Datasets:
File size: 2,440 Bytes
1103bfe 62aea97 1103bfe 62aea97 1103bfe 62aea97 1103bfe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | # Download the benchmark
For video preparation, first apply for [Ego4D access](https://ego4d-data.org/docs/start-here/). Approval may take time; request access before starting the video download.
Install the evaluation package and FFmpeg, then copy `.env.example` to `.env`.
## Ego4D access
Apply through the [official Ego4D page](https://ego4d-data.org/docs/start-here/). Once approved, paste the supplied AWS **Access Key ID** and **Secret Access Key** into these fields in your local `.env`:
```dotenv
EGO4D_ACCESS_KEY_ID=
EGO4D_SECRET_ACCESS_KEY=
```
Configure the supplied key pair in your local `.env`. The script passes it only to the official Ego4D downloader through a temporary local AWS profile, which is deleted after use. PsycheMME does not log the keys or upload them to GitHub or Hugging Face.
Fill `EGO4D_SESSION_TOKEN` only if it was included in your official credentials. An existing named AWS profile can be used instead through `EGO4D_PROFILE`.
## Prepare all videos
```bash
bash scripts/download.sh
```
The script downloads annotations and the other seven video sources from Hugging Face. For Ego4D it uses the official downloader to fetch only the **76 source videos** needed for the benchmark, then prepares **142 clips** at the recorded source offsets using the benchmark's video and loudness-processing recipe. All **630 clips** are placed in `data/PsycheMME/benchmark/media/video/` with their existing media IDs.
Allow approximately **76 GB** for the **48.3 GB** Ego4D source cache and **27.6 GB** prepared benchmark media tree, plus temporary files and frame caches. Source videos are reused on subsequent runs. The official CLI handles its download cache; completed clips are checked and reused after interruption. Renew expired credentials through Ego4D and rerun the same command.
If you already downloaded the official Ego4D originals, set `EGO4D_SOURCE_DIR` to that download root or its `v2/full_scale/` directory. Existing originals are used directly.
Preparation writes `metadata/media.local.jsonl`, the local video index used by `scripts/evaluate.sh`. Questions, references, ASR and the published metadata remain unchanged.
## Evaluate
Configure the model and Judge fields in `.env`, then run:
```bash
bash scripts/evaluate.sh
```
This also prepares missing media, so the separate download command is optional.
For annotations only:
```bash
bash scripts/download.sh --metadata-only
```
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