| --- |
| license: cc0-1.0 |
| task_categories: |
| - other |
| tags: |
| - video-encoding |
| - vmaf |
| - crf |
| - x264 |
| - x265 |
| - vp9 |
| - av1 |
| - lightgbm |
| - video-quality |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # CRF <-> VMAF training data |
|
|
| Training datasets behind [Alice-1](https://github.com/jakubkrapiec/alice-1) - a LightGBM model that predicts the CRF value needed to hit a target VMAF score for a given video segment, codec and resolution. |
|
|
| ## Contents |
|
|
| | File | Rows | Description | |
| |---|---|---| |
| | `training_table.parquet` | 1,762,232 | **Main table.** Feature aggregates -> CRF for a target VMAF, per codec/resolution. | |
| | `probe_data.parquet` | 52,316 | **Probe-encode data.** Two 2s probe encodes per (segment, codec, resolution) cell with measured VMAF + bitrate. | |
|
|
| ## Schema: `training_table` |
| |
| One row = (video segment * codec * target resolution * target VMAF) -> the CRF that achieves that VMAF. |
| |
| | Column | Type | Description | |
| |---|---|---| |
| | `source_key` | string | Source video identifier (`dataset/filename`) | |
| | `dataset` | string | Corpus subset (`main`, `hc`, `ext`, …) | |
| | `split` | string | Train/validation/test split | |
| | `segment_start` | float | Segment start time (s) | |
| | `codec` | string | `x264`, `x265`, `vp9`, `av1` | |
| | `preset` | string | Encoder preset (mostly `veryfast`; null for some rows) | |
| | `source_width` / `source_height` | int | Source resolution | |
| | `target_width` / `target_height` | int | Encoded resolution (720/1080/1440/2160) | |
| | `fps` | float | Frames per second | |
| | `segment_duration` | float | Segment length (s, ~10) | |
| | `vmaf_model` | string | VMAF model version | |
| | `fit_method` | string | How CRF was extracted from the encode ladder (`logistic` fit) | |
| | `si_mean` / `si_std` | float | Spatial Information (ITU-T P.910) mean/std over segment | |
| | `ti_mean` / `ti_std` | float | Temporal Information mean/std | |
| | `vmafmotion` | float | VMAF motion feature | |
| | `target_vmaf` | int | Target VMAF score (60–95) | |
| | `crf` | float | **Label:** CRF achieving `target_vmaf` | |
|
|
| ## Schema: `probe_data` |
| |
| One row = (segment * codec * resolution) with two cheap probe encodes. |
| |
| | Column | Description | |
| |---|---| |
| | `probe_crf1`, `probe_vmaf1`, `probe_bitrate1_kbps` | First probe encode (2s): CRF, measured VMAF, bitrate | |
| | `probe_crf2`, `probe_vmaf2`, `probe_bitrate2_kbps` | Second probe encode (different CRF) | |
| | `probe_sec` | Probe duration (2.0s) | |
| | `probe_vmaf` | = `probe_vmaf1` (primary probe feature) | |
| | `probe_slope` | VMAF slope between the two probe points | |
| | `probe_log_br`, `probe_log_br2` | log10 of probe bitrates | |
|
|
| ## Sources |
|
|
| ~40,861 unique (segment, codec, resolution) cells from ~9,000 source clips: Blender Open Movies, Internet Archive public-domain films, NASA SVS, Wikimedia Commons, Pexels/Pixabay/Coverr/Mixkit stock, Xiph.org test media, YouTube CC. All sources are openly licensed. |
|
|
| ## Citation |
|
|
| If you use this dataset, please link the repo. |
|
|
| ## License |
|
|
| CC0-1.0 (public domain dedication). Feature aggregates and measurements computed by the authors from openly licensed sources; no video content is included. |
|
|
