heavy truck?", "A": "405,706", "B": "380,714", "C": "352,722", "D": "430,719"} +{"index": 728, "question_id": "001320__quadrant_hint_2", "image_path": "images_annotated/001320_001320__quadrant_hint_2.jpg", "question": "Which object is in the lower right quadrant of the image?", "A": "584,681", "B": "430,719", "C": "405,706", "D": "380,714"} +{"index": 729, "question_id": "001325__leftmost_in_class_9", "image_path": "images_annotated/001325_001325__leftmost_in_class_9.jpg", "question": "Find the leftmost car in the scene.", "A": "192,760", "B": "59,835", "C": "271,742", "D": "307,716"} +{"index": 730, "question_id": "001325__relation_nearest_to_unique_8", "image_path": "images_annotated/001325_001325__relation_nearest_to_unique_8.jpg", "question": "Which car is closest to the heavy truck?", "A": "401,706", "B": "376,713", "C": "346,722", "D": "423,720"} +{"index": 731, "question_id": "001325__closest_right_edge_0", "image_path": "images_annotated/001325_001325__closest_right_edge_0.jpg", "question": "Point to the car on the far right edge of the image.", "A": "968,644", "B": "423,720", "C": "989,641", "D": "401,706"} +{"index": 732, "question_id": "001330__largest_in_class_4", "image_path": "images_annotated/001330_001330__largest_in_class_4.jpg", "question": "Point to the largest car on the road.", "A": "258,750", "B": "170,770", "C": "298,719", "D": "340,725"} +{"index": 733, "question_id": "001330__relation_nearest_to_unique_6", "image_path": "images_annotated/001330_001330__relation_nearest_to_unique_6.jpg", "question": "Find the car nearest to the heavy truck.", "A": "397,705", "B": "371,716", "C": "416,725", "D": "340,725"} +{"index": 734, "question_id": "001330__quadrant_hint_5", "image_path": "images_annotated/001330_001330__quadrant_hint_5.jpg", "question": "Point to the vehicle in the lower right quadrant.", "A": "416,725", "B": "397,705", "C": "371,716", "D": "581,681"} +{"index": 735, "question_id": "001335__leftmost_in_class_10", "image_path": "images_annotated/001335_001335__leftmost_in_class_10.jpg", "question": "Point to the leftmost car in the scene.", "A": "244,753", "B": "144,771", "C": "289,719", "D": "332,726"} +{"index": 736, "question_id": "001335__relation_nearest_to_unique_5", "image_path": "images_annotated/001335_001335__relation_nearest_to_unique_5.jpg", "question": "Point to the car nearest to the large yellow house.", "A": "408,729", "B": "392,710", "C": "366,717", "D": "332,726"} +{"index": 737, "question_id": "001335__unique_class_9", "image_path": "images_annotated/001335_001335__unique_class_9.jpg", "question": "Find the heavy truck on the far right.", "A": "408,729", "B": "392,710", "C": "366,717", "D": "579,680"} +{"index": 738, "question_id": "001340__largest_in_class_10", "image_path": "images_annotated/001340_001340__largest_in_class_10.jpg", "question": "Find the largest car parked on the left side of the street.", "A": "115,781", "B": "228,756", "C": "279,720", "D": "326,729"} +{"index": 739, "question_id": "001340__smallest_in_class_3", "image_path": "images_annotated/001340_001340__smallest_in_class_3.jpg", "question": "Which car is the smallest one in the group of vehicles on the left?", "A": "360,718", "B": "398,732", "C": "326,729", "D": "372,715"} +{"index": 740, "question_id": "001340__quadrant_hint_2", "image_path": "images_annotated/001340_001340__quadrant_hint_2.jpg", "question": "Where is the large vehicle located in the lower right section of the image?", "A": "578,679", "B": "398,732", "C": "372,715", "D": "360,718"} +{"index": 741, "question_id": "001345__leftmost_in_class_0", "image_path": "images_annotated/001345_001345__leftmost_in_class_0.jpg", "question": "Point to the leftmost car parked on the street.", "A": "82,791", "B": "211,763", "C": "271,725", "D": "318,733"} +{"index": 742, "question_id": "001345__quadrant_hint_5", "image_path": "images_annotated/001345_001345__quadrant_hint_5.jpg", "question": "Tap the person standing on the far right side of the road.", "A": "948,644", "B": "982,639", "C": "989,638", "D": "962,652"} +{"index": 743, "question_id": "001350__largest_in_class_5", "image_path": "images_annotated/001350_001350__largest_in_class_5.jpg", "question": "Point to the largest car on the left side of the road.", "A": "192,767", "B": "258,725", "C": "311,732", "D": "57,796"} +{"index": 744, "question_id": "001350__relation_nearest_to_unique_2", "image_path": "images_annotated/001350_001350__relation_nearest_to_unique_2.jpg", "question": "Point to the car nearest to the large yellow house.", "A": "373,751", "B": "348,721", "C": "311,732", "D": "258,725"} +{"index": 745, "question_id": "001350__quadrant_hint_4", "image_path": "images_annotated/001350_001350__quadrant_hint_4.jpg", "question": "Where is the vehicle in the lower right corner?", "A": "373,751", "B": "575,680", "C": "348,721", "D": "311,732"} +{"index": 746, "question_id": "001355__relation_nearest_to_unique_5", "image_path": "images_annotated/001355_001355__relation_nearest_to_unique_5.jpg", "question": "Which car is nearest to the heavy truck?", "A": "304,734", "B": "355,763", "C": "249,724", "D": "172,771"} +{"index": 747, "question_id": "001355__leftmost_in_class_7", "image_path": "images_annotated/001355_001355__leftmost_in_class_7.jpg", "question": "Which car is the leftmost one in the image?", "A": "172,771", "B": "249,724", "C": "304,734", "D": "39,794"} +{"index": 748, "question_id": "001355__rightmost_in_class_2", "image_path": "images_annotated/001355_001355__rightmost_in_class_2.jpg", "question": "Which car is the rightmost one in the image?", "A": "961,638", "B": "856,654", "C": "355,763", "D": "304,734"} +{"index": 749, "question_id": "001360__leftmost_in_class_6", "image_path": "images_annotated/001360_001360__leftmost_in_class_6.jpg", "question": "Which car is positioned farthest to the left?", "A": "150,779", "B": "18,806", "C": "241,730", "D": "293,739"} +{"index": 750, "question_id": "001360__pair_size_8", "image_path": "images_annotated/001360_001360__pair_size_8.jpg", "question": "Which heavy truck is the larger of the two?", "A": "995,619", "B": "376,716", "C": "329,782", "D": "575,681"} +{"index": 751, "question_id": "001360__rightmost_in_class_1", "image_path": "images_annotated/001360_001360__rightmost_in_class_1.jpg", "question": "Which heavy truck is positioned farthest to the right?", "A": "575,681", "B": "968,639", "C": "995,619", "D": "917,647"} +{"index": 752, "question_id": "001365__bottommost_in_class_6", "image_path": "images_annotated/001365_001365__bottommost_in_class_6.jpg", "question": "Point to the car that is lowest in the frame.", "A": "236,730", "B": "350,723", "C": "288,814", "D": "361,719"} +{"index": 753, "question_id": "001365__relation_nearest_to_unique_3", "image_path": "images_annotated/001365_001365__relation_nearest_to_unique_3.jpg", "question": "Point to the car nearest to the black SUV on the left.", "A": "361,719", "B": "350,723", "C": "288,814", "D": "373,717"} +{"index": 754, "question_id": "001365__quadrant_hint_4", "image_path": "images_annotated/001365_001365__quadrant_hint_4.jpg", "question": "Where is the large vehicle in the lower right quadrant?", "A": "373,717", "B": "575,681", "C": "361,719", "D": "350,723"} +{"index": 755, "question_id": "001370__largest_in_class_5", "image_path": "images_annotated/001370_001370__largest_in_class_5.jpg", "question": "Point to the largest car on the road.", "A": "96,792", "B": "332,727", "C": "347,721", "D": "213,866"} +{"index": 756, "question_id": "001370__leftmost_in_class_7", "image_path": "images_annotated/001370_001370__leftmost_in_class_7.jpg", "question": "Point to the leftmost car in the image.", "A": "213,866", "B": "332,727", "C": "96,792", "D": "347,721"} +{"index": 757, "question_id": "001370__quadrant_hint_8", "image_path": "images_annotated/001370_001370__quadrant_hint_8.jpg", "question": "Tap on the vehicle located in the lower right corner.", "A": "370,716", "B": "358,719", "C": "576,681", "D": "347,721"} +{"index": 758, "question_id": "001375__largest_in_class_10", "image_path": "images_annotated/001375_001375__largest_in_class_10.jpg", "question": "Where is the largest car in the image?", "A": "120,952", "B": "223,729", "C": "272,741", "D": "328,725"} +{"index": 759, "question_id": "001375__unique_class_0", "image_path": "images_annotated/001375_001375__unique_class_0.jpg", "question": "Point to the heavy truck on the far right side of the road.", "A": "368,714", "B": "577,678", "C": "355,717", "D": "343,720"} +{"index": 760, "question_id": "001375__relation_nearest_to_unique_1", "image_path": "images_annotated/001375_001375__relation_nearest_to_unique_1.jpg", "question": "Point to the car nearest to the heavy truck.", "A": "355,717", "B": "343,720", "C": "328,725", "D": "368,714"} +{"index": 761, "question_id": "001380__relation_left_of_unique_0", "image_path": "images_annotated/001380_001380__relation_left_of_unique_0.jpg", "question": "Point to the black car parked on the far left.", "A": "211,727", "B": "263,738", "C": "323,722", "D": "51,784"} +{"index": 762, "question_id": "001380__relation_nearest_to_unique_1", "image_path": "images_annotated/001380_001380__relation_nearest_to_unique_1.jpg", "question": "Which car is closest to the road sign?", "A": "263,738", "B": "323,722", "C": "340,718", "D": "211,727"} +{"index": 763, "question_id": "001380__unique_class_2", "image_path": "images_annotated/001380_001380__unique_class_2.jpg", "question": "Point to the road sign on the left side of the road.", "A": "211,727", "B": "121,645", "C": "51,784", "D": "263,738"} +{"index": 764, "question_id": "001385__leftmost_in_class_0", "image_path": "images_annotated/001385_001385__leftmost_in_class_0.jpg", "question": "Where is the leftmost car parked on the street?", "A": "33,788", "B": "201,724", "C": "254,736", "D": "319,719"} +{"index": 765, "question_id": "001385__pair_size_3", "image_path": "images_annotated/001385_001385__pair_size_3.jpg", "question": "Point to the larger of the two heavy trucks on the right.", "A": "378,681", "B": "580,671", "C": "364,707", "D": "350,710"} +{"index": 766, "question_id": "001390__leftmost_in_class_11", "image_path": "images_annotated/001390_001390__leftmost_in_class_11.jpg", "question": "Which car is the leftmost one in the line of parked cars?", "A": "185,723", "B": "244,737", "C": "315,718", "D": "333,713"} +{"index": 767, "question_id": "001390__relation_nearest_to_unique_7", "image_path": "images_annotated/001390_001390__relation_nearest_to_unique_7.jpg", "question": "Which car is closest to the heavy truck?", "A": "348,708", "B": "333,713", "C": "362,706", "D": "315,718"} +{"index": 768, "question_id": "001390__largest_in_class_0", "image_path": "images_annotated/001390_001390__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "185,723", "B": "315,718", "C": "244,737", "D": "333,713"} +{"index": 769, "question_id": "001395__largest_in_class_7", "image_path": "images_annotated/001395_001395__largest_in_class_7.jpg", "question": "Where is the largest car on the road?", "A": "172,725", "B": "311,720", "C": "233,743", "D": "329,715"} +{"index": 770, "question_id": "001395__leftmost_in_class_8", "image_path": "images_annotated/001395_001395__leftmost_in_class_8.jpg", "question": "Point to the leftmost car in the line of parked vehicles.", "A": "172,725", "B": "233,743", "C": "311,720", "D": "329,715"} +{"index": 771, "question_id": "001395__pair_top_bottom_9", "image_path": "images_annotated/001395_001395__pair_top_bottom_9.jpg", "question": "Find the top road sign in the pair of signs on the left.", "A": "45,621", "B": "46,594", "C": "172,725", "D": "233,743"} +{"index": 772, "question_id": "001400__leftmost_in_class_6", "image_path": "images_annotated/001400_001400__leftmost_in_class_6.jpg", "question": "Point to the leftmost car on the road.", "A": "222,744", "B": "307,722", "C": "169,727", "D": "327,717"} +{"index": 773, "question_id": "001400__largest_in_class_5", "image_path": "images_annotated/001400_001400__largest_in_class_5.jpg", "question": "Which car is the largest in the scene?", "A": "222,744", "B": "169,727", "C": "307,722", "D": "327,717"} +{"index": 774, "question_id": "001400__pair_top_bottom_7", "image_path": "images_annotated/001400_001400__pair_top_bottom_7.jpg", "question": "Which road sign is the top one in the pair?", "A": "12,616", "B": "169,727", "C": "222,744", "D": "14,583"} +{"index": 775, "question_id": "001405__closest_bottom_edge_3", "image_path": "images_annotated/001405_001405__closest_bottom_edge_3.jpg", "question": "Which car is closest to the bottom edge of the image?", "A": "151,728", "B": "304,722", "C": "324,717", "D": "210,748"} +{"index": 776, "question_id": "001405__relation_nearest_to_unique_0", "image_path": "images_annotated/001405_001405__relation_nearest_to_unique_0.jpg", "question": "Point to the car nearest to the heavy truck.", "A": "342,712", "B": "359,707", "C": "324,717", "D": "304,722"} +{"index": 777, "question_id": "001405__quadrant_hint_9", "image_path": "images_annotated/001405_001405__quadrant_hint_9.jpg", "question": "Where is the vehicle in the lower right quadrant?", "A": "359,707", "B": "342,712", "C": "589,669", "D": "324,717"} +{"index": 778, "question_id": "001410__relation_nearest_to_unique_3", "image_path": "images_annotated/001410_001410__relation_nearest_to_unique_3.jpg", "question": "Which car is nearest to the large white building on the left?", "A": "341,713", "B": "359,708", "C": "322,718", "D": "300,723"} +{"index": 779, "question_id": "001410__closest_bottom_edge_1", "image_path": "images_annotated/001410_001410__closest_bottom_edge_1.jpg", "question": "Which car is closest to the bottom edge of the image?", "A": "144,729", "B": "300,723", "C": "322,718", "D": "197,750"} +{"index": 780, "question_id": "001410__unique_class_4", "image_path": "images_annotated/001410_001410__unique_class_4.jpg", "question": "Point to the heavy truck on the far right.", "A": "359,708", "B": "341,713", "C": "593,667", "D": "322,718"} +{"index": 781, "question_id": "001415__closest_bottom_edge_0", "image_path": "images_annotated/001415_001415__closest_bottom_edge_0.jpg", "question": "Which car is closest to the bottom edge of the image?", "A": "184,758", "B": "123,734", "C": "297,729", "D": "320,720"} +{"index": 782, "question_id": "001415__quadrant_hint_2", "image_path": "images_annotated/001415_001415__quadrant_hint_2.jpg", "question": "Find the vehicle in the lower right quadrant of the image.", "A": "360,710", "B": "340,717", "C": "320,720", "D": "598,669"} +{"index": 783, "question_id": "001415__leftmost_in_class_1", "image_path": "images_annotated/001415_001415__leftmost_in_class_1.jpg", "question": "Which car is the leftmost on the street?", "A": "184,758", "B": "297,729", "C": "123,734", "D": "320,720"} +{"index": 784, "question_id": "001420__closest_to_center_6", "image_path": "images_annotated/001420_001420__closest_to_center_6.jpg", "question": "Point to the car closest to the center of the image.", "A": "360,716", "B": "339,720", "C": "318,725", "D": "293,733"} +{"index": 785, "question_id": "001420__pair_size_3", "image_path": "images_annotated/001420_001420__pair_size_3.jpg", "question": "Find the larger of the two heavy trucks.", "A": "603,672", "B": "379,682", "C": "360,716", "D": "339,720"} +{"index": 786, "question_id": "001420__pair_size_7", "image_path": "images_annotated/001420_001420__pair_size_7.jpg", "question": "Find the smaller of the two heavy trucks.", "A": "603,672", "B": "360,716", "C": "379,682", "D": "339,720"} +{"index": 787, "question_id": "001425__largest_in_class_8", "image_path": "images_annotated/001425_001425__largest_in_class_8.jpg", "question": "Which car on the left is the largest?", "A": "88,736", "B": "289,737", "C": "315,729", "D": "147,771"} +{"index": 788, "question_id": "001425__smallest_in_class_0", "image_path": "images_annotated/001425_001425__smallest_in_class_0.jpg", "question": "Which car on the far right is the smallest?", "A": "991,632", "B": "978,634", "C": "956,636", "D": "360,718"} +{"index": 789, "question_id": "001425__unique_class_3", "image_path": "images_annotated/001425_001425__unique_class_3.jpg", "question": "Point to the heavy truck on the right side of the road.", "A": "605,673", "B": "360,718", "C": "338,723", "D": "315,729"} +{"index": 790, "question_id": "001430__bottommost_in_class_8", "image_path": "images_annotated/001430_001430__bottommost_in_class_8.jpg", "question": "Where is the car that is lowest on the road, parked on the left?", "A": "124,778", "B": "67,731", "C": "283,738", "D": "311,730"} +{"index": 791, "question_id": "001430__relation_nearest_to_unique_2", "image_path": "images_annotated/001430_001430__relation_nearest_to_unique_2.jpg", "question": "Point to the car nearest to the large SUV parked on the left.", "A": "335,723", "B": "359,718", "C": "311,730", "D": "283,738"} +{"index": 792, "question_id": "001430__unique_class_5", "image_path": "images_annotated/001430_001430__unique_class_5.jpg", "question": "Find the heavy truck on the far right side of the road.", "A": "359,718", "B": "335,723", "C": "311,730", "D": "609,672"} +{"index": 793, "question_id": "001435__closest_to_center_5", "image_path": "images_annotated/001435_001435__closest_to_center_5.jpg", "question": "Where is the car closest to the center of the image?", "A": "357,718", "B": "444,700", "C": "332,725", "D": "306,731"} +{"index": 794, "question_id": "001435__pair_size_2", "image_path": "images_annotated/001435_001435__pair_size_2.jpg", "question": "Which truck is the larger of the two?", "A": "379,683", "B": "444,700", "C": "612,673", "D": "357,718"} +{"index": 795, "question_id": "001435__largest_in_class_8", "image_path": "images_annotated/001435_001435__largest_in_class_8.jpg", "question": "Find the largest car on the road.", "A": "38,733", "B": "276,737", "C": "306,731", "D": "95,781"} +{"index": 796, "question_id": "001440__pair_size_5", "image_path": "images_annotated/001440_001440__pair_size_5.jpg", "question": "Which heavy truck is the larger of the two?", "A": "616,673", "B": "379,684", "C": "449,700", "D": "356,719"} +{"index": 797, "question_id": "001440__smallest_in_class_4", "image_path": "images_annotated/001440_001440__smallest_in_class_4.jpg", "question": "Find the smallest heavy truck in the image.", "A": "616,673", "B": "356,719", "C": "329,727", "D": "379,684"} +{"index": 798, "question_id": "001445__smallest_in_class_4", "image_path": "images_annotated/001445_001445__smallest_in_class_4.jpg", "question": "Find the smallest car in the image.", "A": "354,719", "B": "991,634", "C": "323,724", "D": "293,733"} +{"index": 799, "question_id": "001445__relation_nearest_to_unique_3", "image_path": "images_annotated/001445_001445__relation_nearest_to_unique_3.jpg", "question": "Which car is closest to the heavy truck?", "A": "323,724", "B": "293,733", "C": "354,719", "D": "258,741"} +{"index": 800, "question_id": "001445__unique_class_2", "image_path": "images_annotated/001445_001445__unique_class_2.jpg", "question": "Point to the heavy truck on the right side of the road.", "A": "619,673", "B": "354,719", "C": "323,724", "D": "293,733"} +{"index": 801, "question_id": "001450__largest_in_class_4", "image_path": "images_annotated/001450_001450__largest_in_class_4.jpg", "question": "Point to the largest car parked on the left side.", "A": "247,745", "B": "32,785", "C": "286,736", "D": "318,726"} +{"index": 802, "question_id": "001450__rightmost_in_class_3", "image_path": "images_annotated/001450_001450__rightmost_in_class_3.jpg", "question": "Which car is the rightmost among the vehicles on the road?", "A": "318,726", "B": "286,736", "C": "247,745", "D": "351,719"} +{"index": 803, "question_id": "001450__unique_class_0", "image_path": "images_annotated/001450_001450__unique_class_0.jpg", "question": "Point to the heavy truck on the right side of the road.", "A": "351,719", "B": "318,726", "C": "621,674", "D": "286,736"} +{"index": 804, "question_id": "001455__leftmost_in_class_3", "image_path": "images_annotated/001455_001455__leftmost_in_class_3.jpg", "question": "Find the leftmost car parked along the side of the road.", "A": "277,734", "B": "312,725", "C": "235,744", "D": "347,718"} +{"index": 805, "question_id": "001455__rightmost_in_class_0", "image_path": "images_annotated/001455_001455__rightmost_in_class_0.jpg", "question": "Find the car parked farthest to the right on the left side of the road.", "A": "312,725", "B": "277,734", "C": "347,718", "D": "235,744"} +{"index": 806, "question_id": "001455__quadrant_hint_1", "image_path": "images_annotated/001455_001455__quadrant_hint_1.jpg", "question": "Point to the vehicle in the lower right corner of the image.", "A": "624,672", "B": "347,718", "C": "312,725", "D": "277,734"} +{"index": 807, "question_id": "001460__largest_in_class_3", "image_path": "images_annotated/001460_001460__largest_in_class_3.jpg", "question": "Which car is the largest in the group?", "A": "267,737", "B": "306,727", "C": "344,718", "D": "221,746"} +{"index": 808, "question_id": "001460__relation_nearest_to_unique_1", "image_path": "images_annotated/001460_001460__relation_nearest_to_unique_1.jpg", "question": "Which car is closest to the large white house on the left?", "A": "306,727", "B": "267,737", "C": "344,718", "D": "221,746"} +{"index": 809, "question_id": "001460__unique_class_2", "image_path": "images_annotated/001460_001460__unique_class_2.jpg", "question": "Find the heavy truck among the cars.", "A": "344,718", "B": "306,727", "C": "627,673", "D": "267,737"} +{"index": 810, "question_id": "001465__leftmost_in_class_4", "image_path": "images_annotated/001465_001465__leftmost_in_class_4.jpg", "question": "Point to the car that is farthest to the left.", "A": "256,742", "B": "299,730", "C": "340,722", "D": "205,750"} +{"index": 811, "question_id": "001465__relation_nearest_to_unique_2", "image_path": "images_annotated/001465_001465__relation_nearest_to_unique_2.jpg", "question": "Which car is closest to the large white house on the left?", "A": "340,722", "B": "299,730", "C": "256,742", "D": "205,750"} +{"index": 812, "question_id": "001465__unique_class_3", "image_path": "images_annotated/001465_001465__unique_class_3.jpg", "question": "Find the heavy truck among the cars.", "A": "340,722", "B": "299,730", "C": "629,676", "D": "256,742"} +{"index": 813, "question_id": "001470__largest_in_class_3", "image_path": "images_annotated/001470_001470__largest_in_class_3.jpg", "question": "Which car is the largest on the left side?", "A": "244,744", "B": "186,754", "C": "292,731", "D": "336,722"} +{"index": 814, "question_id": "001470__rightmost_in_class_4", "image_path": "images_annotated/001470_001470__rightmost_in_class_4.jpg", "question": "Point to the rightmost car in the row of parked vehicles.", "A": "292,731", "B": "244,744", "C": "186,754", "D": "336,722"} +{"index": 815, "question_id": "001470__quadrant_hint_1", "image_path": "images_annotated/001470_001470__quadrant_hint_1.jpg", "question": "Find the vehicle in the lower right quadrant.", "A": "336,722", "B": "292,731", "C": "632,677", "D": "244,744"} +{"index": 816, "question_id": "001475__rightmost_in_class_3", "image_path": "images_annotated/001475_001475__rightmost_in_class_3.jpg", "question": "Where is the rightmost car in the scene?", "A": "284,729", "B": "231,742", "C": "165,754", "D": "331,719"} +{"index": 817, "question_id": "001475__largest_in_class_2", "image_path": "images_annotated/001475_001475__largest_in_class_2.jpg", "question": "Point to the largest vehicle in the image.", "A": "364,681", "B": "331,719", "C": "634,676", "D": "284,729"} +{"index": 818, "question_id": "001475__pair_size_4", "image_path": "images_annotated/001475_001475__pair_size_4.jpg", "question": "Which truck is the smaller of the two?", "A": "634,676", "B": "364,681", "C": "331,719", "D": "284,729"} +{"index": 819, "question_id": "001480__smallest_in_class_1", "image_path": "images_annotated/001480_001480__smallest_in_class_1.jpg", "question": "Find the smallest heavy truck in the scene.", "A": "360,678", "B": "637,673", "C": "327,720", "D": "275,730"} +{"index": 820, "question_id": "001480__largest_in_class_4", "image_path": "images_annotated/001480_001480__largest_in_class_4.jpg", "question": "Tap the largest car in the scene.", "A": "214,742", "B": "275,730", "C": "140,755", "D": "327,720"} +{"index": 821, "question_id": "001485__largest_in_class_3", "image_path": "images_annotated/001485_001485__largest_in_class_3.jpg", "question": "Which car is the largest in the group?", "A": "195,749", "B": "265,734", "C": "112,764", "D": "321,722"} +{"index": 822, "question_id": "001485__pair_size_0", "image_path": "images_annotated/001485_001485__pair_size_0.jpg", "question": "Point to the smaller of the two heavy trucks.", "A": "357,680", "B": "640,675", "C": "321,722", "D": "265,734"} +{"index": 823, "question_id": "001485__smallest_in_class_4", "image_path": "images_annotated/001485_001485__smallest_in_class_4.jpg", "question": "Where is the smallest car in the image?", "A": "321,722", "B": "265,734", "C": "195,749", "D": "112,764"} +{"index": 824, "question_id": "001490__closest_to_center_1", "image_path": "images_annotated/001490_001490__closest_to_center_1.jpg", "question": "Find the car closest to the center of the image.", "A": "254,737", "B": "174,755", "C": "77,770", "D": "316,722"} +{"index": 825, "question_id": "001490__pair_size_2", "image_path": "images_annotated/001490_001490__pair_size_2.jpg", "question": "Which heavy truck is the larger of the two?", "A": "354,678", "B": "643,674", "C": "316,722", "D": "254,737"} +{"index": 826, "question_id": "001495__largest_in_class_0", "image_path": "images_annotated/001495_001495__largest_in_class_0.jpg", "question": "Find the largest heavy truck in the scene.", "A": "647,674", "B": "352,678", "C": "309,723", "D": "242,735"} +{"index": 827, "question_id": "001495__smallest_in_class_1", "image_path": "images_annotated/001495_001495__smallest_in_class_1.jpg", "question": "Tap the smallest heavy truck in the scene.", "A": "647,674", "B": "309,723", "C": "352,678", "D": "242,735"} +{"index": 828, "question_id": "001500__leftmost_in_class_0", "image_path": "images_annotated/001500_001500__leftmost_in_class_0.jpg", "question": "Point to the leftmost car parked on the street.", "A": "118,762", "B": "228,739", "C": "34,771", "D": "303,725"} +{"index": 829, "question_id": "001500__smallest_in_class_4", "image_path": "images_annotated/001500_001500__smallest_in_class_4.jpg", "question": "Find the smallest car on the road.", "A": "228,739", "B": "118,762", "C": "303,725", "D": "34,771"} +{"index": 830, "question_id": "001500__largest_in_class_2", "image_path": "images_annotated/001500_001500__largest_in_class_2.jpg", "question": "Find the largest car parked on the left side of the road.", "A": "118,762", "B": "34,771", "C": "228,739", "D": "303,725"} +{"index": 831, "question_id": "001505__closest_to_center_4", "image_path": "images_annotated/001505_001505__closest_to_center_4.jpg", "question": "Where is the car closest to the center of the image?", "A": "707,688", "B": "296,731", "C": "544,702", "D": "213,745"} +{"index": 832, "question_id": "001505__rightmost_in_class_3", "image_path": "images_annotated/001505_001505__rightmost_in_class_3.jpg", "question": "Tap the car that is farthest to the right.", "A": "707,688", "B": "544,702", "C": "296,731", "D": "213,745"} +{"index": 833, "question_id": "001505__quadrant_hint_1", "image_path": "images_annotated/001505_001505__quadrant_hint_1.jpg", "question": "Point to the heavy truck in the lower left quadrant.", "A": "655,677", "B": "345,681", "C": "296,731", "D": "213,745"} +{"index": 834, "question_id": "001510__smallest_in_class_2", "image_path": "images_annotated/001510_001510__smallest_in_class_2.jpg", "question": "Which car is the smallest?", "A": "556,705", "B": "289,736", "C": "712,690", "D": "196,756"} +{"index": 835, "question_id": "001510__largest_in_class_0", "image_path": "images_annotated/001510_001510__largest_in_class_0.jpg", "question": "Find the largest truck in the image.", "A": "342,683", "B": "659,679", "C": "712,690", "D": "556,705"} +{"index": 836, "question_id": "001510__closest_to_center_1", "image_path": "images_annotated/001510_001510__closest_to_center_1.jpg", "question": "Where is the car closest to the center of the image?", "A": "556,705", "B": "712,690", "C": "289,736", "D": "196,756"} +{"index": 837, "question_id": "001515__leftmost_in_class_2", "image_path": "images_annotated/001515_001515__leftmost_in_class_2.jpg", "question": "Point to the leftmost car in the scene.", "A": "35,778", "B": "176,757", "C": "281,736", "D": "564,702"} +{"index": 838, "question_id": "001515__smallest_in_class_3", "image_path": "images_annotated/001515_001515__smallest_in_class_3.jpg", "question": "Which heavy truck is the smallest?", "A": "663,675", "B": "281,736", "C": "339,680", "D": "176,757"} +{"index": 839, "question_id": "001515__pair_size_4", "image_path": "images_annotated/001515_001515__pair_size_4.jpg", "question": "Tap the larger of the two heavy trucks.", "A": "339,680", "B": "663,675", "C": "717,687", "D": "564,702"} +{"index": 840, "question_id": "001520__relation_nearest_to_unique_1", "image_path": "images_annotated/001520_001520__relation_nearest_to_unique_1.jpg", "question": "Find the car that is nearest to the road sign.", "A": "272,737", "B": "155,761", "C": "574,700", "D": "721,685"} +{"index": 841, "question_id": "001520__smallest_in_class_3", "image_path": "images_annotated/001520_001520__smallest_in_class_3.jpg", "question": "Where is the smallest car in the image?", "A": "574,700", "B": "272,737", "C": "155,761", "D": "721,685"} +{"index": 842, "question_id": "001520__unique_class_0", "image_path": "images_annotated/001520_001520__unique_class_0.jpg", "question": "Point to the road sign on the left side of the road.", "A": "155,761", "B": "272,737", "C": "141,631", "D": "335,678"} +{"index": 843, "question_id": "001525__largest_in_class_0", "image_path": "images_annotated/001525_001525__largest_in_class_0.jpg", "question": "Which car is the largest on the left side of the road?", "A": "128,766", "B": "262,739", "C": "584,698", "D": "727,683"} +{"index": 844, "question_id": "001525__closest_to_center_3", "image_path": "images_annotated/001525_001525__closest_to_center_3.jpg", "question": "Where is the car closest to the center of the image?", "A": "727,683", "B": "745,684", "C": "584,698", "D": "262,739"} +{"index": 845, "question_id": "001525__pair_size_7", "image_path": "images_annotated/001525_001525__pair_size_7.jpg", "question": "Tap the larger of the two heavy trucks on the right.", "A": "331,679", "B": "727,683", "C": "745,684", "D": "673,671"} +{"index": 846, "question_id": "001530__largest_in_class_1", "image_path": "images_annotated/001530_001530__largest_in_class_1.jpg", "question": "Point to the largest car on the left side of the road.", "A": "251,741", "B": "595,698", "C": "732,684", "D": "95,769"} +{"index": 847, "question_id": "001530__smallest_in_class_3", "image_path": "images_annotated/001530_001530__smallest_in_class_3.jpg", "question": "Point to the smallest heavy truck in the image.", "A": "327,679", "B": "678,671", "C": "251,741", "D": "95,769"} +{"index": 848, "question_id": "001530__closest_top_edge_4", "image_path": "images_annotated/001530_001530__closest_top_edge_4.jpg", "question": "Find the road sign that is closest to the top edge of the image.", "A": "88,619", "B": "89,593", "C": "95,769", "D": "251,741"} +{"index": 849, "question_id": "001535__leftmost_in_class_1", "image_path": "images_annotated/001535_001535__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the image.", "A": "238,745", "B": "608,700", "C": "736,684", "D": "60,780"} +{"index": 850, "question_id": "001535__closest_to_center_2", "image_path": "images_annotated/001535_001535__closest_to_center_2.jpg", "question": "Where is the car closest to the center of the image?", "A": "608,700", "B": "736,684", "C": "758,686", "D": "238,745"} +{"index": 851, "question_id": "001535__smallest_in_class_3", "image_path": "images_annotated/001535_001535__smallest_in_class_3.jpg", "question": "Which heavy truck is the smallest?", "A": "683,672", "B": "238,745", "C": "322,679", "D": "60,780"} +{"index": 852, "question_id": "001540__leftmost_in_class_0", "image_path": "images_annotated/001540_001540__leftmost_in_class_0.jpg", "question": "Point to the car on the far left of the road.", "A": "223,745", "B": "42,785", "C": "618,697", "D": "742,682"} +{"index": 853, "question_id": "001540__closest_right_edge_2", "image_path": "images_annotated/001540_001540__closest_right_edge_2.jpg", "question": "Find the car closest to the right edge of the image.", "A": "742,682", "B": "618,697", "C": "765,683", "D": "223,745"} +{"index": 854, "question_id": "001540__pair_top_bottom_3", "image_path": "images_annotated/001540_001540__pair_top_bottom_3.jpg", "question": "Which road sign is the top one in the pair?", "A": "14,603", "B": "17,569", "C": "42,785", "D": "223,745"} +{"index": 855, "question_id": "001545__rightmost_in_class_1", "image_path": "images_annotated/001545_001545__rightmost_in_class_1.jpg", "question": "Where is the rightmost car in the image?", "A": "909,656", "B": "771,681", "C": "748,681", "D": "631,696"} +{"index": 856, "question_id": "001545__closest_to_center_4", "image_path": "images_annotated/001545_001545__closest_to_center_4.jpg", "question": "Tap the car closest to the center of the image.", "A": "748,681", "B": "771,681", "C": "631,696", "D": "909,656"} +{"index": 857, "question_id": "001545__quadrant_hint_0", "image_path": "images_annotated/001545_001545__quadrant_hint_0.jpg", "question": "Point to the heavy truck in the lower-left quadrant.", "A": "694,669", "B": "308,679", "C": "206,752", "D": "631,696"} +{"index": 858, "question_id": "001550__pair_size_0", "image_path": "images_annotated/001550_001550__pair_size_0.jpg", "question": "Which truck is the smaller of the two?", "A": "699,666", "B": "186,753", "C": "643,694", "D": "302,674"} +{"index": 859, "question_id": "001550__pair_size_3", "image_path": "images_annotated/001550_001550__pair_size_3.jpg", "question": "Which truck is the larger of the two?", "A": "302,674", "B": "699,666", "C": "753,679", "D": "643,694"} +{"index": 860, "question_id": "001555__leftmost_in_class_1", "image_path": "images_annotated/001555_001555__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the scene.", "A": "656,691", "B": "760,677", "C": "786,678", "D": "165,765"} +{"index": 861, "question_id": "001555__quadrant_hint_3", "image_path": "images_annotated/001555_001555__quadrant_hint_3.jpg", "question": "Where is the heavy truck on the right side of the image?", "A": "295,672", "B": "706,664", "C": "656,691", "D": "760,677"} +{"index": 862, "question_id": "001555__rightmost_in_class_0", "image_path": "images_annotated/001555_001555__rightmost_in_class_0.jpg", "question": "Which car is the rightmost one in the scene?", "A": "786,678", "B": "760,677", "C": "656,691", "D": "165,765"} +{"index": 863, "question_id": "001560__rightmost_in_class_3", "image_path": "images_annotated/001560_001560__rightmost_in_class_3.jpg", "question": "Tap the car that is farthest to the right.", "A": "767,674", "B": "668,688", "C": "138,767", "D": "794,674"} +{"index": 864, "question_id": "001560__closest_to_center_2", "image_path": "images_annotated/001560_001560__closest_to_center_2.jpg", "question": "Point to the car closest to the center of the image.", "A": "668,688", "B": "767,674", "C": "794,674", "D": "138,767"} +{"index": 865, "question_id": "001560__quadrant_hint_0", "image_path": "images_annotated/001560_001560__quadrant_hint_0.jpg", "question": "Point to the truck on the right side of the image.", "A": "286,669", "B": "668,688", "C": "712,660", "D": "767,674"} +{"index": 866, "question_id": "001565__pair_left_right_0", "image_path": "images_annotated/001565_001565__pair_left_right_0.jpg", "question": "Point to the larger of the two heavy trucks.", "A": "279,665", "B": "718,656", "C": "676,683", "D": "773,670"} +{"index": 867, "question_id": "001565__smallest_in_class_2", "image_path": "images_annotated/001565_001565__smallest_in_class_2.jpg", "question": "Which car is the smallest?", "A": "773,670", "B": "802,671", "C": "107,763", "D": "676,683"} +{"index": 868, "question_id": "001565__rightmost_in_class_3", "image_path": "images_annotated/001565_001565__rightmost_in_class_3.jpg", "question": "Which car is the rightmost one?", "A": "802,671", "B": "773,670", "C": "676,683", "D": "107,763"} +{"index": 869, "question_id": "001570__largest_in_class_0", "image_path": "images_annotated/001570_001570__largest_in_class_0.jpg", "question": "Which car is the largest in the scene?", "A": "284,702", "B": "780,671", "C": "809,669", "D": "75,773"} +{"index": 870, "question_id": "001570__quadrant_hint_2", "image_path": "images_annotated/001570_001570__quadrant_hint_2.jpg", "question": "Where is the heavy truck in the lower-left quadrant?", "A": "726,656", "B": "284,702", "C": "268,668", "D": "75,773"} +{"index": 871, "question_id": "001570__pair_size_3", "image_path": "images_annotated/001570_001570__pair_size_3.jpg", "question": "Find the smaller of the two heavy trucks.", "A": "268,668", "B": "726,656", "C": "780,671", "D": "809,669"} +{"index": 872, "question_id": "001575__largest_in_class_2", "image_path": "images_annotated/001575_001575__largest_in_class_2.jpg", "question": "Which car is the largest in the scene?", "A": "277,706", "B": "59,782", "C": "786,673", "D": "819,674"} +{"index": 873, "question_id": "001575__quadrant_hint_1", "image_path": "images_annotated/001575_001575__quadrant_hint_1.jpg", "question": "Point to the heavy truck on the left side of the road.", "A": "732,658", "B": "277,706", "C": "59,782", "D": "258,671"} +{"index": 874, "question_id": "001575__pair_size_4", "image_path": "images_annotated/001575_001575__pair_size_4.jpg", "question": "Which truck is the smaller of the two heavy trucks?", "A": "732,658", "B": "258,671", "C": "786,673", "D": "819,674"} +{"index": 875, "question_id": "001580__smallest_in_class_3", "image_path": "images_annotated/001580_001580__smallest_in_class_3.jpg", "question": "Find the smallest heavy truck in the scene.", "A": "740,656", "B": "246,671", "C": "793,671", "D": "828,672"} +{"index": 876, "question_id": "001580__rightmost_in_class_0", "image_path": "images_annotated/001580_001580__rightmost_in_class_0.jpg", "question": "Point to the car on the far right of the road.", "A": "904,654", "B": "828,672", "C": "964,641", "D": "793,671"} +{"index": 877, "question_id": "001580__closest_to_center_1", "image_path": "images_annotated/001580_001580__closest_to_center_1.jpg", "question": "Find the car closest to the center of the image.", "A": "383,706", "B": "411,704", "C": "269,706", "D": "41,780"} +{"index": 878, "question_id": "001585__largest_in_class_3", "image_path": "images_annotated/001585_001585__largest_in_class_3.jpg", "question": "Tap the largest heavy truck in the scene.", "A": "748,656", "B": "233,673", "C": "264,709", "D": "383,706"} +{"index": 879, "question_id": "001585__pair_size_4", "image_path": "images_annotated/001585_001585__pair_size_4.jpg", "question": "Find the smaller of the two heavy trucks.", "A": "233,673", "B": "748,656", "C": "801,669", "D": "837,670"} +{"index": 880, "question_id": "001590__leftmost_in_class_4", "image_path": "images_annotated/001590_001590__leftmost_in_class_4.jpg", "question": "Which car is the leftmost one in the image?", "A": "381,705", "B": "408,705", "C": "260,708", "D": "808,665"} +{"index": 881, "question_id": "001590__largest_in_class_2", "image_path": "images_annotated/001590_001590__largest_in_class_2.jpg", "question": "Which car is the largest in the image?", "A": "808,665", "B": "846,667", "C": "920,647", "D": "936,642"} +{"index": 882, "question_id": "001590__rightmost_in_class_0", "image_path": "images_annotated/001590_001590__rightmost_in_class_0.jpg", "question": "Which car is the rightmost one in the image?", "A": "936,642", "B": "920,647", "C": "978,633", "D": "846,667"} +{"index": 883, "question_id": "001595__relation_nearest_to_unique_4", "image_path": "images_annotated/001595_001595__relation_nearest_to_unique_4.jpg", "question": "Find the car that is nearest to the person.", "A": "818,663", "B": "928,644", "C": "856,665", "D": "945,639"} +{"index": 884, "question_id": "001595__unique_class_0", "image_path": "images_annotated/001595_001595__unique_class_0.jpg", "question": "Point to the person standing near the cars on the right.", "A": "856,665", "B": "862,660", "C": "818,663", "D": "928,644"} +{"index": 885, "question_id": "001595__closest_to_center_2", "image_path": "images_annotated/001595_001595__closest_to_center_2.jpg", "question": "Point to the car closest to the center of the road.", "A": "379,706", "B": "254,709", "C": "224,706", "D": "407,705"} +{"index": 886, "question_id": "001600__pair_size_5", "image_path": "images_annotated/001600_001600__pair_size_5.jpg", "question": "Find the smaller of the two heavy trucks.", "A": "774,648", "B": "187,671", "C": "825,664", "D": "867,665"} +{"index": 887, "question_id": "001600__closest_to_center_1", "image_path": "images_annotated/001600_001600__closest_to_center_1.jpg", "question": "Find the car closest to the center of the image.", "A": "378,709", "B": "249,713", "C": "212,709", "D": "405,706"} +{"index": 888, "question_id": "001600__quadrant_hint_0", "image_path": "images_annotated/001600_001600__quadrant_hint_0.jpg", "question": "Where is the person on the far right side of the road?", "A": "867,665", "B": "825,664", "C": "874,659", "D": "936,644"} +{"index": 889, "question_id": "001605__leftmost_in_class_1", "image_path": "images_annotated/001605_001605__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the line of traffic.", "A": "246,713", "B": "207,709", "C": "369,710", "D": "404,706"} +{"index": 890, "question_id": "001605__relation_nearest_to_unique_5", "image_path": "images_annotated/001605_001605__relation_nearest_to_unique_5.jpg", "question": "Where is the car nearest to the person?", "A": "834,660", "B": "945,641", "C": "878,661", "D": "962,635"} +{"index": 891, "question_id": "001605__closest_to_center_4", "image_path": "images_annotated/001605_001605__closest_to_center_4.jpg", "question": "Find the car closest to the center of the road.", "A": "404,706", "B": "375,708", "C": "246,713", "D": "207,709"} +{"index": 892, "question_id": "001610__largest_in_class_3", "image_path": "images_annotated/001610_001610__largest_in_class_3.jpg", "question": "Which car is the largest among the vehicles on the right?", "A": "844,656", "B": "889,657", "C": "954,636", "D": "970,631"} +{"index": 893, "question_id": "001610__leftmost_in_class_6", "image_path": "images_annotated/001610_001610__leftmost_in_class_6.jpg", "question": "Which car is the leftmost one in the line of traffic?", "A": "239,712", "B": "201,710", "C": "367,709", "D": "373,706"} +{"index": 894, "question_id": "001610__closest_to_center_5", "image_path": "images_annotated/001610_001610__closest_to_center_5.jpg", "question": "Which car is closest to the center of the image?", "A": "373,706", "B": "367,709", "C": "239,712", "D": "402,706"} +{"index": 895, "question_id": "001615__relation_nearest_to_unique_2", "image_path": "images_annotated/001615_001615__relation_nearest_to_unique_2.jpg", "question": "Find the car closest to the person.", "A": "854,652", "B": "964,636", "C": "980,631", "D": "901,657"} +{"index": 896, "question_id": "001615__leftmost_in_class_4", "image_path": "images_annotated/001615_001615__leftmost_in_class_4.jpg", "question": "Point to the leftmost car in the row of vehicles on the left.", "A": "194,713", "B": "162,714", "C": "234,715", "D": "366,712"} +{"index": 897, "question_id": "001615__pair_size_6", "image_path": "images_annotated/001615_001615__pair_size_6.jpg", "question": "Find the larger of the two heavy trucks.", "A": "806,640", "B": "162,714", "C": "119,664", "D": "194,713"} +{"index": 898, "question_id": "001620__leftmost_in_class_2", "image_path": "images_annotated/001620_001620__leftmost_in_class_2.jpg", "question": "Where is the leftmost car on the road?", "A": "189,712", "B": "229,716", "C": "152,712", "D": "365,711"} +{"index": 899, "question_id": "001620__relation_nearest_to_unique_5", "image_path": "images_annotated/001620_001620__relation_nearest_to_unique_5.jpg", "question": "Point to the heavy truck nearest to the person.", "A": "92,659", "B": "817,636", "C": "915,655", "D": "928,647"} +{"index": 900, "question_id": "001620__largest_in_class_1", "image_path": "images_annotated/001620_001620__largest_in_class_1.jpg", "question": "Which vehicle is the largest in the scene?", "A": "92,659", "B": "817,636", "C": "152,712", "D": "189,712"} +{"index": 901, "question_id": "001625__largest_in_class_1", "image_path": "images_annotated/001625_001625__largest_in_class_1.jpg", "question": "Which heavy truck is the largest in the scene?", "A": "830,632", "B": "144,712", "C": "59,656", "D": "185,711"} +{"index": 902, "question_id": "001625__relation_nearest_to_unique_3", "image_path": "images_annotated/001625_001625__relation_nearest_to_unique_3.jpg", "question": "Find the heavy truck that is nearest to the person.", "A": "59,656", "B": "830,632", "C": "880,650", "D": "929,651"} +{"index": 903, "question_id": "001625__quadrant_hint_0", "image_path": "images_annotated/001625_001625__quadrant_hint_0.jpg", "question": "Where is the person standing on the grass by the food truck?", "A": "943,644", "B": "929,651", "C": "984,628", "D": "880,650"} +{"index": 904, "question_id": "001630__relation_right_of_unique_4", "image_path": "images_annotated/001630_001630__relation_right_of_unique_4.jpg", "question": "Where is the car to the right of the person?", "A": "939,651", "B": "990,626", "C": "898,650", "D": "400,710"} +{"index": 905, "question_id": "001630__largest_in_class_3", "image_path": "images_annotated/001630_001630__largest_in_class_3.jpg", "question": "Which is the largest vehicle in the image?", "A": "843,631", "B": "138,713", "C": "177,714", "D": "33,653"} +{"index": 906, "question_id": "001635__relation_nearest_to_unique_3", "image_path": "images_annotated/001635_001635__relation_nearest_to_unique_3.jpg", "question": "Find the car nearest to the person on the right.", "A": "954,649", "B": "995,629", "C": "913,649", "D": "399,711"} +{"index": 907, "question_id": "001635__closest_to_center_2", "image_path": "images_annotated/001635_001635__closest_to_center_2.jpg", "question": "Point to the car nearest to the center of the image.", "A": "368,712", "B": "361,713", "C": "215,719", "D": "399,711"} +{"index": 908, "question_id": "001635__pair_left_right_1", "image_path": "images_annotated/001635_001635__pair_left_right_1.jpg", "question": "Find the person on the left side of the pair.", "A": "975,640", "B": "884,664", "C": "913,649", "D": "856,630"} +{"index": 909, "question_id": "001640__rightmost_in_class_1", "image_path": "images_annotated/001640_001640__rightmost_in_class_1.jpg", "question": "Which car is positioned furthest to the right?", "A": "931,644", "B": "968,646", "C": "428,706", "D": "399,710"} +{"index": 910, "question_id": "001640__quadrant_hint_0", "image_path": "images_annotated/001640_001640__quadrant_hint_0.jpg", "question": "Find the brown truck on the right side of the road.", "A": "901,661", "B": "931,644", "C": "968,646", "D": "870,627"} +{"index": 911, "question_id": "001640__relation_nearest_to_unique_2", "image_path": "images_annotated/001640_001640__relation_nearest_to_unique_2.jpg", "question": "Which person is closest to the heavy truck?", "A": "901,661", "B": "992,638", "C": "931,644", "D": "870,627"} +{"index": 912, "question_id": "001645__largest_in_class_6", "image_path": "images_annotated/001645_001645__largest_in_class_6.jpg", "question": "Point to the largest car on the far right of the image.", "A": "946,645", "B": "980,646", "C": "429,706", "D": "399,711"} +{"index": 913, "question_id": "001645__relation_nearest_to_unique_1", "image_path": "images_annotated/001645_001645__relation_nearest_to_unique_1.jpg", "question": "Which car is closest to the person standing near the large brown truck?", "A": "980,646", "B": "429,706", "C": "399,711", "D": "946,645"} +{"index": 914, "question_id": "001645__closest_to_center_4", "image_path": "images_annotated/001645_001645__closest_to_center_4.jpg", "question": "Find the car closest to the center of the image.", "A": "399,711", "B": "429,706", "C": "379,707", "D": "366,712"} +{"index": 915, "question_id": "001650__relation_nearest_to_unique_5", "image_path": "images_annotated/001650_001650__relation_nearest_to_unique_5.jpg", "question": "Point to the car nearest to the person on the right.", "A": "960,644", "B": "988,644", "C": "429,707", "D": "398,712"} +{"index": 916, "question_id": "001650__leftmost_in_class_0", "image_path": "images_annotated/001650_001650__leftmost_in_class_0.jpg", "question": "Point to the leftmost car on the road.", "A": "155,717", "B": "199,719", "C": "111,715", "D": "356,717"} +{"index": 917, "question_id": "001650__unique_class_8", "image_path": "images_annotated/001650_001650__unique_class_8.jpg", "question": "Where is the heavy truck parked on the right?", "A": "931,660", "B": "900,623", "C": "960,644", "D": "988,644"} +{"index": 918, "question_id": "001655__closest_to_center_2", "image_path": "images_annotated/001655_001655__closest_to_center_2.jpg", "question": "Point to the car closest to the center of the image.", "A": "428,707", "B": "397,712", "C": "377,709", "D": "364,714"} +{"index": 919, "question_id": "001655__leftmost_in_class_6", "image_path": "images_annotated/001655_001655__leftmost_in_class_6.jpg", "question": "Point to the leftmost car in the image.", "A": "149,717", "B": "194,719", "C": "104,713", "D": "355,717"} +{"index": 920, "question_id": "001655__unique_class_3", "image_path": "images_annotated/001655_001655__unique_class_3.jpg", "question": "Find the heavy truck on the right side of the road.", "A": "949,656", "B": "977,642", "C": "994,644", "D": "915,620"} +{"index": 921, "question_id": "001660__relation_nearest_to_unique_7", "image_path": "images_annotated/001660_001660__relation_nearest_to_unique_7.jpg", "question": "Point to the car nearest to the person.", "A": "428,708", "B": "397,713", "C": "376,710", "D": "991,640"} +{"index": 922, "question_id": "001660__leftmost_in_class_1", "image_path": "images_annotated/001660_001660__leftmost_in_class_1.jpg", "question": "Point to the leftmost car on the road.", "A": "142,717", "B": "188,719", "C": "96,714", "D": "353,717"} +{"index": 923, "question_id": "001660__quadrant_hint_6", "image_path": "images_annotated/001660_001660__quadrant_hint_6.jpg", "question": "Tap the person on the far right side of the image.", "A": "991,640", "B": "966,655", "C": "929,617", "D": "428,708"} +{"index": 924, "question_id": "001665__rightmost_in_class_4", "image_path": "images_annotated/001665_001665__rightmost_in_class_4.jpg", "question": "Which car is the rightmost one in the image?", "A": "396,715", "B": "376,711", "C": "428,710", "D": "361,716"} +{"index": 925, "question_id": "001665__unique_class_3", "image_path": "images_annotated/001665_001665__unique_class_3.jpg", "question": "Point to the large brown truck on the far right.", "A": "944,615", "B": "983,655", "C": "428,710", "D": "396,715"} +{"index": 926, "question_id": "001665__unique_class_5", "image_path": "images_annotated/001665_001665__unique_class_5.jpg", "question": "Where is the person standing on the sidewalk?", "A": "944,615", "B": "428,710", "C": "396,715", "D": "983,655"} +{"index": 927, "question_id": "001670__leftmost_in_class_0", "image_path": "images_annotated/001670_001670__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the row of parked cars on the left side of the street.", "A": "128,719", "B": "179,723", "C": "81,715", "D": "349,719"} +{"index": 928, "question_id": "001670__largest_in_class_5", "image_path": "images_annotated/001670_001670__largest_in_class_5.jpg", "question": "Find the largest car in the group of vehicles on the left.", "A": "179,723", "B": "128,719", "C": "81,715", "D": "349,719"} +{"index": 929, "question_id": "001670__relation_nearest_to_unique_4", "image_path": "images_annotated/001670_001670__relation_nearest_to_unique_4.jpg", "question": "Which car is closest to the large brown truck on the right?", "A": "427,712", "B": "395,717", "C": "374,714", "D": "359,718"} +{"index": 930, "question_id": "001675__rightmost_in_class_8", "image_path": "images_annotated/001675_001675__rightmost_in_class_8.jpg", "question": "Point to the rightmost car in the image.", "A": "393,719", "B": "426,714", "C": "372,715", "D": "357,719"} +{"index": 931, "question_id": "001675__quadrant_hint_7", "image_path": "images_annotated/001675_001675__quadrant_hint_7.jpg", "question": "Where is the vehicle in the lower right corner?", "A": "958,610", "B": "426,714", "C": "393,719", "D": "372,715"} +{"index": 932, "question_id": "001675__leftmost_in_class_3", "image_path": "images_annotated/001675_001675__leftmost_in_class_3.jpg", "question": "Point to the leftmost car on the street.", "A": "120,720", "B": "167,724", "C": "347,722", "D": "73,716"} +{"index": 933, "question_id": "001680__smallest_in_class_7", "image_path": "images_annotated/001680_001680__smallest_in_class_7.jpg", "question": "Which car appears smallest in the image?", "A": "355,719", "B": "392,719", "C": "345,722", "D": "371,715"} +{"index": 934, "question_id": "001680__relation_nearest_to_unique_4", "image_path": "images_annotated/001680_001680__relation_nearest_to_unique_4.jpg", "question": "Which car is closest to the red traffic light on the right?", "A": "392,719", "B": "371,715", "C": "425,714", "D": "355,719"} +{"index": 935, "question_id": "001680__quadrant_hint_8", "image_path": "images_annotated/001680_001680__quadrant_hint_8.jpg", "question": "Point to the vehicle in the lower right corner.", "A": "425,714", "B": "966,607", "C": "392,719", "D": "371,715"} +{"index": 936, "question_id": "001685__smallest_in_class_7", "image_path": "images_annotated/001685_001685__smallest_in_class_7.jpg", "question": "Find the smallest car among the group.", "A": "353,721", "B": "391,720", "C": "370,717", "D": "342,724"} +{"index": 937, "question_id": "001685__unique_class_1", "image_path": "images_annotated/001685_001685__unique_class_1.jpg", "question": "Point to the large truck on the right.", "A": "424,716", "B": "391,720", "C": "370,717", "D": "972,608"} +{"index": 938, "question_id": "001685__rightmost_in_class_0", "image_path": "images_annotated/001685_001685__rightmost_in_class_0.jpg", "question": "Find the car on the far right side of the road.", "A": "391,720", "B": "424,716", "C": "370,717", "D": "353,721"} +{"index": 939, "question_id": "001690__rightmost_in_class_4", "image_path": "images_annotated/001690_001690__rightmost_in_class_4.jpg", "question": "Where is the rightmost car in the line of traffic?", "A": "389,721", "B": "423,717", "C": "368,717", "D": "351,721"} +{"index": 940, "question_id": "001690__leftmost_in_class_0", "image_path": "images_annotated/001690_001690__leftmost_in_class_0.jpg", "question": "Point to the leftmost car parked on the street.", "A": "98,722", "B": "151,726", "C": "50,718", "D": "340,725"} +{"index": 941, "question_id": "001690__smallest_in_class_6", "image_path": "images_annotated/001690_001690__smallest_in_class_6.jpg", "question": "Tap the smallest car visible in the image.", "A": "351,721", "B": "389,721", "C": "340,725", "D": "368,717"} +{"index": 942, "question_id": "001695__largest_in_class_3", "image_path": "images_annotated/001695_001695__largest_in_class_3.jpg", "question": "Where is the largest car on the road?", "A": "93,722", "B": "143,726", "C": "43,715", "D": "338,721"} +{"index": 943, "question_id": "001695__leftmost_in_class_1", "image_path": "images_annotated/001695_001695__leftmost_in_class_1.jpg", "question": "Which car is the leftmost one in the image?", "A": "93,722", "B": "143,726", "C": "338,721", "D": "43,715"} +{"index": 944, "question_id": "001695__rightmost_in_class_6", "image_path": "images_annotated/001695_001695__rightmost_in_class_6.jpg", "question": "Point to the rightmost car in the image.", "A": "388,719", "B": "367,716", "C": "422,715", "D": "349,720"} +{"index": 945, "question_id": "001700__leftmost_in_class_3", "image_path": "images_annotated/001700_001700__leftmost_in_class_3.jpg", "question": "Which car is the leftmost one parked on the street?", "A": "85,722", "B": "138,726", "C": "36,716", "D": "336,723"} +{"index": 946, "question_id": "001700__rightmost_in_class_4", "image_path": "images_annotated/001700_001700__rightmost_in_class_4.jpg", "question": "Point to the car that is farthest to the right in the scene.", "A": "387,719", "B": "421,715", "C": "366,715", "D": "348,720"} +{"index": 947, "question_id": "001700__smallest_in_class_6", "image_path": "images_annotated/001700_001700__smallest_in_class_6.jpg", "question": "Which car is the smallest one in the image?", "A": "348,720", "B": "387,719", "C": "336,723", "D": "366,715"} +{"index": 948, "question_id": "001705__relation_nearest_to_unique_1", "image_path": "images_annotated/001705_001705__relation_nearest_to_unique_1.jpg", "question": "Which car is closest to the road sign?", "A": "385,720", "B": "364,716", "C": "420,717", "D": "346,720"} +{"index": 949, "question_id": "001705__leftmost_in_class_7", "image_path": "images_annotated/001705_001705__leftmost_in_class_7.jpg", "question": "Which car is positioned farthest to the left?", "A": "79,722", "B": "29,717", "C": "133,727", "D": "334,725"} +{"index": 950, "question_id": "001705__unique_class_8", "image_path": "images_annotated/001705_001705__unique_class_8.jpg", "question": "Where is the only road sign in the image?", "A": "420,717", "B": "385,720", "C": "680,673", "D": "364,716"} +{"index": 951, "question_id": "001710__relation_nearest_to_unique_2", "image_path": "images_annotated/001710_001710__relation_nearest_to_unique_2.jpg", "question": "Which car is closest to the road sign?", "A": "384,722", "B": "364,717", "C": "420,718", "D": "344,722"} +{"index": 952, "question_id": "001710__leftmost_in_class_0", "image_path": "images_annotated/001710_001710__leftmost_in_class_0.jpg", "question": "Which car is the leftmost one in the scene?", "A": "24,719", "B": "73,724", "C": "128,730", "D": "331,727"} +{"index": 953, "question_id": "001710__unique_class_5", "image_path": "images_annotated/001710_001710__unique_class_5.jpg", "question": "Where is the road sign located?", "A": "420,718", "B": "384,722", "C": "364,717", "D": "683,674"} +{"index": 954, "question_id": "001715__smallest_in_class_2", "image_path": "images_annotated/001715_001715__smallest_in_class_2.jpg", "question": "Which car is the smallest in the scene?", "A": "343,722", "B": "383,722", "C": "330,727", "D": "362,716"} +{"index": 955, "question_id": "001715__leftmost_in_class_6", "image_path": "images_annotated/001715_001715__leftmost_in_class_6.jpg", "question": "Which car is the leftmost in the image?", "A": "68,724", "B": "121,729", "C": "22,718", "D": "330,727"} +{"index": 956, "question_id": "001715__relation_nearest_to_unique_7", "image_path": "images_annotated/001715_001715__relation_nearest_to_unique_7.jpg", "question": "Which car is nearest to the person?", "A": "419,718", "B": "383,722", "C": "362,716", "D": "343,722"} +{"index": 957, "question_id": "001720__largest_in_class_4", "image_path": "images_annotated/001720_001720__largest_in_class_4.jpg", "question": "Find the largest car on the left side of the road.", "A": "62,723", "B": "116,729", "C": "19,717", "D": "328,727"} +{"index": 958, "question_id": "001720__smallest_in_class_5", "image_path": "images_annotated/001720_001720__smallest_in_class_5.jpg", "question": "Which car is the smallest in the group?", "A": "341,721", "B": "382,721", "C": "328,727", "D": "361,718"} +{"index": 959, "question_id": "001720__quadrant_hint_3", "image_path": "images_annotated/001720_001720__quadrant_hint_3.jpg", "question": "Where is the person standing on the far right?", "A": "419,717", "B": "382,721", "C": "683,706", "D": "361,718"} +{"index": 960, "question_id": "001725__smallest_in_class_0", "image_path": "images_annotated/001725_001725__smallest_in_class_0.jpg", "question": "Which car is the smallest one on the road?", "A": "340,720", "B": "381,719", "C": "327,725", "D": "359,715"} +{"index": 961, "question_id": "001725__largest_in_class_5", "image_path": "images_annotated/001725_001725__largest_in_class_5.jpg", "question": "Find the largest car in the image.", "A": "58,722", "B": "112,726", "C": "16,716", "D": "327,725"} +{"index": 962, "question_id": "001725__quadrant_hint_6", "image_path": "images_annotated/001725_001725__quadrant_hint_6.jpg", "question": "Where is the object in the lower right quadrant?", "A": "686,699", "B": "418,716", "C": "586,681", "D": "381,719"} +{"index": 963, "question_id": "001730__leftmost_in_class_7", "image_path": "images_annotated/001730_001730__leftmost_in_class_7.jpg", "question": "Tap the leftmost car.", "A": "52,721", "B": "107,727", "C": "16,715", "D": "325,721"} +{"index": 964, "question_id": "001730__smallest_in_class_2", "image_path": "images_annotated/001730_001730__smallest_in_class_2.jpg", "question": "Find the smallest car in the scene.", "A": "379,719", "B": "359,714", "C": "339,720", "D": "325,721"} +{"index": 965, "question_id": "001730__rightmost_in_class_0", "image_path": "images_annotated/001730_001730__rightmost_in_class_0.jpg", "question": "Point to the rightmost car in the image.", "A": "417,716", "B": "379,719", "C": "359,714", "D": "339,720"} +{"index": 966, "question_id": "001735__relation_nearest_to_unique_4", "image_path": "images_annotated/001735_001735__relation_nearest_to_unique_4.jpg", "question": "Which car is closest to the rider?", "A": "379,719", "B": "358,713", "C": "338,719", "D": "417,715"} +{"index": 967, "question_id": "001735__leftmost_in_class_0", "image_path": "images_annotated/001735_001735__leftmost_in_class_0.jpg", "question": "Point to the leftmost car on the road.", "A": "50,721", "B": "104,726", "C": "13,714", "D": "323,719"} +{"index": 968, "question_id": "001735__unique_class_1", "image_path": "images_annotated/001735_001735__unique_class_1.jpg", "question": "Find the only person riding a bike in the image.", "A": "596,682", "B": "417,715", "C": "379,719", "D": "358,713"} +{"index": 969, "question_id": "001740__relation_nearest_to_unique_6", "image_path": "images_annotated/001740_001740__relation_nearest_to_unique_6.jpg", "question": "Point to the car nearest to the person.", "A": "416,715", "B": "378,719", "C": "357,714", "D": "336,719"} +{"index": 970, "question_id": "001740__largest_in_class_3", "image_path": "images_annotated/001740_001740__largest_in_class_3.jpg", "question": "Find the largest car on the road.", "A": "44,721", "B": "101,726", "C": "10,717", "D": "321,725"} +{"index": 971, "question_id": "001740__smallest_in_class_5", "image_path": "images_annotated/001740_001740__smallest_in_class_5.jpg", "question": "Where is the smallest car in the image?", "A": "336,719", "B": "378,719", "C": "357,714", "D": "321,725"} +{"index": 972, "question_id": "001745__quadrant_hint_0", "image_path": "images_annotated/001745_001745__quadrant_hint_0.jpg", "question": "Find the person on the far right of the image.", "A": "605,682", "B": "416,715", "C": "689,698", "D": "378,719"} +{"index": 973, "question_id": "001745__unique_class_1", "image_path": "images_annotated/001745_001745__unique_class_1.jpg", "question": "Where is the person riding a bike?", "A": "605,682", "B": "689,698", "C": "416,715", "D": "378,719"} +{"index": 974, "question_id": "001750__rightmost_in_class_1", "image_path": "images_annotated/001750_001750__rightmost_in_class_1.jpg", "question": "Which car is on the far right of the road?", "A": "376,719", "B": "415,715", "C": "355,713", "D": "334,719"} +{"index": 975, "question_id": "001750__largest_in_class_4", "image_path": "images_annotated/001750_001750__largest_in_class_4.jpg", "question": "Which car is the largest in the scene?", "A": "35,719", "B": "318,724", "C": "92,725", "D": "334,719"} +{"index": 976, "question_id": "001750__quadrant_hint_5", "image_path": "images_annotated/001750_001750__quadrant_hint_5.jpg", "question": "Find the object in the lower right quadrant.", "A": "415,715", "B": "376,719", "C": "355,713", "D": "610,681"} +{"index": 977, "question_id": "001755__smallest_in_class_2", "image_path": "images_annotated/001755_001755__smallest_in_class_2.jpg", "question": "Which car is the smallest one on the road?", "A": "333,719", "B": "376,719", "C": "317,723", "D": "354,713"} +{"index": 978, "question_id": "001755__rightmost_in_class_3", "image_path": "images_annotated/001755_001755__rightmost_in_class_3.jpg", "question": "Which car is the rightmost one in the image?", "A": "376,719", "B": "414,716", "C": "354,713", "D": "333,719"} +{"index": 979, "question_id": "001755__unique_class_4", "image_path": "images_annotated/001755_001755__unique_class_4.jpg", "question": "Where is the only person riding a bike in the scene?", "A": "615,679", "B": "690,703", "C": "414,716", "D": "376,719"} +{"index": 980, "question_id": "001760__relation_nearest_to_unique_4", "image_path": "images_annotated/001760_001760__relation_nearest_to_unique_4.jpg", "question": "Which car is closest to the person on the right?", "A": "375,719", "B": "354,712", "C": "331,719", "D": "414,715"} +{"index": 981, "question_id": "001760__largest_in_class_1", "image_path": "images_annotated/001760_001760__largest_in_class_1.jpg", "question": "Find the largest car in the image.", "A": "29,718", "B": "316,723", "C": "86,723", "D": "331,719"} +{"index": 982, "question_id": "001760__smallest_in_class_5", "image_path": "images_annotated/001760_001760__smallest_in_class_5.jpg", "question": "Find the smallest car in the image.", "A": "375,719", "B": "354,712", "C": "331,719", "D": "316,723"} +{"index": 983, "question_id": "001765__largest_in_class_1", "image_path": "images_annotated/001765_001765__largest_in_class_1.jpg", "question": "Find the largest car on the left side of the road.", "A": "81,723", "B": "27,717", "C": "316,725", "D": "331,719"} +{"index": 984, "question_id": "001765__leftmost_in_class_0", "image_path": "images_annotated/001765_001765__leftmost_in_class_0.jpg", "question": "Point to the leftmost car in the image.", "A": "81,723", "B": "316,725", "C": "27,717", "D": "331,719"} +{"index": 985, "question_id": "001765__smallest_in_class_4", "image_path": "images_annotated/001765_001765__smallest_in_class_4.jpg", "question": "Where is the smallest car in the image?", "A": "374,719", "B": "331,719", "C": "316,725", "D": "353,711"} +{"index": 986, "question_id": "001770__quadrant_hint_1", "image_path": "images_annotated/001770_001770__quadrant_hint_1.jpg", "question": "Where is the rider located in the lower right quadrant?", "A": "631,680", "B": "631,717", "C": "689,706", "D": "413,716"} +{"index": 987, "question_id": "001770__unique_class_2", "image_path": "images_annotated/001770_001770__unique_class_2.jpg", "question": "Point to the person walking on the far right.", "A": "631,717", "B": "631,680", "C": "413,716", "D": "689,706"} +{"index": 988, "question_id": "001775__quadrant_hint_0", "image_path": "images_annotated/001775_001775__quadrant_hint_0.jpg", "question": "Where is the rider in the lower right corner?", "A": "637,719", "B": "412,716", "C": "373,719", "D": "636,679"} +{"index": 989, "question_id": "001775__relation_nearest_to_unique_1", "image_path": "images_annotated/001775_001775__relation_nearest_to_unique_1.jpg", "question": "Where is the rider nearest to the cyclist?", "A": "636,679", "B": "637,719", "C": "412,716", "D": "373,719"} +{"index": 990, "question_id": "001780__largest_in_class_1", "image_path": "images_annotated/001780_001780__largest_in_class_1.jpg", "question": "Find the largest car in the image.", "A": "74,721", "B": "23,713", "C": "312,723", "D": "329,719"} +{"index": 991, "question_id": "001780__leftmost_in_class_0", "image_path": "images_annotated/001780_001780__leftmost_in_class_0.jpg", "question": "Which car is the leftmost one in the image?", "A": "74,721", "B": "23,713", "C": "312,723", "D": "329,719"} +{"index": 992, "question_id": "001780__unique_class_3", "image_path": "images_annotated/001780_001780__unique_class_3.jpg", "question": "Where is the cyclist riding across the street?", "A": "642,678", "B": "685,706", "C": "412,717", "D": "644,719"} +{"index": 993, "question_id": "001785__leftmost_in_class_2", "image_path": "images_annotated/001785_001785__leftmost_in_class_2.jpg", "question": "Point to the leftmost car on the street.", "A": "22,714", "B": "74,720", "C": "311,725", "D": "328,719"} +{"index": 994, "question_id": "001785__largest_in_class_3", "image_path": "images_annotated/001785_001785__largest_in_class_3.jpg", "question": "Find the largest car on the left side of the road.", "A": "22,714", "B": "74,720", "C": "311,725", "D": "328,719"} +{"index": 995, "question_id": "001785__quadrant_hint_6", "image_path": "images_annotated/001785_001785__quadrant_hint_6.jpg", "question": "Find the person in the lower right corner of the image.", "A": "649,720", "B": "648,681", "C": "412,717", "D": "683,711"} +{"index": 996, "question_id": "001790__largest_in_class_2", "image_path": "images_annotated/001790_001790__largest_in_class_2.jpg", "question": "Find the largest car on the road.", "A": "21,714", "B": "311,726", "C": "328,719", "D": "73,720"} +{"index": 997, "question_id": "001790__rightmost_in_class_6", "image_path": "images_annotated/001790_001790__rightmost_in_class_6.jpg", "question": "Where is the rightmost car in the image?", "A": "371,720", "B": "412,718", "C": "351,713", "D": "328,719"} +{"index": 998, "question_id": "001790__leftmost_in_class_1", "image_path": "images_annotated/001790_001790__leftmost_in_class_1.jpg", "question": "Point to the leftmost car in the image.", "A": "21,714", "B": "73,720", "C": "311,726", "D": "328,719"} +{"index": 999, "question_id": "001795__leftmost_in_class_1", "image_path": "images_annotated/001795_001795__leftmost_in_class_1.jpg", "question": "Which car is the leftmost one in the scene?", "A": "71,720", "B": "310,725", "C": "21,714", "D": "328,719"} +{"index": 1000, "question_id": "001795__unique_class_2", "image_path": "images_annotated/001795_001795__unique_class_2.jpg", "question": "Point to the rider on the bicycle.", "A": "663,725", "B": "662,679", "C": "412,718", "D": "371,721"} +{"index": 1001, "question_id": "001795__quadrant_hint_0", "image_path": "images_annotated/001795_001795__quadrant_hint_0.jpg", "question": "Where is the cyclist on the right side of the road?", "A": "662,679", "B": "412,718", "C": "663,725", "D": "371,721"} +{"index": 1002, "question_id": "001800__smallest_in_class_0", "image_path": "images_annotated/001800_001800__smallest_in_class_0.jpg", "question": "Which car is the smallest in the scene?", "A": "371,720", "B": "327,719", "C": "350,712", "D": "310,724"} +{"index": 1003, "question_id": "001800__rightmost_in_class_2", "image_path": "images_annotated/001800_001800__rightmost_in_class_2.jpg", "question": "Which car is positioned furthest to the right?", "A": "411,717", "B": "371,720", "C": "350,712", "D": "327,719"} +{"index": 1004, "question_id": "001800__relation_nearest_to_unique_4", "image_path": "images_annotated/001800_001800__relation_nearest_to_unique_4.jpg", "question": "Which object is nearest to the rider?", "A": "671,725", "B": "671,681", "C": "411,717", "D": "371,720"} diff --git a/data/pointing/Vantage2DPointing.tsv b/data/pointing/Vantage2DPointing.tsv deleted file mode 100644 index c8f17d1745648b3383dd6ad371c54e39582438e8..0000000000000000000000000000000000000000 --- a/data/pointing/Vantage2DPointing.tsv +++ /dev/null @@ -1,1006 +0,0 @@ -index question_id image_path question A B C D -0 000000__largest_in_class_2 images_annotated/000000_000000__largest_in_class_2.jpg Point to the largest car in the image. 710,780 742,775 643,779 762,771 -1 000000__rightmost_in_class_0 images_annotated/000000_000000__rightmost_in_class_0.jpg Which is the rightmost car in the scene? 1832,721 799,777 762,771 742,775 -2 000000__pair_size_3 images_annotated/000000_000000__pair_size_3.jpg Find the larger of the two people walking on the sidewalk. 1505,557 1831,721 799,777 1392,794 -3 000005__largest_in_class_0 images_annotated/000005_000005__largest_in_class_0.jpg Which car is the largest in the scene? 710,781 741,775 643,779 761,771 -4 000005__pair_size_9 images_annotated/000005_000005__pair_size_9.jpg Point to the larger of the two people walking on the sidewalk. 1404,794 1392,795 1505,557 1831,721 -5 000005__rightmost_in_class_10 images_annotated/000005_000005__rightmost_in_class_10.jpg Tap the rightmost car in the scene. 1832,721 799,777 761,771 741,775 -6 000010__largest_in_class_0 images_annotated/000010_000010__largest_in_class_0.jpg Which car is the largest in the scene? 710,781 741,775 761,771 643,779 -7 000010__rightmost_in_class_2 images_annotated/000010_000010__rightmost_in_class_2.jpg Which car is the rightmost one? 799,777 1832,721 761,771 741,775 -8 000010__quadrant_hint_4 images_annotated/000010_000010__quadrant_hint_4.jpg Where is the road sign located in the lower right? 1505,557 1403,794 1831,721 799,777 -9 000015__largest_in_class_10 images_annotated/000015_000015__largest_in_class_10.jpg Which person is the largest in the pair walking on the sidewalk? 1505,557 1392,795 1832,721 799,777 -10 000015__pair_size_8 images_annotated/000015_000015__pair_size_8.jpg Find the smaller person in the pair walking on the sidewalk. 1402,795 1505,557 1832,721 799,777 -11 000020__rightmost_in_class_2 images_annotated/000020_000020__rightmost_in_class_2.jpg Tap the rightmost car in the scene. 799,777 1832,721 761,771 741,776 -12 000020__pair_size_4 images_annotated/000020_000020__pair_size_4.jpg Which person is the larger of the two walking together? 1505,556 1831,721 799,777 1396,795 -13 000020__quadrant_hint_1 images_annotated/000020_000020__quadrant_hint_1.jpg Where is the road sign located in the lower right quadrant? 1505,556 1406,795 1831,721 799,777 -14 000025__relation_nearest_to_unique_4 images_annotated/000025_000025__relation_nearest_to_unique_4.jpg Which car is nearest to the person on the sidewalk? 762,771 743,776 709,781 799,777 -15 000025__pair_size_1 images_annotated/000025_000025__pair_size_1.jpg Which person is the larger of the two standing on the sidewalk? 1504,556 1404,796 799,777 762,771 -16 000025__pair_size_2 images_annotated/000025_000025__pair_size_2.jpg Which person is the smaller of the two standing on the sidewalk? 1411,796 1504,556 799,777 762,771 -17 000030__quadrant_hint_0 images_annotated/000030_000030__quadrant_hint_0.jpg Point to the car on the far right side of the road. 799,777 1832,721 762,772 741,776 -18 000030__smallest_in_class_2 images_annotated/000030_000030__smallest_in_class_2.jpg Find the smallest person in the image. 1505,559 1070,707 1415,796 1831,721 -19 000030__largest_in_class_1 images_annotated/000030_000030__largest_in_class_1.jpg Find the largest person in the image. 1505,559 1407,796 1070,707 1831,721 -20 000035__unique_class_0 images_annotated/000035_000035__unique_class_0.jpg Point to the road sign on the pole. 1422,796 1831,721 799,777 1505,559 -21 000035__relation_nearest_to_unique_2 images_annotated/000035_000035__relation_nearest_to_unique_2.jpg Which person is closest to the road sign? 1505,559 1831,721 1423,796 799,777 -22 000035__pair_size_1 images_annotated/000035_000035__pair_size_1.jpg Find the larger of the two people walking on the sidewalk. 1505,559 1831,721 1413,796 799,777 -23 000040__relation_nearest_to_unique_1 images_annotated/000040_000040__relation_nearest_to_unique_1.jpg Find the car nearest to the road sign. 799,777 1832,721 762,771 741,776 -24 000040__unique_class_0 images_annotated/000040_000040__unique_class_0.jpg Point to the road sign on the pole. 1426,793 1831,721 1505,559 799,777 -25 000040__largest_in_class_3 images_annotated/000040_000040__largest_in_class_3.jpg Find the largest car in the image. 643,779 708,780 741,776 762,771 -26 000045__largest_in_class_0 images_annotated/000045_000045__largest_in_class_0.jpg Which car is the largest in the line of traffic? 643,780 709,780 742,775 762,771 -27 000045__leftmost_in_class_1 images_annotated/000045_000045__leftmost_in_class_1.jpg Which car is the leftmost in the traffic line? 643,780 709,780 742,775 79,755 -28 000045__pair_size_6 images_annotated/000045_000045__pair_size_6.jpg Point to the larger of the two people on the sidewalk. 1423,796 1505,559 1831,721 799,777 -29 000050__relation_nearest_to_unique_2 images_annotated/000050_000050__relation_nearest_to_unique_2.jpg Which car is nearest to the road sign? 1832,722 799,777 762,771 742,775 -30 000050__largest_in_class_4 images_annotated/000050_000050__largest_in_class_4.jpg Which car is the largest one in the image? 710,781 742,775 643,781 762,771 -31 000050__quadrant_hint_3 images_annotated/000050_000050__quadrant_hint_3.jpg Point to the road sign in the lower right. 1438,797 1831,722 799,777 1503,561 -32 000055__largest_in_class_6 images_annotated/000055_000055__largest_in_class_6.jpg Which car is the largest in the left lane? 709,780 742,776 762,771 645,780 -33 000055__pair_size_4 images_annotated/000055_000055__pair_size_4.jpg Which person is the larger of the two standing on the sidewalk? 1504,559 1432,798 1831,721 799,776 -34 000055__quadrant_hint_3 images_annotated/000055_000055__quadrant_hint_3.jpg Find the road sign on the right side of the street. 1503,559 1441,796 1831,721 799,776 -35 000060__smallest_in_class_10 images_annotated/000060_000060__smallest_in_class_10.jpg Which person is the smallest in the pair on the right? 1439,798 1505,559 1452,797 1832,721 -36 000060__largest_in_class_5 images_annotated/000060_000060__largest_in_class_5.jpg Which car is the largest in the group on the left side of the road? 710,780 643,780 742,776 763,771 -37 000060__pair_size_9 images_annotated/000060_000060__pair_size_9.jpg Point to the larger person standing on the right sidewalk. 1451,797 1505,559 1438,798 1832,721 -38 000065__pair_size_4 images_annotated/000065_000065__pair_size_4.jpg Which person is the larger one in the pair? 1504,560 799,777 1446,798 762,771 -39 000065__largest_in_class_1 images_annotated/000065_000065__largest_in_class_1.jpg Which car is the largest in the image? 643,779 708,781 742,775 762,771 -40 000065__relation_nearest_to_unique_3 images_annotated/000065_000065__relation_nearest_to_unique_3.jpg Which person is closest to the road sign? 1504,560 799,777 1455,799 762,771 -41 000070__relation_nearest_to_unique_3 images_annotated/000070_000070__relation_nearest_to_unique_3.jpg Which car is nearest to the road sign? 799,777 763,771 742,775 1832,721 -42 000070__unique_class_0 images_annotated/000070_000070__unique_class_0.jpg Point to the road sign on the traffic light pole. 1503,559 1462,797 1831,721 799,777 -43 000070__relation_nearest_to_unique_4 images_annotated/000070_000070__relation_nearest_to_unique_4.jpg Which person is closest to the road sign? 1504,559 1831,721 1461,797 799,777 -44 000075__rightmost_in_class_8 images_annotated/000075_000075__rightmost_in_class_8.jpg Which car is the rightmost one in the image? 1832,721 799,777 762,771 743,775 -45 000075__largest_in_class_5 images_annotated/000075_000075__largest_in_class_5.jpg Which person is the largest in the scene? 1504,559 1459,799 1832,721 799,777 -46 000080__relation_nearest_to_unique_4 images_annotated/000080_000080__relation_nearest_to_unique_4.jpg Which car is nearest to the road sign? 1832,721 799,777 762,771 743,776 -47 000080__smallest_in_class_2 images_annotated/000080_000080__smallest_in_class_2.jpg Which person is the smallest in the image? 1504,559 1831,721 799,777 1471,799 -48 000080__pair_size_3 images_annotated/000080_000080__pair_size_3.jpg Where is the larger person in the pair? 1504,559 1463,800 1831,721 799,777 -49 000085__largest_in_class_7 images_annotated/000085_000085__largest_in_class_7.jpg Which person is the largest on the right side of the road? 1505,559 1831,721 799,777 1469,800 -50 000085__relation_nearest_to_unique_5 images_annotated/000085_000085__relation_nearest_to_unique_5.jpg Point to the person standing on the right side of the crosswalk. 1478,799 1505,559 1831,721 799,777 -51 000090__relation_nearest_to_unique_6 images_annotated/000090_000090__relation_nearest_to_unique_6.jpg Which person is closest to the road sign? 1505,557 1473,800 1831,721 799,777 -52 000090__quadrant_hint_8 images_annotated/000090_000090__quadrant_hint_8.jpg Point to the road sign in the lower right quadrant. 1505,557 1472,800 1831,721 799,777 -53 000095__quadrant_hint_2 images_annotated/000095_000095__quadrant_hint_2.jpg Point to the car in the lower right quadrant. 800,777 762,772 1832,721 741,776 -54 000095__smallest_in_class_3 images_annotated/000095_000095__smallest_in_class_3.jpg Where is the smallest person in the image? 1505,557 1831,721 800,777 1488,801 -55 000095__unique_class_4 images_annotated/000095_000095__unique_class_4.jpg Tap the road sign on the pole. 1479,800 1831,721 1505,557 800,777 -56 000100__largest_in_class_3 images_annotated/000100_000100__largest_in_class_3.jpg Which car is the largest in the group on the left side of the road? 709,781 643,780 742,775 762,772 -57 000100__pair_size_5 images_annotated/000100_000100__pair_size_5.jpg Which person is the larger of the two standing together on the right? 1504,557 1831,721 1484,802 800,777 -58 000100__rightmost_in_class_7 images_annotated/000100_000100__rightmost_in_class_7.jpg Which car is the rightmost one in the image? 800,777 762,772 742,775 1832,721 -59 000105__largest_in_class_0 images_annotated/000105_000105__largest_in_class_0.jpg Which car is the largest in the scene? 707,781 643,780 740,776 761,771 -60 000105__quadrant_hint_8 images_annotated/000105_000105__quadrant_hint_8.jpg Point to the car on the far right side of the image. 798,777 761,771 1832,721 740,776 -61 000105__smallest_in_class_3 images_annotated/000105_000105__smallest_in_class_3.jpg Find the smallest car in the image. 25,740 47,746 76,756 644,780 -62 000110__relation_left_of_unique_2 images_annotated/000110_000110__relation_left_of_unique_2.jpg Where is the person standing to the left of the other person? 1506,804 1504,557 1831,721 1494,804 -63 000110__unique_class_0 images_annotated/000110_000110__unique_class_0.jpg Point to the road sign on the traffic light pole. 1503,557 1506,804 1494,804 1831,721 -64 000115__relation_right_of_unique_3 images_annotated/000115_000115__relation_right_of_unique_3.jpg Point to the person on the right side of the pair. 1505,559 1511,803 1831,721 799,777 -65 000115__largest_in_class_4 images_annotated/000115_000115__largest_in_class_4.jpg Which person is the largest in the image? 1505,559 1831,721 799,777 1501,804 -66 000120__rightmost_in_class_0 images_annotated/000120_000120__rightmost_in_class_0.jpg Find the rightmost car in the scene. 799,777 762,772 1832,722 739,776 -67 000120__unique_class_1 images_annotated/000120_000120__unique_class_1.jpg Where is the road sign in the image? 1503,559 1509,804 1523,804 1831,722 -68 000120__largest_in_class_2 images_annotated/000120_000120__largest_in_class_2.jpg Which car is the largest in the image? 704,781 739,776 762,772 643,780 -69 000125__largest_in_class_3 images_annotated/000125_000125__largest_in_class_3.jpg Find the largest person on the sidewalk. 1513,805 1527,806 1505,557 799,776 -70 000125__relation_nearest_to_unique_5 images_annotated/000125_000125__relation_nearest_to_unique_5.jpg Point to the car that is nearest to the person on the sidewalk. 760,772 739,776 799,777 701,781 -71 000125__pair_size_0 images_annotated/000125_000125__pair_size_0.jpg Which person is the smaller one standing on the sidewalk? 1513,805 1505,557 1526,806 799,776 -72 000130__largest_in_class_5 images_annotated/000130_000130__largest_in_class_5.jpg Find the largest car in the line of traffic. 701,782 643,780 739,776 761,772 -73 000130__smallest_in_class_3 images_annotated/000130_000130__smallest_in_class_3.jpg Which person is the smallest in the image? 1532,804 1505,560 1831,721 799,776 -74 000130__pair_size_2 images_annotated/000130_000130__pair_size_2.jpg Which person is the larger of the two standing on the sidewalk? 1505,560 1831,721 1526,804 799,776 -75 000135__rightmost_in_class_1 images_annotated/000135_000135__rightmost_in_class_1.jpg Which car is the rightmost one in the scene? 1832,721 798,778 761,771 737,776 -76 000135__relation_nearest_to_unique_0 images_annotated/000135_000135__relation_nearest_to_unique_0.jpg Find the car nearest to the person with the umbrella. 1504,556 1831,721 798,778 1538,806 -77 000140__relation_nearest_to_unique_9 images_annotated/000140_000140__relation_nearest_to_unique_9.jpg Find the road sign nearest to the person with the umbrella. 1505,559 1831,721 1513,683 798,778 -78 000140__quadrant_hint_2 images_annotated/000140_000140__quadrant_hint_2.jpg Where is the road sign in the lower right quadrant? 1544,806 1505,559 1831,721 798,778 -79 000145__smallest_in_class_2 images_annotated/000145_000145__smallest_in_class_2.jpg Find the smallest person in the image. 1556,804 1505,559 1831,721 1569,804 -80 000145__largest_in_class_1 images_annotated/000145_000145__largest_in_class_1.jpg Where is the largest person in the scene? 1568,804 1505,559 1831,721 1555,804 -81 000150__largest_in_class_1 images_annotated/000150_000150__largest_in_class_1.jpg Which car is the largest in the group? 733,776 760,772 797,778 685,784 -82 000150__relation_nearest_to_unique_5 images_annotated/000150_000150__relation_nearest_to_unique_5.jpg Which person is closest to the road sign? 1504,556 1831,721 1572,806 797,778 -83 000150__pair_size_4 images_annotated/000150_000150__pair_size_4.jpg Which person is the smaller of the two? 1504,556 1580,806 1831,721 797,778 -84 000155__smallest_in_class_1 images_annotated/000155_000155__smallest_in_class_1.jpg Which car is the smallest in the image? 730,778 760,773 797,780 681,786 -85 000155__quadrant_hint_0 images_annotated/000155_000155__quadrant_hint_0.jpg Point to the car on the far right side of the road. 797,780 760,773 1832,723 730,778 -86 000155__unique_class_2 images_annotated/000155_000155__unique_class_2.jpg Where is the road sign in the scene? 1578,807 1831,722 797,780 1505,561 -87 000160__largest_in_class_1 images_annotated/000160_000160__largest_in_class_1.jpg Which car is the largest in the group on the left side of the road? 638,782 731,778 758,773 676,786 -88 000160__rightmost_in_class_4 images_annotated/000160_000160__rightmost_in_class_4.jpg Find the rightmost car in the image. 1832,723 796,779 758,773 731,778 -89 000160__quadrant_hint_5 images_annotated/000160_000160__quadrant_hint_5.jpg Which road sign is in the lower-right section of the image? 1600,808 1832,723 1507,561 796,779 -90 000165__rightmost_in_class_0 images_annotated/000165_000165__rightmost_in_class_0.jpg Point to the rightmost car in the scene. 794,781 759,774 729,780 1832,723 -91 000165__unique_class_1 images_annotated/000165_000165__unique_class_1.jpg Where is the person standing on the sidewalk? 1832,723 1509,560 794,781 1617,810 -92 000170__largest_in_class_1 images_annotated/000170_000170__largest_in_class_1.jpg Which car is the largest in the scene? 664,789 729,780 757,774 793,782 -93 000170__pair_size_5 images_annotated/000170_000170__pair_size_5.jpg Which person is the larger of the two walking together? 1833,723 1619,812 1513,559 793,782 -94 000170__quadrant_hint_4 images_annotated/000170_000170__quadrant_hint_4.jpg Where is the road sign located in the lower right quadrant? 1619,812 1833,723 793,782 1513,559 -95 000175__quadrant_hint_0 images_annotated/000175_000175__quadrant_hint_0.jpg Point to the car in the lower right corner of the image. 794,786 756,778 1834,725 728,784 -96 000175__largest_in_class_3 images_annotated/000175_000175__largest_in_class_3.jpg Which car is the largest in the scene? 700,774 728,784 756,778 657,794 -97 000180__rightmost_in_class_0 images_annotated/000180_000180__rightmost_in_class_0.jpg Find the rightmost car in the scene. 792,788 754,777 726,785 1836,728 -98 000180__largest_in_class_2 images_annotated/000180_000180__largest_in_class_2.jpg Which person is the largest in the image? 1674,819 1835,728 1659,821 1527,560 -99 000185__largest_in_class_5 images_annotated/000185_000185__largest_in_class_5.jpg Point to the largest car on the road. 636,798 699,781 726,786 753,777 -100 000185__quadrant_hint_3 images_annotated/000185_000185__quadrant_hint_3.jpg Which car is in the lower right corner of the image? 791,789 1837,728 753,777 726,786 -101 000185__unique_class_1 images_annotated/000185_000185__unique_class_1.jpg Point to the road sign on the pole near the people. 1680,823 1837,728 791,789 1538,558 -102 000190__pair_size_0 images_annotated/000190_000190__pair_size_0.jpg Point to the smaller person walking on the right side of the pair. 1704,817 1840,729 1551,554 1718,809 -103 000190__largest_in_class_3 images_annotated/000190_000190__largest_in_class_3.jpg Point to the largest car in the left lane. 679,784 697,781 626,801 724,787 -104 000190__relation_nearest_to_unique_1 images_annotated/000190_000190__relation_nearest_to_unique_1.jpg Where is the person standing closest to the white car? 1705,816 1719,809 1840,729 1551,554 -105 000195__relation_nearest_to_unique_10 images_annotated/000195_000195__relation_nearest_to_unique_10.jpg Which car is closest to the person holding an umbrella? 1740,1078 788,790 1841,728 753,777 -106 000195__pair_size_7 images_annotated/000195_000195__pair_size_7.jpg Point to the smaller person standing on the right. 1749,796 1842,728 1740,1078 1570,548 -107 000195__pair_size_11 images_annotated/000195_000195__pair_size_11.jpg Point to the larger person standing on the left. 1842,728 1740,798 1740,1078 1570,548 -108 000200__relation_nearest_to_unique_5 images_annotated/000200_000200__relation_nearest_to_unique_5.jpg Which car is nearest to the person on the right? 1726,1079 786,792 753,778 1839,729 -109 000200__bottommost_in_class_4 images_annotated/000200_000200__bottommost_in_class_4.jpg Which person is at the bottom of the pair? 1783,759 1840,729 1774,789 1726,1079 -110 000200__relation_nearest_to_unique_6 images_annotated/000200_000200__relation_nearest_to_unique_6.jpg Which person is nearest to the car on the far right? 1784,759 1775,790 1840,729 1591,542 -111 000205__unique_class_0 images_annotated/000205_000205__unique_class_0.jpg Point to the person holding an umbrella on the right. 1617,534 1714,1079 1818,739 784,794 -112 000205__quadrant_hint_1 images_annotated/000205_000205__quadrant_hint_1.jpg Point to the road sign in the upper right section. 1818,739 1714,1079 784,794 1617,534 -113 000210__relation_nearest_to_unique_9 images_annotated/000210_000210__relation_nearest_to_unique_9.jpg Find the white car that is nearest to the road sign. 782,795 748,779 1705,1079 715,790 -114 000210__quadrant_hint_4 images_annotated/000210_000210__quadrant_hint_4.jpg Where is the road sign located in the upper right quadrant? 1649,524 1705,1079 782,795 748,779 -115 000215__leftmost_in_class_4 images_annotated/000215_000215__leftmost_in_class_4.jpg Which car is the leftmost one in the image? 33,761 508,822 633,790 675,785 -116 000215__pair_size_7 images_annotated/000215_000215__pair_size_7.jpg Point to the larger of the two road signs. 1089,712 1690,512 1699,1079 834,776 -117 000215__largest_in_class_0 images_annotated/000215_000215__largest_in_class_0.jpg Find the largest car in the image. 1699,1079 834,776 815,785 780,795 -118 000220__rightmost_in_class_8 images_annotated/000220_000220__rightmost_in_class_8.jpg Point to the car that is farthest to the right. 835,774 814,784 1693,1079 777,794 -119 000220__leftmost_in_class_6 images_annotated/000220_000220__leftmost_in_class_6.jpg Find the car that is farthest to the left in the image. 25,759 464,830 631,788 672,782 -120 000220__largest_in_class_3 images_annotated/000220_000220__largest_in_class_3.jpg Point to the largest road sign in the scene. 1733,477 1094,710 1693,1079 1738,494 -121 000225__rightmost_in_class_0 images_annotated/000225_000225__rightmost_in_class_0.jpg Point to the car that is furthest to the right. 835,774 813,785 1690,1079 774,795 -122 000225__smallest_in_class_2 images_annotated/000225_000225__smallest_in_class_2.jpg Which road sign is the smallest? 1793,476 835,774 813,785 1098,708 -123 000230__rightmost_in_class_1 images_annotated/000230_000230__rightmost_in_class_1.jpg Tap the car that is positioned furthest to the right. 1686,1079 834,774 811,785 769,797 -124 000230__largest_in_class_0 images_annotated/000230_000230__largest_in_class_0.jpg Find the largest road sign in the image. 1102,707 1686,1079 1859,454 834,774 -125 000235__rightmost_in_class_2 images_annotated/000235_000235__rightmost_in_class_2.jpg Tap the car that is furthest to the right. 833,773 808,785 763,799 1686,1079 -126 000235__smallest_in_class_1 images_annotated/000235_000235__smallest_in_class_1.jpg Find the smallest road sign in the image. 1108,706 1903,439 833,773 808,785 -127 000240__leftmost_in_class_5 images_annotated/000240_000240__leftmost_in_class_5.jpg Point to the leftmost car in the image. 616,785 129,904 686,787 757,799 -128 000240__relation_right_of_unique_1 images_annotated/000240_000240__relation_right_of_unique_1.jpg Point to the car on the far right of the image. 1684,1079 827,778 757,799 686,787 -129 000240__relation_nearest_to_unique_0 images_annotated/000240_000240__relation_nearest_to_unique_0.jpg Which car is nearest to the white car on the right? 757,799 686,787 828,778 616,785 -130 000245__largest_in_class_4 images_annotated/000245_000245__largest_in_class_4.jpg Point to the largest car in the image. 1684,1079 825,777 791,785 748,802 -131 000245__smallest_in_class_5 images_annotated/000245_000245__smallest_in_class_5.jpg Find the smallest car in the line of traffic. 791,785 748,802 826,777 678,787 -132 000245__leftmost_in_class_0 images_annotated/000245_000245__leftmost_in_class_0.jpg Point to the leftmost car in the line of traffic. 678,787 612,784 748,802 791,785 -133 000250__largest_in_class_5 images_annotated/000250_000250__largest_in_class_5.jpg Find the largest car in the image. 823,776 786,785 739,805 1684,1079 -134 000250__smallest_in_class_1 images_annotated/000250_000250__smallest_in_class_1.jpg Find the smallest car in the image. 824,777 786,785 739,805 670,787 -135 000250__leftmost_in_class_4 images_annotated/000250_000250__leftmost_in_class_4.jpg Where is the leftmost car in the line of traffic? 670,787 739,805 607,783 786,785 -136 000255__quadrant_hint_1 images_annotated/000255_000255__quadrant_hint_1.jpg Find the car in the lower right corner of the image. 819,777 778,787 727,809 1684,1077 -137 000255__relation_nearest_to_unique_2 images_annotated/000255_000255__relation_nearest_to_unique_2.jpg Which car is closest to the road sign? 778,787 727,809 820,777 659,788 -138 000255__unique_class_3 images_annotated/000255_000255__unique_class_3.jpg Where is the road sign in the scene? 1131,696 819,777 778,787 727,809 -139 000260__quadrant_hint_3 images_annotated/000260_000260__quadrant_hint_3.jpg Which car is on the far right of the image? 825,769 816,777 781,788 1686,1078 -140 000260__relation_nearest_to_unique_1 images_annotated/000260_000260__relation_nearest_to_unique_1.jpg Which car is nearest to the road sign? 826,769 816,777 781,788 710,815 -141 000260__unique_class_0 images_annotated/000260_000260__unique_class_0.jpg Where is the person standing on the sidewalk? 380,777 588,785 643,788 710,815 -142 000265__relation_right_of_unique_2 images_annotated/000265_000265__relation_right_of_unique_2.jpg Point to the white car on the right side of the road. 1686,1078 824,769 812,777 773,790 -143 000265__quadrant_hint_0 images_annotated/000265_000265__quadrant_hint_0.jpg Where is the person standing on the left side of the road? 579,785 623,789 688,822 363,777 -144 000265__relation_nearest_to_unique_1 images_annotated/000265_000265__relation_nearest_to_unique_1.jpg Which car is nearest to the person? 623,789 688,822 580,785 773,790 -145 000270__relation_right_of_unique_4 images_annotated/000270_000270__relation_right_of_unique_4.jpg Which car is to the right of the white car? 822,769 808,777 762,792 1688,1078 -146 000270__leftmost_in_class_2 images_annotated/000270_000270__leftmost_in_class_2.jpg Point to the leftmost car in the line of traffic. 662,832 570,784 762,792 808,777 -147 000270__unique_class_3 images_annotated/000270_000270__unique_class_3.jpg Where is the person standing on the sidewalk? 570,784 662,832 762,792 340,777 -148 000275__leftmost_in_class_1 images_annotated/000275_000275__leftmost_in_class_1.jpg Point to the leftmost car in the line of traffic. 624,849 748,798 803,781 819,772 -149 000275__relation_nearest_to_unique_4 images_annotated/000275_000275__relation_nearest_to_unique_4.jpg Find the car nearest to the road sign. 803,781 820,772 748,798 624,849 -150 000275__quadrant_hint_0 images_annotated/000275_000275__quadrant_hint_0.jpg Where is the person located in the lower-left portion of the image? 317,778 624,849 748,798 803,781 -151 000280__largest_in_class_0 images_annotated/000280_000280__largest_in_class_0.jpg Which car is the largest in the scene? 794,784 733,803 570,871 1693,1079 -152 000280__leftmost_in_class_2 images_annotated/000280_000280__leftmost_in_class_2.jpg Find the leftmost car in the line of traffic. 733,803 570,870 794,784 1693,1079 -153 000280__quadrant_hint_1 images_annotated/000280_000280__quadrant_hint_1.jpg Point to the road sign in the lower right section. 1173,684 794,784 733,803 570,871 -154 000285__largest_in_class_4 images_annotated/000285_000285__largest_in_class_4.jpg Which car is the largest in the scene? 811,777 788,789 1695,1079 709,812 -155 000285__leftmost_in_class_1 images_annotated/000285_000285__leftmost_in_class_1.jpg Point to the black car on the left side of the road. 484,908 709,812 788,789 811,777 -156 000285__quadrant_hint_2 images_annotated/000285_000285__quadrant_hint_2.jpg Where is the road sign in the lower right quadrant? 811,777 788,789 709,812 1185,684 -157 000290__largest_in_class_0 images_annotated/000290_000290__largest_in_class_0.jpg Find the largest car in the image. 807,783 778,796 684,824 1699,1079 -158 000290__leftmost_in_class_4 images_annotated/000290_000290__leftmost_in_class_4.jpg Point to the leftmost car. 336,982 684,824 778,796 807,783 -159 000290__smallest_in_class_1 images_annotated/000290_000290__smallest_in_class_1.jpg Find the smallest car. 778,796 806,783 684,824 336,982 -160 000295__rightmost_in_class_1 images_annotated/000295_000295__rightmost_in_class_1.jpg Which car is the rightmost one in the scene? 801,783 769,799 658,833 1705,1079 -161 000295__pair_size_3 images_annotated/000295_000295__pair_size_3.jpg Which road sign is larger than the other one? 1212,679 517,818 326,575 658,833 -162 000295__pair_size_0 images_annotated/000295_000295__pair_size_0.jpg Which road sign is smaller than the other one? 1212,679 326,575 801,783 769,799 -163 000300__largest_in_class_2 images_annotated/000300_000300__largest_in_class_2.jpg Point to the largest car in the scene. 800,782 1711,1079 755,800 619,841 -164 000300__smallest_in_class_0 images_annotated/000300_000300__smallest_in_class_0.jpg Point to the smallest road sign in the scene. 1230,670 299,563 1710,1079 1356,643 -165 000300__leftmost_in_class_4 images_annotated/000300_000300__leftmost_in_class_4.jpg Find the black car on the far left of the road. 454,821 619,841 755,800 161,1012 -166 000305__leftmost_in_class_1 images_annotated/000305_000305__leftmost_in_class_1.jpg Point to the leftmost car in the line of traffic. 568,858 746,802 392,831 797,783 -167 000305__unique_class_3 images_annotated/000305_000305__unique_class_3.jpg Point to the person group on the sidewalk. 106,758 269,555 392,830 568,858 -168 000305__relation_nearest_to_unique_2 images_annotated/000305_000305__relation_nearest_to_unique_2.jpg Find the road sign nearest to the person group. 1250,664 269,555 1394,631 105,758 -169 000310__closest_to_center_3 images_annotated/000310_000310__closest_to_center_3.jpg Where is the road sign closest to the center of the image? 1273,657 1438,617 235,544 836,761 -170 000310__rightmost_in_class_4 images_annotated/000310_000310__rightmost_in_class_4.jpg Point to the road sign that is farthest to the right. 1273,657 235,544 1438,617 1800,718 -171 000310__closest_to_center_2 images_annotated/000310_000310__closest_to_center_2.jpg Point to the car closest to the center of the image. 791,785 835,761 729,810 678,784 -172 000315__leftmost_in_class_4 images_annotated/000315_000315__leftmost_in_class_4.jpg Point to the leftmost car in the scene. 346,951 590,804 616,784 660,788 -173 000315__largest_in_class_8 images_annotated/000315_000315__largest_in_class_8.jpg Tap the largest car in the image. 1810,713 1732,1079 835,762 784,786 -174 000315__quadrant_hint_0 images_annotated/000315_000315__quadrant_hint_0.jpg Point to the green street sign on the left. 1298,648 196,534 1492,602 345,952 -175 000320__largest_in_class_1 images_annotated/000320_000320__largest_in_class_1.jpg Find the largest car on the left side of the road. 530,817 234,1014 599,785 686,828 -176 000320__bottommost_in_class_0 images_annotated/000320_000320__bottommost_in_class_0.jpg Point to the white car on the far right. 1818,709 774,791 1740,1073 686,828 -177 000320__quadrant_hint_3 images_annotated/000320_000320__quadrant_hint_3.jpg Where is the green street sign on the left side of the road? 1327,639 1556,581 530,817 152,519 -178 000325__largest_in_class_4 images_annotated/000325_000325__largest_in_class_4.jpg Which car is the largest and on the far right? 1827,704 830,760 1747,1070 812,768 -179 000325__bottommost_in_class_5 images_annotated/000325_000325__bottommost_in_class_5.jpg Where is the road sign that is lowest in the frame? 1636,554 1361,626 101,502 1827,704 -180 000325__leftmost_in_class_1 images_annotated/000325_000325__leftmost_in_class_1.jpg Find the red car on the far left side of the road. 397,813 479,825 581,780 115,1015 -181 000330__largest_in_class_3 images_annotated/000330_000330__largest_in_class_3.jpg Which car is the largest in the image? 1836,702 1757,1071 827,762 806,771 -182 000330__quadrant_hint_1 images_annotated/000330_000330__quadrant_hint_1.jpg Point to the road sign on the left side of the street. 46,485 1403,615 1736,525 368,818 -183 000330__rightmost_in_class_2 images_annotated/000330_000330__rightmost_in_class_2.jpg Find the rightmost road sign. 1403,615 1736,525 46,485 1836,702 -184 000335__leftmost_in_class_1 images_annotated/000335_000335__leftmost_in_class_1.jpg Point to the leftmost car in the line of traffic. 344,851 524,908 735,810 800,778 -185 000335__bottommost_in_class_3 images_annotated/000335_000335__bottommost_in_class_3.jpg Tap the car that is at the bottom of the image. 1845,704 1768,1075 824,767 800,778 -186 000335__pair_size_2 images_annotated/000335_000335__pair_size_2.jpg Find the larger of the two road signs. 15,466 1845,704 1452,605 1768,1075 -187 000340__bottommost_in_class_1 images_annotated/000340_000340__bottommost_in_class_1.jpg Which car is at the bottom of the image? 388,978 220,860 616,799 718,819 -188 000340__leftmost_in_class_2 images_annotated/000340_000340__leftmost_in_class_2.jpg Point to the leftmost car in the image. 388,978 616,799 718,819 221,860 -189 000340__relation_nearest_to_unique_5 images_annotated/000340_000340__relation_nearest_to_unique_5.jpg Find the car nearest to the road sign. 823,765 1855,698 794,777 718,819 -190 000345__largest_in_class_0 images_annotated/000345_000345__largest_in_class_0.jpg Which car is the largest in the scene? 568,808 267,1020 697,827 787,778 -191 000345__rightmost_in_class_4 images_annotated/000345_000345__rightmost_in_class_4.jpg Which car is the rightmost in the scene? 820,763 1866,694 787,778 697,827 -192 000345__unique_class_5 images_annotated/000345_000345__unique_class_5.jpg Point to the road sign. 1867,694 820,763 1590,561 787,778 -193 000350__largest_in_class_6 images_annotated/000350_000350__largest_in_class_6.jpg Find the largest car in the image. 161,1014 279,824 409,816 534,815 -194 000350__smallest_in_class_1 images_annotated/000350_000350__smallest_in_class_1.jpg Which car is the smallest in the scene? 780,779 820,764 669,837 534,815 -195 000350__relation_nearest_to_unique_7 images_annotated/000350_000350__relation_nearest_to_unique_7.jpg Which car is nearest to the road sign? 819,764 780,779 1878,693 669,837 -196 000355__smallest_in_class_2 images_annotated/000355_000355__smallest_in_class_2.jpg Which car is the smallest one in the image? 774,780 818,764 629,855 489,826 -197 000355__quadrant_hint_6 images_annotated/000355_000355__quadrant_hint_6.jpg Point to the car in the lower right corner. 1889,689 818,764 774,780 629,855 -198 000355__quadrant_hint_1 images_annotated/000355_000355__quadrant_hint_1.jpg Find the sign in the upper right corner of the image. 1890,689 818,764 774,780 1807,491 -199 000360__largest_in_class_6 images_annotated/000360_000360__largest_in_class_6.jpg Where is the largest car in the image? 425,831 572,881 727,772 769,781 -200 000360__rightmost_in_class_1 images_annotated/000360_000360__rightmost_in_class_1.jpg Which car is the rightmost one in the scene? 817,763 804,768 1901,685 769,781 -201 000360__leftmost_in_class_0 images_annotated/000360_000360__leftmost_in_class_0.jpg Point to the black truck parked on the far left. 338,825 142,850 425,831 572,881 -202 000365__bottommost_in_class_2 images_annotated/000365_000365__bottommost_in_class_2.jpg Where is the car that is lowest in the frame? 289,814 474,927 690,779 723,770 -203 000365__quadrant_hint_8 images_annotated/000365_000365__quadrant_hint_8.jpg Point to the car on the far right edge of the image. 816,761 802,766 1907,680 763,780 -204 000365__leftmost_in_class_0 images_annotated/000365_000365__leftmost_in_class_0.jpg Point to the black pickup truck parked on the left. 289,814 474,927 119,854 690,779 -205 000370__largest_in_class_4 images_annotated/000370_000370__largest_in_class_4.jpg Point to the largest car on the road. 303,1020 51,759 615,793 678,779 -206 000370__leftmost_in_class_5 images_annotated/000370_000370__leftmost_in_class_5.jpg Which car is positioned furthest to the left? 303,1019 615,793 52,759 678,779 -207 000370__smallest_in_class_3 images_annotated/000370_000370__smallest_in_class_3.jpg Find the smallest car in the image. 716,769 678,779 756,780 798,765 -208 000375__largest_in_class_3 images_annotated/000375_000375__largest_in_class_3.jpg Point to the largest car on the left side of the road. 236,1015 571,803 669,782 747,785 -209 000380__leftmost_in_class_4 images_annotated/000380_000380__leftmost_in_class_4.jpg Point to the leftmost car in the scene. 150,884 391,817 542,810 617,780 -210 000385__largest_in_class_0 images_annotated/000385_000385__largest_in_class_0.jpg Which car on the left is the largest? 360,823 106,846 508,818 578,785 -211 000385__smallest_in_class_5 images_annotated/000385_000385__smallest_in_class_5.jpg Find the smallest car among the group on the right. 578,785 605,781 646,790 508,818 -212 000390__largest_in_class_0 images_annotated/000390_000390__largest_in_class_0.jpg Which car is the largest in the scene? 467,826 324,828 558,789 64,854 -213 000390__leftmost_in_class_1 images_annotated/000390_000390__leftmost_in_class_1.jpg Point to the leftmost car on the road. 324,828 467,826 558,789 63,854 -214 000390__smallest_in_class_2 images_annotated/000390_000390__smallest_in_class_2.jpg Find the smallest car in the image. 779,773 710,800 804,764 632,792 -215 000395__largest_in_class_3 images_annotated/000395_000395__largest_in_class_3.jpg Find the largest car in the line of traffic. 538,797 278,835 617,797 415,838 -216 000395__leftmost_in_class_4 images_annotated/000395_000395__leftmost_in_class_4.jpg Where is the leftmost car in the traffic line? 415,838 538,797 617,797 278,835 -217 000395__smallest_in_class_0 images_annotated/000395_000395__smallest_in_class_0.jpg Point to the smallest car on the road. 773,777 692,810 803,767 617,797 -218 000400__leftmost_in_class_7 images_annotated/000400_000400__leftmost_in_class_7.jpg Tap the leftmost car in the image. 344,856 479,777 515,801 228,846 -219 000400__closest_to_center_1 images_annotated/000400_000400__closest_to_center_1.jpg Point to the car closest to the center of the image. 765,783 803,769 668,821 597,802 -220 000400__smallest_in_class_5 images_annotated/000400_000400__smallest_in_class_5.jpg Find the smallest car in the image. 515,801 597,802 478,777 344,856 -221 000405__smallest_in_class_6 images_annotated/000405_000405__smallest_in_class_6.jpg Find the smallest car on the road. 757,788 799,770 634,835 568,808 -222 000405__largest_in_class_1 images_annotated/000405_000405__largest_in_class_1.jpg Which car is the largest in the scene? 164,857 446,778 495,806 250,874 -223 000405__leftmost_in_class_3 images_annotated/000405_000405__leftmost_in_class_3.jpg Point to the leftmost car in the image. 250,874 446,778 163,858 495,806 -224 000410__leftmost_in_class_6 images_annotated/000410_000410__leftmost_in_class_6.jpg Where is the leftmost car in the image? 429,773 156,906 475,811 587,857 -225 000410__closest_to_center_2 images_annotated/000410_000410__closest_to_center_2.jpg Find the car closest to the center of the image. 750,793 709,778 797,773 587,857 -226 000410__smallest_in_class_1 images_annotated/000410_000410__smallest_in_class_1.jpg Point to the smallest car in the scene. 708,778 750,793 797,773 587,857 -227 000415__closest_bottom_edge_4 images_annotated/000415_000415__closest_bottom_edge_4.jpg Which car is closest to the bottom edge of the frame? 118,852 412,777 88,907 514,885 -228 000415__closest_to_center_0 images_annotated/000415_000415__closest_to_center_0.jpg Find the car closest to the center of the image. 738,798 681,778 795,776 653,794 -229 000415__largest_in_class_3 images_annotated/000415_000415__largest_in_class_3.jpg Where is the largest car in the image? 412,777 515,885 653,794 681,778 -230 000420__largest_in_class_3 images_annotated/000420_000420__largest_in_class_3.jpg Point to the largest car in the scene. 626,797 392,939 676,779 60,872 -231 000420__closest_to_center_2 images_annotated/000420_000420__closest_to_center_2.jpg Which car is closest to the center of the image? 726,806 676,779 626,797 795,779 -232 000420__leftmost_in_class_5 images_annotated/000420_000420__leftmost_in_class_5.jpg Which car is the leftmost one in the image? 391,938 626,797 60,872 676,779 -233 000425__smallest_in_class_0 images_annotated/000425_000425__smallest_in_class_0.jpg Point to the smallest car in the scene. 787,780 710,813 607,805 501,832 -234 000425__largest_in_class_4 images_annotated/000425_000425__largest_in_class_4.jpg Tap the largest car on the road. 501,832 607,805 710,813 250,1020 -235 000430__smallest_in_class_4 images_annotated/000430_000430__smallest_in_class_4.jpg Where is the smallest car on the road? 688,822 587,811 781,788 435,845 -236 000430__leftmost_in_class_1 images_annotated/000430_000430__leftmost_in_class_1.jpg Point to the leftmost car in the image. 435,845 150,1019 587,811 688,822 -237 000435__rightmost_in_class_2 images_annotated/000435_000435__rightmost_in_class_2.jpg Point to the car that is farthest to the right. 776,792 661,836 560,819 379,863 -238 000435__largest_in_class_3 images_annotated/000435_000435__largest_in_class_3.jpg Where is the largest car in the image? 378,863 560,819 661,836 776,792 -239 000440__closest_right_edge_4 images_annotated/000440_000440__closest_right_edge_4.jpg Find the car closest to the right edge of the image. 770,796 723,779 621,858 522,826 -240 000440__leftmost_in_class_0 images_annotated/000440_000440__leftmost_in_class_0.jpg Point to the leftmost car on the road. 475,820 307,882 522,826 621,858 -241 000440__smallest_in_class_5 images_annotated/000440_000440__smallest_in_class_5.jpg Where is the smallest car in the image? 770,796 621,858 724,779 522,826 -242 000445__largest_in_class_1 images_annotated/000445_000445__largest_in_class_1.jpg Find the largest car in the scene. 438,826 207,904 562,882 687,796 -243 000445__closest_right_edge_0 images_annotated/000445_000445__closest_right_edge_0.jpg Point to the car closest to the right edge of the road. 718,783 687,796 762,800 562,882 -244 000445__smallest_in_class_3 images_annotated/000445_000445__smallest_in_class_3.jpg Tap the smallest car in the image. 687,796 718,783 763,800 562,882 -245 000450__leftmost_in_class_2 images_annotated/000450_000450__leftmost_in_class_2.jpg Which car is on the far left of the scene? 465,918 148,932 666,799 756,804 -246 000450__closest_to_center_1 images_annotated/000450_000450__closest_to_center_1.jpg Where is the car closest to the center of the road? 666,799 465,918 147,932 756,804 -247 000450__smallest_in_class_0 images_annotated/000450_000450__smallest_in_class_0.jpg Point to the smallest car on the road. 756,804 465,918 666,799 147,932 -248 000455__rightmost_in_class_2 images_annotated/000455_000455__rightmost_in_class_2.jpg Where is the rightmost car on the road? 650,803 747,808 569,801 288,994 -249 000455__leftmost_in_class_0 images_annotated/000455_000455__leftmost_in_class_0.jpg Point to the leftmost car in the image. 569,801 650,803 746,808 288,994 -250 000455__smallest_in_class_1 images_annotated/000455_000455__smallest_in_class_1.jpg Find the smallest car on the road. 568,801 650,803 746,808 288,994 -251 000460__closest_to_center_5 images_annotated/000460_000460__closest_to_center_5.jpg Tap the car closest to the center of the image. 635,806 547,803 733,813 471,812 -252 000460__largest_in_class_0 images_annotated/000460_000460__largest_in_class_0.jpg Which car is the largest in the scene? 414,843 471,812 211,1027 547,803 -253 000460__smallest_in_class_2 images_annotated/000460_000460__smallest_in_class_2.jpg Find the smallest car on the road. 471,812 635,806 414,843 547,803 -254 000465__largest_in_class_3 images_annotated/000465_000465__largest_in_class_3.jpg Find the largest car in the line of traffic. 294,877 198,785 439,819 67,868 -255 000465__rightmost_in_class_6 images_annotated/000465_000465__rightmost_in_class_6.jpg Tap the car that is farthest to the right on the road. 614,809 528,804 718,819 439,819 -256 000465__smallest_in_class_4 images_annotated/000465_000465__smallest_in_class_4.jpg Where is the smallest car on the road? 614,809 528,804 439,819 718,819 -257 000470__closest_to_center_1 images_annotated/000470_000470__closest_to_center_1.jpg Find the car closest to the center of the image. 699,826 589,812 776,791 508,809 -258 000470__largest_in_class_5 images_annotated/000470_000470__largest_in_class_5.jpg Where is the largest car in the image? 349,832 198,894 409,824 508,809 -259 000475__smallest_in_class_2 images_annotated/000475_000475__smallest_in_class_2.jpg Point to the smallest car in the scene. 766,793 674,835 560,815 482,810 -260 000475__leftmost_in_class_4 images_annotated/000475_000475__leftmost_in_class_4.jpg Where is the leftmost car in the image? 281,834 136,918 374,828 482,810 -261 000480__bottommost_in_class_6 images_annotated/000480_000480__bottommost_in_class_6.jpg Where is the bottommost car in the scene? 102,774 77,906 206,853 335,831 -262 000480__largest_in_class_0 images_annotated/000480_000480__largest_in_class_0.jpg Which car is the largest in the scene? 641,846 753,796 519,819 455,812 -263 000480__smallest_in_class_7 images_annotated/000480_000480__smallest_in_class_7.jpg Tap the smallest car in the image. 206,853 76,906 335,831 102,774 -264 000485__topmost_in_class_3 images_annotated/000485_000485__topmost_in_class_3.jpg Where is the highest car in the frame? 738,801 424,816 595,867 286,836 -265 000485__closest_to_center_5 images_annotated/000485_000485__closest_to_center_5.jpg Find the car closest to the center of the image. 596,867 424,816 286,836 737,801 -266 000485__leftmost_in_class_0 images_annotated/000485_000485__leftmost_in_class_0.jpg Point to the leftmost car parked on the street. 54,792 117,860 286,836 424,816 -267 000490__bottommost_in_class_0 images_annotated/000490_000490__bottommost_in_class_0.jpg Point to the car that is lowest in the frame. 717,809 781,762 233,846 528,899 -268 000490__rightmost_in_class_3 images_annotated/000490_000490__rightmost_in_class_3.jpg Which car is positioned at the far right of the image? 781,762 717,809 1876,680 528,899 -269 000490__leftmost_in_class_2 images_annotated/000490_000490__leftmost_in_class_2.jpg Find the car that is farthest to the left. 233,846 84,872 528,899 717,809 -270 000495__relation_right_of_unique_3 images_annotated/000495_000495__relation_right_of_unique_3.jpg Find the car to the right of the rider. 776,763 1891,679 691,820 416,949 -271 000495__relation_nearest_to_unique_0 images_annotated/000495_000495__relation_nearest_to_unique_0.jpg Point to the car closest to the rider. 691,820 416,949 776,762 160,854 -272 000495__quadrant_hint_1 images_annotated/000495_000495__quadrant_hint_1.jpg Point to the rider on the right side of the road. 776,763 1154,735 691,820 1892,679 -273 000500__largest_in_class_0 images_annotated/000500_000500__largest_in_class_0.jpg Which car is the largest in the scene? 656,837 292,1017 739,774 772,765 -274 000500__relation_nearest_to_unique_3 images_annotated/000500_000500__relation_nearest_to_unique_3.jpg Which car is nearest to the rider? 739,774 656,837 291,1017 772,765 -275 000500__quadrant_hint_2 images_annotated/000500_000500__quadrant_hint_2.jpg Where is the person on the bike located in the lower right? 1173,739 772,765 739,774 656,837 -276 000505__largest_in_class_9 images_annotated/000505_000505__largest_in_class_9.jpg Tap the largest car in the image. 498,823 232,1025 611,851 728,776 -277 000505__rightmost_in_class_1 images_annotated/000505_000505__rightmost_in_class_1.jpg Which car is the rightmost one in the scene? 767,766 728,776 1853,683 611,851 -278 000505__closest_left_edge_3 images_annotated/000505_000505__closest_left_edge_3.jpg Where is the rider closest to the left edge of the road? 1158,743 1197,740 1159,772 1197,770 -279 000510__leftmost_in_class_2 images_annotated/000510_000510__leftmost_in_class_2.jpg Point to the leftmost car in the image. 231,879 98,988 298,832 420,841 -280 000510__quadrant_hint_6 images_annotated/000510_000510__quadrant_hint_6.jpg Where is the car in the lower right corner? 1866,681 762,768 720,778 692,788 -281 000510__closest_right_edge_5 images_annotated/000510_000510__closest_right_edge_5.jpg Find the cyclist closest to the right edge of the road. 1184,775 1224,739 1182,743 1225,772 -282 000515__largest_in_class_5 images_annotated/000515_000515__largest_in_class_5.jpg Where is the largest car in the line of traffic? 673,790 490,902 713,780 229,850 -283 000515__leftmost_in_class_0 images_annotated/000515_000515__leftmost_in_class_0.jpg Point to the black car on the far left. 88,910 229,850 489,902 673,790 -284 000515__rightmost_in_class_2 images_annotated/000515_000515__rightmost_in_class_2.jpg Where is the white car on the far right edge of the image? 1880,681 758,769 713,780 673,790 -285 000520__quadrant_hint_1 images_annotated/000520_000520__quadrant_hint_1.jpg Where is the car on the far right edge of the image? 1895,678 754,769 705,781 651,793 -286 000520__pair_left_right_0 images_annotated/000520_000520__pair_left_right_0.jpg Point to the rider on the right. 1241,739 1292,775 1290,735 1243,779 -287 000520__largest_in_class_2 images_annotated/000520_000520__largest_in_class_2.jpg Point to the largest cyclist in the scene. 1243,779 1290,735 1241,739 1292,775 -288 000525__quadrant_hint_1 images_annotated/000525_000525__quadrant_hint_1.jpg Tap the car in the lower right corner of the image. 745,771 1905,676 697,784 637,799 -289 000525__pair_left_right_0 images_annotated/000525_000525__pair_left_right_0.jpg Point to the rider on the left side of the pair. 1337,736 1283,782 1281,740 1338,778 -290 000530__smallest_in_class_0 images_annotated/000530_000530__smallest_in_class_0.jpg Find the cyclist who is the smallest in the group. 1396,781 1332,786 1328,740 1392,731 -291 000530__rightmost_in_class_1 images_annotated/000530_000530__rightmost_in_class_1.jpg Where is the rightmost cyclist on the road? 1332,786 1392,731 1396,781 1328,740 -292 000535__leftmost_in_class_0 images_annotated/000535_000535__leftmost_in_class_0.jpg Point to the leftmost car in the traffic. 451,836 602,806 676,789 296,836 -293 000535__rightmost_in_class_1 images_annotated/000535_000535__rightmost_in_class_1.jpg Where is the rightmost cyclist on the road? 1396,791 1466,722 1469,783 1389,731 -294 000535__pair_size_2 images_annotated/000535_000535__pair_size_2.jpg Tap the smaller cyclist on the left side of the pair. 1396,791 1468,783 1389,731 1466,722 -295 000540__smallest_in_class_3 images_annotated/000540_000540__smallest_in_class_3.jpg Where is the smallest car in the line? 662,791 579,812 726,777 391,849 -296 000540__leftmost_in_class_0 images_annotated/000540_000540__leftmost_in_class_0.jpg Point to the leftmost car in the line of traffic. 391,849 579,812 662,791 238,843 -297 000540__largest_in_class_2 images_annotated/000540_000540__largest_in_class_2.jpg Find the largest car in the traffic line. 392,849 238,844 579,812 662,791 -298 000545__largest_in_class_0 images_annotated/000545_000545__largest_in_class_0.jpg Which car on the left is the largest? 162,854 556,817 648,796 309,867 -299 000545__leftmost_in_class_1 images_annotated/000545_000545__leftmost_in_class_1.jpg Point to the leftmost car on the road. 161,854 310,867 556,817 648,796 -300 000545__pair_size_2 images_annotated/000545_000545__pair_size_2.jpg Find the smaller of the two riders on the right. 1590,727 1678,718 1688,787 1594,802 -301 000550__rightmost_in_class_1 images_annotated/000550_000550__rightmost_in_class_1.jpg Which rider is on the far right? 1749,718 1854,788 1756,807 1839,701 -302 000550__smallest_in_class_0 images_annotated/000550_000550__smallest_in_class_0.jpg Which cyclist is the smallest in the group? 1757,807 1854,788 1749,718 1840,701 -303 000555__leftmost_in_class_2 images_annotated/000555_000555__leftmost_in_class_2.jpg Which car is the leftmost? 138,912 489,830 614,805 667,778 -304 000555__largest_in_class_1 images_annotated/000555_000555__largest_in_class_1.jpg Which person is the largest? 335,784 315,794 489,830 139,912 -305 000555__smallest_in_class_4 images_annotated/000555_000555__smallest_in_class_4.jpg Which person is the smallest? 314,794 489,830 334,784 139,912 -306 000560__largest_in_class_5 images_annotated/000560_000560__largest_in_class_5.jpg Where is the largest car on the left side of the road? 67,907 444,839 594,807 654,778 -307 000560__closest_to_center_0 images_annotated/000560_000560__closest_to_center_0.jpg Point to the person standing closest to the center of the image. 282,802 305,785 227,783 444,839 -308 000560__leftmost_in_class_6 images_annotated/000560_000560__leftmost_in_class_6.jpg Where is the person standing closest to the left edge of the image? 227,783 282,802 305,785 67,907 -309 000565__largest_in_class_1 images_annotated/000565_000565__largest_in_class_1.jpg Find the largest car on the road. 508,801 644,778 388,849 677,785 -310 000565__leftmost_in_class_0 images_annotated/000565_000565__leftmost_in_class_0.jpg Point to the person on the far left of the group. 246,791 268,784 387,849 182,795 -311 000565__smallest_in_class_5 images_annotated/000565_000565__smallest_in_class_5.jpg Where is the smallest car on the road? 643,778 677,785 508,801 387,849 -312 000570__leftmost_in_class_1 images_annotated/000570_000570__leftmost_in_class_1.jpg Which car is the leftmost? 473,808 543,819 309,866 664,789 -313 000570__pair_size_0 images_annotated/000570_000570__pair_size_0.jpg Which person is the larger of the two? 132,800 221,780 310,866 473,808 -314 000570__pair_size_2 images_annotated/000570_000570__pair_size_2.jpg Which person is the smaller of the two? 133,800 221,780 310,866 473,808 -315 000575__relation_nearest_to_unique_6 images_annotated/000575_000575__relation_nearest_to_unique_6.jpg Find the car closest to the person. 435,811 510,826 207,888 579,790 -316 000575__unique_class_5 images_annotated/000575_000575__unique_class_5.jpg Where is the person standing on the sidewalk? 207,888 435,811 510,826 73,791 -317 000580__largest_in_class_1 images_annotated/000580_000580__largest_in_class_1.jpg Tap the largest car in the scene. 470,834 558,794 142,917 634,797 -318 000580__closest_to_center_0 images_annotated/000580_000580__closest_to_center_0.jpg Where is the car closest to the center of the road? 634,797 558,794 693,773 470,834 -319 000585__leftmost_in_class_0 images_annotated/000585_000585__leftmost_in_class_0.jpg Find the leftmost car in the scene. 419,842 75,906 535,797 615,800 -320 000585__smallest_in_class_5 images_annotated/000585_000585__smallest_in_class_5.jpg Where is the smallest car on the road? 689,773 615,800 664,777 535,797 -321 000590__leftmost_in_class_3 images_annotated/000590_000590__leftmost_in_class_3.jpg Which car is the leftmost one in the line of traffic? 508,798 353,856 593,805 658,779 -322 000590__rightmost_in_class_2 images_annotated/000590_000590__rightmost_in_class_2.jpg Find the car that is furthest to the right in the scene. 685,773 658,779 593,805 1860,692 -323 000590__unique_class_6 images_annotated/000590_000590__unique_class_6.jpg Where is the person standing on the sidewalk? 354,856 508,798 15,786 593,805 -324 000595__largest_in_class_4 images_annotated/000595_000595__largest_in_class_4.jpg Which car is the largest in the image? 487,805 568,814 267,875 653,782 -325 000595__closest_to_center_6 images_annotated/000595_000595__closest_to_center_6.jpg Point to the car closest to the center of the image. 720,771 682,776 653,782 568,814 -326 000595__rightmost_in_class_0 images_annotated/000595_000595__rightmost_in_class_0.jpg Find the car that is furthest to the right on the road. 720,771 682,776 1878,694 653,782 -327 000600__leftmost_in_class_3 images_annotated/000600_000600__leftmost_in_class_3.jpg Where is the leftmost car on the road? 346,823 163,897 461,809 535,821 -328 000600__smallest_in_class_1 images_annotated/000600_000600__smallest_in_class_1.jpg Find the smallest car in the image. 678,777 646,782 613,787 1899,693 -329 000600__closest_to_center_6 images_annotated/000600_000600__closest_to_center_6.jpg Point to the car closest to the center of the image. 678,777 646,782 613,787 535,821 -330 000605__largest_in_class_6 images_annotated/000605_000605__largest_in_class_6.jpg Which car on the left is the largest? 106,906 270,835 427,808 495,827 -331 000610__largest_in_class_1 images_annotated/000610_000610__largest_in_class_1.jpg Which car is the largest on the left side of the road? 175,839 441,837 582,787 632,782 -332 000615__relation_nearest_to_unique_8 images_annotated/000615_000615__relation_nearest_to_unique_8.jpg Point to the car nearest to the person. 370,847 570,787 117,849 623,781 -333 000615__rightmost_in_class_3 images_annotated/000615_000615__rightmost_in_class_3.jpg Find the car that is furthest to the right on the road. 726,765 714,767 696,770 1670,707 -334 000615__largest_in_class_4 images_annotated/000615_000615__largest_in_class_4.jpg Which car is the largest in the image? 570,787 117,849 371,847 623,781 -335 000620__leftmost_in_class_6 images_annotated/000620_000620__leftmost_in_class_6.jpg Which car is the leftmost one in the image? 77,843 270,867 555,789 613,782 -336 000620__closest_bottom_edge_3 images_annotated/000620_000620__closest_bottom_edge_3.jpg Find the car closest to the bottom edge of the image. 76,844 271,867 555,789 613,782 -337 000620__quadrant_hint_5 images_annotated/000620_000620__quadrant_hint_5.jpg Point to the person standing near the cars on the left. 157,773 76,844 270,867 555,789 -338 000625__leftmost_in_class_7 images_annotated/000625_000625__leftmost_in_class_7.jpg Where is the leftmost car parked on the side of the road? 331,816 163,903 539,793 601,784 -339 000625__smallest_in_class_6 images_annotated/000625_000625__smallest_in_class_6.jpg Point to the smallest car parked on the left side of the road. 704,768 683,773 649,776 726,766 -340 000630__largest_in_class_5 images_annotated/000630_000630__largest_in_class_5.jpg Find the largest car on the left side of the road. 257,833 94,901 519,798 588,789 -341 000630__smallest_in_class_0 images_annotated/000630_000630__smallest_in_class_0.jpg Point to the smallest car parked on the left side. 699,770 677,774 640,779 722,767 -342 000635__largest_in_class_3 images_annotated/000635_000635__largest_in_class_3.jpg Point to the largest car parked on the left side of the road. 496,802 571,790 171,841 630,780 -343 000635__unique_class_2 images_annotated/000635_000635__unique_class_2.jpg Find the person standing on the far left near the cars. 10,787 171,841 496,802 571,790 -344 000635__smallest_in_class_0 images_annotated/000635_000635__smallest_in_class_0.jpg Point to the smallest car on the left side of the road. 692,771 669,776 716,768 630,780 -345 000640__leftmost_in_class_2 images_annotated/000640_000640__leftmost_in_class_2.jpg Point to the leftmost car parked on the street. 471,808 109,854 554,793 618,785 -346 000640__smallest_in_class_5 images_annotated/000640_000640__smallest_in_class_5.jpg Find the smallest car among the group on the right side of the road. 710,769 685,772 660,778 618,785 -347 000645__largest_in_class_0 images_annotated/000645_000645__largest_in_class_0.jpg Which car on the left is the largest? 441,809 534,797 604,788 71,851 -348 000645__smallest_in_class_6 images_annotated/000645_000645__smallest_in_class_6.jpg Find the smallest car parked on the right side of the road. 677,775 650,780 604,788 705,771 -349 000650__leftmost_in_class_1 images_annotated/000650_000650__leftmost_in_class_1.jpg Where is the leftmost car parked along the street? 510,801 407,819 589,790 639,781 -350 000650__closest_bottom_edge_3 images_annotated/000650_000650__closest_bottom_edge_3.jpg Point to the road sign that is closest to the bottom edge of the image. 309,672 408,819 307,696 510,801 -351 000650__closest_top_edge_7 images_annotated/000650_000650__closest_top_edge_7.jpg Tap the road sign that is closest to the top edge of the image. 309,672 308,695 408,819 510,801 -352 000655__largest_in_class_2 images_annotated/000655_000655__largest_in_class_2.jpg Point to the largest car parked on the left side of the road. 485,806 369,820 531,768 574,793 -353 000655__closest_top_edge_3 images_annotated/000655_000655__closest_top_edge_3.jpg Where is the road sign that is closest to the top edge of the image? 261,666 261,692 369,820 485,806 -354 000655__bottommost_in_class_5 images_annotated/000655_000655__bottommost_in_class_5.jpg Point to the road sign that is lowest on the image. 262,666 369,820 261,692 485,806 -355 000660__leftmost_in_class_5 images_annotated/000660_000660__leftmost_in_class_5.jpg Where is the leftmost car parked along the side of the road? 456,812 323,829 557,796 615,786 -356 000660__smallest_in_class_2 images_annotated/000660_000660__smallest_in_class_2.jpg Which car is the smallest one parked on the left side of the road? 684,776 650,780 615,786 557,796 -357 000660__bottommost_in_class_6 images_annotated/000660_000660__bottommost_in_class_6.jpg Point to the road sign that is lowest on the image. 208,659 323,829 456,812 205,688 -358 000665__largest_in_class_3 images_annotated/000665_000665__largest_in_class_3.jpg Find the largest car parked on the left side of the street. 269,837 423,817 471,770 537,801 -359 000665__topmost_in_class_0 images_annotated/000665_000665__topmost_in_class_0.jpg Which road sign is the highest in the image? 144,683 269,837 146,652 423,817 -360 000665__bottommost_in_class_1 images_annotated/000665_000665__bottommost_in_class_1.jpg Where is the lowest road sign in the scene? 146,652 269,837 423,817 144,683 -361 000670__leftmost_in_class_7 images_annotated/000670_000670__leftmost_in_class_7.jpg Point to the leftmost car parked on the street. 384,826 205,847 441,774 516,804 -362 000670__relation_nearest_to_unique_2 images_annotated/000670_000670__relation_nearest_to_unique_2.jpg Find the car closest to the stop sign. 666,780 628,786 584,794 672,764 -363 000670__unique_class_1 images_annotated/000670_000670__unique_class_1.jpg Point to the red stop sign in the distance. 1012,693 672,764 666,780 628,786 -364 000675__largest_in_class_4 images_annotated/000675_000675__largest_in_class_4.jpg Which car on the left is the largest in the image? 337,834 134,859 420,775 493,811 -365 000675__relation_nearest_to_unique_2 images_annotated/000675_000675__relation_nearest_to_unique_2.jpg Find the car that is closest to the stop sign. 657,785 617,791 664,767 567,799 -366 000675__quadrant_hint_0 images_annotated/000675_000675__quadrant_hint_0.jpg Where is the stop sign located in the lower right portion of the image? 1016,692 665,767 657,785 617,791 -367 000680__leftmost_in_class_6 images_annotated/000680_000680__leftmost_in_class_6.jpg Where is the leftmost car in the image? 282,845 398,779 466,817 96,875 -368 000680__relation_right_of_unique_4 images_annotated/000680_000680__relation_right_of_unique_4.jpg Find the car to the right of the red stop sign. 658,770 646,790 1630,705 602,795 -369 000680__relation_nearest_to_unique_2 images_annotated/000680_000680__relation_nearest_to_unique_2.jpg Point to the car nearest to the white building on the left. 646,790 659,770 602,795 547,804 -370 000685__largest_in_class_3 images_annotated/000685_000685__largest_in_class_3.jpg Find the largest car parked on the left side of the road. 54,870 375,772 217,852 437,821 -371 000685__quadrant_hint_8 images_annotated/000685_000685__quadrant_hint_8.jpg Point to the car in the lower right corner of the image. 651,767 636,786 588,794 1638,702 -372 000685__leftmost_in_class_0 images_annotated/000685_000685__leftmost_in_class_0.jpg Point to the leftmost car parked on the street. 54,870 217,852 375,772 437,821 -373 000690__largest_in_class_0 images_annotated/000690_000690__largest_in_class_0.jpg Which car on the left is the largest? 348,766 404,824 503,807 140,862 -374 000690__relation_right_of_unique_7 images_annotated/000690_000690__relation_right_of_unique_7.jpg Find the car to the right of the red stop sign. 645,767 625,789 572,796 1645,700 -375 000690__unique_class_6 images_annotated/000690_000690__unique_class_6.jpg Where is the only stop sign in the scene? 645,767 625,789 1027,684 572,796 -376 000695__smallest_in_class_3 images_annotated/000695_000695__smallest_in_class_3.jpg Find the smallest car in the image. 1655,698 639,767 613,788 556,796 -377 000695__relation_nearest_to_unique_4 images_annotated/000695_000695__relation_nearest_to_unique_4.jpg Which car is closest to the stop sign? 613,788 556,796 639,767 478,810 -378 000695__unique_class_0 images_annotated/000695_000695__unique_class_0.jpg Point to the red stop sign on the pole. 639,767 613,788 556,796 1033,681 -379 000700__largest_in_class_3 images_annotated/000700_000700__largest_in_class_3.jpg Point to the largest car parked on the left side of the road. 323,831 450,812 536,799 67,861 -380 000700__relation_nearest_to_unique_4 images_annotated/000700_000700__relation_nearest_to_unique_4.jpg Find the car nearest to the stop sign. 601,789 536,799 634,764 450,812 -381 000700__relation_right_of_unique_0 images_annotated/000700_000700__relation_right_of_unique_0.jpg Point to the car on the far right of the road. 633,764 601,789 536,799 1665,696 -382 000705__leftmost_in_class_2 images_annotated/000705_000705__leftmost_in_class_2.jpg Point to the leftmost car in the line of parked vehicles. 418,812 516,798 586,785 273,832 -383 000705__relation_right_of_unique_0 images_annotated/000705_000705__relation_right_of_unique_0.jpg Point to the car on the far right of the road. 627,761 1674,692 586,785 516,798 -384 000705__unique_class_3 images_annotated/000705_000705__unique_class_3.jpg Find the red stop sign on the right side of the road. 627,761 586,785 516,798 1044,670 -385 000710__leftmost_in_class_5 images_annotated/000710_000710__leftmost_in_class_5.jpg Which car is the leftmost one parked on the side of the road? 213,841 379,820 490,802 570,790 -386 000710__rightmost_in_class_7 images_annotated/000710_000710__rightmost_in_class_7.jpg Find the rightmost car in the image. 1684,694 1607,703 1860,678 826,757 -387 000710__unique_class_4 images_annotated/000710_000710__unique_class_4.jpg Point to the red stop sign on the right side of the road. 826,757 1050,669 621,763 570,790 -388 000715__largest_in_class_0 images_annotated/000715_000715__largest_in_class_0.jpg Point to the largest car parked on the left. 144,848 337,824 466,807 553,792 -389 000715__rightmost_in_class_9 images_annotated/000715_000715__rightmost_in_class_9.jpg Tap the car parked at the far right edge of the road. 1694,695 1618,704 1874,679 823,758 -390 000715__unique_class_8 images_annotated/000715_000715__unique_class_8.jpg Where is the stop sign located? 823,758 614,763 553,792 1058,667 -391 000720__leftmost_in_class_9 images_annotated/000720_000720__leftmost_in_class_9.jpg Tap the car that is farthest to the left in the scene. 215,756 283,830 106,855 437,809 -392 000720__relation_nearest_to_unique_1 images_annotated/000720_000720__relation_nearest_to_unique_1.jpg Find the car that is nearest to the red stop sign. 793,757 607,764 536,794 820,760 -393 000720__unique_class_2 images_annotated/000720_000720__unique_class_2.jpg Where is the red stop sign on the right side of the road? 820,760 793,757 1066,665 607,764 -394 000725__largest_in_class_6 images_annotated/000725_000725__largest_in_class_6.jpg Find the largest car parked on the left side of the road. 337,776 64,849 407,812 221,838 -395 000725__leftmost_in_class_3 images_annotated/000725_000725__leftmost_in_class_3.jpg Point to the leftmost car parked on the street. 220,838 337,776 63,849 407,812 -396 000725__unique_class_9 images_annotated/000725_000725__unique_class_9.jpg Where is the red stop sign located? 817,761 790,759 601,765 1075,663 -397 000730__largest_in_class_3 images_annotated/000730_000730__largest_in_class_3.jpg Find the largest car parked on the left side of the road. 295,779 148,848 374,818 458,770 -398 000730__relation_nearest_to_unique_8 images_annotated/000730_000730__relation_nearest_to_unique_8.jpg Point to the car that is nearest to the red stop sign. 786,761 594,767 535,766 814,765 -399 000730__quadrant_hint_12 images_annotated/000730_000730__quadrant_hint_12.jpg Tap the red stop sign located in the lower right quadrant. 814,765 786,761 1085,662 594,767 -400 000735__leftmost_in_class_9 images_annotated/000735_000735__leftmost_in_class_9.jpg Where is the leftmost car parked on the side of the road? 267,779 336,825 106,858 444,770 -401 000735__relation_nearest_to_unique_1 images_annotated/000735_000735__relation_nearest_to_unique_1.jpg Find the car that is closest to the stop sign. 782,762 587,767 526,766 810,766 -402 000735__quadrant_hint_0 images_annotated/000735_000735__quadrant_hint_0.jpg Where is the red stop sign located on the right side of the road? 1096,657 810,766 782,762 587,767 -403 000740__largest_in_class_0 images_annotated/000740_000740__largest_in_class_0.jpg Which car on the left is the largest? 136,777 69,849 197,774 228,773 -404 000740__relation_nearest_to_unique_13 images_annotated/000740_000740__relation_nearest_to_unique_13.jpg Which car is closest to the stop sign? 780,761 581,766 808,766 519,764 -405 000740__quadrant_hint_12 images_annotated/000740_000740__quadrant_hint_12.jpg Tap the red stop sign on the right side of the road. 808,766 1110,652 780,761 581,766 -406 000745__rightmost_in_class_13 images_annotated/000745_000745__rightmost_in_class_13.jpg Tap the car that is farthest to the right. 1686,711 1761,704 804,767 776,761 -407 000745__largest_in_class_11 images_annotated/000745_000745__largest_in_class_11.jpg Find the largest car in the image. 171,769 363,770 244,831 88,774 -408 000745__unique_class_3 images_annotated/000745_000745__unique_class_3.jpg Find the only stop sign in the image. 1121,647 804,767 776,761 734,762 -409 000750__relation_nearest_to_unique_0 images_annotated/000750_000750__relation_nearest_to_unique_0.jpg Point to the car nearest to the stop sign. 773,760 567,764 505,763 801,769 -410 000750__largest_in_class_5 images_annotated/000750_000750__largest_in_class_5.jpg Find the largest car parked on the left side of the road. 188,835 63,772 341,769 394,809 -411 000750__leftmost_in_class_4 images_annotated/000750_000750__leftmost_in_class_4.jpg Which car is the leftmost one parked on the street? 189,835 341,769 63,772 394,809 -412 000755__largest_in_class_10 images_annotated/000755_000755__largest_in_class_10.jpg Find the largest car in the scene. 36,771 257,770 326,767 127,841 -413 000755__relation_nearest_to_unique_11 images_annotated/000755_000755__relation_nearest_to_unique_11.jpg Point to the car nearest to the stop sign. 795,769 768,760 560,763 498,761 -414 000755__rightmost_in_class_0 images_annotated/000755_000755__rightmost_in_class_0.jpg Point to the rightmost car in the image. 1711,710 795,769 1784,702 768,760 -415 000760__leftmost_in_class_9 images_annotated/000760_000760__leftmost_in_class_9.jpg Find the car that is farthest to the left on the road. 218,767 309,765 329,814 100,845 -416 000760__relation_nearest_to_unique_8 images_annotated/000760_000760__relation_nearest_to_unique_8.jpg Which car is closest to the stop sign? 790,769 824,755 764,758 727,758 -417 000760__unique_class_7 images_annotated/000760_000760__unique_class_7.jpg Find the red octagonal stop sign on the right side of the road. 823,755 790,769 764,758 1171,626 -418 000765__largest_in_class_9 images_annotated/000765_000765__largest_in_class_9.jpg Point to the largest car on the left side of the road. 69,840 156,776 191,768 292,818 -419 000765__rightmost_in_class_4 images_annotated/000765_000765__rightmost_in_class_4.jpg Point to the car on the far right of the road. 1735,711 820,757 784,773 1809,703 -420 000765__quadrant_hint_5 images_annotated/000765_000765__quadrant_hint_5.jpg Where is the stop sign located on the right side of the road? 820,757 784,773 1190,620 758,760 -421 000770__largest_in_class_7 images_annotated/000770_000770__largest_in_class_7.jpg Find the largest car in the image. 252,829 169,770 366,765 108,784 -422 000770__relation_nearest_to_unique_9 images_annotated/000770_000770__relation_nearest_to_unique_9.jpg Point to the car nearest to the stop sign. 777,779 820,760 721,763 540,766 -423 000770__quadrant_hint_11 images_annotated/000770_000770__quadrant_hint_11.jpg Point to the road sign in the lower right quadrant. 820,760 777,779 1213,616 721,763 -424 000775__bottommost_in_class_3 images_annotated/000775_000775__bottommost_in_class_3.jpg Where is the car that is lowest on the road? 207,830 141,769 275,765 70,779 -425 000775__relation_nearest_to_unique_12 images_annotated/000775_000775__relation_nearest_to_unique_12.jpg Which car is nearest to the red stop sign? 771,782 818,760 719,763 534,766 -426 000775__leftmost_in_class_0 images_annotated/000775_000775__leftmost_in_class_0.jpg Point to the leftmost car on the road. 141,769 207,830 275,765 69,779 -427 000780__largest_in_class_15 images_annotated/000780_000780__largest_in_class_15.jpg Find the largest car in the image. 116,758 159,836 256,766 54,777 -428 000780__relation_nearest_to_unique_11 images_annotated/000780_000780__relation_nearest_to_unique_11.jpg Which car is nearest to the stop sign? 761,786 818,761 716,763 527,766 -429 000780__unique_class_5 images_annotated/000780_000780__unique_class_5.jpg Point to the red stop sign on the right side of the road. 818,761 1771,717 1261,600 761,786 -430 000785__bottommost_in_class_6 images_annotated/000785_000785__bottommost_in_class_6.jpg Where is the bottommost car in the image? 92,747 37,771 115,839 239,766 -431 000785__leftmost_in_class_7 images_annotated/000785_000785__leftmost_in_class_7.jpg Point to the leftmost car in the scene. 92,747 36,771 116,839 239,766 -432 000785__rightmost_in_class_1 images_annotated/000785_000785__rightmost_in_class_1.jpg Point to the rightmost car in the scene. 1782,718 1853,711 817,762 749,791 -433 000790__largest_in_class_5 images_annotated/000790_000790__largest_in_class_5.jpg Which car on the left is the largest? 74,739 216,764 94,842 320,763 -434 000790__rightmost_in_class_7 images_annotated/000790_000790__rightmost_in_class_7.jpg Which car is on the far right side of the road? 1862,711 1793,718 817,761 734,796 -435 000790__unique_class_8 images_annotated/000790_000790__unique_class_8.jpg Where is the only stop sign in the scene? 1793,718 1317,581 817,761 1862,711 -436 000795__bottommost_in_class_7 images_annotated/000795_000795__bottommost_in_class_7.jpg Which car is at the bottom of the frame? 59,751 199,764 73,838 308,763 -437 000795__rightmost_in_class_12 images_annotated/000795_000795__rightmost_in_class_12.jpg Tap the car that is farthest to the right. 1804,717 816,761 771,760 1872,711 -438 000795__unique_class_6 images_annotated/000795_000795__unique_class_6.jpg Point to the stop sign. 1804,717 1348,569 1872,711 816,761 -439 000800__relation_nearest_to_unique_9 images_annotated/000800_000800__relation_nearest_to_unique_9.jpg Which car is nearest to the stop sign? 1882,713 816,762 768,761 1814,718 -440 000800__closest_to_center_7 images_annotated/000800_000800__closest_to_center_7.jpg Find the car that is closest to the center of the image. 816,762 768,761 694,814 502,765 -441 000800__closest_bottom_edge_4 images_annotated/000800_000800__closest_bottom_edge_4.jpg Which car is closest to the bottom edge of the image? 49,758 185,764 48,840 298,763 -442 000805__relation_nearest_to_unique_4 images_annotated/000805_000805__relation_nearest_to_unique_4.jpg Which car is closest to the stop sign? 1892,710 817,761 1824,718 765,760 -443 000805__largest_in_class_3 images_annotated/000805_000805__largest_in_class_3.jpg Find the largest car on the road. 662,827 736,767 765,760 817,761 -444 000805__rightmost_in_class_0 images_annotated/000805_000805__rightmost_in_class_0.jpg Point to the rightmost car in the image. 1824,718 817,761 765,760 1891,710 -445 000810__leftmost_in_class_4 images_annotated/000810_000810__leftmost_in_class_4.jpg Which car is the leftmost one in the image? 157,760 278,760 323,758 33,761 -446 000810__relation_nearest_to_unique_7 images_annotated/000810_000810__relation_nearest_to_unique_7.jpg Find the car closest to the stop sign. 1897,713 1834,718 815,761 763,760 -447 000810__unique_class_8 images_annotated/000810_000810__unique_class_8.jpg Where is the stop sign located? 1834,718 1897,713 1453,531 815,761 -448 000815__largest_in_class_0 images_annotated/000815_000815__largest_in_class_0.jpg Which car is the largest in the scene? 470,761 551,875 412,758 713,768 -449 000815__leftmost_in_class_3 images_annotated/000815_000815__leftmost_in_class_3.jpg Find the car that is farthest to the left. 267,759 315,758 142,760 338,748 -450 000815__closest_to_center_11 images_annotated/000815_000815__closest_to_center_11.jpg Which car is closest to the center of the image? 762,760 713,768 551,875 812,761 -451 000820__bottommost_in_class_1 images_annotated/000820_000820__bottommost_in_class_1.jpg Where is the bottommost car? 330,751 303,756 434,933 256,762 -452 000820__leftmost_in_class_0 images_annotated/000820_000820__leftmost_in_class_0.jpg Point to the leftmost car in the scene. 256,762 303,756 330,751 127,762 -453 000820__unique_class_3 images_annotated/000820_000820__unique_class_3.jpg Point to the only road sign in the image. 1849,722 1530,507 1904,714 812,764 -454 000825__largest_in_class_0 images_annotated/000825_000825__largest_in_class_0.jpg Which car is the largest in the scene? 481,771 695,778 265,1016 756,768 -455 000825__closest_to_center_6 images_annotated/000825_000825__closest_to_center_6.jpg Tap the car closest to the center of the road. 756,768 810,768 695,778 481,771 -456 000825__rightmost_in_class_3 images_annotated/000825_000825__rightmost_in_class_3.jpg Where is the rightmost car on the road? 1907,719 1856,725 1799,726 810,768 -457 000830__relation_nearest_to_unique_8 images_annotated/000830_000830__relation_nearest_to_unique_8.jpg Find the car that is nearest to the red stop sign. 1909,720 808,770 754,769 1862,726 -458 000830__closest_to_center_2 images_annotated/000830_000830__closest_to_center_2.jpg Point to the car closest to the center of the image. 808,770 754,769 683,781 465,771 -459 000830__unique_class_10 images_annotated/000830_000830__unique_class_10.jpg Where is the only road sign in the scene? 1862,726 1620,475 1909,720 808,770 -460 000835__largest_in_class_5 images_annotated/000835_000835__largest_in_class_5.jpg Where is the largest car on the road? 380,762 459,770 340,766 307,755 -461 000835__rightmost_in_class_8 images_annotated/000835_000835__rightmost_in_class_8.jpg Tap the rightmost car in the image. 806,768 752,767 1868,724 713,765 -462 000835__smallest_in_class_4 images_annotated/000835_000835__smallest_in_class_4.jpg Find the smallest car in the scene. 752,767 673,782 806,768 712,765 -463 000840__quadrant_hint_9 images_annotated/000840_000840__quadrant_hint_9.jpg Tap the car in the lower right corner of the image. 804,764 750,763 1876,720 711,760 -464 000840__leftmost_in_class_6 images_annotated/000840_000840__leftmost_in_class_6.jpg Point to the leftmost car on the road. 213,759 65,759 266,759 299,750 -465 000840__unique_class_8 images_annotated/000840_000840__unique_class_8.jpg Where is the only stop sign in the scene? 1876,720 804,764 750,763 1732,428 -466 000845__quadrant_hint_1 images_annotated/000845_000845__quadrant_hint_1.jpg Where is the car in the lower right quadrant? 802,765 748,763 1884,721 709,760 -467 000845__unique_class_5 images_annotated/000845_000845__unique_class_5.jpg Point to the only road sign in the image. 1793,403 1883,721 802,765 748,763 -468 000845__closest_to_center_0 images_annotated/000845_000845__closest_to_center_0.jpg Point to the car closest to the center of the image. 748,763 709,760 695,763 803,765 -469 000850__rightmost_in_class_9 images_annotated/000850_000850__rightmost_in_class_9.jpg Which car is the rightmost one in the image? 1826,722 800,765 1891,720 746,764 -470 000850__closest_to_center_13 images_annotated/000850_000850__closest_to_center_13.jpg Which car is closest to the center of the image? 746,764 801,765 707,760 689,763 -471 000850__quadrant_hint_10 images_annotated/000850_000850__quadrant_hint_10.jpg Point to the road sign in the upper right quadrant. 1891,720 1826,722 800,765 1860,376 -472 000855__leftmost_in_class_1 images_annotated/000855_000855__leftmost_in_class_1.jpg Point to the leftmost car on the road. 183,756 241,755 279,736 42,756 -473 000855__closest_bottom_edge_9 images_annotated/000855_000855__closest_bottom_edge_9.jpg Which car is closest to the bottom edge of the frame? 614,785 686,761 706,757 745,761 -474 000855__rightmost_in_class_5 images_annotated/000855_000855__rightmost_in_class_5.jpg Where is the rightmost car in the image? 1831,719 799,763 1897,718 745,761 -475 000860__largest_in_class_8 images_annotated/000860_000860__largest_in_class_8.jpg Which car has the largest area in the image? 593,788 685,762 705,758 744,762 -476 000860__closest_to_center_10 images_annotated/000860_000860__closest_to_center_10.jpg Which car is closest to the center of the image? 744,762 705,758 685,762 797,762 -477 000860__leftmost_in_class_7 images_annotated/000860_000860__leftmost_in_class_7.jpg Point to the leftmost car in the image. 174,756 36,756 235,755 286,760 -478 000865__bottommost_in_class_9 images_annotated/000865_000865__bottommost_in_class_9.jpg Point to the car that is lowest in the image. 684,759 705,756 428,760 570,789 -479 000865__leftmost_in_class_4 images_annotated/000865_000865__leftmost_in_class_4.jpg Where is the leftmost car on the road? 167,753 227,752 33,753 274,757 -480 000865__smallest_in_class_2 images_annotated/000865_000865__smallest_in_class_2.jpg Find the smallest car in the image. 705,756 684,759 743,759 797,761 -481 000870__largest_in_class_8 images_annotated/000870_000870__largest_in_class_8.jpg Find the largest car in the image. 543,796 425,760 683,759 704,756 -482 000870__leftmost_in_class_0 images_annotated/000870_000870__leftmost_in_class_0.jpg Which car is the leftmost one in the image? 159,753 222,748 261,758 25,753 -483 000870__rightmost_in_class_12 images_annotated/000870_000870__rightmost_in_class_12.jpg Point to the rightmost car in the image. 1847,717 795,762 1907,715 778,752 -484 000875__bottommost_in_class_3 images_annotated/000875_000875__bottommost_in_class_3.jpg Find the car that is lowest in the frame. 420,761 682,762 513,804 334,756 -485 000875__leftmost_in_class_9 images_annotated/000875_000875__leftmost_in_class_9.jpg Where is the car on the far left side of the road? 19,754 152,755 213,746 249,760 -486 000875__rightmost_in_class_8 images_annotated/000875_000875__rightmost_in_class_8.jpg Point to the car on the far right edge of the image. 1851,719 1910,717 794,764 742,761 -487 000880__largest_in_class_10 images_annotated/000880_000880__largest_in_class_10.jpg Point to the largest car visible in the image. 399,761 329,755 472,811 294,751 -488 000880__closest_to_center_4 images_annotated/000880_000880__closest_to_center_4.jpg Point to the car closest to the center of the image. 742,762 704,758 682,762 793,766 -489 000880__quadrant_hint_6 images_annotated/000880_000880__quadrant_hint_6.jpg Find the car in the lower right quadrant of the image. 1855,719 793,766 742,762 704,758 -490 000885__bottommost_in_class_6 images_annotated/000885_000885__bottommost_in_class_6.jpg Where is the car that is lowest in the frame? 326,755 289,750 224,761 428,818 -491 000885__leftmost_in_class_3 images_annotated/000885_000885__leftmost_in_class_3.jpg Point to the leftmost car in the image. 140,756 13,755 224,761 289,750 -492 000885__quadrant_hint_10 images_annotated/000885_000885__quadrant_hint_10.jpg Point to the car in the lower right quadrant. 1859,719 791,766 742,763 705,759 -493 000890__largest_in_class_8 images_annotated/000890_000890__largest_in_class_8.jpg Find the largest car in the image. 288,747 210,761 132,757 372,831 -494 000890__rightmost_in_class_1 images_annotated/000890_000890__rightmost_in_class_1.jpg Which car is the rightmost one in the image? 1862,719 790,767 741,764 705,759 -495 000890__leftmost_in_class_0 images_annotated/000890_000890__leftmost_in_class_0.jpg Point to the leftmost car in the scene. 210,761 288,747 132,757 372,831 -496 000895__bottommost_in_class_2 images_annotated/000895_000895__bottommost_in_class_2.jpg Which car is closest to the bottom of the frame? 189,761 450,766 300,843 127,757 -497 000895__rightmost_in_class_7 images_annotated/000895_000895__rightmost_in_class_7.jpg Point to the car on the far right of the road. 789,769 1866,719 741,765 705,761 -498 000895__leftmost_in_class_1 images_annotated/000895_000895__leftmost_in_class_1.jpg Point to the white car on the far left. 127,757 189,761 300,844 450,766 -499 000900__largest_in_class_5 images_annotated/000900_000900__largest_in_class_5.jpg Which car is the largest in the scene? 423,766 209,864 682,764 705,761 -500 000900__rightmost_in_class_6 images_annotated/000900_000900__rightmost_in_class_6.jpg Which car is the rightmost one in the image? 787,770 741,765 1866,719 705,761 -501 000905__leftmost_in_class_7 images_annotated/000905_000905__leftmost_in_class_7.jpg Where is the leftmost car in the scene? 325,759 156,885 410,767 682,765 -502 000905__quadrant_hint_2 images_annotated/000905_000905__quadrant_hint_2.jpg Point to the car on the far right of the road. 786,772 740,767 705,762 1868,720 -503 000910__largest_in_class_8 images_annotated/000910_000910__largest_in_class_8.jpg Where is the largest car in the image? 254,758 288,750 320,759 108,878 -504 000910__rightmost_in_class_5 images_annotated/000910_000910__rightmost_in_class_5.jpg Find the car that is furthest to the right in the image. 784,773 1870,719 739,766 705,762 -505 000915__leftmost_in_class_1 images_annotated/000915_000915__leftmost_in_class_1.jpg Point to the leftmost car in the image. 198,760 136,767 225,743 258,759 -506 000915__largest_in_class_2 images_annotated/000915_000915__largest_in_class_2.jpg Find the largest car in the image. 321,760 289,751 409,768 258,759 -507 000915__quadrant_hint_8 images_annotated/000915_000915__quadrant_hint_8.jpg Where is the car on the far right of the image? 782,773 739,767 705,763 1870,719 -508 000920__quadrant_hint_9 images_annotated/000920_000920__quadrant_hint_9.jpg Find the car on the far right side of the road. 1872,720 779,775 738,767 704,763 -509 000920__leftmost_in_class_1 images_annotated/000920_000920__leftmost_in_class_1.jpg Point to the leftmost car in the row of parked vehicles. 196,760 117,768 225,743 262,760 -510 000925__largest_in_class_0 images_annotated/000925_000925__largest_in_class_0.jpg Which car is the largest in the image? 196,759 224,743 248,749 100,768 -511 000925__rightmost_in_class_5 images_annotated/000925_000925__rightmost_in_class_5.jpg Where is the rightmost car in the image? 777,776 737,768 705,763 1872,719 -512 000930__leftmost_in_class_12 images_annotated/000930_000930__leftmost_in_class_12.jpg Tap the car that is closest to the left edge of the road. 151,762 81,770 196,760 226,744 -513 000930__quadrant_hint_8 images_annotated/000930_000930__quadrant_hint_8.jpg Point to the car on the far right side of the road. 774,777 736,769 1874,719 706,764 -514 000935__largest_in_class_2 images_annotated/000935_000935__largest_in_class_2.jpg Which car on the left is the largest? 144,763 65,770 196,762 226,745 -515 000935__rightmost_in_class_8 images_annotated/000935_000935__rightmost_in_class_8.jpg Find the rightmost car in the image. 1874,720 771,779 734,770 704,765 -516 000940__largest_in_class_2 images_annotated/000940_000940__largest_in_class_2.jpg Which car is the largest in the scene? 325,763 411,772 277,766 248,753 -517 000940__quadrant_hint_10 images_annotated/000940_000940__quadrant_hint_10.jpg Find the car on the far right side of the road. 768,783 732,771 1874,720 704,766 -518 000940__leftmost_in_class_5 images_annotated/000940_000940__leftmost_in_class_5.jpg Point to the leftmost car in the image. 141,763 196,763 56,771 225,750 -519 000945__rightmost_in_class_2 images_annotated/000945_000945__rightmost_in_class_2.jpg Find the car that is farthest to the right in the image. 1874,720 764,782 730,773 704,766 -520 000945__largest_in_class_5 images_annotated/000945_000945__largest_in_class_5.jpg Where is the largest car on the road? 325,762 411,772 280,766 249,754 -521 000945__leftmost_in_class_8 images_annotated/000945_000945__leftmost_in_class_8.jpg Tap the car that is closest to the left edge of the image. 135,764 197,762 225,750 44,771 -522 000950__largest_in_class_5 images_annotated/000950_000950__largest_in_class_5.jpg Which car is the largest one in the scene? 325,759 283,768 411,772 249,754 -523 000950__quadrant_hint_2 images_annotated/000950_000950__quadrant_hint_2.jpg Point to the car on the far right side of the road. 794,763 1874,721 759,783 725,772 -524 000950__closest_to_center_12 images_annotated/000950_000950__closest_to_center_12.jpg Point to the car nearest to the center of the image. 795,762 759,783 725,772 704,766 -525 000955__largest_in_class_4 images_annotated/000955_000955__largest_in_class_4.jpg Which car is the largest in the image? 327,767 409,772 284,768 248,754 -526 000955__rightmost_in_class_1 images_annotated/000955_000955__rightmost_in_class_1.jpg Find the car that is farthest to the right in the image. 791,763 1874,720 755,785 722,772 -527 000955__leftmost_in_class_11 images_annotated/000955_000955__leftmost_in_class_11.jpg Point to the car on the far left side of the road. 127,764 195,764 225,747 21,772 -528 000960__largest_in_class_0 images_annotated/000960_000960__largest_in_class_0.jpg Find the largest car in the scene. 328,766 286,769 409,773 248,754 -529 000960__quadrant_hint_1 images_annotated/000960_000960__quadrant_hint_1.jpg Point to the car on the far right side of the road. 1874,720 790,763 749,787 703,766 -530 000960__closest_to_center_3 images_annotated/000960_000960__closest_to_center_3.jpg Where is the car closest to the center of the image? 749,787 789,762 703,766 683,771 -531 000965__rightmost_in_class_6 images_annotated/000965_000965__rightmost_in_class_6.jpg Tap the rightmost car in the scene. 789,763 744,788 1876,720 702,761 -532 000965__leftmost_in_class_2 images_annotated/000965_000965__leftmost_in_class_2.jpg Find the leftmost car in the image. 193,764 123,765 223,747 247,754 -533 000965__largest_in_class_1 images_annotated/000965_000965__largest_in_class_1.jpg Point to the largest car on the road. 407,773 327,766 288,769 247,754 -534 000970__leftmost_in_class_1 images_annotated/000970_000970__leftmost_in_class_1.jpg Point to the leftmost car parked on the street. 192,764 221,748 123,765 246,755 -535 000970__largest_in_class_5 images_annotated/000970_000970__largest_in_class_5.jpg Find the largest car driving in the middle lane. 327,767 407,773 288,770 246,755 -536 000970__rightmost_in_class_10 images_annotated/000970_000970__rightmost_in_class_10.jpg Which car is positioned at the far right edge of the image? 1876,719 787,763 736,790 680,770 -537 000975__closest_to_center_4 images_annotated/000975_000975__closest_to_center_4.jpg Which car is closest to the center of the image? 729,794 679,771 406,773 785,764 -538 000975__quadrant_hint_0 images_annotated/000975_000975__quadrant_hint_0.jpg Point to the car in the lower right quadrant. 786,764 729,794 679,771 1878,720 -539 000975__leftmost_in_class_8 images_annotated/000975_000975__leftmost_in_class_8.jpg Where is the car that is farthest to the left? 190,764 119,765 220,748 246,755 -540 000980__leftmost_in_class_3 images_annotated/000980_000980__leftmost_in_class_3.jpg Point to the leftmost car in the row of parked cars on the left. 115,765 187,765 220,748 244,756 -541 000980__largest_in_class_8 images_annotated/000980_000980__largest_in_class_8.jpg Find the largest car in the scene, which is in the middle of the road. 325,767 403,774 289,771 244,756 -542 000980__quadrant_hint_11 images_annotated/000980_000980__quadrant_hint_11.jpg Which car is in the lower right quadrant of the image? 1878,719 785,764 765,769 720,797 -543 000985__bottommost_in_class_8 images_annotated/000985_000985__bottommost_in_class_8.jpg Tap the car that is lowest in the frame. 710,800 760,769 784,764 402,773 -544 000985__quadrant_hint_6 images_annotated/000985_000985__quadrant_hint_6.jpg Point to the car on the far right side of the road. 784,764 1880,718 760,769 710,800 -545 000985__leftmost_in_class_7 images_annotated/000985_000985__leftmost_in_class_7.jpg Where is the car closest to the left edge of the road? 184,765 217,747 113,765 242,754 -546 000990__rightmost_in_class_9 images_annotated/000990_000990__rightmost_in_class_9.jpg Which car is the rightmost one in the image? 783,764 1882,717 758,769 698,803 -547 000990__bottommost_in_class_5 images_annotated/000990_000990__bottommost_in_class_5.jpg Where is the car that is lowest in the frame? 699,804 758,769 783,764 401,773 -548 000990__leftmost_in_class_0 images_annotated/000990_000990__leftmost_in_class_0.jpg Which car is the leftmost one in the image? 181,763 215,747 240,754 109,765 -549 000995__largest_in_class_6 images_annotated/000995_000995__largest_in_class_6.jpg Find the largest car in the image. 685,808 756,768 783,764 398,772 -550 000995__quadrant_hint_7 images_annotated/000995_000995__quadrant_hint_7.jpg Tap the car in the lower right quadrant of the image. 783,764 756,768 1884,716 685,808 -551 000995__leftmost_in_class_0 images_annotated/000995_000995__leftmost_in_class_0.jpg Point to the leftmost car in the image. 178,763 213,748 238,753 106,764 -552 001000__bottommost_in_class_7 images_annotated/001000_001000__bottommost_in_class_7.jpg Point to the car that is lowest on the road. 728,771 755,768 668,814 782,763 -553 001000__rightmost_in_class_3 images_annotated/001000_001000__rightmost_in_class_3.jpg Find the car that is furthest to the right in the image. 782,763 755,768 728,771 1885,715 -554 001000__leftmost_in_class_6 images_annotated/001000_001000__leftmost_in_class_6.jpg Where is the car closest to the left edge of the road? 102,765 174,764 210,749 235,754 -555 001005__largest_in_class_9 images_annotated/001005_001005__largest_in_class_9.jpg Which car is the largest in the image? 720,773 754,768 649,819 781,763 -556 001005__rightmost_in_class_0 images_annotated/001005_001005__rightmost_in_class_0.jpg Find the rightmost car in the scene. 1887,715 781,763 754,768 720,773 -557 001005__leftmost_in_class_2 images_annotated/001005_001005__leftmost_in_class_2.jpg Where is the leftmost car on the road? 170,762 96,765 207,748 232,753 -558 001010__bottommost_in_class_6 images_annotated/001010_001010__bottommost_in_class_6.jpg Where is the car that is lowest in the image? 711,773 752,769 780,763 624,828 -559 001010__quadrant_hint_1 images_annotated/001010_001010__quadrant_hint_1.jpg Point to the car on the far right of the road. 780,763 752,769 1891,712 711,773 -560 001010__leftmost_in_class_9 images_annotated/001010_001010__leftmost_in_class_9.jpg Point to the car on the far left of the road. 164,763 90,765 203,750 230,754 -561 001015__largest_in_class_7 images_annotated/001015_001015__largest_in_class_7.jpg Find the largest car on the road. 593,838 703,773 750,768 779,763 -562 001015__rightmost_in_class_11 images_annotated/001015_001015__rightmost_in_class_11.jpg Point to the rightmost car in the scene. 779,763 750,768 1893,711 703,773 -563 001015__leftmost_in_class_4 images_annotated/001015_001015__leftmost_in_class_4.jpg Point to the leftmost car in the image. 84,765 160,764 198,749 227,754 -564 001020__bottommost_in_class_11 images_annotated/001020_001020__bottommost_in_class_11.jpg Point to the car that is lowest in the frame. 557,850 698,775 385,773 748,768 -565 001020__quadrant_hint_2 images_annotated/001020_001020__quadrant_hint_2.jpg Point to the car on the far right side of the road. 778,764 1897,711 748,768 698,775 -566 001020__leftmost_in_class_3 images_annotated/001020_001020__leftmost_in_class_3.jpg Which car is the leftmost one in the row of parked vehicles? 155,765 196,751 224,753 79,766 -567 001025__largest_in_class_7 images_annotated/001025_001025__largest_in_class_7.jpg Where is the largest car in the scene? 499,870 379,771 693,776 279,776 -568 001025__rightmost_in_class_6 images_annotated/001025_001025__rightmost_in_class_6.jpg Which car is the furthest to the right on the road? 777,764 1899,710 746,769 693,776 -569 001025__leftmost_in_class_0 images_annotated/001025_001025__leftmost_in_class_0.jpg Point to the leftmost car in the intersection. 152,765 192,751 71,766 220,755 -570 001030__bottommost_in_class_2 images_annotated/001030_001030__bottommost_in_class_2.jpg Find the car that is lowest on the road. 271,775 417,902 235,760 215,756 -571 001030__quadrant_hint_3 images_annotated/001030_001030__quadrant_hint_3.jpg Where is the car on the far right side of the image? 776,766 745,770 686,779 1901,708 -572 001030__leftmost_in_class_10 images_annotated/001030_001030__leftmost_in_class_10.jpg Point to the car on the far left of the road. 63,767 145,767 187,754 215,756 -573 001035__largest_in_class_0 images_annotated/001035_001035__largest_in_class_0.jpg Which car is the largest in the scene? 284,951 137,767 58,770 679,782 -574 001035__rightmost_in_class_6 images_annotated/001035_001035__rightmost_in_class_6.jpg Which car is the furthest to the right? 775,767 1903,708 743,772 679,782 -575 001035__leftmost_in_class_1 images_annotated/001035_001035__leftmost_in_class_1.jpg Point to the car on the far left of the image. 58,770 137,767 285,952 679,782 -576 001040__leftmost_in_class_0 images_annotated/001040_001040__leftmost_in_class_0.jpg Find the leftmost car in the image. 397,775 213,1017 672,785 742,775 -577 001040__relation_right_of_unique_2 images_annotated/001040_001040__relation_right_of_unique_2.jpg Find the car to the right of the person. 773,770 742,775 1903,708 672,785 -578 001040__relation_nearest_to_unique_1 images_annotated/001040_001040__relation_nearest_to_unique_1.jpg Point to the car nearest to the person. 742,775 672,785 397,775 774,770 -579 001045__rightmost_in_class_3 images_annotated/001045_001045__rightmost_in_class_3.jpg Tap the rightmost car in the scene. 772,771 1907,708 739,776 662,788 -580 001045__unique_class_8 images_annotated/001045_001045__unique_class_8.jpg Where is the person in the scene? 772,771 739,776 662,788 1112,767 -581 001045__relation_nearest_to_unique_2 images_annotated/001045_001045__relation_nearest_to_unique_2.jpg Point to the car nearest to the person. 739,776 662,788 772,771 359,783 -582 001050__largest_in_class_2 images_annotated/001050_001050__largest_in_class_2.jpg Point to the largest car in the scene. 248,789 351,785 208,767 191,765 -583 001050__leftmost_in_class_7 images_annotated/001050_001050__leftmost_in_class_7.jpg Where is the leftmost car on the road? 107,776 147,758 40,777 163,761 -584 001050__rightmost_in_class_12 images_annotated/001050_001050__rightmost_in_class_12.jpg Tap the car that is farthest to the right in the image. 771,773 1908,707 738,778 698,773 -585 001055__largest_in_class_2 images_annotated/001055_001055__largest_in_class_2.jpg Find the largest car in the scene. 240,791 200,767 344,784 185,765 -586 001055__leftmost_in_class_8 images_annotated/001055_001055__leftmost_in_class_8.jpg Point to the leftmost car on the road. 96,775 156,761 185,765 36,777 -587 001060__largest_in_class_3 images_annotated/001060_001060__largest_in_class_3.jpg Find the largest car in the scene. 230,792 176,766 149,759 336,784 -588 001060__leftmost_in_class_4 images_annotated/001060_001060__leftmost_in_class_4.jpg Point to the leftmost car in the image. 29,779 84,777 119,763 149,759 -589 001065__largest_in_class_5 images_annotated/001065_001065__largest_in_class_5.jpg Which car is the largest in the scene? 218,792 168,765 328,784 142,760 -590 001065__leftmost_in_class_10 images_annotated/001065_001065__leftmost_in_class_10.jpg Point to the leftmost car in the image. 73,776 112,762 21,777 142,760 -591 001065__closest_to_center_11 images_annotated/001065_001065__closest_to_center_11.jpg Find the car closest to the center of the image. 731,777 688,772 670,775 766,771 -592 001070__largest_in_class_10 images_annotated/001070_001070__largest_in_class_10.jpg Find the largest car in the scene. 204,796 157,766 134,762 319,786 -593 001070__closest_left_edge_11 images_annotated/001070_001070__closest_left_edge_11.jpg Where is the car closest to the left edge of the frame? 13,778 53,778 103,763 134,762 -594 001070__closest_to_center_0 images_annotated/001070_001070__closest_to_center_0.jpg Point to the car closest to the center of the image. 762,771 728,777 685,772 662,776 -595 001075__leftmost_in_class_2 images_annotated/001075_001075__leftmost_in_class_2.jpg Point to the leftmost car in the scene. 96,764 38,778 125,762 145,766 -596 001075__largest_in_class_5 images_annotated/001075_001075__largest_in_class_5.jpg Find the largest car on the road. 311,787 189,797 145,766 125,762 -597 001075__closest_to_center_6 images_annotated/001075_001075__closest_to_center_6.jpg Where is the car closest to the center of the image? 725,777 682,772 760,771 652,778 -598 001080__largest_in_class_9 images_annotated/001080_001080__largest_in_class_9.jpg Tap the largest car in the scene. 650,777 680,771 721,777 538,809 -599 001080__closest_right_edge_0 images_annotated/001080_001080__closest_right_edge_0.jpg Find the car closest to the right edge of the frame. 760,770 721,777 680,771 801,759 -600 001080__leftmost_in_class_1 images_annotated/001080_001080__leftmost_in_class_1.jpg Where is the leftmost car in the image? 83,765 31,779 117,762 173,799 -601 001085__leftmost_in_class_10 images_annotated/001085_001085__leftmost_in_class_10.jpg Tap the leftmost car in the scene. 23,777 73,764 106,759 151,800 -602 001085__largest_in_class_6 images_annotated/001085_001085__largest_in_class_6.jpg Which car is the largest in the image? 645,777 677,770 718,776 503,813 -603 001085__quadrant_hint_3 images_annotated/001085_001085__quadrant_hint_3.jpg Find the person on the far right side of the image. 1142,758 798,759 758,769 718,776 -604 001090__largest_in_class_5 images_annotated/001090_001090__largest_in_class_5.jpg Find the largest car in the image. 642,776 459,821 273,786 674,770 -605 001090__closest_left_edge_2 images_annotated/001090_001090__closest_left_edge_2.jpg Which car is closest to the left edge of the image? 15,778 62,765 126,804 180,770 -606 001090__quadrant_hint_0 images_annotated/001090_001090__quadrant_hint_0.jpg Where is the person located in the lower right quadrant? 1065,699 1146,758 796,758 755,769 -607 001095__bottommost_in_class_0 images_annotated/001095_001095__bottommost_in_class_0.jpg Find the car that is lowest on the road. 257,789 638,778 161,779 401,836 -608 001095__quadrant_hint_5 images_annotated/001095_001095__quadrant_hint_5.jpg Find the person on the right side of the image. 1068,698 794,760 1152,759 753,770 -609 001100__relation_nearest_to_unique_3 images_annotated/001100_001100__relation_nearest_to_unique_3.jpg Where is the road sign nearest to the person? 1072,698 792,761 1158,760 750,772 -610 001100__quadrant_hint_2 images_annotated/001100_001100__quadrant_hint_2.jpg Where is the road sign located in the lower right quadrant? 1071,698 1158,760 792,761 750,772 -611 001105__largest_in_class_7 images_annotated/001105_001105__largest_in_class_7.jpg Find the largest car on the road. 36,810 628,780 660,772 213,868 -612 001105__leftmost_in_class_0 images_annotated/001105_001105__leftmost_in_class_0.jpg Point to the leftmost car on the road. 213,868 628,780 36,810 660,772 -613 001105__quadrant_hint_1 images_annotated/001105_001105__quadrant_hint_1.jpg Point to the person on the right side of the image. 1164,758 1076,695 789,760 747,772 -614 001110__quadrant_hint_1 images_annotated/001110_001110__quadrant_hint_1.jpg Where is the person located in the lower right section of the image? 1080,693 1169,758 786,761 743,772 -615 001110__unique_class_0 images_annotated/001110_001110__unique_class_0.jpg Point to the road sign on the right side of the road. 1170,758 786,761 1079,693 743,772 -616 001115__leftmost_in_class_0 images_annotated/001115_001115__leftmost_in_class_0.jpg Find the leftmost car in the image. 71,901 203,798 617,783 650,773 -617 001115__unique_class_7 images_annotated/001115_001115__unique_class_7.jpg Where is the person standing on the right side of the road? 1085,695 1177,762 783,764 738,777 -618 001120__unique_class_0 images_annotated/001120_001120__unique_class_0.jpg Point to the road sign on the right side of the road. 1183,760 779,767 734,779 1091,696 -619 001120__relation_nearest_to_unique_1 images_annotated/001120_001120__relation_nearest_to_unique_1.jpg Point to the road sign nearest to the person. 1090,696 1173,712 779,767 734,779 -620 001125__largest_in_class_3 images_annotated/001125_001125__largest_in_class_3.jpg Point to the largest car on the road. 150,804 45,789 602,790 666,793 -621 001125__leftmost_in_class_2 images_annotated/001125_001125__leftmost_in_class_2.jpg Where is the leftmost car in the scene? 149,804 44,789 602,790 666,793 -622 001125__smallest_in_class_0 images_annotated/001125_001125__smallest_in_class_0.jpg Find the smallest car in the image. 729,782 666,793 776,769 602,790 -623 001130__largest_in_class_4 images_annotated/001130_001130__largest_in_class_4.jpg Find the largest car in the image. 25,790 591,792 121,806 654,796 -624 001130__relation_nearest_to_unique_5 images_annotated/001130_001130__relation_nearest_to_unique_5.jpg Which car is closest to the road sign? 724,784 772,770 654,796 591,792 -625 001130__leftmost_in_class_6 images_annotated/001130_001130__leftmost_in_class_6.jpg Tap the car that is farthest to the left. 25,789 121,806 591,792 654,796 -626 001135__leftmost_in_class_1 images_annotated/001135_001135__leftmost_in_class_1.jpg Which car is the leftmost in the scene? 580,793 639,800 718,785 96,806 -627 001135__relation_nearest_to_unique_5 images_annotated/001135_001135__relation_nearest_to_unique_5.jpg Find the car nearest to the road sign. 718,785 639,800 766,772 580,793 -628 001135__quadrant_hint_0 images_annotated/001135_001135__quadrant_hint_0.jpg Where is the road sign in the lower right quadrant? 1207,770 766,772 718,785 1108,696 -629 001140__quadrant_hint_2 images_annotated/001140_001140__quadrant_hint_2.jpg Find the person on the right side of the road. 1217,771 1114,694 761,774 711,787 -630 001140__relation_nearest_to_unique_3 images_annotated/001140_001140__relation_nearest_to_unique_3.jpg Where is the person nearest to the road sign? 1218,771 1127,710 761,774 711,787 -631 001145__quadrant_hint_3 images_annotated/001145_001145__quadrant_hint_3.jpg Find the car in the lower right corner of the image. 756,774 706,788 660,781 1665,715 -632 001145__unique_class_5 images_annotated/001145_001145__unique_class_5.jpg Where is the person standing on the sidewalk? 1233,772 1121,692 1665,715 756,774 -633 001145__relation_nearest_to_unique_0 images_annotated/001145_001145__relation_nearest_to_unique_0.jpg Which car is nearest to the white van on the left? 706,788 660,781 604,807 756,774 -634 001150__largest_in_class_1 images_annotated/001150_001150__largest_in_class_1.jpg Which car is the largest? 48,810 582,808 647,782 699,788 -635 001150__quadrant_hint_0 images_annotated/001150_001150__quadrant_hint_0.jpg Find the car in the lower right corner. 749,774 699,788 647,782 1670,715 -636 001150__unique_class_2 images_annotated/001150_001150__unique_class_2.jpg Point to the road sign. 1131,688 1244,772 749,774 699,788 -637 001155__smallest_in_class_2 images_annotated/001155_001155__smallest_in_class_2.jpg Which car is the smallest in the image? 1676,714 745,775 692,790 637,783 -638 001155__unique_class_0 images_annotated/001155_001155__unique_class_0.jpg Point to the road sign on the pole. 1258,771 745,775 1139,685 692,790 -639 001160__smallest_in_class_2 images_annotated/001160_001160__smallest_in_class_2.jpg Which car is the smallest in the image? 738,775 685,791 1684,713 631,784 -640 001160__relation_nearest_to_unique_1 images_annotated/001160_001160__relation_nearest_to_unique_1.jpg Which car is closest to the person? 1151,681 1277,772 1683,713 738,775 -641 001165__largest_in_class_3 images_annotated/001165_001165__largest_in_class_3.jpg Which car is the largest in the scene? 584,789 623,782 486,823 677,789 -642 001165__relation_nearest_to_unique_5 images_annotated/001165_001165__relation_nearest_to_unique_5.jpg Which car is nearest to the person? 733,774 677,789 1690,708 623,782 -643 001165__relation_nearest_to_unique_4 images_annotated/001165_001165__relation_nearest_to_unique_4.jpg Which person is closest to the road sign? 1293,772 733,774 677,789 1180,694 -644 001170__smallest_in_class_2 images_annotated/001170_001170__smallest_in_class_2.jpg Which car is the smallest in the image? 728,773 669,788 616,781 1697,706 -645 001170__unique_class_1 images_annotated/001170_001170__unique_class_1.jpg Point to the road sign on the right side of the road. 1181,669 1315,768 728,773 1698,706 -646 001175__largest_in_class_3 images_annotated/001175_001175__largest_in_class_3.jpg Find the largest car on the road. 371,837 508,795 561,786 607,780 -647 001175__quadrant_hint_6 images_annotated/001175_001175__quadrant_hint_6.jpg Tap the person standing on the grassy area. 1197,662 1707,704 722,772 1338,765 -648 001180__quadrant_hint_0 images_annotated/001180_001180__quadrant_hint_0.jpg Point to the car on the far right side of the road. 716,773 1713,701 653,791 598,781 -649 001180__unique_class_1 images_annotated/001180_001180__unique_class_1.jpg Where is the road sign located? 1366,767 1713,701 716,773 1219,656 -650 001185__leftmost_in_class_1 images_annotated/001185_001185__leftmost_in_class_1.jpg Find the leftmost car in the image. 462,802 171,878 539,790 588,784 -651 001185__rightmost_in_class_3 images_annotated/001185_001185__rightmost_in_class_3.jpg Point to the rightmost car in the scene. 1724,701 769,762 710,774 641,794 -652 001185__smallest_in_class_4 images_annotated/001185_001185__smallest_in_class_4.jpg Find the smallest car on the road. 710,774 641,794 588,784 770,762 -653 001190__pair_size_4 images_annotated/001190_001190__pair_size_4.jpg Which of the two road signs is larger? 1269,639 1264,592 1431,764 1734,697 -654 001190__smallest_in_class_3 images_annotated/001190_001190__smallest_in_class_3.jpg Which car is the smallest one in the image? 703,773 766,760 629,793 577,782 -655 001190__unique_class_5 images_annotated/001190_001190__unique_class_5.jpg Where is the only person in the scene? 1430,764 1270,639 1264,592 1734,697 -656 001195__leftmost_in_class_4 images_annotated/001195_001195__leftmost_in_class_4.jpg Which car is the leftmost in the image? 424,804 514,789 564,783 614,797 -657 001195__relation_nearest_to_unique_1 images_annotated/001195_001195__relation_nearest_to_unique_1.jpg Find the road sign that is nearest to the person. 1295,580 1472,765 1302,630 1744,697 -658 001200__leftmost_in_class_1 images_annotated/001200_001200__leftmost_in_class_1.jpg Point to the leftmost car in the line of traffic. 500,796 548,788 599,804 399,811 -659 001200__pair_size_6 images_annotated/001200_001200__pair_size_6.jpg Which of the two road signs is larger? 1332,570 1518,772 1338,624 1755,700 -660 001200__relation_nearest_to_unique_8 images_annotated/001200_001200__relation_nearest_to_unique_8.jpg Which car is nearest to the person? 1755,700 759,766 726,763 688,780 -661 001205__pair_size_2 images_annotated/001205_001205__pair_size_2.jpg Which of the two road signs is the larger one? 1374,553 1382,615 1569,777 1766,699 -662 001205__smallest_in_class_8 images_annotated/001205_001205__smallest_in_class_8.jpg Find the smallest road sign in the image. 1383,614 1569,777 1375,553 1766,699 -663 001210__rightmost_in_class_0 images_annotated/001210_001210__rightmost_in_class_0.jpg Point to the rightmost car in the scene. 751,768 1776,700 721,766 668,784 -664 001210__pair_size_2 images_annotated/001210_001210__pair_size_2.jpg Find the larger of the two road signs. 1426,535 1632,774 1776,700 1436,600 -665 001215__quadrant_hint_2 images_annotated/001215_001215__quadrant_hint_2.jpg Find the car on the far right side of the road. 746,768 718,766 1788,699 656,786 -666 001215__relation_nearest_to_unique_0 images_annotated/001215_001215__relation_nearest_to_unique_0.jpg Which sign is closest to the person on the sidewalk? 1500,583 1488,511 1706,775 1788,699 -667 001220__rightmost_in_class_2 images_annotated/001220_001220__rightmost_in_class_2.jpg Which car is the rightmost one in the scene? 741,767 1807,696 715,763 644,786 -668 001220__relation_nearest_to_unique_6 images_annotated/001220_001220__relation_nearest_to_unique_6.jpg Which road sign is closest to the person? 1576,561 1563,479 1806,696 1788,774 -669 001220__unique_class_5 images_annotated/001220_001220__unique_class_5.jpg Point to the person walking on the sidewalk. 1806,696 1788,774 1577,560 1563,479 -670 001225__largest_in_class_2 images_annotated/001225_001225__largest_in_class_2.jpg Find the largest car on the road. 374,803 453,829 564,781 629,788 -671 001225__leftmost_in_class_1 images_annotated/001225_001225__leftmost_in_class_1.jpg Which car is the leftmost one in the image? 374,803 453,829 244,823 564,781 -672 001225__quadrant_hint_3 images_annotated/001225_001225__quadrant_hint_3.jpg Where is the heavy truck located in the lower right quadrant? 736,767 713,763 678,769 1048,733 -673 001230__largest_in_class_4 images_annotated/001230_001230__largest_in_class_4.jpg Find the largest car in the image. 405,842 512,791 550,784 195,830 -674 001230__relation_nearest_to_unique_3 images_annotated/001230_001230__relation_nearest_to_unique_3.jpg Which car is nearest to the heavy truck? 712,766 732,771 671,772 613,793 -675 001230__leftmost_in_class_7 images_annotated/001230_001230__leftmost_in_class_7.jpg Point to the leftmost car on the road. 405,842 512,791 550,784 196,830 -676 001235__leftmost_in_class_7 images_annotated/001235_001235__leftmost_in_class_7.jpg Where is the leftmost car in the scene? 342,847 132,829 487,792 533,782 -677 001235__largest_in_class_6 images_annotated/001235_001235__largest_in_class_6.jpg Find the largest car on the road. 487,792 533,782 342,847 133,829 -678 001235__smallest_in_class_0 images_annotated/001235_001235__smallest_in_class_0.jpg Which car is the smallest one on the road? 726,767 663,769 594,792 710,761 -679 001240__leftmost_in_class_0 images_annotated/001240_001240__leftmost_in_class_0.jpg Point to the leftmost car in the scene. 262,858 454,791 573,795 84,832 -680 001240__largest_in_class_1 images_annotated/001240_001240__largest_in_class_1.jpg Find the largest car in the image. 261,858 85,832 454,791 573,795 -681 001240__smallest_in_class_2 images_annotated/001240_001240__smallest_in_class_2.jpg Point to the smallest car in the image. 662,767 573,795 637,768 721,766 -682 001245__smallest_in_class_0 images_annotated/001245_001245__smallest_in_class_0.jpg Which car is the smallest one in the scene? 1870,692 717,765 1642,712 660,765 -683 001245__relation_nearest_to_unique_4 images_annotated/001245_001245__relation_nearest_to_unique_4.jpg Find the car nearest to the heavy truck. 660,765 716,765 629,769 549,798 -684 001245__largest_in_class_7 images_annotated/001245_001245__largest_in_class_7.jpg Which car is the largest one in the scene? 175,881 353,799 429,789 549,798 -685 001250__leftmost_in_class_0 images_annotated/001250_001250__leftmost_in_class_0.jpg Find the car that is farthest to the left. 291,809 129,896 401,794 519,804 -686 001250__relation_nearest_to_unique_3 images_annotated/001250_001250__relation_nearest_to_unique_3.jpg Where is the car closest to the heavy truck? 659,766 710,767 618,770 519,804 -687 001250__quadrant_hint_7 images_annotated/001250_001250__quadrant_hint_7.jpg Find the vehicle in the lower right corner of the image. 1069,728 711,767 659,766 618,770 -688 001255__largest_in_class_2 images_annotated/001255_001255__largest_in_class_2.jpg Which car on the left is the largest? 214,816 370,799 482,810 61,897 -689 001255__relation_nearest_to_unique_7 images_annotated/001255_001255__relation_nearest_to_unique_7.jpg Which car is nearest to the heavy truck? 658,768 707,770 606,774 482,810 -690 001255__rightmost_in_class_8 images_annotated/001255_001255__rightmost_in_class_8.jpg Tap the rightmost car in the image. 1673,710 706,770 658,768 1903,690 -691 001260__leftmost_in_class_4 images_annotated/001260_001260__leftmost_in_class_4.jpg Point to the leftmost car on the road. 328,804 435,825 154,820 600,777 -692 001260__smallest_in_class_5 images_annotated/001260_001260__smallest_in_class_5.jpg Which car is the smallest in the scene? 700,774 655,770 600,777 1686,712 -693 001260__unique_class_6 images_annotated/001260_001260__unique_class_6.jpg Point to the heavy truck. 700,774 1085,731 655,770 600,777 -694 001265__leftmost_in_class_2 images_annotated/001265_001265__leftmost_in_class_2.jpg Point to the leftmost car on the road. 265,809 111,832 372,838 509,788 -695 001265__rightmost_in_class_3 images_annotated/001265_001265__rightmost_in_class_3.jpg Which car is the rightmost one on the road? 1705,712 727,762 693,778 651,774 -696 001265__largest_in_class_0 images_annotated/001265_001265__largest_in_class_0.jpg Which car is the largest in the scene? 265,809 509,788 372,838 596,780 -697 001270__leftmost_in_class_6 images_annotated/001270_001270__leftmost_in_class_6.jpg Point to the car that is farthest to the left in the image. 288,855 81,838 476,795 589,782 -698 001270__closest_top_edge_3 images_annotated/001270_001270__closest_top_edge_3.jpg Find the road sign that is higher up on the pole. 265,646 262,672 288,855 476,795 -699 001270__unique_class_8 images_annotated/001270_001270__unique_class_8.jpg Tap the heavy truck on the far right side of the road. 724,763 682,781 1094,732 645,776 -700 001275__largest_in_class_8 images_annotated/001275_001275__largest_in_class_8.jpg Tap the largest car on the left side of the road. 434,798 581,782 188,880 633,771 -701 001275__unique_class_1 images_annotated/001275_001275__unique_class_1.jpg Point to the heavy truck on the far right. 722,763 668,783 633,771 1100,730 -702 001275__bottommost_in_class_5 images_annotated/001275_001275__bottommost_in_class_5.jpg Where is the bottommost road sign? 225,665 227,638 188,880 434,798 -703 001280__relation_nearest_to_unique_5 images_annotated/001280_001280__relation_nearest_to_unique_5.jpg Find the car nearest to the road sign. 407,801 569,786 653,789 138,897 -704 001280__rightmost_in_class_3 images_annotated/001280_001280__rightmost_in_class_3.jpg Point to the rightmost car in the image. 1748,709 792,755 1907,697 718,766 -705 001280__relation_nearest_to_unique_2 images_annotated/001280_001280__relation_nearest_to_unique_2.jpg Which car is nearest to the heavy truck? 791,755 718,766 653,789 569,786 -706 001285__largest_in_class_1 images_annotated/001285_001285__largest_in_class_1.jpg Point to the largest car on the left side of the road. 65,901 181,824 377,809 554,789 -707 001285__smallest_in_class_4 images_annotated/001285_001285__smallest_in_class_4.jpg Find the smallest car in the image. 716,768 854,759 632,795 554,789 -708 001285__rightmost_in_class_3 images_annotated/001285_001285__rightmost_in_class_3.jpg Where is the car that is farthest to the right in the image? 1859,701 1763,708 855,759 716,768 -709 001290__bottommost_in_class_0 images_annotated/001290_001290__bottommost_in_class_0.jpg Which road sign is the lowest on the road? 67,646 72,613 100,842 344,815 -710 001290__smallest_in_class_1 images_annotated/001290_001290__smallest_in_class_1.jpg Which road sign is the smallest in the image? 68,646 100,842 73,613 344,815 -711 001295__rightmost_in_class_3 images_annotated/001295_001295__rightmost_in_class_3.jpg Tap the rightmost car in the image. 1891,700 852,764 793,759 753,766 -712 001295__unique_class_0 images_annotated/001295_001295__unique_class_0.jpg Which point marks the heavy truck on the far right? 852,764 793,759 753,766 1116,735 -713 001295__relation_nearest_to_unique_1 images_annotated/001295_001295__relation_nearest_to_unique_1.jpg Find the car nearest to the heavy truck. 793,759 753,766 852,764 711,772 -714 001300__leftmost_in_class_1 images_annotated/001300_001300__leftmost_in_class_1.jpg Point to the leftmost car on the road. 535,819 621,787 707,775 259,827 -715 001300__rightmost_in_class_5 images_annotated/001300_001300__rightmost_in_class_5.jpg Point to the rightmost car on the road. 851,767 1805,707 792,761 751,768 -716 001300__relation_nearest_to_unique_3 images_annotated/001300_001300__relation_nearest_to_unique_3.jpg Find the car that is nearest to the heavy truck. 792,761 751,768 707,775 851,767 -717 001305__leftmost_in_class_0 images_annotated/001305_001305__leftmost_in_class_0.jpg Find the leftmost car parked on the street. 482,830 205,833 602,790 703,777 -718 001305__relation_right_of_unique_5 images_annotated/001305_001305__relation_right_of_unique_5.jpg Where is the car to the right of the blue car? 848,770 791,763 1820,706 748,771 -719 001305__relation_nearest_to_unique_3 images_annotated/001305_001305__relation_nearest_to_unique_3.jpg Which car is closest to the heavy truck? 849,770 791,763 748,771 703,777 -720 001310__relation_nearest_to_unique_2 images_annotated/001310_001310__relation_nearest_to_unique_2.jpg Which car is nearest to the blue car on the left? 843,773 788,764 696,779 632,774 -721 001310__unique_class_3 images_annotated/001310_001310__unique_class_3.jpg Find the heavy truck in the image. 842,773 1121,739 788,764 696,779 -722 001310__smallest_in_class_4 images_annotated/001310_001310__smallest_in_class_4.jpg Which car is the smallest in the image? 842,773 696,779 787,764 632,774 -723 001315__relation_nearest_to_unique_7 images_annotated/001315_001315__relation_nearest_to_unique_7.jpg Where is the car that is closest to the heavy truck? 784,765 738,771 833,777 687,782 -724 001315__leftmost_in_class_2 images_annotated/001315_001315__leftmost_in_class_2.jpg Point to the blue car on the far left. 92,853 309,870 473,812 563,802 -725 001315__unique_class_8 images_annotated/001315_001315__unique_class_8.jpg Point to the heavy truck on the right side of the road. 834,777 784,765 1121,739 738,771 -726 001320__largest_in_class_7 images_annotated/001320_001320__largest_in_class_7.jpg Point to the largest car in the image. 182,894 419,815 543,801 607,774 -727 001320__relation_nearest_to_unique_11 images_annotated/001320_001320__relation_nearest_to_unique_11.jpg Which car is nearest to the heavy truck? 778,763 729,771 676,780 826,776 -728 001320__quadrant_hint_2 images_annotated/001320_001320__quadrant_hint_2.jpg Which object is in the lower right quadrant of the image? 1121,735 825,776 778,763 729,771 -729 001325__leftmost_in_class_9 images_annotated/001325_001325__leftmost_in_class_9.jpg Find the leftmost car in the scene. 369,821 113,902 521,801 590,773 -730 001325__relation_nearest_to_unique_8 images_annotated/001325_001325__relation_nearest_to_unique_8.jpg Which car is closest to the heavy truck? 770,762 721,770 664,780 812,778 -731 001325__closest_right_edge_0 images_annotated/001325_001325__closest_right_edge_0.jpg Point to the car on the far right edge of the image. 1859,695 812,778 1899,692 770,762 -732 001330__largest_in_class_4 images_annotated/001330_001330__largest_in_class_4.jpg Point to the largest car on the road. 495,810 326,832 573,776 652,783 -733 001330__relation_nearest_to_unique_6 images_annotated/001330_001330__relation_nearest_to_unique_6.jpg Find the car nearest to the heavy truck. 762,761 712,773 799,783 652,783 -734 001330__quadrant_hint_5 images_annotated/001330_001330__quadrant_hint_5.jpg Point to the vehicle in the lower right quadrant. 798,783 762,761 712,773 1116,735 -735 001335__leftmost_in_class_10 images_annotated/001335_001335__leftmost_in_class_10.jpg Point to the leftmost car in the scene. 468,813 276,833 555,777 638,784 -736 001335__relation_nearest_to_unique_5 images_annotated/001335_001335__relation_nearest_to_unique_5.jpg Point to the car nearest to the large yellow house. 783,787 753,767 702,774 638,784 -737 001335__unique_class_9 images_annotated/001335_001335__unique_class_9.jpg Find the heavy truck on the far right. 783,787 753,767 702,774 1112,734 -738 001340__largest_in_class_10 images_annotated/001340_001340__largest_in_class_10.jpg Find the largest car parked on the left side of the street. 221,843 438,816 536,778 625,787 -739 001340__smallest_in_class_3 images_annotated/001340_001340__smallest_in_class_3.jpg Which car is the smallest one in the group of vehicles on the left? 692,775 765,791 625,787 714,772 -740 001340__quadrant_hint_2 images_annotated/001340_001340__quadrant_hint_2.jpg Where is the large vehicle located in the lower right section of the image? 1110,733 765,791 714,772 692,775 -741 001345__leftmost_in_class_0 images_annotated/001345_001345__leftmost_in_class_0.jpg Point to the leftmost car parked on the street. 157,854 405,824 521,783 611,792 -742 001345__quadrant_hint_5 images_annotated/001345_001345__quadrant_hint_5.jpg Tap the person standing on the far right side of the road. 1820,696 1886,690 1898,689 1847,704 -743 001350__largest_in_class_5 images_annotated/001350_001350__largest_in_class_5.jpg Point to the largest car on the left side of the road. 369,828 496,783 597,791 109,860 -744 001350__relation_nearest_to_unique_2 images_annotated/001350_001350__relation_nearest_to_unique_2.jpg Point to the car nearest to the large yellow house. 716,811 668,779 597,791 496,783 -745 001350__quadrant_hint_4 images_annotated/001350_001350__quadrant_hint_4.jpg Where is the vehicle in the lower right corner? 716,811 1104,734 668,779 597,791 -746 001355__relation_nearest_to_unique_5 images_annotated/001355_001355__relation_nearest_to_unique_5.jpg Which car is nearest to the heavy truck? 583,793 682,824 479,782 331,833 -747 001355__leftmost_in_class_7 images_annotated/001355_001355__leftmost_in_class_7.jpg Which car is the leftmost one in the image? 331,833 479,782 583,793 75,857 -748 001355__rightmost_in_class_2 images_annotated/001355_001355__rightmost_in_class_2.jpg Which car is the rightmost one in the image? 1845,689 1643,706 681,824 583,793 -749 001360__leftmost_in_class_6 images_annotated/001360_001360__leftmost_in_class_6.jpg Which car is positioned farthest to the left? 288,841 35,870 463,788 563,798 -750 001360__pair_size_8 images_annotated/001360_001360__pair_size_8.jpg Which heavy truck is the larger of the two? 1910,669 721,773 631,845 1104,735 -751 001360__rightmost_in_class_1 images_annotated/001360_001360__rightmost_in_class_1.jpg Which heavy truck is positioned farthest to the right? 1104,736 1858,690 1910,669 1761,699 -752 001365__bottommost_in_class_6 images_annotated/001365_001365__bottommost_in_class_6.jpg Point to the car that is lowest in the frame. 454,788 672,781 553,879 694,777 -753 001365__relation_nearest_to_unique_3 images_annotated/001365_001365__relation_nearest_to_unique_3.jpg Point to the car nearest to the black SUV on the left. 694,777 672,781 553,879 716,774 -754 001365__quadrant_hint_4 images_annotated/001365_001365__quadrant_hint_4.jpg Where is the large vehicle in the lower right quadrant? 716,774 1104,735 694,777 672,781 -755 001370__largest_in_class_5 images_annotated/001370_001370__largest_in_class_5.jpg Point to the largest car on the road. 184,855 637,785 666,779 409,935 -756 001370__leftmost_in_class_7 images_annotated/001370_001370__leftmost_in_class_7.jpg Point to the leftmost car in the image. 409,935 637,785 184,855 666,779 -757 001370__quadrant_hint_8 images_annotated/001370_001370__quadrant_hint_8.jpg Tap on the vehicle located in the lower right corner. 711,773 687,776 1106,735 666,779 -758 001375__largest_in_class_10 images_annotated/001375_001375__largest_in_class_10.jpg Where is the largest car in the image? 230,1028 428,787 522,800 630,783 -759 001375__unique_class_0 images_annotated/001375_001375__unique_class_0.jpg Point to the heavy truck on the far right side of the road. 707,771 1108,732 682,774 659,778 -760 001375__relation_nearest_to_unique_1 images_annotated/001375_001375__relation_nearest_to_unique_1.jpg Point to the car nearest to the heavy truck. 682,774 659,778 630,783 707,771 -761 001380__relation_left_of_unique_0 images_annotated/001380_001380__relation_left_of_unique_0.jpg Point to the black car parked on the far left. 406,785 505,797 621,780 98,847 -762 001380__relation_nearest_to_unique_1 images_annotated/001380_001380__relation_nearest_to_unique_1.jpg Which car is closest to the road sign? 505,797 621,780 653,775 405,785 -763 001380__unique_class_2 images_annotated/001380_001380__unique_class_2.jpg Point to the road sign on the left side of the road. 406,785 232,697 97,847 505,797 -764 001385__leftmost_in_class_0 images_annotated/001385_001385__leftmost_in_class_0.jpg Where is the leftmost car parked on the street? 63,851 386,782 487,795 613,777 -765 001385__pair_size_3 images_annotated/001385_001385__pair_size_3.jpg Point to the larger of the two heavy trucks on the right. 726,735 1114,725 699,764 672,767 -766 001390__leftmost_in_class_11 images_annotated/001390_001390__leftmost_in_class_11.jpg Which car is the leftmost one in the line of parked cars? 355,781 468,796 605,775 640,770 -767 001390__relation_nearest_to_unique_7 images_annotated/001390_001390__relation_nearest_to_unique_7.jpg Which car is closest to the heavy truck? 668,765 640,770 695,762 605,775 -768 001390__largest_in_class_0 images_annotated/001390_001390__largest_in_class_0.jpg Which car is the largest in the scene? 356,781 605,775 468,796 640,770 -769 001395__largest_in_class_7 images_annotated/001395_001395__largest_in_class_7.jpg Where is the largest car on the road? 331,783 597,778 447,802 632,772 -770 001395__leftmost_in_class_8 images_annotated/001395_001395__leftmost_in_class_8.jpg Point to the leftmost car in the line of parked vehicles. 330,783 448,802 597,778 632,772 -771 001395__pair_top_bottom_9 images_annotated/001395_001395__pair_top_bottom_9.jpg Find the top road sign in the pair of signs on the left. 86,671 88,642 331,783 448,802 -772 001400__leftmost_in_class_6 images_annotated/001400_001400__leftmost_in_class_6.jpg Point to the leftmost car on the road. 426,804 589,780 324,785 627,774 -773 001400__largest_in_class_5 images_annotated/001400_001400__largest_in_class_5.jpg Which car is the largest in the scene? 426,804 325,785 589,780 627,774 -774 001400__pair_top_bottom_7 images_annotated/001400_001400__pair_top_bottom_7.jpg Which road sign is the top one in the pair? 23,665 325,785 426,804 27,630 -775 001405__closest_bottom_edge_3 images_annotated/001405_001405__closest_bottom_edge_3.jpg Which car is closest to the bottom edge of the image? 290,786 583,780 622,774 403,808 -776 001405__relation_nearest_to_unique_0 images_annotated/001405_001405__relation_nearest_to_unique_0.jpg Point to the car nearest to the heavy truck. 657,769 689,764 622,774 583,780 -777 001405__quadrant_hint_9 images_annotated/001405_001405__quadrant_hint_9.jpg Where is the vehicle in the lower right quadrant? 690,764 657,769 1131,723 622,774 -778 001410__relation_nearest_to_unique_3 images_annotated/001410_001410__relation_nearest_to_unique_3.jpg Which car is nearest to the large white building on the left? 654,770 689,765 618,775 576,781 -779 001410__closest_bottom_edge_1 images_annotated/001410_001410__closest_bottom_edge_1.jpg Which car is closest to the bottom edge of the image? 277,787 576,781 618,775 378,810 -780 001410__unique_class_4 images_annotated/001410_001410__unique_class_4.jpg Point to the heavy truck on the far right. 690,765 654,770 1139,720 618,775 -781 001415__closest_bottom_edge_0 images_annotated/001415_001415__closest_bottom_edge_0.jpg Which car is closest to the bottom edge of the image? 353,819 236,793 570,787 614,778 -782 001415__quadrant_hint_2 images_annotated/001415_001415__quadrant_hint_2.jpg Find the vehicle in the lower right quadrant of the image. 691,767 652,774 614,778 1148,723 -783 001415__leftmost_in_class_1 images_annotated/001415_001415__leftmost_in_class_1.jpg Which car is the leftmost on the street? 353,819 570,787 236,793 614,778 -784 001420__closest_to_center_6 images_annotated/001420_001420__closest_to_center_6.jpg Point to the car closest to the center of the image. 691,773 650,778 610,783 563,792 -785 001420__pair_size_3 images_annotated/001420_001420__pair_size_3.jpg Find the larger of the two heavy trucks. 1158,726 727,737 691,773 650,778 -786 001420__pair_size_7 images_annotated/001420_001420__pair_size_7.jpg Find the smaller of the two heavy trucks. 1157,726 691,773 728,737 650,778 -787 001425__largest_in_class_8 images_annotated/001425_001425__largest_in_class_8.jpg Which car on the left is the largest? 168,795 554,796 604,787 282,833 -788 001425__smallest_in_class_0 images_annotated/001425_001425__smallest_in_class_0.jpg Which car on the far right is the smallest? 1903,683 1878,685 1835,687 691,775 -789 001425__unique_class_3 images_annotated/001425_001425__unique_class_3.jpg Point to the heavy truck on the right side of the road. 1162,727 691,775 648,781 604,787 -790 001430__bottommost_in_class_8 images_annotated/001430_001430__bottommost_in_class_8.jpg Where is the car that is lowest on the road, parked on the left? 238,840 128,789 543,797 597,788 -791 001430__relation_nearest_to_unique_2 images_annotated/001430_001430__relation_nearest_to_unique_2.jpg Point to the car nearest to the large SUV parked on the left. 643,781 689,775 597,788 543,797 -792 001430__unique_class_5 images_annotated/001430_001430__unique_class_5.jpg Find the heavy truck on the far right side of the road. 689,775 643,781 597,788 1169,726 -793 001435__closest_to_center_5 images_annotated/001435_001435__closest_to_center_5.jpg Where is the car closest to the center of the image? 686,775 852,756 637,783 588,790 -794 001435__pair_size_2 images_annotated/001435_001435__pair_size_2.jpg Which truck is the larger of the two? 728,738 852,756 1175,727 686,775 -795 001435__largest_in_class_8 images_annotated/001435_001435__largest_in_class_8.jpg Find the largest car on the road. 72,792 530,796 588,790 182,843 -796 001440__pair_size_5 images_annotated/001440_001440__pair_size_5.jpg Which heavy truck is the larger of the two? 1183,727 727,739 863,756 683,777 -797 001440__smallest_in_class_4 images_annotated/001440_001440__smallest_in_class_4.jpg Find the smallest heavy truck in the image. 1182,727 683,777 631,785 728,739 -798 001445__smallest_in_class_4 images_annotated/001445_001445__smallest_in_class_4.jpg Find the smallest car in the image. 679,776 1903,685 621,782 563,792 -799 001445__relation_nearest_to_unique_3 images_annotated/001445_001445__relation_nearest_to_unique_3.jpg Which car is closest to the heavy truck? 621,782 563,792 680,776 496,800 -800 001445__unique_class_2 images_annotated/001445_001445__unique_class_2.jpg Point to the heavy truck on the right side of the road. 1188,727 679,776 621,782 563,792 -801 001450__largest_in_class_4 images_annotated/001450_001450__largest_in_class_4.jpg Point to the largest car parked on the left side. 475,805 61,848 549,795 611,784 -802 001450__rightmost_in_class_3 images_annotated/001450_001450__rightmost_in_class_3.jpg Which car is the rightmost among the vehicles on the road? 611,784 549,795 475,805 674,777 -803 001450__unique_class_0 images_annotated/001450_001450__unique_class_0.jpg Point to the heavy truck on the right side of the road. 673,777 611,784 1192,728 549,795 -804 001455__leftmost_in_class_3 images_annotated/001455_001455__leftmost_in_class_3.jpg Find the leftmost car parked along the side of the road. 532,793 600,783 451,804 667,775 -805 001455__rightmost_in_class_0 images_annotated/001455_001455__rightmost_in_class_0.jpg Find the car parked farthest to the right on the left side of the road. 600,783 532,793 666,775 451,804 -806 001455__quadrant_hint_1 images_annotated/001455_001455__quadrant_hint_1.jpg Point to the vehicle in the lower right corner of the image. 1198,726 667,775 600,783 532,793 -807 001460__largest_in_class_3 images_annotated/001460_001460__largest_in_class_3.jpg Which car is the largest in the group? 513,796 588,785 660,775 424,806 -808 001460__relation_nearest_to_unique_1 images_annotated/001460_001460__relation_nearest_to_unique_1.jpg Which car is closest to the large white house on the left? 588,785 513,796 660,775 424,806 -809 001460__unique_class_2 images_annotated/001460_001460__unique_class_2.jpg Find the heavy truck among the cars. 660,775 588,785 1204,727 513,796 -810 001465__leftmost_in_class_4 images_annotated/001465_001465__leftmost_in_class_4.jpg Point to the car that is farthest to the left. 492,801 575,788 653,780 394,810 -811 001465__relation_nearest_to_unique_2 images_annotated/001465_001465__relation_nearest_to_unique_2.jpg Which car is closest to the large white house on the left? 653,780 575,788 492,801 393,810 -812 001465__unique_class_3 images_annotated/001465_001465__unique_class_3.jpg Find the heavy truck among the cars. 653,780 575,788 1208,730 492,801 -813 001470__largest_in_class_3 images_annotated/001470_001470__largest_in_class_3.jpg Which car is the largest on the left side? 468,803 357,814 561,789 645,780 -814 001470__rightmost_in_class_4 images_annotated/001470_001470__rightmost_in_class_4.jpg Point to the rightmost car in the row of parked vehicles. 561,789 468,803 358,814 645,780 -815 001470__quadrant_hint_1 images_annotated/001470_001470__quadrant_hint_1.jpg Find the vehicle in the lower right quadrant. 645,780 561,789 1213,731 468,803 -816 001475__rightmost_in_class_3 images_annotated/001475_001475__rightmost_in_class_3.jpg Where is the rightmost car in the scene? 546,787 443,801 317,814 636,777 -817 001475__largest_in_class_2 images_annotated/001475_001475__largest_in_class_2.jpg Point to the largest vehicle in the image. 698,736 636,776 1217,730 546,787 -818 001475__pair_size_4 images_annotated/001475_001475__pair_size_4.jpg Which truck is the smaller of the two? 1218,730 699,735 636,776 546,787 -819 001480__smallest_in_class_1 images_annotated/001480_001480__smallest_in_class_1.jpg Find the smallest heavy truck in the scene. 691,732 1223,727 627,778 528,788 -820 001480__largest_in_class_4 images_annotated/001480_001480__largest_in_class_4.jpg Tap the largest car in the scene. 410,801 528,788 269,815 627,778 -821 001485__largest_in_class_3 images_annotated/001485_001485__largest_in_class_3.jpg Which car is the largest in the group? 374,809 509,793 215,825 617,780 -822 001485__pair_size_0 images_annotated/001485_001485__pair_size_0.jpg Point to the smaller of the two heavy trucks. 685,734 1229,729 617,780 509,793 -823 001485__smallest_in_class_4 images_annotated/001485_001485__smallest_in_class_4.jpg Where is the smallest car in the image? 616,780 509,793 374,809 215,825 -824 001490__closest_to_center_1 images_annotated/001490_001490__closest_to_center_1.jpg Find the car closest to the center of the image. 488,796 334,815 148,832 607,780 -825 001490__pair_size_2 images_annotated/001490_001490__pair_size_2.jpg Which heavy truck is the larger of the two? 680,732 1235,728 606,780 488,796 -826 001495__largest_in_class_0 images_annotated/001495_001495__largest_in_class_0.jpg Find the largest heavy truck in the scene. 1242,728 675,732 594,781 464,794 -827 001495__smallest_in_class_1 images_annotated/001495_001495__smallest_in_class_1.jpg Tap the smallest heavy truck in the scene. 1242,728 594,781 676,732 464,794 -828 001500__leftmost_in_class_0 images_annotated/001500_001500__leftmost_in_class_0.jpg Point to the leftmost car parked on the street. 226,823 438,798 65,833 582,783 -829 001500__smallest_in_class_4 images_annotated/001500_001500__smallest_in_class_4.jpg Find the smallest car on the road. 438,798 226,823 582,783 65,833 -830 001500__largest_in_class_2 images_annotated/001500_001500__largest_in_class_2.jpg Find the largest car parked on the left side of the road. 227,823 65,833 438,798 582,783 -831 001505__closest_to_center_4 images_annotated/001505_001505__closest_to_center_4.jpg Where is the car closest to the center of the image? 1358,743 569,790 1044,758 409,805 -832 001505__rightmost_in_class_3 images_annotated/001505_001505__rightmost_in_class_3.jpg Tap the car that is farthest to the right. 1357,743 1044,758 569,790 409,805 -833 001505__quadrant_hint_1 images_annotated/001505_001505__quadrant_hint_1.jpg Point to the heavy truck in the lower left quadrant. 1257,731 662,735 569,790 409,805 -834 001510__smallest_in_class_2 images_annotated/001510_001510__smallest_in_class_2.jpg Which car is the smallest? 1067,761 555,795 1367,745 376,816 -835 001510__largest_in_class_0 images_annotated/001510_001510__largest_in_class_0.jpg Find the largest truck in the image. 657,738 1265,733 1367,745 1067,761 -836 001510__closest_to_center_1 images_annotated/001510_001510__closest_to_center_1.jpg Where is the car closest to the center of the image? 1068,761 1367,745 555,795 376,816 -837 001515__leftmost_in_class_2 images_annotated/001515_001515__leftmost_in_class_2.jpg Point to the leftmost car in the scene. 67,840 337,818 539,795 1082,758 -838 001515__smallest_in_class_3 images_annotated/001515_001515__smallest_in_class_3.jpg Which heavy truck is the smallest? 1273,729 539,795 651,734 337,818 -839 001515__pair_size_4 images_annotated/001515_001515__pair_size_4.jpg Tap the larger of the two heavy trucks. 650,734 1273,729 1376,742 1082,758 -840 001520__relation_nearest_to_unique_1 images_annotated/001520_001520__relation_nearest_to_unique_1.jpg Find the car that is nearest to the road sign. 523,796 298,822 1103,756 1385,740 -841 001520__smallest_in_class_3 images_annotated/001520_001520__smallest_in_class_3.jpg Where is the smallest car in the image? 1103,756 523,796 298,822 1384,740 -842 001520__unique_class_0 images_annotated/001520_001520__unique_class_0.jpg Point to the road sign on the left side of the road. 298,822 523,796 271,681 643,732 -843 001525__largest_in_class_0 images_annotated/001525_001525__largest_in_class_0.jpg Which car is the largest on the left side of the road? 246,827 504,798 1121,754 1395,738 -844 001525__closest_to_center_3 images_annotated/001525_001525__closest_to_center_3.jpg Where is the car closest to the center of the image? 1395,738 1430,739 1121,754 504,798 -845 001525__pair_size_7 images_annotated/001525_001525__pair_size_7.jpg Tap the larger of the two heavy trucks on the right. 635,733 1395,738 1430,739 1292,725 -846 001530__largest_in_class_1 images_annotated/001530_001530__largest_in_class_1.jpg Point to the largest car on the left side of the road. 482,800 1142,754 1405,739 182,831 -847 001530__smallest_in_class_3 images_annotated/001530_001530__smallest_in_class_3.jpg Point to the smallest heavy truck in the image. 628,733 1301,725 482,800 182,831 -848 001530__closest_top_edge_4 images_annotated/001530_001530__closest_top_edge_4.jpg Find the road sign that is closest to the top edge of the image. 169,668 171,640 182,831 482,800 -849 001535__leftmost_in_class_1 images_annotated/001535_001535__leftmost_in_class_1.jpg Point to the leftmost car in the image. 456,805 1168,756 1414,739 115,842 -850 001535__closest_to_center_2 images_annotated/001535_001535__closest_to_center_2.jpg Where is the car closest to the center of the image? 1167,756 1414,739 1455,741 456,805 -851 001535__smallest_in_class_3 images_annotated/001535_001535__smallest_in_class_3.jpg Which heavy truck is the smallest? 1311,726 456,805 618,733 116,842 -852 001540__leftmost_in_class_0 images_annotated/001540_001540__leftmost_in_class_0.jpg Point to the car on the far left of the road. 428,805 81,848 1187,753 1425,737 -853 001540__closest_right_edge_2 images_annotated/001540_001540__closest_right_edge_2.jpg Find the car closest to the right edge of the image. 1425,737 1187,753 1469,738 428,805 -854 001540__pair_top_bottom_3 images_annotated/001540_001540__pair_top_bottom_3.jpg Which road sign is the top one in the pair? 27,651 33,615 80,848 428,805 -855 001545__rightmost_in_class_1 images_annotated/001545_001545__rightmost_in_class_1.jpg Where is the rightmost car in the image? 1745,708 1481,736 1436,736 1212,752 -856 001545__closest_to_center_4 images_annotated/001545_001545__closest_to_center_4.jpg Tap the car closest to the center of the image. 1436,736 1481,736 1212,752 1746,709 -857 001545__quadrant_hint_0 images_annotated/001545_001545__quadrant_hint_0.jpg Point to the heavy truck in the lower-left quadrant. 1332,723 591,733 395,812 1212,752 -858 001550__pair_size_0 images_annotated/001550_001550__pair_size_0.jpg Which truck is the smaller of the two? 1343,719 358,813 1234,749 580,728 -859 001550__pair_size_3 images_annotated/001550_001550__pair_size_3.jpg Which truck is the larger of the two? 579,728 1342,719 1446,733 1234,749 -860 001555__leftmost_in_class_1 images_annotated/001555_001555__leftmost_in_class_1.jpg Point to the leftmost car in the scene. 1260,746 1460,731 1509,732 317,826 -861 001555__quadrant_hint_3 images_annotated/001555_001555__quadrant_hint_3.jpg Where is the heavy truck on the right side of the image? 566,726 1356,717 1260,746 1460,731 -862 001555__rightmost_in_class_0 images_annotated/001555_001555__rightmost_in_class_0.jpg Which car is the rightmost one in the scene? 1509,732 1460,731 1260,746 316,826 -863 001560__rightmost_in_class_3 images_annotated/001560_001560__rightmost_in_class_3.jpg Tap the car that is farthest to the right. 1472,728 1283,743 265,828 1524,728 -864 001560__closest_to_center_2 images_annotated/001560_001560__closest_to_center_2.jpg Point to the car closest to the center of the image. 1283,743 1472,728 1524,728 265,828 -865 001560__quadrant_hint_0 images_annotated/001560_001560__quadrant_hint_0.jpg Point to the truck on the right side of the image. 550,722 1283,743 1367,713 1472,728 -866 001565__pair_left_right_0 images_annotated/001565_001565__pair_left_right_0.jpg Point to the larger of the two heavy trucks. 536,718 1379,708 1297,738 1484,724 -867 001565__smallest_in_class_2 images_annotated/001565_001565__smallest_in_class_2.jpg Which car is the smallest? 1484,724 1539,725 206,824 1298,738 -868 001565__rightmost_in_class_3 images_annotated/001565_001565__rightmost_in_class_3.jpg Which car is the rightmost one? 1540,725 1484,724 1297,738 206,824 -869 001570__largest_in_class_0 images_annotated/001570_001570__largest_in_class_0.jpg Which car is the largest in the scene? 545,758 1497,725 1554,722 144,835 -870 001570__quadrant_hint_2 images_annotated/001570_001570__quadrant_hint_2.jpg Where is the heavy truck in the lower-left quadrant? 1394,709 545,758 515,721 144,835 -871 001570__pair_size_3 images_annotated/001570_001570__pair_size_3.jpg Find the smaller of the two heavy trucks. 515,721 1394,708 1497,725 1554,722 -872 001575__largest_in_class_2 images_annotated/001575_001575__largest_in_class_2.jpg Which car is the largest in the scene? 532,763 113,845 1510,727 1572,728 -873 001575__quadrant_hint_1 images_annotated/001575_001575__quadrant_hint_1.jpg Point to the heavy truck on the left side of the road. 1406,711 532,763 114,845 495,725 -874 001575__pair_size_4 images_annotated/001575_001575__pair_size_4.jpg Which truck is the smaller of the two heavy trucks? 1405,711 495,725 1510,727 1572,728 -875 001580__smallest_in_class_3 images_annotated/001580_001580__smallest_in_class_3.jpg Find the smallest heavy truck in the scene. 1421,708 472,725 1522,725 1589,726 -876 001580__rightmost_in_class_0 images_annotated/001580_001580__rightmost_in_class_0.jpg Point to the car on the far right of the road. 1736,706 1589,726 1851,692 1522,725 -877 001580__closest_to_center_1 images_annotated/001580_001580__closest_to_center_1.jpg Find the car closest to the center of the image. 735,762 789,760 517,762 78,842 -878 001585__largest_in_class_3 images_annotated/001585_001585__largest_in_class_3.jpg Tap the largest heavy truck in the scene. 1437,708 447,727 506,766 735,763 -879 001585__pair_size_4 images_annotated/001585_001585__pair_size_4.jpg Find the smaller of the two heavy trucks. 448,727 1436,708 1537,722 1607,724 -880 001590__leftmost_in_class_4 images_annotated/001590_001590__leftmost_in_class_4.jpg Which car is the leftmost one in the image? 732,761 783,761 499,765 1552,718 -881 001590__largest_in_class_2 images_annotated/001590_001590__largest_in_class_2.jpg Which car is the largest in the image? 1552,718 1624,720 1766,699 1797,693 -882 001590__rightmost_in_class_0 images_annotated/001590_001590__rightmost_in_class_0.jpg Which car is the rightmost one in the image? 1797,693 1766,699 1878,684 1625,720 -883 001595__relation_nearest_to_unique_4 images_annotated/001595_001595__relation_nearest_to_unique_4.jpg Find the car that is nearest to the person. 1571,716 1782,696 1644,718 1815,690 -884 001595__unique_class_0 images_annotated/001595_001595__unique_class_0.jpg Point to the person standing near the cars on the right. 1644,718 1655,713 1571,716 1782,696 -885 001595__closest_to_center_2 images_annotated/001595_001595__closest_to_center_2.jpg Point to the car closest to the center of the road. 728,762 488,766 430,763 781,761 -886 001600__pair_size_5 images_annotated/001600_001600__pair_size_5.jpg Find the smaller of the two heavy trucks. 1486,700 359,725 1584,717 1665,718 -887 001600__closest_to_center_1 images_annotated/001600_001600__closest_to_center_1.jpg Find the car closest to the center of the image. 725,766 479,770 408,766 778,762 -888 001600__quadrant_hint_0 images_annotated/001600_001600__quadrant_hint_0.jpg Where is the person on the far right side of the road? 1665,718 1584,717 1678,712 1798,695 -889 001605__leftmost_in_class_1 images_annotated/001605_001605__leftmost_in_class_1.jpg Point to the leftmost car in the line of traffic. 472,770 397,766 709,767 776,763 -890 001605__relation_nearest_to_unique_5 images_annotated/001605_001605__relation_nearest_to_unique_5.jpg Where is the car nearest to the person? 1601,713 1814,692 1686,714 1847,686 -891 001605__closest_to_center_4 images_annotated/001605_001605__closest_to_center_4.jpg Find the car closest to the center of the road. 776,762 720,765 472,770 398,766 -892 001610__largest_in_class_3 images_annotated/001610_001610__largest_in_class_3.jpg Which car is the largest among the vehicles on the right? 1621,709 1707,710 1831,687 1863,681 -893 001610__leftmost_in_class_6 images_annotated/001610_001610__leftmost_in_class_6.jpg Which car is the leftmost one in the line of traffic? 459,769 386,767 705,766 717,763 -894 001610__closest_to_center_5 images_annotated/001610_001610__closest_to_center_5.jpg Which car is closest to the center of the image? 717,763 705,766 459,769 772,762 -895 001615__relation_nearest_to_unique_2 images_annotated/001615_001615__relation_nearest_to_unique_2.jpg Find the car closest to the person. 1640,704 1850,687 1882,681 1730,710 -896 001615__leftmost_in_class_4 images_annotated/001615_001615__leftmost_in_class_4.jpg Point to the leftmost car in the row of vehicles on the left. 373,770 311,771 449,772 703,769 -897 001615__pair_size_6 images_annotated/001615_001615__pair_size_6.jpg Find the larger of the two heavy trucks. 1547,691 312,771 228,717 373,770 -898 001620__leftmost_in_class_2 images_annotated/001620_001620__leftmost_in_class_2.jpg Where is the leftmost car on the road? 363,769 439,773 292,769 700,768 -899 001620__relation_nearest_to_unique_5 images_annotated/001620_001620__relation_nearest_to_unique_5.jpg Point to the heavy truck nearest to the person. 176,712 1569,687 1756,707 1781,699 -900 001620__largest_in_class_1 images_annotated/001620_001620__largest_in_class_1.jpg Which vehicle is the largest in the scene? 177,712 1569,687 292,769 363,769 -901 001625__largest_in_class_1 images_annotated/001625_001625__largest_in_class_1.jpg Which heavy truck is the largest in the scene? 1593,683 277,769 113,708 355,768 -902 001625__relation_nearest_to_unique_3 images_annotated/001625_001625__relation_nearest_to_unique_3.jpg Find the heavy truck that is nearest to the person. 113,708 1594,683 1689,702 1784,703 -903 001625__quadrant_hint_0 images_annotated/001625_001625__quadrant_hint_0.jpg Where is the person standing on the grass by the food truck? 1811,696 1784,703 1889,678 1689,702 -904 001630__relation_right_of_unique_4 images_annotated/001630_001630__relation_right_of_unique_4.jpg Where is the car to the right of the person? 1802,703 1901,676 1724,702 768,767 -905 001630__largest_in_class_3 images_annotated/001630_001630__largest_in_class_3.jpg Which is the largest vehicle in the image? 1618,682 265,770 339,771 63,705 -906 001635__relation_nearest_to_unique_3 images_annotated/001635_001635__relation_nearest_to_unique_3.jpg Find the car nearest to the person on the right. 1831,701 1910,679 1753,701 767,768 -907 001635__closest_to_center_2 images_annotated/001635_001635__closest_to_center_2.jpg Point to the car nearest to the center of the image. 707,769 693,770 413,776 766,768 -908 001635__pair_left_right_1 images_annotated/001635_001635__pair_left_right_1.jpg Find the person on the left side of the pair. 1872,691 1697,717 1753,701 1644,680 -909 001640__rightmost_in_class_1 images_annotated/001640_001640__rightmost_in_class_1.jpg Which car is positioned furthest to the right? 1787,696 1859,698 822,762 767,767 -910 001640__quadrant_hint_0 images_annotated/001640_001640__quadrant_hint_0.jpg Find the brown truck on the right side of the road. 1729,714 1787,696 1859,698 1670,677 -911 001640__relation_nearest_to_unique_2 images_annotated/001640_001640__relation_nearest_to_unique_2.jpg Which person is closest to the heavy truck? 1730,714 1904,689 1787,696 1671,677 -912 001645__largest_in_class_6 images_annotated/001645_001645__largest_in_class_6.jpg Point to the largest car on the far right of the image. 1816,697 1882,698 823,763 766,768 -913 001645__relation_nearest_to_unique_1 images_annotated/001645_001645__relation_nearest_to_unique_1.jpg Which car is closest to the person standing near the large brown truck? 1881,698 823,763 766,768 1816,697 -914 001645__closest_to_center_4 images_annotated/001645_001645__closest_to_center_4.jpg Find the car closest to the center of the image. 766,768 824,762 727,764 702,769 -915 001650__relation_nearest_to_unique_5 images_annotated/001650_001650__relation_nearest_to_unique_5.jpg Point to the car nearest to the person on the right. 1843,696 1896,696 823,764 765,769 -916 001650__leftmost_in_class_0 images_annotated/001650_001650__leftmost_in_class_0.jpg Point to the leftmost car on the road. 298,774 382,777 213,772 684,774 -917 001650__unique_class_8 images_annotated/001650_001650__unique_class_8.jpg Where is the heavy truck parked on the right? 1788,713 1728,673 1844,696 1896,696 -918 001655__closest_to_center_2 images_annotated/001655_001655__closest_to_center_2.jpg Point to the car closest to the center of the image. 822,764 763,769 724,766 698,771 -919 001655__leftmost_in_class_6 images_annotated/001655_001655__leftmost_in_class_6.jpg Point to the leftmost car in the image. 286,774 372,777 200,770 681,774 -920 001655__unique_class_3 images_annotated/001655_001655__unique_class_3.jpg Find the heavy truck on the right side of the road. 1823,708 1876,693 1908,695 1757,670 -921 001660__relation_nearest_to_unique_7 images_annotated/001660_001660__relation_nearest_to_unique_7.jpg Point to the car nearest to the person. 822,765 762,770 722,767 1903,691 -922 001660__leftmost_in_class_1 images_annotated/001660_001660__leftmost_in_class_1.jpg Point to the leftmost car on the road. 272,774 361,777 184,771 678,774 -923 001660__quadrant_hint_6 images_annotated/001660_001660__quadrant_hint_6.jpg Tap the person on the far right side of the image. 1902,691 1855,707 1784,666 822,765 -924 001665__rightmost_in_class_4 images_annotated/001665_001665__rightmost_in_class_4.jpg Which car is the rightmost one in the image? 760,772 721,768 822,767 693,773 -925 001665__unique_class_3 images_annotated/001665_001665__unique_class_3.jpg Point to the large brown truck on the far right. 1812,664 1887,707 821,767 760,772 -926 001665__unique_class_5 images_annotated/001665_001665__unique_class_5.jpg Where is the person standing on the sidewalk? 1813,664 821,767 760,772 1887,707 -927 001670__leftmost_in_class_0 images_annotated/001670_001670__leftmost_in_class_0.jpg Point to the leftmost car in the row of parked cars on the left side of the street. 245,777 343,781 156,772 670,777 -928 001670__largest_in_class_5 images_annotated/001670_001670__largest_in_class_5.jpg Find the largest car in the group of vehicles on the left. 344,781 245,777 156,772 670,777 -929 001670__relation_nearest_to_unique_4 images_annotated/001670_001670__relation_nearest_to_unique_4.jpg Which car is closest to the large brown truck on the right? 820,769 758,774 718,771 689,775 -930 001675__rightmost_in_class_8 images_annotated/001675_001675__rightmost_in_class_8.jpg Point to the rightmost car in the image. 755,776 818,771 715,772 685,777 -931 001675__quadrant_hint_7 images_annotated/001675_001675__quadrant_hint_7.jpg Where is the vehicle in the lower right corner? 1839,659 818,771 755,776 715,772 -932 001675__leftmost_in_class_3 images_annotated/001675_001675__leftmost_in_class_3.jpg Point to the leftmost car on the street. 230,778 320,782 666,780 140,773 -933 001680__smallest_in_class_7 images_annotated/001680_001680__smallest_in_class_7.jpg Which car appears smallest in the image? 682,777 752,776 662,780 712,772 -934 001680__relation_nearest_to_unique_4 images_annotated/001680_001680__relation_nearest_to_unique_4.jpg Which car is closest to the red traffic light on the right? 752,776 713,772 816,771 682,777 -935 001680__quadrant_hint_8 images_annotated/001680_001680__quadrant_hint_8.jpg Point to the vehicle in the lower right corner. 816,771 1855,656 752,776 713,772 -936 001685__smallest_in_class_7 images_annotated/001685_001685__smallest_in_class_7.jpg Find the smallest car among the group. 678,779 750,778 710,774 656,782 -937 001685__unique_class_1 images_annotated/001685_001685__unique_class_1.jpg Point to the large truck on the right. 814,773 750,778 710,774 1866,657 -938 001685__rightmost_in_class_0 images_annotated/001685_001685__rightmost_in_class_0.jpg Find the car on the far right side of the road. 750,778 814,773 710,774 678,779 -939 001690__rightmost_in_class_4 images_annotated/001690_001690__rightmost_in_class_4.jpg Where is the rightmost car in the line of traffic? 747,779 812,774 707,774 674,779 -940 001690__leftmost_in_class_0 images_annotated/001690_001690__leftmost_in_class_0.jpg Point to the leftmost car parked on the street. 189,780 289,784 96,775 653,783 -941 001690__smallest_in_class_6 images_annotated/001690_001690__smallest_in_class_6.jpg Tap the smallest car visible in the image. 674,779 747,779 653,783 707,774 -942 001695__largest_in_class_3 images_annotated/001695_001695__largest_in_class_3.jpg Where is the largest car on the road? 179,780 275,784 83,772 649,779 -943 001695__leftmost_in_class_1 images_annotated/001695_001695__leftmost_in_class_1.jpg Which car is the leftmost one in the image? 179,780 275,784 649,779 83,772 -944 001695__rightmost_in_class_6 images_annotated/001695_001695__rightmost_in_class_6.jpg Point to the rightmost car in the image. 744,777 704,773 810,772 671,778 -945 001700__leftmost_in_class_3 images_annotated/001700_001700__leftmost_in_class_3.jpg Which car is the leftmost one parked on the street? 164,780 265,784 69,773 645,781 -946 001700__rightmost_in_class_4 images_annotated/001700_001700__rightmost_in_class_4.jpg Point to the car that is farthest to the right in the scene. 743,777 808,772 702,772 669,778 -947 001700__smallest_in_class_6 images_annotated/001700_001700__smallest_in_class_6.jpg Which car is the smallest one in the image? 669,778 743,777 645,781 703,772 -948 001705__relation_nearest_to_unique_1 images_annotated/001705_001705__relation_nearest_to_unique_1.jpg Which car is closest to the road sign? 740,778 699,773 806,774 664,778 -949 001705__leftmost_in_class_7 images_annotated/001705_001705__leftmost_in_class_7.jpg Which car is positioned farthest to the left? 152,780 56,774 255,785 641,783 -950 001705__unique_class_8 images_annotated/001705_001705__unique_class_8.jpg Where is the only road sign in the image? 807,774 740,778 1306,727 699,773 -951 001710__relation_nearest_to_unique_2 images_annotated/001710_001710__relation_nearest_to_unique_2.jpg Which car is closest to the road sign? 738,780 698,774 806,775 661,780 -952 001710__leftmost_in_class_0 images_annotated/001710_001710__leftmost_in_class_0.jpg Which car is the leftmost one in the scene? 46,777 141,782 246,788 636,785 -953 001710__unique_class_5 images_annotated/001710_001710__unique_class_5.jpg Where is the road sign located? 806,775 738,780 698,774 1311,728 -954 001715__smallest_in_class_2 images_annotated/001715_001715__smallest_in_class_2.jpg Which car is the smallest in the scene? 658,780 735,780 633,785 695,773 -955 001715__leftmost_in_class_6 images_annotated/001715_001715__leftmost_in_class_6.jpg Which car is the leftmost in the image? 130,782 233,787 42,775 633,785 -956 001715__relation_nearest_to_unique_7 images_annotated/001715_001715__relation_nearest_to_unique_7.jpg Which car is nearest to the person? 804,775 735,780 695,773 658,780 -957 001720__largest_in_class_4 images_annotated/001720_001720__largest_in_class_4.jpg Find the largest car on the left side of the road. 120,781 223,787 36,774 629,785 -958 001720__smallest_in_class_5 images_annotated/001720_001720__smallest_in_class_5.jpg Which car is the smallest in the group? 655,779 733,779 629,785 693,775 -959 001720__quadrant_hint_3 images_annotated/001720_001720__quadrant_hint_3.jpg Where is the person standing on the far right? 804,774 733,779 1311,762 693,775 -960 001725__smallest_in_class_0 images_annotated/001725_001725__smallest_in_class_0.jpg Which car is the smallest one on the road? 653,778 731,777 627,783 689,772 -961 001725__largest_in_class_5 images_annotated/001725_001725__largest_in_class_5.jpg Find the largest car in the image. 112,780 215,784 30,773 627,783 -962 001725__quadrant_hint_6 images_annotated/001725_001725__quadrant_hint_6.jpg Where is the object in the lower right quadrant? 1317,755 802,773 1125,735 731,777 -963 001730__leftmost_in_class_7 images_annotated/001730_001730__leftmost_in_class_7.jpg Tap the leftmost car. 100,779 205,785 31,772 624,779 -964 001730__smallest_in_class_2 images_annotated/001730_001730__smallest_in_class_2.jpg Find the smallest car in the scene. 728,777 689,771 650,778 624,779 -965 001730__rightmost_in_class_0 images_annotated/001730_001730__rightmost_in_class_0.jpg Point to the rightmost car in the image. 801,773 728,777 689,771 650,778 -966 001735__relation_nearest_to_unique_4 images_annotated/001735_001735__relation_nearest_to_unique_4.jpg Which car is closest to the rider? 727,777 687,770 649,777 801,772 -967 001735__leftmost_in_class_0 images_annotated/001735_001735__leftmost_in_class_0.jpg Point to the leftmost car on the road. 96,779 199,784 25,771 621,777 -968 001735__unique_class_1 images_annotated/001735_001735__unique_class_1.jpg Find the only person riding a bike in the image. 1144,737 800,772 727,777 687,770 -969 001740__relation_nearest_to_unique_6 images_annotated/001740_001740__relation_nearest_to_unique_6.jpg Point to the car nearest to the person. 799,772 726,777 685,771 645,777 -970 001740__largest_in_class_3 images_annotated/001740_001740__largest_in_class_3.jpg Find the largest car on the road. 85,779 194,784 19,774 617,783 -971 001740__smallest_in_class_5 images_annotated/001740_001740__smallest_in_class_5.jpg Where is the smallest car in the image? 645,777 726,777 685,771 617,783 -972 001745__quadrant_hint_0 images_annotated/001745_001745__quadrant_hint_0.jpg Find the person on the far right of the image. 1162,737 799,772 1323,754 725,776 -973 001745__unique_class_1 images_annotated/001745_001745__unique_class_1.jpg Where is the person riding a bike? 1162,737 1323,754 799,772 725,776 -974 001750__rightmost_in_class_1 images_annotated/001750_001750__rightmost_in_class_1.jpg Which car is on the far right of the road? 722,777 797,772 681,770 641,776 -975 001750__largest_in_class_4 images_annotated/001750_001750__largest_in_class_4.jpg Which car is the largest in the scene? 68,776 611,782 177,783 641,776 -976 001750__quadrant_hint_5 images_annotated/001750_001750__quadrant_hint_5.jpg Find the object in the lower right quadrant. 796,772 722,777 681,770 1171,735 -977 001755__smallest_in_class_2 images_annotated/001755_001755__smallest_in_class_2.jpg Which car is the smallest one on the road? 639,776 721,776 609,781 680,770 -978 001755__rightmost_in_class_3 images_annotated/001755_001755__rightmost_in_class_3.jpg Which car is the rightmost one in the image? 721,776 795,773 680,770 639,776 -979 001755__unique_class_4 images_annotated/001755_001755__unique_class_4.jpg Where is the only person riding a bike in the scene? 1181,733 1324,759 795,773 721,776 -980 001760__relation_nearest_to_unique_4 images_annotated/001760_001760__relation_nearest_to_unique_4.jpg Which car is closest to the person on the right? 720,776 679,769 636,776 795,772 -981 001760__largest_in_class_1 images_annotated/001760_001760__largest_in_class_1.jpg Find the largest car in the image. 55,775 607,781 165,781 636,776 -982 001760__smallest_in_class_5 images_annotated/001760_001760__smallest_in_class_5.jpg Find the smallest car in the image. 720,776 680,769 636,776 607,781 -983 001765__largest_in_class_1 images_annotated/001765_001765__largest_in_class_1.jpg Find the largest car on the left side of the road. 156,781 52,774 606,783 636,777 -984 001765__leftmost_in_class_0 images_annotated/001765_001765__leftmost_in_class_0.jpg Point to the leftmost car in the image. 156,781 606,783 52,774 636,777 -985 001765__smallest_in_class_4 images_annotated/001765_001765__smallest_in_class_4.jpg Where is the smallest car in the image? 719,777 636,777 606,783 678,768 -986 001770__quadrant_hint_1 images_annotated/001770_001770__quadrant_hint_1.jpg Where is the rider located in the lower right quadrant? 1212,734 1211,774 1322,762 793,773 -987 001770__unique_class_2 images_annotated/001770_001770__unique_class_2.jpg Point to the person walking on the far right. 1211,774 1211,734 793,773 1323,762 -988 001775__quadrant_hint_0 images_annotated/001775_001775__quadrant_hint_0.jpg Where is the rider in the lower right corner? 1223,776 792,773 716,777 1221,733 -989 001775__relation_nearest_to_unique_1 images_annotated/001775_001775__relation_nearest_to_unique_1.jpg Where is the rider nearest to the cyclist? 1221,733 1223,776 792,773 716,777 -990 001780__largest_in_class_1 images_annotated/001780_001780__largest_in_class_1.jpg Find the largest car in the image. 142,779 45,770 600,781 631,776 -991 001780__leftmost_in_class_0 images_annotated/001780_001780__leftmost_in_class_0.jpg Which car is the leftmost one in the image? 143,779 44,770 600,781 631,776 -992 001780__unique_class_3 images_annotated/001780_001780__unique_class_3.jpg Where is the cyclist riding across the street? 1233,732 1316,762 791,774 1236,777 -993 001785__leftmost_in_class_2 images_annotated/001785_001785__leftmost_in_class_2.jpg Point to the leftmost car on the street. 42,771 143,778 598,783 630,777 -994 001785__largest_in_class_3 images_annotated/001785_001785__largest_in_class_3.jpg Find the largest car on the left side of the road. 42,771 142,778 598,783 630,777 -995 001785__quadrant_hint_6 images_annotated/001785_001785__quadrant_hint_6.jpg Find the person in the lower right corner of the image. 1246,778 1244,735 791,774 1311,768 -996 001790__largest_in_class_2 images_annotated/001790_001790__largest_in_class_2.jpg Find the largest car on the road. 41,771 598,784 630,776 140,778 -997 001790__rightmost_in_class_6 images_annotated/001790_001790__rightmost_in_class_6.jpg Where is the rightmost car in the image? 713,778 791,775 674,770 630,776 -998 001790__leftmost_in_class_1 images_annotated/001790_001790__leftmost_in_class_1.jpg Point to the leftmost car in the image. 40,771 140,778 598,784 630,776 -999 001795__leftmost_in_class_1 images_annotated/001795_001795__leftmost_in_class_1.jpg Which car is the leftmost one in the scene? 137,778 596,783 40,771 629,777 -1000 001795__unique_class_2 images_annotated/001795_001795__unique_class_2.jpg Point to the rider on the bicycle. 1273,783 1271,733 791,775 713,779 -1001 001795__quadrant_hint_0 images_annotated/001795_001795__quadrant_hint_0.jpg Where is the cyclist on the right side of the road? 1272,733 791,775 1273,783 713,779 -1002 001800__smallest_in_class_0 images_annotated/001800_001800__smallest_in_class_0.jpg Which car is the smallest in the scene? 713,778 628,777 672,769 596,782 -1003 001800__rightmost_in_class_2 images_annotated/001800_001800__rightmost_in_class_2.jpg Which car is positioned furthest to the right? 789,774 713,778 672,769 628,777 -1004 001800__relation_nearest_to_unique_4 images_annotated/001800_001800__relation_nearest_to_unique_4.jpg Which object is nearest to the rider? 1288,783 1288,735 790,774 713,778 diff --git a/data/temporal_localization/data_jsons/annotations/nv_lita_benchmark.json b/data/temporal_localization/data_jsons/annotations/nv_lita_benchmark.json index a54f28f72ac101dc90e3d3f088b426c1eb95b6cc..f63bd3bcfd4675802698e9cb760c7f0a3345f97b 100644 --- a/data/temporal_localization/data_jsons/annotations/nv_lita_benchmark.json +++ b/data/temporal_localization/data_jsons/annotations/nv_lita_benchmark.json @@ -2,406 +2,226 @@ { "vid": "Warehouse_240219_GoPro_7_GX010600_400", "question_id": "Warehouse_240219_GoPro_7_GX010600_400.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man drives a forklift behind three workers\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 60.026633 + "question": "At what time in the video does \"A man drives a forklift behind three workers\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_400", "question_id": "Warehouse_240219_GoPro_7_GX010600_400.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Three factory workers in green vests wearing yellow hats talk\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 60.026633 + "question": "At what time in the video does \"Three factory workers in green vests wearing yellow hats talk\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_400", "question_id": "Warehouse_240219_GoPro_7_GX010600_400.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The three workers move out of the way of the forklift\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.026633 + "question": "When does \"The three workers move out of the way of the forklift\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_400", "question_id": "Warehouse_240219_GoPro_7_GX010600_400.mp4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The forklift moves forward and rotates 90 degrees in front of a shelf of boxes\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.026633 + "question": "When does \"The forklift moves forward and rotates 90 degrees in front of a shelf of boxes\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_400", "question_id": "Warehouse_240219_GoPro_7_GX010600_400.mp4_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The forklift lifts its arm and inserts it into a shelf of boxes\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 60.026633 + "question": "At what time in the video does \"The forklift lifts its arm and inserts it into a shelf of boxes\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_500", "question_id": "Warehouse_240219_GoPro_7_GX010600_500.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A forklift's bars go underneath boxes on a shelf\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 60.026633 + "question": "When is \"A forklift's bars go underneath boxes on a shelf\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_500", "question_id": "Warehouse_240219_GoPro_7_GX010600_500.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The forklift slowly takes the boxes off of the shelf\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.026633 + "question": "When is \"The forklift slowly takes the boxes off of the shelf\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "Warehouse_240219_GoPro_7_GX010600_500", "question_id": "Warehouse_240219_GoPro_7_GX010600_500.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The forklift drives into the distance\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.026633 + "question": "When does \"The forklift drives into the distance\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A box falls\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When is \"A box falls\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The forklift waits for the robot in its way\" happen? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"The forklift waits for the robot in its way\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A worker walks to the box\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"A worker walks to the box\" happen? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A lady picks up the box\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does \"A lady picks up the box\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The worker walks back\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"The worker walks back\" happen? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The box falls again\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"The box falls again\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The lady picks up the box again\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"The lady picks up the box again\" happen? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The forklift moves forward\" take place? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "At what time in the video does \"The forklift moves forward\" take place? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_0", "question_id": "concat_wh_52_0.mp4_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The forklift's arms go up to pick up boxes\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"The forklift's arms go up to pick up boxes\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_300", "question_id": "concat_wh_52_300.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A forklift with boxes moves forward\" happen? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"A forklift with boxes moves forward\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_300", "question_id": "concat_wh_52_300.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"People cross in front of the forklift\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"People cross in front of the forklift\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_300", "question_id": "concat_wh_52_300.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The forklift moves forward\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"The forklift moves forward\" happen? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_300", "question_id": "concat_wh_52_300.mp4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The forklift's arms go up with boxes on top\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "When is \"The forklift's arms go up with boxes on top\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A forklift removes boxes from the shelf\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does \"A forklift removes boxes from the shelf\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"People without uniforms are walking in the warehouse\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When is \"People without uniforms are walking in the warehouse\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A forklift with boxes on it moves forward\" happen? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"A forklift with boxes on it moves forward\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"There are boxes on the floor\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When is \"There are boxes on the floor\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The forklift is stuck because of boxes on the floor\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "When does \"The forklift is stuck because of boxes on the floor\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"People remove the boxes\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When is \"People remove the boxes\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_910", "question_id": "concat_wh_52_910.mp4_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The forklift with boxes on it moves forward\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"The forklift with boxes on it moves forward\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A worker wearing a protective vest and yellow hard hat walks forward and smiles\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "When does \"A worker wearing a protective vest and yellow hard hat walks forward and smiles\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A worker takes of his hat and puts it back on\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"A worker takes of his hat and puts it back on\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A cart with boxes on it arrives\" happen? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"A cart with boxes on it arrives\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Workers move boxes down a conveyor belt\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "When does \"Workers move boxes down a conveyor belt\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A box falls off the conveyor belt\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When is \"A box falls off the conveyor belt\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A box falls off the conveyor belt\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"A box falls off the conveyor belt\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A box falls off the conveyor belt\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what time in the video does \"A box falls off the conveyor belt\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Workers are chitchatting\" happen? Provide a response using only start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"Workers are chitchatting\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white shirt without a uniform is holding his phone and walking\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0 + "question": "At what point in the video does \"A man in a white shirt without a uniform is holding his phone and walking\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_1890", "question_id": "concat_wh_52_1890.mp4_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two people wearing dark clothes and no uniform are walking and chatting\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point in the video does \"Two people wearing dark clothes and no uniform are walking and chatting\" happen? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A robot carrying a box is still in a warehouse, and there are people on the sides\" happen? Provide a response using only start and end timestamps.", - "duration": 59.562 + "question": "At what point in the video does \"A robot carrying a box is still in a warehouse, and there are people on the sides\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A box falls off the robot\" take place? Answer the question only using start and end timestamps.", - "duration": 59.562 + "question": "At what time in the video does \"A box falls off the robot\" take place? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing white without uniform walks closer to the camera\" happen? Provide a response using only start and end timestamps.", - "duration": 59.562 + "question": "At what point in the video does \"A man wearing white without uniform walks closer to the camera\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man puts the box back on the robot\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.562 + "question": "When does \"A man puts the box back on the robot\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man wearing white without uniform walks away\" take place? Answer the question only using start and end timestamps.", - "duration": 59.562 + "question": "At what time in the video does \"The man wearing white without uniform walks away\" take place? Answer the question only using start and end timestamps." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A forklift moves closer to the camera\" happen? Provide a response using only start and end timestamps.", - "duration": 59.562 + "question": "At what point in the video does \"A forklift moves closer to the camera\" happen? Provide a response using only start and end timestamps." }, { "vid": "concat_wh_52_2925", "question_id": "concat_wh_52_2925.mp4_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A robot with a box is blocking the forklift\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 59.562 + "question": "When does \"A robot with a box is blocking the forklift\" happen in the video? Provide a response using only start and end timestamps." } ] diff --git a/data/temporal_localization/data_jsons/annotations/output_llava_temporal.json b/data/temporal_localization/data_jsons/annotations/output_llava_temporal.json index 831bf1ee559e577bb9a46fef1b6da7a0469dc2c8..7032415a27dc26b82936453ea575878ef21bb631 100644 --- a/data/temporal_localization/data_jsons/annotations/output_llava_temporal.json +++ b/data/temporal_localization/data_jsons/annotations/output_llava_temporal.json @@ -2,5626 +2,3126 @@ { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow sedan cross the intersection to move ahead near the center of the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan cross the intersection to move ahead near the center of the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the golden-black hatchback hit the yellow sedan from the left side at the center of the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the golden-black hatchback hit the yellow sedan from the left side at the center of the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow hatchback enter from the bottom right of the frame and move ahead to the center of the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow hatchback enter from the bottom right of the frame and move ahead to the center of the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow-black hatchback exit the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback exit the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow-black hatchback cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow-black hatchback cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the cyan sedan stop at the center of the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the cyan sedan stop at the center of the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When do the black-yellow hatchback and the cyan sedan pass closely to one another depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do the black-yellow hatchback and the cyan sedan pass closely to one another depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a hatchback break down and stop in the middle of the intersection with its right turn signal on after it collides with a yellow sedan happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a hatchback break down and stop in the middle of the intersection with its right turn signal on after it collides with a yellow sedan happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a yellow sedan cross the stop line to exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a yellow sedan cross the stop line to exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a cyan hatchback, with its right turn signal on, drive straight through the intersection and hit a yellow sedan from behind as the yellow sedan tries to turn left happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a cyan hatchback, with its right turn signal on, drive straight through the intersection and hit a yellow sedan from behind as the yellow sedan tries to turn left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does a yellow sedan cross the stop line and enter the intersection from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a yellow sedan cross the stop line and enter the intersection from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a cyan hatchback coming from the top of the frame cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a cyan hatchback coming from the top of the frame cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow car come from the right side of the frame and move straight ahead depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow car come from the right side of the frame and move straight ahead depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green car cross the intersection, collide with a yellow car while turning right wrongfully, and move along with it towards the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green car cross the intersection, collide with a yellow car while turning right wrongfully, and move along with it towards the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow sedan enter the intersection from the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan enter the intersection from the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow-black hatchback hit the yellow sedan from the left side at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback hit the yellow sedan from the left side at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow-black hatchback enter from the bottom left corner of the frame and move ahead to the center of the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow-black hatchback enter from the bottom left corner of the frame and move ahead to the center of the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f3a362c76a", "question_id": "vqa_f3a362c76a.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time does the yellow bus drag the black car out from the left of the frame before coming to a stop happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "During what time does the yellow bus drag the black car out from the left of the frame before coming to a stop happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f3a362c76a", "question_id": "vqa_f3a362c76a.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow bus collide with the black car happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the yellow bus collide with the black car happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f3a362c76a", "question_id": "vqa_f3a362c76a.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a black car, approaching the intersection in the fifth lane from the left of the frame, cross the stop line depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a black car, approaching the intersection in the fifth lane from the left of the frame, cross the stop line depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f3a362c76a", "question_id": "vqa_f3a362c76a.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the time frame when a yellow bus enters the frame while driving in the wrong direction towards the oncoming lanes and slightly turns left at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "What is the time frame when a yellow bus enters the frame while driving in the wrong direction towards the oncoming lanes and slightly turns left at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___High-View___Sample1___cctv_2_0", "question_id": "drivesim___High-View___Sample1___cctv_2_0.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does a blue sedan enter the frame from the left at the third ongoing lane and stop at the signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a blue sedan enter the frame from the left at the third ongoing lane and stop at the signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___High-View___Sample1___cctv_2_0", "question_id": "drivesim___High-View___Sample1___cctv_2_0.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a red ambulance enter the frame from the bottom center, turn towards the right and exit the frame at the bottom? happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a red ambulance enter the frame from the bottom center, turn towards the right and exit the frame at the bottom? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow-black hatchback wrongfully cross the double solid yellow lines and move eratically from one lane to another happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback wrongfully cross the double solid yellow lines and move eratically from one lane to another happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When do a yellow-black hatchback, a green hatchback, and a yellow sedan move toward each other and collide at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do a yellow-black hatchback, a green hatchback, and a yellow sedan move toward each other and collide at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sedan enter the intersection from the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan enter the intersection from the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a yellow-black hatchback cross the stop lines and enter the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a yellow-black hatchback cross the stop lines and enter the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green hatchback enter from the bottom left of the frame and cross the stop lines happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green hatchback enter from the bottom left of the frame and cross the stop lines happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d5d05c1a0e", "question_id": "vqa_d5d05c1a0e.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time interval does the yellow school bus drag the black car it collided with toward the left side of the road near the traffic signal post depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "During what time interval does the yellow school bus drag the black car it collided with toward the left side of the road near the traffic signal post depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d5d05c1a0e", "question_id": "vqa_d5d05c1a0e.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow school bus collide with the black car at the intersection, resulting in an accident happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the yellow school bus collide with the black car at the intersection, resulting in an accident happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d5d05c1a0e", "question_id": "vqa_d5d05c1a0e.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the black car cross the stop line to proceed through the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the black car cross the stop line to proceed through the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow-black hatchback wrongfully cross the double solid yellow line and move onto a lane towards the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback wrongfully cross the double solid yellow line and move onto a lane towards the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow-black hatchback get hit by the blue hatchback and then hit the yellow sedan happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow-black hatchback get hit by the blue hatchback and then hit the yellow sedan happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When do a blue hatchback, a yellow-black hatchback, and a yellow sedan move towards each other at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do a blue hatchback, a yellow-black hatchback, and a yellow sedan move towards each other at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green car approaching from the lane behind the trees on the right side of the frame turn left and collide with a yellow sedan moving on the fifth lane from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green car approaching from the lane behind the trees on the right side of the frame turn left and collide with a yellow sedan moving on the fifth lane from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sedan approach from the bottom of the frame and move straight ahead on the second oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan approach from the bottom of the frame and move straight ahead on the second oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9873782b13", "question_id": "temporal_9873782b13.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow school bus collide with a black sedan at the intersection and push it out of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does a yellow school bus collide with a black sedan at the intersection and push it out of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9873782b13", "question_id": "temporal_9873782b13.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow school bus, coming from the right of the frame, enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow school bus, coming from the right of the frame, enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9873782b13", "question_id": "temporal_9873782b13.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the partially visible black sedan enter from the bottom left corner of the frame and enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the partially visible black sedan enter from the bottom left corner of the frame and enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_55879e3454", "question_id": "vqa_55879e3454.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus enter from the right of the frame into the intersection, collide with a black sedan at the intersection, and push it out towards the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus enter from the right of the frame into the intersection, collide with a black sedan at the intersection, and push it out towards the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two vehicles \u2013 a black sedan followed by a white sedan in the first oncoming lane \u2013 turn toward their right and exit the frame to the right side happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time do two vehicles – a black sedan followed by a white sedan in the first oncoming lane – turn toward their right and exit the frame to the right side happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a black sedan driving in the second oncoming lane exit at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "When does a black sedan driving in the second oncoming lane exit at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a motorcycle driving in the third oncoming lane exit the frame at the bottom depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "When does a motorcycle driving in the third oncoming lane exit the frame at the bottom depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time frame do three vehicles \u2013 a black sedan in the third oncoming lane followed by a gray sedan in the second oncoming lane and a black sedan in the first oncoming lane \u2013 exit the frame at the bottom happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time frame do three vehicles – a black sedan in the third oncoming lane followed by a gray sedan in the second oncoming lane and a black sedan in the first oncoming lane – exit the frame at the bottom happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time frame do two vehicles\u2014a black pickup truck in the second oncoming lane and a black SUV in the third oncoming lane\u2014exit the frame at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time frame do two vehicles—a black pickup truck in the second oncoming lane and a black SUV in the third oncoming lane—exit the frame at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time frame do two vehicles\u2014a black sedan in the first oncoming lane and a black hatchback in the second oncoming lane\u2014exit the frame at the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time frame do two vehicles—a black sedan in the first oncoming lane and a black hatchback in the second oncoming lane—exit the frame at the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a red SUV enter from the bottom of the frame and proceed in the third ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time does a red SUV enter from the bottom of the frame and proceed in the third ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a black SUV enter from the bottom of the frame and proceed in the second ongoing lane with its taillights turned on happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time does a black SUV enter from the bottom of the frame and proceed in the second ongoing lane with its taillights turned on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a silver sedan enter from the bottom of the frame and proceed in the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time does a silver sedan enter from the bottom of the frame and proceed in the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When did the black sedan with the headlights on visible in the first oncoming lane take a turn to the right side? happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "When did the black sedan with the headlights on visible in the first oncoming lane take a turn to the right side? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do the four vehicles involved in the collision come to a complete stop happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time do the four vehicles involved in the collision come to a complete stop happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_11", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time did the silver hatchback collide with the white sedan in the first ongoing lane for the second time after being hit by the white SUV from the back depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time did the silver hatchback collide with the white sedan in the first ongoing lane for the second time after being hit by the white SUV from the back depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_12", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the white car hit the white SUV from behind in the first ongoing lane, causing the collision depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "When does the white car hit the white SUV from behind in the first ongoing lane, causing the collision depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_13", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time did the white SUV enter the frame and collide with the silver hatchback in the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time did the white SUV enter the frame and collide with the silver hatchback in the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_14", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time did the silver hatchback collide with the white sedan on the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "At what time did the silver hatchback collide with the white sedan on the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_5", "question_id": "drivesim___Collision___Real___Collision_5.mp4_15", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the white sedan enter from the bottom of the frame and continue towards the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 12.2641 + "question": "When does the white sedan enter from the bottom of the frame and continue towards the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_db83baf8ea", "question_id": "temporal_db83baf8ea.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time period in which the yellow school bus moves until it comes to a stop on the bottom right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "What is the time period in which the yellow school bus moves until it comes to a stop on the bottom right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_db83baf8ea", "question_id": "temporal_db83baf8ea.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the oncoming yellow bus collide with the black car and drag it toward the bottom right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the oncoming yellow bus collide with the black car and drag it toward the bottom right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_db83baf8ea", "question_id": "temporal_db83baf8ea.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame during which the yellow bus moving in the fifth oncoming lane from the left side of the frame crosses the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "What is the time frame during which the yellow bus moving in the fifth oncoming lane from the left side of the frame crosses the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the green sedan stop in the middle of the first lane from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the green sedan stop in the middle of the first lane from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the green sedan coming from the lane on the bottom left side turn and collide with the yellow sedan moving on the first lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the green sedan coming from the lane on the bottom left side turn and collide with the yellow sedan moving on the first lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow hatchback with a black roof steer slightly to the left and collide with a yellow sedan on its left side depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a yellow hatchback with a black roof steer slightly to the left and collide with a yellow sedan on its left side depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a black hatchback begin moving forward, cross the stop lines, and turn right into the second ongoing lane to the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a black hatchback begin moving forward, cross the stop lines, and turn right into the second ongoing lane to the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a black hatchback, traveling from the right side of the frame to the left, steer slightly to the right and collide with a yellow hatchback with a black roof crossing the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a black hatchback, traveling from the right side of the frame to the left, steer slightly to the right and collide with a yellow hatchback with a black roof crossing the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a black hatchback and a yellow sedan enter from the right side of the frame, cross the stop lines, and then collide with each other within the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a black hatchback and a yellow sedan enter from the right side of the frame, cross the stop lines, and then collide with each other within the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the blue sedan moving toward the left of the frame suddenly stop at the center of the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the blue sedan moving toward the left of the frame suddenly stop at the center of the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow-black hatchback driving in the first oncoming lane from the top left of the frame enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback driving in the first oncoming lane from the top left of the frame enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow-black hatchback exit the intersection toward the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback exit the intersection toward the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow-black hatchback pass by the blue sedan from the side at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow-black hatchback pass by the blue sedan from the side at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the blue sedan enter the intersection from the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the blue sedan enter the intersection from the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c4d36f90e9", "question_id": "temporal_c4d36f90e9.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "After pushing the black car, until what time does the yellow bus remain stationary depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "After pushing the black car, until what time does the yellow bus remain stationary depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c4d36f90e9", "question_id": "temporal_c4d36f90e9.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "After being pushed away by the yellow bus, until what time does the black car continue to move momentarily depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "After being pushed away by the yellow bus, until what time does the black car continue to move momentarily depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c4d36f90e9", "question_id": "temporal_c4d36f90e9.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time period does the yellow bus, after hitting the black car, push it toward the left intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "During what time period does the yellow bus, after hitting the black car, push it toward the left intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c4d36f90e9", "question_id": "temporal_c4d36f90e9.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow bus turn left and hit the oncoming black car happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the yellow bus turn left and hit the oncoming black car happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c4d36f90e9", "question_id": "temporal_c4d36f90e9.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow bus enter from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus enter from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c4d36f90e9", "question_id": "temporal_c4d36f90e9.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the black car, moving in the fifth lane from the left side of the frame, cross the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the black car, moving in the fifth lane from the left side of the frame, cross the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_1", "question_id": "drivesim___Collision___Real___Collision_1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a blue sedan break down and stall in the middle of the street after a crash happen in the video? Answer the question only using start and end timestamps.", - "duration": 9.6615 + "question": "When does a blue sedan break down and stall in the middle of the street after a crash happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_1", "question_id": "drivesim___Collision___Real___Collision_1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a blue sedan fully change to the second oncoming lane and slow down happen in the video? Answer the question only using start and end timestamps.", - "duration": 9.6615 + "question": "When does a blue sedan fully change to the second oncoming lane and slow down happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_1", "question_id": "drivesim___Collision___Real___Collision_1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do three vehicles, a white SUV, a green car, and a black sedan, moving in the ongoing lane, cross the crosswalk at the top of the frame, one after another depicted in the video? Answer the question only using start and end timestamps.", - "duration": 9.6615 + "question": "When do three vehicles, a white SUV, a green car, and a black sedan, moving in the ongoing lane, cross the crosswalk at the top of the frame, one after another depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_1", "question_id": "drivesim___Collision___Real___Collision_1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a black sedan moving in the second oncoming lane hit a blue sedan stalled in the same lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 9.6615 + "question": "At what time does a black sedan moving in the second oncoming lane hit a blue sedan stalled in the same lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ebd964d644", "question_id": "temporal_ebd964d644.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus move to the right of the frame before coming to a stop happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus move to the right of the frame before coming to a stop happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ebd964d644", "question_id": "temporal_ebd964d644.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus drag a black car to the bottom right of the frame after a collision depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus drag a black car to the bottom right of the frame after a collision depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ebd964d644", "question_id": "temporal_ebd964d644.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus collide with a black sedan at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus collide with a black sedan at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ebd964d644", "question_id": "temporal_ebd964d644.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus enter the intersection from the fifth oncoming lane and turn left without activating its left turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus enter the intersection from the fifth oncoming lane and turn left without activating its left turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green car collide with a yellow sedan depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green car collide with a yellow sedan depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sedan enter from the right of the frame, take a U-turn, and exit depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan enter from the right of the frame, take a U-turn, and exit depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green car cross the intersection and move toward a yellow sedan depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green car cross the intersection and move toward a yellow sedan depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9efd2ba575", "question_id": "temporal_9efd2ba575.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "Following the collision, during what time frame did the yellow bus come to a complete stop at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "Following the collision, during what time frame did the yellow bus come to a complete stop at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9efd2ba575", "question_id": "temporal_9efd2ba575.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time interval does the yellow bus cross the intersection from the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time interval does the yellow bus cross the intersection from the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9efd2ba575", "question_id": "temporal_9efd2ba575.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what point does the oncoming yellow bus turn and collide with the moving black car, pushing it out of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what point does the oncoming yellow bus turn and collide with the moving black car, pushing it out of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_e152d8b46b", "question_id": "temporal_e152d8b46b.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "After being pushed away by the yellow bus, how long does the black car continue to move momentarily towards the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "After being pushed away by the yellow bus, how long does the black car continue to move momentarily towards the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_e152d8b46b", "question_id": "temporal_e152d8b46b.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time does the yellow bus drag the black car toward the top of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "During what time does the yellow bus drag the black car toward the top of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_e152d8b46b", "question_id": "temporal_e152d8b46b.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow bus hit the black car happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the yellow bus hit the black car happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_e152d8b46b", "question_id": "temporal_e152d8b46b.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow bus cross the intersection and come from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus cross the intersection and come from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_e152d8b46b", "question_id": "temporal_e152d8b46b.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the black car, oncoming from the right side of the frame, cross the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the black car, oncoming from the right side of the frame, cross the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_cbd74a1c76", "question_id": "vqa_cbd74a1c76.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what point in time does the yellow bus push the black car out of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what point in time does the yellow bus push the black car out of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_cbd74a1c76", "question_id": "vqa_cbd74a1c76.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When did a yellow bus take a quick turn and clash with the black car coming from the bottom right of the frame? happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When did a yellow bus take a quick turn and clash with the black car coming from the bottom right of the frame? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When did a black car driving on the second oncoming lane move to its right and go on the first oncoming lane and slightly enter the no-passing zone happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "When did a black car driving on the second oncoming lane move to its right and go on the first oncoming lane and slightly enter the no-passing zone happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a gray Renault car shift from the second oncoming lane to the first oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "At what time does a gray Renault car shift from the second oncoming lane to the first oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a pick-up truck driving on the second ongoing lane take a right turn towards the right side of the frame and then exit the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "When does a pick-up truck driving on the second ongoing lane take a right turn towards the right side of the frame and then exit the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When does a person step out from the left side of the white SUV halted in the middle of the second oncoming lane, blocking the way for the other vehicles driving on that lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "When does a person step out from the left side of the white SUV halted in the middle of the second oncoming lane, blocking the way for the other vehicles driving on that lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a white SUV moving in the second ongoing lane take a left turn to cross the solid white lines and enter the second oncoming lane, and then stall in the middle depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "When does a white SUV moving in the second ongoing lane take a left turn to cross the solid white lines and enter the second oncoming lane, and then stall in the middle depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a silver sedan moving in the second oncoming lane take a left turn and cross the solid white lines entering the ongoing lanes, leading to a collision with a white SUV driving on the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "At what time does a silver sedan moving in the second oncoming lane take a left turn and cross the solid white lines entering the ongoing lanes, leading to a collision with a white SUV driving on the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a white car, driving in the first oncoming lane from the left of the frame, overtake the silver car driving in the second oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "At what time does a white car, driving in the first oncoming lane from the left of the frame, overtake the silver car driving in the second oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_6", "question_id": "drivesim___Collision___Real___Collision_6.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "What is the time when a black SUV stalls beside a white car in the middle of the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.6458 + "question": "What is the time when a black SUV stalls beside a white car in the middle of the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_24028edcef", "question_id": "vqa_24028edcef.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow bus collide with the black car and move to the right bottom of the frame while dragging it along depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the yellow bus collide with the black car and move to the right bottom of the frame while dragging it along depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_24028edcef", "question_id": "vqa_24028edcef.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the black car enter from the bottom of the frame, driving straight on the road, ignoring the red traffic signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the black car enter from the bottom of the frame, driving straight on the road, ignoring the red traffic signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_24028edcef", "question_id": "vqa_24028edcef.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow bus from the sixth oncoming lane make a left turn happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the yellow bus from the sixth oncoming lane make a left turn happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ededf10478", "question_id": "temporal_ededf10478.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus violate the red traffic signal on the traffic post visible on the right side of the frame and collide with a black sedan crossing the intersection from the fourth oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus violate the red traffic signal on the traffic post visible on the right side of the frame and collide with a black sedan crossing the intersection from the fourth oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e7d222564d", "question_id": "vqa_e7d222564d.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame during which the yellow school bus is moving until it comes to a stop on the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "What is the time frame during which the yellow school bus is moving until it comes to a stop on the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e7d222564d", "question_id": "vqa_e7d222564d.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the oncoming yellow school bus collide with the black sedan and drag it toward the bottom right corner of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the oncoming yellow school bus collide with the black sedan and drag it toward the bottom right corner of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e7d222564d", "question_id": "vqa_e7d222564d.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the black sedan enter from the bottom right of the frame, cross a partially visible intersection, and proceed forward despite the red traffic signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the black sedan enter from the bottom right of the frame, cross a partially visible intersection, and proceed forward despite the red traffic signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e7d222564d", "question_id": "vqa_e7d222564d.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point in time does the yellow school bus, oncoming from the fourth lane from the left, cross the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what point in time does the yellow school bus, oncoming from the fourth lane from the left, cross the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow-black hatchback exit the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback exit the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow-black hatchback cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow-black hatchback cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the cyan sedan stop in the middle of the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the cyan sedan stop in the middle of the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv2.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow-black hatchback pass very close to the cyan sedan happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback pass very close to the cyan sedan happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cb00ec82cd", "question_id": "temporal_cb00ec82cd.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the oncoming yellow bus crash into the black car happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the oncoming yellow bus crash into the black car happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cb00ec82cd", "question_id": "temporal_cb00ec82cd.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow bus cross the intersection from the right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus cross the intersection from the right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cb00ec82cd", "question_id": "temporal_cb00ec82cd.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the black car, oncoming from the first lane on the left side of the frame, cross the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the black car, oncoming from the first lane on the left side of the frame, cross the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cb00ec82cd", "question_id": "temporal_cb00ec82cd.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "After the collision, at what time period did the yellow bus come to a complete stop happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "After the collision, at what time period did the yellow bus come to a complete stop happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_3", "question_id": "drivesim___Collision___Real___Collision_3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the black SUV overturn near the median after the collision happen in the video? Answer the question only using start and end timestamps.", - "duration": 19.398 + "question": "When does the black SUV overturn near the median after the collision happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_3", "question_id": "drivesim___Collision___Real___Collision_3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "At what time does the motorbike get hit due to the collision between the SUV and the sedan? happen in the video? Answer the question only using start and end timestamps.", - "duration": 19.398 + "question": "At what time does the motorbike get hit due to the collision between the SUV and the sedan? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_3", "question_id": "drivesim___Collision___Real___Collision_3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time do the black sedan, coming from the top of the frame, and the black SUV, coming from the right of the frame, collide with each other depicted in the video? Answer the question only using start and end timestamps.", - "duration": 19.398 + "question": "At what time do the black sedan, coming from the top of the frame, and the black SUV, coming from the right of the frame, collide with each other depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___High-View___Sample1___cctv_2_6", "question_id": "drivesim___High-View___Sample1___cctv_2_6.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When do the turning signals change from green to orange and then red, while the lane signals change from red to green at the top right corner of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do the turning signals change from green to orange and then red, while the lane signals change from red to green at the top right corner of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___High-View___Sample1___cctv_2_6", "question_id": "drivesim___High-View___Sample1___cctv_2_6.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a yellow sedan moving on the fourth oncoming lane on the top left of the frame approach the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan moving on the fourth oncoming lane on the top left of the frame approach the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow sedan and a yellow and black hatchback move towards the top right of the frame, crossing the double solid yellow lines while colliding side by side depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan and a yellow and black hatchback move towards the top right of the frame, crossing the double solid yellow lines while colliding side by side depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow sedan cross the intersection and get hit by the yellow and black hatchback happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow sedan cross the intersection and get hit by the yellow and black hatchback happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does the green hatchback cross the stop line and move onto the set of lanes at the top right of the frame?\n\n happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the green hatchback cross the stop line and move onto the set of lanes at the top right of the frame?\n\n happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a green hatchback steer slightly to the right within the intersection and collide with a yellow-and-black hatchback, pushing it out of the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a green hatchback steer slightly to the right within the intersection and collide with a yellow-and-black hatchback, pushing it out of the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv4.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a green hatchback and a yellow sedan enter the intersection from the bottom of the frame, cross the stop line, and collide with each other happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does a green hatchback and a yellow sedan enter the intersection from the bottom of the frame, cross the stop line, and collide with each other happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9155d1985f", "question_id": "temporal_9155d1985f.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus stop at the intersection and block the oncoming lanes, after crashing into a black car happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus stop at the intersection and block the oncoming lanes, after crashing into a black car happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9155d1985f", "question_id": "temporal_9155d1985f.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus coming from the bottom of the frame attempt to turn left at the intersection when the left turn signal is red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus coming from the bottom of the frame attempt to turn left at the intersection when the left turn signal is red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9155d1985f", "question_id": "temporal_9155d1985f.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow bus crash into a black car and drag it to the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does a yellow bus crash into a black car and drag it to the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow sedan cross the stop line and move into the ongoing lane toward the top of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan cross the stop line and move into the ongoing lane toward the top of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the blue and silver hatchback stop at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the blue and silver hatchback stop at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When does the yellow sedan coming from the top of the frame make a left U-turn at the intersection and collide with the blue and silver hatchback coming from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan coming from the top of the frame make a left U-turn at the intersection and collide with the blue and silver hatchback coming from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does the blue and silver hatchback enter from the bottom right corner of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the blue and silver hatchback enter from the bottom right corner of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv2.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow sedan coming from the top of the frame in the ongoing first lane cross the stop lines at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan coming from the top of the frame in the ongoing first lane cross the stop lines at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_48c68a0d14", "question_id": "temporal_48c68a0d14.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "After being pushed by the yellow bus, until what time does the black car move momentarily towards the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "After being pushed by the yellow bus, until what time does the black car move momentarily towards the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_48c68a0d14", "question_id": "temporal_48c68a0d14.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time does the yellow bus drag the black car toward the top of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "During what time does the yellow bus drag the black car toward the top of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_48c68a0d14", "question_id": "temporal_48c68a0d14.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow bus slightly turn left and then hit the black car happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time does the yellow bus slightly turn left and then hit the black car happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_48c68a0d14", "question_id": "temporal_48c68a0d14.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time period does a black car cross the intersection and drive forward from the right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time period does a black car cross the intersection and drive forward from the right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_48c68a0d14", "question_id": "temporal_48c68a0d14.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time period does a yellow bus cross the intersection and drive forward from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "At what time period does a yellow bus cross the intersection and drive forward from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When do a yellow sedan and a green hatchback collide and scrape their sides while moving along the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do a yellow sedan and a green hatchback collide and scrape their sides while moving along the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv4", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow sedan collide with a green hatchback entering from the right side depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan collide with a green hatchback entering from the right side depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "During what time is the front left turn signal of the yellow hatchback blinking as it moves forward toward the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "During what time is the front left turn signal of the yellow hatchback blinking as it moves forward toward the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time are the two vehicles, a yellow sedan and a green hatchback, visible stopped side by side at the intersection, positioned just behind the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "During what time are the two vehicles, a yellow sedan and a green hatchback, visible stopped side by side at the intersection, positioned just behind the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what timestamp is the yellow sedan seen moving forward from the bottom of the frame, crossing the stop lines, and subsequently colliding with both a green hatchback and a yellow hatchback within the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what timestamp is the yellow sedan seen moving forward from the bottom of the frame, crossing the stop lines, and subsequently colliding with both a green hatchback and a yellow hatchback within the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what timestamp is the yellow hatchback seen traveling from the top of the frame, crossing the stop lines, entering the intersection, and colliding with a green hatchback and a yellow sedan while making a left turn, then continuing through the intersection and exiting toward the right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what timestamp is the yellow hatchback seen traveling from the top of the frame, crossing the stop lines, entering the intersection, and colliding with a green hatchback and a yellow sedan while making a left turn, then continuing through the intersection and exiting toward the right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv1.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time is the green hatchback seen traveling from the left side of the frame to the right, crossing the stop lines and colliding with a yellow hatchback and a yellow sedan within the intersection and stalling suddenly happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time is the green hatchback seen traveling from the left side of the frame to the right, crossing the stop lines and colliding with a yellow hatchback and a yellow sedan within the intersection and stalling suddenly happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_2", "question_id": "drivesim___Collision___Real___Collision_2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the black sedan overturn and exit from the left of the frame after the collision depicted in the video? Answer the question only using start and end timestamps.", - "duration": 9.176 + "question": "When does the black sedan overturn and exit from the left of the frame after the collision depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_2", "question_id": "drivesim___Collision___Real___Collision_2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the black pickup truck moving on the second oncoming lane cross the crosswalk and hit the black sedan entering from the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 9.176 + "question": "When does the black pickup truck moving on the second oncoming lane cross the crosswalk and hit the black sedan entering from the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green and black car enter the frame from the bottom happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green and black car enter the frame from the bottom happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green and black car collide with a yellow sedan happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green and black car collide with a yellow sedan happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow sedan approach the intersection and take a U-turn? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a yellow sedan approach the intersection and take a U-turn? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_7", "question_id": "drivesim___Collision___Real___Collision_7.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "At what time, after the collision, does a black SUV move towards its left and stop at the intersection of the oncoming lane while the silver SUV moves right and comes to a halt in the third ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 8.0849 + "question": "At what time, after the collision, does a black SUV move towards its left and stop at the intersection of the oncoming lane while the silver SUV moves right and comes to a halt in the third ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_7", "question_id": "drivesim___Collision___Real___Collision_7.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black SUV entering from the bottom right side of the frame collide with a silver SUV entering from the top right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 8.0849 + "question": "When does a black SUV entering from the bottom right side of the frame collide with a silver SUV entering from the top right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_7", "question_id": "drivesim___Collision___Real___Collision_7.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "What is the time duration when the traffic signal at the top right corner of the frame turns green while the signals for the ongoing lane towards the top of the frame remain red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 8.0849 + "question": "What is the time duration when the traffic signal at the top right corner of the frame turns green while the signals for the ongoing lane towards the top of the frame remain red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_7", "question_id": "drivesim___Collision___Real___Collision_7.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the time duration when a black SUV moved towards the top left side of the frame after a collision with a silver SUV depicted in the video? Answer the question only using start and end timestamps.", - "duration": 8.0849 + "question": "What is the time duration when a black SUV moved towards the top left side of the frame after a collision with a silver SUV depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_7", "question_id": "drivesim___Collision___Real___Collision_7.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time when a silver SUV approaches from the top right corner of the frame and crosses the intersection while overtaking a static white car, which is stopped at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 8.0849 + "question": "What is the time when a silver SUV approaches from the top right corner of the frame and crosses the intersection while overtaking a static white car, which is stopped at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the green sedan come to an abrupt stop on the fifth lane from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the green sedan come to an abrupt stop on the fifth lane from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow sedan moving on the fifth lane from the left come to a near collision with the green sedan approaching from the lane on the right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow sedan moving on the fifth lane from the left come to a near collision with the green sedan approaching from the lane on the right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_47c6b90fc7", "question_id": "vqa_47c6b90fc7.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow bus hit the black sedan coming from the bottom of the frame, even though the traffic lights are showing red, and drag it to the bottom right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the yellow bus hit the black sedan coming from the bottom of the frame, even though the traffic lights are showing red, and drag it to the bottom right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_47c6b90fc7", "question_id": "vqa_47c6b90fc7.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the black sedan with the hazard light on coming from the bottom of the frame cross the intersection? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the black sedan with the hazard light on coming from the bottom of the frame cross the intersection? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_47c6b90fc7", "question_id": "vqa_47c6b90fc7.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow bus coming from the fourth oncoming lane cross the intersection and turn towards its left happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does the yellow bus coming from the fourth oncoming lane cross the intersection and turn towards its left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the cyan sedan stop in the middle of the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the cyan sedan stop in the middle of the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow-black hatchback cross the stop line, exit the intersection, and enter the road at the top of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow-black hatchback cross the stop line, exit the intersection, and enter the road at the top of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When do the cyan sedan and the black-yellow hatchback pass close to one another happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do the cyan sedan and the black-yellow hatchback pass close to one another happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv3.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow-black hatchback enter the intersection from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow-black hatchback enter the intersection from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___Real___Collision_4", "question_id": "drivesim___Collision___Real___Collision_4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the black sedan, entering from the bottom left of the frame, take a slight turn to its left and collide with the truck coming from the top right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 6.7754 + "question": "At what time does the black sedan, entering from the bottom left of the frame, take a slight turn to its left and collide with the truck coming from the top right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow sedan make a slight rightward turn, proceed forward from the right side of the frame to the left, cross the stop lines, and collide on its right side with a black hatchback before exiting the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow sedan make a slight rightward turn, proceed forward from the right side of the frame to the left, cross the stop lines, and collide on its right side with a black hatchback before exiting the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the black hatchback begin moving forward, cross the stop lines, and make a right turn into the ongoing lane to the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the black hatchback begin moving forward, cross the stop lines, and make a right turn into the ongoing lane to the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the black hatchback, traveling from the right side of the frame to the left, steer slightly to the right and collide with the black hatchback crossing the intersection, coming to a sudden stop near the stop line on the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the black hatchback, traveling from the right side of the frame to the left, steer slightly to the right and collide with the black hatchback crossing the intersection, coming to a sudden stop near the stop line on the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv2.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the black hatchback proceed through the intersection, crossing the stop lines from the right side of the frame to the left, and collide with the yellow sedan within the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the black hatchback proceed through the intersection, crossing the stop lines from the right side of the frame to the left, and collide with the yellow sedan within the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the blue hatchback make a sudden stop at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the blue hatchback make a sudden stop at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the blue hatchback exit to the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the blue hatchback exit to the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow hatchback hit the yellow sedan from the side and exit to the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow hatchback hit the yellow sedan from the side and exit to the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the blue hatchback push the yellow hatchback forward from behind depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the blue hatchback push the yellow hatchback forward from behind depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the blue hatchback turn left with the right indicator on and hit the yellow sedan happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the blue hatchback turn left with the right indicator on and hit the yellow sedan happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow hatchback enter the frame from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time does the yellow hatchback enter the frame from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv1.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow sedan enter from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan enter from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time do both the yellow cars make sudden stops at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "At what time do both the yellow cars make sudden stops at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow hatchback collide from the side with the yellow sedan at the center of the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow hatchback collide from the side with the yellow sedan at the center of the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does the yellow sedan enter from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan enter from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When do the two yellow cars make a sudden stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When do the two yellow cars make a sudden stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv2", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow sedan collide from the side with the yellow hatchback at the center of the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the yellow sedan collide from the side with the yellow hatchback at the center of the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the green sedan suddenly halt in the ongoing lane at the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does the green sedan suddenly halt in the ongoing lane at the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv1", "question_id": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green sedan moving in the second oncoming lane cross the intersection, take a left turn wrongfully, and collide with a yellow sedan happen in the video? Answer the question only using start and end timestamps.", - "duration": 16.6667 + "question": "When does a green sedan moving in the second oncoming lane cross the intersection, take a left turn wrongfully, and collide with a yellow sedan happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When do the traffic signals for the ongoing lanes turn from green to yellow and then red, while the left turning signal remains red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do the traffic signals for the ongoing lanes turn from green to yellow and then red, while the left turning signal remains red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the left turning signal above the ongoing lanes turn from green to yellow and then red, while the traffic signal for the ongoing lanes turns from red to green happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does the left turning signal above the ongoing lanes turn from green to yellow and then red, while the traffic signal for the ongoing lanes turns from red to green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black sedan driving in the second oncoming lane cross the intersection and exit from the bottom left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a black sedan driving in the second oncoming lane cross the intersection and exit from the bottom left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a blue SUV moving in the third oncoming lane come to a stop behind a white sedan?\n depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a blue SUV moving in the third oncoming lane come to a stop behind a white sedan?\n depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a green sports car enter from the bottom of the frame and take a left turn by using its left blinkers to exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a green sports car enter from the bottom of the frame and take a left turn by using its left blinkers to exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When do two vehicles, a white sedan followed by a blue SUV, in the third oncoming lane cross the intersection and take a left turn without using their left blinkers to exit from the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do two vehicles, a white sedan followed by a blue SUV, in the third oncoming lane cross the intersection and take a left turn without using their left blinkers to exit from the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does an orange sports car enter from the right side of the frame and cross the intersection to exit from the left side of the frame?\n happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does an orange sports car enter from the right side of the frame and cross the intersection to exit from the left side of the frame?\n happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two vehicles, a sky-blue SUV and a green sports car, on the right side of the frame, cross the intersection and exit from the left side of the frame?\n depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do two vehicles, a sky-blue SUV and a green sports car, on the right side of the frame, cross the intersection and exit from the left side of the frame?\n depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two vehicles, a green hatchback followed by a red sports car, enter from the right side of the frame and take a left turn using their left blinkers to exit from the bottom left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do two vehicles, a green hatchback followed by a red sports car, enter from the right side of the frame and take a left turn using their left blinkers to exit from the bottom left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black hatchback enter from the right side of the frame in the turning lane and take a right turn without giving a right turning signal, and then enter the second ongoing lane driving towards the top of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a black hatchback enter from the right side of the frame in the turning lane and take a right turn without giving a right turning signal, and then enter the second ongoing lane driving towards the top of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a yellow SUV driving in the second oncoming lane cross the intersection and exit from the bottom left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a yellow SUV driving in the second oncoming lane cross the intersection and exit from the bottom left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a11cdee6f3", "question_id": "temporal_a11cdee6f3.mp4_11", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": " When does a white sedan driving in the third oncoming lane approach and then come to a stop at the intersection line?\n happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": " When does a white sedan driving in the third oncoming lane approach and then come to a stop at the intersection line?\n happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_79644f1eba", "question_id": "vqa_79644f1eba.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the left turn traffic light above the ongoing lane turn from green to yellow to red, while the other lights on the ongoing lanes turn from red to green happen in the video? Answer the question only using start and end timestamps.", - "duration": 26.6667 + "question": "When does the left turn traffic light above the ongoing lane turn from green to yellow to red, while the other lights on the ongoing lanes turn from red to green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_79644f1eba", "question_id": "vqa_79644f1eba.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black SUV driving on the first oncoming right turning lane cross the intersection, turn to its right without blinking its right blinker, and exit the frame from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 26.6667 + "question": "When does a black SUV driving on the first oncoming right turning lane cross the intersection, turn to its right without blinking its right blinker, and exit the frame from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_79644f1eba", "question_id": "vqa_79644f1eba.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a red coupe enter the frame from the bottom, cross the intersection, and drive straight onto the first oncoming lane going towards the top of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 26.6667 + "question": "When does a red coupe enter the frame from the bottom, cross the intersection, and drive straight onto the first oncoming lane going towards the top of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_79644f1eba", "question_id": "vqa_79644f1eba.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a blue SUV enter the frame from the right and turn to its right without blinking the right turn blinkers and drive onto the second ongoing lane going towards the top of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 26.6667 + "question": "When does a blue SUV enter the frame from the right and turn to its right without blinking the right turn blinkers and drive onto the second ongoing lane going towards the top of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_0e0ad0bd1a", "question_id": "temporal_0e0ad0bd1a.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a white sedan enter from the bottom of the frame, cross the intersection, and exit on the left side of the frame with its left turn signal on?\n\n depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a white sedan enter from the bottom of the frame, cross the intersection, and exit on the left side of the frame with its left turn signal on?\n\n depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_0e0ad0bd1a", "question_id": "temporal_0e0ad0bd1a.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two vehicles cross the intersection from the left side of the frame to the right, with a red pickup truck crossing first, followed by a white hatchback depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time do two vehicles cross the intersection from the left side of the frame to the right, with a red pickup truck crossing first, followed by a white hatchback depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_0e0ad0bd1a", "question_id": "temporal_0e0ad0bd1a.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During which time period does a speeding white sedan driving in the third oncoming lane cross the intersection toward the right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "During which time period does a speeding white sedan driving in the third oncoming lane cross the intersection toward the right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When do the two signals for traffic flowing towards the ongoing lanes turn yellow from green and then red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the two signals for traffic flowing towards the ongoing lanes turn yellow from green and then red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when the person riding the bicycle on the shared third oncoming lane starts moving slowly, takes a right turn to cross the intersection, and exits from the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when the person riding the bicycle on the shared third oncoming lane starts moving slowly, takes a right turn to cross the intersection, and exits from the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two vehicles, a green SUV and a yellow SUV, enter from the right of the frame simultaneously and cross the intersection to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do two vehicles, a green SUV and a yellow SUV, enter from the right of the frame simultaneously and cross the intersection to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "What is the time frame when a person riding a bicycle enters from the right of the frame and crosses the intersection to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a person riding a bicycle enters from the right of the frame and crosses the intersection to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time frame when a red pickup truck enters from the right of the frame and crosses the intersection to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a red pickup truck enters from the right of the frame and crosses the intersection to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when a green SUV enters from the right of the frame and takes a right turn to go on the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a green SUV enters from the right of the frame and takes a right turn to go on the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time period do two vehicles approach behind the two cars, with a yellow emergency vehicle and a yellow SUV with blinking right turn lights on the second and shared oncoming lanes, respectively? happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period do two vehicles approach behind the two cars, with a yellow emergency vehicle and a yellow SUV with blinking right turn lights on the second and shared oncoming lanes, respectively? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time period do two vehicles approach and stop behind the two cars, with a black SUV and a white sedan on the second and shared oncoming lanes, respectively? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period do two vehicles approach and stop behind the two cars, with a black SUV and a white sedan on the second and shared oncoming lanes, respectively? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "During which time period do two vehicles approach and stop at the intersection behind the two bicycles, with a white sedan and a maroon pickup truck with blinking right turn lights on the second and shared oncoming lanes, respectively? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period do two vehicles approach and stop at the intersection behind the two bicycles, with a white sedan and a maroon pickup truck with blinking right turn lights on the second and shared oncoming lanes, respectively? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time duration when a red sedan with left turn blinkers on enters from the bottom of the frame and takes a left turn to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time duration when a red sedan with left turn blinkers on enters from the bottom of the frame and takes a left turn to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time frame when an orange motorcycle enters from the bottom of the frame and crosses the intersection to go on the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when an orange motorcycle enters from the bottom of the frame and crosses the intersection to go on the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_11", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time duration when a person riding a bicycle enters from the bottom of the frame and takes a left turn to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time duration when a person riding a bicycle enters from the bottom of the frame and takes a left turn to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_12", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time period when a black pickup truck with blinking right turn lights on the first oncoming lane approaches the intersection and takes a right turn to exit from the left of the frame, following behind the orange motorcycle happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time period when a black pickup truck with blinking right turn lights on the first oncoming lane approaches the intersection and takes a right turn to exit from the left of the frame, following behind the orange motorcycle happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_13", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "What is the time duration when an orange motorcycle on the first oncoming lane approaches the intersection and takes a right turn to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time duration when an orange motorcycle on the first oncoming lane approaches the intersection and takes a right turn to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_14", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the time duration when a person riding a bicycle on the second oncoming car lane approaches and stops at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time duration when a person riding a bicycle on the second oncoming car lane approaches and stops at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f43421d042", "question_id": "vqa_f43421d042.mp4_15", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time duration when a person riding a bicycle on the third oncoming lane approaches and stops at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time duration when a person riding a bicycle on the third oncoming lane approaches and stops at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1c51c37929", "question_id": "vqa_1c51c37929.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a motorbike enter from the bottom of the frame, turn right and slow down without turning on its right turn signal, and exit from the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a motorbike enter from the bottom of the frame, turn right and slow down without turning on its right turn signal, and exit from the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1c51c37929", "question_id": "vqa_1c51c37929.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the black SUV enter from the right side of the frame and make a left turn with its left turn signal blinking happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the black SUV enter from the right side of the frame and make a left turn with its left turn signal blinking happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1c51c37929", "question_id": "vqa_1c51c37929.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a bicycle enter from the right side of the frame and turn right into the ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a bicycle enter from the right side of the frame and turn right into the ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1c51c37929", "question_id": "vqa_1c51c37929.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a black car enter from the bottom of the frame, cross the intersection, and move into the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black car enter from the bottom of the frame, cross the intersection, and move into the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1c51c37929", "question_id": "vqa_1c51c37929.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the pickup truck enter from the bottom of the frame, turn right, and exit toward the right side of the frame with its right turn signal on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the pickup truck enter from the bottom of the frame, turn right, and exit toward the right side of the frame with its right turn signal on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1c51c37929", "question_id": "vqa_1c51c37929.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two bicycles enter from the bottom of the frame, with one turning right and exiting to the right side of the frame, while the other goes straight into the ongoing lane? happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do two bicycles enter from the bottom of the frame, with one turning right and exiting to the right side of the frame, while the other goes straight into the ongoing lane? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_2dcc86a420", "question_id": "temporal_2dcc86a420.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the white sedan entering from the right of the frame take its right turn, crossing the intersection when the traffic lights are red while blinking its left turn signal? happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time does the white sedan entering from the right of the frame take its right turn, crossing the intersection when the traffic lights are red while blinking its left turn signal? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_2dcc86a420", "question_id": "temporal_2dcc86a420.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do a maroon sedan moving on the second oncoming lane, a gray hatchback in the fifth lane and a green sports car moving on the sixth oncoming lane stop before the stop line at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time do a maroon sedan moving on the second oncoming lane, a gray hatchback in the fifth lane and a green sports car moving on the sixth oncoming lane stop before the stop line at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_2dcc86a420", "question_id": "temporal_2dcc86a420.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When is the gray car moving on the first lane, turning right towards the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "When is the gray car moving on the first lane, turning right towards the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_0e3bae8710", "question_id": "vqa_0e3bae8710.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "In what time period does the yellow compact SUV, driving down the wrong direction on the first ongoing lane, cross the intersection, make a right U-turn, and turn onto the fourth oncoming lane in the wrong direction depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "In what time period does the yellow compact SUV, driving down the wrong direction on the first ongoing lane, cross the intersection, make a right U-turn, and turn onto the fourth oncoming lane in the wrong direction depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_0e3bae8710", "question_id": "vqa_0e3bae8710.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what timeframe does the green SUV enter from the bottom of the frame, take a left turn using the turn signal, and exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what timeframe does the green SUV enter from the bottom of the frame, take a left turn using the turn signal, and exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_0e3bae8710", "question_id": "vqa_0e3bae8710.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does the green coupe enter from the right of the frame and join the fourth ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the green coupe enter from the right of the frame and join the fourth ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_0e3bae8710", "question_id": "vqa_0e3bae8710.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When do the left turn signals above the ongoing lanes turn from red to green while the signal above the ongoing lane is red happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When do the left turn signals above the ongoing lanes turn from red to green while the signal above the ongoing lane is red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_0e3bae8710", "question_id": "vqa_0e3bae8710.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the maroon coupe on from the first oncoming lane, turn to its right and exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the maroon coupe on from the first oncoming lane, turn to its right and exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_0e3bae8710", "question_id": "vqa_0e3bae8710.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the light-blue pickup truck coming from the top in the first oncoming lane shift to the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the light-blue pickup truck coming from the top in the first oncoming lane shift to the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_fc0cde4512", "question_id": "vqa_fc0cde4512.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the yellow ambulance entering from the bottom of the frame take its left turn while blinking its left turning signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does the yellow ambulance entering from the bottom of the frame take its left turn while blinking its left turning signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_fc0cde4512", "question_id": "vqa_fc0cde4512.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the blue sports car enter from the bottom of the frame and run a red light on the top of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the blue sports car enter from the bottom of the frame and run a red light on the top of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_fc0cde4512", "question_id": "vqa_fc0cde4512.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a gray hatchback, followed by a white hatchback, enter from the left of the frame and exit from the right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a gray hatchback, followed by a white hatchback, enter from the left of the frame and exit from the right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_fc0cde4512", "question_id": "vqa_fc0cde4512.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the maroon SUV moving on the first oncoming lane from the left of the frame change lanes and shift onto the cycle lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does the maroon SUV moving on the first oncoming lane from the left of the frame change lanes and shift onto the cycle lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_fc0cde4512", "question_id": "vqa_fc0cde4512.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the green racing car moving on the first oncoming lane take its right turn, cross the intersection, and exit from the left of the frame while blinking its right turning signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the green racing car moving on the first oncoming lane take its right turn, cross the intersection, and exit from the left of the frame while blinking its right turning signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_fc0cde4512", "question_id": "vqa_fc0cde4512.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a white SUV driving on the cycle lane cross the stop line and turn to its left without blinking its left turning signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does a white SUV driving on the cycle lane cross the stop line and turn to its left without blinking its left turning signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6abfc0e97f", "question_id": "vqa_6abfc0e97f.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the primary overhead turning signal change from an orange arrow to a red arrow while the lane signals change from red to green depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does the primary overhead turning signal change from an orange arrow to a red arrow while the lane signals change from red to green depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6abfc0e97f", "question_id": "vqa_6abfc0e97f.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the primary overhead turning signal change from a green arrow to an orange arrow while the lane signals remain red happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does the primary overhead turning signal change from a green arrow to an orange arrow while the lane signals remain red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6abfc0e97f", "question_id": "vqa_6abfc0e97f.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow bus drag and push the black sedan to the right of the frame and exit happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does the yellow bus drag and push the black sedan to the right of the frame and exit happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6abfc0e97f", "question_id": "vqa_6abfc0e97f.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus turn left while the signals are red and without turning on the left blinkers depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does a yellow bus turn left while the signals are red and without turning on the left blinkers depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6abfc0e97f", "question_id": "vqa_6abfc0e97f.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black sedan cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does a black sedan cross the stop line and enter the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6abfc0e97f", "question_id": "vqa_6abfc0e97f.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow bus coming from the right side of the frame collide with the black sedan moving from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does a yellow bus coming from the right side of the frame collide with the black sedan moving from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a maroon hatchback driving in the first oncoming lane approach the crosswalk at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a maroon hatchback driving in the first oncoming lane approach the crosswalk at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green sports car driving in the first oncoming lane take a right turn to exit from the left side of the frame with its right blinkers flashing happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a green sports car driving in the first oncoming lane take a right turn to exit from the left side of the frame with its right blinkers flashing happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a person riding a kick scooter in the first oncoming lane take a right and cross the intersection to exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a person riding a kick scooter in the first oncoming lane take a right and cross the intersection to exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does an orange and white motorcycle riding in the first oncoming lane take a right and cross the intersection to exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does an orange and white motorcycle riding in the first oncoming lane take a right and cross the intersection to exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a cyclist riding in the second oncoming lane approach and stop at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a cyclist riding in the second oncoming lane approach and stop at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two motorcycles riding in the third oncoming lane approach and stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do two motorcycles riding in the third oncoming lane approach and stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a person driving a kick scooter in the third oncoming lane slow down and stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a person driving a kick scooter in the third oncoming lane slow down and stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a person riding a kick scooter enter the frame from the right side, take a right turn and proceed to the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a person riding a kick scooter enter the frame from the right side, take a right turn and proceed to the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red hatchback enter the frame from the bottom cross the intersection and proceed to the second ongoing lane while the ongoing signals are red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a red hatchback enter the frame from the bottom cross the intersection and proceed to the second ongoing lane while the ongoing signals are red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does an orange and white motorcycle entering from the bottom of the frame cross the intersection and merge into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does an orange and white motorcycle entering from the bottom of the frame cross the intersection and merge into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a cyclist entering from the bottom of the frame cross the intersection and merge into the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a cyclist entering from the bottom of the frame cross the intersection and merge into the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_11", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black sports car enter the frame from the left side and take a left turn to move into the first ongoing lane after crossing the intersection with its left blinker turned on and while the signal changes from yellow to red? happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black sports car enter the frame from the left side and take a left turn to move into the first ongoing lane after crossing the intersection with its left blinker turned on and while the signal changes from yellow to red? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cba37afe60", "question_id": "temporal_cba37afe60.mp4_12", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does an orange and white motorcycle enter the frame from the left side, cross the intersection and enter the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does an orange and white motorcycle enter the frame from the left side, cross the intersection and enter the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does the green sports car enter from the right of the frame and make a left turn with its blinkers on at the intersection to exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does the green sports car enter from the right of the frame and make a left turn with its blinkers on at the intersection to exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what point does the left turn signal turn red while the signal above the ongoing lane switches to green? happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point does the left turn signal turn red while the signal above the ongoing lane switches to green? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Attribute perception", - "question": "When does the white hatchback enter from the bottom of the frame and cross the stop lines to enter the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does the white hatchback enter from the bottom of the frame and cross the stop lines to enter the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time do the cyan sedan, followed by the black sedan, enter from the right of the frame and turn left to move into the first ongoing lane without using their indicators depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time do the cyan sedan, followed by the black sedan, enter from the right of the frame and turn left to move into the first ongoing lane without using their indicators depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the three vehicles\u2014the green pickup truck in the third oncoming lane, the gray SUV in the fifth oncoming lane, and the fire truck behind the gray SUV\u2014begin to cross the intersection and exit from the bottom of the frame one after the other depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do the three vehicles—the green pickup truck in the third oncoming lane, the gray SUV in the fifth oncoming lane, and the fire truck behind the gray SUV—begin to cross the intersection and exit from the bottom of the frame one after the other depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the maroon sedan in the seventh oncoming lane cross the stop lines and make a left U-turn at the intersection to move into the third ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does the maroon sedan in the seventh oncoming lane cross the stop lines and make a left U-turn at the intersection to move into the third ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the light-blue sedan in the sixth oncoming lane begin to cross the stop line with its left blinkers on and turn left to exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does the light-blue sedan in the sixth oncoming lane begin to cross the stop line with its left blinkers on and turn left to exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what point do the four cars\u2014the green pickup truck in the third oncoming lane, gray SUV in the fifth oncoming lane, light-blue sedan in the sixth oncoming lane, and maroon sedan in the seventh oncoming lane\u2014approach the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what point do the four cars—the green pickup truck in the third oncoming lane, gray SUV in the fifth oncoming lane, light-blue sedan in the sixth oncoming lane, and maroon sedan in the seventh oncoming lane—approach the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_4b41b5e30a", "question_id": "vqa_4b41b5e30a.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the light-blue sedan in the seventh oncoming lane cross the solid white line to move into the sixth oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does the light-blue sedan in the seventh oncoming lane cross the solid white line to move into the sixth oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_78b0422de8", "question_id": "temporal_78b0422de8.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black SUV in the second oncoming lane cross the stop line, take a left turn with its left turn signal on, and exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black SUV in the second oncoming lane cross the stop line, take a left turn with its left turn signal on, and exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_78b0422de8", "question_id": "temporal_78b0422de8.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two vehicles, a green sports car and a black SUV, enter from the right of the frame into the second ongoing lane and take a right turn with their right turn signals on happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do two vehicles, a green sports car and a black SUV, enter from the right of the frame into the second ongoing lane and take a right turn with their right turn signals on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_78b0422de8", "question_id": "temporal_78b0422de8.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a bicycle enter from the right of the frame into the second ongoing lane and take a right turn happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a bicycle enter from the right of the frame into the second ongoing lane and take a right turn happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_78b0422de8", "question_id": "temporal_78b0422de8.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a blue sports car enter from the right of the frame into the second ongoing lane and take a right turn without turning on its right turn signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a blue sports car enter from the right of the frame into the second ongoing lane and take a right turn without turning on its right turn signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_78b0422de8", "question_id": "temporal_78b0422de8.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a green sedan in the first oncoming lane cross the stop line and exit from the bottom left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a green sedan in the first oncoming lane cross the stop line and exit from the bottom left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b1b979b771", "question_id": "vqa_b1b979b771.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow bus push the black sedan towards the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the yellow bus push the black sedan towards the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b1b979b771", "question_id": "vqa_b1b979b771.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time do the black sedan and the yellow bus collide in the intersection? happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time do the black sedan and the yellow bus collide in the intersection? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b1b979b771", "question_id": "vqa_b1b979b771.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow bus begin turning left at the intersection? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the yellow bus begin turning left at the intersection? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b1b979b771", "question_id": "vqa_b1b979b771.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow bus cross the white line at the bottom of the frame? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the yellow bus cross the white line at the bottom of the frame? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b1b979b771", "question_id": "vqa_b1b979b771.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does the black sedan in the fifth oncoming lane move out of the white stop line near the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the black sedan in the fifth oncoming lane move out of the white stop line near the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a85845d4b2", "question_id": "temporal_a85845d4b2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time does a person in a purple outfit jaywalk through the intersection, entering from the right side of the frame and walking toward the left while crossing the crosswalk happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During what time does a person in a purple outfit jaywalk through the intersection, entering from the right side of the frame and walking toward the left while crossing the crosswalk happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a85845d4b2", "question_id": "temporal_a85845d4b2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When do two individuals in black outfits briefly run forward and then walk at a normal pace, exiting from the bottom-right portion of the frame within the intersection entry zone while jaywalking depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do two individuals in black outfits briefly run forward and then walk at a normal pace, exiting from the bottom-right portion of the frame within the intersection entry zone while jaywalking depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a85845d4b2", "question_id": "temporal_a85845d4b2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do a metallic gray SUV, followed by a green pickup truck, enter from the left side of the frame into the intersection entry zone and exit to the right, with their red rear lights steadily illuminated for some time before leaving the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do a metallic gray SUV, followed by a green pickup truck, enter from the left side of the frame into the intersection entry zone and exit to the right, with their red rear lights steadily illuminated for some time before leaving the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a85845d4b2", "question_id": "temporal_a85845d4b2.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do a dark red SUV, followed by a light blue SUV, switch from the second oncoming lane to the third oncoming turning lane and stop as they approach the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do a dark red SUV, followed by a light blue SUV, switch from the second oncoming lane to the third oncoming turning lane and stop as they approach the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_abb2acde20", "question_id": "vqa_abb2acde20.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a red fire truck enter from the right side of the frame, make a right turn, and move on the fourth ongoing lane from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a red fire truck enter from the right side of the frame, make a right turn, and move on the fourth ongoing lane from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_abb2acde20", "question_id": "vqa_abb2acde20.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When does a person in a light blue shirt wearing a cap step into the second oncoming lane and exit out of the intersection and block a black SUV in the lane, making it slow down and exit from the bottom happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a person in a light blue shirt wearing a cap step into the second oncoming lane and exit out of the intersection and block a black SUV in the lane, making it slow down and exit from the bottom happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_abb2acde20", "question_id": "vqa_abb2acde20.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a maroon coupe coming from the first oncoming lane exit from the right-turn lane to the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a maroon coupe coming from the first oncoming lane exit from the right-turn lane to the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_abb2acde20", "question_id": "vqa_abb2acde20.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black SUV from the fifth oncoming lane from the left change its lane to the fourth oncoming lane from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black SUV from the fifth oncoming lane from the left change its lane to the fourth oncoming lane from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_abb2acde20", "question_id": "vqa_abb2acde20.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what duration do the cars in the second, third, fourth, fifth and sixth oncoming lanes cross the arrow symbol and stop before the stoppage line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what duration do the cars in the second, third, fourth, fifth and sixth oncoming lanes cross the arrow symbol and stop before the stoppage line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_abb2acde20", "question_id": "vqa_abb2acde20.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the three people standing before the stoppage line turn over their right shoulder and start to run and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the three people standing before the stoppage line turn over their right shoulder and start to run and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_2e79862fe8", "question_id": "vqa_2e79862fe8.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a yellow bus, entering the intersection, turn left and exit the frame from the bottom right while stalling happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a yellow bus, entering the intersection, turn left and exit the frame from the bottom right while stalling happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_2e79862fe8", "question_id": "vqa_2e79862fe8.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the black sedan enter the frame from the bottom right, violate the red signal, turn right, and move along the first ongoing lane from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the black sedan enter the frame from the bottom right, violate the red signal, turn right, and move along the first ongoing lane from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two vehicles, a red SUV in the third oncoming lane and a yellow sedan in the fourth oncoming lane, approach the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When do two vehicles, a red SUV in the third oncoming lane and a yellow sedan in the fourth oncoming lane, approach the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point of time does the white sedan in the third oncoming lane cross the intersection and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what point of time does the white sedan in the third oncoming lane cross the intersection and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the red sedan in the fourth oncoming lane cross the intersection, turn left, and exit the frame from the right depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the red sedan in the fourth oncoming lane cross the intersection, turn left, and exit the frame from the right depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the light blue pickup truck enter from the right side, turn right, and join the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the light blue pickup truck enter from the right side, turn right, and join the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the partially visible red fire truck enter from the right side and stop slightly ahead at the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does the partially visible red fire truck enter from the right side and stop slightly ahead at the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the white sedan in the third oncoming lane approach the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the white sedan in the third oncoming lane approach the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the maroon sedan enter from the right side, turn right, and join the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the maroon sedan enter from the right side, turn right, and join the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the green sports car enter from the bottom of the frame, turn left, and exit the frame from the left without giving a turn indicator happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does the green sports car enter from the bottom of the frame, turn left, and exit the frame from the left without giving a turn indicator happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4cb9d5ea35", "question_id": "temporal_4cb9d5ea35.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point do two vehicles, a red sedan and a yellow sedan in the fourth oncoming lane, stop at the intersection in a queue, one behind the other depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what point do two vehicles, a red sedan and a yellow sedan in the fourth oncoming lane, stop at the intersection in a queue, one behind the other depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two vehicles, a yellow pickup truck and a red SUV, waiting in the third and fourth oncoming lanes, respectively, start moving towards the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time do two vehicles, a yellow pickup truck and a red SUV, waiting in the third and fourth oncoming lanes, respectively, start moving towards the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does a green coupe cross the intersection from the bottom to the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does a green coupe cross the intersection from the bottom to the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During which time frame does a yellow emergency vehicle on the first oncoming lane turn right towards the left of the frame without turning its right turn signal on happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "During which time frame does a yellow emergency vehicle on the first oncoming lane turn right towards the left of the frame without turning its right turn signal on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Attribute perception", - "question": "What is the time frame when a red sedan enters from the right of the frame, crosses the intersection, and exits from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "What is the time frame when a red sedan enters from the right of the frame, crosses the intersection, and exits from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a partially visible red fire department truck enter from the left of the frame and exit from the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a partially visible red fire department truck enter from the left of the frame and exit from the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two gray vehicles, one hatchback and one SUV, cross the intersection from right to left of the frame in succession depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When do two gray vehicles, one hatchback and one SUV, cross the intersection from right to left of the frame in succession depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time duration when a black SUV on the fourth oncoming lane approaches the intersection and stops behind the red SUV happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "What is the time duration when a black SUV on the fourth oncoming lane approaches the intersection and stops behind the red SUV happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow SUV enter from the left of the frame and turn left towards the top of the frame while driving on the wrong side of the road? happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does a yellow SUV enter from the left of the frame and turn left towards the top of the frame while driving on the wrong side of the road? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time when the green sports car on the first oncoming lane turns right towards the left of the frame? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "What is the time when the green sports car on the first oncoming lane turns right towards the left of the frame? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "When does a yellow pickup truck cross the straight directional arrow on the third oncoming lane and stop behind the stop line? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a yellow pickup truck cross the straight directional arrow on the third oncoming lane and stop behind the stop line? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b0732b9be0", "question_id": "temporal_b0732b9be0.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time does a red SUV move along the fourth oncoming lane while approaching the intersection? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "During which time does a red SUV move along the fourth oncoming lane while approaching the intersection? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_a20b813319", "question_id": "vqa_a20b813319.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When do two vehicles, a blue SUV in the third oncoming lane and a yellow ambulance in the fourth oncoming lane, approach the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When do two vehicles, a blue SUV in the third oncoming lane and a yellow ambulance in the fourth oncoming lane, approach the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_a20b813319", "question_id": "vqa_a20b813319.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the partially visible red emergency vehicle enter from the bottom of the frame and turn left to exit toward the left side of the frame while turning on its left turn signal? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the partially visible red emergency vehicle enter from the bottom of the frame and turn left to exit toward the left side of the frame while turning on its left turn signal? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_a20b813319", "question_id": "vqa_a20b813319.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the black SUV in the third oncoming lane shift into the second oncoming lane without turning on its right turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the black SUV in the third oncoming lane shift into the second oncoming lane without turning on its right turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_a20b813319", "question_id": "vqa_a20b813319.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When does a white SUV, followed by a red sports car in the first oncoming lane, make a right turn into the slip lane and exit from the left side of the frame one after another? happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a white SUV, followed by a red sports car in the first oncoming lane, make a right turn into the slip lane and exit from the left side of the frame one after another? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_8ff69eab5e", "question_id": "vqa_8ff69eab5e.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two vehicles, a blue pickup truck and a yellow emergency truck driving on the third and fourth oncoming lanes, respectively, come to a stop at the intersection before the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do two vehicles, a blue pickup truck and a yellow emergency truck driving on the third and fourth oncoming lanes, respectively, come to a stop at the intersection before the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_8ff69eab5e", "question_id": "vqa_8ff69eab5e.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does the green sedan enter from the bottom of the frame, cross the intersection, and drive into the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the green sedan enter from the bottom of the frame, cross the intersection, and drive into the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_8ff69eab5e", "question_id": "vqa_8ff69eab5e.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the green SUV enter from the bottom of the frame, make a left turn, and exit from the left side while the left-turn signal is red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the green SUV enter from the bottom of the frame, make a left turn, and exit from the left side while the left-turn signal is red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When does a yellow SUV driving over the median turn to its right, cross the seventh oncoming lane, and then drive forward on the sixth oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV driving over the median turn to its right, cross the seventh oncoming lane, and then drive forward on the sixth oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV driving in the wrong direction on the sixth oncoming lane turn to its left, take a partial round over the oncoming lane, turn to its right, and then drive over the median happen in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV driving in the wrong direction on the sixth oncoming lane turn to its left, take a partial round over the oncoming lane, turn to its right, and then drive over the median happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a yellow SUV on the fifth oncoming lane drive forward, cross the intersection, and exit from the bottom of the frame?\n depicted in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV on the fifth oncoming lane drive forward, cross the intersection, and exit from the bottom of the frame?\n depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what time does the left turn signal change from green to yellow and then red, while the signal above the ongoing lanes changes from red to green depicted in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "At what time does the left turn signal change from green to yellow and then red, while the signal above the ongoing lanes changes from red to green depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "During what time does a yellow SUV on the sixth oncoming lane cross the intersection line and turn left with its left blinkers and exit from the bottom right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "During what time does a yellow SUV on the sixth oncoming lane cross the intersection line and turn left with its left blinkers and exit from the bottom right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow SUV driving on the sixth oncoming lane approach and then stop at the intersection line while blinking its left blinkers happen in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV driving on the sixth oncoming lane approach and then stop at the intersection line while blinking its left blinkers happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a yellow SUV driving on the fifth oncoming lane approach and then stop at the intersection line happen in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV driving on the fifth oncoming lane approach and then stop at the intersection line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV driving in the wrong direction on the fifth oncoming lane turn to its right and drive over the sixth oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV driving in the wrong direction on the fifth oncoming lane turn to its right and drive over the sixth oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_865858f167", "question_id": "temporal_865858f167.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV enter from the left of the frame, turn to its left while crossing the intersection, and without giving a left-turn signal, and then enter the fifth oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 66.6667 + "question": "When does a yellow SUV enter from the left of the frame, turn to its left while crossing the intersection, and without giving a left-turn signal, and then enter the fifth oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_7e6e083fd0", "question_id": "temporal_7e6e083fd0.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the motorbike driving in the first oncoming lane cross the stop line, take a right turn and exit from the left frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the motorbike driving in the first oncoming lane cross the stop line, take a right turn and exit from the left frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_7e6e083fd0", "question_id": "temporal_7e6e083fd0.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does the blue SUV enter from the bottom frame, cross the intersection, and drive onto the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the blue SUV enter from the bottom frame, cross the intersection, and drive onto the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_7e6e083fd0", "question_id": "temporal_7e6e083fd0.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the red coupe driving in the first oncoming lane cross the stop line, take a right turn and exit from the left frame without using turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the red coupe driving in the first oncoming lane cross the stop line, take a right turn and exit from the left frame without using turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9ed4aeea2c", "question_id": "temporal_9ed4aeea2c.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what point does the maroon SUV in the first oncoming lane cross the intersection, turn right, and enter the crosswalk on the left side of the frame while the pedestrian signal is green happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does the maroon SUV in the first oncoming lane cross the intersection, turn right, and enter the crosswalk on the left side of the frame while the pedestrian signal is green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9ed4aeea2c", "question_id": "temporal_9ed4aeea2c.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a yellow SUV in the second oncoming lane cross the intersection and turn left with its left turn signal on happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a yellow SUV in the second oncoming lane cross the intersection and turn left with its left turn signal on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9ed4aeea2c", "question_id": "temporal_9ed4aeea2c.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what point does a light green sports car enter the frame from the bottom, drive straight, and then enter the first ongoing lane when the signal light above the lane is green happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a light green sports car enter the frame from the bottom, drive straight, and then enter the first ongoing lane when the signal light above the lane is green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9ed4aeea2c", "question_id": "temporal_9ed4aeea2c.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point do two black sedans in the first and second oncoming lanes, respectively, cross the intersection and exit the frame from the bottom happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point do two black sedans in the first and second oncoming lanes, respectively, cross the intersection and exit the frame from the bottom happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9ed4aeea2c", "question_id": "temporal_9ed4aeea2c.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what point do the two black sedans in the first and second oncoming lanes, respectively, come to a stop just before the crosswalk at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point do the two black sedans in the first and second oncoming lanes, respectively, come to a stop just before the crosswalk at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_9ed4aeea2c", "question_id": "temporal_9ed4aeea2c.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what point does a black SUV enter the frame from the right, drive straight across the intersection, and exit the frame from the left while the pedestrian signal there is red happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a black SUV enter the frame from the right, drive straight across the intersection, and exit the frame from the left while the pedestrian signal there is red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sedan at the stop line start moving and turn left while blinking its headlights and exiting from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow sedan at the stop line start moving and turn left while blinking its headlights and exiting from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a motorcyclist enter the frame from the left side and move along the ongoing lane on the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a motorcyclist enter the frame from the left side and move along the ongoing lane on the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow SUV enter the frame from the right side and make a right turn to move along the second ongoing lane from the left without signaling happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a yellow SUV enter the frame from the right side and make a right turn to move along the second ongoing lane from the left without signaling happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What time does an SUV on the first oncoming lane from the left exit from the bottom left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What time does an SUV on the first oncoming lane from the left exit from the bottom left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "During what time does a yellow coupe on the first oncoming lane change to the second oncoming lane before stopping at the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During what time does a yellow coupe on the first oncoming lane change to the second oncoming lane before stopping at the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a cyclist enter the frame from the right side and make a right turn to move along the second ongoing lane from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a cyclist enter the frame from the right side and make a right turn to move along the second ongoing lane from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "At what time does a pickup truck enter the frame from the right side and make a right turn to move along the second ongoing lane from the left and cross the lane direction signboard depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a pickup truck enter the frame from the right side and make a right turn to move along the second ongoing lane from the left and cross the lane direction signboard depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c7d9e8212a", "question_id": "vqa_c7d9e8212a.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time does a gray SUV enter from the right side of the frame while taking a right turn to move along the fourth lane from the left, without using a turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During what time does a gray SUV enter from the right side of the frame while taking a right turn to move along the fourth lane from the left, without using a turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_3", "question_id": "drivesim___Hazard___cctv_3.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a black SUV enter the frame from the right, make a right turn, and enter the fourth ongoing lane without turning on its right turn signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a black SUV enter the frame from the right, make a right turn, and enter the fourth ongoing lane without turning on its right turn signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_3", "question_id": "drivesim___Hazard___cctv_3.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a dark green pickup truck enter the frame from the right, cross the intersection, and exit the frame from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a dark green pickup truck enter the frame from the right, cross the intersection, and exit the frame from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_3", "question_id": "drivesim___Hazard___cctv_3.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a partially visible SUV enter the frame from the left, cross the intersection, and exit the frame towards the right happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a partially visible SUV enter the frame from the left, cross the intersection, and exit the frame towards the right happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_3", "question_id": "drivesim___Hazard___cctv_3.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does a yellow hatchback in the right-turn lane at the extreme left of the frame exit the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a yellow hatchback in the right-turn lane at the extreme left of the frame exit the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_3", "question_id": "drivesim___Hazard___cctv_3.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do the three vehicles, a reddish brown SUV in the third oncoming lane, a green sports car in the fifth oncoming lane, and a black sedan in the sixth oncoming lane, move straight towards the intersection and stop at the signal? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do the three vehicles, a reddish brown SUV in the third oncoming lane, a green sports car in the fifth oncoming lane, and a black sedan in the sixth oncoming lane, move straight towards the intersection and stop at the signal? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "When does the green sports car pass the yellow pedestrian crossing signboard and slow down at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does the green sports car pass the yellow pedestrian crossing signboard and slow down at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what time does the traffic signal above the ongoing lane switch from green to red while the pedestrian signal is red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "At what time does the traffic signal above the ongoing lane switch from green to red while the pedestrian signal is red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a white hatchback enter from the left of the frame and take a left turn into the ongoing lane without turning on its left-turn signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a white hatchback enter from the left of the frame and take a left turn into the ongoing lane without turning on its left-turn signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When does a yellow sedan crossing the stop line in the left turn lane stop suddenly due to the red truck blocking the access to the path on the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a yellow sedan crossing the stop line in the left turn lane stop suddenly due to the red truck blocking the access to the path on the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green sports car cross the stop line and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a green sports car cross the stop line and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a partially visible fire truck enter from the right of the frame and suddenly stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a partially visible fire truck enter from the right of the frame and suddenly stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a blue hatchback enter from the bottom of the frame, take a left turn with its left turn signal blinking, and exit from the left of the frame while the traffic signal is red happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a blue hatchback enter from the bottom of the frame, take a left turn with its left turn signal blinking, and exit from the left of the frame while the traffic signal is red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_97ac80c806", "question_id": "vqa_97ac80c806.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do three cars, a green sports car, a blue SUV, and a yellow sedan, approach the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When do three cars, a green sports car, a blue SUV, and a yellow sedan, approach the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "At what time does the traffic signal change its color from red to green for the ongoing lanes happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the traffic signal change its color from red to green for the ongoing lanes happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "At what time does the traffic signal change its color from green to yellow for the ongoing lanes happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the traffic signal change its color from green to yellow for the ongoing lanes happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time duration does the black SUV in the first oncoming lane move towards the intersection, take a right turn, and exit the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time duration does the black SUV in the first oncoming lane move towards the intersection, take a right turn, and exit the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Attribute perception", - "question": "During what time duration is the red truck blinking its left indicator while waiting at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During what time duration is the red truck blinking its left indicator while waiting at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the red sports car enter the frame from the bottom right, cross the intersection, move into the first ongoing lane, and continue driving depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the red sports car enter the frame from the bottom right, cross the intersection, move into the first ongoing lane, and continue driving depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the black-blue pickup truck cross the intersection to move forward and exit the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the black-blue pickup truck cross the intersection to move forward and exit the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the gray SUV enter the frame from the bottom right, cross the intersection, move into the first ongoing lane, and continue driving happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the gray SUV enter the frame from the bottom right, cross the intersection, move into the first ongoing lane, and continue driving happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When is a red truck seen stopping near the stop line at the intersection in the last oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When is a red truck seen stopping near the stop line at the intersection in the last oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what duration does a partially visible black car enter the frame from the right and stopnear the stop line at the intersection? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what duration does a partially visible black car enter the frame from the right and stopnear the stop line at the intersection? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_2", "question_id": "drivesim___Hazard___cctv_2.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red-maroon sedan enter the frame from the right to take a right turn towards the last ongoing lane and continue to drive with its hazard signals on happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a red-maroon sedan enter the frame from the right to take a right turn towards the last ongoing lane and continue to drive with its hazard signals on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When does a dark green hatchback in the second ongoing lane at the top right of the frame briefly pause to yield to a gray SUV happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a dark green hatchback in the second ongoing lane at the top right of the frame briefly pause to yield to a gray SUV happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does a dark green hatchback enter the second ongoing lane at the top right of the frame while the signal light for the ongoing lane is green happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a dark green hatchback enter the second ongoing lane at the top right of the frame while the signal light for the ongoing lane is green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black coupe enter from the right of the frame, cross the intersection, and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a black coupe enter from the right of the frame, cross the intersection, and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a dark maroon SUV at the left of the frame flash its hazard lights and enter the ongoing lanes at the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a dark maroon SUV at the left of the frame flash its hazard lights and enter the ongoing lanes at the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV collide with a black coupe, resulting in the coupe being thrust to the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a yellow SUV collide with a black coupe, resulting in the coupe being thrust to the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a yellow SUV collide with a black SUV and a black coupe happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does a yellow SUV collide with a black SUV and a black coupe happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two black cars, an SUV and a coupe, cross the stop line and enter the intersection area depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When do two black cars, an SUV and a coupe, cross the stop line and enter the intersection area depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a gray SUV come from the right of the frame and turn right towards the second ongoing lane at the top of the frame without activating its right turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does a gray SUV come from the right of the frame and turn right towards the second ongoing lane at the top of the frame without activating its right turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20", "question_id": "drivesim___Collision___DriveSIM___10_non-collision_scenarios___TC_20.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a black coupe in the first oncoming lane from the set of oncoming lanes at the top left of the frame cross the intersection, turn right, and merge into the set of ongoing lanes to the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a black coupe in the first oncoming lane from the set of oncoming lanes at the top left of the frame cross the intersection, turn right, and merge into the set of ongoing lanes to the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_5766443219", "question_id": "temporal_5766443219.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sedan in the fourth oncoming lane change lanes to the third oncoming lane by crossing over the broken white line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow sedan in the fourth oncoming lane change lanes to the third oncoming lane by crossing over the broken white line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_5766443219", "question_id": "temporal_5766443219.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red truck in the fifth oncoming lane wrongfully change its lane to the sixth while crossing over the solid white line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a red truck in the fifth oncoming lane wrongfully change its lane to the sixth while crossing over the solid white line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_1", "question_id": "drivesim___Hazard___cctv_1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does a red sports car enter the frame from the right, drive past a fallen tree branch blocking the fourth ongoing lane, cross the intersection, and exit the frame from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a red sports car enter the frame from the right, drive past a fallen tree branch blocking the fourth ongoing lane, cross the intersection, and exit the frame from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_1", "question_id": "drivesim___Hazard___cctv_1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a green pick-up truck enter the frame from the left, cross the intersection, and exit the frame to the right happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a green pick-up truck enter the frame from the left, cross the intersection, and exit the frame to the right happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_1", "question_id": "drivesim___Hazard___cctv_1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a gray SUV enter the frame from the right, cross the intersection, and exit the frame to the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a gray SUV enter the frame from the right, cross the intersection, and exit the frame to the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_1", "question_id": "drivesim___Hazard___cctv_1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a maroon sedan in the first oncoming lane take a right turn and exit the frame without its right turn signal on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a maroon sedan in the first oncoming lane take a right turn and exit the frame without its right turn signal on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Hazard___cctv_1", "question_id": "drivesim___Hazard___cctv_1.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do the three vehicles\u2014a green SUV in the second oncoming lane, a maroon pickup truck in the third oncoming lane, and a gray SUV in the seventh oncoming lane stop before the stop line at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do the three vehicles—a green SUV in the second oncoming lane, a maroon pickup truck in the third oncoming lane, and a gray SUV in the seventh oncoming lane stop before the stop line at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff89de939c", "question_id": "vqa_ff89de939c.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what point do two vehicles, a blue pickup truck and a black car in the oncoming lane, stop at the intersection in a queue, one behind the other?\n depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point do two vehicles, a blue pickup truck and a black car in the oncoming lane, stop at the intersection in a queue, one behind the other?\n depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff89de939c", "question_id": "vqa_ff89de939c.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a green hatchback enter the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a green hatchback enter the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff89de939c", "question_id": "vqa_ff89de939c.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "When does a red pickup truck pass the bifurcation arrow marking in the oncoming lane?\n happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a red pickup truck pass the bifurcation arrow marking in the oncoming lane?\n happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff89de939c", "question_id": "vqa_ff89de939c.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red pickup truck in the oncoming lane cross the stop line and turn left while its right rear red turn signal is blinking depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a red pickup truck in the oncoming lane cross the stop line and turn left while its right rear red turn signal is blinking depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the signal on the ongoing lane turn from red to green happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the signal on the ongoing lane turn from red to green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "During which time period does the left signal turn orange, and then red from green happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "During which time period does the left signal turn orange, and then red from green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the blue car moving on the third oncoming lane cross the intersection and exit through the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the blue car moving on the third oncoming lane cross the intersection and exit through the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When do the white car in the fifth oncoming lane and the yellow car in the second ongoing lane pass each other at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When do the white car in the fifth oncoming lane and the yellow car in the second ongoing lane pass each other at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a gray car enter from the right to the fifth ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a gray car enter from the right to the fifth ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When do the white car in the fifth oncoming lane and the white car in the third ongoing lane pass each other at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When do the white car in the fifth oncoming lane and the white car in the third ongoing lane pass each other at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the white car in the fifth oncoming lane cross the intersection and exit through the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the white car in the fifth oncoming lane cross the intersection and exit through the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1", "question_id": "drivesim___ODVG___Nvidia_ITS_1___Sample_2___cctv_1.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a blue pickup truck enter the frame from the bottom right and take a wrong left turn despite the signal light to the left being red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a blue pickup truck enter the frame from the bottom right and take a wrong left turn despite the signal light to the left being red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f7a3d7c1b6", "question_id": "vqa_f7a3d7c1b6.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a yellow sedan enter from the right side of the frame, cross the intersection, and move toward the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time does a yellow sedan enter from the right side of the frame, cross the intersection, and move toward the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f7a3d7c1b6", "question_id": "vqa_f7a3d7c1b6.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do two black sedans driving in the second oncoming lane stop at the signal near the stopline, followed by a black SUV behind them happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time do two black sedans driving in the second oncoming lane stop at the signal near the stopline, followed by a black SUV behind them happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f7a3d7c1b6", "question_id": "vqa_f7a3d7c1b6.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "At what time do two individuals collide with each other near the intersection on the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time do two individuals collide with each other near the intersection on the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f7a3d7c1b6", "question_id": "vqa_f7a3d7c1b6.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "During what time duration do multiple individuals jaywalk near or around the intersection while the pedestrian signal on the left side of the frame is red happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "During what time duration do multiple individuals jaywalk near or around the intersection while the pedestrian signal on the left side of the frame is red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f7a3d7c1b6", "question_id": "vqa_f7a3d7c1b6.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what time duration do the traffic lights change from green to yellow and then to red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time duration do the traffic lights change from green to yellow and then to red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1b6cfed3fe", "question_id": "vqa_1b6cfed3fe.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does the hatchback enter from the right and make a right turn to move into the first ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the hatchback enter from the right and make a right turn to move into the first ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1b6cfed3fe", "question_id": "vqa_1b6cfed3fe.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black coupe enter from the right side of the frame, turn left with its left turn signal on, and exit toward the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black coupe enter from the right side of the frame, turn left with its left turn signal on, and exit toward the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1b6cfed3fe", "question_id": "vqa_1b6cfed3fe.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a black coupe enter from the right side of the frame and make a left turn toward the bottom of the frame with its left turn signal on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what point does a black coupe enter from the right side of the frame and make a left turn toward the bottom of the frame with its left turn signal on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1b6cfed3fe", "question_id": "vqa_1b6cfed3fe.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the bicycle on the right of the frame cross the intersection despite the green pedestrian signal and then turn right to proceed into the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the bicycle on the right of the frame cross the intersection despite the green pedestrian signal and then turn right to proceed into the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1b6cfed3fe", "question_id": "vqa_1b6cfed3fe.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does the red emergency vehicle enter from the right side of the frame, cross the intersection, and exit to the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the red emergency vehicle enter from the right side of the frame, cross the intersection, and exit to the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1b6cfed3fe", "question_id": "vqa_1b6cfed3fe.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the two vehicles, a red sedan in the first oncoming lane and a black sedan in the second oncoming lane, approach the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the two vehicles, a red sedan in the first oncoming lane and a black sedan in the second oncoming lane, approach the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_00ebe0990e", "question_id": "temporal_00ebe0990e.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus come to a sudden stop after crashing into a black car depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus come to a sudden stop after crashing into a black car depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_00ebe0990e", "question_id": "temporal_00ebe0990e.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus drag a black sedan to the ongoing lane at the top right of the frame after a collision depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus drag a black sedan to the ongoing lane at the top right of the frame after a collision depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_00ebe0990e", "question_id": "temporal_00ebe0990e.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus collide with a black sedan at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus collide with a black sedan at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_00ebe0990e", "question_id": "temporal_00ebe0990e.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black sedan from the right of the frame enter the intersection while flashing its left rear turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a black sedan from the right of the frame enter the intersection while flashing its left rear turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_00ebe0990e", "question_id": "temporal_00ebe0990e.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow bus enter from the left of the frame and turn left at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0 + "question": "When does a yellow bus enter from the left of the frame and turn left at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cc7a66d2c9", "question_id": "temporal_cc7a66d2c9.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "When does a black sedan moving from the bottom left of the frame cross the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does a black sedan moving from the bottom left of the frame cross the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cc7a66d2c9", "question_id": "temporal_cc7a66d2c9.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the duration during which the yellow bus drag the black sedan out of the frame and exit from the bottom right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "What is the duration during which the yellow bus drag the black sedan out of the frame and exit from the bottom right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cc7a66d2c9", "question_id": "temporal_cc7a66d2c9.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow school bus hit the black sedan driving from the bottom left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does the yellow school bus hit the black sedan driving from the bottom left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_cc7a66d2c9", "question_id": "temporal_cc7a66d2c9.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow bus crossing the stop line from the sixth oncoming lane of the top right set of lanes turn left at the intersection without turning its left turn signal on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "When does a yellow bus crossing the stop line from the sixth oncoming lane of the top right set of lanes turn left at the intersection without turning its left turn signal on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "When do a yellow sedan and the white pickup truck pass through the intersection and slow down while turning left due to a stalled red fire truck ahead happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do a yellow sedan and the white pickup truck pass through the intersection and slow down while turning left due to a stalled red fire truck ahead happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green sports car in the oncoming lane beside the median cross the intersection and turn left to exit from the right of the frame without its left blinker on happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a green sports car in the oncoming lane beside the median cross the intersection and turn left to exit from the right of the frame without its left blinker on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a white hatchback enter from the bottom right of the frame at the yellow signal and turn left to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a white hatchback enter from the bottom right of the frame at the yellow signal and turn left to exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black coupe enter from the bottom right of the frame, turn left, and proceed to exit from the left of the frame without activating its left blinker happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a black coupe enter from the bottom right of the frame, turn left, and proceed to exit from the left of the frame without activating its left blinker happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red fire truck enter the frame from the left and unexpectedly stall at the intersection on the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a red fire truck enter the frame from the left and unexpectedly stall at the intersection on the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green sedan enter from the left of the frame and make a U-turn at the intersection to the left without activating its left blinker, exiting the frame on the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a green sedan enter from the left of the frame and make a U-turn at the intersection to the left without activating its left blinker, exiting the frame on the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": " When do the two cars beside the median, a yellow sedan and a green SUV in the oncoming lanes, approach the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": " When do the two cars beside the median, a yellow sedan and a green SUV in the oncoming lanes, approach the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a orange coupe in the first ongoing lane, pass through the intersection and turn right to exit from the left of the frame without its right blinker on happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does a orange coupe in the first ongoing lane, pass through the intersection and turn right to exit from the left of the frame without its right blinker on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_5facea5bc9", "question_id": "vqa_5facea5bc9.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the blue sedan in the first ongoing lane, cross the intersection and turn right to exit from the left of the frame without its right blinker on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When does the blue sedan in the first ongoing lane, cross the intersection and turn right to exit from the left of the frame without its right blinker on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a30a4701de", "question_id": "temporal_a30a4701de.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a bicycle enter from the left of the frame, cross the intersection, and turn left to move on the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a bicycle enter from the left of the frame, cross the intersection, and turn left to move on the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a30a4701de", "question_id": "temporal_a30a4701de.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does the motorbike, on the first oncoming lane from the left, pass by the bicycle and the kick scooter, and exit the frame on the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the motorbike, on the first oncoming lane from the left, pass by the bicycle and the kick scooter, and exit the frame on the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a30a4701de", "question_id": "temporal_a30a4701de.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow SUV driving in the first oncoming lane switch to the second oncoming lane without blinking its left turn signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the yellow SUV driving in the first oncoming lane switch to the second oncoming lane without blinking its left turn signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a30a4701de", "question_id": "temporal_a30a4701de.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do the two vehicles, a bicycle and a kick scooter in the second oncoming lane, approach the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do the two vehicles, a bicycle and a kick scooter in the second oncoming lane, approach the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a30a4701de", "question_id": "temporal_a30a4701de.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does the motorbike enter from the right of the frame, cross the intersection, and exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the motorbike enter from the right of the frame, cross the intersection, and exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a blue sedan in the third ongoing lane move to the second ongoing lane after both roads merge together happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a blue sedan in the third ongoing lane move to the second ongoing lane after both roads merge together happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a blue sedan enter the third ongoing lane to the left of the median with the 'left-turn' traffic sign, coming from the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a blue sedan enter the third ongoing lane to the left of the median with the 'left-turn' traffic sign, coming from the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a silver sedan enter the second ongoing lane to the left of the median with the 'left-turn' traffic sign, coming from the bottom right corner of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a silver sedan enter the second ongoing lane to the left of the median with the 'left-turn' traffic sign, coming from the bottom right corner of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a red sedan enter the second ongoing lane to the left of the median with the 'left-turn' traffic sign, coming from the bottom right corner of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a red sedan enter the second ongoing lane to the left of the median with the 'left-turn' traffic sign, coming from the bottom right corner of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what point does a blue SUV enter the frame from the bottom and collide with a green pickup truck coming from the other side depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a blue SUV enter the frame from the bottom and collide with a green pickup truck coming from the other side depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "At what point does a green pickup truck in the third oncoming lane next to the median with the 'left-turn' traffic sign cross the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a green pickup truck in the third oncoming lane next to the median with the 'left-turn' traffic sign cross the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_248d422182", "question_id": "temporal_248d422182.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a red sedan in the second oncoming lane to the right of the median with the 'left-turn' traffic sign cross the intersection and exit the frame from the bottom left corner depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point does a red sedan in the second oncoming lane to the right of the median with the 'left-turn' traffic sign cross the intersection and exit the frame from the bottom left corner depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6f415592ff", "question_id": "vqa_6f415592ff.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV moving in the wrong direction in the first ongoing lane cross the intersection and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow SUV moving in the wrong direction in the first ongoing lane cross the intersection and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6f415592ff", "question_id": "vqa_6f415592ff.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a gray hatchback enter from the right side of the frame, turn left, and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a gray hatchback enter from the right side of the frame, turn left, and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6f415592ff", "question_id": "vqa_6f415592ff.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV moving in the fourth ongoing lane make a U-turn, change lanes, and move in the wrong direction into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow SUV moving in the fourth ongoing lane make a U-turn, change lanes, and move in the wrong direction into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6f415592ff", "question_id": "vqa_6f415592ff.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do four vehicles, a black pickup truck, a green pickup truck, another black pickup truck, and a green hatchback, in the second, third, sixth, and seventh oncoming lanes, respectively, approach the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do four vehicles, a black pickup truck, a green pickup truck, another black pickup truck, and a green hatchback, in the second, third, sixth, and seventh oncoming lanes, respectively, approach the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "At what point does a yellow hatchback drive over the pedestrian crossing on the left side of the frame as it crosses the intersection from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what point does a yellow hatchback drive over the pedestrian crossing on the left side of the frame as it crosses the intersection from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do four vehicles cross the intersection from the left side of the frame to the right, with a blue pickup truck and a blue SUV crossing first, followed closely by a sedan and a dark SUV driving side by side happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do four vehicles cross the intersection from the left side of the frame to the right, with a blue pickup truck and a blue SUV crossing first, followed closely by a sedan and a dark SUV driving side by side happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does an orange SUV, driving from the oncoming lane at the top of the frame, make a right turn at the intersection without blinking its right turn signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does an orange SUV, driving from the oncoming lane at the top of the frame, make a right turn at the intersection without blinking its right turn signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what point does a cyclist slow down in the middle of the intersection and later exit toward the bottom right corner of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what point does a cyclist slow down in the middle of the intersection and later exit toward the bottom right corner of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time period do two cyclists, one ahead of the other, cross the stop line and the pedestrian crosswalk from the oncoming lanes extending from the top of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period do two cyclists, one ahead of the other, cross the stop line and the pedestrian crosswalk from the oncoming lanes extending from the top of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a hatchback, driving from the oncoming lane at the top of the frame, make a right turn at the intersection and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a hatchback, driving from the oncoming lane at the top of the frame, make a right turn at the intersection and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_b5bd435fbb", "question_id": "vqa_b5bd435fbb.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "At what time does a motorbike in the oncoming lane, present at the top of the frame, cross the pole displaying the \"One Way\" road sign and exit toward the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does a motorbike in the oncoming lane, present at the top of the frame, cross the pole displaying the \"One Way\" road sign and exit toward the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff9c36e77e", "question_id": "vqa_ff9c36e77e.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two cars, a green SUV followed by a red SUV, cross the intersection by driving straight from the right side to the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When do two cars, a green SUV followed by a red SUV, cross the intersection by driving straight from the right side to the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff9c36e77e", "question_id": "vqa_ff9c36e77e.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does the yellow emergency vehicle in the first oncoming lane turn right and exit to the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the yellow emergency vehicle in the first oncoming lane turn right and exit to the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff9c36e77e", "question_id": "vqa_ff9c36e77e.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow SUV, which is wrongfully driving in the first ongoing lane, cross the stop lines and make a right turn at the intersection to exit from the left of the frame without using its right turn signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the yellow SUV, which is wrongfully driving in the first ongoing lane, cross the stop lines and make a right turn at the intersection to exit from the left of the frame without using its right turn signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff9c36e77e", "question_id": "vqa_ff9c36e77e.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow SUV in the first oncoming lane turn right and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the yellow SUV in the first oncoming lane turn right and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff9c36e77e", "question_id": "vqa_ff9c36e77e.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the green sedan coming from the top in the first oncoming lane shift into the second oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the green sedan coming from the top in the first oncoming lane shift into the second oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_ff9c36e77e", "question_id": "vqa_ff9c36e77e.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what point does the left-turn traffic signal turn red while the signal above the ongoing lane switches to green happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what point does the left-turn traffic signal turn red while the signal above the ongoing lane switches to green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_88ca8ccfef", "question_id": "temporal_88ca8ccfef.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "When does a green sports car enter from the right of the frame and move into the first ongoing lane by passing the white and red traffic island bollard and the red \"DO NOT ENTER\" sign happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a green sports car enter from the right of the frame and move into the first ongoing lane by passing the white and red traffic island bollard and the red \"DO NOT ENTER\" sign happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_88ca8ccfef", "question_id": "temporal_88ca8ccfef.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black coupe moving in the first oncoming lane without activating its headlights proceed to cross the intersection and exit from the bottom left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black coupe moving in the first oncoming lane without activating its headlights proceed to cross the intersection and exit from the bottom left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f41698aea0", "question_id": "vqa_f41698aea0.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a gray SUV enter from the right of the frame and move past the pedestrian standing in front of the oncoming lanes and blocking it happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0 + "question": "At what time does a gray SUV enter from the right of the frame and move past the pedestrian standing in front of the oncoming lanes and blocking it happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f41698aea0", "question_id": "vqa_f41698aea0.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When did a green sports car moving behind a gray hatchback change the lane from the second oncoming lane to the third oncoming lane? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 30.0 + "question": "When did a green sports car moving behind a gray hatchback change the lane from the second oncoming lane to the third oncoming lane? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f41698aea0", "question_id": "vqa_f41698aea0.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a gray hatchback in the second oncoming lane from the left cross the forward arrow marking on the lane and approach the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 30.0 + "question": "When does a gray hatchback in the second oncoming lane from the left cross the forward arrow marking on the lane and approach the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f41698aea0", "question_id": "vqa_f41698aea0.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a gray hatchback in the first oncoming lane change lanes to the second oncoming lane without activating its turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0 + "question": "When does a gray hatchback in the first oncoming lane change lanes to the second oncoming lane without activating its turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f41698aea0", "question_id": "vqa_f41698aea0.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does a white hatchback in the first oncoming lane from the left turn right to exit from the left of the frame without turning on its right turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0 + "question": "At what time does a white hatchback in the first oncoming lane from the left turn right to exit from the left of the frame without turning on its right turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_f41698aea0", "question_id": "vqa_f41698aea0.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a group of pedestrians encroach on the lanes at the intersection, impeding vehicular traffic happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0 + "question": "When does a group of pedestrians encroach on the lanes at the intersection, impeding vehicular traffic happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Speeding___cctv_4", "question_id": "drivesim___Speeding___cctv_4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "At what time does the green sports car enter the frame from the bottom and collide with the red SUV approaching in the first oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 10.0 + "question": "At what time does the green sports car enter the frame from the bottom and collide with the red SUV approaching in the first oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Speeding___cctv_4", "question_id": "drivesim___Speeding___cctv_4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the red car in the second oncoming lane change lanes and merge into the first oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 10.0 + "question": "At what time does the red car in the second oncoming lane change lanes and merge into the first oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "drivesim___Speeding___cctv_4", "question_id": "drivesim___Speeding___cctv_4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the red crossover SUV coming from the third oncoming lane begin turning left at the intersection without using the turn indicator and exit the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 10.0 + "question": "At what time does the red crossover SUV coming from the third oncoming lane begin turning left at the intersection without using the turn indicator and exit the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the gray SUV enter from the right of the frame, cross the intersection, and exit to the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the gray SUV enter from the right of the frame, cross the intersection, and exit to the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does the green sedan enter from the right of the frame, cross the intersection, and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the green sedan enter from the right of the frame, cross the intersection, and exit to the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do the two vehicles\u2014a blue SUV and a yellow ambulance\u2014enter from the left of the frame and exit to the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what time do the two vehicles—a blue SUV and a yellow ambulance—enter from the left of the frame and exit to the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the red fire truck enter from the right side of the frame and turn toward the bottom of the frame while blinking the emergency lights happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the red fire truck enter from the right side of the frame and turn toward the bottom of the frame while blinking the emergency lights happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does the blue SUV enter from the turning lane on the right side of the frame and merge into the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what time does the blue SUV enter from the turning lane on the right side of the frame and merge into the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does the black SUV enter from the turning lane on the right side of the frame and merge into the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what time does the black SUV enter from the turning lane on the right side of the frame and merge into the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the red sedan entering from the right of the frame cross the intersection and move into the second ongoing lane while the overhead traffic signal turns green happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the red sedan entering from the right of the frame cross the intersection and move into the second ongoing lane while the overhead traffic signal turns green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "At what time does the yellow pickup truck entering from the bottom right of the frame stop to allow the green car to pass happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what time does the yellow pickup truck entering from the bottom right of the frame stop to allow the green car to pass happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_dce7db0fe6", "question_id": "vqa_dce7db0fe6.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the green SUV coming from the second oncoming lane make a left turn without using its left turning signal and exit toward the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the green SUV coming from the second oncoming lane make a left turn without using its left turning signal and exit toward the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c9f404ffde", "question_id": "vqa_c9f404ffde.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the maroon SUV on the second oncoming lane pass over the stop line, and collide with the yellow ambulance happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the maroon SUV on the second oncoming lane pass over the stop line, and collide with the yellow ambulance happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c9f404ffde", "question_id": "vqa_c9f404ffde.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "In what timeframe does the left turn traffic light above the ongoing lanes at the top of the frame turn from green to yellow to blue, while the other two lights on the pole turn from red to green depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "In what timeframe does the left turn traffic light above the ongoing lanes at the top of the frame turn from green to yellow to blue, while the other two lights on the pole turn from red to green depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c9f404ffde", "question_id": "vqa_c9f404ffde.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the maroon hatchback on the right of the frame cross the stop line, take the right turn, and merge onto the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the maroon hatchback on the right of the frame cross the stop line, take the right turn, and merge onto the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c9f404ffde", "question_id": "vqa_c9f404ffde.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the timeframe during which the yellow ambulance enters from the bottom, turns to its left through the intersection and collides with the maroon SUV depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the timeframe during which the yellow ambulance enters from the bottom, turns to its left through the intersection and collides with the maroon SUV depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c9f404ffde", "question_id": "vqa_c9f404ffde.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time duration in which the yellow SUV enters from the right of the frame, crosses the intersection, and exits from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time duration in which the yellow SUV enters from the right of the frame, crosses the intersection, and exits from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_c9f404ffde", "question_id": "vqa_c9f404ffde.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "In what timeframe does the blue SUV on the third oncoming lane cross the stop line, turn to its left without using a turn signal, and cross the intersection to exit the frame from the right happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "In what timeframe does the blue SUV on the third oncoming lane cross the stop line, turn to its left without using a turn signal, and cross the intersection to exit the frame from the right happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_6e6adc097c", "question_id": "temporal_6e6adc097c.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When do the sedan, a yellow hatchback, and a green SUV enter the frame one after the other from the left and exit on the right depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the sedan, a yellow hatchback, and a green SUV enter the frame one after the other from the left and exit on the right depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_6e6adc097c", "question_id": "temporal_6e6adc097c.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the two vehicles, a green coupe and a yellow ambulance, enter the frame from the top, continue along the first and second oncoming lanes respectively, and exit on the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the two vehicles, a green coupe and a yellow ambulance, enter the frame from the top, continue along the first and second oncoming lanes respectively, and exit on the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_6e6adc097c", "question_id": "temporal_6e6adc097c.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does an SUV enter the frame from the top in the second oncoming lane and approach the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does an SUV enter the frame from the top in the second oncoming lane and approach the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_6e6adc097c", "question_id": "temporal_6e6adc097c.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When a motorcycle and a bicycle enter from the left of the frame, and the motorbike tilts too close, causing the bicycle to abruptly stop briefly before slowly turning left into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When a motorcycle and a bicycle enter from the left of the frame, and the motorbike tilts too close, causing the bicycle to abruptly stop briefly before slowly turning left into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_07e33c4ab1", "question_id": "temporal_07e33c4ab1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what point in time does a black car enter from the right of the frame, turn left without turning its left blinker on, towards the bottom of the frame, and exit depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "At what point in time does a black car enter from the right of the frame, turn left without turning its left blinker on, towards the bottom of the frame, and exit depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_07e33c4ab1", "question_id": "temporal_07e33c4ab1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "Around when do two pickup trucks approach the intersection, with a yellow pickup truck in the fifth lane from the left and a black pickup truck in the sixth lane from the left of the frame behind a black car? happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "Around when do two pickup trucks approach the intersection, with a yellow pickup truck in the fifth lane from the left and a black pickup truck in the sixth lane from the left of the frame behind a black car? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_07e33c4ab1", "question_id": "temporal_07e33c4ab1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a sky-blue SUV in the sixth oncoming lane cross the solid white line wrongly and change lanes midway to the seventh oncoming lane before stopping at the stop line depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a sky-blue SUV in the sixth oncoming lane cross the solid white line wrongly and change lanes midway to the seventh oncoming lane before stopping at the stop line depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_07e33c4ab1", "question_id": "temporal_07e33c4ab1.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black car in the sixth oncoming lane come to a stop before the stop line depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a black car in the sixth oncoming lane come to a stop before the stop line depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_07e33c4ab1", "question_id": "temporal_07e33c4ab1.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When do three vehicles, a yellow van, a black hatchback, and a green pickup truck, out of five vehicles moving in a queue, in the first lane from the left of the frame, exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When do three vehicles, a yellow van, a black hatchback, and a green pickup truck, out of five vehicles moving in a queue, in the first lane from the left of the frame, exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_07e33c4ab1", "question_id": "temporal_07e33c4ab1.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black sedan enter from the right of the frame, turn left with its left blinker on, and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a black sedan enter from the right of the frame, turn left with its left blinker on, and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d20d7265c4", "question_id": "vqa_d20d7265c4.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "In what timeframe do the left-turn traffic lights turn from green to red, while the traffic lights above the ongoing lanes turn from red to green happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "In what timeframe do the left-turn traffic lights turn from green to red, while the traffic lights above the ongoing lanes turn from red to green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d20d7265c4", "question_id": "vqa_d20d7265c4.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a light blue hatchback enter the frame from the bottom, turn to its left without giving a left turn signal, and exit the frame from the left with its red taillights turned on happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a light blue hatchback enter the frame from the bottom, turn to its left without giving a left turn signal, and exit the frame from the left with its red taillights turned on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d20d7265c4", "question_id": "vqa_d20d7265c4.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a dark blue pickup truck on the seventh oncoming left turning lane turn to its left without giving a left turn signal and exit the frame on the bottom right happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a dark blue pickup truck on the seventh oncoming left turning lane turn to its left without giving a left turn signal and exit the frame on the bottom right happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d20d7265c4", "question_id": "vqa_d20d7265c4.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a blue pickup truck on the right turning lane turn left and move onto the second oncoming lane from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a blue pickup truck on the right turning lane turn left and move onto the second oncoming lane from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d20d7265c4", "question_id": "vqa_d20d7265c4.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red fire truck driving on the right turning lane turn to its right without giving a right turn signal, and exit the frame from the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a red fire truck driving on the right turning lane turn to its right without giving a right turn signal, and exit the frame from the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d20d7265c4", "question_id": "vqa_d20d7265c4.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green coupe driving on the second oncoming lane turn right and move to the right turning first oncoming lane, and exit the frame on the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a green coupe driving on the second oncoming lane turn right and move to the right turning first oncoming lane, and exit the frame on the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4e37fc938a", "question_id": "temporal_4e37fc938a.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a red fire truck enter from the right side of the frame and move on the second ongoing lane without a right turning signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a red fire truck enter from the right side of the frame and move on the second ongoing lane without a right turning signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4e37fc938a", "question_id": "temporal_4e37fc938a.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green SUV enter from the right side of the frame and move on the second ongoing lane using a right turning signal depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a green SUV enter from the right side of the frame and move on the second ongoing lane using a right turning signal depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4e37fc938a", "question_id": "temporal_4e37fc938a.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the maroon sports car enter from the left side of the frame, cross the intersection, and exit from the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the maroon sports car enter from the left side of the frame, cross the intersection, and exit from the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4e37fc938a", "question_id": "temporal_4e37fc938a.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the green hatchback driving on the first oncoming lane cross the intersection while using a designated right-turning lane and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the green hatchback driving on the first oncoming lane cross the intersection while using a designated right-turning lane and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_4e37fc938a", "question_id": "temporal_4e37fc938a.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow SUV enter from the left side of the frame and collide with a maroon hatchback and a sports car and exit from the left side of the frame after taking an erratic U-turn happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a yellow SUV enter from the left side of the frame and collide with a maroon hatchback and a sports car and exit from the left side of the frame after taking an erratic U-turn happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_f62a459aee", "question_id": "temporal_f62a459aee.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a white SUV enter from the bottom of the frame, turn left, and exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a white SUV enter from the bottom of the frame, turn left, and exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_f62a459aee", "question_id": "temporal_f62a459aee.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a white sedan move from the bottom of the frame onto the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a white sedan move from the bottom of the frame onto the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_f62a459aee", "question_id": "temporal_f62a459aee.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a white hatchback move from the left side of the frame to the right side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a white hatchback move from the left side of the frame to the right side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_f62a459aee", "question_id": "temporal_f62a459aee.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a speeding white hatchback moving in the third oncoming lane cross the intersection, turn left, and exit from the right side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a speeding white hatchback moving in the third oncoming lane cross the intersection, turn left, and exit from the right side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_f62a459aee", "question_id": "temporal_f62a459aee.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a white hatchback moving in the second oncoming lane change lanes to the third oncoming lane from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 40.0 + "question": "When does a white hatchback moving in the second oncoming lane change lanes to the third oncoming lane from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "In what timeframe does a maroon pickup truck enter the frame from the right, cross the intersection, and exit from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "In what timeframe does a maroon pickup truck enter the frame from the right, cross the intersection, and exit from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the green hatchback enter from the bottom of the frame, turn left with the turn signals on, and cross the intersection to exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the green hatchback enter from the bottom of the frame, turn left with the turn signals on, and cross the intersection to exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "In what timeframe does the black pick-up truck change lanes from the second oncoming lane to the third oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "In what timeframe does the black pick-up truck change lanes from the second oncoming lane to the third oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "In what time period do three vehicles, a red pick up truck, a white SUV, and a blue SUV, on the first oncoming lane momentarily stop near the stop line, and then turn to the right and exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "In what time period do three vehicles, a red pick up truck, a white SUV, and a blue SUV, on the first oncoming lane momentarily stop near the stop line, and then turn to the right and exit from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "In what timeframe does the red emergency vehicle move from the first oncoming lane to the second oncoming lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "In what timeframe does the red emergency vehicle move from the first oncoming lane to the second oncoming lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the white SUV moving on the second oncoming lane turn onto to the first oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the white SUV moving on the second oncoming lane turn onto to the first oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_eb54f7e797", "question_id": "temporal_eb54f7e797.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow SUV driving in the wrong direction on the first ongoing lane cross the intersection and exit from the bottom right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the yellow SUV driving in the wrong direction on the first ongoing lane cross the intersection and exit from the bottom right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_467cb8850e", "question_id": "temporal_467cb8850e.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the yellow bus push the black sedan towards the left after colliding happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the yellow bus push the black sedan towards the left after colliding happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_467cb8850e", "question_id": "temporal_467cb8850e.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time do the black sedan and the yellow bus collide in the intersection? happen in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time do the black sedan and the yellow bus collide in the intersection? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_467cb8850e", "question_id": "temporal_467cb8850e.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow bus begin turning left at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the yellow bus begin turning left at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_467cb8850e", "question_id": "temporal_467cb8850e.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow bus cross the white stop line at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the yellow bus cross the white stop line at the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_467cb8850e", "question_id": "temporal_467cb8850e.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the black sedan in the fifth ongoing lane move out of the white stop line near the intersection? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 15.0 + "question": "At what time does the black sedan in the fifth ongoing lane move out of the white stop line near the intersection? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_de97730386", "question_id": "vqa_de97730386.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During what time frame does a black sedan, followed by a white sedan and a yellow ambulance, moving on the fourth oncoming lane from the left of the frame, cross the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During what time frame does a black sedan, followed by a white sedan and a yellow ambulance, moving on the fourth oncoming lane from the left of the frame, cross the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_de97730386", "question_id": "vqa_de97730386.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the two motorbikes, the first one moving on the second oncoming lane and the second one moving on the fourth oncoming lane from the left of the frame, cross the intersection and exit from the bottom of the frame one after the other depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the two motorbikes, the first one moving on the second oncoming lane and the second one moving on the fourth oncoming lane from the left of the frame, cross the intersection and exit from the bottom of the frame one after the other depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_de97730386", "question_id": "vqa_de97730386.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a motorbike entering from the right of the frame take its left turn and cross the intersection without turning on its left turn signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a motorbike entering from the right of the frame take its left turn and cross the intersection without turning on its left turn signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a motorbike enter from the right of the frame and move along the ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a motorbike enter from the right of the frame and move along the ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a red sedan enter from the bottom left of the frame, take a left turn with its left turn signal blinking, and exit from the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a red sedan enter from the bottom left of the frame, take a left turn with its left turn signal blinking, and exit from the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two black coupes enter from the right of the frame and join the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do two black coupes enter from the right of the frame and join the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a gray hatchback in the second oncoming lane come to a stop before the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a gray hatchback in the second oncoming lane come to a stop before the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow sedan in the first oncoming lane take a right turn without turning on its right turn signal and exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow sedan in the first oncoming lane take a right turn without turning on its right turn signal and exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "OCR problems", - "question": "When does a bicycle in the first oncoming lane cross the right turn arrow happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a bicycle in the first oncoming lane cross the right turn arrow happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_ada1e4f937", "question_id": "temporal_ada1e4f937.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a black SUV in the first oncoming lane take a right turn without turning on its right turn signal and exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black SUV in the first oncoming lane take a right turn without turning on its right turn signal and exit from the left of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_38f6da6c70", "question_id": "vqa_38f6da6c70.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does a green sedan enter the frame from the right, cross the intersection, and exit the frame to the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time does a green sedan enter the frame from the right, cross the intersection, and exit the frame to the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_38f6da6c70", "question_id": "vqa_38f6da6c70.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time does a green sports car and a red pickup truck enter the frame from the left, cross the intersection, and exit the frame to the right happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time does a green sports car and a red pickup truck enter the frame from the left, cross the intersection, and exit the frame to the right happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_38f6da6c70", "question_id": "vqa_38f6da6c70.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does a white SUV enter the frame from the right, turn slightly to the right, and continue driving on the last ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time does a white SUV enter the frame from the right, turn slightly to the right, and continue driving on the last ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_38f6da6c70", "question_id": "vqa_38f6da6c70.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time duration do a red hatchback in the first oncoming lane, a gray SUV in the second oncoming lane, and a yellow sedan in the third oncoming lane drive toward the signal and stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time duration do a red hatchback in the first oncoming lane, a gray SUV in the second oncoming lane, and a yellow sedan in the third oncoming lane drive toward the signal and stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_38f6da6c70", "question_id": "vqa_38f6da6c70.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does an individual wearing a vest and shorts, jogging near the street, exit the frame towards the right depicted in the video? Answer the question only using start and end timestamps.", - "duration": 20.0 + "question": "At what time does an individual wearing a vest and shorts, jogging near the street, exit the frame towards the right depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b29e07d3e2", "question_id": "temporal_b29e07d3e2.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the white hatchback enter from the bottom of the frame and take a left turn at the intersection to exit from the left of the frame while the left turn signal is red happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the white hatchback enter from the bottom of the frame and take a left turn at the intersection to exit from the left of the frame while the left turn signal is red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b29e07d3e2", "question_id": "temporal_b29e07d3e2.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the yellow compact SUV enter from the right of the frame and make a right U-turn at the intersection to exit from the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the yellow compact SUV enter from the right of the frame and make a right U-turn at the intersection to exit from the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b29e07d3e2", "question_id": "temporal_b29e07d3e2.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Causality", - "question": "At what point does the cyan SUV, entering the intersection from the left of the frame, slow down while the yellow compact SUV entering from the right of the frame takes a right U-turn, and then proceed to join the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what point does the cyan SUV, entering the intersection from the left of the frame, slow down while the yellow compact SUV entering from the right of the frame takes a right U-turn, and then proceed to join the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b29e07d3e2", "question_id": "temporal_b29e07d3e2.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the maroon coupe enter from the right of the frame and cross the stop line to move into the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what time does the maroon coupe enter from the right of the frame and cross the stop line to move into the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b29e07d3e2", "question_id": "temporal_b29e07d3e2.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the green SUV, coming from the top in the oncoming lane, come to a stop at the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does the green SUV, coming from the top in the oncoming lane, come to a stop at the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_b29e07d3e2", "question_id": "temporal_b29e07d3e2.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what point does the left turn signal turn red while the signal above the ongoing lane switches to green depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "At what point does the left turn signal turn red while the signal above the ongoing lane switches to green depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "During which period do a gray car and a red hatchback enter from the left side of the frame, take a left turn, and move on the first and second ongoing lanes, respectively depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "During which period do a gray car and a red hatchback enter from the left side of the frame, take a left turn, and move on the first and second ongoing lanes, respectively depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green sports enter from the right side of the frame, cross the intersection, and exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a green sports enter from the right side of the frame, cross the intersection, and exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a light green sports car change its lane from the first oncoming turning lane from left to the second oncoming lane by crossing the white line happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a light green sports car change its lane from the first oncoming turning lane from left to the second oncoming lane by crossing the white line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the green pickup truck on the second oncoming lane approach and then stop at the intersection line depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the green pickup truck on the second oncoming lane approach and then stop at the intersection line depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black pickup truck on the first oncoming turning lane from the left take a right turn and move towards the right of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a black pickup truck on the first oncoming turning lane from the left take a right turn and move towards the right of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a dark green sports car on the first oncoming turning lane from the left take a right turn and exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a dark green sports car on the first oncoming turning lane from the left take a right turn and exit from the left side of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_c02c04bc44", "question_id": "temporal_c02c04bc44.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green pickup truck change its lane from the first oncoming turning lane from left to the second oncoming lane by crossing the white line happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a green pickup truck change its lane from the first oncoming turning lane from left to the second oncoming lane by crossing the white line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d034bb5d61", "question_id": "vqa_d034bb5d61.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what duration does a black coupe enter from the right of the frame, cross the intersection at the red pedestrian signal, and exit from the bottom left corner of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what duration does a black coupe enter from the right of the frame, cross the intersection at the red pedestrian signal, and exit from the bottom left corner of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_d034bb5d61", "question_id": "vqa_d034bb5d61.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the white SUV enter from the bottom right of the frame, turn left, and exit from the left of the frame while flashing its right blinker depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the white SUV enter from the bottom right of the frame, turn left, and exit from the left of the frame while flashing its right blinker depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when the bicycle on the second oncoming lane starts moving straight happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when the bicycle on the second oncoming lane starts moving straight happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when the orange bike on the third oncoming lane starts moving and takes a left turn to move to the bottom right of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when the orange bike on the third oncoming lane starts moving and takes a left turn to move to the bottom right of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time period do two cyclists riding bicycles on the second oncoming lane approach and stop at the intersection behind the bicycle happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period do two cyclists riding bicycles on the second oncoming lane approach and stop at the intersection behind the bicycle happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "During which time period do three vehicles on the third oncoming lane approach and stop at the intersection behind the bike and bicycle, with a green SUV in front, a yellow SUV in the middle, and a black sedan in the back happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period do three vehicles on the third oncoming lane approach and stop at the intersection behind the bike and bicycle, with a green SUV in front, a yellow SUV in the middle, and a black sedan in the back happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the time frame when a blue hatchback enters from the right of the frame and takes a right turn to go on the first ongoing lane with the hazard lights on happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a blue hatchback enters from the right of the frame and takes a right turn to go on the first ongoing lane with the hazard lights on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when a green sports car enters from the right of the frame and takes a right turn to go on the first ongoing lane with right turn blinkers on happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a green sports car enters from the right of the frame and takes a right turn to go on the first ongoing lane with right turn blinkers on happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time period when a bicycle enters from the right of the frame, crosses the intersection, and exits from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time period when a bicycle enters from the right of the frame, crosses the intersection, and exits from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "During which time period does an orange bike enter from the bottom right of the frame and cross the intersection slowly to give way for the blue hatchback, and go on to the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period does an orange bike enter from the bottom right of the frame and cross the intersection slowly to give way for the blue hatchback, and go on to the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the time frame when a bicycle enters from the right of the frame and goes on the first ongoing lane when a bicycle lane is next to the lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a bicycle enters from the right of the frame and goes on the first ongoing lane when a bicycle lane is next to the lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when an orange bike enters from the bottom of the frame and takes a left turn to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when an orange bike enters from the bottom of the frame and takes a left turn to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "What is the time frame when an orange bike enters from the bottom of the frame and crosses the intersection to go on the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when an orange bike enters from the bottom of the frame and crosses the intersection to go on the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_11", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time when a bicycle on the first oncoming lane approaches the intersection and takes a right turn to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time when a bicycle on the first oncoming lane approaches the intersection and takes a right turn to exit from the left of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_12", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time period does an orange bike on the third oncoming lane approach and stop at the intersection, beside the bicycle depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "During which time period does an orange bike on the third oncoming lane approach and stop at the intersection, beside the bicycle depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_13", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "What is the time frame when a person riding a bicycle on the third oncoming lane approaches and stops at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "What is the time frame when a person riding a bicycle on the third oncoming lane approaches and stops at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_d9694e6e30", "question_id": "temporal_d9694e6e30.mp4_14", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the person riding a bicycle on the second oncoming lane approach and stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the person riding a bicycle on the second oncoming lane approach and stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "What is the time frame during which a red SUV crosses the ongoing lanes, turns towards the left, and then drives on the oncoming lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "What is the time frame during which a red SUV crosses the ongoing lanes, turns towards the left, and then drives on the oncoming lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the traffic signal for the ongoing lanes turn yellow from green happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the traffic signal for the ongoing lanes turn yellow from green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "When does the traffic signal with the arrow direction towards the left side of the frame turn red from green depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does the traffic signal with the arrow direction towards the left side of the frame turn red from green depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a red truck enter from the right side of the frame, take a right turn, and drive ahead in the ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a red truck enter from the right side of the frame, take a right turn, and drive ahead in the ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black car enter from the right side of the frame, take a right turn, and drive ahead in the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a black car enter from the right side of the frame, take a right turn, and drive ahead in the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a blue SUV enter from the right of the frame and stop at the intersection line depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a blue SUV enter from the right of the frame and stop at the intersection line depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a partially visible yellow truck enter from the right of the frame and stop at the intersection line happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a partially visible yellow truck enter from the right of the frame and stop at the intersection line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sports car on the second oncoming lane cross the intersection and exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a yellow sports car on the second oncoming lane cross the intersection and exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a gray car on the second oncoming lane cross the intersection and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a gray car on the second oncoming lane cross the intersection and exit from the bottom of the frame depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black car enter from the bottom of the frame and cross the intersection to move on the second ongoing lane towards the top of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a black car enter from the bottom of the frame and cross the intersection to move on the second ongoing lane towards the top of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_681e298c98", "question_id": "vqa_681e298c98.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green car enter from the bottom of the frame, cross the intersection, and take a left turn to exit from the left of the frame while the traffic signal on that lane is red depicted in the video? Answer the question only using start and end timestamps.", - "duration": 31.6667 + "question": "When does a green car enter from the bottom of the frame, cross the intersection, and take a left turn to exit from the left of the frame while the traffic signal on that lane is red depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a yellow sports car, driving from the right side of the frame, make a left turn at the intersection towards the bottom of the frame while indicating a right turn happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a yellow sports car, driving from the right side of the frame, make a left turn at the intersection towards the bottom of the frame while indicating a right turn happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a yellow hatchback, driving from the left side of the frame, make a speedy U-turn at the intersection and exit through the same side happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a yellow hatchback, driving from the left side of the frame, make a speedy U-turn at the intersection and exit through the same side happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a white pickup truck on the right side of the frame make a left turn at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a white pickup truck on the right side of the frame make a left turn at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a green pickup truck, driving in the second ongoing lane, make a right turn onto the road extending from the right side of the ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does a green pickup truck, driving in the second ongoing lane, make a right turn onto the road extending from the right side of the ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "During which time period does a fire truck cross the intersection from the right side of the frame to the left happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "During which time period does a fire truck cross the intersection from the right side of the frame to the left happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does an emergency vehicle use the designated right-turning first oncoming lane to drive straight through the intersection towards the bottom of the frame, resulting in a lane violation happen in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When does an emergency vehicle use the designated right-turning first oncoming lane to drive straight through the intersection towards the bottom of the frame, resulting in a lane violation happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "During which time period does a gray SUV, driving from the right side of the frame, use the designated right-turning lane to enter the second ongoing lane without waiting near the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "During which time period does a gray SUV, driving from the right side of the frame, use the designated right-turning lane to enter the second ongoing lane without waiting near the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_1ae3e6f1e0", "question_id": "vqa_1ae3e6f1e0.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do two vehicles, a white sedan followed by an ambulance, driving in the second oncoming lane, shift to the first lane after indicating the turn depicted in the video? Answer the question only using start and end timestamps.", - "duration": 50.0 + "question": "When do two vehicles, a white sedan followed by an ambulance, driving in the second oncoming lane, shift to the first lane after indicating the turn depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a24d0ecd5f", "question_id": "temporal_a24d0ecd5f.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "At what point does the left turn signal turn red while the signal above the ongoing lane switches to green happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what point does the left turn signal turn red while the signal above the ongoing lane switches to green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a24d0ecd5f", "question_id": "temporal_a24d0ecd5f.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the gray SUV coming from the top in the oncoming third lane stop behind the green sports car that is already stopped at the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the gray SUV coming from the top in the oncoming third lane stop behind the green sports car that is already stopped at the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a24d0ecd5f", "question_id": "temporal_a24d0ecd5f.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the maroon SUV enter from the right side of the frame, pass by the traffic island, and join the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the maroon SUV enter from the right side of the frame, pass by the traffic island, and join the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a24d0ecd5f", "question_id": "temporal_a24d0ecd5f.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the gray sedan, gray SUV, and the ambulance enter from the right of the frame and stop at the stop line depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the gray sedan, gray SUV, and the ambulance enter from the right of the frame and stop at the stop line depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a24d0ecd5f", "question_id": "temporal_a24d0ecd5f.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the green sports car, coming from the top in the third oncoming lane, approach the stop line happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the green sports car, coming from the top in the third oncoming lane, approach the stop line happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_a24d0ecd5f", "question_id": "temporal_a24d0ecd5f.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the red sedan coming from the top in the third oncoming lane cross the intersection and turn left to exit from the right of the frame without using a left turn indicator depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the red sedan coming from the top in the third oncoming lane cross the intersection and turn left to exit from the right of the frame without using a left turn indicator depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_bde62806a7", "question_id": "temporal_bde62806a7.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a bicycle come from the bottom left of the frame and enter the second ongoing lane while traffic is moving from left to right happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a bicycle come from the bottom left of the frame and enter the second ongoing lane while traffic is moving from left to right happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_bde62806a7", "question_id": "temporal_bde62806a7.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a bicycle come from the bottom left of the frame and enter the second ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a bicycle come from the bottom left of the frame and enter the second ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_bde62806a7", "question_id": "temporal_bde62806a7.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a greenish-blue pickup truck enter the frame from the right side and accelerate forward, crossing the intersection and exiting from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a greenish-blue pickup truck enter the frame from the right side and accelerate forward, crossing the intersection and exiting from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_bde62806a7", "question_id": "temporal_bde62806a7.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When do a person riding an orange motorcycle and a person in a light blue T-shirt riding a scooter travel forward alongsideeach other, coming from the right side of the frame and exiting from the left side of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do a person riding an orange motorcycle and a person in a light blue T-shirt riding a scooter travel forward alongsideeach other, coming from the right side of the frame and exiting from the left side of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_bde62806a7", "question_id": "temporal_bde62806a7.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a person in a light blue T-shirt riding a scooter traveling in the third oncoming lane approach the intersection and stop? depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a person in a light blue T-shirt riding a scooter traveling in the third oncoming lane approach the intersection and stop? depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_bde62806a7", "question_id": "temporal_bde62806a7.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does an orange motorcycle make a right turn from the first oncoming right-turn lane and then abruptly stall, coming to a stop before exiting the frame on the left side depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does an orange motorcycle make a right turn from the first oncoming right-turn lane and then abruptly stall, coming to a stop before exiting the frame on the left side depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the white coupe, traveling in the first oncoming turning lane, continue straight and exit from the bottom of the frame instead of turning or using a designated straight lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the white coupe, traveling in the first oncoming turning lane, continue straight and exit from the bottom of the frame instead of turning or using a designated straight lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "When does a yellow emergency truck in the second oncoming lane, followed by a blue sedan in the second oncoming lane cross the intersection and exit to the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow emergency truck in the second oncoming lane, followed by a blue sedan in the second oncoming lane cross the intersection and exit to the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Attribute perception", - "question": "When does a yellow emergency truck driving in the second oncoming lane approach and stop at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a yellow emergency truck driving in the second oncoming lane approach and stop at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "At what time do three vehicles\u2014a gray car followed by a red sedan and a green car in the third oncoming lane approach and stop at the intersection one after the other?\n\n depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time do three vehicles—a gray car followed by a red sedan and a green car in the third oncoming lane approach and stop at the intersection one after the other?\n\n depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a gray SUV driving in the third oncoming lane cross the intersection, take a left turn and exit to the right side of the frame with its left turn signal on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a gray SUV driving in the third oncoming lane cross the intersection, take a left turn and exit to the right side of the frame with its left turn signal on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do three vehicles\u2014a yellow hatchback in the first oncoming lane, a maroon sports car in the second oncoming lane and a green pickup truck in the third oncoming lane on the right side of the frame approach and stop at the intersection depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do three vehicles—a yellow hatchback in the first oncoming lane, a maroon sports car in the second oncoming lane and a green pickup truck in the third oncoming lane on the right side of the frame approach and stop at the intersection depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_6", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the yellow emergency truck slow down at the stop line in the turning lane at the right side and then proceed to merge into the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the yellow emergency truck slow down at the stop line in the turning lane at the right side and then proceed to merge into the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_7", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Attribute perception", - "question": "When does a maroon sedan entering from the right side of the frame take a right turn at the turning lane to join the second ongoing lane with its right turn signal on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a maroon sedan entering from the right side of the frame take a right turn at the turning lane to join the second ongoing lane with its right turn signal on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_8", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does a white SUV entering from the right side of the frame take a right turn at the turning lane to join the second ongoing lane happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a white SUV entering from the right side of the frame take a right turn at the turning lane to join the second ongoing lane happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_9", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the gray SUV enter from the bottom of the frame, cross the intersection, and move into the second ongoing lane while decelerating and flashing its taillights depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "At what time does the gray SUV enter from the bottom of the frame, cross the intersection, and move into the second ongoing lane while decelerating and flashing its taillights depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_1a8f08214f", "question_id": "temporal_1a8f08214f.mp4_10", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does a black pickup truck enter from the bottom of the frame, take a left turn at the intersection and exit to the left side of the frame with its left turn signal turned on depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a black pickup truck enter from the bottom of the frame, take a left turn at the intersection and exit to the left side of the frame with its left turn signal turned on depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e66c37334c", "question_id": "vqa_e66c37334c.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does a green SUV enter the frame from the left, cross the intersection and exit from the right depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does a green SUV enter the frame from the left, cross the intersection and exit from the right depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e66c37334c", "question_id": "vqa_e66c37334c.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Spatial perception", - "question": "At what time does the yellow sedan in the first oncoming lane cross the crosswalk to exit the frame from the bottom left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does the yellow sedan in the first oncoming lane cross the crosswalk to exit the frame from the bottom left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e66c37334c", "question_id": "vqa_e66c37334c.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the two cars, the green SUV and black SUV, moving in the first ongoing lane, one after the other, come to a stop at the intersection happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do the two cars, the green SUV and black SUV, moving in the first ongoing lane, one after the other, come to a stop at the intersection happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_e66c37334c", "question_id": "vqa_e66c37334c.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the gray pickup truck enter from the bottom of the frame and merge onto the second ongoing lane, violating the red traffic signal happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does the gray pickup truck enter from the bottom of the frame and merge onto the second ongoing lane, violating the red traffic signal happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_08087a7fc6", "question_id": "vqa_08087a7fc6.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Scene Perception", - "question": "During what time does the overhead signal turn from green to yellow to red happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "During what time does the overhead signal turn from green to yellow to red happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_08087a7fc6", "question_id": "vqa_08087a7fc6.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "At what time does the red ambulance enter from the right frame, take a left turn, and exit from the bottom left frame while blinking the left indicator depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does the red ambulance enter from the right frame, take a left turn, and exit from the bottom left frame while blinking the left indicator depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_08087a7fc6", "question_id": "vqa_08087a7fc6.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "At what time does the white hatchback enter from the bottom of the frame, take a left turn, and exit from the left side of the frame while signaling the left indicator depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does the white hatchback enter from the bottom of the frame, take a left turn, and exit from the left side of the frame while signaling the left indicator depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_08087a7fc6", "question_id": "vqa_08087a7fc6.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "At what time does the green coupe enter from the bottom of the frame, take a left turn, and exit from the left frame while not giving a left indicator happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "At what time does the green coupe enter from the bottom of the frame, take a left turn, and exit from the left frame while not giving a left indicator happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_08087a7fc6", "question_id": "vqa_08087a7fc6.mp4_4", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the two vehicles, a black SUV and a black pickup truck, enter from the bottom left of the frame, cross the intersection and exit from the bottom right frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do the two vehicles, a black SUV and a black pickup truck, enter from the bottom left of the frame, cross the intersection and exit from the bottom right frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_08087a7fc6", "question_id": "vqa_08087a7fc6.mp4_5", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the two vehicles, a green coupe and a blue sedan, enter from the first lane on the set of lanes on the right side of the frame, cross the intersection and exit from the left side happen in the video? Answer the question only using start and end timestamps.", - "duration": 60.0 + "question": "When do the two vehicles, a green coupe and a blue sedan, enter from the first lane on the set of lanes on the right side of the frame, cross the intersection and exit from the left side happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6b8914a7b1", "question_id": "vqa_6b8914a7b1.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a white coupe enter from the bottom right of the frame, turn right, and move into the second ongoing lane without activating its right blinker happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a white coupe enter from the bottom right of the frame, turn right, and move into the second ongoing lane without activating its right blinker happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6b8914a7b1", "question_id": "vqa_6b8914a7b1.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does a green sports car move slowly in the first oncoming lane at dawn and then stop at the bottom left of the frame without its headlights on? happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does a green sports car move slowly in the first oncoming lane at dawn and then stop at the bottom left of the frame without its headlights on? happen in the video? Answer the question only using start and end timestamps." }, { "vid": "vqa_6b8914a7b1", "question_id": "vqa_6b8914a7b1.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Object Recognition", - "question": "When does the red fire truck enter from the bottom right of the frame, turn right, and proceed into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the red fire truck enter from the bottom right of the frame, turn right, and proceed into the first ongoing lane depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_50f6455dba", "question_id": "temporal_50f6455dba.mp4_0", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Attribute perception", - "question": "When does the black hatchback with no lights enter the frame from the bottom right and cross the intersection onto the second ongoing lane from the left depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the black hatchback with no lights enter the frame from the bottom right and cross the intersection onto the second ongoing lane from the left depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_50f6455dba", "question_id": "temporal_50f6455dba.mp4_1", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Anomaly Detection", - "question": "When does the coupe on the first oncoming lane from the left cross the stop line, turn to its right, and exit the frame, even when the pedestrian signal on the left of the frame is green happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the coupe on the first oncoming lane from the left cross the stop line, turn to its right, and exit the frame, even when the pedestrian signal on the left of the frame is green happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_50f6455dba", "question_id": "temporal_50f6455dba.mp4_2", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Counting Problems", - "question": "When do the SUV and the motorcycle, standing next to each other in the first and second oncoming lanes from the left, respectively, start moving and exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When do the SUV and the motorcycle, standing next to each other in the first and second oncoming lanes from the left, respectively, start moving and exit from the bottom of the frame happen in the video? Answer the question only using start and end timestamps." }, { "vid": "temporal_50f6455dba", "question_id": "temporal_50f6455dba.mp4_3", - "industry": "Transportation_sim", - "event_type": "Other", - "task_type": "Action Recognition", - "question": "When does the bicycle enter the frame from the right and exit from the left? happen in the video? Answer the question only using start and end timestamps.", - "duration": 33.3333 + "question": "When does the bicycle enter the frame from the right and exit from the left? happen in the video? Answer the question only using start and end timestamps." } ] diff --git a/data/temporal_localization/data_jsons/annotations/smart_spaces_03262025.json b/data/temporal_localization/data_jsons/annotations/smart_spaces_03262025.json index 474f96360db1db8de472b052ba27c0929f9fb1eb..bd13b70d5552f956d21b0ee8ea1dae5da943860f 100644 --- a/data/temporal_localization/data_jsons/annotations/smart_spaces_03262025.json +++ b/data/temporal_localization/data_jsons/annotations/smart_spaces_03262025.json @@ -2,3574 +2,1986 @@ { "vid": "GX010070_Clip_4", "question_id": "GX010070_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black shirt, followed by three individuals, pass through an opened turnstile gate without scanning a card, and walk forward before standing together.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 22.1888 + "question": "When does \"A man in a black shirt, followed by three individuals, pass through an opened turnstile gate without scanning a card, and walk forward before standing together.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_4", "question_id": "GX010070_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweatshirt stands in front of a closed turnstile gate, passes through it without scanning a card, walks forward, turns around, and stops.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 22.1888 + "question": "When is \"A man in a white sweatshirt stands in front of a closed turnstile gate, passes through it without scanning a card, walks forward, turns around, and stops.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A woman in a black outfit walking near the man in a white sweatshirt walks towards a passage and enters it, closely following the man in a blue jacket.\" take place? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "At what time in the video does \"A woman in a black outfit walking near the man in a white sweatshirt walks towards a passage and enters it, closely following the man in a blue jacket.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white sweatshirt walks into the scene and gestures to a man in a black t-shirt to walk away as both walk out of the frame.\" happen? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "At what point in the video does \"A man in a white sweatshirt walks into the scene and gestures to a man in a black t-shirt to walk away as both walk out of the frame.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white sweatshirt steps into the frame between two tripod stands, takes a few steps towards his right, turns his head back, and eventually walks inside a passage forward.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "At what point in the video does \"A man in a white sweatshirt steps into the frame between two tripod stands, takes a few steps towards his right, turns his head back, and eventually walks inside a passage forward.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Three men are entering a passage, where the man leading the sequence enters the frame from the left of the tripod stand in the foreground while the other two walk through the middle of the two stands.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "At what time in the video does \"Three men are entering a passage, where the man leading the sequence enters the frame from the left of the tripod stand in the foreground while the other two walk through the middle of the two stands.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man holding a cup is entering through a passage.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "When does \"A man holding a cup is entering through a passage.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a backpack is entering through a passage.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "When does \"A man wearing a backpack is entering through a passage.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Two men are entering a passage in a sequence.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "When is \"Two men are entering a passage in a sequence.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Three men are walking inside a passage as the man leading the sequence gestures a man in a black t-shirt towards his left and he stops walking ahead.\" take place? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "At what time in the video does \"Three men are walking inside a passage as the man leading the sequence gestures a man in a black t-shirt towards his left and he stops walking ahead.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_3", "question_id": "GX010013_Clip_3_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A person pushing a trolley opens a door and enters a room, pulling the trolley inside with her.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "When is \"A person pushing a trolley opens a door and enters a room, pulling the trolley inside with her.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070", "question_id": "GX010070_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit and a woman in a blue sweatshirt walk through the turnstile gate nearest to the brown wall that opens without tapping key cards and the gate closes behind them.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 17.6176 + "question": "When does \"A man in a black outfit and a woman in a blue sweatshirt walk through the turnstile gate nearest to the brown wall that opens without tapping key cards and the gate closes behind them.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010070", "question_id": "GX010070_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black collared t-shirt walks through the turnstile gate nearest to the railing without scanning a card after another man from the opposite side of the gate taps a card on the scanner and lets him pass.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "When does \"A man in a black collared t-shirt walks through the turnstile gate nearest to the railing without scanning a card after another man from the opposite side of the gate taps a card on the scanner and lets him pass.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070", "question_id": "GX010070_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying a backpack taps a key card on a scanner of the turnstile gate closest to the railings as the panels open, steps back towards his left, and lets another man pass from the opposite direction before crossing the gate himself.\" take place? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "At what time in the video does \"A man carrying a backpack taps a key card on a scanner of the turnstile gate closest to the railings as the panels open, steps back towards his left, and lets another man pass from the opposite direction before crossing the gate himself.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010070", "question_id": "GX010070_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in blue jeans jacket attire walks past the turnstile gate in the middle without tapping a key card as the gate closes behind him.\" take place? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "At what time in the video does \"A man in blue jeans jacket attire walks past the turnstile gate in the middle without tapping a key card as the gate closes behind him.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010070", "question_id": "GX010070_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a green T-shirt walks through a turnstile gate in the middle without tapping a key card on the gate as it closes after he passes through.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 17.6176 + "question": "When does \"A man in a green T-shirt walks through a turnstile gate in the middle without tapping a key card on the gate as it closes after he passes through.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_5", "question_id": "GX010013_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man wearing a brown T-shirt is walking forward and exiting the frame.\" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"The man wearing a brown T-shirt is walking forward and exiting the frame.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_5", "question_id": "GX010013_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a black outfit is jumping over an automated access gate and walking to the center of the hallway.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "When is \"A man wearing a black outfit is jumping over an automated access gate and walking to the center of the hallway.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_5", "question_id": "GX010013_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a white T-shirt is walking across the floor and exiting the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 18.0514 + "question": "When is \"A man wearing a white T-shirt is walking across the floor and exiting the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_5", "question_id": "GX010013_Clip_5_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a brown T-shirt is jumping over an automated access gate and walking to the center of the hallway.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When does \"A man wearing a brown T-shirt is jumping over an automated access gate and walking to the center of the hallway.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_5", "question_id": "GX010013_Clip_5_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Three men are moving to the side of a hallway and exiting the frame.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When is \"Three men are moving to the side of a hallway and exiting the frame.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_5", "question_id": "GX010031_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a brown shirt moves and stands beside a tripod.\" happen? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what point in the video does \"A man in a brown shirt moves and stands beside a tripod.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_5", "question_id": "GX010031_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white shirt holds a tripod beside him and then looks up and front.\" happen? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what point in the video does \"A man in a white shirt holds a tripod beside him and then looks up and front.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_5", "question_id": "GX010031_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man comes running and stands beside a man in a white shirt.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When is \"A man comes running and stands beside a man in a white shirt.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_5", "question_id": "GX010031_Clip_5_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man walks forward and stands beside a tripod.\" take place? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man walks forward and stands beside a tripod.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_5", "question_id": "GX010031_Clip_5_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man comes running, turns around, and stands in the center of the room.\" happen? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what point in the video does \"A man comes running, turns around, and stands in the center of the room.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_5", "question_id": "GX010031_Clip_5_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Three people are stepping and moving backward.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When does \"Three people are stepping and moving backward.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_2", "question_id": "GX010013_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person wearing a backpack runs into the frame and joins the group of people running.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 23.0564 + "question": "At what point in the video does \"A person wearing a backpack runs into the frame and joins the group of people running.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_2", "question_id": "GX010013_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A group of men and a woman start running towards the other end of the lobby and turn towards the right of the wall.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 23.0564 + "question": "When does \"A group of men and a woman start running towards the other end of the lobby and turn towards the right of the wall.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_3", "question_id": "GX010011_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Three men can be seen entering a room without tapping their cards in a sequence.\" take place? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "At what time in the video does \"Three men can be seen entering a room without tapping their cards in a sequence.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_3", "question_id": "GX010011_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a black shirt is seen entering a room without tapping his card on the card reader.\" take place? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "At what time in the video does \"A man wearing a black shirt is seen entering a room without tapping his card on the card reader.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_3", "question_id": "GX010011_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A person wearing a green T-shirt and a sling bag taps a card on a black card reader, opens the door, and enters the room.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "When does \"A person wearing a green T-shirt and a sling bag taps a card on a black card reader, opens the door, and enters the room.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_3", "question_id": "GX010011_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a green T-shirt walks down a narrow hallway.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what time in the video does \"A man in a green T-shirt walks down a narrow hallway.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a denim jacket exits a door, closes it, and walks out of the frame.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man wearing a denim jacket exits a door, closes it, and walks out of the frame.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a brown sweater, holding white sheets, exits a door and walks away.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in a brown sweater, holding white sheets, exits a door and walks away.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white sweater, holding a silver object, moves out of a door and walks away.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in a white sweater, holding a silver object, moves out of a door and walks away.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man, walks in a corridor and enters an open door.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "At what time in the video does \"A man, walks in a corridor and enters an open door.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black outfit, holding a black object, opens a door, walks away, and exits the frame.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A man in a black outfit, holding a black object, opens a door, walks away, and exits the frame.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a black outfit holding a black object comes out from a door, walks, and exits through another door.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in a black outfit holding a black object comes out from a door, walks, and exits through another door.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_10", "question_id": "GX010029_Clip_10_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater exits a door and walks while holding a black object.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man in a white sweater exits a door and walks while holding a black object.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_6", "question_id": "GX010011_Clip_6_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man opens a door, walks out as the door closes behind him, and continues walking through the corridor.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "When does \"A man opens a door, walks out as the door closes behind him, and continues walking through the corridor.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_6", "question_id": "GX010011_Clip_6_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A person in a denim jacket walks through the corridor and turns left at the end.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "When does \"A person in a denim jacket walks through the corridor and turns left at the end.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_6", "question_id": "GX010011_Clip_6_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person in black attire walks through the corridor and turns left at the end.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what point in the video does \"A person in black attire walks through the corridor and turns left at the end.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_6", "question_id": "GX010011_Clip_6_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white T-shirt walks into the room without tapping a card on the door access card reader.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "When does \"A man in a white T-shirt walks into the room without tapping a card on the door access card reader.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_6", "question_id": "GX010011_Clip_6_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing black attire and glasses walks through the corridor and tailgates into the room without tapping a card on the door access card reader.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "When is \"A man wearing black attire and glasses walks through the corridor and tailgates into the room without tapping a card on the door access card reader.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_6", "question_id": "GX010011_Clip_6_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in an orange T-shirt walks through the corridor, takes a card attached to his pants, taps it on the door access card reader next to the door, and enters the room.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 35.0684 + "question": "When is \"A man in an orange T-shirt walks through the corridor, takes a card attached to his pants, taps it on the door access card reader next to the door, and enters the room.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_8", "question_id": "GX010069_Clip_8_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white shirt is closing a door after a man in a black jacket walks out of the door into the hallway.\" happen? Answer the question only using start and end timestamps.", - "duration": 85.1184 + "question": "At what point in the video does \"A man in a white shirt is closing a door after a man in a black jacket walks out of the door into the hallway.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_8", "question_id": "GX010069_Clip_8_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing spectacles walks out of a door that opens, followed by another man who stands at the threshold of the door.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 85.1184 + "question": "When does \"A man wearing spectacles walks out of a door that opens, followed by another man who stands at the threshold of the door.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_8", "question_id": "GX010069_Clip_8_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white shirt and a man in a black outfit are knocking on a door.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 85.1184 + "question": "When is \"A man in a white shirt and a man in a black outfit are knocking on a door.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A woman climbs down a flight of stairs while holding cups in their hand and then exits the frame while walking.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.2458 + "question": "At what point in the video does \"A woman climbs down a flight of stairs while holding cups in their hand and then exits the frame while walking.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a green T-shirt runs and walks past the open gate without scanning a card and joins the man in white, and they both walk out to the other side.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "When does \"A man in a green T-shirt runs and walks past the open gate without scanning a card and joins the man in white, and they both walk out to the other side.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a black outfit walks down a flight of stairs and exits the frame while walking forward.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "At what point in the video does \"A man in a black outfit walks down a flight of stairs and exits the frame while walking forward.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person walks up a flight of stairs and exits the frame while walking.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "At what point in the video does \"A person walks up a flight of stairs and exits the frame while walking.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A woman wearing a blue top scans a key card at a turnstile gate, which opens, and three people follow her to the other side of the gate without scanning their cards.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "At what point in the video does \"A woman wearing a blue top scans a key card at a turnstile gate, which opens, and three people follow her to the other side of the gate without scanning their cards.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying a bagpack walks down a flight of stairs and exits the frame while turning towards his left and walking.\" take place? Answer the question only using start and end timestamps.", - "duration": 79.2458 + "question": "At what time in the video does \"A man carrying a bagpack walks down a flight of stairs and exits the frame while turning towards his left and walking.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a blue jacket scans a key card at a turnstile gate, which opens, and two more men follow him to the other side of the gate without scanning their cards.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "When does \"A man wearing a blue jacket scans a key card at a turnstile gate, which opens, and two more men follow him to the other side of the gate without scanning their cards.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweatshirt scans a key card at a turnstile gate, which opens, and he stops at the threshold.\" take place? Answer the question only using start and end timestamps.", - "duration": 79.2458 + "question": "At what time in the video does \"A man in a white sweatshirt scans a key card at a turnstile gate, which opens, and he stops at the threshold.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_3", "question_id": "GX010012_Clip_3_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man scans a key card at a turnstile gate, which opens, and he walks out to the other side.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "At what time in the video does \"A man scans a key card at a turnstile gate, which opens, and he walks out to the other side.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_9", "question_id": "GX010069_Clip_9_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a blue jeans jacket taps a key card on the card reader and walks through an open door.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 39.0724 + "question": "When is \"A man in a blue jeans jacket taps a key card on the card reader and walks through an open door.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_9", "question_id": "GX010069_Clip_9_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in an orange sweatshirt taps a key card on to the card reader, opens the door, and enters inside.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 39.0724 + "question": "When is \"A man in an orange sweatshirt taps a key card on to the card reader, opens the door, and enters inside.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_9", "question_id": "GX010069_Clip_9_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a black outfit walks inside an open door without tapping a key card.\" happen? Answer the question only using start and end timestamps.", - "duration": 39.0724 + "question": "At what point in the video does \"A man wearing a black outfit walks inside an open door without tapping a key card.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_9", "question_id": "GX010069_Clip_9_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweatshirt taps a key card on a scanner, opens a door, and enters inside, followed by a man in a black outfit who taps a keycard and enters through the open door.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 39.0724 + "question": "When is \"A man in a white sweatshirt taps a key card on a scanner, opens a door, and enters inside, followed by a man in a black outfit who taps a keycard and enters through the open door.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_3", "question_id": "GX010071_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Two people are climbing up the stairs and one by one they exit the frame.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "When does \"Two people are climbing up the stairs and one by one they exit the frame.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_3", "question_id": "GX010071_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Four men enter the room while some people in the background are entering and exiting the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "When does \"Four men enter the room while some people in the background are entering and exiting the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_3", "question_id": "GX010071_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a black outfit enters the room.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "When does \"A man wearing a black outfit enters the room.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_3", "question_id": "GX010071_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black outfit walks into the room and opens a door and closes it.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "When is \"A man in a black outfit walks into the room and opens a door and closes it.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_3", "question_id": "GX010071_Clip_3_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Three men enter the room sequentially as a man in a red shirt extends his hand while walking, followed by several other people.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "At what point in the video does \"Three men enter the room sequentially as a man in a red shirt extends his hand while walking, followed by several other people.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_3", "question_id": "GX010071_Clip_3_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Two people are climbing up the stairs and one by one they exit the frame.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "At what time in the video does \"Two people are climbing up the stairs and one by one they exit the frame.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_5", "question_id": "GX010029_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater moves out from the open door while holding a brown box, closes it, and then walks away.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 25.0584 + "question": "When is \"A man in a white sweater moves out from the open door while holding a brown box, closes it, and then walks away.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_5", "question_id": "GX010029_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black outfit holding a large brown box moves out of the open door and walks away. \" take place? Answer the question only using start and end timestamps.", - "duration": 25.0584 + "question": "At what time in the video does \"A man in a black outfit holding a large brown box moves out of the open door and walks away. \" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_5", "question_id": "GX010029_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit holding a brown box moves out of the open door and walks away.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 25.0584 + "question": "When does \"A man in a black outfit holding a brown box moves out of the open door and walks away.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_6", "question_id": "GX010069_Clip_6_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Two men enter in sequence from a door present at the end of the corridor, walk forward and exit the frame. \" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 35.0684 + "question": "When is \"Two men enter in sequence from a door present at the end of the corridor, walk forward and exit the frame. \" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_6", "question_id": "GX010069_Clip_6_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Two men walk up to a door. A man wearing a brown shirt taps a card on the card reader system, opens the door, and enters, while another man wearing a black jacket tailgates behind him.\" take place? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "At what time in the video does \"Two men walk up to a door. A man wearing a brown shirt taps a card on the card reader system, opens the door, and enters, while another man wearing a black jacket tailgates behind him.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_6", "question_id": "GX010069_Clip_6_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater opens a door located at the end of the corridor, walks forward, and tailgates through an open door on his left.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 35.0684 + "question": "When is \"A man in a white sweater opens a door located at the end of the corridor, walks forward, and tailgates through an open door on his left.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_6", "question_id": "GX010069_Clip_6_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man walks out through an open door, closes it, and then walks to his left.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what point in the video does \"A man walks out through an open door, closes it, and then walks to his left.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person wearing a black jacket can be seen walking through the smart spaces without tapping a card.\" happen? Provide a response using only start and end timestamps.", - "duration": 78.6786 + "question": "At what point in the video does \"A person wearing a black jacket can be seen walking through the smart spaces without tapping a card.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person wearing a pink outfit walks through the smart spaces without scanning a card.\" happen? Answer the question only using start and end timestamps.", - "duration": 78.6786 + "question": "At what point in the video does \"A person wearing a pink outfit walks through the smart spaces without scanning a card.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a green T-shirt and a man in a blue jacket walk through the smart spaces without scanning the cards and exit the frame.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 78.6786 + "question": "At what point in the video does \"A man in a green T-shirt and a man in a blue jacket walk through the smart spaces without scanning the cards and exit the frame.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a white sweater can be seen passing through a smart space while holding a black bag.\" take place? Provide a response using only start and end timestamps.", - "duration": 78.6786 + "question": "At what time in the video does \"A man wearing a white sweater can be seen passing through a smart space while holding a black bag.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a black outfit walks forward and gives a black bag to a man wearing a white sweater.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 78.6786 + "question": "When is \"A man wearing a black outfit walks forward and gives a black bag to a man wearing a white sweater.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a white sweater walks to the smart spaces and scans the card on the scanner.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 78.6786 + "question": "When does \"A man wearing a white sweater walks to the smart spaces and scans the card on the scanner.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a black outfit taps the card on the scanner twice and walks through the smart spaces.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 78.6786 + "question": "At what time in the video does \"A man wearing a black outfit taps the card on the scanner twice and walks through the smart spaces.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_1", "question_id": "GX010070_Clip_1_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"People enter the frame and walk through the smart spaces one after the other without scanning cards.\" happen? Answer the question only using start and end timestamps.", - "duration": 78.6786 + "question": "At what point in the video does \"People enter the frame and walk through the smart spaces one after the other without scanning cards.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A partially visible person climbs down a staircase and starts walking in the direction of the turnstile gates.\" happen? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "At what point in the video does \"A partially visible person climbs down a staircase and starts walking in the direction of the turnstile gates.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a gray pullover walking in the background crosses a turnstile gate that opens and closes after he crosses it.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "When is \"A man in a gray pullover walking in the background crosses a turnstile gate that opens and closes after he crosses it.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A woman in a pink top crosses a turnstile gate in the background that opens and closes behind her as she crosses it.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "When is \"A woman in a pink top crosses a turnstile gate in the background that opens and closes behind her as she crosses it.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black outfit with a white vest underneath shadow punches a partially visible person.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "When is \"A man in a black outfit with a white vest underneath shadow punches a partially visible person.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black utfit and spectacles and a man in a white outfit with a white vest underneath are speaking to each other and shadow punching.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "When does \"A man in a black utfit and spectacles and a man in a white outfit with a white vest underneath are speaking to each other and shadow punching.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man in a black outfit with a white vest underneath pushes a man in a black t-shirt.\" take place? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "At what time in the video does \"The man in a black outfit with a white vest underneath pushes a man in a black t-shirt.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a black outfit with a white vest underneath pushes a man in a black hoodie and spectacles.\" happen? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "At what point in the video does \"A man in a black outfit with a white vest underneath pushes a man in a black hoodie and spectacles.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The man in the blue shirt pushes the man in the black hodded sweatshirt.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "When is \"The man in the blue shirt pushes the man in the black hodded sweatshirt.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two people push away a man in a white sweatshirt.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "At what point in the video does \"Two people push away a man in a white sweatshirt.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The man in the black shirt on the left of the man in the white shirt walks forward while shadow boxing toward the man on the right of the man in a white sweatshirt.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "When is \"The man in the black shirt on the left of the man in the white shirt walks forward while shadow boxing toward the man on the right of the man in a white sweatshirt.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_10", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Four people, starting with a man in a blue shirt, a man in a white sweatshirt, a man wearing a white vest underneath his shirt, and a man wearing spectacles, push the man in a black shirt simultaneously.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "At what point in the video does \"Four people, starting with a man in a blue shirt, a man in a white sweatshirt, a man wearing a white vest underneath his shirt, and a man wearing spectacles, push the man in a black shirt simultaneously.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_11", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two individuals are pushing a man wearing spectacles and a black hoodie while the third man wearing a white vest underneath his shirt shadow punches him.\" happen? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "At what point in the video does \"Two individuals are pushing a man wearing spectacles and a black hoodie while the third man wearing a white vest underneath his shirt shadow punches him.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_12", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Two individuals are pushing the man in a black hoodie and spectacles.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "When does \"Two individuals are pushing the man in a black hoodie and spectacles.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_7", "question_id": "GX010013_Clip_7_13", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a black hoodie and spectacles pushes the man in a black shirt standing towards his right.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "When is \"A man wearing a black hoodie and spectacles pushes the man in a black shirt standing towards his right.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_6", "question_id": "GX010031_Clip_6_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"An individual in a black shirt and blue jeans walks toward a black wall.\" take place? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"An individual in a black shirt and blue jeans walks toward a black wall.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_6", "question_id": "GX010031_Clip_6_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"An individual with a blurred face passes by.\" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"An individual with a blurred face passes by.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_6", "question_id": "GX010031_Clip_6_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"An individual in a black shirt moves forward, pushes another man in a white shirt, and then steps back.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When does \"An individual in a black shirt moves forward, pushes another man in a white shirt, and then steps back.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_6", "question_id": "GX010031_Clip_6_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white shirt pushes another individual standing in front of him in a black shirt.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When does \"A man in a white shirt pushes another individual standing in front of him in a black shirt.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Two men in black outfits enter a room with an open door, one after the other, without scanning key cards.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "When is \"Two men in black outfits enter a room with an open door, one after the other, without scanning key cards.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a green T-shirt enters a room with an open door without scanning a key card.\" take place? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "At what time in the video does \"A man in a green T-shirt enters a room with an open door without scanning a key card.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a white sweatshirtenters a room with an open door without scanning a key card.\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "At what point in the video does \"A man wearing a white sweatshirtenters a room with an open door without scanning a key card.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a red sweater and a man in a black outfit enter a room with an open door, one behind the other, without scanning key cards.\" happen? Provide a response using only start and end timestamps.", - "duration": 60.0934 + "question": "At what point in the video does \"A man in a red sweater and a man in a black outfit enter a room with an open door, one behind the other, without scanning key cards.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Four people, two men, a woman, and a man wearing spectacles, enter a room with an open door, one after the other, without scanning key cards.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0934 + "question": "When is \"Four people, two men, a woman, and a man wearing spectacles, enter a room with an open door, one after the other, without scanning key cards.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a black outfit enters a room with an open door and walks inside without scanning a card.\" take place? Provide a response using only start and end timestamps.", - "duration": 60.0934 + "question": "At what time in the video does \"A man wearing a black outfit enters a room with an open door and walks inside without scanning a card.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_1", "question_id": "GX010011_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a green t-shirt scans a card on a scanner, opens a door, and stands outside it.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "When is \"A man in a green t-shirt scans a card on a scanner, opens a door, and stands outside it.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_1", "question_id": "GX010069_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man dressed in green, standing by a doorway, walks inside.\" take place? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "At what time in the video does \"A man dressed in green, standing by a doorway, walks inside.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_1", "question_id": "GX010069_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Multiple people walking in sequence enter the frame and walk through a doorway without scanning their cards on the scanner next to the doorway.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 60.0934 + "question": "When does \"Multiple people walking in sequence enter the frame and walk through a doorway without scanning their cards on the scanner next to the doorway.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_1", "question_id": "GX010069_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A person dressed in black is walking through a doorway without scanning their card on the scanner next to the doorway.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "When is \"A person dressed in black is walking through a doorway without scanning their card on the scanner next to the doorway.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_1", "question_id": "GX010069_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man enters the frame, taps a card on a card scanner on the wall, opens the door beside it, and steps aside.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0934 + "question": "At what time in the video does \"A man enters the frame, taps a card on a card scanner on the wall, opens the door beside it, and steps aside.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_2", "question_id": "GX010011_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing spectacles, followed by another man wearing spectacles and carrying a bunch of papers, exits the room with an open door and walks towards the left in a passage.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "When does \"A man wearing spectacles, followed by another man wearing spectacles and carrying a bunch of papers, exits the room with an open door and walks towards the left in a passage.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_2", "question_id": "GX010011_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweatshirt exits the room through an open door and goes towards the right of the passage.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 37.0704 + "question": "When is \"A man in a white sweatshirt exits the room through an open door and goes towards the right of the passage.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_2", "question_id": "GX010011_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a maroon sweatshirt walks out of the open door of a room and goes towards the right of the passage.\" happen? Answer the question only using start and end timestamps.", - "duration": 37.0704 + "question": "At what point in the video does \"A man in a maroon sweatshirt walks out of the open door of a room and goes towards the right of the passage.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_2", "question_id": "GX010011_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Six people walk out of an open door of a room one after the other and take a left.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "When is \"Six people walk out of an open door of a room one after the other and take a left.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_2", "question_id": "GX010011_Clip_2_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a green T-shirt exits a room through an open door and takes a left down a passage.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 37.0704 + "question": "At what time in the video does \"A man in a green T-shirt exits a room through an open door and takes a left down a passage.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a green T-shirt walks in an open door.\" happen? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "At what point in the video does \"A man wearing a green T-shirt walks in an open door.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a white sweater can be seen entering a room without tapping his card.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0934 + "question": "When does \"A man wearing a white sweater can be seen entering a room without tapping his card.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two men in a sequence can be seen entering a room without tapping their cards. \" happen? Provide a response using only start and end timestamps.", - "duration": 60.0934 + "question": "At what point in the video does \"Two men in a sequence can be seen entering a room without tapping their cards. \" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Two men in a sequence can be seen entering a room without tapping their cards. \" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "When is \"Two men in a sequence can be seen entering a room without tapping their cards. \" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Four individuals in a sequence can be seen entering a room without tapping their cards.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0934 + "question": "When does \"Four individuals in a sequence can be seen entering a room without tapping their cards.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a black shirt can be seen entering a room without tapping a card on a black card reader.\" take place? Answer the question only using start and end timestamps.", - "duration": 60.0934 + "question": "At what time in the video does \"A man wearing a black shirt can be seen entering a room without tapping a card on a black card reader.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_1", "question_id": "GX010029_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a green T-shirt can be seen tapping a card on a black card reader, opens the door, and stands outside.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 60.0934 + "question": "At what time in the video does \"A man wearing a green T-shirt can be seen tapping a card on a black card reader, opens the door, and stands outside.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_2", "question_id": "GX010029_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man walks to the right after coming out of the door. He opens a door at the end of the corridor, and exits the frame.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 37.0704 + "question": "At what time in the video does \"A man walks to the right after coming out of the door. He opens a door at the end of the corridor, and exits the frame.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_2", "question_id": "GX010029_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man with a bagpack walks to the right after coming out of the door. He opens a door at the end of the corridor, and exits the frame.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 37.0704 + "question": "At what time in the video does \"A man with a bagpack walks to the right after coming out of the door. He opens a door at the end of the corridor, and exits the frame.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_2", "question_id": "GX010029_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Several people walk out through the door in sequence and exit the frame.\" take place? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "At what time in the video does \"Several people walk out through the door in sequence and exit the frame.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a jacket walks out of a door, closes it and walks away.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man wearing a jacket walks out of a door, closes it and walks away.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white t-shirt and a man in an orange t-shirt walk out of a door one by one while holding objects and exit the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When is \"A man in a white t-shirt and a man in an orange t-shirt walk out of a door one by one while holding objects and exit the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit opens and enters through a door and walks while holding a monitor in his right hand.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man in a black outfit opens and enters through a door and walks while holding a monitor in his right hand.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white outfit walks and enters a door.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in a white outfit walks and enters a door.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A person in a black outfit opens a door and walks through it.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A person in a black outfit opens a door and walks through it.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man holding a monitor walks out from a door and turns towards another door.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man holding a monitor walks out from a door and turns towards another door.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_10", "question_id": "GX010069_Clip_10_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white t-shirt holding a CPU walks out from a door, turns to his left, and exits the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man in a white t-shirt holding a CPU walks out from a door, turns to his left, and exits the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_9", "question_id": "GX010029_Clip_9_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a blue jacket enters the frame, taps a card on the card reader next to the door, and walks through the open door.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 39.0724 + "question": "When does \"A man in a blue jacket enters the frame, taps a card on the card reader next to the door, and walks through the open door.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_9", "question_id": "GX010029_Clip_9_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a brown shirt enters the frame, taps a card on the card reader next to the door, opens the door, and enters.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 39.0724 + "question": "At what time in the video does \"A man in a brown shirt enters the frame, taps a card on the card reader next to the door, opens the door, and enters.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_9", "question_id": "GX010029_Clip_9_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in black attire enters the frame and walks through the open door without tapping the card on the card reader. \" happen in the video? Provide a response using only start and end timestamps.", - "duration": 39.0724 + "question": "When does \"A man in black attire enters the frame and walks through the open door without tapping the card on the card reader. \" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_9", "question_id": "GX010029_Clip_9_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in black attire enters the frame, taps a card on the card reader next to the door, and walks through the open door.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 39.0724 + "question": "At what point in the video does \"A man in black attire enters the frame, taps a card on the card reader next to the door, and walks through the open door.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_9", "question_id": "GX010029_Clip_9_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater enters the frame, taps a card on the card reader next to the door, opens the door, and enters.\" take place? Answer the question only using start and end timestamps.", - "duration": 39.0724 + "question": "At what time in the video does \"A man in a white sweater enters the frame, taps a card on the card reader next to the door, opens the door, and enters.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man walks up to a distance and stretches his arms.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "When is \"A man walks up to a distance and stretches his arms.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Several men are pushing each other while moving around.\" happen? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "At what point in the video does \"Several men are pushing each other while moving around.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Several men are pushing each other while moving around.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 62.0954 + "question": "At what point in the video does \"Several men are pushing each other while moving around.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Several men are pushing each other while moving around.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "When is \"Several men are pushing each other while moving around.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black shirt and blue jeans pushes another man in front of him in black attire.\" take place? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "At what time in the video does \"A man in a black shirt and blue jeans pushes another man in front of him in black attire.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person with a blurred face passes by.\" happen? Answer the question only using start and end timestamps.", - "duration": 62.0954 + "question": "At what point in the video does \"A person with a blurred face passes by.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A person with a blurred face passes by.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "When is \"A person with a blurred face passes by.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_7", "question_id": "GX010031_Clip_7_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Several men are pushing each other while moving around.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 62.0954 + "question": "When does \"Several men are pushing each other while moving around.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_7", "question_id": "GX010029_Clip_7_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man walks towards a door, taps a card on the card reader beside the door, opens the door, and walks through it while pulling a trolley.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "When does \"A man walks towards a door, taps a card on the card reader beside the door, opens the door, and walks through it while pulling a trolley.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Three people walk forward, pass through the open turnstile gate without tapping their cards on the scanner, and exit the frame behind a woman dressed in blue.\" take place? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "At what time in the video does \"Three people walk forward, pass through the open turnstile gate without tapping their cards on the scanner, and exit the frame behind a woman dressed in blue.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A woman in a blue sweater holding a laptop walks toward the turnstile gate, taps a card on the scanner, walks through the gates as they open, and exits the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "When does \"A woman in a blue sweater holding a laptop walks toward the turnstile gate, taps a card on the scanner, walks through the gates as they open, and exits the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Two men walk forward, pass through the open turnstile gate without tapping their cards on the scanner, and exit the frame, following a man in a gray jacket.\" take place? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "At what time in the video does \"Two men walk forward, pass through the open turnstile gate without tapping their cards on the scanner, and exit the frame, following a man in a gray jacket.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a gray jacket walks toward the turnstile gate, taps a card on the scanner, and walks through the gates as they open and exit the frame.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "When is \"A man in a gray jacket walks toward the turnstile gate, taps a card on the scanner, and walks through the gates as they open and exit the frame.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a green T-shirt runs forward, moves through the open turnstile gate without tapping his card on the scanner, and exits the frame, following a man in a white sweater.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "When is \"A man in a green T-shirt runs forward, moves through the open turnstile gate without tapping his card on the scanner, and exits the frame, following a man in a white sweater.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater walks toward the turnstile gate, taps a card on the scanner, stops, walks forward as the gate opens, and exits the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "When is \"A man in a white sweater walks toward the turnstile gate, taps a card on the scanner, stops, walks forward as the gate opens, and exits the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_3", "question_id": "GX010070_Clip_3_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in black attire walks toward the turnstile gate, taps a card on the scanner beside it, walks through as the gates open, and exits the frame.\" take place? Answer the question only using start and end timestamps.", - "duration": 79.2458 + "question": "At what time in the video does \"A man in black attire walks toward the turnstile gate, taps a card on the scanner beside it, walks through as the gates open, and exits the frame.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_6", "question_id": "GX010071_Clip_6_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man standing in front of the turnstile gate in the middle walks towards the gate nearest to the brown walls and walks through its open glass panels without scanning a key card.\" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man standing in front of the turnstile gate in the middle walks towards the gate nearest to the brown walls and walks through its open glass panels without scanning a key card.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_6", "question_id": "GX010071_Clip_6_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A person in a pink outfit walks down a flight of stairs.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 18.0514 + "question": "At what time in the video does \"A person in a pink outfit walks down a flight of stairs.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_6", "question_id": "GX010071_Clip_6_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black outfit bends down, moves his hand over the metallic frame of a turnstile gate in the middle as its green lights flicker, and the glass panels of the turnstile gate nearest to the brown walls open.\" take place? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man in a black outfit bends down, moves his hand over the metallic frame of a turnstile gate in the middle as its green lights flicker, and the glass panels of the turnstile gate nearest to the brown walls open.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_6", "question_id": "GX010071_Clip_6_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in the all-black outfit pushes the man in a white sweatshirt and takes a few steps backwards. \" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man in the all-black outfit pushes the man in a white sweatshirt and takes a few steps backwards. \" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_6", "question_id": "GX010071_Clip_6_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweatshirt pushes a man in an all-black outfit and walks a few steps backwards. \" happen in the video? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "When does \"A man in a white sweatshirt pushes a man in an all-black outfit and walks a few steps backwards. \" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_7", "question_id": "GX010011_Clip_7_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man can be seen placing a card on the card reader next to a door, opening the door, and entering the room while pulling a cart.\" take place? Provide a response using only start and end timestamps.", - "duration": 30.0634 + "question": "At what time in the video does \"A man can be seen placing a card on the card reader next to a door, opening the door, and entering the room while pulling a cart.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_7", "question_id": "GX010011_Clip_7_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man pulls a wheeled cart loaded with objects through a corridor and stops in front of a door.\" happen? Answer the question only using start and end timestamps.", - "duration": 30.0634 + "question": "At what point in the video does \"A man pulls a wheeled cart loaded with objects through a corridor and stops in front of a door.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_1", "question_id": "GX010071_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a black outfit enters the frame and runs past the group of people; the group of people start running in the same direction as him.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 11.0444 + "question": "At what point in the video does \"A man wearing a black outfit enters the frame and runs past the group of people; the group of people start running in the same direction as him.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_4", "question_id": "GX010030_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Two people enter the frame as they walk down the stairs. The person in red clothes walks away as another person behind them stops.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 22.1888 + "question": "When does \"Two people enter the frame as they walk down the stairs. The person in red clothes walks away as another person behind them stops.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_4", "question_id": "GX010030_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A woman walks down the stairs.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 22.1888 + "question": "When is \"A woman walks down the stairs.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_4", "question_id": "GX010030_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person wearing a backpack is walking towards a tripod and turns back.\" happen? Provide a response using only start and end timestamps.", - "duration": 22.1888 + "question": "At what point in the video does \"A person wearing a backpack is walking towards a tripod and turns back.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_4", "question_id": "GX010030_Clip_4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Five people sequentially walk through a turnstile gate nearest to the railing without scanning a card. The gate opens and turns red when the first person approaches and closes when everyone passes through.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 22.1888 + "question": "When does \"Five people sequentially walk through a turnstile gate nearest to the railing without scanning a card. The gate opens and turns red when the first person approaches and closes when everyone passes through.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_4", "question_id": "GX010013_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a red sweatshirt can be seen walking out of a doorway and heading towards his right.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 28.6953 + "question": "When is \"A man wearing a red sweatshirt can be seen walking out of a doorway and heading towards his right.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_4", "question_id": "GX010013_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a gray T-shirt and holding a white cup is seen walking out of a doorway while going towards his right, followed by a woman wearing a black blazer.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 28.6953 + "question": "At what point in the video does \"A man wearing a gray T-shirt and holding a white cup is seen walking out of a doorway while going towards his right, followed by a woman wearing a black blazer.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_4", "question_id": "GX010013_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a black jacket can be seen walking out of a doorway and going towards his right while holding white papers.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 28.6953 + "question": "When is \"A man wearing a black jacket can be seen walking out of a doorway and going towards his right while holding white papers.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_4", "question_id": "GX010013_Clip_4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Three men can be seen walking out of a doorway in sequence; the first man is wearing a black hoodie, the second man is wearing a denim jacket, and the third man is wearing a green T-shirt while holding a sling bag.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 28.6953 + "question": "When does \"Three men can be seen walking out of a doorway in sequence; the first man is wearing a black hoodie, the second man is wearing a denim jacket, and the third man is wearing a green T-shirt while holding a sling bag.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_4", "question_id": "GX010013_Clip_4_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Four men can be seen walking out of a doorway in sequence; the first two individuals are carrying laptops, the third man is holding a white cup, and the fourth man is carrying a backpack.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 28.6953 + "question": "At what time in the video does \"Four men can be seen walking out of a doorway in sequence; the first two individuals are carrying laptops, the third man is holding a white cup, and the fourth man is carrying a backpack.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010013_Clip_4", "question_id": "GX010013_Clip_4_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a white sweater can be seen walking out of a doorway.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 28.6953 + "question": "When is \"A man wearing a white sweater can be seen walking out of a doorway.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_8", "question_id": "GX010011_Clip_8_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in the white sweater closes the door.\" happen? Answer the question only using start and end timestamps.", - "duration": 85.1184 + "question": "At what point in the video does \"A man in the white sweater closes the door.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_8", "question_id": "GX010011_Clip_8_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man walks out of the room and stands near the door.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 85.1184 + "question": "When does \"A man walks out of the room and stands near the door.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_8", "question_id": "GX010011_Clip_8_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a black jacket walks out of the room and stands near the door.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 85.1184 + "question": "When does \"A man wearing a black jacket walks out of the room and stands near the door.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_8", "question_id": "GX010011_Clip_8_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in black attire knocks on the door.\" happen? Answer the question only using start and end timestamps.", - "duration": 85.1184 + "question": "At what point in the video does \"A man in black attire knocks on the door.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_8", "question_id": "GX010011_Clip_8_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater walks through the corridor and knocks on the door.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 85.1184 + "question": "When does \"A man in a white sweater walks through the corridor and knocks on the door.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_4", "question_id": "GX010031_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A woman in a gray T-shirt, holding a bag, exits beside a partially visible staircase and walks away.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 25.2586 + "question": "At what time in the video does \"A woman in a gray T-shirt, holding a bag, exits beside a partially visible staircase and walks away.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_4", "question_id": "GX010031_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Eleven people walk through a doorway in sequence, moving forward between two tripods and exiting the frame. Out of these, three people go to the right of the tripod and one to the left.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 25.2586 + "question": "At what time in the video does \"Eleven people walk through a doorway in sequence, moving forward between two tripods and exiting the frame. Out of these, three people go to the right of the tripod and one to the left.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_4", "question_id": "GX010031_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white T-shirt walks through a doorway, moves forward from between two tripods, and exits the frame.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 25.2586 + "question": "When does \"A man in a white T-shirt walks through a doorway, moves forward from between two tripods, and exits the frame.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man dressed in blue walks through a turnstile gate without using a card on the scanner to open the gate.\" take place? Answer the question only using start and end timestamps.", - "duration": 61.061 + "question": "At what time in the video does \"A man dressed in blue walks through a turnstile gate without using a card on the scanner to open the gate.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A woman wearing a pink top walks through a turnstile gate after using a card on the scanner of the gate to open it.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 61.061 + "question": "At what time in the video does \"A woman wearing a pink top walks through a turnstile gate after using a card on the scanner of the gate to open it.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing black attire walks forward, makes some hand gestures, walks backward, and then stands.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 61.061 + "question": "When does \"A man wearing black attire walks forward, makes some hand gestures, walks backward, and then stands.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Four men push a man wearing black sweatshirt one by one towards each other, before the man in the black sweatshirt exits the frame.\" take place? Answer the question only using start and end timestamps.", - "duration": 61.061 + "question": "At what time in the video does \"Four men push a man wearing black sweatshirt one by one towards each other, before the man in the black sweatshirt exits the frame.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Three men push a man in a black hoodie and black spectacles towards each other.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 61.061 + "question": "When does \"Three men push a man in a black hoodie and black spectacles towards each other.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Two men push a man in a black hoodie, and one more man walks towards the man in the black hoodie and makes gestures with fists.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 61.061 + "question": "When is \"Two men push a man in a black hoodie, and one more man walks towards the man in the black hoodie and makes gestures with fists.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A spectacled man in a black hoodie pushes another man dressed in black.\" happen? Answer the question only using start and end timestamps.", - "duration": 61.061 + "question": "At what point in the video does \"A spectacled man in a black hoodie pushes another man dressed in black.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_7", "question_id": "GX010071_Clip_7_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing black attire pushes two men one after the other and then pushes one more man twice in a smart space.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 61.061 + "question": "When does \"A man wearing black attire pushes two men one after the other and then pushes one more man twice in a smart space.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_11", "question_id": "GX010011_Clip_11_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit walks down a hallway while pushing a dolly and carefully avoiding two tripod in his way.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "When does \"A man in a black outfit walks down a hallway while pushing a dolly and carefully avoiding two tripod in his way.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_11", "question_id": "GX010011_Clip_11_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a black outfit closes a door.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "At what point in the video does \"A man in a black outfit closes a door.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_11", "question_id": "GX010011_Clip_11_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man exits a room while pulling on a door and enters a hallway while pushing a black dolly.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0634 + "question": "When does \"A man exits a room while pulling on a door and enters a hallway while pushing a black dolly.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_11", "question_id": "GX010011_Clip_11_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater walks down the hallway while holding a flat rectangular object in his right hand.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "When is \"A man in a white sweater walks down the hallway while holding a flat rectangular object in his right hand.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_11", "question_id": "GX010011_Clip_11_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man holding a flat rectangular object walks down the hallway and exits the frame.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0634 + "question": "When does \"A man holding a flat rectangular object walks down the hallway and exits the frame.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_2", "question_id": "GX010072_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man carrying a computer monitor follows another man through the automatic swing gate without using a card.\" happen? Answer the question only using start and end timestamps.", - "duration": 48.3817 + "question": "At what point in the video does \"A man carrying a computer monitor follows another man through the automatic swing gate without using a card.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_2", "question_id": "GX010072_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater shifts the object in his hands, taps a card on the automatic swing gate, passes through, and continues walking.\" take place? Answer the question only using start and end timestamps.", - "duration": 48.3817 + "question": "At what time in the video does \"A man in a white sweater shifts the object in his hands, taps a card on the automatic swing gate, passes through, and continues walking.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_2", "question_id": "GX010072_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater steps forward and raises his left knee to adjust the object in his hands.\" take place? Provide a response using only start and end timestamps.", - "duration": 48.3817 + "question": "At what time in the video does \"A man in a white sweater steps forward and raises his left knee to adjust the object in his hands.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010072_Clip_2", "question_id": "GX010072_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying a computer monitor walks towards the automatic swing gate, passes through it, walks straight, stops, and then turns around.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 48.3817 + "question": "At what time in the video does \"A man carrying a computer monitor walks towards the automatic swing gate, passes through it, walks straight, stops, and then turns around.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010072_Clip_2", "question_id": "GX010072_Clip_2_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying a computer monitor in his hands enters, stops, and then walks to his right.\" take place? Answer the question only using start and end timestamps.", - "duration": 48.3817 + "question": "At what time in the video does \"A man carrying a computer monitor in his hands enters, stops, and then walks to his right.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_2", "question_id": "GX010072_Clip_2_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater holding a large black object walks through an automatic swing gate, stops near a brown wall, and turns around.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 48.3817 + "question": "At what time in the video does \"A man in a white sweater holding a large black object walks through an automatic swing gate, stops near a brown wall, and turns around.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man runs through an open turnstile gate without tapping a card on the gate.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A man runs through an open turnstile gate without tapping a card on the gate.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man walks through a turnstile gate while pushing a trolley hauling boxes.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A man walks through a turnstile gate while pushing a trolley hauling boxes.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a blue and black jacket holding a rectangular box is walking towards the turnstile gate and goes back.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in a blue and black jacket holding a rectangular box is walking towards the turnstile gate and goes back.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man walks, touches the gate, and walks away from the gate.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man walks, touches the gate, and walks away from the gate.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man approaches the turnstile gates while pushing a trolley and taps the card on the gate.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man approaches the turnstile gates while pushing a trolley and taps the card on the gate.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a blue and black jacket holding a rectangular box approaches the turnstile gate and walks through it after tapping a card on the gate. \" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When is \"A man in a blue and black jacket holding a rectangular box approaches the turnstile gate and walks through it after tapping a card on the gate. \" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in black clothes approaches the turnstile gate while holding a box.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in black clothes approaches the turnstile gate while holding a box.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man walks through a turnstile gate while pushing a trolley hauling boxes and stops after some distance.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man walks through a turnstile gate while pushing a trolley hauling boxes and stops after some distance.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a blue and black jacket walks through a turnstile gate while holding a box and stops after some distance.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When is \"A man in a blue and black jacket walks through a turnstile gate while holding a box and stops after some distance.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010032_Clip_1", "question_id": "GX010032_Clip_1_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man holding a box walks through a turnstile gate and stops after some distance.\" take place? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what time in the video does \"A man holding a box walks through a turnstile gate and stops after some distance.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_2", "question_id": "GX010071_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The group of people starts running past the pillar in the same direction as the man with the bag.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 23.0564 + "question": "When does \"The group of people starts running past the pillar in the same direction as the man with the bag.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_2", "question_id": "GX010071_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black outfit enters the frame and runs behind a pillar past the group of people.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 23.0564 + "question": "When is \"A man in a black outfit enters the frame and runs behind a pillar past the group of people.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_5", "question_id": "GX010030_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a gray jacket walks through the gate as it opens again after closing halfway through.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "When does \"A man wearing a gray jacket walks through the gate as it opens again after closing halfway through.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_5", "question_id": "GX010030_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A woman holding a laptop walks through the opened turnstile gate.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "When is \"A woman holding a laptop walks through the opened turnstile gate.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_5", "question_id": "GX010030_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man dressed in all black and holding white sheets of paper walks through the glass gate as it opens, followed by a woman dressed in blue and holding a laptop.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 17.6176 + "question": "When is \"A man dressed in all black and holding white sheets of paper walks through the glass gate as it opens, followed by a woman dressed in blue and holding a laptop.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_5", "question_id": "GX010030_Clip_5_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man with a black backpack walks up to a gate, scans a card, and steps aside as another man in gray passes through the gate from the opposite direction. The man with the backpack then walks through the gate.\" take place? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "At what time in the video does \"A man with a black backpack walks up to a gate, scans a card, and steps aside as another man in gray passes through the gate from the opposite direction. The man with the backpack then walks through the gate.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_5", "question_id": "GX010030_Clip_5_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a gray t-shirt walks through the opened turnstile gate as a man dressed in black scans his card causing the doors to open.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "When does \"A man in a gray t-shirt walks through the opened turnstile gate as a man dressed in black scans his card causing the doors to open.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_5", "question_id": "GX010030_Clip_5_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a green t-shirt and a man in a blue jacket and walk through the turnstile gate one by one as it opens. \" happen in the video? Answer the question only using start and end timestamps.", - "duration": 17.6176 + "question": "When does \"A man in a green t-shirt and a man in a blue jacket and walk through the turnstile gate one by one as it opens. \" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_2", "question_id": "GX010031_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person in a black shirt enters the scene running past a white pillar along with a group of people already running.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 23.0564 + "question": "At what point in the video does \"A person in a black shirt enters the scene running past a white pillar along with a group of people already running.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_2", "question_id": "GX010031_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Several people with their back profiles visible start running together, after which a man enters the scene running, as the group runs towards the end of the black wall and turns towards their right.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 23.0564 + "question": "When is \"Several people with their back profiles visible start running together, after which a man enters the scene running, as the group runs towards the end of the black wall and turns towards their right.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010014_Clip_2", "question_id": "GX010014_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The man in the white outfit taps a key card on the turnstile gate, walks through it as the glass panels open, and exits the frame, followed by another man who does not scan a key card.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 48.3817 + "question": "When does \"The man in the white outfit taps a key card on the turnstile gate, walks through it as the glass panels open, and exits the frame, followed by another man who does not scan a key card.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010014_Clip_2", "question_id": "GX010014_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man holding a monitor walks through a turnstile gate that opens without scanning a key card.\" happen? Answer the question only using start and end timestamps.", - "duration": 48.3817 + "question": "At what point in the video does \"A man holding a monitor walks through a turnstile gate that opens without scanning a key card.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010014_Clip_2", "question_id": "GX010014_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man holding a black box walks through a turnstile gate that opens without scanning a key card.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 48.3817 + "question": "When is \"A man holding a black box walks through a turnstile gate that opens without scanning a key card.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a red top can be seen walking through a smart space.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "At what time in the video does \"A man wearing a red top can be seen walking through a smart space.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a gray T-shirt can be seen walking through a smart space.\" take place? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "At what time in the video does \"A man in a gray T-shirt can be seen walking through a smart space.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in black attire carrying a bag walks through a smart space.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "When is \"A man in black attire carrying a bag walks through a smart space.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a black jacket can be seen walking through a smart space while holding a piece of paper.\" take place? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "At what time in the video does \"A man wearing a black jacket can be seen walking through a smart space while holding a piece of paper.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a black hoodie can be seen walking through a smart space.\" take place? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "At what time in the video does \"A man wearing a black hoodie can be seen walking through a smart space.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A woman wearing a black jacket and a pink top can be seen walking through a smart space.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "At what point in the video does \"A woman wearing a black jacket and a pink top can be seen walking through a smart space.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A woman wearing a light blue top can be seen walking through the smart space while holding a laptop.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "At what point in the video does \"A woman wearing a light blue top can be seen walking through the smart space while holding a laptop.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a light blue jacket can be seen walking through a smart space.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A man wearing a light blue jacket can be seen walking through a smart space.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a green T-shirt with a sling bag walks through a smart space.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A man in a green T-shirt with a sling bag walks through a smart space.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_2", "question_id": "GX010030_Clip_2_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater walks through a smart space while carrying a bag.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When is \"A man in a white sweater walks through a smart space while carrying a bag.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_5", "question_id": "GX010012_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black outfit walks through a turnstile gate, followed by a woman in a gray shirt, before the gate closes.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 17.6176 + "question": "At what time in the video does \"A man in a black outfit walks through a turnstile gate, followed by a woman in a gray shirt, before the gate closes.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_5", "question_id": "GX010012_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A turnstile gate opens as a man in a black jacket taps an access card and walks through it, after letting another man in a black T-shirt pass through the same gate in the opposite direction, after which the gate closes.\" take place? Provide a response using only start and end timestamps.", - "duration": 17.6176 + "question": "At what time in the video does \"A turnstile gate opens as a man in a black jacket taps an access card and walks through it, after letting another man in a black T-shirt pass through the same gate in the opposite direction, after which the gate closes.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_5", "question_id": "GX010012_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a green T-shirt walks through a turnstile gate as it opens, followed by another man in a gray shirt, after which the gate closes.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 17.6176 + "question": "When does \"A man in a green T-shirt walks through a turnstile gate as it opens, followed by another man in a gray shirt, after which the gate closes.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white T-shirt enters the scene, stands in between two tripod stands, takes a few steps towards his right, turns his head back, and walks forward to enter the passage.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "When is \"A man in a white T-shirt enters the scene, stands in between two tripod stands, takes a few steps towards his right, turns his head back, and walks forward to enter the passage.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Three men are walking inside a passage, where the man leading the sequence enters the frame from the left of the tripod stand in the foreground and the other two behind him walk through the middle of the tripod stands.\" take place? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "At what time in the video does \"Three men are walking inside a passage, where the man leading the sequence enters the frame from the left of the tripod stand in the foreground and the other two behind him walk through the middle of the tripod stands.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black t-shirt holding a cup walks inside a passage.\" take place? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "At what time in the video does \"A man in a black t-shirt holding a cup walks inside a passage.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying a backpack walks inside the entrance of a passage.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "At what time in the video does \"A man carrying a backpack walks inside the entrance of a passage.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"Two men walk inside a passage in a sequence.\" take place? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "At what time in the video does \"Two men walk inside a passage in a sequence.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A woman in a black outfit walks inside a passage, closely following a man in a blue jacket.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "When is \"A woman in a black outfit walks inside a passage, closely following a man in a blue jacket.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweatshirt gestures to a man in a black t-shirt to walk away as both walk out of the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 58.0914 + "question": "When does \"A man in a white sweatshirt gestures to a man in a black t-shirt to walk away as both walk out of the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Three men enter a passage as the man leading the sequence gestures a man in a black t-shirt walking towards the passage who stops walking ahead.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 58.0914 + "question": "When does \"Three men enter a passage as the man leading the sequence gestures a man in a black t-shirt walking towards the passage who stops walking ahead.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010031_Clip_3", "question_id": "GX010031_Clip_3_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A person in black attire pushing a cart halts to open a door and enters through it while pulling the cart inside.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 58.0914 + "question": "When does \"A person in black attire pushing a cart halts to open a door and enters through it while pulling the cart inside.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_4", "question_id": "GX010069_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man standing at the doorway moves inside the room as the door starts to close.\" take place? Provide a response using only start and end timestamps.", - "duration": 33.0664 + "question": "At what time in the video does \"A man standing at the doorway moves inside the room as the door starts to close.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_4", "question_id": "GX010069_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man taps a card on a reader beside a door, opens it, and stands by the open door.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 33.0664 + "question": "When is \"A man taps a card on a reader beside a door, opens it, and stands by the open door.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_4", "question_id": "GX010069_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying two cardboard boxes walks inside an open door without tapping a key card.\" take place? Provide a response using only start and end timestamps.", - "duration": 33.0664 + "question": "At what time in the video does \"A man carrying two cardboard boxes walks inside an open door without tapping a key card.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_4", "question_id": "GX010069_Clip_4_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man carrying a cardboard box enters through an open door without tapping a key card.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 33.0664 + "question": "At what point in the video does \"A man carrying a cardboard box enters through an open door without tapping a key card.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010032_Clip_2", "question_id": "GX010032_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man in black clothes who is holding a monitor tailgates the man in white sweater and walks through the turnstile gate without tapping a card on the gate.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 48.3817 + "question": "At what time in the video does \"The man in black clothes who is holding a monitor tailgates the man in white sweater and walks through the turnstile gate without tapping a card on the gate.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010032_Clip_2", "question_id": "GX010032_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man wearing a white sweater taps a card on the turnstile gate, then walks through it while holding a black box.\" take place? Provide a response using only start and end timestamps.", - "duration": 48.3817 + "question": "At what time in the video does \"The man wearing a white sweater taps a card on the turnstile gate, then walks through it while holding a black box.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010032_Clip_2", "question_id": "GX010032_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing black clothes walks through the turnstile gate without tapping a card on the gate while holding a monitor.\" take place? Provide a response using only start and end timestamps.", - "duration": 48.3817 + "question": "At what time in the video does \"A man wearing black clothes walks through the turnstile gate without tapping a card on the gate while holding a monitor.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010032_Clip_2", "question_id": "GX010032_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a white sweater walks through the turnstile gate without tapping a card on the gate while holding a black box.\" take place? Answer the question only using start and end timestamps.", - "duration": 48.3817 + "question": "At what time in the video does \"A man wearing a white sweater walks through the turnstile gate without tapping a card on the gate while holding a black box.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_4", "question_id": "GX010011_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater walks through the corridor carrying a rectangular box, enters the room and places the box on the partially visible table.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 33.0664 + "question": "At what time in the video does \"A man in a white sweater walks through the corridor carrying a rectangular box, enters the room and places the box on the partially visible table.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_4", "question_id": "GX010011_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a black shirt walks through the corridor carrying boxes behind a man wearing black attire, enters the room and places the boxes on the partially visible table.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 33.0664 + "question": "When is \"A man wearing a black shirt walks through the corridor carrying boxes behind a man wearing black attire, enters the room and places the boxes on the partially visible table.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_4", "question_id": "GX010011_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man dressed in black walks through the corridor, taps a card on the door card reader beside the door, and enters the room.\" happen? Provide a response using only start and end timestamps.", - "duration": 33.0664 + "question": "At what point in the video does \"A man dressed in black walks through the corridor, taps a card on the door card reader beside the door, and enters the room.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a denim jacket comes out of a door and closes it.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When is \"A man wearing a denim jacket comes out of a door and closes it.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a brown shirt walks out of the door while holding papers.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "At what time in the video does \"A man wearing a brown shirt walks out of the door while holding papers.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a white shirt holding a thin silver box can be seen walking in the hallway.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man wearing a white shirt holding a thin silver box can be seen walking in the hallway.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a white shirt holding a thin silver box walks out the door into the hallway and stops at the end of the hallway.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When is \"A man wearing a white shirt holding a thin silver box walks out the door into the hallway and stops at the end of the hallway.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man holding a monitor enters the frame, walks to the end of the hallway, and turns to his left.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man holding a monitor enters the frame, walks to the end of the hallway, and turns to his left.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater picks up a partially visible object and walks towards the door.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man in a white sweater picks up a partially visible object and walks towards the door.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a white sweater can be seen handing a bunch of papers to a partially visible person.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A man wearing a white sweater can be seen handing a bunch of papers to a partially visible person.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a white sweater walks through the door.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A man wearing a white sweater walks through the door.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man holding a device resembling a monitor walks out the door and continues walking to the right of the door and exits the frame.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man holding a device resembling a monitor walks out the door and continues walking to the right of the door and exits the frame.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_10", "question_id": "GX010011_Clip_10_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A door opens and a man holding a black box walks out the door and continues walking to the left of the door till he exits the frame.\" take place? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what time in the video does \"A door opens and a man holding a black box walks out the door and continues walking to the left of the door till he exits the frame.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_5", "question_id": "GX010011_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black jacket walks out of a room carrying a box, walks on the floor, and turns left at the end near the wall.\" take place? Provide a response using only start and end timestamps.", - "duration": 25.0584 + "question": "At what time in the video does \"A man in a black jacket walks out of a room carrying a box, walks on the floor, and turns left at the end near the wall.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_5", "question_id": "GX010011_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater walks out of a room carrying a box, closes the door behind him, walks on the floor, and turns left at the end near the wall.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 25.0584 + "question": "When is \"A man in a white sweater walks out of a room carrying a box, closes the door behind him, walks on the floor, and turns left at the end near the wall.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_5", "question_id": "GX010011_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A door opens, and a man in black attire holding a box walks on the floor and turns left at the end near the wall.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 25.0584 + "question": "When is \"A door opens, and a man in black attire holding a box walks on the floor and turns left at the end near the wall.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_11", "question_id": "GX010069_Clip_11_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man opens and enters through a door into a corridor and walks out of the frame while carrying an object in his right hand.\" take place? Provide a response using only start and end timestamps.", - "duration": 30.0634 + "question": "At what time in the video does \"A man opens and enters through a door into a corridor and walks out of the frame while carrying an object in his right hand.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_11", "question_id": "GX010069_Clip_11_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black outfit walks out of a white doorway while pushing a dolly in front, closes the door, and walks out of the frame.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "At what time in the video does \"A man in a black outfit walks out of a white doorway while pushing a dolly in front, closes the door, and walks out of the frame.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_11", "question_id": "GX010069_Clip_11_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white outfit opens a door, flings it open wide using his foot, and walks through it as it closes behind him.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "At what point in the video does \"A man in a white outfit opens a door, flings it open wide using his foot, and walks through it as it closes behind him.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_11", "question_id": "GX010069_Clip_11_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in white outfit walks toward a door while holding an object.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 30.0634 + "question": "When is \"A man in white outfit walks toward a door while holding an object.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_1", "question_id": "GX010013_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person in a white sweatshirt gestures to a partially visible person in a blue jacket who walks out of the frame.\" happen? Answer the question only using start and end timestamps.", - "duration": 11.0444 + "question": "At what point in the video does \"A person in a white sweatshirt gestures to a partially visible person in a blue jacket who walks out of the frame.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_1", "question_id": "GX010013_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white shirt starts to run away from the frame, followed by other people standing around him.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 11.0444 + "question": "When is \"A man in a white shirt starts to run away from the frame, followed by other people standing around him.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_1", "question_id": "GX010013_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A partially visible individual with a backpack runs into the frame and exits the scene as a group of people start running in the same direction after he enters the scene.\" take place? Provide a response using only start and end timestamps.", - "duration": 11.0444 + "question": "At what time in the video does \"A partially visible individual with a backpack runs into the frame and exits the scene as a group of people start running in the same direction after he enters the scene.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_5", "question_id": "GX010071_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a black outfit walks through a turnstile gate in a smart space without scanning a card and turns towards the camera as the gate closes behind him and the lights on the gate blink green.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 18.0514 + "question": "At what time in the video does \"A man in a black outfit walks through a turnstile gate in a smart space without scanning a card and turns towards the camera as the gate closes behind him and the lights on the gate blink green.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_5", "question_id": "GX010071_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man wearing a black outfit jumps over the turnstile gate without scanning a card but the panels of the gate do not open after he jumps and the lights on the gate blink red once turning green.\" happen? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what point in the video does \"A man wearing a black outfit jumps over the turnstile gate without scanning a card but the panels of the gate do not open after he jumps and the lights on the gate blink red once turning green.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_5", "question_id": "GX010071_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a brown sweatshirt runs and jumps over a turnstile gate without scanning a card that opens and closes after he jumps over and the light blinks red once before blinking green.\" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man wearing a brown sweatshirt runs and jumps over a turnstile gate without scanning a card that opens and closes after he jumps over and the light blinks red once before blinking green.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_4", "question_id": "GX010012_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A person wearing a white sweater can be seen passing through a smart space, and behind him, four individuals, including a woman, are visible tailgating.\" take place? Answer the question only using start and end timestamps.", - "duration": 22.1888 + "question": "At what time in the video does \"A person wearing a white sweater can be seen passing through a smart space, and behind him, four individuals, including a woman, are visible tailgating.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_4", "question_id": "GX010012_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A person walks down the stairs and exits the frame.\" take place? Answer the question only using start and end timestamps.", - "duration": 22.1888 + "question": "At what time in the video does \"A person walks down the stairs and exits the frame.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_7", "question_id": "GX010069_Clip_7_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man pulling a trolley with some object on it walks forward, places a card over the scanner beside the door, and opens the door. He then walks through the doorway along with the trolley.\" happen? Answer the question only using start and end timestamps.", - "duration": 30.0634 + "question": "At what point in the video does \"A man pulling a trolley with some object on it walks forward, places a card over the scanner beside the door, and opens the door. He then walks through the doorway along with the trolley.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_8", "question_id": "GX010029_Clip_8_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two men standing near the door move their fingers on the phones in their hands. The man in the green T-shirt with a bag puts his phone away before walking, while the man in a black jacket continues to hold his phone.\" happen? Provide a response using only start and end timestamps.", - "duration": 85.1184 + "question": "At what point in the video does \"Two men standing near the door move their fingers on the phones in their hands. The man in the green T-shirt with a bag puts his phone away before walking, while the man in a black jacket continues to hold his phone.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_8", "question_id": "GX010029_Clip_8_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The people in the group, a few holding objects and a few idly standing, walk away one by one and exit the frame.\" happen? Answer the question only using start and end timestamps.", - "duration": 85.1184 + "question": "At what point in the video does \"The people in the group, a few holding objects and a few idly standing, walk away one by one and exit the frame.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_8", "question_id": "GX010029_Clip_8_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit walks out through the door and stands along with the group of people.\n\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 85.1184 + "question": "When does \"A man in a black outfit walks out through the door and stands along with the group of people.\n\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_8", "question_id": "GX010029_Clip_8_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The man in the white outfit shuts the door. \" happen? Answer the question only using start and end timestamps.", - "duration": 85.1184 + "question": "At what point in the video does \"The man in the white outfit shuts the door. \" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_8", "question_id": "GX010029_Clip_8_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The door opens, and a man in a black jacket holding a few papers walks through the door and stands with the group of people.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 85.1184 + "question": "At what point in the video does \"The door opens, and a man in a black jacket holding a few papers walks through the door and stands with the group of people.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_8", "question_id": "GX010029_Clip_8_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white outfit and another man in a black outfit walk to the door and knock on it. The man in the white outfit continues to knock.\" take place? Provide a response using only start and end timestamps.", - "duration": 85.1184 + "question": "At what time in the video does \"A man in a white outfit and another man in a black outfit walk to the door and knock on it. The man in the white outfit continues to knock.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_3", "question_id": "GX010069_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Three men walk inside an open door without tapping any key cards on the scanner.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "When does \"Three men walk inside an open door without tapping any key cards on the scanner.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_3", "question_id": "GX010069_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit walks through an open door without tapping a card on the scanner.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "When does \"A man in a black outfit walks through an open door without tapping a card on the scanner.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_3", "question_id": "GX010069_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man taps a card on a scanner, turns the handle of a door with his right hand, opens the door, and enters.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what time in the video does \"A man taps a card on a scanner, turns the handle of a door with his right hand, opens the door, and enters.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_1", "question_id": "GX010031_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A group of people start running together.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 11.0444 + "question": "At what point in the video does \"A group of people start running together.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010031_Clip_1", "question_id": "GX010031_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black shirt runs towards the group of people who join him in running.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 11.0444 + "question": "When does \"A man in a black shirt runs towards the group of people who join him in running.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black jacket walks towards the automatic access control gate in the middle.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man in a black jacket walks towards the automatic access control gate in the middle.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black jacket tailgates another person and passes through an automatic access control gate without scanning his card.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man in a black jacket tailgates another person and passes through an automatic access control gate without scanning his card.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man holding a flat rectangular cardboard box scans a card and passes through the automatic access control gate in the middle.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When is \"A man holding a flat rectangular cardboard box scans a card and passes through the automatic access control gate in the middle.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a black jacket walks up to an automatic access control gate while carrying a box and attempts to scan a card at the gate.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in a black jacket walks up to an automatic access control gate while carrying a box and attempts to scan a card at the gate.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man holding a cardboard box exits the frame.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "At what point in the video does \"A man holding a cardboard box exits the frame.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man pushing a loaded dolly walks through an automatic access control gate without scanning his card.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "At what time in the video does \"A man pushing a loaded dolly walks through an automatic access control gate without scanning his card.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man carrying a box walks up to the automatic access control gate and moves his hands in front of the sensors, causing all gates to open.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man carrying a box walks up to the automatic access control gate and moves his hands in front of the sensors, causing all gates to open.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit exits the frame.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man in a black outfit exits the frame.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit enters the frame and tries to trigger the automatic access control gate by moving his hands in front of the sensor.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man in a black outfit enters the frame and tries to trigger the automatic access control gate by moving his hands in front of the sensor.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man pushing a loaded dolly stops in front of a smart space control gate, but the gate fails to open after he attempts to scan a card.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When is \"A man pushing a loaded dolly stops in front of a smart space control gate, but the gate fails to open after he attempts to scan a card.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_10", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man pushing a loaded dolly walks through a smart smart control gate without scanning a card.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man pushing a loaded dolly walks through a smart smart control gate without scanning a card.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_11", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man holding a cardboard box walks through the smart spaces without tapping his card.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man holding a cardboard box walks through the smart spaces without tapping his card.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010072_Clip_1", "question_id": "GX010072_Clip_1_12", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man holding a box walks through the smart spaces without scanning a card.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man holding a box walks through the smart spaces without scanning a card.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The man in a blue jacket walks through the turnstile gate closest to the wall without tapping a card on the gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 78.712 + "question": "When is \"The man in a blue jacket walks through the turnstile gate closest to the wall without tapping a card on the gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man in white sweater takes a backpack from a man in black clothes, then walks through the gate and gestures while facing the gate and walks away.\" take place? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "At what time in the video does \"The man in white sweater takes a backpack from a man in black clothes, then walks through the gate and gestures while facing the gate and walks away.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A woman in pink clothes is walking through the turnstile gate nearest to the railing without tapping a card on the gate.\" happen? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "At what point in the video does \"A woman in pink clothes is walking through the turnstile gate nearest to the railing without tapping a card on the gate.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The man in an all-black outfit gives a backpack to the man in the white outfit and walks away. \" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "When is \"The man in an all-black outfit gives a backpack to the man in the white outfit and walks away. \" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A woman walks out of a door; she turns around after a few steps and walks.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 78.712 + "question": "When does \"A woman walks out of a door; she turns around after a few steps and walks.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two people are climbing the staircase and they exit the frame. \" happen? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "At what point in the video does \"Two people are climbing the staircase and they exit the frame. \" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A person climbs down the staircase.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "When does \"A person climbs down the staircase.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The man in a green T-shirt walks through the turnstile in the middle without tapping a card on the gate.\" happen? Answer the question only using start and end timestamps.", - "duration": 78.712 + "question": "At what point in the video does \"The man in a green T-shirt walks through the turnstile in the middle without tapping a card on the gate.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"The man in the white outfit walks towards the turnstile gate in the middle, taps a card, and turns around.\" take place? Answer the question only using start and end timestamps.", - "duration": 78.712 + "question": "At what time in the video does \"The man in the white outfit walks towards the turnstile gate in the middle, taps a card, and turns around.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in an all-black outfit taps a card on the turnstile gate near the railing and walks through it.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 78.712 + "question": "At what point in the video does \"A man in an all-black outfit taps a card on the turnstile gate near the railing and walks through it.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_10", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in black clothes is walking through the turnstile gate in the middle without tapping a card on the gate.\" take place? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "At what time in the video does \"A man in black clothes is walking through the turnstile gate in the middle without tapping a card on the gate.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_11", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a blue jacket is walking through the turnstile gate closest to the wall without tapping a card on the gate.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "When does \"A man in a blue jacket is walking through the turnstile gate closest to the wall without tapping a card on the gate.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_12", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a green T-shirt is walking through the turnstile gate closest to the wall without tapping a card on the gate.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 78.712 + "question": "When does \"A man in a green T-shirt is walking through the turnstile gate closest to the wall without tapping a card on the gate.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_13", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in black clothes is walking through the turnstile gate in the middle without tapping a card on the gate.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 78.712 + "question": "At what time in the video does \"A man in black clothes is walking through the turnstile gate in the middle without tapping a card on the gate.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_1", "question_id": "GX010030_Clip_1_14", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater walks through the turnstile gate in the middle without tapping a card on the gate.\" take place? Provide a response using only start and end timestamps.", - "duration": 78.712 + "question": "At what time in the video does \"A man in a white sweater walks through the turnstile gate in the middle without tapping a card on the gate.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black T-shirt enters the frame and walks through a turnstile gate.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "When is \"A man in a black T-shirt enters the frame and walks through a turnstile gate.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man with a backpack enters the frame and walks through a turnstile gate.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A man with a backpack enters the frame and walks through a turnstile gate.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black jacket holding a piece of paper enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When is \"A man in a black jacket holding a piece of paper enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in an all black attire enters the frame and walks through a turnstile gate.\" happen? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "At what point in the video does \"A man in an all black attire enters the frame and walks through a turnstile gate.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A person in a gray jacket walks down a staircase and exits the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When does \"A person in a gray jacket walks down a staircase and exits the frame.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in an orange sweater enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When is \"A man in an orange sweater enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A person with long hair wearing an all black attire enters the frame and walks through a turnstile gate.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "When is \"A person with long hair wearing an all black attire enters the frame and walks through a turnstile gate.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Three people are walking down a staircase and then walk out of the frame.\" happen? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "At what point in the video does \"Three people are walking down a staircase and then walk out of the frame.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A woman holding a laptop enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When is \"A woman holding a laptop enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a light blue shirt enters the frame and walks through a turnstile gate.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "At what point in the video does \"A man in a light blue shirt enters the frame and walks through a turnstile gate.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_10", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a green T-shirt enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When is \"A man in a green T-shirt enters the frame and walks through a turnstile gate.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010012_Clip_2", "question_id": "GX010012_Clip_2_11", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater enters the frame and walks through a turnstile gate.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "When is \"A man in a white sweater enters the frame and walks through a turnstile gate.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The man in a blue-black-gray T-shirt holding a box moves out of the turnstile gate.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"The man in a blue-black-gray T-shirt holding a box moves out of the turnstile gate.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The man in a blue-black-gray T-shirt walks to the turnstile gate, swings his hand in front of the device, and the man pushing a cart walks through the turnstile gate.\" happen? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"The man in a blue-black-gray T-shirt walks to the turnstile gate, swings his hand in front of the device, and the man pushing a cart walks through the turnstile gate.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"The man in a black outfit enters the frame and hovers his hand over the turnstile gate, but the man pushing the cart fails to walk through the turnstile gate.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "At what point in the video does \"The man in a black outfit enters the frame and hovers his hand over the turnstile gate, but the man pushing the cart fails to walk through the turnstile gate.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man pushing a cart with many objects walks towards the smart space and stops near the middle turnstile gate.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man pushing a cart with many objects walks towards the smart space and stops near the middle turnstile gate.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"The man in the black outfit tailgates through the turnstile gate without tapping the card.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "When is \"The man in the black outfit tailgates through the turnstile gate without tapping the card.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"The man wearing a blue-gray-black T-shirt taps the card reader and walks through the turnstile gate.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When does \"The man wearing a blue-gray-black T-shirt taps the card reader and walks through the turnstile gate.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a black outfit holding a box walks towards the turnstile gate and taps the card to open it, but fails.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 79.1124 + "question": "When does \"A man wearing a black outfit holding a box walks towards the turnstile gate and taps the card to open it, but fails.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man pushing a cart with objects on it walks through the smart space.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 79.1124 + "question": "When does \"A man pushing a cart with objects on it walks through the smart space.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010014_Clip_1", "question_id": "GX010014_Clip_1_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in black attire holding a box walks through the smart space.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.1124 + "question": "At what point in the video does \"A man in black attire holding a box walks through the smart space.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_9", "question_id": "GX010011_Clip_9_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in blue jacket taps a card on the card reader and enters the room.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 39.0724 + "question": "When does \"A man in blue jacket taps a card on the card reader and enters the room.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010011_Clip_9", "question_id": "GX010011_Clip_9_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in an orange sweater taps a card on the card reader, opens the door, and walks inside the room.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 39.0724 + "question": "At what time in the video does \"A man in an orange sweater taps a card on the card reader, opens the door, and walks inside the room.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_9", "question_id": "GX010011_Clip_9_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Another man in black attire tailgates and walks inside the room without tapping a card on the card reader.\" happen? Answer the question only using start and end timestamps.", - "duration": 39.0724 + "question": "At what point in the video does \"Another man in black attire tailgates and walks inside the room without tapping a card on the card reader.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010011_Clip_9", "question_id": "GX010011_Clip_9_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in black attire taps the card on the card reader and walks through the door.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 39.0724 + "question": "At what point in the video does \"A man in black attire taps the card on the card reader and walks through the door.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010011_Clip_9", "question_id": "GX010011_Clip_9_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater taps the card on the card reader, opens the door, and walks through the door.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 39.0724 + "question": "When does \"A man in a white sweater taps the card on the card reader, opens the door, and walks through the door.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "vqa_172a5f65d7", "question_id": "vqa_172a5f65d7.mp4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a red striped shirt tailgates through the door without scanning the card, right behind the man in a gray shirt, and closes the door.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 14.5385 + "question": "When does \"A man wearing a red striped shirt tailgates through the door without scanning the card, right behind the man in a gray shirt, and closes the door.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "vqa_172a5f65d7", "question_id": "vqa_172a5f65d7.mp4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a gray shirt scans a card on a cad scanner and walks through the door.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 14.5385 + "question": "When does \"A man in a gray shirt scans a card on a cad scanner and walks through the door.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_11", "question_id": "GX010029_Clip_11_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater, holding an object, walks toward a door at the end, opens it, and walks out through the door.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 30.0634 + "question": "When does \"A man in a white sweater, holding an object, walks toward a door at the end, opens it, and walks out through the door.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_11", "question_id": "GX010029_Clip_11_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in black attire exits a side door, closes it, and walks away while pushing a black trolley with a silver handle.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 30.0634 + "question": "When is \"A man in black attire exits a side door, closes it, and walks away while pushing a black trolley with a silver handle.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_11", "question_id": "GX010029_Clip_11_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater enters a corridor through a door at the end, walks in, and exits the frame while carrying a silver object.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 30.0634 + "question": "When does \"A man in a white sweater enters a corridor through a door at the end, walks in, and exits the frame while carrying a silver object.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_3", "question_id": "GX010029_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man walks toward a side door, taps the card on the card reader system beside the door, opens the door, and walks inside.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what point in the video does \"A man walks toward a side door, taps the card on the card reader system beside the door, opens the door, and walks inside.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_3", "question_id": "GX010029_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"Four men sequentially walk toward the open door and walk through it.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "When does \"Four men sequentially walk toward the open door and walk through it.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_6", "question_id": "GX010013_Clip_6_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in the black outfit holding a cup in his hand walks out of the frame.\" happen? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "At what point in the video does \"A man in the black outfit holding a cup in his hand walks out of the frame.\" happen? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_6", "question_id": "GX010013_Clip_6_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man enters the frame pushing a blue trolley with cleaning objects in it.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 18.0514 + "question": "When does \"A man enters the frame pushing a blue trolley with cleaning objects in it.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010013_Clip_6", "question_id": "GX010013_Clip_6_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man carrying a backpack passes by from behind the man in a black shirt and walks toward a turnstile gate.\" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man carrying a backpack passes by from behind the man in a black shirt and walks toward a turnstile gate.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_6", "question_id": "GX010013_Clip_6_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black shirt approaches a man in a white shirt and slightly pushes him. Then he walks back to the initial position.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "When does \"A man in a black shirt approaches a man in a white shirt and slightly pushes him. Then he walks back to the initial position.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010013_Clip_6", "question_id": "GX010013_Clip_6_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white shirt slightly pushes a man in a black shirt and then walks backward.\" take place? Provide a response using only start and end timestamps.", - "duration": 18.0514 + "question": "At what time in the video does \"A man in a white shirt slightly pushes a man in a black shirt and then walks backward.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_4", "question_id": "GX010029_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater holding a box, walks toward a door opened by another man and enters it.\" take place? Answer the question only using start and end timestamps.", - "duration": 33.0664 + "question": "At what time in the video does \"A man in a white sweater holding a box, walks toward a door opened by another man and enters it.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_4", "question_id": "GX010029_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black outfit holding two boxes walks toward a door opened by another man in a black shirt and enters it.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 33.0664 + "question": "When is \"A man in a black outfit holding two boxes walks toward a door opened by another man in a black shirt and enters it.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_4", "question_id": "GX010029_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black shirt walks toward a door, taps a card on the card reader next to the door, and then opens it.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 33.0664 + "question": "When does \"A man in a black shirt walks toward a door, taps a card on the card reader next to the door, and then opens it.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a gray T-shirt can be seen walking through a smart space without tapping a card while holding papers.\" take place? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "At what time in the video does \"A man wearing a gray T-shirt can be seen walking through a smart space without tapping a card while holding papers.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man carrying a bag can be seen walking through a smart space without tapping a card.\" happen? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "At what point in the video does \"A man carrying a bag can be seen walking through a smart space without tapping a card.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a black jacket can be seen walking through a smart space without tapping a card while holding papers.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When does \"A man wearing a black jacket can be seen walking through a smart space without tapping a card while holding papers.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a black hoodie can be seen walking through a smart space without tapping a card.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "When does \"A man wearing a black hoodie can be seen walking through a smart space without tapping a card.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a brown shirt can be seen walking through a smart space without tapping a card.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A man wearing a brown shirt can be seen walking through a smart space without tapping a card.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A woman wearing a black blazer can be seen walking through a smart space without tapping a card.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A woman wearing a black blazer can be seen walking through a smart space without tapping a card.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A woman wearing a blue top can be seen walking through a smart space without tapping a card.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A woman wearing a blue top can be seen walking through a smart space without tapping a card.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man wearing a denim jacket can be seen walking through a smart space without tapping a card.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "When does \"A man wearing a denim jacket can be seen walking through a smart space without tapping a card.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_8", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a green t-shirt can be seen walking through a smart space without tapping a card.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 59.3927 + "question": "When is \"A man wearing a green t-shirt can be seen walking through a smart space without tapping a card.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010070_Clip_2", "question_id": "GX010070_Clip_2_9", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A person wearing a white sweater can be seen walking through a smart space without tapping a card.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 59.3927 + "question": "At what point in the video does \"A person wearing a white sweater can be seen walking through a smart space without tapping a card.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_5", "question_id": "GX010069_Clip_5_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater moves out of a room while holding a brown box, walks away, and closes the door behind him.\" happen in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 25.0584 + "question": "When does \"A man in a white sweater moves out of a room while holding a brown box, walks away, and closes the door behind him.\" happen in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010069_Clip_5", "question_id": "GX010069_Clip_5_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit moves out of the door and walks away while holding a small brown box.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 25.0584 + "question": "When does \"A man in a black outfit moves out of the door and walks away while holding a small brown box.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_5", "question_id": "GX010069_Clip_5_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a black outfit moves out of the door and walks away while holding a large brown box.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 25.0584 + "question": "When does \"A man in a black outfit moves out of the door and walks away while holding a large brown box.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Three individuals, two dressed in black and one dressed in orange tailgate a woman in a blue sweater and walk through an access control gate without scanning their cards.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "When is \"Three individuals, two dressed in black and one dressed in orange tailgate a woman in a blue sweater and walk through an access control gate without scanning their cards.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A woman in a blue sweater enters the frame, scans a card at the access control gate, and passes through.\" happen in the video? Answer the question only using start and end timestamps.", - "duration": 79.2458 + "question": "When does \"A woman in a blue sweater enters the frame, scans a card at the access control gate, and passes through.\" happen in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two men tailgate a man in a gray jacket and walk through the access control gate without scanning their cards.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "At what point in the video does \"Two men tailgate a man in a gray jacket and walk through the access control gate without scanning their cards.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a gray jacket scans a card at the access control gate and walks through it.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "At what time in the video does \"A man in a gray jacket scans a card at the access control gate and walks through it.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in an olive green T-shirt follows after a man in a white sweater and walks through an access control gate without scanning his card.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 79.2458 + "question": "At what time in the video does \"A man in an olive green T-shirt follows after a man in a white sweater and walks through an access control gate without scanning his card.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man walks forward, scans a card at an access control gate, and stalls at the gate before walking through.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "At what point in the video does \"A man walks forward, scans a card at an access control gate, and stalls at the gate before walking through.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_6", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A woman in a black outfit walks while pushing a utility cart and then exits the frame.\" happen? Provide a response using only start and end timestamps.", - "duration": 79.2458 + "question": "At what point in the video does \"A woman in a black outfit walks while pushing a utility cart and then exits the frame.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010030_Clip_3", "question_id": "GX010030_Clip_3_7", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man scans a card at an access control gate and walks through as it opens.\" take place? Answer the question only using start and end timestamps.", - "duration": 79.2458 + "question": "At what time in the video does \"A man scans a card at an access control gate and walks through as it opens.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_2", "question_id": "GX010069_Clip_2_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man in a white sweater opens a white door and walks through it as it closes behind him.\" happen? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "At what point in the video does \"A man in a white sweater opens a white door and walks through it as it closes behind him.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_2", "question_id": "GX010069_Clip_2_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in a white sweater exits through the doorway, turns to his right, and walks toward a white door at the end of the hallway.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "When does \"A man in a white sweater exits through the doorway, turns to his right, and walks toward a white door at the end of the hallway.\" happen in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_2", "question_id": "GX010069_Clip_2_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man wearing a backpack opens a white door and walks through it as it closes behind him.\" take place? Answer the question only using start and end timestamps.", - "duration": 37.0704 + "question": "At what time in the video does \"A man wearing a backpack opens a white door and walks through it as it closes behind him.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010069_Clip_2", "question_id": "GX010069_Clip_2_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man wearing a backpack exits through the doorway, turns to his right, and walks toward a white door at the end of the hallway.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "When is \"A man wearing a backpack exits through the doorway, turns to his right, and walks toward a white door at the end of the hallway.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_2", "question_id": "GX010069_Clip_2_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Ten individuals step out from a doorway, turn to their left, and walk through a narrow hallway one after the other before exiting the frame.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 37.0704 + "question": "When is \"Ten individuals step out from a doorway, turn to their left, and walk through a narrow hallway one after the other before exiting the frame.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010069_Clip_2", "question_id": "GX010069_Clip_2_5", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in an olive green T-shirt steps out from a doorway, turns to his left, walks through a narrow hallway, and exits the frame.\" take place? Answer the question only using start and end timestamps.", - "duration": 37.0704 + "question": "At what time in the video does \"A man in an olive green T-shirt steps out from a doorway, turns to his left, walks through a narrow hallway, and exits the frame.\" take place? Answer the question only using start and end timestamps." }, { "vid": "GX010071_Clip_4", "question_id": "GX010071_Clip_4_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A person in black pants walks down the stairs, walks forward, and exits the frame.\" take place? Provide a response using only start and end timestamps.", - "duration": 28.6953 + "question": "At what time in the video does \"A person in black pants walks down the stairs, walks forward, and exits the frame.\" take place? Provide a response using only start and end timestamps." }, { "vid": "GX010071_Clip_4", "question_id": "GX010071_Clip_4_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"Several people are walking forward into different directions and exiting the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively.", - "duration": 28.6953 + "question": "When is \"Several people are walking forward into different directions and exiting the frame.\" depicted in the video? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010071_Clip_4", "question_id": "GX010071_Clip_4_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a white sweater turns around, walks forward, and exits the frame.\" depicted in the video? Provide a response using only start and end timestamps.", - "duration": 28.6953 + "question": "When is \"A man in a white sweater turns around, walks forward, and exits the frame.\" depicted in the video? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_6", "question_id": "GX010029_Clip_6_0", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"A man walks out of a doorway, turns to his left, and walks out of the frame as the door shuts behind him.\" happen? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what point in the video does \"A man walks out of a doorway, turns to his left, and walks out of the frame as the door shuts behind him.\" happen? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_6", "question_id": "GX010029_Clip_6_1", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what point in the video does \"Two men walk out of an open door at the far end of the corridor, walk forward, and exit the frame.\" happen? Provide a response using only start and end timestamps.", - "duration": 35.0684 + "question": "At what point in the video does \"Two men walk out of an open door at the far end of the corridor, walk forward, and exit the frame.\" happen? Provide a response using only start and end timestamps." }, { "vid": "GX010029_Clip_6", "question_id": "GX010029_Clip_6_2", - "industry": "", - "event_type": "", - "task_type": "", - "question": "At what time in the video does \"A man in a white sweater opens the door at the far end of the corridor, walks forward, and walks through the open door on his left without tapping a card on the scanner beside the door.\" take place? Convey your answer using start and end timestamps exclusively.", - "duration": 35.0684 + "question": "At what time in the video does \"A man in a white sweater opens the door at the far end of the corridor, walks forward, and walks through the open door on his left without tapping a card on the scanner beside the door.\" take place? Convey your answer using start and end timestamps exclusively." }, { "vid": "GX010029_Clip_6", "question_id": "GX010029_Clip_6_3", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When is \"A man in a black outfit walks toward a door, stops, and walks through the doorway, following a man in an orange sweater without tapping a card on the scanner beside the door.\" depicted in the video? Answer the question only using start and end timestamps.", - "duration": 35.0684 + "question": "When is \"A man in a black outfit walks toward a door, stops, and walks through the doorway, following a man in an orange sweater without tapping a card on the scanner beside the door.\" depicted in the video? Answer the question only using start and end timestamps." }, { "vid": "GX010029_Clip_6", "question_id": "GX010029_Clip_6_4", - "industry": "", - "event_type": "", - "task_type": "", - "question": "When does \"A man in an orange sweater walks toward a door, taps a card on the card reader beside the door, opens the door, and walks inside.\" happen in the video? Provide a response using only start and end timestamps.", - "duration": 35.0684 + "question": "When does \"A man in an orange sweater walks toward a door, taps a card on the card reader beside the door, opens the door, and walks inside.\" happen in the video? Provide a response using only start and end timestamps." } ] diff --git a/data/vqa/data_jsons/annotations/Metropolis_VQA_Verification_Final_ITS_Data.json b/data/vqa/data_jsons/annotations/VANTAGE_VQA_Verification_Final_ITS_Data.json similarity index 56% rename from data/vqa/data_jsons/annotations/Metropolis_VQA_Verification_Final_ITS_Data.json rename to data/vqa/data_jsons/annotations/VANTAGE_VQA_Verification_Final_ITS_Data.json index ab7f1498979fa2abf4420332a6cb944ee23964ac..215fd83f6c7d16aa069d11efdd6f429817d3fb2d 100644 --- a/data/vqa/data_jsons/annotations/Metropolis_VQA_Verification_Final_ITS_Data.json +++ b/data/vqa/data_jsons/annotations/VANTAGE_VQA_Verification_Final_ITS_Data.json @@ -1,8893 +1,5232 @@ [ { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Counting problems", "question": "How many lanes have a 'Crossroad Ahead' marking on them?", "options": [ "A: None", "B: One", "C: Two", "D: Three" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Object recognition", "question": "What type of vehicle bumps into a sedan in the segment?", "options": [ "A: SUV", "B: Sedan", "C: Truck", "D: Hatchback" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Action Recognition", "question": "Which action is not present in the segment?", "options": [ "A: Two cars move on the oncoming lanes.", "B: Two cars stop at the intersection.", "C: A car bumps into another car.", "D: A car makes a lane change." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv3.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "What is the anomaly in the segment?", "options": [ "A: A car makes an improper lane change.", "B: A car bumps into another car.", "C: A car drives away after the collision.", "D: A car takes a wrong turn." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 33.333333, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "Which vehicle shows abnormal behavior at the intersection?", "options": [ "A: The yellow car", "B: The blue car", "C: Both cars", "D: Neither car" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 33.333333, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "Which car exits the frame?", "options": [ "A: The blue car", "B: The yellow car", "C: Both cars", "D: Neither car" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 33.333333, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "Which car stops at the intersection?", "options": [ "A: Neither car", "B: Both cars", "C: The yellow car", "D: The blue car" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Infrastructure", - "start_time": 0, - "end_time": 33.333333, - "video_duration": 16.666667, - "task_type": "Spatial perception", "question": "What type of road is displayed in the video?", "options": [ "A: Expressway", "B: Rural", "C: Urban", "D: Highway" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 33.333333, - "video_duration": 16.666667, - "task_type": "Action Recognition", "question": "The blue car enters from which side of the frame?", "options": [ "A: Bottom ", "B: Top", "C: Left ", "D: Right" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "What is the color of the vehicle mainly responsible for the accident?", "options": [ "A: Yellow ", "B: Green", "C: White", "D: Red" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Causality", "question": "What caused the vehicle to stop suddenly at intersection area? ", "options": [ "A: It stops because the signal turns red", "B: It met an accident with the other vehicle", "C: It stops to let the pedestrian cross", "D: It stops to allow other lane vehicles to cross" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "How many vehicles are driving in a wrong direction", "options": [ "A: 4", "B: 3", "C: 2", "D: 1" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Weather conditions", "question": "Under what weather condition the incident in the scene occur?", "options": [ "A: During low light ", "B: During foggy conditions", "C: During a sunny day", "D: During windy conditions" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Temporal perception", "question": "In which lane are the vehicles moving in in the scene?", "options": [ "A: First incoming lane from top side of the frame", "B: Second incoming lane from top side of the frame", "C: Third outgoing lane from top side of the frame ", "D: Fourth outgoing lane from top side of the frame" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "Where does collision occur in the scene?", "options": [ "A: At the entrance of outgoing lane.", "B: At the intersection point.", "C: At the exit of a narrow road.", "D: At the entrance of the incoming lane." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_32___cctv1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Reasoning", "question": "How is the vehicle violating traffic rules?", "options": [ "A: Because it is crossing when the traffic signal is red", "B: Because it does not yield to oncoming traffic.", "C: Because it is turning in a wrong lane direction", "D: Because it stops in the middle of the main driving lane." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Weather conditions", "question": "What's the weather in the scene?", "options": [ "A: snowy", "B: sunny", "C: rainy", "D: dark" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "Between which two kinds of cars does the collision happen?", "options": [ "A: sedan and suv", "B: truck and suv", "C: sedan and truck", "D: bus and truck" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_04___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Counting problems", "question": "How many cars are present in the scene?", "options": [ "A: 2", "B: 3", "C: 1", "D: 4" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f3a362c76a.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "The black sedan approaches the intersection through which lane?", "options": [ "A: First", "B: Fourth ", "C: Third", "D: Second" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f3a362c76a.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Causality", "question": "What action is being performed by the two vehicles, and what is the outcome of their interaction?", "options": [ "A: The bus overtakes the sedan, and both continue driving", "B: The sedan stops, and the bus waits behind it", "C: The bus hits the sedan at the intersection and pushes it out of the frame", "D: Both vehicles stop before the intersection" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f3a362c76a.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Weather conditions", "question": "What weather condition are the vehicles driving in?", "options": [ "A: Sunny and clear", "B: Rainy", "C: Foggy", "D: Snowy" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___High-View___Sample1___cctv_2_0.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Weather conditions", "question": "What weather conditions are the vehicles driving in?", "options": [ "A: Sunny", "B: Cloudy", "C: Snowy", "D: Rainy" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___High-View___Sample1___cctv_2_0.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "What is the color of the car that stops before the stop line?", "options": [ "A: Red", "B: Blue", "C: Yellow", "D: Orange" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___High-View___Sample1___cctv_2_0.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Counting problems", "question": "How many cars enter from the left side of the frame and drive in the ongoing lane?", "options": [ "A: One", "B: Two", "C: Three", "D: Four" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Action Recognition", "question": "How does the green car violate traffic rules?", "options": [ "A: It is moving in the wrong lane.", "B: It takes a U-turn where no U-turn boat is present.", "C: Over speeding.", "D: Crossing the intersection even when the signal is red. " - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "What is the color of the car entering from the right frame?", "options": [ "A: Yellow", "B: Green", "C: Blue", "D: Golden" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Reasoning", "question": "Why does the golden car take a curved turn?", "options": [ "A: The turning path is curvilinear.", "B: After the collision, it loses control and turns left due to the force of the collision. The force leads to the curved turn.", "C: There is a round about. ", "D: The car wanted to get into the 4th lane from the left of the frame. " - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Counting problems", "question": "How many car enters from the left of the frame?", "options": [ "A: 7", "B: 8", "C: 1", "D: 2" - ], - "dimension": "" + ] }, { "q_uid": "vqa_d5d05c1a0e.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Object recognition", "question": "Which two vehicles are involved in a collision?", "options": [ "A: Yellow bus and black sedan", "B: Green SUV and white sedan", "C: Red pickup truck and yellow sedan", "D: Yellow bus and blue SUV" - ], - "dimension": "" + ] }, { "q_uid": "vqa_d5d05c1a0e.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "In which lane does the black sedan approach the intersection?", "options": [ "A: Sixth oncoming lane from the left side of the frame", "B: Fifth oncoming lane from the left side of the frame", "C: Second ongoing lane from the left side of the frame", "D: First right-turning lane from the left side of the frame" - ], - "dimension": "" + ] }, { "q_uid": "vqa_d5d05c1a0e.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Action Recognition", "question": "What action is being performed by the two vehicles, and what is the outcome of their interaction?", "options": [ "A: The bus is signaling for a lane change and the black sedan is accelerating to pass it, avoiding contact.\n", "B: The bus makes contact with the black sedan and continues to propel it forward, pushing the car.\n", "C: This black sedan is attempting to brake behind the bus, resulting in a near miss but no collision.\n", "D: Both vehicles are simultaneously reversing into each other, leading to a minor fender bender." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Counting problems", "question": "How many vehicles crashing into each other?", "options": [ "A: 5", "B: 3", "C: 1", "D: 2" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Spatial perception", "question": "The golden car entering from the bottom of the frame eventually turns to which side?", "options": [ "A: left", "B: right", "C: Does not turns.", "D: U-turn" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "What anomaly is seen in the video?", "options": [ "A: Three cars crashes into each other.", "B: One of the car is in the wrong lane.", "C: Two cars crashes into each other.", "D: The indicator of the yellow car is on even when it's taking no turns. " - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "What is the color of the car that travels for a longer time than the others?", "options": [ "A: gray", "B: silver", "C: yellow", "D: golden" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_10___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Weather conditions", "question": "What is the weather condition of the scene being captured?", "options": [ "A: Sunny", "B: Snowy", "C: Rainy", "D: Foggy" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f57655b7fe.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 7.1, - "end_time": 24.492, - "video_duration": 30.791, - "task_type": "Anomaly Detection", "question": "How many vehicles are moving in the wrong direction?", "options": [ "A: One truck and a car.", "B: Two cars", "C: One car", "D: Two trucks" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f57655b7fe.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0.2, - "end_time": 30.092, - "video_duration": 30.791, - "task_type": "Counting problems", "question": "How many trucks are driving on the roads?", "options": [ "A: Two trucks", "B: One truck", "C: Five trucks", "D: Three trucks" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f57655b7fe.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0.9, - "end_time": 30.592, - "video_duration": 30.791, - "task_type": "Counting problems", "question": "How many vehicles enter from the left side of the frame and exit from the right side of the frame while driving in the right turning lane?", "options": [ "A: One car", "B: Two cars and a truck", "C: Three cars and a pickup truck", "D: Four cars" - ], - "dimension": "" + ] }, { "q_uid": "vqa_f57655b7fe.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0.209463, - "end_time": 30.581537, - "video_duration": 30.791, - "task_type": "Spatial perception", "question": "Which lane, out of the incoming and ongoing lanes, has more vehicles driving through it?", "options": [ "A: Both lanes are equally crowded.", "B: The incoming lane has more vehicles.", "C: The ongoing lane has more vehicles.", "D: No vehicles are driving from either of the incoming or ongoing lanes." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "Which color vehicle got hit by another vehicle in the scene?", "options": [ "A: Red ", "B: Teal blue", "C: Yellow", "D: Orange" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "Why did the vehicles in the scene collide?", "options": [ "A: Because vehicles were trying to cross the intersection at the same time. ", "B: Because one vehicle is turning in the wrong direction", "C: Because the visibility at the intersection is low due to environmental factors.", "D: Because the turning was too crowded." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Spatial perception", "question": "In which lane does the event occur in the scene?", "options": [ "A: Second lane from the left side of the frame", "B: Third lane from the left side of the frame", "C: Fourth lane from the left side of the frame", "D: Fifth lane from the left side of the frame." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Counting problems", "question": "How many lane are present at the intersection?", "options": [ "A: 6", "B: 5", "C: 3", "D: 7" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9873782b13.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "Where do two vehicles collide with each other?", "options": [ "A: Intersection", "B: First Lane", "C: Second Lane", "D: Third Lane" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9873782b13.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Object recognition", "question": "Which vehicles collide with each other?", "options": [ "A: Bicycle and Truck", "B: Hatchback and Bike", "C: SUV and Sedan", "D: Bus and Sedan" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9873782b13.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Scene perception", "question": "What type of road is displayed in the video?", "options": [ "A: Highway on-ramp", "B: Rural two-way road", "C: Urban multi-lane intersection", "D: Residential street" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9873782b13.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Action Recognition", "question": "Which turn does the yellow bus take?", "options": [ "A: Right Turn", "B: Left Turn", "C: U-Turn", "D: Three-Point Turn" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9873782b13.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "In which direction does the yellow bus hit the sedan and push it out of the frame?", "options": [ "A: Top", "B: Right", "C: Bottom", "D: Left" - ], - "dimension": "" + ] }, { "q_uid": "vqa_55879e3454.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Anomaly Detection", "question": "Which two vehicles are involved in the accident in the scene?", "options": [ "A: bus and car", "B: truck and bus", "C: car and truck", "D: none of the above" - ], - "dimension": "" + ] }, { "q_uid": "vqa_55879e3454.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "OCR problems", "question": "How many traffic signals are present in the scene?", "options": [ "A: 4", "B: 5", "C: 2", "D: 3" - ], - "dimension": "" + ] }, { "q_uid": "vqa_55879e3454.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Anomaly Detection", "question": "Which turn does the bus take and hit the car?", "options": [ "A: left", "B: right", "C: u-turn", "D: none" - ], - "dimension": "" + ] }, { "q_uid": "vqa_55879e3454.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Weather conditions", "question": "What is the weather in the video?", "options": [ "A: sunny", "B: foggy", "C: rainy", "D: snowy" - ], - "dimension": "" + ] }, { "q_uid": "vqa_55879e3454.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "OCR problems", "question": "How many vehicles are there in the video?", "options": [ "A: 3", "B: 2", "C: 1", "D: 4" - ], - "dimension": "" + ] }, { "q_uid": "vqa_55879e3454.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "OCR problems", "question": "Which colors do the four traffic signals depict in the video?", "options": [ "A: red and green", "B: green and yellow", "C: yellow and red", "D: red" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_5.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0.1, - "end_time": 12.264067, - "video_duration": 12.264067, - "task_type": "OCR problems", "question": "What text is written at the top of the frame in the video segment?", "options": [ "A: AURORA AVE AND WARD SOUTH", "B: AURORA AVE AND WARD NORTH", "C: AURORA AVE AND WARD EAST", "D: AURORA AVE AND WARD WEST" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_5.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0.073869, - "end_time": 12.264067, - "video_duration": 12.264067, - "task_type": "Spatial perception", "question": "Which lane is experiencing the heaviest traffic in the video segment?", "options": [ "A: First lane from the left", "B: Second lane from the left", "C: Fourth lane from the left", "D: Fifth lane from the left" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_5.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0.004345, - "end_time": 12.264067, - "video_duration": 12.264067, - "task_type": "Anomaly Detection", "question": "What anomaly is observed in the video segment?", "options": [ "A: A white car collides with another white car from back", "B: A white car collides with a red car from front", "C: A silver car collides with a red car from left side", "D: A silver car collides with a green car from right side" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_5.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0.050694, - "end_time": 12.264067, - "video_duration": 12.264067, - "task_type": "Scene perception", "question": "Which type of intersection is displayed in the video?", "options": [ "A: Four-way intersection", "B: Two-way intersection", "C: T-intersection", "D: Y-intersection" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_5.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0.02752, - "end_time": 12.264067, - "video_duration": 12.264067, - "task_type": "Scene perception", "question": "What type of road is displayed in the video?", "options": [ "A: Urban road", "B: Rural road", "C: Highway ", "D: Flyover" - ], - "dimension": "" + ] }, { "q_uid": "temporal_db83baf8ea.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Action Recognition", "question": "The yellow bus takes which turn?", "options": [ "A: Left Turn", "B: Right Turn", "C: U-Turn", "D: Three-point Turn" - ], - "dimension": "" + ] }, { "q_uid": "temporal_db83baf8ea.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "The yellow bus moves forward from which lane?", "options": [ "A: Fifth Lane", "B: Sixth Lane", "C: Third Lane", "D: Second Lane" - ], - "dimension": "" + ] }, { "q_uid": "temporal_db83baf8ea.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Counting problems", "question": "How many vehicles collide with each other?", "options": [ "A: 1", "B: 3", "C: 2", "D: 4" - ], - "dimension": "" + ] }, { "q_uid": "temporal_db83baf8ea.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "The black sedan enters from which side of the frame?", "options": [ "A: Top", "B: Right", "C: Left", "D: Bottom" - ], - "dimension": "" + ] }, { "q_uid": "temporal_db83baf8ea.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Weather conditions", "question": "What weather conditions are the vehicles driving in?", "options": [ "A: Sunny and clear", "B: Foggy", "C: Rainy", "D: Snowy" - ], - "dimension": "" + ] }, { "q_uid": "vqa_ef78258f54.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0, - "end_time": 35.801, - "video_duration": 35.801, - "task_type": "Spatial perception", "question": "Which lane is most crowded?", "options": [ "A: First incoming lane from the left side of the frame", "B: Second incoming lane from the left side of the frame", "C: Third outgoing lane from the left side of the frame", "D: Fourth outgoing lane from the left side of the frame" - ], - "dimension": "" + ] }, { "q_uid": "vqa_ef78258f54.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0, - "end_time": 35.801, - "video_duration": 35.801, - "task_type": "Attribute perception", "question": "Which type of vehicle is stalled adjacent to median?", "options": [ "A: A white box truck", "B: A black car ", "C: A red pick-up truck", "D: A gray Sedan" - ], - "dimension": "" + ] }, { "q_uid": "vqa_ef78258f54.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0, - "end_time": 29.401, - "video_duration": 35.801, - "task_type": "Anomaly Detection", "question": "What is the color of the vehicle moving in wrong direction?", "options": [ "A: Red", "B: White", "C: Black", "D: Blue" - ], - "dimension": "" + ] }, { "q_uid": "vqa_ef78258f54.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0.6, - "end_time": 35.801, - "video_duration": 35.801, - "task_type": "Attribute perception", "question": "How many white box truck are moving on the road?", "options": [ "A: 4", "B: 3", "C: 2", "D: 1" - ], - "dimension": "" + ] }, { "q_uid": "vqa_ef78258f54.json", - "industry": "Transportation_real", - "event_type": "Other", - "start_time": 0, - "end_time": 14.9, - "video_duration": 35.801, - "task_type": "Reasoning", "question": "How does the white car violate the traffic rule?", "options": [ "A: Its indicator is not on while turning to its right", "B: It's is crossing the median ", "C: It is moving towards the wrong direction ", "D: It's is hitting the another vehicle" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Object recognition", "question": "Where is the tree present in the frame?", "options": [ "A: It is present towards the left of the frame", "B: It is not present", "C: It is present towards the right of the frame", "D: It is present towards the bottom of the frame" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Scene perception", "question": "What time of the day does the frame appear to be captured?", "options": [ "A: Daytime", "B: Nighttime", "C: Evening", "D: Early morning" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_31___cctv2.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "What type of vehicles are involved in the collision?", "options": [ "A: Two cars", "B: A truck and a bike", "C: A van and a bus.", "D: Two trucks" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_08___cctv3.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Temporal perception", "question": "Which vehicle initiates the collision among all three vehicles?", "options": [ "A: Black SUV", "B: Blue SUV", "C: White hatchback", "D: Blue hatchback" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_02___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Action Recognition", "question": "Which car exits the frame first?", "options": [ "A: Green", "B: Yellow with black top", "C: Both exit at the same time", "D: None exits" - ], - "dimension": "" + ] }, { "q_uid": "temporal_c4d36f90e9.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Attribute perception", "question": "What is the color of the vehicle that got hit without making any traffic mistake?", "options": [ "A: Black", "B: Red", "C: Green", "D: Blue" - ], - "dimension": "" + ] }, { "q_uid": "temporal_c4d36f90e9.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Object recognition", "question": "Which type of bus violates the traffic rules in the given video?", "options": [ "A: City bus", "B: Luxury bus", "C: School bus", "D: Can't say" - ], - "dimension": "" + ] }, { "q_uid": "temporal_c4d36f90e9.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Action Recognition", "question": "In which direction does the black car turn?", "options": [ "A: Right", "B: Left", "C: U-turn", "D: No turn" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 9.661523, - "video_duration": 9.661523, - "task_type": "Anomaly Detection", "question": "What is the anomaly seen in the captured scene?", "options": [ "A: A blue car suddenly slows down on the road. The car behind it tries to overtake the blue car and crashes into it.", "B: The blue car is moving in the wrong lane.", "C: The black car safely overtakes the blue car.", "D: The blue car has its indicator on." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 9.661523, - "video_duration": 9.661523, - "task_type": "Reasoning", "question": "Why does the black car crash into the blue car?", "options": [ "A: Because it keeps moving straight even though the blue car ahead slows down.", "B: It tries to merge into the other lane too late; there is already a white car there, and it is not far enough behind the blue car that has slowed down. ", "C: In the black card was in a hurry.", "D: The black car did not realize that the car in front of it stopped." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 9.661523, - "video_duration": 9.661523, - "task_type": "Attribute perception", "question": "What is the color of the vehicle which stops in the road?", "options": [ "A: Yellow", "B: Green", "C: Blue", "D: Black" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_1.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 9.661523, - "video_duration": 9.661523, - "task_type": "Counting problems", "question": "How many cars in the captured scene gets affected due to the blue car stopping?", "options": [ "A: 5", "B: 7", "C: 3", "D: 4" - ], - "dimension": "" + ] }, { "q_uid": "temporal_ebd964d644.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Object recognition", "question": "Which two vehicles are involved in a collision?", "options": [ "A: Yellow bus and black sedan", "B: Green SUV and white hatchback", "C: Red pickup truck and yellow sedan", "D: Yellow bus and blue SUV" - ], - "dimension": "" + ] }, { "q_uid": "temporal_ebd964d644.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "Where does the collision between the two vehicles occur?", "options": [ "A: On the first oncoming lane", "B: In the middle of the intersection", "C: Just before the stop line", "D: Near the pedestrian crossing" - ], - "dimension": "" + ] }, { "q_uid": "temporal_ebd964d644.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "From which lane does the bus approach the intersection, and which turn does it take?", "options": [ "A: Sixth oncoming lane from the left side of the frame; turns right", "B: Third ongoing lane from the left side of the frame; turns left", "C: Sixth left turning lane from the left side of the frame; turns left", "D: First right turning lane from the left side of the frame; turns right" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "OCR problems", "question": "What text is visible on the green street sign? ", "options": [ "A: Market street", "B: Market St", "C: Market way", "D: Market Cl" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "OCR problems", "question": "Which organization name is written on the blue board present on the building?", "options": [ "A: Boston Mutual Savings and Trust", "B: Boston Local Bank & Trust Company", "C: Boston Finance Corporation", "D: Boston Finance Trust & Local Bank." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "OCR problems", "question": "What is the likely purpose of the blue board with white text present on the building?", "options": [ "A: To advertise a restaurant.", "B: To give directions to a police station.", "C: To indicate the identity of a financial institution.", "D: To show traffic information." - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Scene perception", "question": "What road-related feature is visible on the ground in the background?", "options": [ "A: A pedestrian zebra crossing", "B: White Lane Markings", "C: Too many potholes", "D: Painted speed bump" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Scene perception", "question": "What is the road condition as seen in the background?", "options": [ "A: Wet and slippery", "B: Dry and dusty", "C: Clean and freshly painted", "D: Covered with gray tiles" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Scene perception", "question": "What kind of area is visible in the background?", "options": [ "A: A narrow residential or inner city street", "B: A crowded marketplace", "C: A highway", "D: A village road" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "What caused the collision between the two cars?", "options": [ "A: The blue car suddenly changed lanes.", "B: The yellow car reversed unexpectedly.", "C: The yellow car made a sudden left turn into the path of the blue car", "D: Both vehicles were speeding" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Attribute perception", "question": "What is the color of the vehicle that moves back after the collision?", "options": [ "A: Red", "B: Yellow", "C: Blue", "D: Black" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Spatial perception", "question": "In which direction does the green-blue car go after the accident?", "options": [ "A: It turns right", "B: It turns left", "C: It reverses back", "D: It remains in the same spot after the collision" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___DriveSIM___10_collision_scenarios___TC_30___cctv4.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 16.666667, - "video_duration": 16.666667, - "task_type": "Anomaly Detection", "question": "What major event occurred in the scene ?", "options": [ "A: The two cars collide", "B: The two cars pass through the intersection smoothly", "C: One of the car waits for the other to pass and then moves", "D: The two cars are parked near the intersection" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9efd2ba575.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "OCR problems", "question": "Which colors do the traffic signals show in the video throughout?", "options": [ "A: red and green", "B: green and yellow", "C: green", "D: yellow" - ], - "dimension": "" + ] }, { "q_uid": "temporal_9efd2ba575.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Counting problems", "question": "How many lanes are present on the top left side of the road?", "options": [ "A: 6", "B: 1", "C: 2", "D: 5" - ], - "dimension": "" + ] }, { "q_uid": "temporal_e152d8b46b.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Object recognition", "question": "Which type of vehicle got hit by the bus in the video?", "options": [ "A: SUV", "B: Sedan", "C: Hatchback", "D: Sports car" - ], - "dimension": "" + ] }, { "q_uid": "temporal_e152d8b46b.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Attribute perception", "question": "What is the color of the car that got hit?", "options": [ "A: Red", "B: Yellow", "C: Black", "D: Blue" - ], - "dimension": "" + ] }, { "q_uid": "vqa_cbd74a1c76.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Spatial perception", "question": "Where does the collision between the two vehicles occur?", "options": [ "A: On the first oncoming lane\n", "B: In the middle of the intersection\n", "C: Just before the stop line\n", "D: Near the pedestrian crossing\n" - ], - "dimension": "" + ] }, { "q_uid": "vqa_cbd74a1c76.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 11, - "video_duration": 11, - "task_type": "Object recognition", "question": "Which two vehicles are involved in a collision?", "options": [ "A: Yellow bus and black sedan", "B: Green SUV and white hatchback", "C: Red pickup truck and yellow sedan", "D: Yellow bus and blue SUV" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_6.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 15.645833, - "video_duration": 15.645833, - "task_type": "Scene perception", "question": "Which type of road is displayed in the video?", "options": [ "A: Urban road", "B: Rural road", "C: Flyover", "D: Highway" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_6.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 15.645833, - "video_duration": 15.645833, - "task_type": "Attribute perception", "question": "What is the color of the car that collides with another car in the video?", "options": [ "A: Black", "B: Silver", "C: White", "D: Blue" - ], - "dimension": "" + ] }, { "q_uid": "drivesim___Collision___Real___Collision_6.json", - "industry": "Transportation_sim", - "event_type": "Other", - "start_time": 0, - "end_time": 15.645833, - "video_duration": 15.645833, - "task_type": "OCR problems", "question": "Which of the following texts is displayed in the video?", "options": [ "A: IIDagotel.camera", "B: IIDagotel>camera", "C: IIDagotel **TL;DR** — most participants just run: +> ```bash +> hf auth login # once +> python scripts/run_lmudata.py --all --lmu-root ~/LMUData +> ``` +> Then point VLMEvalKit at that folder and run inference with `--mode infer`. +> +> Running this from a clone of the **PhysicalAI-VANTAGE-Bench dataset repo**? It +> auto-uses the local `data/` folder — see *"Where are you running this from?"*. + +--- + +## A. What this script does + +`run_lmudata.py` downloads the **public, no-ground-truth** VANTAGE-Bench dataset +from Hugging Face (`nvidia/PhysicalAI-VANTAGE-Bench`) and reshapes it into the +exact folder layout that VLMEvalKit's dataset loaders expect (called +**LMUData**). + +- ✅ It prepares data **for inference and submission generation**. +- ❌ It is **not** for local scoring. Ground-truth answers are withheld from the + public dataset; scoring happens **server-side** on the leaderboard. +- It never fabricates answers. Evaluation-only columns are simply not written. + +You run this once per machine. After it finishes, you run your model with +VLMEvalKit in `--mode infer`, which produces a **submission JSONL** you upload. + +--- + +## B. The mental model (how the pieces fit) + +``` +Hugging Face dataset repo (nvidia/PhysicalAI-VANTAGE-Bench) + │ download + ▼ +Local HF cache (~/.cache/huggingface/ — files reused) + │ run_lmudata.py reshapes + links/copies + ▼ +LMUData/ (datasets//… — what VLMEvalKit reads) + │ python run.py --mode infer + ▼ +Predictions ─► submission JSONL (upload to the leaderboard for scoring) +``` + +Key idea: the HF cache is the real local copy of the media. By **default**, your +LMUData folder *symlinks* into that cache instead of duplicating tens of GB. + +--- + +## Where are you running this from? + +This same script ships in **two** repos and picks its data source automatically. +The source is shown in the run summary as `Source: …`. + +**Source resolution priority:** +1. `--local-source PATH` (explicit) — use that local checkout's `data/` folder. +2. **Auto-local** — if the script *file itself* lives inside a valid + PhysicalAI-VANTAGE-Bench checkout (detected by walking the script's own + parent folders — **no filesystem search**). +3. **HF remote** — download from `--hf-repo` (default + `nvidia/PhysicalAI-VANTAGE-Bench`) via the HF cache. + +### A. Running from the VLMEvalKit repo (most users) + +- Default: **HF remote**. Pulls data through the HF cache. +- Nothing special to do — this is the normal path. + ```bash + python scripts/run_lmudata.py --all --lmu-root ~/LMUData + ``` + +### B. Running from the PhysicalAI-VANTAGE-Bench dataset repo + +- If you cloned the dataset repo and run its bundled copy of this script, it + **auto-detects** the repo and reads `data/` **locally** — no re-download of the + primary dataset. + ```bash + python scripts/run_lmudata.py --all --lmu-root ~/LMUData + # Source: local-auto:/path/to/PhysicalAI-VANTAGE-Bench + ``` +- ⚠️ **SOT and Grounding still need network.** The dataset repo ships the SOT + benchmark + prep script and the RefDrone prep script, but **not** the SOT + source camera videos (from `nvidia/PhysicalAI-SmartSpaces`) or the VisDrone + images. Those still download. Local mode only avoids re-fetching the primary + VANTAGE data. + +### C. Explicit local source (advanced / developer) + +```bash +python scripts/run_lmudata.py --all --lmu-root ~/LMUData \ + --local-source /path/to/PhysicalAI-VANTAGE-Bench +``` +- Takes precedence over auto-detect and `--hf-repo`. +- The checkout must be **complete and post-PR** (validated per task). + +### D. Warnings for local mode + +- **Stale / pre-PR clone fails validation.** Each task checks for its expected + post-PR paths (e.g. `data/pointing/VANTAGE_2DPointing.jsonl`, + `data/event_verification/data_jsons/annotations/`). A missing marker fails + *that task* with a clear message — it never silently serves the wrong layout. +- **Missing Git LFS files** (videos/images not pulled) will fail media checks. + Run `git lfs pull` in the clone first. +- **Symlink mode points into the clone.** In local mode the default symlinks + reference files inside your dataset clone; moving or `git clean`-ing the clone + breaks them. Use `--copy` for a portable LMUData. +- **`--hf-repo` is ignored** when a local source is active (a warning is logged). + +--- + +## C. Before you start (checklist) + +1. **Python environment** with the project installed and `huggingface_hub` + available (the repo's normal VLMEvalKit env works). If a snapshot fails with + `huggingface_hub is required`, run `pip install huggingface_hub`. +2. **Hugging Face login** (recommended): `hf auth login`. The script + auto-detects this token — you won't need to pass `--hf-token`. +3. **ffmpeg** — only needed for the **SOT** task (frame extraction). Skip if you + aren't preparing SOT. Easiest install: `conda install -c conda-forge ffmpeg`. +4. **Disk space** — symlink mode (default) needs little extra space (media stays + in the HF cache, ~40 GB there). `--copy` mode duplicates that media into + LMUData. SOT adds ~16 GB of source videos to the HF cache. +5. **Choose an LMUData location** — an absolute path you control, e.g. + `~/LMUData` or `/data/LMUData`. Pass it with `--lmu-root`. The script never + writes to the current working directory by default. + +--- + +## D. What is the HF cache? + +When `huggingface_hub` downloads files, it stores them in a local **cache**, +usually: + +``` +~/.cache/huggingface/ +``` + +(overridable with the `HF_HOME` env var or this script's `--hf-cache`). + +- Downloads are **reused**: re-running the script, or preparing another task + that shares files, won't re-download what's already cached. +- **Symlink mode (default) depends on this cache.** Your LMUData media entries + are symlinks pointing into the cache. If you delete or move the HF cache, + those symlinks break. (Fix: re-run the prep, or use `--copy`.) + +--- + +## Disk Space Requirements + +### Why disk usage varies + +How much disk you need depends mostly on the **media mode**: + +- **`--symlink` (default):** LMUData itself stays small — its media entries are + symlinks into the HF cache (or, in local mode, into your dataset clone). The + real bytes live in the cache/clone, which must **remain in place** for the + symlinks to keep working. +- **`--copy`:** LMUData contains real copied media, so it uses **more** disk but + is portable/self-contained and unaffected by HF-cache cleanup. + +Hugging Face downloads are cached locally, usually under: + +```text +~/.cache/huggingface/ +``` + +(overridable with `HF_HOME` or `--hf-cache`). Cached files are reused across +runs, so you generally download each file only once. + +### Approximate per-task disk usage + +These are **rough** estimates and may change as the dataset evolves. + +| Task | Approx. disk impact | Notes | +|---|---:|---| +| VQA | ~7–8 GB | Video files | +| Event Verification | ~1–3 GB | Referenced videos only | +| DVC | ~5–6 GB | Video files | +| Temporal Localization | ~2–5 GB | Video files | +| 2D Pointing | <1 GB | Images | +| Astro2D | <1 GB | Images + empty placeholder labels | +| 2D Grounding / RefDrone | ~300 MB retained, ~600 MB temporary | Downloads VisDrone/RefDrone image archive, extracts images, deletes zip | +| SOT | ~16 GB HF SmartSpaces cache + extracted frame outputs | Downloads source camera videos and extracts frames | + +### Total disk recommendation + +For a full `--all` run using the default symlink mode, plan for roughly: + +- ~21–22 GB for the VANTAGE HF dataset cache +- ~16 GB for the SmartSpaces/SOT source-video cache +- ~300 MB retained Grounding workdir/images +- SOT extracted frames and task metadata +- relatively small LMUData task folders because most media are symlinked + +Recommended free disk for **default symlink mode**: + +- minimum: ~50–60 GB free +- safer: ~70+ GB free + +For **`--copy` mode**: + +- LMUData contains real copied media in addition to the HF cache +- plan for roughly ~80–100 GB free +- safer on shared/HPC systems: 100+ GB free + +These figures are approximate and may shift as the benchmark grows. + +### SOT runtime note + +SOT is the slowest task to prepare. It downloads source camera videos from +SmartSpaces and uses `ffmpeg` to extract sequence frames. Depending on network +speed and storage speed, this may take a long time. It is normal for SOT +preparation to run much longer than the other tasks. + +### Check local disk usage + +```bash +df -h +du -sh ~/.cache/huggingface 2>/dev/null || true +du -sh ~/LMUData 2>/dev/null || true +``` + +### Advanced disk-space notes + +- If disk is limited, use the default symlink mode. +- If portability is important, use `--copy`. +- Do not delete the HF cache if using symlink mode, because symlinks may break. + +--- + +## E. Recommended participant command (default: symlink) + +```bash +python scripts/run_lmudata.py \ + --all \ + --lmu-root /path/to/LMUData +``` + +- `--all` prepares all eight tasks. +- Media is **symlinked** from the HF cache (disk-efficient). +- Already-prepared tasks are skipped automatically (safe to re-run). + +If you only want some tasks (e.g. skip the large SOT download): + +```bash +python scripts/run_lmudata.py \ + --tasks vqa,event_verification,dvc,temporal,pointing,astro2d,grounding \ + --lmu-root /path/to/LMUData +``` + +--- + +## F. Portable / self-contained command (copy mode) + +Use `--copy` when you want a LMUData folder with **real media files** inside it — +portable across machines, and unaffected by HF-cache cleanup: + +```bash +python scripts/run_lmudata.py \ + --all \ + --lmu-root /path/to/LMUData \ + --copy +``` + +Trade-off: this duplicates tens of GB of media into LMUData. + +--- + +## G. Dry-run (simulation, no writes) + +Preview exactly what would happen — **no downloads, no files written**, the +LMUData folder isn't even created: + +```bash +python scripts/run_lmudata.py \ + --all \ + --lmu-root /path/to/LMUData \ + --dry-run +``` + +The summary header shows the media mode (`media=symlink` by default), and each +task prints the HF files it would fetch and the paths it would write. + +--- + +## H. SOT-specific prerequisites + +SOT (single-object tracking) is the heaviest task. It downloads source camera +videos from +[`nvidia/PhysicalAI-SmartSpaces`](https://huggingface.co/datasets/nvidia/PhysicalAI-SmartSpaces) +and extracts frames. + +- **ffmpeg is required** for frame extraction. The shipped prep script has no + ffmpeg-free path. The wrapper auto-discovers ffmpeg on your `PATH` **and** in + common conda envs (`~/miniconda3/envs/*/bin`, `/opt/conda/envs/*/bin`, …) and + bridges it onto the subprocess automatically. +- **HF token is auto-detected** in this order: `--hf-token` → `HF_TOKEN` env → + the token from `hf auth login`. If you've logged in, nothing to pass. +- **Source videos:** ~16 GB pulled into the HF cache; expect a multi-minute run. +- **`gt.json` contains only the public `init_bbox`** — no hidden per-frame + trajectories. + +**If ffmpeg is missing**, you'll get a clear message with install options: +``` +conda install -c conda-forge ffmpeg # recommended; auto-detected +sudo apt-get install -y ffmpeg # Debian/Ubuntu +# or a static build from https://johnvansickle.com/ffmpeg/ +``` + +**If no token is found**, the message lists the three ways to provide one +(`hf auth login`, `HF_TOKEN`, `--hf-token`). + +--- + +## I. RefDrone / Grounding prerequisites + +The grounding task materializes 1503 VisDrone images via the shipped +`prep_refdrone_data.py`. + +| Requirement | Needed? | Notes | +|---|---|---| +| Internet access | yes | Downloads from `github.com` + `huggingface.co`. | +| GitHub HTTPS mirror | primary | Ultralytics release (~311 MB), size + SHA-256 verified. **Sufficient on its own.** | +| Google Drive / `gdown` | **optional** | Fallback only, used if the HTTPS mirror fails. Install with `pip install gdown` only then. | +| Disk | ~600 MB transient | Zip downloaded, images extracted, **zip then deleted** (~290 MB remains). | +| System packages | none | Pure-Python extraction. | + +If you already have the images staged, pass `--skip-grounding-images` to write +`annotations.json` without re-downloading. + +--- + +## J. Common troubleshooting + +- **Wrong LMUData path / VLMEvalKit can't find data.** VLMEvalKit resolves + `LMUDataRoot()` from `$LMUData` (if it points to an existing dir), else + `~/LMUData`. Make them match: + ```bash + export LMUData=/path/to/LMUData + python -c "from vlmeval.smp import LMUDataRoot; print(LMUDataRoot())" + ``` +- **Broken / dangling symlinks.** In symlink mode, deleting or moving the HF + cache breaks LMUData media links. Fix by re-running the prep, or rebuild with + `--copy` for a self-contained folder. +- **Missing ffmpeg (SOT).** Install via conda/apt (see section H). A conda-env + ffmpeg is auto-detected. +- **HF auth / token issues.** Run `hf auth login`, or `export HF_TOKEN=hf_xxx`, + or pass `--hf-token`. If a download 401/403s, confirm any required dataset + license acceptance and that your token has read access. +- **Use `--mode infer`, not `--mode all`.** These TSVs are inference-only and + omit GT columns. `--mode all` would call `evaluate()` and crash; scoring is + server-side anyway. + +--- + +## K. What gets created under LMUData + +``` +LMUData/ +└── datasets/ + ├── VANTAGE_VQA/ VANTAGE_VQA.tsv + videos/ + ├── VANTAGE_EventVerification/ VANTAGE_EventVerification.tsv + videos/ + ├── VANTAGE_DVC/ VANTAGE_DVC.tsv + videos/ + ├── VANTAGE_Temporal/ VANTAGE_Temporal.tsv + videos/ + ├── VANTAGE_2DPointing/ VANTAGE_2DPointing.tsv + images_annotated/ + ├── Astro2D/ images/ + labels/ (empty placeholders) + ├── VANTAGE_2DGrounding/ annotations.json + images/ + └── VANTAGE_SOT/ /gt.json + /frames/f0X.png +``` + +Inference-only TSV schemas (no GT columns): + +| Task | Columns | +|---|---| +| VANTAGE_VQA | `index, video, question, options` | +| VANTAGE_EventVerification | `index, video, system_prompt, question` | +| VANTAGE_DVC | `index, video, question` | +| VANTAGE_Temporal | `index, video, question` (video = bare stem, no `.mp4`) | +| VANTAGE_2DPointing | `index, question_id, image_path, question, A, B, C, D` | + +- **Astro2D `labels/*.txt` are intentionally empty** — they exist only so the + loader doesn't drop images; they contain no ground truth. +- **VANTAGE_2DGrounding `annotations.json` omits `bboxes`** — the loader takes + its no-GT branch. + +> **Note:** a `LMUData/images/` folder may appear **later** — that is a +> VLMEvalKit *runtime* artifact (frame caching / image dumping during +> inference), **not** produced by this prep script. It's safe to ignore. + +--- + +## L. Advanced options + +| Flag | Purpose | +|---|---| +| `--tasks a,b,c` | Prepare a subset. Choices: `vqa, event_verification, dvc, temporal, pointing, astro2d, grounding, sot`. | +| `--all` | Prepare all eight tasks (default if neither `--tasks` nor `--all` given). | +| `--lmu-root PATH` | Output root (absolute). Default `~/LMUData`. Never CWD. | +| `--local-source PATH` | Use a local PhysicalAI-VANTAGE-Bench checkout's `data/` instead of HF. Wins over `--hf-repo`. Auto-enabled when the script lives inside such a repo. | +| `--symlink` | **Default.** Symlink media (from the HF cache, or the local checkout in local mode). | +| `--copy` | Copy real media into LMUData (portable, self-contained; uses more disk). | +| `--force` | Rebuild the index file even if the task already looks complete; re-places missing media. | +| `--force-clean` | **Destructive.** Wipe a task's media dir before re-staging. | +| `--dry-run` | Print the plan; no HF calls, no writes. | +| `--hf-token TOKEN` | HF token. Optional — auto-detected from `HF_TOKEN` / `hf auth login`. Needed for SOT. | +| `--hf-repo REPO` | Source repo override (testing/simulation only). Production default: `nvidia/PhysicalAI-VANTAGE-Bench`. | +| `--skip-grounding-images` | For grounding: write `annotations.json` but don't download VisDrone images. | +| `--write-manifest` | Write `.vantage_prep_manifest.json` telemetry at the LMU root (off by default). | +| `--verbose` / `-v` | Debug logging (snapshot paths, per-file decisions). | + +`--symlink` and `--copy` are mutually exclusive. + +### Idempotency & safety + +- **Re-running is safe.** A task that already passes its integrity check is + **skipped** (no download, no writes) unless you pass `--force`. +- **Interrupted runs recover.** A partial task fails its integrity check, so the + next normal run rebuilds just that task. SOT resumes cheaply — already + downloaded videos and extracted frames are reused from the HF cache. +- **Non-destructive by default.** Without `--force-clean`, the script only adds + missing files and (under `--force`) overwrites the index file. It never + deletes media on its own. + +### Per-task failure isolation + +Each task runs independently. If one fails (missing source, no token, no +ffmpeg, mirror down), it's marked `failed` in the summary **and the other tasks +continue**. The process exits non-zero if any task failed, zero otherwise. + +--- + +## After preparing: run inference + +```bash +export LMUData=/path/to/LMUData +python run.py --data VANTAGE_VQA --model --mode infer +``` + +Repeat per task (or pass multiple to `--data`). Each run emits a +`*.submission.jsonl` next to the prediction file — that's what you upload. +Scoring is done server-side against the withheld ground truth. diff --git a/scripts/run_lmudata.py b/scripts/run_lmudata.py new file mode 100644 index 0000000000000000000000000000000000000000..28b98ce4e6c353592356c317b4bd0550896a6cf6 --- /dev/null +++ b/scripts/run_lmudata.py @@ -0,0 +1,1674 @@ +#!/usr/bin/env python3 +""" +run_lmudata.py — Prepare a VLMEvalKit-compatible LMUData layout from +``nvidia/PhysicalAI-VANTAGE-Bench`` (HF dataset). + +PHASE 2A implemented: + - VANTAGE_VQA, VANTAGE_EventVerification, VANTAGE_DVC, + VANTAGE_Temporal, VANTAGE_2DPointing +PHASE 2B implemented: + - Astro2D, VANTAGE_2DGrounding, VANTAGE_SOT + +The target LMUData layout per task (matched against loader expectations +in vlmeval/dataset/vantage_*.py and vlmeval/dataset/image_mcq.py): + + $LMU_ROOT/datasets/ + VANTAGE_VQA/ VANTAGE_VQA.tsv videos/*.mp4 + VANTAGE_EventVerification/ VANTAGE_EventVerification.tsv videos/*.mp4 + VANTAGE_DVC/ VANTAGE_DVC.tsv videos/*.mp4 + VANTAGE_Temporal/ VANTAGE_Temporal.tsv videos/*.mp4 + VANTAGE_2DPointing/ VANTAGE_2DPointing.tsv images_annotated/*.jpg + Astro2D/ images/.jpg labels/.txt (empty) + VANTAGE_2DGrounding/ annotations.json images/*.jpg + VANTAGE_SOT/ /gt.json /frames/f0X.png + +No GT fields are fabricated. ``answer`` is an empty string where the +public source omits it; ``duration`` falls back to 30.0; ``category`` +falls back to ``"Unknown"``. + +Runtime source: HF repo ``nvidia/PhysicalAI-VANTAGE-Bench`` +(repo_type=dataset). No local repo is read at runtime. +""" + +from __future__ import annotations + +import argparse +import csv +import datetime +import json +import logging +import os +import re +import shutil +import subprocess +import sys +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple + +# Production runtime source — DO NOT change this default. +# Override only for testing/simulation via the --hf-repo CLI flag. +HF_REPO_ID = "nvidia/PhysicalAI-VANTAGE-Bench" +HF_REPO_TYPE = "dataset" + +DEFAULT_LMU_ROOT = Path("~/LMUData").expanduser() +MANIFEST_FILENAME = ".vantage_prep_manifest.json" + +# Top-level files/dirs that mark a PhysicalAI-VANTAGE-Bench checkout. +REPO_TOP_MARKERS = ["data", "README.md", "LICENSE.md"] + +# Per-task required paths (relative to repo root) for a LOCAL source to be +# usable. These encode the post-PR layout; a stale/pre-PR clone that lacks the +# marker fails validation for that task with a clear message rather than +# silently producing wrong data. +LOCAL_TASK_MARKERS: Dict[str, List[str]] = { + "vqa": ["data/vqa/data_jsons/annotations"], + "event_verification": ["data/event_verification/data_jsons/annotations"], + "dvc": ["data/dense_captioning/metadata.jsonl"], + "temporal": ["data/temporal_localization/data_jsons/annotations"], + "pointing": ["data/pointing/VANTAGE_2DPointing.jsonl"], + "astro2d": ["data/2dbbox/metadata.jsonl"], + "grounding": [ + "data/referring/refdrone_test_llava.json", + "data/referring/prep_refdrone_data.py", + ], + "sot": [ + "data/tracking/sot_benchmark.jsonl", + "data/tracking/prepare_sot_dataset.py", + ], +} + +IMPLEMENTED_TASKS = [ + "vqa", "event_verification", "dvc", "temporal", "pointing", + "astro2d", "grounding", "sot", +] +DEFERRED_TASKS: List[str] = [] +ALL_TASKS = IMPLEMENTED_TASKS + DEFERRED_TASKS + +# nvidia/PhysicalAI-SmartSpaces is the source for SOT camera videos. +# Access requires HF token + license acceptance at: +# https://huggingface.co/datasets/nvidia/PhysicalAI-SmartSpaces +SOT_SOURCE_REPO_ID = "nvidia/PhysicalAI-SmartSpaces" +SOT_SOURCE_REPO_SUBDIR = "MTMC_Tracking_2025" + +log = logging.getLogger("vantage-prep") + + +# --------------------------------------------------------------------------- +# Options + result containers +# --------------------------------------------------------------------------- + +@dataclass +class Options: + lmu_root: Path + hf_cache: Optional[Path] + hf_token: Optional[str] + symlink: bool + force: bool + force_clean: bool + dry_run: bool + verbose: bool + hf_repo: str = HF_REPO_ID + skip_grounding_images: bool = False + write_manifest: bool = False + local_source: Optional[Path] = None + + +@dataclass +class TaskResult: + task: str + lmu_name: str + target_dir: Path + status: str # "skipped" | "built" | "rebuilt" | "deferred" | "failed" | "dry-run" + rows: int = 0 + media_count: int = 0 + source_files: List[str] = field(default_factory=list) + notes: List[str] = field(default_factory=list) + source_mode: str = "" # "local-explicit" | "local-auto" | "hf" | "" + + +# --------------------------------------------------------------------------- +# Per-task config +# --------------------------------------------------------------------------- + +TASK_CONFIG: Dict[str, Dict[str, Any]] = { + "vqa": { + "lmu_name": "VANTAGE_VQA", + "index_file": "VANTAGE_VQA.tsv", + "media_dir": "videos", + "media_glob": "*.mp4", + "hf_patterns": [ + "data/vqa/data_jsons/annotations/*.json", + "data/vqa/videos/*", + ], + }, + "event_verification": { + "lmu_name": "VANTAGE_EventVerification", + "index_file": "VANTAGE_EventVerification.tsv", + "media_dir": "videos", + "media_glob": "*.mp4", + "hf_patterns": [ + "data/event_verification/data_jsons/annotations/*.json", + "data/event_verification/videos/*", + ], + }, + "dvc": { + "lmu_name": "VANTAGE_DVC", + "index_file": "VANTAGE_DVC.tsv", + "media_dir": "videos", + "media_glob": "*.mp4", + "hf_patterns": [ + "data/dense_captioning/metadata.jsonl", + "data/dense_captioning/prompt.json", + "data/dense_captioning/videos/*", + ], + }, + "temporal": { + "lmu_name": "VANTAGE_Temporal", + "index_file": "VANTAGE_Temporal.tsv", + "media_dir": "videos", + "media_glob": "*.mp4", + "hf_patterns": [ + "data/temporal_localization/data_jsons/annotations/*.json", + "data/temporal_localization/videos/*", + ], + }, + "pointing": { + "lmu_name": "VANTAGE_2DPointing", + "index_file": "VANTAGE_2DPointing.tsv", + "media_dir": "images_annotated", + "media_glob": "*", + "hf_patterns": [ + "data/pointing/VANTAGE_2DPointing.jsonl", + "data/pointing/images_annotated/*", + ], + }, + # ---- PHASE 2B ---- + "astro2d": { + "lmu_name": "Astro2D", + # Astro2D has no top-level index file; loader reads images/ and labels/ directly. + "index_file": None, + "media_dir": "images", + "media_glob": "*", + "hf_patterns": [ + "data/2dbbox/metadata.jsonl", + "data/2dbbox/prompt.json", + "data/2dbbox/sequence_a/images/*", + "data/2dbbox/sequence_b/images/*", + "data/2dbbox/sequence_c/images/*", + ], + }, + "grounding": { + "lmu_name": "VANTAGE_2DGrounding", + "index_file": "annotations.json", + "media_dir": "images", + "media_glob": "*", + "hf_patterns": [ + "data/referring/refdrone_test_llava.json", + "data/referring/prep_refdrone_data.py", + "data/referring/RUN.md", + ], + }, + "sot": { + "lmu_name": "VANTAGE_SOT", + # SOT has no top-level index file; integrity check is per-sequence. + "index_file": None, + "media_dir": ".", # per-sequence dirs live at the task root + "media_glob": "*", + "hf_patterns": [ + "data/tracking/sot_benchmark.jsonl", + "data/tracking/prepare_sot_dataset.py", + "data/tracking/README.md", + ], + }, +} + + +# --------------------------------------------------------------------------- +# Logging + path helpers +# --------------------------------------------------------------------------- + +def _setup_logging(verbose: bool) -> None: + level = logging.DEBUG if verbose else logging.INFO + logging.basicConfig( + level=level, + format="%(asctime)s %(levelname)-7s %(message)s", + datefmt="%H:%M:%S", + ) + + +def _resolve_lmu_root(arg_value: Optional[str]) -> Path: + if arg_value: + root = Path(arg_value).expanduser().resolve() + else: + root = DEFAULT_LMU_ROOT + if not root.is_absolute(): + raise SystemExit(f"--lmu-root must be absolute (got: {root})") + return root + + +def _target_dir(lmu_root: Path, task: str) -> Path: + return lmu_root / "datasets" / TASK_CONFIG[task]["lmu_name"] + + +# --------------------------------------------------------------------------- +# HF snapshot +# --------------------------------------------------------------------------- + +def _snapshot(task: str, opts: Options) -> Path: + """Download (or reuse cached) HF snapshot restricted to this task's patterns.""" + try: + from huggingface_hub import snapshot_download + except ImportError as e: + raise SystemExit( + "huggingface_hub is required. Install with: pip install huggingface_hub" + ) from e + + cfg = TASK_CONFIG[task] + patterns = list(cfg["hf_patterns"]) + log.info("[%s] snapshot from %s (patterns=%d)", task, opts.hf_repo, len(patterns)) + kwargs: Dict[str, Any] = dict( + repo_id=opts.hf_repo, + repo_type=HF_REPO_TYPE, + allow_patterns=patterns, + ) + if opts.hf_cache is not None: + kwargs["cache_dir"] = str(opts.hf_cache) + if opts.hf_token: + kwargs["token"] = opts.hf_token + snap_dir = snapshot_download(**kwargs) + log.debug("[%s] snapshot dir: %s", task, snap_dir) + return Path(snap_dir) + + +# --------------------------------------------------------------------------- +# Source resolution: local dataset repo vs HF remote +# --------------------------------------------------------------------------- + +def _task_data_subdir(task: str) -> str: + """Return the `data/` name for a task (e.g. dvc -> dense_captioning), + derived from the task's first HF pattern so there is one source of truth.""" + first = TASK_CONFIG[task]["hf_patterns"][0] # e.g. "data/dense_captioning/metadata.jsonl" + parts = first.split("/") + return parts[1] if len(parts) > 1 else task + + +def _is_valid_local_repo(path: Path, task: Optional[str] = None) -> Tuple[bool, str]: + """Validate that `path` is a PhysicalAI-VANTAGE-Bench checkout. + + Top-level: must contain data/, README.md, LICENSE.md. + Per-task (when `task` given): the post-PR marker paths in LOCAL_TASK_MARKERS + must all exist. A stale/pre-PR clone missing a marker fails here with a + clear reason instead of silently serving the wrong layout. + """ + if not path.is_dir(): + return False, f"not a directory: {path}" + for m in REPO_TOP_MARKERS: + if not (path / m).exists(): + return False, f"missing top-level marker: {m}" + if task is not None: + for rel in LOCAL_TASK_MARKERS.get(task, []): + if not (path / rel).exists(): + return False, f"missing {task} marker: {rel}" + return True, "ok" + + +# Cache the (single) auto-detected root so we don't walk parents per task. +_AUTODETECT_CACHE: Dict[str, Optional[Path]] = {} + + +def _autodetect_local_root() -> Optional[Path]: + """Return the dataset-repo root iff the script itself lives inside one. + + Walks only Path(__file__).resolve().parents — never searches arbitrary + filesystem locations. Top-level markers only (per-task checks happen in + _resolve_source). Returns None when the script is not inside a valid repo + (e.g. when shipped in the VLMEvalKit repo). + """ + if "root" in _AUTODETECT_CACHE: + return _AUTODETECT_CACHE["root"] + here = Path(__file__).resolve() + found: Optional[Path] = None + for parent in here.parents: + ok, _why = _is_valid_local_repo(parent, task=None) + if ok: + found = parent + break + _AUTODETECT_CACHE["root"] = found + return found + + +def _resolve_source(task: str, opts: Options) -> Tuple[Optional[Path], str]: + """Decide where this task's source data comes from. + + Priority: + 1. --local-source PATH -> ("local-explicit") + 2. script inside a repo -> ("local-auto") + 3. HF remote (--hf-repo) -> ("hf") + + Returns (source_root, source_mode). For "hf", source_root is the snapshot + dir — downloaded here for a real run, but left None during --dry-run so no + network/cache work happens. For local modes, source_root is the repo root + and is validated (per-task) before returning. + """ + # 1. Explicit local source. + if opts.local_source is not None: + root = opts.local_source + ok, why = _is_valid_local_repo(root, task) + if not ok: + raise SystemExit( + f"[{task}] --local-source {root} is not a usable dataset repo: {why}. " + f"Ensure it is a complete, post-PR PhysicalAI-VANTAGE-Bench checkout " + f"(and that Git LFS media is pulled)." + ) + return root, "local-explicit" + + # 2. Auto-local: only when the script itself sits inside a valid repo. + auto = _autodetect_local_root() + if auto is not None: + ok, why = _is_valid_local_repo(auto, task) + if not ok: + raise SystemExit( + f"[{task}] local dataset repo detected at {auto} but it is missing " + f"required layout: {why}. The clone looks stale or pre-PR. Update it, " + f"or run from the VLMEvalKit repo to use the HF remote." + ) + return auto, "local-auto" + + # 3. HF remote. Defer the actual download during dry-run. + if opts.dry_run: + return None, "hf" + return _snapshot(task, opts), "hf" + + +# --------------------------------------------------------------------------- +# File operations (idempotent + non-destructive) +# --------------------------------------------------------------------------- + +def _ensure_dir(p: Path, dry_run: bool) -> None: + if p.exists(): + return + log.debug("mkdir -p %s", p) + if not dry_run: + p.mkdir(parents=True, exist_ok=True) + + +def _link_or_copy_file(src: Path, dst: Path, opts: Options) -> bool: + """Place src at dst as symlink (default) or copy. Returns True if action taken.""" + if dst.exists() or dst.is_symlink(): + return False + if opts.dry_run: + log.debug("would %s %s -> %s", "symlink" if opts.symlink else "copy", src, dst) + return True + dst.parent.mkdir(parents=True, exist_ok=True) + if opts.symlink: + os.symlink(os.fspath(src.resolve()), os.fspath(dst)) + else: + shutil.copy2(src, dst) + return True + + +def _link_or_copy_dir(src_dir: Path, dst_dir: Path, opts: Options) -> int: + """Mirror src_dir into dst_dir. Returns count of new entries placed.""" + if not src_dir.exists(): + log.warning("source media dir missing: %s", src_dir) + return 0 + placed = 0 + _ensure_dir(dst_dir, opts.dry_run) + for src in sorted(src_dir.iterdir()): + if not src.is_file(): + continue + dst = dst_dir / src.name + if _link_or_copy_file(src, dst, opts): + placed += 1 + return placed + + +def _wipe_dir(p: Path, dry_run: bool) -> None: + if not p.exists(): + return + log.warning("--force-clean: removing %s", p) + if dry_run: + return + shutil.rmtree(p) + + +def _write_tsv(path: Path, rows: List[Dict[str, Any]], columns: List[str], dry_run: bool) -> None: + log.info("write TSV %s (%d rows, %d cols)", path, len(rows), len(columns)) + if dry_run: + return + path.parent.mkdir(parents=True, exist_ok=True) + with open(path, "w", newline="", encoding="utf-8") as f: + writer = csv.DictWriter( + f, fieldnames=columns, delimiter="\t", + quoting=csv.QUOTE_MINIMAL, lineterminator="\n", + ) + writer.writeheader() + for r in rows: + writer.writerow({c: r.get(c, "") for c in columns}) + + +# --------------------------------------------------------------------------- +# Integrity check (mirrors loader check_integrity predicates) +# --------------------------------------------------------------------------- + +def _check_integrity(task: str, target_dir: Path) -> Tuple[bool, str]: + # Per-task overrides for layouts that don't fit "index file + media dir". + if task == "astro2d": + images = target_dir / "images" + labels = target_dir / "labels" + if not images.exists() or not any(images.iterdir()): + return False, "images/ empty/missing" + if not labels.exists() or not any(labels.iterdir()): + return False, "labels/ empty/missing (placeholders required)" + return True, "ok" + if task == "sot": + if not target_dir.exists(): + return False, "target dir missing" + seq_dirs = [d for d in target_dir.iterdir() + if d.is_dir() and (d / "gt.json").exists() and (d / "frames").is_dir()] + if not seq_dirs: + return False, "no valid sequence dirs (need /gt.json + frames/)" + return True, f"{len(seq_dirs)} sequence dirs" + + cfg = TASK_CONFIG[task] + idx_name = cfg["index_file"] + if idx_name is None: + # Shouldn't happen — handled above per-task. + return False, "no integrity check defined" + idx = target_dir / idx_name + media = target_dir / cfg["media_dir"] + if not idx.exists(): + return False, f"index file missing: {idx.name}" + if idx.stat().st_size == 0: + return False, f"index file empty: {idx.name}" + if not media.exists() or not any(media.iterdir()): + return False, f"media dir empty/missing: {media.name}" + return True, "ok" + + +# --------------------------------------------------------------------------- +# Common helpers for prep functions +# --------------------------------------------------------------------------- + +def _normalize_category(cat: Optional[str]) -> str: + if not cat: + return "Unknown" + s = str(cat).strip() + if not s: + return "Unknown" + if s == "Smart Spaces": + return "Smart_Spaces" + return s + + +def _strip_mp4(name: str) -> str: + return name[:-4] if name.endswith(".mp4") else name + + +def _ensure_mp4(name: str) -> str: + return name if name.endswith(".mp4") else name + ".mp4" + + +def _bare_stem(name: str) -> str: + """Strip a leading dir and trailing .mp4 from a HF file_name field.""" + base = os.path.basename(name) + return _strip_mp4(base) + + +def _strip_video_ext(name: str) -> str: + """Strip one trailing .json OR .mp4 extension (matches VANTAGE_VQA loader's logic). + + q_uid values in VQA annotations come in two flavors: + "concat_wh_52_2925_4.mp4" -> "concat_wh_52_2925_4" + "temporal_cb00ec82cd.json" -> "temporal_cb00ec82cd" + """ + base = os.path.basename(name) + for ext in (".json", ".mp4"): + if base.endswith(ext): + return base[: -len(ext)] + return base + + +def _load_json(path: Path) -> Any: + with open(path, "r", encoding="utf-8") as f: + return json.load(f) + + +def _load_jsonl(path: Path) -> List[Dict[str, Any]]: + out: List[Dict[str, Any]] = [] + with open(path, "r", encoding="utf-8") as f: + for ln, line in enumerate(f, 1): + line = line.strip() + if not line: + continue + try: + out.append(json.loads(line)) + except json.JSONDecodeError as e: + log.warning("jsonl parse error %s:%d %s", path.name, ln, e) + return out + + +# --------------------------------------------------------------------------- +# VQA +# --------------------------------------------------------------------------- + +VQA_QUESTION_PREFIX = "You are analyzing a surveillance or traffic monitoring video. Watch the video carefully before answering. Answer based only on what you observe in the video." + +# Mirror of VANTAGE_VQA.generate_question (vlmeval/dataset/vantage_vqa.py) +def _vqa_format_question(base_question: str, options: List[str]) -> str: + labels = ["A", "B", "C", "D"] + out = "Question: " + base_question + "\n" + out += "Select your answer from the choices below:\n" + for i, lab in enumerate(labels[: len(options)]): + out += f"{lab}. {options[i]}\n" + out += ( + "Respond with ONLY the letter corresponding to your answer (A, B, C, or D). " + "Do not provide any explanation or other text.\n" + ) + return out + + +def _vqa_process_item(item: Dict[str, Any]) -> Optional[Dict[str, Any]]: + video = item.get("q_uid") or item.get("vid") or "" + if not video: + return None + # q_uid may end in .json (template file ref) or .mp4 (video ref) or nothing. + # Match the loader's _process_annotation_item logic: strip one of those. + video = _ensure_mp4(_strip_video_ext(video)) + question = item.get("question", "") + if not question: + return None + raw_opts = item.get("options", []) or [] + options: List[str] = [] + for opt in raw_opts: + if isinstance(opt, str): + # Strip leading "A: " / "B: " labels if present (matches loader) + parts = opt.split(": ", 1) + options.append(parts[1] if len(parts) == 2 else opt) + else: + options.append(str(opt)) + if not options: + return None + formatted = _vqa_format_question(question, options) + category = _normalize_category(item.get("industry") or item.get("category")) + return { + "video": video, + "question": formatted, + "answer": "", + "options": json.dumps(options, ensure_ascii=False), + "category": category, + "_qid": item.get("question_id", ""), + } + + +def _prep_vqa(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="vqa", lmu_name="VANTAGE_VQA", target_dir=target_dir, status="dry-run") + ann_dir = snap_dir / "data" / "vqa" / "data_jsons" / "annotations" + src_videos = snap_dir / "data" / "vqa" / "videos" + if not ann_dir.exists(): + raise SystemExit(f"VQA annotations dir missing in snapshot: {ann_dir}") + + rows: List[Dict[str, Any]] = [] + seen: set = set() + for jf in sorted(ann_dir.glob("*.json")): + data = _load_json(jf) + if not isinstance(data, list): + log.debug("VQA: skipping non-list JSON %s", jf.name) + continue + res.source_files.append(jf.name) + for item in data: + proc = _vqa_process_item(item) + if proc is None: + continue + dedup_key = (proc["video"], proc["_qid"] or proc["question"][:80]) + if dedup_key in seen: + continue + seen.add(dedup_key) + rows.append(proc) + + rows.sort(key=lambda r: (r["video"], r["_qid"])) + for i, r in enumerate(rows): + r["index"] = i + r.pop("_qid", None) + + # Inference-only schema: GT columns (answer, category) are dropped. + # build_prompt needs question + options; submission emit needs index + video. + columns = ["index", "video", "question", "options"] + tsv = target_dir / "VANTAGE_VQA.tsv" + media_dst = target_dir / "videos" + + if opts.dry_run: + res.rows = len(rows) + res.media_count = sum(1 for _ in src_videos.glob("*.mp4")) if src_videos.exists() else 0 + res.notes.append(f"plan: write {tsv} and link {res.media_count} videos") + return res + + if opts.force_clean: + _wipe_dir(media_dst, opts.dry_run) + _write_tsv(tsv, rows, columns, opts.dry_run) + placed = _link_or_copy_dir(src_videos, media_dst, opts) + res.rows = len(rows) + res.media_count = placed + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# Event Verification +# --------------------------------------------------------------------------- + +EV_DEFAULT_SYSTEM_PROMPT = ( + "You are a warehouse safety monitoring system analyzing surveillance video. " + "Determine if a near-miss incident has occurred between a person and a forklift. " + "A near-miss is defined as a situation where a person and an operating forklift " + "come into dangerously close proximity without a collision occurring — for example, " + "a person crossing the path of a moving forklift, a forklift passing close behind " + "or in front of a person, or a person narrowly avoiding being struck. " + "Answer \"Yes\" if a near-miss is clearly visible. Otherwise, answer \"No\"." +) + + +def _ev_load_items(path: Path) -> List[Dict[str, Any]]: + raw = _load_json(path) + if isinstance(raw, dict) and "bcq" in raw: + return list(raw["bcq"]) + if isinstance(raw, list): + return raw + log.warning("EV: unrecognized JSON shape in %s", path.name) + return [] + + +def _prep_event_verification(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="event_verification", lmu_name="VANTAGE_EventVerification", + target_dir=target_dir, status="dry-run") + ann_dir = snap_dir / "data" / "event_verification" / "data_jsons" / "annotations" + src_videos = snap_dir / "data" / "event_verification" / "videos" + if not ann_dir.exists(): + raise SystemExit(f"EV annotations dir missing in snapshot: {ann_dir}") + + rows: List[Dict[str, Any]] = [] + seen: set = set() + for jf in sorted(ann_dir.glob("*.json")): + items = _ev_load_items(jf) + if not items: + continue + res.source_files.append(jf.name) + for item in items: + video = item.get("video") or item.get("video_id") or "" + if not video: + continue + video = _ensure_mp4(os.path.basename(video)) + question = item.get("question", "") + if not question: + continue + iid = item.get("id", "") + key = (video, iid or question[:80]) + if key in seen: + continue + seen.add(key) + sys_prompt = item.get("system_prompt") or EV_DEFAULT_SYSTEM_PROMPT + category = _normalize_category(item.get("category")) + rows.append({ + "video": video, + "system_prompt": sys_prompt, + "question": question, + "answer": "", + "category": category, + "_id": iid, + }) + + rows.sort(key=lambda r: (r["video"], r["_id"])) + for i, r in enumerate(rows): + r["index"] = i + r.pop("_id", None) + + # Inference-only schema: GT columns (answer, category) dropped. + # system_prompt is REQUIRED — build_prompt reads line['system_prompt'] + # unconditionally and it is prompt framing, not ground truth. + columns = ["index", "video", "system_prompt", "question"] + tsv = target_dir / "VANTAGE_EventVerification.tsv" + media_dst = target_dir / "videos" + + if opts.dry_run: + res.rows = len(rows) + res.media_count = sum(1 for _ in src_videos.glob("*.mp4")) if src_videos.exists() else 0 + res.notes.append(f"plan: write {tsv} and link {res.media_count} videos") + return res + + if opts.force_clean: + _wipe_dir(media_dst, opts.dry_run) + _write_tsv(tsv, rows, columns, opts.dry_run) + placed = _link_or_copy_dir(src_videos, media_dst, opts) + res.rows = len(rows) + res.media_count = placed + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# DVC +# --------------------------------------------------------------------------- + +def _prep_dvc(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="dvc", lmu_name="VANTAGE_DVC", target_dir=target_dir, status="dry-run") + meta_path = snap_dir / "data" / "dense_captioning" / "metadata.jsonl" + src_videos = snap_dir / "data" / "dense_captioning" / "videos" + if not meta_path.exists(): + raise SystemExit(f"DVC metadata.jsonl missing in snapshot: {meta_path}") + + items = _load_jsonl(meta_path) + res.source_files.append(meta_path.name) + + rows: List[Dict[str, Any]] = [] + for item in items: + file_name = item.get("file_name") or item.get("video") or "" + if not file_name: + continue + video = _ensure_mp4(os.path.basename(file_name)) + prompt = item.get("prompt") or item.get("question") or "" + if not prompt: + continue + rows.append({ + "video": video, + "question": prompt, + "answer": "", + "category": "Unknown", + }) + + rows.sort(key=lambda r: r["video"]) + for i, r in enumerate(rows): + r["index"] = i + + # Inference-only schema: GT columns (answer, category) dropped. + # DVC build_prompt uses a constant query; question is kept for readability. + columns = ["index", "video", "question"] + tsv = target_dir / "VANTAGE_DVC.tsv" + media_dst = target_dir / "videos" + + if opts.dry_run: + res.rows = len(rows) + res.media_count = sum(1 for _ in src_videos.glob("*.mp4")) if src_videos.exists() else 0 + res.notes.append(f"plan: write {tsv} and link {res.media_count} videos") + return res + + if opts.force_clean: + _wipe_dir(media_dst, opts.dry_run) + _write_tsv(tsv, rows, columns, opts.dry_run) + placed = _link_or_copy_dir(src_videos, media_dst, opts) + res.rows = len(rows) + res.media_count = placed + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# Temporal +# --------------------------------------------------------------------------- + +TEMPORAL_QUESTION_PREFIX = ( + "Localize a series of activity events in the video, output the start and end " + "timestamp for each event. Provide the result in json format with 'mm:ss.ff' " + "format for time depiction for this event. Use keywords 'start' and 'end' in " + "the json output." +) + + +def _prep_temporal(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="temporal", lmu_name="VANTAGE_Temporal", target_dir=target_dir, status="dry-run") + ann_dir = snap_dir / "data" / "temporal_localization" / "data_jsons" / "annotations" + src_videos = snap_dir / "data" / "temporal_localization" / "videos" + if not ann_dir.exists(): + raise SystemExit(f"Temporal annotations dir missing in snapshot: {ann_dir}") + + rows: List[Dict[str, Any]] = [] + seen_qids: set = set() + for jf in sorted(ann_dir.glob("*.json")): + data = _load_json(jf) + if not isinstance(data, list): + log.debug("Temporal: skipping non-list JSON %s", jf.name) + continue + res.source_files.append(jf.name) + for item in data: + vid = item.get("vid") or item.get("video") or "" + if not vid: + continue + # Loader appends ".mp4" itself, so store bare stem. + vid = _strip_mp4(os.path.basename(vid)) + base_q = item.get("question", "") + if not base_q: + continue + qid = item.get("question_id", "") + if qid and qid in seen_qids: + continue + if qid: + seen_qids.add(qid) + duration = item.get("duration", 30.0) + try: + duration = float(duration) + except (TypeError, ValueError): + duration = 30.0 + question = TEMPORAL_QUESTION_PREFIX + "\n" + base_q + category = _normalize_category(item.get("category")) + rows.append({ + "video": vid, + "question": question, + "answer": "", + "duration": duration, + "category": category, + "_qid": qid or f"{vid}_0", + }) + + rows.sort(key=lambda r: (r["video"], r["_qid"])) + for i, r in enumerate(rows): + r["index"] = i + r.pop("_qid", None) + + # Inference-only schema: GT columns (answer, category) and the + # evaluation-only 'duration' field are dropped. build_prompt reads only + # question + video; duration is consumed solely by evaluate(). + columns = ["index", "video", "question"] + tsv = target_dir / "VANTAGE_Temporal.tsv" + media_dst = target_dir / "videos" + + if opts.dry_run: + res.rows = len(rows) + res.media_count = sum(1 for _ in src_videos.glob("*.mp4")) if src_videos.exists() else 0 + res.notes.append(f"plan: write {tsv} and link {res.media_count} videos") + return res + + if opts.force_clean: + _wipe_dir(media_dst, opts.dry_run) + _write_tsv(tsv, rows, columns, opts.dry_run) + placed = _link_or_copy_dir(src_videos, media_dst, opts) + res.rows = len(rows) + res.media_count = placed + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# 2DPointing (JSONL -> TSV) +# --------------------------------------------------------------------------- + +POINTING_COLUMNS = ["index", "question_id", "image_path", "question", "A", "B", "C", "D"] + + +def _prep_pointing(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="pointing", lmu_name="VANTAGE_2DPointing", + target_dir=target_dir, status="dry-run") + jsonl_path = snap_dir / "data" / "pointing" / "VANTAGE_2DPointing.jsonl" + src_images = snap_dir / "data" / "pointing" / "images_annotated" + if not jsonl_path.exists(): + raise SystemExit( + f"Pointing JSONL missing in snapshot: {jsonl_path}\n" + "The script targets the post-PR layout where pointing is JSONL. If the " + "live nvidia/PhysicalAI-VANTAGE-Bench still ships a TSV, this task will " + "fail until the PR merges." + ) + res.source_files.append(jsonl_path.name) + + items = _load_jsonl(jsonl_path) + rows: List[Dict[str, Any]] = [] + missing_images: List[str] = [] + for i, item in enumerate(items): + row = {col: item.get(col, "") for col in POINTING_COLUMNS} + # Re-index for safety in case source skips indices. + row["index"] = item.get("index", i) + # Sanity: image_path should resolve under images_annotated/ + ip = str(row.get("image_path", "")) + if not ip.startswith("images_annotated/"): + res.notes.append(f"unexpected image_path prefix: {ip}") + else: + rel = ip[len("images_annotated/"):] + if src_images.exists() and not (src_images / rel).exists(): + missing_images.append(rel) + rows.append(row) + + if missing_images: + res.notes.append(f"{len(missing_images)} image paths not resolvable in snapshot") + if opts.verbose: + for m in missing_images[:5]: + log.warning("pointing: missing image %s", m) + + tsv = target_dir / "VANTAGE_2DPointing.tsv" + media_dst = target_dir / "images_annotated" + + if opts.dry_run: + res.rows = len(rows) + res.media_count = sum(1 for p in src_images.iterdir() if p.is_file()) if src_images.exists() else 0 + res.notes.append(f"plan: write {tsv} and link {res.media_count} images") + return res + + if opts.force_clean: + _wipe_dir(media_dst, opts.dry_run) + _write_tsv(tsv, rows, POINTING_COLUMNS, opts.dry_run) + placed = _link_or_copy_dir(src_images, media_dst, opts) + res.rows = len(rows) + res.media_count = placed + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# Astro2D +# --------------------------------------------------------------------------- + +# The KITTI labels are NOT publicly released. The VLMEvalKit loader +# (vlmeval/dataset/vantage2d/astro_2d_dataset.py:_build_data_structure) silently +# DROPS any image that lacks a matching labels/.txt file. To keep all +# images visible to the loader for inference, we emit zero-byte placeholder +# label files. They are NOT inferred or fabricated GT — parse_kitti_label on +# an empty file returns an empty object list, which is the no-GT semantic. +ASTRO2D_SEQUENCES = ("sequence_a", "sequence_b", "sequence_c") + + +def _prep_astro2d(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="astro2d", lmu_name="Astro2D", target_dir=target_dir, status="dry-run") + src_root = snap_dir / "data" / "2dbbox" + if not src_root.exists(): + raise SystemExit(f"Astro2D source missing in snapshot: {src_root}") + + images_dst = target_dir / "images" + labels_dst = target_dir / "labels" + + if opts.force_clean: + _wipe_dir(images_dst, opts.dry_run) + _wipe_dir(labels_dst, opts.dry_run) + _ensure_dir(images_dst, opts.dry_run) + _ensure_dir(labels_dst, opts.dry_run) + + image_count = 0 + label_count = 0 + res.source_files.append("sequence_a/b/c/images/*") + for seq in ASTRO2D_SEQUENCES: + seq_dir = src_root / seq / "images" + if not seq_dir.exists(): + res.notes.append(f"missing source: {seq}/images") + continue + for img in sorted(seq_dir.iterdir()): + if not img.is_file(): + continue + ext = img.suffix.lower() + if ext not in {".jpg", ".jpeg", ".png", ".bmp", ".tiff"}: + continue + # Prefix with sequence name to avoid cross-sequence basename collisions. + flat_name = f"{seq}_{img.name}" + img_dst = images_dst / flat_name + _link_or_copy_file(img, img_dst, opts) + image_count += 1 + # Empty placeholder label (NOT inferred GT — see header comment). + stem = Path(flat_name).stem + lbl_dst = labels_dst / f"{stem}.txt" + if not lbl_dst.exists() and not opts.dry_run: + lbl_dst.touch() + label_count += 1 + elif not lbl_dst.exists() and opts.dry_run: + label_count += 1 + + res.media_count = image_count + res.notes.append(f"emitted {label_count} empty label placeholders (no-GT)") + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# Grounding (VANTAGE_2DGrounding) +# --------------------------------------------------------------------------- + +def _grounding_build_annotations(llava_path: Path) -> List[Dict[str, Any]]: + """Convert HF refdrone_test_llava.json -> loader-compatible no-GT entries. + + Output schema (per loader vlmeval/dataset/vantage2d/grounding_2d_dataset.py + parse_refcoco_annotations no-GT branch): + {image, sentence, width, height, category} + No `bboxes` key is emitted (loader's no-GT branch is triggered when the + first item lacks `bboxes`). + """ + raw = _load_json(llava_path) + if not isinstance(raw, list): + raise SystemExit(f"unexpected grounding annotation shape in {llava_path}") + out: List[Dict[str, Any]] = [] + for item in raw: + meta = item.get("_meta", {}) or {} + sentence = meta.get("sentence") or "" + if not sentence: + # Try to recover sentence from human conversation if _meta is absent. + for conv in item.get("conversations", []): + if conv.get("from") == "human": + txt = conv.get("value", "") + m = re.search(r'"(.+?)"', txt) + if m: + sentence = m.group(1) + break + if not sentence: + continue + media = item.get("media") or "" + image = os.path.basename(media) if media else "" + if not image: + continue + out.append({ + "image": image, + "sentence": sentence, + "width": meta.get("image_width"), + "height": meta.get("image_height"), + "category": meta.get("object_category", ""), + }) + return out + + +def _run_refdrone_prep_script(script_src: Path, work_root: Path, force: bool, + opts: Options) -> Path: + """Stage prep_refdrone_data.py in a writable workdir at the depth it + expects (/scripts/refdrone/...), run it, and return the + resulting images dir. + + The script hard-codes REPO_ROOT = __file__.parent.parent.parent, so the + output ends up at /LMUData/Spatial/2d_referring_expressions/refdrone/. + """ + script_dir = work_root / "scripts" / "refdrone" + script_dir.mkdir(parents=True, exist_ok=True) + staged = script_dir / "prep_refdrone_data.py" + if not staged.exists() or force: + shutil.copy2(script_src, staged) + cmd = [sys.executable, str(staged)] + if force: + cmd.append("--force") + log.info("[grounding] running %s", " ".join(cmd)) + try: + # Stream output so the user sees download progress. + subprocess.run(cmd, check=True, cwd=str(work_root)) + except subprocess.CalledProcessError as e: + raise SystemExit( + f"[grounding] prep_refdrone_data.py failed (exit {e.returncode}). " + f"VisDrone mirrors may be down or unreachable. Re-run with --skip-grounding-images " + f"if you already have images/, or retry later." + ) from e + except FileNotFoundError as e: + raise SystemExit(f"[grounding] failed to launch prep script: {e}") from e + + images_dir = work_root / "LMUData" / "Spatial" / "2d_referring_expressions" / "refdrone" / "images" + if not images_dir.exists() or not any(images_dir.iterdir()): + raise SystemExit(f"[grounding] prep script produced no images at {images_dir}") + return images_dir + + +def _prep_grounding(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="grounding", lmu_name="VANTAGE_2DGrounding", + target_dir=target_dir, status="dry-run") + src_root = snap_dir / "data" / "referring" + llava_path = src_root / "refdrone_test_llava.json" + prep_script = src_root / "prep_refdrone_data.py" + if not llava_path.exists(): + raise SystemExit(f"Grounding annotation missing in snapshot: {llava_path}") + if not prep_script.exists() and not opts.skip_grounding_images: + raise SystemExit( + f"Grounding prep script missing in snapshot: {prep_script}\n" + "Pass --skip-grounding-images if you have pre-staged images." + ) + res.source_files.append(llava_path.name) + + # 1) Convert annotations (no-GT entries). + entries = _grounding_build_annotations(llava_path) + ann_dst = target_dir / "annotations.json" + log.info("write %s (%d entries, no-GT)", ann_dst, len(entries)) + if not opts.dry_run: + ann_dst.parent.mkdir(parents=True, exist_ok=True) + with open(ann_dst, "w", encoding="utf-8") as f: + json.dump(entries, f, indent=2, ensure_ascii=False) + + # 2) Materialize images. + images_dst = target_dir / "images" + if opts.force_clean: + _wipe_dir(images_dst, opts.dry_run) + _ensure_dir(images_dst, opts.dry_run) + + if opts.skip_grounding_images: + res.notes.append("--skip-grounding-images: images/ left as-is") + # Count whatever is already there for reporting. + if images_dst.exists(): + res.media_count = sum(1 for p in images_dst.iterdir() if p.is_file()) + else: + work_root = target_dir.parent.parent / ".work" / "grounding" + work_root.mkdir(parents=True, exist_ok=True) + try: + src_images = _run_refdrone_prep_script(prep_script, work_root, opts.force, opts) + except SystemExit: + raise + placed = _link_or_copy_dir(src_images, images_dst, opts) + res.media_count = placed + res.notes.append(f"linked {placed} VisDrone images from prep workdir") + + res.rows = len(entries) + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# SOT +# --------------------------------------------------------------------------- + +def _sot_write_gt_jsons(benchmark_path: Path, target_dir: Path, opts: Options) -> Tuple[int, int]: + """For each entry in sot_benchmark.jsonl, write //gt.json + with public init_bbox only (no hidden trajectories). + + Returns (gt_written, frames_present). + """ + items = _load_jsonl(benchmark_path) + gt_written = 0 + frames_present = 0 + for item in items: + seq_id = item.get("seq_id") + if not seq_id: + continue + seq_dir = target_dir / seq_id + if not seq_dir.exists(): + # prepare_sot_dataset.py may have skipped this seq (download failure, etc.) + continue + canonical = item.get("canonical_frame_ids") or [] + n_frames = len(canonical) if canonical else 8 + init_bbox = item.get("init_bbox") + if init_bbox is None: + log.warning("SOT: %s has no init_bbox in benchmark — skipping gt.json", seq_id) + continue + # NOTE: only frame 0 (init) gets a public bbox. Other frames are + # absent on purpose — server-side scoring uses hidden trajectories. + gt = { + "label": f"{item.get('scene','')}/{item.get('camera','')}/" + f"{item.get('init_frame_id','')}/obj{item.get('object_id','')}", + "scene": item.get("scene", ""), + "camera": item.get("camera", ""), + "object_id": str(item.get("object_id", "")), + "object_type": item.get("object_type", "object"), + "frame_ids": list(range(n_frames)), + "source_frame_ids": canonical, + "init_bbox": init_bbox, + "gt_bboxes": {"0": init_bbox}, + } + gt_path = seq_dir / "gt.json" + if not opts.dry_run: + with open(gt_path, "w", encoding="utf-8") as f: + json.dump(gt, f, indent=2) + gt_written += 1 + frames_dir = seq_dir / "frames" + if frames_dir.is_dir(): + frames_present += sum(1 for p in frames_dir.iterdir() if p.suffix == ".png") + return gt_written, frames_present + + +def _discover_ffmpeg_dir() -> Optional[str]: + """Return a directory containing an ffmpeg binary, or None. + + Searches PATH first, then common conda-env bin dirs (the prep script's own + find_ffmpeg() does NOT look inside conda envs, so we bridge that gap by + prepending the discovered dir to the subprocess PATH). + """ + found = shutil.which("ffmpeg") + if found: + return os.path.dirname(found) + import glob + patterns = [ + os.path.expanduser("~/miniconda3/envs/*/bin/ffmpeg"), + os.path.expanduser("~/anaconda3/envs/*/bin/ffmpeg"), + "/opt/conda/envs/*/bin/ffmpeg", + os.path.expanduser("~/miniconda3/bin/ffmpeg"), + os.path.expanduser("~/anaconda3/bin/ffmpeg"), + "/opt/conda/bin/ffmpeg", + ] + for pat in patterns: + hits = sorted(glob.glob(pat)) + if hits: + return os.path.dirname(hits[0]) + return None + + +def _resolve_hf_token(cli_token: Optional[str]) -> Optional[str]: + """Resolve an HF token: --hf-token, then HF_TOKEN env, then the token + saved by `hf auth login` (huggingface_hub.get_token()).""" + if cli_token: + return cli_token + env = os.environ.get("HF_TOKEN") + if env: + return env + try: + from huggingface_hub import get_token + tok = get_token() + if tok: + return tok + except Exception: + pass + return None + + +def _run_sot_prep_script(script_path: Path, benchmark_path: Path, output_dir: Path, + opts: Options) -> None: + """Invoke prepare_sot_dataset.py to download videos + extract frames.""" + token = opts.hf_token # already resolved (cli/env/stored) in main() + if not token: + raise SystemExit( + "[sot] No HF token found. Provide one of:\n" + " - run `hf auth login` (token is then auto-detected), or\n" + " - export HF_TOKEN=hf_xxx, or\n" + " - pass --hf-token hf_xxx\n" + f"Source videos come from {SOT_SOURCE_REPO_ID}. If it is gated, accept\n" + f"the license at https://huggingface.co/datasets/{SOT_SOURCE_REPO_ID}" + ) + # ffmpeg check — the prep script requires it for frame extraction. + ffmpeg_dir = _discover_ffmpeg_dir() + if ffmpeg_dir is None: + raise SystemExit( + "[sot] ffmpeg not found. Frame extraction in prepare_sot_dataset.py " + "requires it. Easiest installs:\n" + " - conda install -c conda-forge ffmpeg\n" + " - (Debian/Ubuntu) sudo apt-get install -y ffmpeg\n" + " - or a static build from https://johnvansickle.com/ffmpeg/\n" + "Then re-run. (Tip: an ffmpeg inside a conda env is auto-detected.)" + ) + # Bridge conda-env ffmpeg onto the subprocess PATH (the prep script's + # find_ffmpeg does not search conda envs). + child_env = os.environ.copy() + if shutil.which("ffmpeg") is None: + child_env["PATH"] = ffmpeg_dir + os.pathsep + child_env.get("PATH", "") + log.info("[sot] using ffmpeg from %s", ffmpeg_dir) + cmd = [ + sys.executable, str(script_path), + "--benchmark", str(benchmark_path), + "--output-dir", str(output_dir), + "--hf-token", token, + "--repo-id", SOT_SOURCE_REPO_ID, + "--repo-subdir", SOT_SOURCE_REPO_SUBDIR, + ] + if opts.hf_cache is not None: + cmd += ["--hf-cache-dir", str(opts.hf_cache)] + log.info("[sot] running %s", " ".join(cmd[:6] + ["..."])) + try: + subprocess.run(cmd, check=True, env=child_env) + except subprocess.CalledProcessError as e: + # Most common failure: 401/403 from HF (gated dataset). + raise SystemExit( + f"[sot] prepare_sot_dataset.py failed (exit {e.returncode}). " + f"If HTTP 401/403: confirm license acceptance at " + f"https://huggingface.co/datasets/{SOT_SOURCE_REPO_ID} and that your " + f"HF token has read access." + ) from e + + +def _prep_sot(snap_dir: Path, target_dir: Path, opts: Options) -> TaskResult: + res = TaskResult(task="sot", lmu_name="VANTAGE_SOT", + target_dir=target_dir, status="dry-run") + src_root = snap_dir / "data" / "tracking" + benchmark = src_root / "sot_benchmark.jsonl" + prep_script = src_root / "prepare_sot_dataset.py" + if not benchmark.exists(): + raise SystemExit(f"SOT benchmark missing in snapshot: {benchmark}") + if not prep_script.exists(): + raise SystemExit(f"SOT prep script missing in snapshot: {prep_script}") + res.source_files.append(benchmark.name) + + if opts.force_clean: + # Wipe per-seq dirs (but keep target_dir itself). + if target_dir.exists(): + for child in list(target_dir.iterdir()): + if child.is_dir(): + _wipe_dir(child, opts.dry_run) + _ensure_dir(target_dir, opts.dry_run) + + # 1) Run the prep script (downloads videos + extracts frames). + _run_sot_prep_script(prep_script, benchmark, target_dir, opts) + + # 2) Write per-sequence gt.json from public init_bbox. + gt_written, frames_present = _sot_write_gt_jsons(benchmark, target_dir, opts) + res.rows = gt_written + res.media_count = frames_present + res.notes.append(f"wrote {gt_written} gt.json files (init_bbox only, no hidden trajectories)") + res.notes.append(f"{frames_present} frame .png files present") + res.status = "built" + return res + + +# --------------------------------------------------------------------------- +# Deferred-task stubs +# --------------------------------------------------------------------------- + +# (No deferred stubs in PHASE 2B — all eight tasks are implemented.) + + +# --------------------------------------------------------------------------- +# Dispatch +# --------------------------------------------------------------------------- + +PREP_FNS: Dict[str, Callable[..., TaskResult]] = { + "vqa": _prep_vqa, + "event_verification": _prep_event_verification, + "dvc": _prep_dvc, + "temporal": _prep_temporal, + "pointing": _prep_pointing, + "astro2d": _prep_astro2d, + "grounding": _prep_grounding, + "sot": _prep_sot, +} + + +def _dry_run_plan(task: str, target_dir: Path, opts: Options, + source_mode: str, source_root: Optional[Path]) -> TaskResult: + """Pure dry-run summary. No disk writes. For hf mode no download happens.""" + cfg = TASK_CONFIG[task] + res = TaskResult( + task=task, + lmu_name=cfg["lmu_name"], + target_dir=target_dir, + status="dry-run", + ) + if source_mode in ("local-explicit", "local-auto"): + res.notes.append(f"source: {source_mode}:{source_root}") + # Per-task markers already validated by _resolve_source. + res.notes.append(f"would read from local data/{_task_data_subdir(task)}/ " + f"(no HF download)") + else: + res.notes.append(f"source: hf:{opts.hf_repo}") + res.notes.append(f"would download HF patterns: {cfg['hf_patterns']}") + if task == "astro2d": + res.notes.append(f"would flatten sequence_{{a,b,c}}/images -> {target_dir}/images/") + res.notes.append(f"would emit empty placeholder labels at {target_dir}/labels/ (no-GT)") + elif task == "grounding": + res.notes.append(f"would write {target_dir}/annotations.json (no-GT)") + if opts.skip_grounding_images: + res.notes.append("would skip VisDrone image download (--skip-grounding-images)") + else: + res.notes.append("would invoke prep_refdrone_data.py to download VisDrone (~297 MB)") + res.notes.append(f"would populate: {target_dir}/images/") + elif task == "sot": + res.notes.append(f"would invoke prepare_sot_dataset.py against {SOT_SOURCE_REPO_ID}") + res.notes.append(f"would write per-seq /gt.json under {target_dir}/") + token = opts.hf_token # resolved (cli/env/stored) in main() + if token: + res.notes.append("preflight: HF token detected") + else: + res.notes.append("PREFLIGHT FAIL: no HF token (run `hf auth login`, " + "export HF_TOKEN, or pass --hf-token)") + ffdir = _discover_ffmpeg_dir() + if ffdir: + res.notes.append(f"preflight: ffmpeg found ({ffdir})") + else: + res.notes.append("PREFLIGHT FAIL: ffmpeg not found " + "(conda install -c conda-forge ffmpeg)") + else: + idx_name = cfg.get("index_file") + if idx_name: + res.notes.append(f"would write: {target_dir / idx_name}") + res.notes.append(f"would populate: {target_dir / cfg['media_dir']}/") + return res + + +def _run_task(task: str, opts: Options) -> TaskResult: + target_dir = _target_dir(opts.lmu_root, task) + + # Idempotency: skip if integrity passes and not forcing + if not opts.force and target_dir.exists(): + ok, why = _check_integrity(task, target_dir) + if ok: + log.info("[%s] skip — already populated at %s", task, target_dir) + return TaskResult( + task=task, + lmu_name=TASK_CONFIG[task]["lmu_name"], + target_dir=target_dir, + status="skipped", + notes=[why], + ) + else: + log.info("[%s] partial state (%s) — will rebuild", task, why) + + # Resolve where the source data comes from (validates local sources; + # for hf mode this downloads, unless dry-run, in which case it returns None). + source_root, source_mode = _resolve_source(task, opts) + + # Dry-run short-circuits before any disk write. + if opts.dry_run: + log.info("[%s] dry-run (source=%s) — no writes", task, source_mode) + res = _dry_run_plan(task, target_dir, opts, source_mode, source_root) + res.source_mode = source_mode + return res + + _ensure_dir(target_dir, opts.dry_run) + fn = PREP_FNS[task] + res = fn(source_root, target_dir, opts) + res.source_mode = source_mode + if opts.force and res.status == "built": + res.status = "rebuilt" + + if res.status in ("built", "rebuilt"): + ok, why = _check_integrity(task, target_dir) + if not ok: + res.notes.append(f"post-build integrity check FAILED: {why}") + res.status = "failed" + else: + res.notes.append(f"integrity ok: {why}") + return res + + +# --------------------------------------------------------------------------- +# Manifest +# --------------------------------------------------------------------------- + +def _write_manifest(lmu_root: Path, results: List[TaskResult], opts: Options) -> None: + manifest_path = lmu_root / MANIFEST_FILENAME + payload = { + "generated_at": datetime.datetime.now(datetime.timezone.utc).isoformat(), + "hf_repo": opts.hf_repo, + "hf_repo_production_default": HF_REPO_ID, + "hf_repo_type": HF_REPO_TYPE, + "lmu_root": str(lmu_root), + "local_source": str(opts.local_source) if opts.local_source else None, + "options": { + "media_mode": "symlink" if opts.symlink else "copy", + "force": opts.force, + "force_clean": opts.force_clean, + "dry_run": opts.dry_run, + "skip_grounding_images": opts.skip_grounding_images, + }, + "tasks": [ + { + "task": r.task, + "lmu_name": r.lmu_name, + "target_dir": str(r.target_dir), + "status": r.status, + "source_mode": r.source_mode, + "rows": r.rows, + "media_count": r.media_count, + "source_files": r.source_files, + "notes": r.notes, + } + for r in results + ], + } + if opts.dry_run: + log.info("would write manifest %s (--write-manifest)", manifest_path) + return + log.info("write manifest %s", manifest_path) + lmu_root.mkdir(parents=True, exist_ok=True) + with open(manifest_path, "w", encoding="utf-8") as f: + json.dump(payload, f, indent=2) + + +# --------------------------------------------------------------------------- +# CLI +# --------------------------------------------------------------------------- + +def _parse_tasks(raw: Optional[str], all_flag: bool) -> List[str]: + if all_flag: + return list(IMPLEMENTED_TASKS) # deferred tasks intentionally excluded + if not raw: + return list(IMPLEMENTED_TASKS) + out: List[str] = [] + for tok in raw.split(","): + t = tok.strip().lower() + if not t: + continue + if t == "all": + return list(IMPLEMENTED_TASKS) + if t not in ALL_TASKS: + raise SystemExit(f"unknown task '{t}' (choose from: {','.join(ALL_TASKS)})") + out.append(t) + if not out: + raise SystemExit("no tasks selected") + return out + + +def _parse_args(argv: Optional[List[str]] = None) -> argparse.Namespace: + p = argparse.ArgumentParser( + prog="run_lmudata.py", + description=( + "Prepare an LMUData layout for VLMEvalKit from " + "nvidia/PhysicalAI-VANTAGE-Bench (no-GT inference layout)." + ), + ) + p.add_argument("--tasks", type=str, default=None, + help=f"comma-separated tasks (choices: {','.join(ALL_TASKS)}). Default = all implemented.") + p.add_argument("--all", action="store_true", + help="alias for --tasks=all (implemented tasks only)") + p.add_argument("--lmu-root", type=str, default=None, + help=f"LMUData output root (default: {DEFAULT_LMU_ROOT})") + p.add_argument("--local-source", type=str, default=None, + help="Path to a local PhysicalAI-VANTAGE-Bench checkout. Use its data/ " + "folder directly instead of downloading from HF. Takes precedence " + "over --hf-repo. (Auto-enabled when this script lives inside such a repo.)") + p.add_argument("--hf-repo", type=str, default=HF_REPO_ID, + help=(f"HF dataset repo id (default: {HF_REPO_ID}). " + "Override is for testing/simulation only — production runs MUST use the default. " + "Ignored when a local source is active.")) + p.add_argument("--hf-cache", type=str, default=None, + help="Override HF hub cache_dir") + p.add_argument("--hf-token", type=str, default=None, + help=("HF token (or set HF_TOKEN env). Required for the SOT task, " + "which downloads source camera videos from the gated " + "nvidia/PhysicalAI-SmartSpaces dataset.")) + media = p.add_mutually_exclusive_group() + media.add_argument("--symlink", dest="symlink", action="store_true", + help="symlink media into the HF cache (default) — saves disk, " + "but LMUData depends on the HF cache staying in place") + media.add_argument("--copy", dest="symlink", action="store_false", + help="copy media files into LMUData instead of symlinking " + "(self-contained / portable; duplicates tens of GB of media)") + p.set_defaults(symlink=True) + p.add_argument("--force", action="store_true", + help="rebuild index files even if integrity check passes") + p.add_argument("--force-clean", action="store_true", + help="wipe existing media dirs before relinking (destructive)") + p.add_argument("--dry-run", action="store_true", + help="print plan, do not write files or call HF") + p.add_argument("--skip-grounding-images", action="store_true", + help="skip VisDrone image download for grounding (use pre-staged images/)") + p.add_argument("--write-manifest", action="store_true", + help="write a .vantage_prep_manifest.json telemetry file at the LMU root " + "(off by default; participant LMUData stays clean)") + p.add_argument("--verbose", "-v", action="store_true") + return p.parse_args(argv) + + +def main(argv: Optional[List[str]] = None) -> int: + args = _parse_args(argv) + _setup_logging(args.verbose) + + local_source = None + if args.local_source: + local_source = Path(args.local_source).expanduser().resolve() + + opts = Options( + lmu_root=_resolve_lmu_root(args.lmu_root), + hf_cache=Path(args.hf_cache).expanduser().resolve() if args.hf_cache else None, + hf_token=_resolve_hf_token(args.hf_token), + symlink=args.symlink, + force=args.force, + force_clean=args.force_clean, + dry_run=args.dry_run, + verbose=args.verbose, + hf_repo=args.hf_repo, + skip_grounding_images=args.skip_grounding_images, + write_manifest=args.write_manifest, + local_source=local_source, + ) + + # Determine the effective source for logging/summary (per-task validation + # still happens in _resolve_source). + auto_root = None if opts.local_source else _autodetect_local_root() + if opts.local_source: + source_label = f"local-explicit:{opts.local_source}" + local_active = True + elif auto_root is not None: + source_label = f"local-auto:{auto_root}" + local_active = True + else: + source_label = f"hf:{opts.hf_repo}" + local_active = False + + if local_active and opts.hf_repo != HF_REPO_ID: + log.warning("--hf-repo %s is IGNORED because a local source is active (%s).", + opts.hf_repo, source_label) + elif opts.hf_repo != HF_REPO_ID: + log.warning("--hf-repo override active: %s (production default: %s)", + opts.hf_repo, HF_REPO_ID) + + tasks = _parse_tasks(args.tasks, args.all) + + log.info("VANTAGE prep — source=%s lmu_root=%s tasks=%s dry_run=%s media=%s force=%s", + source_label, opts.lmu_root, ",".join(tasks), opts.dry_run, + "symlink" if opts.symlink else "copy", opts.force) + if not opts.dry_run: + opts.lmu_root.mkdir(parents=True, exist_ok=True) + (opts.lmu_root / "datasets").mkdir(parents=True, exist_ok=True) + + results: List[TaskResult] = [] + for task in tasks: + try: + res = _run_task(task, opts) + except SystemExit as e: + # Per-task SystemExits (missing source dir, missing HF token, etc.) + # become per-task failures so other tasks can still proceed. + msg = str(e) if str(e) else f"SystemExit code {e.code!r}" + log.error("[%s] %s", task, msg) + res = TaskResult( + task=task, + lmu_name=TASK_CONFIG.get(task, {}).get("lmu_name", task), + target_dir=_target_dir(opts.lmu_root, task) if task in TASK_CONFIG else opts.lmu_root, + status="failed", + notes=[msg[:500]], + ) + except Exception as e: + log.exception("[%s] failed: %s", task, e) + res = TaskResult( + task=task, + lmu_name=TASK_CONFIG.get(task, {}).get("lmu_name", task), + target_dir=_target_dir(opts.lmu_root, task) if task in TASK_CONFIG else opts.lmu_root, + status="failed", + notes=[f"exception: {e!r}"], + ) + results.append(res) + + if opts.write_manifest: + _write_manifest(opts.lmu_root, results, opts) + + # Summary + print() + print("=" * 78) + print("VANTAGE prep summary" + + (" [TEST OVERRIDE]" if (not local_active and opts.hf_repo != HF_REPO_ID) else "")) + print(f"Source: {source_label}") + print(f"LMU root: {opts.lmu_root}") + print(f"Mode: {'DRY-RUN' if opts.dry_run else 'WRITE'} " + f"media={'symlink' if opts.symlink else 'copy'} " + f"force={opts.force} force_clean={opts.force_clean}") + print("-" * 78) + print(f"{'task':<28}{'status':<12}{'rows':>8}{'media':>10}") + print("-" * 78) + for r in results: + print(f"{r.lmu_name:<28}{r.status:<12}{r.rows:>8}{r.media_count:>10}") + for note in r.notes: + print(f" - {note}") + print("=" * 78) + if opts.write_manifest: + print(f"Manifest: {opts.lmu_root / MANIFEST_FILENAME}") + return 0 if all(r.status in ("built", "rebuilt", "skipped", "deferred", "dry-run") for r in results) else 1 + + +if __name__ == "__main__": + sys.exit(main())