Add a small sample of MOZAIC

DATASHEET.md

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+# MOZAIC: Datasheet
+
+## 1. Why it was made
+
+MOZAIC is for training and testing audio-visual deepfake detectors in a controlled way. The same
+real clip appears in all four classes, every clip goes through the same final encoding, and known
+shortcuts were measured and removed where possible, so a detector has to find the fake, not a side
+effect of how the data was made. Made by: Vector Institute with AIXPERT. Funding:
+
+## 2. What is in it
+
+- **Clips:** 137,745 talking-face videos with sound.
+- **People:** 1,000 from the VoxCeleb2 dev set, half men and half women: public figures in
+  interview and talk videos from YouTube.
+- **Pairs:** a source clip (person A speaking) and a target person (B, same gender). One pair gives
+  four classes: RVRA, RVFA, FVRA, FVFA. 7,590 pairs at 77 frames, 7,424 at 153 frames.
+- **Arms:** `main`, and `vocoded` for RVRA and FVRA (the same clip with its voice passed through
+  BigVGAN; the label does not change).
+- **Lengths:** 77 frames (3.08 s) and 153 frames (6.12 s); the two lengths use different source
+  clips. Animate is 77 frames only: at 6 s its output blurred, which would let a detector find it
+  by blur alone.
+- **Splits:** by person, with equal numbers of men and women. Both people of a pair are in the same
+  split, and nobody appears in two splits.
+- **Per clip:** label, generators, length, arm, split, whose face, whose voice, gender.
+- **Per pair:** the source and target clips used, and which generators kept it.
+- **Personal data:** VoxCeleb2 ids and gender (from VoxCeleb2's metadata). No names.
+- **Real clips** are stored once per length and shared by all generators.
+- **Questions:** four tasks, in `qas/` and `qas_small/`: T1 which part of a clip is fake, T2 how the
+  video was made, T3 whether a clip is real or fake and the same person as a second clip, T4 a written
+  explanation (MOZAIC-Small only). T1 to T3 answers come from the clip's labels. T4 answers were written
+  by language models from those labels and checked by code and a second model. Counts are in `README.md`.
+- **MOZAIC-Small:** 16,995 clips from 1,858 whole pairs, drawn per split to mirror the full mix (seed 7),
+  with every person the source of at least one pair. It shares the full set's videos.
+
+## 3. How it was made
+
+- **Source:** VoxCeleb2 dev set, from a public mirror, checked against the official VoxCeleb2
+  checksums. Each clip was cut from its start to 77 or 153 frames, 224x224, 25 fps, 16 kHz mono.
+- **Fake faces:** FaceFusion (inswapper_128_fp16) swaps the inner face. Wan2.2-S2V-14B (480p,
+  40 steps, cfg 4.5) makes the whole video from one picture of the target plus the audio, at 16 fps,
+  retimed to 25 fps. Wan2.2-Animate-14B, replace mode, 480p.
+- **Fake voices:** Seed-VC (5 steps, cfg 0.3) turns the source's speech into the target's voice,
+  using one reference recording of the target (another of the target's VoxCeleb2 clips, never from
+  the session the face picture came from); it is listed per pair in `pairs.jsonl`.
+- **Vocoded voices:** real audio passed through BigVGAN v2 (22 kHz), the same vocoder and settings
+  Seed-VC uses, without the conversion.
+- **Final step, the same for every clip of every class:** brightness, colour and loudness brought
+  to fixed targets; H.264 (crf 18) video and PCM audio; no silence trimmed. For the release, encoder
+  version text was removed from every file by rewriting the container (no re-encoding; every file
+  was checked to decode to exactly the same picture, sound and timing as before). Then every clip
+  got the same 1:1 aspect-ratio tag and the same start of sound (50 ms of silence, then a 10 ms
+  fade-in); every file was checked to decode to exactly its source picture, and to its source sound
+  with that start.
+- **Reproducibility:** the pair draw used seed 42; every Seed-VC, S2V and Animate job used its own
+  fixed seed, recorded in our build records; FaceFusion has no random sampling.
+
+## 4. Quality gate
+
+Every pair was checked separately for each generator; pairs that failed were removed.
+
+| Check | What it tests | Tool |
+|---|---|---|
+| Face | The fake looks like the target, not the source | ArcFace (insightface buffalo_l), 8 frames |
+| Picture | Flicker, melting and sharpness, compared with the real clip | our own measures |
+| Voice | The fake voice sounds like the target's reference recording; the vocoded voice still sounds like the source | ECAPA speaker model (SpeechBrain) |
+| Lip sync | Lips match the sound | SyncNet, on a sample of about 10% of pairs |
+
+- **Limits:** taken from real clips only (what 95%, or 99% for flicker, of real recordings do),
+  except three judgement calls: face at least 0.30, melt at most 2.0, sharpness at least 0.5. Frozen
+  on 5 Sep 2026, last changed on 14 Sep 2026; the first batch was used to set them.
+- **Two tests are switched off for one generator each:** "too much of the source face left" for
+  FaceFusion (it keeps the source's hair and head by design) and "melting" for S2V (it invents its
+  own head movement).
+- **Repeatability:** scoring the same clips twice on different machines gave identical numbers.
+- **Voice scores** were measured again on the released sound, after the final
+  start-of-sound step, with the gate's own model and code; re-scoring the sound the gate checked
+  reproduced its numbers within 0.0003. The 15 pairs that then fell just below the voice limit were
+  removed, so every released pair passes every gate rule on the released files.
+- **Human checks:** people did not watch every clip; visual checks were done on samples.
+
+Pairs kept per generator:
+
+| Generator | Length | Pairs kept |
+|---|---|---|
+| facefusion | 77f | 7,020 of 8,000 (88%) |
+| facefusion | 153f | 6,835 of 8,000 (85%) |
+| s2v | 77f | 6,360 of 8,000 (80%) |
+| s2v | 153f | 6,279 of 8,000 (78%) |
+| animate | 77f | 4,407 of 8,000 (55%) |
+
+## 5. Shortcuts we checked
+
+Measured on this release (October 2026) with simple linear classifiers that see only cheap clues:
+file statistics, picture statistics, frozen ImageNet image features, sound statistics, and the
+silence at the start of the sound. They were always tested on people they had not seen. AUC 0.50
+means no better than guessing and 1.00 a perfect shortcut; 95% ranges in brackets; all clips
+together unless a generator is named.
+
+**Fixed:**
+
+| Shortcut | Before | Now | Fix |
+|---|---|---|---|
+| How the audio is packed in the file | 0.79 (pilot) | 0.50 | PCM audio with fixed framing |
+| A header tag (aspect ratio) set on real clips only | 1.00 | gone: every clip has the same file and stream fields | the same 1:1 tag in every clip |
+| Converted voices fade in over their first 50 ms | 0.74 (0.73-0.75) | 0.57 (0.56-0.57) | 50 ms of silence, then a 10 ms fade-in, at the start of every clip |
+| Brightness and colour | 0.77 (pilot) | 0.49-0.50 for each | per-clip brightness and colour targets |
+| Vocoder sound | 0.83 (pilot) | 0.50 on the vocoded view, 0.61 as shipped | the vocoded real arm |
+
+**Not fixable:**
+
+| Clue | All clips | FaceFusion | Animate | S2V |
+|---|---|---|---|---|
+| How the video is packed in the file | 0.86 (0.85-0.86) | 0.73-0.75 | 0.86 | 1.00 |
+| Picture statistics (sharpness, noise, colour) | 0.71 (0.71-0.72) | 0.68 | 0.73 | 0.79-0.80 |
+| Frozen ImageNet features (ResNet-18, 8 frames) | 0.87 (0.86-0.87) | 0.82-0.83 | 0.93 | 0.94-0.96 |
+| Converted voice, sound statistics | 0.90 (0.89-0.90) | same voices for every generator | | |
+
+Why they stay: generated video compresses differently from camera video (no encoder setting removed
+this; only uncompressed video would, about 1.2 TB); the generators draw faces with less fine detail
+than a camera records; and the voice converter leaves its own trace in the sound.
+
+**Advice:** train on decoded frames, not on file bytes or sizes. To test audio without the vocoder
+trace, use the vocoded view (RVRA vocoded against RVFA, FVRA vocoded and FVFA). Report results per
+generator and per length.
+
+## 6. Known limitations
+
+1. The way the video is packed in the file still differs between real and generated clips
+   (0.86 AUC from file statistics alone; S2V 1.00). Train on decoded frames.
+2. Animate in replace mode redraws the whole frame on VoxCeleb2's tight face crops, so its fakes
+   are closer to a full re-animation (background and clothes can change) than a local face swap.
+3. FaceFusion keeps the source's hair and head shape.
+4. The voice model used for scoring was trained on VoxCeleb, so it has probably heard these people;
+   its scores may read high.
+5. Lip sync was checked on about 10% of pairs only.
+6. Three gate limits are judgement calls, and the first batch both set the limits and is released.
+7. Each generator kept different pairs, so per-generator sets differ; use `pairs.jsonl`.
+8. Same-gender pairs only; gender as recorded by VoxCeleb2 (two values); no age or ethnicity labels.
+9. YouTube interview footage of mixed quality; some clips have on-screen text, black borders, or are
+   greyscale. A few clips with very dark, greyscale or peak-limited sources could not reach the
+   brightness, colour or loudness target exactly.
+10. Short (3 and 6 seconds), low-resolution (224x224) clips.
+11. Generated faces have less fine detail than camera video; generic image features find them
+    (0.87 AUC; FaceFusion 0.82-0.83, Animate 0.93, S2V 0.94-0.96).
+12. Converted voices can be told from real ones by simple sound statistics (0.90 AUC).
+13. The first 60 ms of every clip's sound was changed (50 ms of silence, then a 10 ms fade-in) to
+    remove a start-of-sound shortcut; a weak trace remains (0.57 AUC).
+14. VoxCeleb2 lists one person under two ids (id04048 and id05211, both in training), so there are
+    999 different people. Two YouTube videos appear under people in different splits (id04177 and
+    id04887; id01036 and id00577); a face check and the gender labels show these are different people.
+
+## 7. Uses
+
+- **For:** training and testing deepfake detectors (audio, video or both); studying shortcuts;
+  telling which generator made a fake; studying the effect of clip length.
+- **Not for:** recognising or identifying people; making deepfakes of the people shown; commercial
+  use; anything that could harm the people in it.
+
+## 8. Ethics and consent
+
+- The people in VoxCeleb2 are public figures in public videos; they did not consent to this use.
+  Like other VoxCeleb2-based deepfake datasets (FakeAVCeleb, LAV-DF, AV-Deepfake1M), MOZAIC relies
+  on research-only use and gated access; it adds a removal process.
+- Every fake shows a real person, so misuse is possible; this is limited by the non-commercial
+  licence, access only after accepting the terms, and short low-resolution clips.
+- **Removal:** contact TO FILL. We remove that person's clips, and every fake made with them, in the
+  next version.
+
+## 9. Distribution
+
+Hugging Face. Private now; gated with manual approval when public. Licence: TO FILL, plus terms of use; credit VoxCeleb2. Version 1.0, released
+TO FILL.
+
+## 10. Maintenance
+
+Maintained by Vector Institute with AIXPERT. Errors are fixed in new versions (1.1 and later) with a change log; removed
+clips are listed by id.

README.md

@@ -0,0 +1,363 @@
+---
+pretty_name: MOZAIC
+language:
+- en
+tags:
+- deepfake
+- deepfake-detection
+- audio-visual
+- video
+- audio
+task_categories:
+- video-classification
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: t1_spot_the_fake
+  default: true
+  data_files:
+  - split: train
+    path: qas/t1_spot_the_fake/t1_train.jsonl
+  - split: val
+    path: qas/t1_spot_the_fake/t1_val.jsonl
+  - split: test
+    path: qas/t1_spot_the_fake/t1_test.jsonl
+- config_name: t2_manipulation_type
+  data_files:
+  - split: train
+    path: qas/t2_manipulation_type/t2_train.jsonl
+  - split: val
+    path: qas/t2_manipulation_type/t2_val.jsonl
+  - split: test
+    path: qas/t2_manipulation_type/t2_test.jsonl
+- config_name: t3_identity_check
+  data_files:
+  - split: train
+    path: qas/t3_identity_check/t3_train.jsonl
+  - split: val
+    path: qas/t3_identity_check/t3_val.jsonl
+  - split: test
+    path: qas/t3_identity_check/t3_test.jsonl
+- config_name: t1_spot_the_fake_small
+  data_files:
+  - split: train
+    path: qas_small/t1_spot_the_fake/t1_train.jsonl
+  - split: val
+    path: qas_small/t1_spot_the_fake/t1_val.jsonl
+  - split: test
+    path: qas_small/t1_spot_the_fake/t1_test.jsonl
+- config_name: t2_manipulation_type_small
+  data_files:
+  - split: train
+    path: qas_small/t2_manipulation_type/t2_train.jsonl
+  - split: val
+    path: qas_small/t2_manipulation_type/t2_val.jsonl
+  - split: test
+    path: qas_small/t2_manipulation_type/t2_test.jsonl
+- config_name: t3_identity_check_small
+  data_files:
+  - split: train
+    path: qas_small/t3_identity_check/t3_train.jsonl
+  - split: val
+    path: qas_small/t3_identity_check/t3_val.jsonl
+  - split: test
+    path: qas_small/t3_identity_check/t3_test.jsonl
+- config_name: t4_explanation_small
+  data_files:
+  - split: train
+    path: qas_small/t4_explanation/t4_train.jsonl
+  - split: val
+    path: qas_small/t4_explanation/t4_val.jsonl
+  - split: test
+    path: qas_small/t4_explanation/t4_test.jsonl
+---
+
+<p align="center">
+  <img src="assets/logo-icon-black.png" alt="Vector Institute" width="150" style="display: inline-block; vertical-align: middle;">
+  &nbsp;&nbsp;&nbsp;&nbsp;
+  <img src="assets/AIXPERTLogo.png" alt="AIXPERT" width="220" style="display: inline-block; vertical-align: middle;">
+</p>
+
+# MOZAIC
+
+MOZAIC is an audio-visual deepfake dataset built from VoxCeleb2, with question files for testing
+models. Every clip is a talking face with sound, in one of four classes: real or fake face, crossed
+with real or fake voice. The fakes come from three video generators and one voice converter.
+
+- Pairs at two lengths: 7,590 at 77 frames (3.08 s) and 7,424 at 153 frames (6.12 s)
+- Split by person: nobody in the test split appears in training
+- Four tasks with question files: T1 to T3 on the full set and on MOZAIC-Small, T4 on MOZAIC-Small
+- MOZAIC-Small: a smaller set of whole pairs that mirrors the full one
+
+`DATASHEET.md` says how it was made, what was checked and what its limits are. `summary.json` has
+every count.
+
+Made by Vector Institute with AIXPERT.
+
+## Statistics
+
+| | Clips | Hours | People | Pairs | Questions | Tasks |
+|---|---|---|---|---|---|---|
+| MOZAIC | 137,745 | 169.9 | 1,000 ids | 15,014 | 289,587 | T1 to T3 |
+| MOZAIC-Small | 16,995 | 21.0 | the same 1,000 ids | 1,858 | 47,087 | T1 to T4 |
+
+| Split | Men | Women | Pairs | Clips |
+|---|---|---|---|---|
+| train | 350 | 350 | 10,541 | 96,957 |
+| val | 75 | 75 | 2,232 | 20,553 |
+| test | 75 | 75 | 2,241 | 20,235 |
+
+Gender is as recorded by VoxCeleb2. Across all clips, 51.4% show men and 48.6% show women. MOZAIC has
+no age or race labels. The 1,000 ids are 999 people, because VoxCeleb2 lists one person under two ids.
+
+![Bar charts of questions per task, clips by gender, clips per class and clips per face source](assets/statistics.png)
+
+## Access and licence
+
+This repository is private for now. When it is public, access will be gated with manual approval.
+
+Licence: TO FILL. MOZAIC is built on VoxCeleb2, so please also cite VoxCeleb2.
+
+If you appear in a clip and want it removed, contact: TO FILL. We remove that person's clips, and
+every fake made with them, in the next version.
+
+## The four classes
+
+| Label | Face | Voice | Clips |
+|---|---|---|---|
+| RVRA | real | real | 30,028 |
+| RVFA | real | fake | 15,014 |
+| FVRA | fake | real | 61,802 |
+| FVFA | fake | fake | 30,901 |
+
+## Generators
+
+| Name | Makes | What it does | Clips |
+|---|---|---|---|
+| facefusion | fake face | Swaps the inner face; hair and head stay the original person's | 41,565 |
+| s2v | fake face | Wan2.2-S2V: makes the whole video from one picture of the target plus the audio | 37,917 |
+| animate | fake face | Wan2.2-Animate (replace mode); 77 frames only | 13,221 |
+| seed_vc | fake voice | Seed-VC voice conversion | 45,915 |
+
+**Source and target:** the *source* is the person in the original clip; the *target* is the person
+the fake turns them into. (FaceFusion's own documentation uses these two words the other way round.)
+
+## Arms
+
+- `main`: the clip as made.
+- `vocoded`: the same clip with its real voice passed through BigVGAN, the vocoder Seed-VC uses. The
+  label does not change: a vocoded RVRA clip is still real. This stops "vocoder sound = fake" from
+  being a shortcut.
+
+## Tasks
+
+| Task | Question | Answers | Input | Full: train / val / test | Small: train / val / test |
+|---|---|---|---|---|---|
+| T1 spot the fake | Which part of this audio-visual clip, if any, is AI-generated or manipulated? | the video, the audio, both, neither | frames and sound | 64,638 / 13,702 / 13,490 | 6,664 / 1,332 / 3,334 |
+| T2 manipulation type | Which part of this video, if any, was generated or altered by AI? | real, face swap, full-body swap, fully generated | frames | 32,319 / 6,851 / 6,745 | 3,332 / 666 / 1,667 |
+| T3 identity check | Is the face (or voice) in clip 1 real or fake, and is it the same person as in clip 2? | real, same person; real, different person; fake of this person; fake of a different person | frames of two clips, or sound of two clips | 106,802 / 22,586 / 22,454 | 11,012 / 2,200 / 5,550 |
+| T4 explanation | Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? | a written answer, with its facts in `gt_target` | frames and sound | none | 6,664 / 1,332 / 3,334 |
+
+Which clips each task asks about:
+
+- **T1 and T4:** the vocoded view: RVRA vocoded, RVFA main, FVRA vocoded and FVFA main.
+- **T2:** RVRA main and FVRA main. It is only about the video.
+- **T3:** clip 1 is RVRA main or FVRA main for a face question, RVRA vocoded or RVFA main for a voice
+  question. Clip 2 is a real recording (RVRA main) of the pair's source or target, of the same length,
+  from a YouTube video the pair never used. Each clip 1 is asked twice, once for each person. Four val
+  pairs (source id09056, target id05938) are left out of T3 because the target has no such recording;
+  T1 and T2 still use them.
+
+T1 to T3 answers come from the clip's labels. T4 answers were written by language models from the
+clip's facts, then checked by code and by a second model; each row's `meta` names the models, and those
+models should not be tested on T4. `meta.human_checked` is true on 400 test rows, the set three people
+reviewed.
+
+Do not show a model the file names or question ids: they contain the label.
+
+## MOZAIC-Small
+
+Whole pairs, each Small split drawn from the same full split, in the same mix as the full set, with
+every person the source of at least one pair. Its files sit next to the full ones with `_small` added,
+and every row is the full set's row, unchanged.
+
+Small has no clips of its own: it uses the same `videos/`. T3 on Small also uses 2,913 real clips
+outside `metadata_small.jsonl` as clip 2. They are listed in `metadata.jsonl`.
+
+## Folders
+
+```
+mozaic/
+├── README.md, DATASHEET.md, requirements.txt, assets/
+├── metadata.jsonl           one row per clip with everything about it
+├── metadata_table.parquet   the same rows, typed, for fast loading
+├── pairs.jsonl              one row per pair: its people, clips and the generators that kept it
+├── splits.json              person -> train, val or test
+├── summary.json             version, settings, generators, all counts
+├── the same four files for Small, with _small in their names (no splits file: Small uses the same one)
+├── SHA256SUMS               the sha256 of every clip, manifest and question file
+├── qas/                     T1, T2 and T3: one folder per task, with train, val and test files
+├── qas_small/               the same for Small, and T4
+└── videos/
+    ├── train.tar            26.2 GB
+    ├── val.tar              5.6 GB
+    └── test.tar             5.5 GB
+```
+
+## Download and unpack
+
+The whole dataset is 38 GB. Unpacking needs the same space again, until you delete the tars. You need
+a Hugging Face account with access to this repository, logged in with `hf auth login`.
+
+```bash
+pip install huggingface_hub
+hf download vector-institute/Mozaic --repo-type dataset --local-dir mozaic
+cd mozaic
+for t in videos/*.tar; do tar -xf "$t"; done
+sha256sum -c SHA256SUMS
+```
+
+Every clip then sits at the path in `file_name`: `videos/<label>/<generator>/<length>/<arm>/*.mov`, where
+`<generator>` is `real` for RVRA and `seed_vc` for RVFA. A tar holds each clip unchanged, so its bytes
+are the ones `SHA256SUMS` lists.
+
+To get only the test split's clips (5.5 GB):
+
+```bash
+hf download vector-institute/Mozaic --repo-type dataset --local-dir mozaic --exclude "videos/train.tar" --exclude "videos/val.tar"
+cd mozaic
+tar -xf videos/test.tar
+sha256sum -c --ignore-missing SHA256SUMS
+```
+
+To get one clip, take its `split` and `file_name` from `metadata.jsonl`. It is in `videos/<split>.tar`:
+
+```bash
+tar -xf videos/test.tar videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov
+```
+
+## File names
+
+`<label>__<generator>__<length>__<arm>__<source_clip>__<target_id>.mov`
+
+Example: `FVFA__s2v__153f__main__id00058_6PiUqI-q-1w_00025__id03180.mov`
+
+A clip id such as `id00058_6PiUqI-q-1w_00025` is the VoxCeleb2 clip `id00058/6PiUqI-q-1w/00025`: the
+person is the first 7 characters, the segment the last 5, and the YouTube video id the part in between.
+Video ids can contain `_` and `-`, so do not split names on underscores; read the fields from
+`metadata.jsonl`.
+
+## Video and audio
+
+`.mov`, H.264, 224x224, 25 fps; audio is uncompressed PCM, 16 kHz, mono. Every clip was brought to the
+same brightness, colour and loudness targets (see `summary.json`), and encoder version text was removed
+from every file. Every clip carries the same 1:1 aspect-ratio tag, and every clip's sound starts with
+50 ms of silence and a 10 ms fade-in (converted voices used to fade in on their own). This largely
+removes these differences between real and fake; `DATASHEET.md` (section 5) lists what was measured and
+what remains.
+
+## Question files
+
+One row per question, one file per task and split. Clip paths are relative to the dataset folder.
+
+| Field | Meaning |
+|---|---|
+| `id` | the question's id |
+| `task` | the task's name |
+| `split` | train, val or test |
+| `clips` | the clip paths: one, or two for T3 |
+| `question` | the question text |
+| `options` | the answers to choose from, shuffled per question; for T4 the regions |
+| `part` | T3 only: face or voice |
+| `gt_answer` | the right answer; for T4 the written answer |
+| `gt_label` | the clip's label: RVRA, RVFA, FVRA or FVFA |
+| `gt_target` | the answer as data; for T4 the fake parts, their regions and each part's facts |
+| `gt_target_name` | T2 and T3 only: the answer as an id |
+| `meta` | the clip's generators, frames, arm, people and pair; T3 also says whose recording clip 2 is |
+
+## Manifests
+
+- `metadata.jsonl`, one row per video (137,745 rows), everything about it in one place.
+
+| Field | Type | Meaning |
+|---|---|---|
+| `file_name` | string | path of the video inside the dataset folder |
+| `label` | string | RVRA, RVFA, FVRA or FVFA |
+| `video_generator` | string | real, facefusion, s2v or animate |
+| `audio_generator` | string | none, seed_vc or bigvgan |
+| `length` | string | 77f (3.08 s) or 153f (6.12 s) |
+| `arm` | string | main or vocoded |
+| `split` | string | train, val or test |
+| `face_id` | string | whose face you see (VoxCeleb2 person id) |
+| `voice_id` | string | whose voice you hear (VoxCeleb2 person id) |
+| `gender` | string | m or f |
+| `face_real` | bool | the face is real |
+| `voice_real` | bool | the voice is real |
+| `pair_id` | string | the pair the video belongs to |
+| `source_id` | string | the source person: who is in the original clip |
+| `target_id` | string | the target person: who the fake turns them into |
+| `source_clip` | string | the VoxCeleb2 clip the video was made from |
+| `target_face_clip` | string | the target's clip the face picture came from |
+| `target_voice_clip` | string | the target's recording Seed-VC used as its voice reference |
+| `kept_by` | list of strings | the generators that kept the pair |
+| `sha256` | string | checksum of the video file |
+
+- `metadata_table.parquet`: the same rows and fields as `metadata.jsonl`, with the types above stored in
+  the file, so it loads much faster.
+- `pairs.jsonl`, one row per pair: `pair_id`, `length`, `split`, `gender`, `source_id`, `target_id`,
+  `source_clip`, `target_clips` (`face`: the target clip the face picture came from; `voice`: the target
+  recording Seed-VC used as its voice reference) and `kept_by` (the generators that kept the pair).
+- `splits.json`: person -> split.
+- `summary.json`: version, settings, generators and every count.
+- `SHA256SUMS`: the sha256 of every clip, manifest and question file. It leaves out `README.md`,
+  `DATASHEET.md`, `summary.json` and `summary_small.json`, which are text and may still be edited.
+
+## Loading
+
+`requirements.txt` lists the packages these examples use. The fastest way to read the clip table is
+`metadata_table.parquet`:
+
+```python
+import pandas as pd
+
+clips = pd.read_parquet("mozaic/metadata_table.parquet")
+test_fakes = clips[(clips["split"] == "test") & ~clips["face_real"]]
+```
+
+A task's questions:
+
+```python
+from datasets import load_dataset
+
+t1_test = load_dataset("vector-institute/Mozaic", "t1_spot_the_fake", split="test")
+row = t1_test[0]
+print(row["question"], row["options"], row["gt_answer"], row["clips"])
+```
+
+**One generator only.** Real clips are stored once and shared by all generators, but each generator
+kept different pairs. To build a clean set for one generator, keep the pairs it kept (`kept_by`):
+
+```python
+facefusion_77f = clips[(clips["length"] == "77f")
+                       & clips["kept_by"].apply(lambda kept: "facefusion" in kept)
+                       & clips["video_generator"].isin(["real", "facefusion"])]
+```
+
+## Good to know
+
+- Splits are by person: no face or voice in the test split appears in training.
+- Train on decoded frames, not on file bytes or sizes: how the video is packed still differs between
+  real and generated clips (`DATASHEET.md`, section 5).
+- To test audio without the vocoder trace, use the vocoded view: RVRA vocoded against RVFA, FVRA vocoded
+  and FVFA.
+- Known limitations are listed in `DATASHEET.md`.
+
+## Citation
+
+MOZAIC: TO FILL
+
+VoxCeleb2: Chung, Nagrani, Zisserman. *VoxCeleb2: Deep Speaker Recognition.* Interspeech 2018.
+
+## Changes
+
+- 1.0: first version.

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pairs_small.jsonl

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qas/t1_spot_the_fake/t1_test.jsonl

@@ -0,0 +1,5 @@
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+{"id": "t1_FVRA__facefusion__77f__vocoded__id06015_MynDvGyAQBw_00124__id04126", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id06015_MynDvGyAQBw_00124__id04126.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "both", "neither", "the audio"], "gt_answer": "the video", "gt_label": "FVRA", "gt_target": {"video_fake": 1, "audio_fake": 0}, "meta": {"video_method": "facefusion", "frames": 77, "arm": "vocoded", "source_id": "id06015", "target_id": "id04126", "pair_id": "id06015_MynDvGyAQBw_00124__id04126"}}
+{"id": "t1_RVFA__seed_vc__77f__main__id00144_Ur5FjaqGmhA_00037__id06713", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/RVFA/seed_vc/77f/main/RVFA__seed_vc__77f__main__id00144_Ur5FjaqGmhA_00037__id06713.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "the video", "neither", "the audio"], "gt_answer": "the audio", "gt_label": "RVFA", "gt_target": {"video_fake": 0, "audio_fake": 1}, "meta": {"video_method": "real", "frames": 77, "arm": "main", "source_id": "id00144", "target_id": "id06713", "pair_id": "id00144_Ur5FjaqGmhA_00037__id06713"}}
+{"id": "t1_RVRA__real__77f__vocoded__id09218_uvkBzuYzC48_00273__id08748", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09218_uvkBzuYzC48_00273__id08748.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "neither", "the video", "both"], "gt_answer": "neither", "gt_label": "RVRA", "gt_target": {"video_fake": 0, "audio_fake": 0}, "meta": {"video_method": "real", "frames": 77, "arm": "vocoded", "source_id": "id09218", "target_id": "id08748", "pair_id": "id09218_uvkBzuYzC48_00273__id08748"}}

qas/t1_spot_the_fake/t1_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t1_FVFA__animate__77f__main__id00012_C_FAL9gv8bo_00031__id08805", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00012_C_FAL9gv8bo_00031__id08805.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["neither", "the video", "the audio", "both"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "animate", "frames": 77, "arm": "main", "source_id": "id00012", "target_id": "id08805", "pair_id": "id00012_C_FAL9gv8bo_00031__id08805"}}
+{"id": "t1_FVFA__s2v__153f__main__id06854_JGLwws3Hj2E_00075__id01099", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id06854_JGLwws3Hj2E_00075__id01099.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "the audio", "the video", "neither"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "s2v", "frames": 153, "arm": "main", "source_id": "id06854", "target_id": "id01099", "pair_id": "id06854_JGLwws3Hj2E_00075__id01099"}}
+{"id": "t1_FVRA__facefusion__77f__vocoded__id05101_un6FKLyEYUw_00221__id07431", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05101_un6FKLyEYUw_00221__id07431.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "the audio", "neither", "the video"], "gt_answer": "the video", "gt_label": "FVRA", "gt_target": {"video_fake": 1, "audio_fake": 0}, "meta": {"video_method": "facefusion", "frames": 77, "arm": "vocoded", "source_id": "id05101", "target_id": "id07431", "pair_id": "id05101_un6FKLyEYUw_00221__id07431"}}
+{"id": "t1_RVFA__seed_vc__153f__main__id08605_I0xUbtgr16A_00023__id04404", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/RVFA/seed_vc/153f/main/RVFA__seed_vc__153f__main__id08605_I0xUbtgr16A_00023__id04404.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["neither", "the audio", "the video", "both"], "gt_answer": "the audio", "gt_label": "RVFA", "gt_target": {"video_fake": 0, "audio_fake": 1}, "meta": {"video_method": "real", "frames": 153, "arm": "main", "source_id": "id08605", "target_id": "id04404", "pair_id": "id08605_I0xUbtgr16A_00023__id04404"}}
+{"id": "t1_RVRA__real__77f__vocoded__id09252_eTkP66J-vUg_00227__id02245", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09252_eTkP66J-vUg_00227__id02245.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "the audio", "neither", "the video"], "gt_answer": "neither", "gt_label": "RVRA", "gt_target": {"video_fake": 0, "audio_fake": 0}, "meta": {"video_method": "real", "frames": 77, "arm": "vocoded", "source_id": "id09252", "target_id": "id02245", "pair_id": "id09252_eTkP66J-vUg_00227__id02245"}}

qas/t1_spot_the_fake/t1_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t1_FVFA__animate__77f__main__id00039_ih43LTJXyUI_00035__id05284", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00039_ih43LTJXyUI_00035__id05284.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "neither", "the video", "the audio"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "animate", "frames": 77, "arm": "main", "source_id": "id00039", "target_id": "id05284", "pair_id": "id00039_ih43LTJXyUI_00035__id05284"}}
+{"id": "t1_FVFA__s2v__153f__main__id07511_FPcUH8RDecs_00050__id07733", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id07511_FPcUH8RDecs_00050__id07733.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "neither", "both"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "s2v", "frames": 153, "arm": "main", "source_id": "id07511", "target_id": "id07733", "pair_id": "id07511_FPcUH8RDecs_00050__id07733"}}
+{"id": "t1_FVRA__facefusion__77f__vocoded__id04899_Y3_vmCX3Nlk_00044__id02295", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id04899_Y3_vmCX3Nlk_00044__id02295.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "neither", "both"], "gt_answer": "the video", "gt_label": "FVRA", "gt_target": {"video_fake": 1, "audio_fake": 0}, "meta": {"video_method": "facefusion", "frames": 77, "arm": "vocoded", "source_id": "id04899", "target_id": "id02295", "pair_id": "id04899_Y3_vmCX3Nlk_00044__id02295"}}
+{"id": "t1_RVFA__seed_vc__153f__main__id08898_4ey4kqqUxoI_00010__id02954", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/RVFA/seed_vc/153f/main/RVFA__seed_vc__153f__main__id08898_4ey4kqqUxoI_00010__id02954.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "both", "neither", "the video"], "gt_answer": "the audio", "gt_label": "RVFA", "gt_target": {"video_fake": 0, "audio_fake": 1}, "meta": {"video_method": "real", "frames": 153, "arm": "main", "source_id": "id08898", "target_id": "id02954", "pair_id": "id08898_4ey4kqqUxoI_00010__id02954"}}
+{"id": "t1_RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "both", "neither"], "gt_answer": "neither", "gt_label": "RVRA", "gt_target": {"video_fake": 0, "audio_fake": 0}, "meta": {"video_method": "real", "frames": 77, "arm": "vocoded", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230"}}

qas/t2_manipulation_type/t2_test.jsonl

@@ -0,0 +1,5 @@
+{"id": "t2_FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "full-body swap", "real", "fully generated"], "gt_answer": "full-body swap", "gt_label": "FVRA", "gt_target": 3, "gt_target_name": "full_body_swap", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id00330", "pair_id": "id00024_3ysHAigPe68_00005__id00330"}}
+{"id": "t2_FVRA__facefusion__77f__main__id00509_tpDTuxBwXBs_00063__id04278", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/FVRA/facefusion/77f/main/FVRA__facefusion__77f__main__id00509_tpDTuxBwXBs_00063__id04278.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "face swap", "full-body swap", "real"], "gt_answer": "face swap", "gt_label": "FVRA", "gt_target": 1, "gt_target_name": "face_swap", "meta": {"video_method": "facefusion", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00509", "target_id": "id04278", "pair_id": "id00509_tpDTuxBwXBs_00063__id04278"}}
+{"id": "t2_FVRA__s2v__153f__main__id07697_3ysHlmEOElg_00020__id05444", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/FVRA/s2v/153f/main/FVRA__s2v__153f__main__id07697_3ysHlmEOElg_00020__id05444.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "full-body swap", "real", "fully generated"], "gt_answer": "fully generated", "gt_label": "FVRA", "gt_target": 2, "gt_target_name": "fully_generated", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id07697", "target_id": "id05444", "pair_id": "id07697_3ysHlmEOElg_00020__id05444"}}
+{"id": "t2_RVRA__real__153f__main__id05427_bGkE8GV1Tbo_00166__id07525", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id05427_bGkE8GV1Tbo_00166__id07525.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["full-body swap", "real", "fully generated", "face swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id05427", "target_id": "id07525", "pair_id": "id05427_bGkE8GV1Tbo_00166__id07525"}}
+{"id": "t2_RVRA__real__77f__main__id09218_uvkBzuYzC48_00273__id08748", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id09218_uvkBzuYzC48_00273__id08748.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "full-body swap", "real", "face swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09218", "target_id": "id08748", "pair_id": "id09218_uvkBzuYzC48_00273__id08748"}}

qas/t2_manipulation_type/t2_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t2_FVRA__animate__77f__main__id00012_C_FAL9gv8bo_00031__id08805", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00012_C_FAL9gv8bo_00031__id08805.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "face swap", "real", "full-body swap"], "gt_answer": "full-body swap", "gt_label": "FVRA", "gt_target": 3, "gt_target_name": "full_body_swap", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00012", "target_id": "id08805", "pair_id": "id00012_C_FAL9gv8bo_00031__id08805"}}
+{"id": "t2_FVRA__facefusion__77f__main__id00353_XgccunXvr4A_00271__id05384", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/FVRA/facefusion/77f/main/FVRA__facefusion__77f__main__id00353_XgccunXvr4A_00271__id05384.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "face swap", "fully generated", "full-body swap"], "gt_answer": "face swap", "gt_label": "FVRA", "gt_target": 1, "gt_target_name": "face_swap", "meta": {"video_method": "facefusion", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00353", "target_id": "id05384", "pair_id": "id00353_XgccunXvr4A_00271__id05384"}}
+{"id": "t2_FVRA__s2v__153f__main__id06854_JGLwws3Hj2E_00075__id01099", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/FVRA/s2v/153f/main/FVRA__s2v__153f__main__id06854_JGLwws3Hj2E_00075__id01099.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "face swap", "fully generated", "full-body swap"], "gt_answer": "fully generated", "gt_label": "FVRA", "gt_target": 2, "gt_target_name": "fully_generated", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id06854", "target_id": "id01099", "pair_id": "id06854_JGLwws3Hj2E_00075__id01099"}}
+{"id": "t2_RVRA__real__153f__main__id04417_9mHkJt5jCNc_00055__id03821", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id04417_9mHkJt5jCNc_00055__id03821.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "real", "full-body swap", "face swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id04417", "target_id": "id03821", "pair_id": "id04417_9mHkJt5jCNc_00055__id03821"}}
+{"id": "t2_RVRA__real__77f__main__id09252_eTkP66J-vUg_00227__id02245", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id09252_eTkP66J-vUg_00227__id02245.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "face swap", "real", "full-body swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09252", "target_id": "id02245", "pair_id": "id09252_eTkP66J-vUg_00227__id02245"}}

qas/t2_manipulation_type/t2_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t2_FVRA__animate__77f__main__id00039_ih43LTJXyUI_00035__id05284", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00039_ih43LTJXyUI_00035__id05284.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "face swap", "real", "full-body swap"], "gt_answer": "full-body swap", "gt_label": "FVRA", "gt_target": 3, "gt_target_name": "full_body_swap", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00039", "target_id": "id05284", "pair_id": "id00039_ih43LTJXyUI_00035__id05284"}}
+{"id": "t2_FVRA__facefusion__77f__main__id00251_RcihXNUHG4U_00051__id05722", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/FVRA/facefusion/77f/main/FVRA__facefusion__77f__main__id00251_RcihXNUHG4U_00051__id05722.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "full-body swap", "real", "fully generated"], "gt_answer": "face swap", "gt_label": "FVRA", "gt_target": 1, "gt_target_name": "face_swap", "meta": {"video_method": "facefusion", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00251", "target_id": "id05722", "pair_id": "id00251_RcihXNUHG4U_00051__id05722"}}
+{"id": "t2_FVRA__s2v__153f__main__id07511_FPcUH8RDecs_00050__id07733", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/FVRA/s2v/153f/main/FVRA__s2v__153f__main__id07511_FPcUH8RDecs_00050__id07733.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "full-body swap", "fully generated", "real"], "gt_answer": "fully generated", "gt_label": "FVRA", "gt_target": 2, "gt_target_name": "fully_generated", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id07511", "target_id": "id07733", "pair_id": "id07511_FPcUH8RDecs_00050__id07733"}}
+{"id": "t2_RVRA__real__153f__main__id04695_J-6IHAXAHs4_00028__id04445", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id04695_J-6IHAXAHs4_00028__id04445.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "fully generated", "face swap", "full-body swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id04695", "target_id": "id04445", "pair_id": "id04695_J-6IHAXAHs4_00028__id04445"}}
+{"id": "t2_RVRA__real__77f__main__id09242_eo7a8UdQq44_00053__id04230", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id09242_eo7a8UdQq44_00053__id04230.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "real", "fully generated", "full-body swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230"}}

qas/t3_identity_check/t3_test.jsonl

@@ -0,0 +1,5 @@
+{"id": "t3_face_A_FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330", "task": "task3_identity_check", "split": "test", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00024_q_q9EPRJcMo_00090__id06425.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, different person", "fake of this person", "real, same person"], "part": "face", "gt_answer": "fake of a different person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 0}, "gt_target_name": "fake_different_person", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id00330", "pair_id": "id00024_3ysHAigPe68_00005__id00330", "clip2_person": "A"}}
+{"id": "t3_face_A_RVRA__real__77f__main__id00144_Ur5FjaqGmhA_00037__id06713", "task": "task3_identity_check", "split": "test", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id00144_Ur5FjaqGmhA_00037__id06713.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00144_myrnp6zXitU_00151__id05042.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["real, same person", "real, different person", "fake of this person", "fake of a different person"], "part": "face", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00144", "target_id": "id06713", "pair_id": "id00144_Ur5FjaqGmhA_00037__id06713", "clip2_person": "A"}}
+{"id": "t3_face_B_FVRA__s2v__77f__main__id08940_wDOiMJz8HpY_00067__id06966", "task": "task3_identity_check", "split": "test", "clips": ["videos/FVRA/s2v/77f/main/FVRA__s2v__77f__main__id08940_wDOiMJz8HpY_00067__id06966.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id06966_JeDg1PXRoNk_00060__id05095.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, same person", "real, different person", "fake of this person"], "part": "face", "gt_answer": "fake of this person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 1}, "gt_target_name": "fake_this_person", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id08940", "target_id": "id06966", "pair_id": "id08940_wDOiMJz8HpY_00067__id06966", "clip2_person": "B"}}
+{"id": "t3_voice_A_RVRA__real__77f__vocoded__id00144_Ur5FjaqGmhA_00037__id06713", "task": "task3_identity_check", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id00144_Ur5FjaqGmhA_00037__id06713.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00144_myrnp6zXitU_00151__id05042.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["real, same person", "fake of this person", "real, different person", "fake of a different person"], "part": "voice", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id00144", "target_id": "id06713", "pair_id": "id00144_Ur5FjaqGmhA_00037__id06713", "clip2_person": "A"}}
+{"id": "t3_voice_B_RVRA__real__77f__vocoded__id09218_uvkBzuYzC48_00273__id08748", "task": "task3_identity_check", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09218_uvkBzuYzC48_00273__id08748.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id08748_BtL9HCMFS80_00027__id09218.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of a different person", "real, same person", "real, different person", "fake of this person"], "part": "voice", "gt_answer": "real, different person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 0}, "gt_target_name": "real_different_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09218", "target_id": "id08748", "pair_id": "id09218_uvkBzuYzC48_00273__id08748", "clip2_person": "B"}}

qas/t3_identity_check/t3_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t3_face_A_FVRA__animate__77f__main__id00012_C_FAL9gv8bo_00031__id08805", "task": "task3_identity_check", "split": "train", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00012_C_FAL9gv8bo_00031__id08805.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00012_uCBekiUm-rE_00158__id01768.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of this person", "fake of a different person", "real, different person", "real, same person"], "part": "face", "gt_answer": "fake of a different person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 0}, "gt_target_name": "fake_different_person", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00012", "target_id": "id08805", "pair_id": "id00012_C_FAL9gv8bo_00031__id08805", "clip2_person": "A"}}
+{"id": "t3_face_A_RVRA__real__153f__main__id08605_I0xUbtgr16A_00023__id04404", "task": "task3_identity_check", "split": "train", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id08605_I0xUbtgr16A_00023__id04404.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08605_lWmpcEBiZh4_00098__id04997.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, same person", "real, different person", "fake of this person"], "part": "face", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id08605", "target_id": "id04404", "pair_id": "id08605_I0xUbtgr16A_00023__id04404", "clip2_person": "A"}}
+{"id": "t3_face_B_FVRA__s2v__77f__main__id07783_3oUwfmunzrI_00011__id02948", "task": "task3_identity_check", "split": "train", "clips": ["videos/FVRA/s2v/77f/main/FVRA__s2v__77f__main__id07783_3oUwfmunzrI_00011__id02948.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id02948_GWrXXoAflQI_00123__id00806.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, same person", "fake of this person", "real, different person"], "part": "face", "gt_answer": "fake of this person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 1}, "gt_target_name": "fake_this_person", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id07783", "target_id": "id02948", "pair_id": "id07783_3oUwfmunzrI_00011__id02948", "clip2_person": "B"}}
+{"id": "t3_voice_A_RVRA__real__153f__vocoded__id08605_I0xUbtgr16A_00023__id04404", "task": "task3_identity_check", "split": "train", "clips": ["videos/RVRA/real/153f/vocoded/RVRA__real__153f__vocoded__id08605_I0xUbtgr16A_00023__id04404.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08605_lWmpcEBiZh4_00098__id04997.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["real, different person", "fake of a different person", "fake of this person", "real, same person"], "part": "voice", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 153, "arm": "vocoded", "source_id": "id08605", "target_id": "id04404", "pair_id": "id08605_I0xUbtgr16A_00023__id04404", "clip2_person": "A"}}
+{"id": "t3_voice_B_RVRA__real__77f__vocoded__id09252_eTkP66J-vUg_00227__id02245", "task": "task3_identity_check", "split": "train", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09252_eTkP66J-vUg_00227__id02245.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id02245_R06TIy92g0I_00188__id06963.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of a different person", "real, same person", "fake of this person", "real, different person"], "part": "voice", "gt_answer": "real, different person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 0}, "gt_target_name": "real_different_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09252", "target_id": "id02245", "pair_id": "id09252_eTkP66J-vUg_00227__id02245", "clip2_person": "B"}}

qas/t3_identity_check/t3_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t3_face_A_FVRA__animate__77f__main__id00039_ih43LTJXyUI_00035__id05284", "task": "task3_identity_check", "split": "val", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00039_ih43LTJXyUI_00035__id05284.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00039_y7c_8Xn8G-I_00079__id05237.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["real, same person", "fake of this person", "real, different person", "fake of a different person"], "part": "face", "gt_answer": "fake of a different person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 0}, "gt_target_name": "fake_different_person", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00039", "target_id": "id05284", "pair_id": "id00039_ih43LTJXyUI_00035__id05284", "clip2_person": "A"}}
+{"id": "t3_face_A_RVRA__real__153f__main__id08898_4ey4kqqUxoI_00009__id02954", "task": "task3_identity_check", "split": "val", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id08898_4ey4kqqUxoI_00009__id02954.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08898_g19YLVBbMBo_00058__id07118.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of this person", "real, different person", "real, same person", "fake of a different person"], "part": "face", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id08898", "target_id": "id02954", "pair_id": "id08898_4ey4kqqUxoI_00009__id02954", "clip2_person": "A"}}
+{"id": "t3_face_B_FVRA__s2v__77f__main__id07999_gJpyK0ZBJpc_00055__id07733", "task": "task3_identity_check", "split": "val", "clips": ["videos/FVRA/s2v/77f/main/FVRA__s2v__77f__main__id07999_gJpyK0ZBJpc_00055__id07733.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id07733_nKVHLJG-5N8_00074__id07511.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["real, same person", "real, different person", "fake of a different person", "fake of this person"], "part": "face", "gt_answer": "fake of this person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 1}, "gt_target_name": "fake_this_person", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id07999", "target_id": "id07733", "pair_id": "id07999_gJpyK0ZBJpc_00055__id07733", "clip2_person": "B"}}
+{"id": "t3_voice_A_RVRA__real__153f__vocoded__id08898_4ey4kqqUxoI_00009__id02954", "task": "task3_identity_check", "split": "val", "clips": ["videos/RVRA/real/153f/vocoded/RVRA__real__153f__vocoded__id08898_4ey4kqqUxoI_00009__id02954.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08898_g19YLVBbMBo_00058__id07118.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of this person", "fake of a different person", "real, same person", "real, different person"], "part": "voice", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 153, "arm": "vocoded", "source_id": "id08898", "target_id": "id02954", "pair_id": "id08898_4ey4kqqUxoI_00009__id02954", "clip2_person": "A"}}
+{"id": "t3_voice_B_RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230", "task": "task3_identity_check", "split": "val", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id04230_ZngJAfW6ugw_00073__id03353.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["real, same person", "real, different person", "fake of this person", "fake of a different person"], "part": "voice", "gt_answer": "real, different person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 0}, "gt_target_name": "real_different_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230", "clip2_person": "B"}}

qas_small/t1_spot_the_fake/t1_test.jsonl

@@ -0,0 +1,5 @@
+{"id": "t1_FVFA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "neither", "both"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "animate", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id00330", "pair_id": "id00024_3ysHAigPe68_00005__id00330"}}
+{"id": "t1_FVFA__s2v__153f__main__id07683_kYktUJFf4zo_00087__id06390", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id07683_kYktUJFf4zo_00087__id06390.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "both", "neither", "the video"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "s2v", "frames": 153, "arm": "main", "source_id": "id07683", "target_id": "id06390", "pair_id": "id07683_kYktUJFf4zo_00087__id06390"}}
+{"id": "t1_FVRA__facefusion__77f__vocoded__id05564_5eBl0n59574_00005__id05877", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05564_5eBl0n59574_00005__id05877.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "the video", "the audio", "neither"], "gt_answer": "the video", "gt_label": "FVRA", "gt_target": {"video_fake": 1, "audio_fake": 0}, "meta": {"video_method": "facefusion", "frames": 77, "arm": "vocoded", "source_id": "id05564", "target_id": "id05877", "pair_id": "id05564_5eBl0n59574_00005__id05877"}}
+{"id": "t1_RVFA__seed_vc__77f__main__id00024_UQkbKwSSr68_00054__id05096", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/RVFA/seed_vc/77f/main/RVFA__seed_vc__77f__main__id00024_UQkbKwSSr68_00054__id05096.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "neither", "the audio", "the video"], "gt_answer": "the audio", "gt_label": "RVFA", "gt_target": {"video_fake": 0, "audio_fake": 1}, "meta": {"video_method": "real", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id05096", "pair_id": "id00024_UQkbKwSSr68_00054__id05096"}}
+{"id": "t1_RVRA__real__77f__vocoded__id09218_kL9nzZQyCw0_00219__id01124", "task": "task1_spot_the_fake", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09218_kL9nzZQyCw0_00219__id01124.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "both", "neither", "the video"], "gt_answer": "neither", "gt_label": "RVRA", "gt_target": {"video_fake": 0, "audio_fake": 0}, "meta": {"video_method": "real", "frames": 77, "arm": "vocoded", "source_id": "id09218", "target_id": "id01124", "pair_id": "id09218_kL9nzZQyCw0_00219__id01124"}}

qas_small/t1_spot_the_fake/t1_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t1_FVFA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "neither", "both"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "animate", "frames": 77, "arm": "main", "source_id": "id00043", "target_id": "id01710", "pair_id": "id00043_P1f1n1Ckiq4_00199__id01710"}}
+{"id": "t1_FVFA__s2v__153f__main__id06650_5bWtpXQtr6Q_00015__id01927", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id06650_5bWtpXQtr6Q_00015__id01927.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "both", "neither", "the video"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "s2v", "frames": 153, "arm": "main", "source_id": "id06650", "target_id": "id01927", "pair_id": "id06650_5bWtpXQtr6Q_00015__id01927"}}
+{"id": "t1_FVRA__facefusion__77f__vocoded__id05280_0lTaGNuq0_0_00001__id05750", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05280_0lTaGNuq0_0_00001__id05750.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "both", "neither"], "gt_answer": "the video", "gt_label": "FVRA", "gt_target": {"video_fake": 1, "audio_fake": 0}, "meta": {"video_method": "facefusion", "frames": 77, "arm": "vocoded", "source_id": "id05280", "target_id": "id05750", "pair_id": "id05280_0lTaGNuq0_0_00001__id05750"}}
+{"id": "t1_RVFA__seed_vc__153f__main__id08544_VYnYXu2W4b8_00111__id01450", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/RVFA/seed_vc/153f/main/RVFA__seed_vc__153f__main__id08544_VYnYXu2W4b8_00111__id01450.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "the video", "both", "neither"], "gt_answer": "the audio", "gt_label": "RVFA", "gt_target": {"video_fake": 0, "audio_fake": 1}, "meta": {"video_method": "real", "frames": 153, "arm": "main", "source_id": "id08544", "target_id": "id01450", "pair_id": "id08544_VYnYXu2W4b8_00111__id01450"}}
+{"id": "t1_RVRA__real__77f__vocoded__id09189_mkNYhFmeroQ_00043__id08054", "task": "task1_spot_the_fake", "split": "train", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09189_mkNYhFmeroQ_00043__id08054.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["both", "neither", "the video", "the audio"], "gt_answer": "neither", "gt_label": "RVRA", "gt_target": {"video_fake": 0, "audio_fake": 0}, "meta": {"video_method": "real", "frames": 77, "arm": "vocoded", "source_id": "id09189", "target_id": "id08054", "pair_id": "id09189_mkNYhFmeroQ_00043__id08054"}}

qas_small/t1_spot_the_fake/t1_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t1_FVFA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["neither", "both", "the audio", "the video"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "animate", "frames": 77, "arm": "main", "source_id": "id00259", "target_id": "id03974", "pair_id": "id00259_cY1ePi3eEgE_00081__id03974"}}
+{"id": "t1_FVFA__s2v__153f__main__id07720_ynv60pm6QdU_00163__id00259", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id07720_ynv60pm6QdU_00163__id00259.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["neither", "the audio", "both", "the video"], "gt_answer": "both", "gt_label": "FVFA", "gt_target": {"video_fake": 1, "audio_fake": 1}, "meta": {"video_method": "s2v", "frames": 153, "arm": "main", "source_id": "id07720", "target_id": "id00259", "pair_id": "id07720_ynv60pm6QdU_00163__id00259"}}
+{"id": "t1_FVRA__facefusion__77f__vocoded__id05249_f9A9JCAKeOk_00081__id01778", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05249_f9A9JCAKeOk_00081__id01778.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "both", "neither"], "gt_answer": "the video", "gt_label": "FVRA", "gt_target": {"video_fake": 1, "audio_fake": 0}, "meta": {"video_method": "facefusion", "frames": 77, "arm": "vocoded", "source_id": "id05249", "target_id": "id01778", "pair_id": "id05249_f9A9JCAKeOk_00081__id01778"}}
+{"id": "t1_RVFA__seed_vc__153f__main__id08677_dFpYLRTfD8A_00103__id06996", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/RVFA/seed_vc/153f/main/RVFA__seed_vc__153f__main__id08677_dFpYLRTfD8A_00103__id06996.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the audio", "neither", "both", "the video"], "gt_answer": "the audio", "gt_label": "RVFA", "gt_target": {"video_fake": 0, "audio_fake": 1}, "meta": {"video_method": "real", "frames": 153, "arm": "main", "source_id": "id08677", "target_id": "id06996", "pair_id": "id08677_dFpYLRTfD8A_00103__id06996"}}
+{"id": "t1_RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230", "task": "task1_spot_the_fake", "split": "val", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230.mov"], "question": "Which part of this audio-visual clip, if any, is AI-generated or manipulated? A real recording that was only processed, without changing who is seen or heard, still counts as real.", "options": ["the video", "the audio", "both", "neither"], "gt_answer": "neither", "gt_label": "RVRA", "gt_target": {"video_fake": 0, "audio_fake": 0}, "meta": {"video_method": "real", "frames": 77, "arm": "vocoded", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230"}}

qas_small/t2_manipulation_type/t2_test.jsonl

@@ -0,0 +1,5 @@
+{"id": "t2_FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "full-body swap", "real", "fully generated"], "gt_answer": "full-body swap", "gt_label": "FVRA", "gt_target": 3, "gt_target_name": "full_body_swap", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id00330", "pair_id": "id00024_3ysHAigPe68_00005__id00330"}}
+{"id": "t2_FVRA__facefusion__77f__main__id00330_d1jH7teHNr0_00080__id00024", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/FVRA/facefusion/77f/main/FVRA__facefusion__77f__main__id00330_d1jH7teHNr0_00080__id00024.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "fully generated", "full-body swap", "real"], "gt_answer": "face swap", "gt_label": "FVRA", "gt_target": 1, "gt_target_name": "face_swap", "meta": {"video_method": "facefusion", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00330", "target_id": "id00024", "pair_id": "id00330_d1jH7teHNr0_00080__id00024"}}
+{"id": "t2_FVRA__s2v__153f__main__id07683_kYktUJFf4zo_00087__id06390", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/FVRA/s2v/153f/main/FVRA__s2v__153f__main__id07683_kYktUJFf4zo_00087__id06390.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "full-body swap", "real", "face swap"], "gt_answer": "fully generated", "gt_label": "FVRA", "gt_target": 2, "gt_target_name": "fully_generated", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id07683", "target_id": "id06390", "pair_id": "id07683_kYktUJFf4zo_00087__id06390"}}
+{"id": "t2_RVRA__real__153f__main__id05538_9w4rvvO7ZVw_00036__id09018", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id05538_9w4rvvO7ZVw_00036__id09018.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "face swap", "full-body swap", "real"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id05538", "target_id": "id09018", "pair_id": "id05538_9w4rvvO7ZVw_00036__id09018"}}
+{"id": "t2_RVRA__real__77f__main__id09218_kL9nzZQyCw0_00219__id01124", "task": "task2_manipulation_type", "split": "test", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id09218_kL9nzZQyCw0_00219__id01124.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["full-body swap", "face swap", "fully generated", "real"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09218", "target_id": "id01124", "pair_id": "id09218_kL9nzZQyCw0_00219__id01124"}}

qas_small/t2_manipulation_type/t2_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t2_FVRA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "face swap", "full-body swap", "fully generated"], "gt_answer": "full-body swap", "gt_label": "FVRA", "gt_target": 3, "gt_target_name": "full_body_swap", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00043", "target_id": "id01710", "pair_id": "id00043_P1f1n1Ckiq4_00199__id01710"}}
+{"id": "t2_FVRA__facefusion__77f__main__id00353_kUM2zaz0iG4_00331__id07246", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/FVRA/facefusion/77f/main/FVRA__facefusion__77f__main__id00353_kUM2zaz0iG4_00331__id07246.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["full-body swap", "fully generated", "face swap", "real"], "gt_answer": "face swap", "gt_label": "FVRA", "gt_target": 1, "gt_target_name": "face_swap", "meta": {"video_method": "facefusion", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00353", "target_id": "id07246", "pair_id": "id00353_kUM2zaz0iG4_00331__id07246"}}
+{"id": "t2_FVRA__s2v__153f__main__id06650_5bWtpXQtr6Q_00015__id01927", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/FVRA/s2v/153f/main/FVRA__s2v__153f__main__id06650_5bWtpXQtr6Q_00015__id01927.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "face swap", "full-body swap", "real"], "gt_answer": "fully generated", "gt_label": "FVRA", "gt_target": 2, "gt_target_name": "fully_generated", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id06650", "target_id": "id01927", "pair_id": "id06650_5bWtpXQtr6Q_00015__id01927"}}
+{"id": "t2_RVRA__real__153f__main__id04076_2KNNA0lY00M_00001__id01939", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id04076_2KNNA0lY00M_00001__id01939.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "fully generated", "face swap", "full-body swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id04076", "target_id": "id01939", "pair_id": "id04076_2KNNA0lY00M_00001__id01939"}}
+{"id": "t2_RVRA__real__77f__main__id09189_mkNYhFmeroQ_00043__id08054", "task": "task2_manipulation_type", "split": "train", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id09189_mkNYhFmeroQ_00043__id08054.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["fully generated", "full-body swap", "real", "face swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09189", "target_id": "id08054", "pair_id": "id09189_mkNYhFmeroQ_00043__id08054"}}

qas_small/t2_manipulation_type/t2_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t2_FVRA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "face swap", "fully generated", "full-body swap"], "gt_answer": "full-body swap", "gt_label": "FVRA", "gt_target": 3, "gt_target_name": "full_body_swap", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00259", "target_id": "id03974", "pair_id": "id00259_cY1ePi3eEgE_00081__id03974"}}
+{"id": "t2_FVRA__facefusion__77f__main__id00270_MGZUqimIwbY_00039__id00259", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/FVRA/facefusion/77f/main/FVRA__facefusion__77f__main__id00270_MGZUqimIwbY_00039__id00259.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["full-body swap", "real", "face swap", "fully generated"], "gt_answer": "face swap", "gt_label": "FVRA", "gt_target": 1, "gt_target_name": "face_swap", "meta": {"video_method": "facefusion", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00270", "target_id": "id00259", "pair_id": "id00270_MGZUqimIwbY_00039__id00259"}}
+{"id": "t2_FVRA__s2v__153f__main__id07511_iFUB5AUW4L4_00111__id06848", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/FVRA/s2v/153f/main/FVRA__s2v__153f__main__id07511_iFUB5AUW4L4_00111__id06848.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "fully generated", "face swap", "full-body swap"], "gt_answer": "fully generated", "gt_label": "FVRA", "gt_target": 2, "gt_target_name": "fully_generated", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id07511", "target_id": "id06848", "pair_id": "id07511_iFUB5AUW4L4_00111__id06848"}}
+{"id": "t2_RVRA__real__153f__main__id04422_gUFPKI_rpsE_00127__id05588", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id04422_gUFPKI_rpsE_00127__id05588.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["real", "face swap", "fully generated", "full-body swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id04422", "target_id": "id05588", "pair_id": "id04422_gUFPKI_rpsE_00127__id05588"}}
+{"id": "t2_RVRA__real__77f__main__id09242_eo7a8UdQq44_00053__id04230", "task": "task2_manipulation_type", "split": "val", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id09242_eo7a8UdQq44_00053__id04230.mov"], "question": "Which part of this video, if any, was generated or altered by AI? Ignore normal processing such as brightness, colour or compression.", "options": ["face swap", "real", "fully generated", "full-body swap"], "gt_answer": "real", "gt_label": "RVRA", "gt_target": 0, "gt_target_name": "real", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230"}}

qas_small/t3_identity_check/t3_test.jsonl

@@ -0,0 +1,5 @@
+{"id": "t3_face_A_FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330", "task": "task3_identity_check", "split": "test", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00024_q_q9EPRJcMo_00090__id06425.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, different person", "fake of this person", "real, same person"], "part": "face", "gt_answer": "fake of a different person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 0}, "gt_target_name": "fake_different_person", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id00330", "pair_id": "id00024_3ysHAigPe68_00005__id00330", "clip2_person": "A"}}
+{"id": "t3_face_A_RVRA__real__77f__main__id00024_UQkbKwSSr68_00054__id05096", "task": "task3_identity_check", "split": "test", "clips": ["videos/RVRA/real/77f/main/RVRA__real__77f__main__id00024_UQkbKwSSr68_00054__id05096.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00024_IJ3QWgaZC-g_00038__id03479.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, same person", "real, different person", "fake of this person"], "part": "face", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id05096", "pair_id": "id00024_UQkbKwSSr68_00054__id05096", "clip2_person": "A"}}
+{"id": "t3_face_B_FVRA__s2v__77f__main__id09018_MT7xrj1Tz-o_00041__id05427", "task": "task3_identity_check", "split": "test", "clips": ["videos/FVRA/s2v/77f/main/FVRA__s2v__77f__main__id09018_MT7xrj1Tz-o_00041__id05427.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id05427_gfUrwCVCeTQ_00186__id09018.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of this person", "real, different person", "real, same person", "fake of a different person"], "part": "face", "gt_answer": "fake of this person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 1}, "gt_target_name": "fake_this_person", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id09018", "target_id": "id05427", "pair_id": "id09018_MT7xrj1Tz-o_00041__id05427", "clip2_person": "B"}}
+{"id": "t3_voice_A_RVRA__real__77f__vocoded__id00024_UQkbKwSSr68_00054__id05096", "task": "task3_identity_check", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id00024_UQkbKwSSr68_00054__id05096.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00024_IJ3QWgaZC-g_00038__id03479.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of this person", "real, different person", "real, same person", "fake of a different person"], "part": "voice", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id00024", "target_id": "id05096", "pair_id": "id00024_UQkbKwSSr68_00054__id05096", "clip2_person": "A"}}
+{"id": "t3_voice_B_RVRA__real__77f__vocoded__id09218_kL9nzZQyCw0_00219__id01124", "task": "task3_identity_check", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09218_kL9nzZQyCw0_00219__id01124.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id01124_2hg7q9O8xLo_00022__id08748.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of a different person", "real, different person", "fake of this person", "real, same person"], "part": "voice", "gt_answer": "real, different person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 0}, "gt_target_name": "real_different_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09218", "target_id": "id01124", "pair_id": "id09218_kL9nzZQyCw0_00219__id01124", "clip2_person": "B"}}

qas_small/t3_identity_check/t3_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t3_face_A_FVRA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710", "task": "task3_identity_check", "split": "train", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00043_ilTXxWHfkXM_00389__id02175.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "real, same person", "real, different person", "fake of this person"], "part": "face", "gt_answer": "fake of a different person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 0}, "gt_target_name": "fake_different_person", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00043", "target_id": "id01710", "pair_id": "id00043_P1f1n1Ckiq4_00199__id01710", "clip2_person": "A"}}
+{"id": "t3_face_A_RVRA__real__153f__main__id08544_ppUVulQhwc8_00184__id00672", "task": "task3_identity_check", "split": "train", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id08544_ppUVulQhwc8_00184__id00672.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08544_ezmKayl7rD8_00146__id06782.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["real, same person", "real, different person", "fake of this person", "fake of a different person"], "part": "face", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id08544", "target_id": "id00672", "pair_id": "id08544_ppUVulQhwc8_00184__id00672", "clip2_person": "A"}}
+{"id": "t3_face_B_FVRA__s2v__77f__main__id07744_Wh107pA39OI_00349__id00058", "task": "task3_identity_check", "split": "train", "clips": ["videos/FVRA/s2v/77f/main/FVRA__s2v__77f__main__id07744_Wh107pA39OI_00349__id00058.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00058_8g5-4SScgQs_00047__id06936.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of a different person", "fake of this person", "real, different person", "real, same person"], "part": "face", "gt_answer": "fake of this person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 1}, "gt_target_name": "fake_this_person", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id07744", "target_id": "id00058", "pair_id": "id07744_Wh107pA39OI_00349__id00058", "clip2_person": "B"}}
+{"id": "t3_voice_A_RVRA__real__153f__vocoded__id08544_VYnYXu2W4b8_00111__id01450", "task": "task3_identity_check", "split": "train", "clips": ["videos/RVRA/real/153f/vocoded/RVRA__real__153f__vocoded__id08544_VYnYXu2W4b8_00111__id01450.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08544_ppUVulQhwc8_00184__id00672.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of this person", "fake of a different person", "real, different person", "real, same person"], "part": "voice", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 153, "arm": "vocoded", "source_id": "id08544", "target_id": "id01450", "pair_id": "id08544_VYnYXu2W4b8_00111__id01450", "clip2_person": "A"}}
+{"id": "t3_voice_B_RVRA__real__77f__vocoded__id09189_mkNYhFmeroQ_00043__id08054", "task": "task3_identity_check", "split": "train", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09189_mkNYhFmeroQ_00043__id08054.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id08054_3qO7P4XOObM_00009__id09189.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["fake of this person", "real, different person", "real, same person", "fake of a different person"], "part": "voice", "gt_answer": "real, different person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 0}, "gt_target_name": "real_different_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09189", "target_id": "id08054", "pair_id": "id09189_mkNYhFmeroQ_00043__id08054", "clip2_person": "B"}}

qas_small/t3_identity_check/t3_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t3_face_A_FVRA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974", "task": "task3_identity_check", "split": "val", "clips": ["videos/FVRA/animate/77f/main/FVRA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id00259_YedDpi5d7hM_00066__id02089.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of this person", "real, different person", "fake of a different person", "real, same person"], "part": "face", "gt_answer": "fake of a different person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 0}, "gt_target_name": "fake_different_person", "meta": {"video_method": "animate", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id00259", "target_id": "id03974", "pair_id": "id00259_cY1ePi3eEgE_00081__id03974", "clip2_person": "A"}}
+{"id": "t3_face_A_RVRA__real__153f__main__id08898_4ey4kqqUxoI_00010__id02954", "task": "task3_identity_check", "split": "val", "clips": ["videos/RVRA/real/153f/main/RVRA__real__153f__main__id08898_4ey4kqqUxoI_00010__id02954.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08898_ZqTMrZOhH0A_00025__id07910.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["real, same person", "fake of a different person", "real, different person", "fake of this person"], "part": "face", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "none", "frames": 153, "arm": "main", "source_id": "id08898", "target_id": "id02954", "pair_id": "id08898_4ey4kqqUxoI_00010__id02954", "clip2_person": "A"}}
+{"id": "t3_face_B_FVRA__s2v__77f__main__id07999_FExd4JGPpOc_00015__id07511", "task": "task3_identity_check", "split": "val", "clips": ["videos/FVRA/s2v/77f/main/FVRA__s2v__77f__main__id07999_FExd4JGPpOc_00015__id07511.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id07511_iFUB5AUW4L4_00114__id06848.mov"], "question": "Clip 2 is a real recording of one person. Look only at the faces (the inner face: eyes, nose and mouth). Is the face in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose face it is, still counts as real.", "options": ["fake of this person", "fake of a different person", "real, same person", "real, different person"], "part": "face", "gt_answer": "fake of this person", "gt_label": "FVRA", "gt_target": {"fake": 1, "same_person": 1}, "gt_target_name": "fake_this_person", "meta": {"video_method": "s2v", "audio_method": "none", "frames": 77, "arm": "main", "source_id": "id07999", "target_id": "id07511", "pair_id": "id07999_FExd4JGPpOc_00015__id07511", "clip2_person": "B"}}
+{"id": "t3_voice_A_RVRA__real__153f__vocoded__id08677_dFpYLRTfD8A_00103__id06996", "task": "task3_identity_check", "split": "val", "clips": ["videos/RVRA/real/153f/vocoded/RVRA__real__153f__vocoded__id08677_dFpYLRTfD8A_00103__id06996.mov", "videos/RVRA/real/153f/main/RVRA__real__153f__main__id08677_K7pTrL068Xc_00082__id08903.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["real, different person", "fake of a different person", "fake of this person", "real, same person"], "part": "voice", "gt_answer": "real, same person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 1}, "gt_target_name": "real_same_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 153, "arm": "vocoded", "source_id": "id08677", "target_id": "id06996", "pair_id": "id08677_dFpYLRTfD8A_00103__id06996", "clip2_person": "A"}}
+{"id": "t3_voice_B_RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230", "task": "task3_identity_check", "split": "val", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230.mov", "videos/RVRA/real/77f/main/RVRA__real__77f__main__id04230_ZngJAfW6ugw_00073__id03353.mov"], "question": "Clip 2 is a real recording of one person. Listen only to the voices. Is the voice in clip 1 real or fake, and is it the same person as in clip 2? A real recording that was only processed, without changing whose voice it is, still counts as real.", "options": ["real, same person", "real, different person", "fake of this person", "fake of a different person"], "part": "voice", "gt_answer": "real, different person", "gt_label": "RVRA", "gt_target": {"fake": 0, "same_person": 0}, "gt_target_name": "real_different_person", "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230", "clip2_person": "B"}}

qas_small/t4_explanation/t4_test.jsonl

@@ -0,0 +1,5 @@
+{"id": "t4_FVFA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330", "task": "task4_explanation", "split": "test", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00024_3ysHAigPe68_00005__id00330.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman with long dark hair is shown speaking while seated indoors. She tilts her head slightly and moves her mouth as she addresses the viewer. The whole visual frame, including both the woman and the background, is AI-generated, and this AI-generated presentation stays the same from the beginning of the video to the end. The sound of the clip is a woman speaking about work and family, and she delivers the sentence with a steady, clear cadence. The entire audio presentation is AI-generated, and her voice is AI-altered from the start of the clip to the end.", "gt_label": "FVFA", "gt_target": {"fake_parts": ["video", "audio"], "regions": ["whole frame", "voice"], "parts": {"video": {"fake": true, "region": "whole frame", "method": "animate", "changed": "the whole frame, person and background, is AI-generated", "original": null, "signs": []}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A woman with long dark hair is shown speaking while seated indoors. She tilts her head slightly and moves her mouth as she addresses the viewer. The whole visual frame, including both the woman and the background, is AI-generated, and this AI-generated presentation stays the same from the beginning of the video to the end.", "audio": "The sound of the clip is a woman speaking about work and family, and she delivers the sentence with a steady, clear cadence. The entire audio presentation is AI-generated, and her voice is AI-altered from the start of the clip to the end."}, "evidence": []}, "meta": {"video_method": "animate", "audio_method": "seed_vc", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id00330", "pair_id": "id00024_3ysHAigPe68_00005__id00330", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_FVFA__s2v__153f__main__id07683_kYktUJFf4zo_00087__id06390", "task": "task4_explanation", "split": "test", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id07683_kYktUJFf4zo_00087__id06390.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman in a black halter top holds a microphone and speaks to the camera in an indoor setting, keeping her focus on the viewer. The visuals throughout the sequence are AI-generated, and the whole frame, including the speaker and the background, stays AI-generated from start to finish. A female voice speaks steadily through the recording, and her words form one continuous statement. The audio stream in the clip is AI-generated, and the voice is AI-altered continuously from the beginning to the end.", "gt_label": "FVFA", "gt_target": {"fake_parts": ["video", "audio"], "regions": ["whole frame", "voice"], "parts": {"video": {"fake": true, "region": "whole frame", "method": "s2v", "changed": "the whole frame, person and background, is AI-generated", "original": null, "signs": []}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A woman in a black halter top holds a microphone and speaks to the camera in an indoor setting, keeping her focus on the viewer. The visuals throughout the sequence are AI-generated, and the whole frame, including the speaker and the background, stays AI-generated from start to finish.", "audio": "A female voice speaks steadily through the recording, and her words form one continuous statement. The audio stream in the clip is AI-generated, and the voice is AI-altered continuously from the beginning to the end."}, "evidence": []}, "meta": {"video_method": "s2v", "audio_method": "seed_vc", "frames": 153, "arm": "main", "source_id": "id07683", "target_id": "id06390", "pair_id": "id07683_kYktUJFf4zo_00087__id06390", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_FVRA__facefusion__77f__vocoded__id05564_5eBl0n59574_00005__id05877", "task": "task4_explanation", "split": "test", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05564_5eBl0n59574_00005__id05877.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A man in a dark shirt sits against a dark background and speaks while looking slightly off to the side. Only the inner face of the video is AI-generated; the hair, head, body and background are untouched. His inner face, which covers his eyes, nose, mouth and skin, is AI-generated too, and it stays that way from the start of the clip to the end while he moves subtly. A man speaks in a brief statement about what he eats each day. He says that he has a smaller lunch and an even smaller dinner. The audio is a natural recording, with nothing AI-generated.", "gt_label": "FVRA", "gt_target": {"fake_parts": ["video"], "regions": ["inner face"], "parts": {"video": {"fake": true, "region": "inner face", "method": "facefusion", "changed": "the inner face (eyes, nose, mouth, skin) is AI-generated", "original": "the hair, head shape, body and background are untouched", "signs": []}, "audio": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "the speaker's real voice, passed through a vocoder only"}}, "sections": {"video": "A man in a dark shirt sits against a dark background and speaks while looking slightly off to the side. Only the inner face of the video is AI-generated; the hair, head, body and background are untouched. His inner face, which covers his eyes, nose, mouth and skin, is AI-generated too, and it stays that way from the start of the clip to the end while he moves subtly.", "audio": "A man speaks in a brief statement about what he eats each day. He says that he has a smaller lunch and an even smaller dinner. The audio is a natural recording, with nothing AI-generated."}, "evidence": []}, "meta": {"video_method": "facefusion", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id05564", "target_id": "id05877", "pair_id": "id05564_5eBl0n59574_00005__id05877", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": true}}
+{"id": "t4_RVFA__seed_vc__77f__main__id00024_UQkbKwSSr68_00054__id05096", "task": "task4_explanation", "split": "test", "clips": ["videos/RVFA/seed_vc/77f/main/RVFA__seed_vc__77f__main__id00024_UQkbKwSSr68_00054__id05096.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman appears in an indoor setting, positioned close to the camera. She looks slightly off-camera while she speaks, and her head moves gently as she does. As she keeps speaking, her gaze shifts slightly to her left. She then pauses briefly and resumes her conversation. The video is a natural recording, with nothing AI-generated. A woman speaks in a steady tone about how people react in different situations. She explains that either people do not like you or they tend to make assumptions, and she carries that thought through the whole statement. This sound portion is AI-generated, and her vocal delivery is AI-altered from the start of the clip to the end.", "gt_label": "RVFA", "gt_target": {"fake_parts": ["audio"], "regions": ["voice"], "parts": {"video": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "a camera recording"}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A woman appears in an indoor setting, positioned close to the camera. She looks slightly off-camera while she speaks, and her head moves gently as she does. As she keeps speaking, her gaze shifts slightly to her left. She then pauses briefly and resumes her conversation. The video is a natural recording, with nothing AI-generated.", "audio": "A woman speaks in a steady tone about how people react in different situations. She explains that either people do not like you or they tend to make assumptions, and she carries that thought through the whole statement. This sound portion is AI-generated, and her vocal delivery is AI-altered from the start of the clip to the end."}, "evidence": []}, "meta": {"video_method": "real", "audio_method": "seed_vc", "frames": 77, "arm": "main", "source_id": "id00024", "target_id": "id05096", "pair_id": "id00024_UQkbKwSSr68_00054__id05096", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_RVRA__real__77f__vocoded__id09218_kL9nzZQyCw0_00219__id01124", "task": "task4_explanation", "split": "test", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09218_kL9nzZQyCw0_00219__id01124.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A man in a suit jacket over a white shirt is shown on screen. He is in an indoor setting with other people nearby, and he shifts his gaze slightly while he speaks. The video is a natural recording, with nothing AI-generated. A man speaks during the clip. He states a hope to get something back, and he mentions that forty-two million people were present last year. The audio is a natural recording, with nothing AI-generated.", "gt_label": "RVRA", "gt_target": {"fake_parts": [], "regions": ["none"], "parts": {"video": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "a camera recording"}, "audio": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "the speaker's real voice, passed through a vocoder only"}}, "sections": {"video": "A man in a suit jacket over a white shirt is shown on screen. He is in an indoor setting with other people nearby, and he shifts his gaze slightly while he speaks. The video is a natural recording, with nothing AI-generated.", "audio": "A man speaks during the clip. He states a hope to get something back, and he mentions that forty-two million people were present last year. The audio is a natural recording, with nothing AI-generated."}, "evidence": []}, "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09218", "target_id": "id01124", "pair_id": "id09218_kL9nzZQyCw0_00219__id01124", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}

qas_small/t4_explanation/t4_train.jsonl

@@ -0,0 +1,5 @@
+{"id": "t4_FVFA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710", "task": "task4_explanation", "split": "train", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00043_P1f1n1Ckiq4_00199__id01710.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman with dark hair speaks in front of a dark backdrop. The visual track is AI-generated throughout the sequence, and the entire frame, including the speaker and the background, is AI-generated from start to finish. Her facial features show almost no movement as the clip plays, and her expression stays largely static while she delivers her message. A female voice speaks continuously during the clip. The audio track is AI-generated, and her voice is AI-altered from the beginning to the end. The speech keeps an even tone throughout the presentation.", "gt_label": "FVFA", "gt_target": {"fake_parts": ["video", "audio"], "regions": ["whole frame", "voice"], "parts": {"video": {"fake": true, "region": "whole frame", "method": "animate", "changed": "the whole frame, person and background, is AI-generated", "original": null, "signs": [{"artifact": "unnatural human movement", "meaning": "the face barely moves or changes expression"}]}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A woman with dark hair speaks in front of a dark backdrop. The visual track is AI-generated throughout the sequence, and the entire frame, including the speaker and the background, is AI-generated from start to finish. Her facial features show almost no movement as the clip plays, and her expression stays largely static while she delivers her message.", "audio": "A female voice speaks continuously during the clip. The audio track is AI-generated, and her voice is AI-altered from the beginning to the end. The speech keeps an even tone throughout the presentation."}, "evidence": [{"modality": "video", "artifact": "unnatural human movement", "meaning": "the face barely moves or changes expression"}]}, "meta": {"video_method": "animate", "audio_method": "seed_vc", "frames": 77, "arm": "main", "source_id": "id00043", "target_id": "id01710", "pair_id": "id00043_P1f1n1Ckiq4_00199__id01710", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_FVFA__s2v__153f__main__id06650_5bWtpXQtr6Q_00015__id01927", "task": "task4_explanation", "split": "train", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id06650_5bWtpXQtr6Q_00015__id01927.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A man in a cap and a dark jacket with yellow trim sits indoors and speaks directly toward the camera. The whole visual recording is AI-generated, and this covers the entire frame, both the person and the background, from the start of the clip to the end. The AI-generated composition stays in place for as long as he speaks. A male speaker delivers his spoken lines in a clear, deliberate manner. The sound track is AI-generated, and the voice is AI-altered from the start of the clip to the end. This AI-altered speech carries on until the man finishes speaking.", "gt_label": "FVFA", "gt_target": {"fake_parts": ["video", "audio"], "regions": ["whole frame", "voice"], "parts": {"video": {"fake": true, "region": "whole frame", "method": "s2v", "changed": "the whole frame, person and background, is AI-generated", "original": null, "signs": []}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A man in a cap and a dark jacket with yellow trim sits indoors and speaks directly toward the camera. The whole visual recording is AI-generated, and this covers the entire frame, both the person and the background, from the start of the clip to the end. The AI-generated composition stays in place for as long as he speaks.", "audio": "A male speaker delivers his spoken lines in a clear, deliberate manner. The sound track is AI-generated, and the voice is AI-altered from the start of the clip to the end. This AI-altered speech carries on until the man finishes speaking."}, "evidence": []}, "meta": {"video_method": "s2v", "audio_method": "seed_vc", "frames": 153, "arm": "main", "source_id": "id06650", "target_id": "id01927", "pair_id": "id06650_5bWtpXQtr6Q_00015__id01927", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_FVRA__facefusion__77f__vocoded__id05280_0lTaGNuq0_0_00001__id05750", "task": "task4_explanation", "split": "train", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05280_0lTaGNuq0_0_00001__id05750.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman with long dark hair appears in a close-up while she speaks. Only the inner face of the video is AI-generated; the hair, head, body and background are untouched. Her inner face, including her eyes, nose, mouth and skin, is AI-generated from the start of the clip to the end, and these generated features stay visible as she moves her mouth and delivers her statement. In the soundtrack, a woman speaks about having done something in her life, and she keeps speaking until the clip ends. The audio is a natural recording, with nothing AI-generated.", "gt_label": "FVRA", "gt_target": {"fake_parts": ["video"], "regions": ["inner face"], "parts": {"video": {"fake": true, "region": "inner face", "method": "facefusion", "changed": "the inner face (eyes, nose, mouth, skin) is AI-generated", "original": "the hair, head shape, body and background are untouched", "signs": []}, "audio": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "the speaker's real voice, passed through a vocoder only"}}, "sections": {"video": "A woman with long dark hair appears in a close-up while she speaks. Only the inner face of the video is AI-generated; the hair, head, body and background are untouched. Her inner face, including her eyes, nose, mouth and skin, is AI-generated from the start of the clip to the end, and these generated features stay visible as she moves her mouth and delivers her statement.", "audio": "In the soundtrack, a woman speaks about having done something in her life, and she keeps speaking until the clip ends. The audio is a natural recording, with nothing AI-generated."}, "evidence": []}, "meta": {"video_method": "facefusion", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id05280", "target_id": "id05750", "pair_id": "id05280_0lTaGNuq0_0_00001__id05750", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_RVFA__seed_vc__153f__main__id08544_VYnYXu2W4b8_00111__id01450", "task": "task4_explanation", "split": "train", "clips": ["videos/RVFA/seed_vc/153f/main/RVFA__seed_vc__153f__main__id08544_VYnYXu2W4b8_00111__id01450.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman wearing a cowboy hat appears in an outdoor setting, where she speaks into a microphone while looking toward the camera. Other people and outdoor structures are visible in the background, and she keeps speaking throughout the clip. The video is a natural recording, with nothing AI-generated. A woman in a cowboy hat speaks into a microphone while she talks about a television show and its lead cast members. Her dialogue can be heard over the background noise of the scene. All of the audio in the clip is AI-generated, and her voice is AI-altered from the start of the clip to the end.", "gt_label": "RVFA", "gt_target": {"fake_parts": ["audio"], "regions": ["voice"], "parts": {"video": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "a camera recording"}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A woman wearing a cowboy hat appears in an outdoor setting, where she speaks into a microphone while looking toward the camera. Other people and outdoor structures are visible in the background, and she keeps speaking throughout the clip. The video is a natural recording, with nothing AI-generated.", "audio": "A woman in a cowboy hat speaks into a microphone while she talks about a television show and its lead cast members. Her dialogue can be heard over the background noise of the scene. All of the audio in the clip is AI-generated, and her voice is AI-altered from the start of the clip to the end."}, "evidence": []}, "meta": {"video_method": "real", "audio_method": "seed_vc", "frames": 153, "arm": "main", "source_id": "id08544", "target_id": "id01450", "pair_id": "id08544_VYnYXu2W4b8_00111__id01450", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_RVRA__real__77f__vocoded__id09189_mkNYhFmeroQ_00043__id08054", "task": "task4_explanation", "split": "train", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09189_mkNYhFmeroQ_00043__id08054.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman is shown in a close-up against a bright indoor background. At the start her hand rests near her chin while she speaks, and she soon lowers it away from her chin as she keeps talking. Her gaze stays directed toward the side for the whole clip. The video is a natural recording, with nothing AI-generated. A woman speaks continuously throughout the clip. She starts by saying, \"you can't face it\", goes on to say, \"and then see a bit of movement\", and finishes the phrase with, \"and then it tends\". The audio is a natural recording, with nothing AI-generated.", "gt_label": "RVRA", "gt_target": {"fake_parts": [], "regions": ["none"], "parts": {"video": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "a camera recording"}, "audio": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "the speaker's real voice, passed through a vocoder only"}}, "sections": {"video": "A woman is shown in a close-up against a bright indoor background. At the start her hand rests near her chin while she speaks, and she soon lowers it away from her chin as she keeps talking. Her gaze stays directed toward the side for the whole clip. The video is a natural recording, with nothing AI-generated.", "audio": "A woman speaks continuously throughout the clip. She starts by saying, \"you can't face it\", goes on to say, \"and then see a bit of movement\", and finishes the phrase with, \"and then it tends\". The audio is a natural recording, with nothing AI-generated."}, "evidence": []}, "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09189", "target_id": "id08054", "pair_id": "id09189_mkNYhFmeroQ_00043__id08054", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}

qas_small/t4_explanation/t4_val.jsonl

@@ -0,0 +1,5 @@
+{"id": "t4_FVFA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974", "task": "task4_explanation", "split": "val", "clips": ["videos/FVFA/animate/77f/main/FVFA__animate__77f__main__id00259_cY1ePi3eEgE_00081__id03974.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A blonde woman appears in a close-up view and speaks directly toward the camera, keeping the same position throughout her presentation. The entire video sequence is AI-generated, and from start to finish the complete frame containing the person and the background is AI-generated. A woman's voice speaks continuously during the clip, delivering the words with steady vocal inflection. The audio track is AI-generated throughout, and her voice is AI-altered from the beginning to the end of the clip.", "gt_label": "FVFA", "gt_target": {"fake_parts": ["video", "audio"], "regions": ["whole frame", "voice"], "parts": {"video": {"fake": true, "region": "whole frame", "method": "animate", "changed": "the whole frame, person and background, is AI-generated", "original": null, "signs": []}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A blonde woman appears in a close-up view and speaks directly toward the camera, keeping the same position throughout her presentation. The entire video sequence is AI-generated, and from start to finish the complete frame containing the person and the background is AI-generated.", "audio": "A woman's voice speaks continuously during the clip, delivering the words with steady vocal inflection. The audio track is AI-generated throughout, and her voice is AI-altered from the beginning to the end of the clip."}, "evidence": []}, "meta": {"video_method": "animate", "audio_method": "seed_vc", "frames": 77, "arm": "main", "source_id": "id00259", "target_id": "id03974", "pair_id": "id00259_cY1ePi3eEgE_00081__id03974", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_FVFA__s2v__153f__main__id07720_ynv60pm6QdU_00163__id00259", "task": "task4_explanation", "split": "val", "clips": ["videos/FVFA/s2v/153f/main/FVFA__s2v__153f__main__id07720_ynv60pm6QdU_00163__id00259.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A woman stands in the center of the frame in front of a brick wall and speaks directly to the audience. The visuals showing her and her surroundings are AI-generated, and this covers the entire frame, both the speaker and the background. The AI generation runs continuously from the start of the clip to the end. A woman speaks in the clip, giving a short spoken segment. The soundtrack that goes with the visuals is AI-generated, and her spoken voice is AI-altered. The altered voice continues from the beginning of the clip to the end.", "gt_label": "FVFA", "gt_target": {"fake_parts": ["video", "audio"], "regions": ["whole frame", "voice"], "parts": {"video": {"fake": true, "region": "whole frame", "method": "s2v", "changed": "the whole frame, person and background, is AI-generated", "original": null, "signs": []}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A woman stands in the center of the frame in front of a brick wall and speaks directly to the audience. The visuals showing her and her surroundings are AI-generated, and this covers the entire frame, both the speaker and the background. The AI generation runs continuously from the start of the clip to the end.", "audio": "A woman speaks in the clip, giving a short spoken segment. The soundtrack that goes with the visuals is AI-generated, and her spoken voice is AI-altered. The altered voice continues from the beginning of the clip to the end."}, "evidence": []}, "meta": {"video_method": "s2v", "audio_method": "seed_vc", "frames": 153, "arm": "main", "source_id": "id07720", "target_id": "id00259", "pair_id": "id07720_ynv60pm6QdU_00163__id00259", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_FVRA__facefusion__77f__vocoded__id05249_f9A9JCAKeOk_00081__id01778", "task": "task4_explanation", "split": "val", "clips": ["videos/FVRA/facefusion/77f/vocoded/FVRA__facefusion__77f__vocoded__id05249_f9A9JCAKeOk_00081__id01778.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "The clip shows a man with graying hair and a beard, dressed in a suit, who looks slightly off-camera while he speaks. Only the inner face of the video is AI-generated; the hair, head, body and background are untouched. His inner face, meaning his eyes, nose, mouth and facial skin, is AI-generated from the start of the clip to the end, and his facial features stay synthetic as he keeps addressing the audience. A man is heard speaking in this clip. His statement begins with the word 'bama', and he goes on to say 'and we'. He ends the utterance by adding 'the pieces we've done before the strike'. The audio is a natural recording, with nothing AI-generated.", "gt_label": "FVRA", "gt_target": {"fake_parts": ["video"], "regions": ["inner face"], "parts": {"video": {"fake": true, "region": "inner face", "method": "facefusion", "changed": "the inner face (eyes, nose, mouth, skin) is AI-generated", "original": "the hair, head shape, body and background are untouched", "signs": []}, "audio": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "the speaker's real voice, passed through a vocoder only"}}, "sections": {"video": "The clip shows a man with graying hair and a beard, dressed in a suit, who looks slightly off-camera while he speaks. Only the inner face of the video is AI-generated; the hair, head, body and background are untouched. His inner face, meaning his eyes, nose, mouth and facial skin, is AI-generated from the start of the clip to the end, and his facial features stay synthetic as he keeps addressing the audience.", "audio": "A man is heard speaking in this clip. His statement begins with the word 'bama', and he goes on to say 'and we'. He ends the utterance by adding 'the pieces we've done before the strike'. The audio is a natural recording, with nothing AI-generated."}, "evidence": []}, "meta": {"video_method": "facefusion", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id05249", "target_id": "id01778", "pair_id": "id05249_f9A9JCAKeOk_00081__id01778", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_RVFA__seed_vc__153f__main__id08677_dFpYLRTfD8A_00103__id06996", "task": "task4_explanation", "split": "val", "clips": ["videos/RVFA/seed_vc/153f/main/RVFA__seed_vc__153f__main__id08677_dFpYLRTfD8A_00103__id06996.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A man in dark sunglasses and a black shirt appears in front of a plain background, and the clip keeps him in a close-up shot from start to finish. He moves his head slightly as he speaks toward the camera, and at one point he briefly gestures with his hand near the bottom of the frame. The video is a natural recording, with nothing AI-generated. A man speaks throughout the recording in a low, steady tone, delivering his words in a calm, deliberate manner without significant pauses. The entire audio track for this clip is AI-generated, and his voice is AI-altered from the start of the clip to the end.", "gt_label": "RVFA", "gt_target": {"fake_parts": ["audio"], "regions": ["voice"], "parts": {"video": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "a camera recording"}, "audio": {"fake": true, "region": "voice", "method": "seed_vc", "changed": "the voice is AI-altered", "original": null}}, "sections": {"video": "A man in dark sunglasses and a black shirt appears in front of a plain background, and the clip keeps him in a close-up shot from start to finish. He moves his head slightly as he speaks toward the camera, and at one point he briefly gestures with his hand near the bottom of the frame. The video is a natural recording, with nothing AI-generated.", "audio": "A man speaks throughout the recording in a low, steady tone, delivering his words in a calm, deliberate manner without significant pauses. The entire audio track for this clip is AI-generated, and his voice is AI-altered from the start of the clip to the end."}, "evidence": []}, "meta": {"video_method": "real", "audio_method": "seed_vc", "frames": 153, "arm": "main", "source_id": "id08677", "target_id": "id06996", "pair_id": "id08677_dFpYLRTfD8A_00103__id06996", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}
+{"id": "t4_RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230", "task": "task4_explanation", "split": "val", "clips": ["videos/RVRA/real/77f/vocoded/RVRA__real__77f__vocoded__id09242_eo7a8UdQq44_00053__id04230.mov"], "question": "Which parts of this audio-visual clip, if any, were generated or altered by AI, where, and what in the clip shows it? Normal processing such as compression does not count.", "options": ["none", "inner face", "whole frame", "voice"], "gt_answer": "A man wearing a suit and tie stands indoors with other people behind him. He stays near the center of the frame throughout the sequence, looking slightly to the side while he moves his mouth. The camera holds a stationary view focused on his face. The video is a natural recording, with nothing AI-generated. A man speaks, and his speech begins at the start of the recording and runs across the entire clip. He says, \"I do say that the charter isn't the\". The audio is a natural recording, with nothing AI-generated.", "gt_label": "RVRA", "gt_target": {"fake_parts": [], "regions": ["none"], "parts": {"video": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "a camera recording"}, "audio": {"fake": false, "region": "none", "method": "real", "changed": null, "original": "the speaker's real voice, passed through a vocoder only"}}, "sections": {"video": "A man wearing a suit and tie stands indoors with other people behind him. He stays near the center of the frame throughout the sequence, looking slightly to the side while he moves his mouth. The camera holds a stationary view focused on his face. The video is a natural recording, with nothing AI-generated.", "audio": "A man speaks, and his speech begins at the start of the recording and runs across the entire clip. He says, \"I do say that the charter isn't the\". The audio is a natural recording, with nothing AI-generated."}, "evidence": []}, "meta": {"video_method": "real", "audio_method": "bigvgan", "frames": 77, "arm": "vocoded", "source_id": "id09242", "target_id": "id04230", "pair_id": "id09242_eo7a8UdQq44_00053__id04230", "annotator": "gemini-3.6-flash", "verifier": "claude-sonnet-5-5", "rewriter": "claude-sonnet-5-5", "human_checked": false}}

requirements.txt

@@ -0,0 +1,4 @@
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summary.json

@@ -0,0 +1,206 @@
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+ "release_date": "TO FILL",
+ "cite": "TO FILL",
+ "licence": "TO FILL",
+ "access": "Private now; gated with manual approval when public.",
+ "removal_requests": "TO FILL",
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+  "FVFA": "fake face, fake voice"
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+ "source": {
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+  "people": 1000,
+  "cite": "Chung, Nagrani, Zisserman. VoxCeleb2: Deep Speaker Recognition. Interspeech 2018"
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+   "videos/FVRA/s2v/77f/main": {
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+    "test": 939,
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+   },
+   "videos/FVRA/s2v/77f/vocoded": {
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+    "test": 939,
+    "val": 942
+   },
+   "videos/RVFA/seed_vc/153f/main": {
+    "train": 5226,
+    "test": 1099,
+    "val": 1099
+   },
+   "videos/RVFA/seed_vc/77f/main": {
+    "train": 5315,
+    "test": 1142,
+    "val": 1133
+   },
+   "videos/RVRA/real/153f/main": {
+    "train": 5226,
+    "test": 1099,
+    "val": 1099
+   },
+   "videos/RVRA/real/153f/vocoded": {
+    "train": 5226,
+    "test": 1099,
+    "val": 1099
+   },
+   "videos/RVRA/real/77f/main": {
+    "train": 5315,
+    "test": 1142,
+    "val": 1133
+   },
+   "videos/RVRA/real/77f/vocoded": {
+    "train": 5315,
+    "test": 1142,
+    "val": 1133
+   }
+  }
+ },
+ "people_per_split": {
+  "train": 700,
+  "test": 150,
+  "val": 150
+ }
+}

summary_small.json

@@ -0,0 +1,536 @@
+{
+ "name": "MOZAIC-Small",
+ "version": "1.0",
+ "schema_version": "1.0",
+ "subset": {
+  "name": "small",
+  "of": {
+   "name": "MOZAIC",
+   "version": "1.0"
+  },
+  "seed": 7,
+  "drawn_on": "2026-10-15",
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+      "RVRA real none 77f main": 548
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+      "m": 551
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+      "77f animate+s2v": 18,
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+      "77f facefusion+s2v": 151,
+      "77f s2v": 19
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+      "RVRA": 21082
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+      "RVRA real bigvgan 77f vocoded": 5315,
+      "RVRA real none 153f main": 5226,
+      "RVRA real none 77f main": 5315
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+      "77f facefusion+s2v": 1467,
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+   },
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+      "77f s2v": 50
+     }
+    }
+   }
+  }
+ },
+ "release_date": "TO FILL",
+ "cite": "TO FILL",
+ "licence": "TO FILL",
+ "access": "Private now; gated with manual approval when public.",
+ "removal_requests": "TO FILL",
+ "labels": {
+  "RVRA": "real face, real voice",
+  "RVFA": "real face, fake voice",
+  "FVRA": "fake face, real voice",
+  "FVFA": "fake face, fake voice"
+ },
+ "arms": {
+  "main": "the clip as made",
+  "vocoded": "the same clip with its voice passed through BigVGAN; the label does not change"
+ },
+ "source": {
+  "dataset": "VoxCeleb2 (dev set)",
+  "people": 1000,
+  "cite": "Chung, Nagrani, Zisserman. VoxCeleb2: Deep Speaker Recognition. Interspeech 2018"
+ },
+ "video": {
+  "container": "mov",
+  "codec": "h264 (libx264), crf 18, preset medium, yuv420p",
+  "size": "224x224",
+  "fps": 25,
+  "lengths": {
+   "77f": "77 frames (3.08 s)",
+   "153f": "153 frames (6.12 s)"
+  }
+ },
+ "audio": {
+  "codec": "pcm_s16le",
+  "sample_rate": 16000,
+  "channels": 1
+ },
+ "applied_to_every_clip": {
+  "brightness": {
+   "mode": "per-clip gamma on Y, solved from the clip's own histogram",
+   "target": 72.0,
+   "tolerance": 2.0
+  },
+  "colour": {
+   "mode": "per-clip gain on U/V, solved from the clip's own saturation",
+   "target": 17.0,
+   "tolerance": 0.75
+  },
+  "loudness": {
+   "mode": "peak-capped constant gain",
+   "target_i": -23.0,
+   "true_peak_ceiling": -2.0
+  },
+  "silence_trimmed": false,
+  "sound_start": "first 50 ms silent, then a 10 ms fade-in",
+  "pixel_aspect_ratio": "1:1"
+ },
+ "generators": {
+  "animate": [
+   "animate14b-replace-480p"
+  ],
+  "facefusion": [
+   "facefusion-inswapper128fp16"
+  ],
+  "s2v": [
+   "s2v14b-480p-s40-cfg4.5-retime16to25"
+  ],
+  "seed_vc": [
+   "seedvc-s5-cfg0.3"
+  ],
+  "bigvgan": "nvidia/bigvgan_v2_22khz_80band_256x",
+  "draw_seed": 42
+ },
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+  "pairs": {
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+   "153f": 918
+  },
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+   "FVFA": 3807
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+    "val": 106
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+    "test": 281,
+    "val": 111
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+   }
+  }
+ },
+ "people_per_split": {
+  "train": 700,
+  "test": 150,
+  "val": 150
+ }
+}

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