activitynet / selection.json
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Publish a curated public release capped at 1 TB
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{
"version": 1,
"dataset": "activitynet",
"bucket_id": "TornadoLabs/staging",
"inventory_observed_at": "2026-09-29T16:25:32.838092+00:00",
"cap_bytes": 1000000000000,
"reserve_bytes": 1000000000,
"seed": "tornadolabs-public-v1",
"method": "sha256-weighted-round-robin-by-source-count",
"stratum_field": "unstratified",
"before_bytes": 391294886506,
"after_bucket_bytes": 391294886506,
"remove_bytes": 0,
"before_videos": 15941,
"after_videos": 15941,
"retained_unrecognized_objects": 0,
"strata": {
"unknown": {
"before_videos": 15941,
"after_videos": 15941,
"before_bytes": 391294886506,
"after_bytes": 391294886506
}
},
"plan_sha256": "52f572ccbe22c07bbeafe6fa9de6f6c68644c66fcf352e8aa1f4aa4ae119aca7",
"size_unit": "decimal bytes; 1 TB = 1,000,000,000,000 bytes",
"sampling_limitations": "Selected from previously hosted source videos, not the full upstream corpus. Weighted round robin follows source counts within the available annotation strata; the byte constraint can favor smaller groups near the cap. No new language or duration balancing."
}