Vela-1.0-Omni-Nano / benchmarks /complete-panel-metadata.json
Xunzhuo's picture
Update Hugging Face org references: llm-semantic-router → vllm-sr
f16c74f verified
Raw History Blame Contribute Delete
15.3 kB
{
"schema_version": 1,
"status": "verified",
"primary_aggregate": "Mean(TaskType)",
"supplementary_aggregate": "Mean(Task)",
"data_file": "complete-panel-data.json",
"data_sha256": "f0761883b6aef92a1cda8b4460f288af9d4c8596f1dd90cec46bbb24d1ac5ec6",
"score_display": "100 \u00d7 native score",
"snapshot_date": "2026-09-17",
"known_size_point_counts": {
"english41-nano": 175,
"audio19-mini": 64
},
"all_complete_peer_rows": 248,
"incomplete_peer_rows_excluded": 158,
"figures": {
"english41-nano": {
"primary_metric": "mean_task_type",
"secondary_metric": "mean_task",
"points_plotted": 175,
"all_known_size_ids": [
"scores_MTEB_eng_v2:row:0",
"scores_MTEB_eng_v2:row:1",
"scores_MTEB_eng_v2:row:2",
"scores_MTEB_eng_v2:row:4",
"scores_MTEB_eng_v2:row:5",
"scores_MTEB_eng_v2:row:6",
"scores_MTEB_eng_v2:row:9",
"scores_MTEB_eng_v2:row:10",
"scores_MTEB_eng_v2:row:11",
"scores_MTEB_eng_v2:row:12",
"scores_MTEB_eng_v2:row:13",
"scores_MTEB_eng_v2:row:14",
"scores_MTEB_eng_v2:row:15",
"scores_MTEB_eng_v2:row:16",
"scores_MTEB_eng_v2:row:17",
"scores_MTEB_eng_v2:row:18",
"scores_MTEB_eng_v2:row:19",
"scores_MTEB_eng_v2:row:20",
"scores_MTEB_eng_v2:row:21",
"scores_MTEB_eng_v2:row:22",
"scores_MTEB_eng_v2:row:23",
"scores_MTEB_eng_v2:row:24",
"scores_MTEB_eng_v2:row:25",
"scores_MTEB_eng_v2:row:26",
"scores_MTEB_eng_v2:row:28",
"scores_MTEB_eng_v2:row:30",
"scores_MTEB_eng_v2:row:31",
"scores_MTEB_eng_v2:row:32",
"scores_MTEB_eng_v2:row:33",
"scores_MTEB_eng_v2:row:34",
"scores_MTEB_eng_v2:row:35",
"scores_MTEB_eng_v2:row:36",
"scores_MTEB_eng_v2:row:37",
"scores_MTEB_eng_v2:row:38",
"scores_MTEB_eng_v2:row:39",
"scores_MTEB_eng_v2:row:40",
"scores_MTEB_eng_v2:row:41",
"scores_MTEB_eng_v2:row:42",
"scores_MTEB_eng_v2:row:43",
"scores_MTEB_eng_v2:row:44",
"scores_MTEB_eng_v2:row:46",
"scores_MTEB_eng_v2:row:47",
"scores_MTEB_eng_v2:row:48",
"scores_MTEB_eng_v2:row:49",
"scores_MTEB_eng_v2:row:50",
"scores_MTEB_eng_v2:row:51",
"scores_MTEB_eng_v2:row:52",
"scores_MTEB_eng_v2:row:53",
"scores_MTEB_eng_v2:row:60",
"scores_MTEB_eng_v2:row:61",
"scores_MTEB_eng_v2:row:63",
"scores_MTEB_eng_v2:row:64",
"scores_MTEB_eng_v2:row:65",
"scores_MTEB_eng_v2:row:66",
"scores_MTEB_eng_v2:row:67",
"scores_MTEB_eng_v2:row:68",
"scores_MTEB_eng_v2:row:70",
"scores_MTEB_eng_v2:row:71",
"scores_MTEB_eng_v2:row:72",
"scores_MTEB_eng_v2:row:73",
"scores_MTEB_eng_v2:row:74",
"scores_MTEB_eng_v2:row:76",
"scores_MTEB_eng_v2:row:77",
"scores_MTEB_eng_v2:row:79",
"scores_MTEB_eng_v2:row:80",
"scores_MTEB_eng_v2:row:81",
"scores_MTEB_eng_v2:row:82",
"scores_MTEB_eng_v2:row:83",
"scores_MTEB_eng_v2:row:84",
"scores_MTEB_eng_v2:row:86",
"scores_MTEB_eng_v2:row:87",
"scores_MTEB_eng_v2:row:88",
"scores_MTEB_eng_v2:row:89",
"scores_MTEB_eng_v2:row:90",
"scores_MTEB_eng_v2:row:91",
"scores_MTEB_eng_v2:row:92",
"scores_MTEB_eng_v2:row:93",
"scores_MTEB_eng_v2:row:94",
"scores_MTEB_eng_v2:row:95",
"scores_MTEB_eng_v2:row:96",
"scores_MTEB_eng_v2:row:97",
"scores_MTEB_eng_v2:row:98",
"scores_MTEB_eng_v2:row:99",
"scores_MTEB_eng_v2:row:100",
"scores_MTEB_eng_v2:row:101",
"scores_MTEB_eng_v2:row:102",
"scores_MTEB_eng_v2:row:103",
"scores_MTEB_eng_v2:row:104",
"scores_MTEB_eng_v2:row:106",
"scores_MTEB_eng_v2:row:107",
"scores_MTEB_eng_v2:row:109",
"scores_MTEB_eng_v2:row:110",
"scores_MTEB_eng_v2:row:112",
"scores_MTEB_eng_v2:row:114",
"scores_MTEB_eng_v2:row:115",
"scores_MTEB_eng_v2:row:117",
"scores_MTEB_eng_v2:row:118",
"scores_MTEB_eng_v2:row:122",
"scores_MTEB_eng_v2:row:123",
"scores_MTEB_eng_v2:row:124",
"scores_MTEB_eng_v2:row:125",
"scores_MTEB_eng_v2:row:128",
"scores_MTEB_eng_v2:row:129",
"scores_MTEB_eng_v2:row:130",
"scores_MTEB_eng_v2:row:132",
"scores_MTEB_eng_v2:row:133",
"scores_MTEB_eng_v2:row:134",
"scores_MTEB_eng_v2:row:135",
"scores_MTEB_eng_v2:row:136",
"scores_MTEB_eng_v2:row:137",
"scores_MTEB_eng_v2:row:139",
"scores_MTEB_eng_v2:row:140",
"scores_MTEB_eng_v2:row:143",
"scores_MTEB_eng_v2:row:144",
"scores_MTEB_eng_v2:row:148",
"scores_MTEB_eng_v2:row:150",
"scores_MTEB_eng_v2:row:151",
"scores_MTEB_eng_v2:row:152",
"scores_MTEB_eng_v2:row:153",
"scores_MTEB_eng_v2:row:154",
"scores_MTEB_eng_v2:row:160",
"scores_MTEB_eng_v2:row:162",
"scores_MTEB_eng_v2:row:165",
"scores_MTEB_eng_v2:row:166",
"scores_MTEB_eng_v2:row:169",
"scores_MTEB_eng_v2:row:171",
"scores_MTEB_eng_v2:row:172",
"scores_MTEB_eng_v2:row:173",
"scores_MTEB_eng_v2:row:177",
"scores_MTEB_eng_v2:row:186",
"scores_MTEB_eng_v2:row:187",
"scores_MTEB_eng_v2:row:191",
"scores_MTEB_eng_v2:row:192",
"scores_MTEB_eng_v2:row:195",
"scores_MTEB_eng_v2:row:197",
"scores_MTEB_eng_v2:row:198",
"scores_MTEB_eng_v2:row:199",
"scores_MTEB_eng_v2:row:200",
"scores_MTEB_eng_v2:row:202",
"scores_MTEB_eng_v2:row:203",
"scores_MTEB_eng_v2:row:212",
"scores_MTEB_eng_v2:row:213",
"scores_MTEB_eng_v2:row:217",
"scores_MTEB_eng_v2:row:218",
"scores_MTEB_eng_v2:row:220",
"scores_MTEB_eng_v2:row:221",
"scores_MTEB_eng_v2:row:230",
"scores_MTEB_eng_v2:row:231",
"scores_MTEB_eng_v2:row:232",
"scores_MTEB_eng_v2:row:233",
"scores_MTEB_eng_v2:row:234",
"scores_MTEB_eng_v2:row:235",
"scores_MTEB_eng_v2:row:236",
"scores_MTEB_eng_v2:row:238",
"scores_MTEB_eng_v2:row:239",
"scores_MTEB_eng_v2:row:241",
"scores_MTEB_eng_v2:row:242",
"scores_MTEB_eng_v2:row:243",
"scores_MTEB_eng_v2:row:245",
"scores_MTEB_eng_v2:row:246",
"scores_MTEB_eng_v2:row:252",
"scores_MTEB_eng_v2:row:253",
"scores_MTEB_eng_v2:row:254",
"scores_MTEB_eng_v2:row:255",
"scores_MTEB_eng_v2:row:257",
"scores_MTEB_eng_v2:row:258",
"scores_MTEB_eng_v2:row:260",
"scores_MTEB_eng_v2:row:263",
"scores_MTEB_eng_v2:row:264",
"scores_MTEB_eng_v2:row:265",
"scores_MTEB_eng_v2:row:266",
"scores_MTEB_eng_v2:row:267",
"scores_MTEB_eng_v2:row:268",
"current:nano",
"current:mini"
],
"unknown_size_count": 13,
"same_size_top10_ids": [
"scores_MTEB_eng_v2:row:61",
"scores_MTEB_eng_v2:row:68",
"scores_MTEB_eng_v2:row:65",
"scores_MTEB_eng_v2:row:74",
"current:nano",
"scores_MTEB_eng_v2:row:71",
"scores_MTEB_eng_v2:row:66",
"scores_MTEB_eng_v2:row:72",
"scores_MTEB_eng_v2:row:79",
"scores_MTEB_eng_v2:row:80"
],
"focus_frontier": false,
"label_overlaps": [],
"labels_outside_canvas": [],
"table_text_overlaps": [],
"all_points_inside_axes": true,
"all_other_panel_ranks_visible": true,
"exports_sha256": {
"complete-panel-english41-nano.png": "49e1d1a57289291c261e50070ebe2ed5f7fe313ff0d1688c7e67ca2f0c4b27ff",
"complete-panel-english41-nano.svg": "b0b8f04d2a408bc98e8e36a6c7024e9e1226ade870a8e526eb9970c150b2d2bd"
},
"visible_reference_labels": [
{
"model_or_id": "minishlab/potion-base-2M",
"label": "Potion2M"
},
{
"model_or_id": "avsolatorio/GIST-small-Embedding-v0",
"label": "GIST Small"
},
{
"model_or_id": "avsolatorio/GIST-Embedding-v0",
"label": "GIST Base"
},
{
"model_or_id": "current:nano",
"label": "Vela Nano"
},
{
"model_or_id": "current:mini",
"label": "Vela Mini \u00b7 reference"
},
{
"model_or_id": "infgrad/Jasper-Token-Compression-600M",
"label": "Jasper600M"
},
{
"model_or_id": "jcorners/ingot-8b-r3",
"label": "Ingot8B"
},
{
"model_or_id": "Qwen/Qwen3-Embedding-0.6B",
"label": "Qwen3 0.6B"
},
{
"model_or_id": "google/embeddinggemma-300m",
"label": "EmbeddingGemma 300M"
},
{
"model_or_id": "intfloat/e5-mistral-7b-instruct",
"label": "E5 Mistral 7B"
}
]
},
"audio19-mini": {
"primary_metric": "mean_task_type",
"secondary_metric": "mean_task",
"points_plotted": 64,
"all_known_size_ids": [
"scores_MAEB_beta_audio-only:row:0",
"scores_MAEB_beta_audio-only:row:1",
"scores_MAEB_beta_audio-only:row:2",
"scores_MAEB_beta_audio-only:row:3",
"scores_MAEB_beta_audio-only:row:4",
"scores_MAEB_beta_audio-only:row:5",
"scores_MAEB_beta_audio-only:row:6",
"scores_MAEB_beta_audio-only:row:7",
"scores_MAEB_beta_audio-only:row:8",
"scores_MAEB_beta_audio-only:row:9",
"scores_MAEB_beta_audio-only:row:10",
"scores_MAEB_beta_audio-only:row:11",
"scores_MAEB_beta_audio-only:row:12",
"scores_MAEB_beta_audio-only:row:13",
"scores_MAEB_beta_audio-only:row:14",
"scores_MAEB_beta_audio-only:row:15",
"scores_MAEB_beta_audio-only:row:16",
"scores_MAEB_beta_audio-only:row:17",
"scores_MAEB_beta_audio-only:row:18",
"scores_MAEB_beta_audio-only:row:19",
"scores_MAEB_beta_audio-only:row:20",
"scores_MAEB_beta_audio-only:row:21",
"scores_MAEB_beta_audio-only:row:22",
"scores_MAEB_beta_audio-only:row:23",
"scores_MAEB_beta_audio-only:row:24",
"scores_MAEB_beta_audio-only:row:25",
"scores_MAEB_beta_audio-only:row:26",
"scores_MAEB_beta_audio-only:row:27",
"scores_MAEB_beta_audio-only:row:28",
"scores_MAEB_beta_audio-only:row:29",
"scores_MAEB_beta_audio-only:row:30",
"scores_MAEB_beta_audio-only:row:31",
"scores_MAEB_beta_audio-only:row:32",
"scores_MAEB_beta_audio-only:row:33",
"scores_MAEB_beta_audio-only:row:35",
"scores_MAEB_beta_audio-only:row:36",
"scores_MAEB_beta_audio-only:row:37",
"scores_MAEB_beta_audio-only:row:38",
"scores_MAEB_beta_audio-only:row:39",
"scores_MAEB_beta_audio-only:row:40",
"scores_MAEB_beta_audio-only:row:41",
"scores_MAEB_beta_audio-only:row:42",
"scores_MAEB_beta_audio-only:row:43",
"scores_MAEB_beta_audio-only:row:44",
"scores_MAEB_beta_audio-only:row:45",
"scores_MAEB_beta_audio-only:row:46",
"scores_MAEB_beta_audio-only:row:47",
"scores_MAEB_beta_audio-only:row:49",
"scores_MAEB_beta_audio-only:row:50",
"scores_MAEB_beta_audio-only:row:51",
"scores_MAEB_beta_audio-only:row:52",
"scores_MAEB_beta_audio-only:row:53",
"scores_MAEB_beta_audio-only:row:55",
"scores_MAEB_beta_audio-only:row:56",
"scores_MAEB_beta_audio-only:row:57",
"scores_MAEB_beta_audio-only:row:58",
"scores_MAEB_beta_audio-only:row:60",
"scores_MAEB_beta_audio-only:row:61",
"scores_MAEB_beta_audio-only:row:62",
"scores_MAEB_beta_audio-only:row:63",
"scores_MAEB_beta_audio-only:row:64",
"scores_MAEB_beta_audio-only:row:65",
"current:nano",
"current:mini"
],
"unknown_size_count": 0,
"same_size_top10_ids": [
"scores_MAEB_beta_audio-only:row:10",
"scores_MAEB_beta_audio-only:row:17",
"scores_MAEB_beta_audio-only:row:22",
"scores_MAEB_beta_audio-only:row:20",
"current:mini",
"scores_MAEB_beta_audio-only:row:6",
"scores_MAEB_beta_audio-only:row:4",
"scores_MAEB_beta_audio-only:row:25",
"scores_MAEB_beta_audio-only:row:14",
"scores_MAEB_beta_audio-only:row:19"
],
"focus_frontier": false,
"label_overlaps": [],
"labels_outside_canvas": [],
"table_text_overlaps": [],
"all_points_inside_axes": true,
"all_other_panel_ranks_visible": true,
"exports_sha256": {
"complete-panel-audio19-mini.png": "131a400c69f3e7b6fc1ff1a1de0f285fd7e5938a2fffbfe98552d8981bfa1b27",
"complete-panel-audio19-mini.svg": "09955e43a78a5d0eb3b385b725d9db771116a56da47e55ef8cad6903274300c0"
},
"visible_reference_labels": [
{
"model_or_id": "google/yamnet",
"label": "YAMNet"
},
{
"model_or_id": "MIT/ast-finetuned-audioset-10-10-0.4593",
"label": "AST"
},
{
"model_or_id": "microsoft/msclap-2023",
"label": "MS CLAP"
},
{
"model_or_id": "current:nano",
"label": "Vela Nano \u00b7 reference"
},
{
"model_or_id": "current:mini",
"label": "Vela Mini"
},
{
"model_or_id": "jinaai/jina-embeddings-v5-omni-nano",
"label": "Jina Omni Nano v5"
},
{
"model_or_id": "encord-team/ebind-full",
"label": "E-Bind"
},
{
"model_or_id": "Haon-Chen/e5-omni-7B",
"label": "E5 Omni7B"
},
{
"model_or_id": "openai/whisper-tiny",
"label": "Whisper Tiny"
},
{
"model_or_id": "openai/whisper-medium",
"label": "Whisper Medium"
},
{
"model_or_id": "openai/whisper-large-v3",
"label": "Whisper Large v3"
},
{
"model_or_id": "microsoft/wavlm-large",
"label": "WavLM Large"
}
]
}
},
"visual_inspection": "All six PNGs inspected: white background, full eligible point coverage, preserved named references, no clipped or overlapping labels. Nano size/audio ranks and task scores updated; Mini scores unchanged; SIB-FLEURS is topic classification.",
"scope": "Complete dedicated snapshot rows; no per-task best stitching, no partial-panel ranking, no overall SOTA claim. Unknown-size complete peers count globally but cannot be plotted.",
"ranking_population": "Dedicated registry rows plus both current Vela models, unique names asserted.",
"source_urls_and_actual_measured_identity": "See sources and models in complete-panel-data.json."
}