Datasets:

nextcf-anon-2026
/

nextcf

+cff-version: 1.2.0
+message: "If you use this dataset, please cite as below."
+title: "NExT-CF: A Counterfactual Entity-Removal Benchmark for Video Question Answering"
+authors:
+  - name: "Anonymous Authors (submission under review)"
+year: 2026
+version: "1.0.0"
+license: "CC-BY-NC-SA-4.0"
+type: dataset
+abstract: >
+  NExT-CF is a benchmark of 570 counterfactually edited videos derived from NExT-QA,
+  used to probe whether Video Question Answering models rely on visual evidence
+  or language priors. Each video has a target entity removed via SAM3 segmentation
+  and DiffuEraser diffusion inpainting, with the corresponding QA pairs carried
+  over from NExT-QA.
+keywords:
+  - video question answering
+  - counterfactual
+  - benchmark
+  - diagnostic benchmark
+  - visual grounding
+  - evidence reliance
+  - diffusion inpainting
+references:
+  - type: conference-paper
+    authors:
+      - family-names: Xiao
+        given-names: Junbin
+      - family-names: Shang
+        given-names: Xun
+      - family-names: Yao
+        given-names: Angela
+      - family-names: Chua
+        given-names: Tat-Seng
+    title: "NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions"
+    conference:
+      name: "CVPR"
+    year: 2021
+notes: >
+  NeurIPS 2026 Evaluations & Datasets track submission (under review).
+  Author identities will be added upon acceptance.

LICENSE ADDED Viewed

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+Tier-1 edited videos in this dataset are licensed under
+Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
+(CC-BY-NC-SA 4.0).
+Full license text: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
+This license is imposed by the most restrictive source-clip license
+among the 389 Flickr videos used to produce tier-1 outputs
+(original source clips were various CC 2.0 variants; see ATTRIBUTION.csv).
+The 181 tier-2 clips in this dataset ship as metadata only (no edited
+video), because their source clips carry a CC "NoDerivatives" clause
+that prohibits redistribution of modified versions. Users regenerate
+tier-2 edits locally via reproduce_tier2/reproduce.sh. See README.md.

LICENSE-METADATA ADDED Viewed

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+All metadata, prompts, question-answer pairs, and documentation in this
+dataset are licensed under Creative Commons Attribution-ShareAlike 4.0
+International (CC-BY-SA 4.0).
+Full license text: https://creativecommons.org/licenses/by-sa/4.0/legalcode
+This covers: metadata.json, tier_assignment.csv, tier2_manifest.csv,
+ATTRIBUTION.csv, and README.md. Original question-answer pairs are
+derived from NExT-QA (Xiao et al., CVPR 2021) and inherit its terms.

README.md ADDED Viewed

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+---
+license: cc-by-nc-sa-4.0
+license_name: cc-by-nc-sa-4.0-videos-cc-by-sa-4.0-metadata
+language:
+  - en
+task_categories:
+  - visual-question-answering
+size_categories:
+  - n<1K
+pretty_name: NExT-CF
+tags:
+  - video
+  - vqa
+  - video-question-answering
+  - counterfactual
+  - benchmark
+  - diffusion-inpainting
+  - evidence-reliance
+  - diagnostic-benchmark
+extra_gated_prompt: >
+  This dataset is released for non-commercial research use only.
+  By accessing the dataset you agree to the CC-BY-NC-SA 4.0 license
+  (tier-1 edited videos) and CC-BY-SA 4.0 (metadata, prompts, QA pairs).
+  You also agree to credit the original Flickr photographers per ATTRIBUTION.csv.
+configs:
+  - config_name: metadata
+    data_files:
+      - split: all
+        path: metadata.json
+---
+# NExT-CF: Counterfactual Entity-Removal Benchmark for VideoQA
+NExT-CF is a benchmark of 570 counterfactually edited videos
+derived from NExT-QA, used to probe whether Video Question Answering
+models rely on visual evidence or language priors. Each video has a
+target entity removed via diffusion inpainting (DiffuEraser), and the
+corresponding QA pairs are carried over from NExT-QA.
+## Tiered structure
+- **Tier 1 (direct):** 389 edited videos in `tier1_edited_videos/`.
+  Source clips are CC-BY, CC-BY-SA, CC-BY-NC, or CC-BY-NC-SA. Edited
+  videos are released under CC-BY-NC-SA 4.0.
+- **Tier 2 (reproducible):** 181 entries in `reproduce_tier2/`.
+  Source clips are CC-BY-ND or CC-BY-NC-ND, whose "NoDerivatives"
+  clause prohibits redistribution of modified versions. To stay
+  license-compliant, we ship only the SAM3 prompt and QA pairs for
+  these clips; run `reproduce_tier2/reproduce.sh` to regenerate the
+  edits locally from the unmodified NExT-QA sources.
+All 570 clips are included in the evaluation benchmark.
+## Contents
+| File | Description |
+|---|---|
+| `metadata.json` | All 570 entries — id, tier, prompt, license, QA |
+| `tier_assignment.csv` | Per-clip tier + original license |
+| `tier1_edited_videos/` | 389 edited MP4s |
+| `reproduce_tier2/tier2_manifest.csv` | 181 ND clips, one row each |
+| `reproduce_tier2/reproduce.sh` | Regeneration wrapper |
+| `ATTRIBUTION.csv` | Flickr credits for all clips (mandatory under CC-BY) |
+| `LICENSE` | CC-BY-NC-SA 4.0 (tier-1 edited videos) |
+| `LICENSE-METADATA` | CC-BY-SA 4.0 (metadata, prompts, QA) |
+## Attribution
+Source clips are from YFCC100M via NExT-QA. Per-clip photographer
+credit is in `ATTRIBUTION.csv`. This dataset requires citing both:
+- NExT-CF (this dataset) — see CITATION.cff
+- NExT-QA: Xiao et al., "NExT-QA: Next Phase of Question-Answering to
+  Explaining Temporal Actions", CVPR 2021.
+## Reproducing tier-2 edits
+```bash
+# 1. Download NExT-QA videos separately (license permits redistribution
+#    of originals; see https://github.com/doc-doc/NExT-QA)
+export NEXTQA_DIR=/path/to/NExTVideo
+# 2. Clone the NExT-CF code repo
+git clone https://github.com/<owner>/nextcf-code
+export CODE_DIR=$(pwd)/nextcf-code
+# 3. Run the reproduction script
+bash reproduce_tier2/reproduce.sh
+```
+Takes roughly 15 GPU-hours for all 181 clips on an RTX 6000 (fp16).
+## Ethics and limitations
+- Synthetic edits from diffusion models may contain artifacts.
+- Source distribution inherits any biases of NExT-QA and YFCC100M.
+- This dataset is research-only (NC clause). Commercial use is not permitted.

croissant.json ADDED Viewed

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+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "conformsTo": "dct:conformsTo",
+    "cr": "http://mlcommons.org/croissant/",
+    "rai": "http://mlcommons.org/croissant/RAI/",
+    "data": {
+      "@id": "cr:data",
+      "@type": "@json"
+    },
+    "dataType": {
+      "@id": "cr:dataType",
+      "@type": "@vocab"
+    },
+    "dct": "http://purl.org/dc/terms/",
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileObject": "cr:fileObject",
+    "fileProperty": "cr:fileProperty",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "samplingRate": "cr:samplingRate",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform"
+  },
+  "@type": "sc:Dataset",
+  "name": "NExT-CF",
+  "description": "NExT-CF is a benchmark of 570 counterfactually edited videos derived from NExT-QA, used to probe whether Video Question Answering (VQA) models rely on visual evidence or on language priors. For each video, a target entity is removed via SAM3 segmentation and DiffuEraser diffusion inpainting, and the corresponding QA pairs are carried over from NExT-QA. The release uses a two-tier structure: 389 edited videos ship directly (tier 1, CC-BY-NC-SA 4.0); 181 videos whose source clips carry a CC NoDerivatives clause ship as metadata plus a local reproduction script (tier 2). All 570 clips are included in the evaluation benchmark.",
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
+  "citeAs": "@misc{nextcf2026,\n  title={NExT-CF: A Counterfactual Entity-Removal Benchmark for Video Question Answering},\n  author={Anonymous Authors},\n  year={2026},\n  note={NeurIPS 2026 Evaluations \\& Datasets track submission (under review)}\n}",
+  "license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
+  "url": "https://huggingface.co/datasets/nextcf-anon-2026/nextcf",
+  "datePublished": "2026-05-06",
+  "version": "1.0.0",
+  "keywords": [
+    "video question answering",
+    "counterfactual",
+    "evaluation",
+    "benchmark",
+    "video inpainting",
+    "visual grounding"
+  ],
+  "creator": {
+    "@type": "Organization",
+    "name": "Anonymous (submission under review)"
+  },
+  "distribution": [
+    {
+      "@type": "cr:FileObject",
+      "@id": "README.md",
+      "name": "README.md",
+      "description": "Dataset README.",
+      "contentUrl": "README.md",
+      "encodingFormat": "text/markdown",
+      "sha256": "4932fb863902a4d48070d9f0e7d38473e5290e5d497c7956905c0f974ff72039"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "metadata.json",
+      "name": "metadata.json",
+      "description": "Per-video records: id, tier, prompt_word, license, QA pairs.",
+      "contentUrl": "metadata.json",
+      "encodingFormat": "application/json",
+      "sha256": "e29b05b04d3680bcfcfcc08d5d20027d71434abd546b420ab1f525e46bb481fe"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "ATTRIBUTION.csv",
+      "name": "ATTRIBUTION.csv",
+      "description": "Flickr attribution and per-clip source license for all 570 videos.",
+      "contentUrl": "ATTRIBUTION.csv",
+      "encodingFormat": "text/csv",
+      "sha256": "6fef5a07cb7339998a39a33d787af2fe9c433f222b908232ea5f663258de9355"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "tier_assignment.csv",
+      "name": "tier_assignment.csv",
+      "description": "Per-video tier assignment and original YFCC100M license.",
+      "contentUrl": "tier_assignment.csv",
+      "encodingFormat": "text/csv",
+      "sha256": "770fe4f39e619cfbf1dea8566a1b5d5b9cbec5f58cb048543925f0f48434f906"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "reproduce_tier2/tier2_manifest.csv",
+      "name": "reproduce_tier2/tier2_manifest.csv",
+      "description": "181 tier-2 (ND-licensed) clip references for local edit reproduction.",
+      "contentUrl": "reproduce_tier2/tier2_manifest.csv",
+      "encodingFormat": "text/csv",
+      "sha256": "1fd8ba9656a080701e38046474c7300f4b3815fe970db0a6d071bd8d504d7b05"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "tier1_edited_videos",
+      "name": "tier1_edited_videos",
+      "description": "389 edited MP4 videos (tier-1). One file per Flickr ID.",
+      "encodingFormat": "video/mp4",
+      "includes": "tier1_edited_videos/*.mp4"
+    }
+  ],
+  "recordSet": [
+    {
+      "@type": "cr:RecordSet",
+      "@id": "videos",
+      "name": "videos",
+      "description": "Per-video records derived from metadata.json.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "videos/id",
+          "name": "id",
+          "description": "Original NExT-QA / Flickr photo ID.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "metadata.json"
+            },
+            "extract": {
+              "jsonPath": "$[*].id"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "videos/tier",
+          "name": "tier",
+          "description": "Release tier: T1 (edited video shipped) or T2 (reproduce locally).",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "metadata.json"
+            },
+            "extract": {
+              "jsonPath": "$[*].tier"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "videos/prompt_word",
+          "name": "prompt_word",
+          "description": "SAM3 free-text prompt used to segment the target entity for removal.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "metadata.json"
+            },
+            "extract": {
+              "jsonPath": "$[*].prompt_word"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "videos/license",
+          "name": "license",
+          "description": "Source clip's original Creative Commons license (YFCC100M).",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "metadata.json"
+            },
+            "extract": {
+              "jsonPath": "$[*].license"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "videos/flickr_url",
+          "name": "flickr_url",
+          "description": "URL of the original Flickr photo/video page.",
+          "dataType": "sc:URL",
+          "source": {
+            "fileObject": {
+              "@id": "metadata.json"
+            },
+            "extract": {
+              "jsonPath": "$[*].flickr_url"
+            }
+          }
+        }
+      ]
+    }
+  ],
+  "rai:dataCollection": "Source videos were drawn from NExT-QA's validation split, which in turn sources from VidOR / YFCC100M (publicly hosted Flickr videos under Creative Commons licenses). SAM3 segmentation prompts for each video were produced by a three-stage Claude Sonnet LLM pipeline applied to NExT-QA questions and answers. Segmentation was performed by SAM3 (transformers 5.0.x-dev) and inpainting by DiffuEraser (BrushNet + SD 1.5 UNet + ProPainter prior).",
+  "rai:dataUseCases": [
+    "Evaluating whether Video Question Answering models rely on visual evidence or language priors.",
+    "Studying calibration and abstention behavior in VLMs under counterfactual visual edits.",
+    "Developing methods for evidence-aware video understanding."
+  ],
+  "rai:dataLimitations": "Videos are edited by diffusion-based inpainting; visible artifacts (residual textures, boundary blur, temporal flicker, color inconsistencies) are present at varying severity. Benchmark validity rests on whether the target evidence is visually absent and not recoverable from residual cues, not on edit cleanliness (see datasheet and main paper). The evaluation set is in English and reflects the activity and scene distribution of NExT-QA.",
+  "rai:dataBiases": "Inherits the scene, activity, demographic, and geographic biases of NExT-QA, which itself inherits those of VidOR and YFCC100M (Flickr Creative Commons uploads, skewed toward English-speaking regions). Diffusion inpainting may propagate learned biases of the DiffuEraser prior (Stable Diffusion 1.5 era).",
+  "rai:personalSensitiveInformation": "Source clips are public Flickr videos and may incidentally contain recognizable faces or other personal information. No additional PII was introduced by the editing pipeline. Users are bound by the original Flickr uploader's Creative Commons terms.",
+  "rai:dataSocialImpact": [
+    "Positive: supports rigorous evaluation of video-language models' reliance on visual evidence, helping surface models that rely on priors rather than perception. Risk: synthetic edits could be misused for training deceptive content; the non-commercial license and research-only framing mitigates this. Benchmark does not contain harmful content beyond what is in the NExT-QA source."
+  ],
+  "rai:dataAnnotationProtocol": "Per-video SAM3 prompts were produced by an automated three-stage Claude Sonnet pipeline that selects a single unambiguous target entity per video. No human annotation was performed for tier assignment or prompt selection. Human evaluation of edit quality and entity recoverability is described in the main paper.",
+  "rai:sourceDatasets": [
+    {
+      "@type": "sc:Dataset",
+      "name": "NExT-QA",
+      "url": "https://github.com/doc-doc/NExT-QA",
+      "description": "Xiao et al., CVPR 2021. Provides source videos and QA pairs."
+    },
+    {
+      "@type": "sc:Dataset",
+      "name": "YFCC100M",
+      "url": "https://multimediacommons.wordpress.com/yfcc100m-core-dataset/",
+      "description": "Thomee et al., CACM 2016. Ultimate source of Flickr videos with per-clip CC license."
+    }
+  ],
+  "rai:syntheticData": "Yes. Each tier-1 video has had a target entity removed via diffusion inpainting (SAM3 segmentation + DiffuEraser). Tier-2 entries ship as metadata only; users reproduce the same edits locally with the published pipeline."
+}

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reproduce_tier2/reproduce.sh ADDED Viewed

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+#!/usr/bin/env bash
+# Reproduce edited videos for the 181 tier-2 (ND-licensed) clips by running
+# the published NExT-CF pipeline locally. Requires: NExT-QA video download,
+# a CUDA GPU, and the NExT-CF code repo cloned alongside this dataset.
+set -euo pipefail
+NEXTQA_DIR="${NEXTQA_DIR:-/path/to/NExTVideo}"
+CODE_DIR="${CODE_DIR:-/path/to/nextcf-code}"
+OUT_DIR="${OUT_DIR:-./tier2_edited_videos}"
+if [ ! -d "$NEXTQA_DIR" ]; then
+    echo "ERROR: set NEXTQA_DIR to your NExT-QA video directory" >&2
+    exit 1
+fi
+if [ ! -d "$CODE_DIR" ]; then
+    echo "ERROR: set CODE_DIR to your nextcf-code clone" >&2
+    exit 1
+fi
+mkdir -p "$OUT_DIR"
+cd "$CODE_DIR"
+python batch_runner.py \
+    --video-dir "$NEXTQA_DIR" \
+    --prompt-file "$(realpath "$(dirname "$0")/tier2_manifest.csv")" \
+    --edit remove \
+    --edit-backend diffueraser \
+    --out "$OUT_DIR"
+echo "Reproduction complete: edited videos in $OUT_DIR"

reproduce_tier2/tier2_manifest.csv ADDED Viewed

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+flickr_id,prompt_word,nextqa_video_path,license
+2400715506,small animal,$NEXTQA_DIR/1002/2400715506.mp4,CC-BY-NC-ND 2.0
+2434859163,polar bear,$NEXTQA_DIR/0015/2434859163.mp4,CC-BY-NC-ND 2.0
+2435633172,pig,$NEXTQA_DIR/0040/2435633172.mp4,CC-BY-NC-ND 2.0
+2454242177,baby,$NEXTQA_DIR/0020/2454242177.mp4,CC-BY-NC-ND 2.0
+2495861393,woman,$NEXTQA_DIR/1007/2495861393.mp4,CC-BY-NC-ND 2.0
+2552130183,baby,$NEXTQA_DIR/1000/2552130183.mp4,CC-BY-NC-ND 2.0
+2559262403,pug,$NEXTQA_DIR/1000/2559262403.mp4,CC-BY-NC-ND 2.0
+2567843468,girl,$NEXTQA_DIR/0023/2567843468.mp4,CC-BY-NC-ND 2.0
+2584172238,boy in blue,$NEXTQA_DIR/1110/2584172238.mp4,CC-BY-NC-ND 2.0
+2589540862,girl,$NEXTQA_DIR/1102/2589540862.mp4,CC-BY-NC-ND 2.0
+2596300565,baby,$NEXTQA_DIR/0022/2596300565.mp4,CC-BY-NC-ND 2.0
+2604394962,man,$NEXTQA_DIR/0041/2604394962.mp4,CC-BY-NC-ND 2.0
+2623954636,boy,$NEXTQA_DIR/1017/2623954636.mp4,CC-BY-NC-ND 2.0
+2679130168,girl,$NEXTQA_DIR/0061/2679130168.mp4,CC-BY-NC-ND 2.0
+2712662377,turtle,$NEXTQA_DIR/1202/2712662377.mp4,CC-BY-NC-ND 2.0
+2716277960,man,$NEXTQA_DIR/1000/2716277960.mp4,CC-BY-NC-ND 2.0
+2731071928,girl,$NEXTQA_DIR/1023/2731071928.mp4,CC-BY-NC-ND 2.0
+2771402761,girl,$NEXTQA_DIR/1019/2771402761.mp4,CC-BY-NC-ND 2.0
+2782658657,girl in pink,$NEXTQA_DIR/1011/2782658657.mp4,CC-BY-NC-ND 2.0
+2796821016,boy in striped shirt,$NEXTQA_DIR/1155/2796821016.mp4,CC-BY-NC-ND 2.0
+2835125654,elephant,$NEXTQA_DIR/0040/2835125654.mp4,CC-BY-NC-ND 2.0
+2854886555,boy,$NEXTQA_DIR/1000/2854886555.mp4,CC-BY-ND 2.0
+2871995580,boy,$NEXTQA_DIR/0013/2871995580.mp4,CC-BY-ND 2.0
+2925298951,woman in red,$NEXTQA_DIR/1021/2925298951.mp4,CC-BY-ND 2.0
+2930782930,woman,$NEXTQA_DIR/1014/2930782930.mp4,CC-BY-NC-ND 2.0
+2957808913,man in black jacket,$NEXTQA_DIR/0042/2957808913.mp4,CC-BY-NC-ND 2.0
+2984974097,girl,$NEXTQA_DIR/1011/2984974097.mp4,CC-BY-NC-ND 2.0
+2987766537,baby,$NEXTQA_DIR/1103/2987766537.mp4,CC-BY-NC-ND 2.0
+3049351381,baby,$NEXTQA_DIR/1101/3049351381.mp4,CC-BY-ND 2.0
+3078294001,man in white,$NEXTQA_DIR/1051/3078294001.mp4,CC-BY-NC-ND 2.0
+3105728894,man in blue clothing,$NEXTQA_DIR/0028/3105728894.mp4,CC-BY-NC-ND 2.0
+3112351937,shirtless man,$NEXTQA_DIR/1122/3112351937.mp4,CC-BY-NC-ND 2.0
+3131380536,child,$NEXTQA_DIR/0095/3131380536.mp4,CC-BY-NC-ND 2.0
+3145698830,baby,$NEXTQA_DIR/1124/3145698830.mp4,CC-BY-NC-ND 2.0
+3151715056,little girl,$NEXTQA_DIR/0049/3151715056.mp4,CC-BY-NC-ND 2.0
+3155382178,woman,$NEXTQA_DIR/1018/3155382178.mp4,CC-BY-NC-ND 2.0
+3194558043,man in black,$NEXTQA_DIR/1015/3194558043.mp4,CC-BY-NC-ND 2.0
+3206694342,boy,$NEXTQA_DIR/1001/3206694342.mp4,CC-BY-ND 2.0
+3233088823,bulldozer,$NEXTQA_DIR/1130/3233088823.mp4,CC-BY-NC-ND 2.0
+3321261856,girl,$NEXTQA_DIR/1101/3321261856.mp4,CC-BY-NC-ND 2.0
+3340340268,girl in green,$NEXTQA_DIR/1001/3340340268.mp4,CC-BY-NC-ND 2.0
+3345608051,dog,$NEXTQA_DIR/1203/3345608051.mp4,CC-BY-NC-ND 2.0
+3375218204,man,$NEXTQA_DIR/1028/3375218204.mp4,CC-BY-ND 2.0
+3383804222,baby panda,$NEXTQA_DIR/0072/3383804222.mp4,CC-BY-NC-ND 2.0
+3429509208,baby,$NEXTQA_DIR/0039/3429509208.mp4,CC-BY-NC-ND 2.0
+3441428429,woman in costume,$NEXTQA_DIR/1103/3441428429.mp4,CC-BY-ND 2.0
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