Datasets:
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
ai-engineering
conference-talks
technical-transcripts
public-source-grounded
retrieval-augmented-generation
technical-evaluation
| { | |
| "version": "corrected-transcripts-v1", | |
| "reference_class": "context-and-intent-model-adjudicated-not-human-gold", | |
| "source_release_sha256": "9e220380aa4dc8114280138a004357667624010cfab38ae6416439ec6c8afddf", | |
| "source_transcripts_sha256": "54104958d252f0b1a62c93e202a9249b13202e959b52f35f8009f96cc6701ec7", | |
| "source_audit_sha256": "e96a50bf590f114a8069e1f28c6f34783bd52c27e60c4434cf8ca9473837ae66", | |
| "frozen_manifest_sha256": "0bd3606779a1f36987e4102d857f51528b9c7219c9e757f62ec2c91bcc6fc242", | |
| "rows": 1041, | |
| "segments": 147853, | |
| "corrections": 11244, | |
| "speaker_annotations": 1697, | |
| "unresolved": 2847, | |
| "privacy_masked_edits": 79, | |
| "privacy_source_anchor_recordings": 14, | |
| "representation_only_recordings": 9, | |
| "representation_only_extra_audio_event_tags": 11, | |
| "human_reviewed": false, | |
| "gold": false, | |
| "timestamp_clock": "original-video-milliseconds; whole-recording-source-start-zero", | |
| "derived_annotations_regenerated": false, | |
| "frozen_configurations": [ | |
| "talks", | |
| "segments", | |
| "topics", | |
| "entities", | |
| "summaries", | |
| "chapters", | |
| "retrieval", | |
| "benchmark" | |
| ], | |
| "private_only": true, | |
| "public_distribution_authorized": false, | |
| "configuration": { | |
| "rows": 1041, | |
| "splits": { | |
| "train": { | |
| "rows": 836, | |
| "parquet_path": "data/corrected_transcripts/train.parquet", | |
| "parquet_sha256": "98f2bb463c6082ad56a5e724d1d2e17ca177598094f9f21de64bc82998dc5e67", | |
| "bytes": 49358156 | |
| }, | |
| "validation": { | |
| "rows": 94, | |
| "parquet_path": "data/corrected_transcripts/validation.parquet", | |
| "parquet_sha256": "e336c0741cda4cf5aba80af0a79ff39738b4cbc20e449a32a1f454aa81da115b", | |
| "bytes": 5503795 | |
| }, | |
| "test": { | |
| "rows": 111, | |
| "parquet_path": "data/corrected_transcripts/test.parquet", | |
| "parquet_sha256": "2cc52ea0fc31785f5f054e21c3f4a0595ba9e175da84cc0502075ad1abf22dce", | |
| "bytes": 7979732 | |
| } | |
| } | |
| } | |
| } | |