Overview

The Core Dataset provides comprehensive YouTube Social Media Entity Intelligence, combining channel metadata, video content, transcription data, and entity recognition with sentiment analysis. This dataset enables deep analysis of how companies, brands, and financial instruments are discussed across YouTube’s financial media landscape.

Complete Data Dictionary

Field	Type	Description
channel_id	UUID	Primary Key - Immutable Babbl Labs internal unique identifier for channel
channel_uri	UUID	Immutable YouTube’s unique identifier for channel
channel_custom_url	STRING	Mutable custom URL for channel
channel_name	STRING	Channel title from YouTube metadata
channel_description	STRING	Channel description from YouTube metadata
channel_locale	ENUM	Channel geographic country (ISO 3166-1 alpha-2)
channel_view_count	INT	Most recent channel total view count
channel_subscriber_count	INT	Most recent channel total subscriber count
channel_video_count	INT	Most recent channel total video count
channel_published_at	TIMESTAMP	Timestamp when channel was created
channel_coverage_initiated_at	TIMESTAMP	Timestamp when we initiated coverage
channel_last_updated_at	TIMESTAMP	Timestamp when we last polled YouTube metadata
video_id	UUID	Primary Key - Unique YouTube video identifier
video_view_count	INT	Most recent view count
video_like_count	INT	Most recent video like count
video_comment_count	INT	Most recent video comment count
video_published_dt	TIMESTAMP	Timestamp when video was originally published
video_transcribed_at	TIMESTAMP	Timestamp when we originally transcribed video
video_scored_at	TIMESTAMP	Timestamp when we originally processed video
video_last_updated_at	TIMESTAMP	Timestamp when we last polled YouTube metadata
video_title	STRING	Video title from YouTube metadata
video_description	STRING	Video description from YouTube metadata
video_language	STRING	Video language code (ISO 639-1)
model_transcription_tag	STRING	Identifier for transcription model used
model_scoring_tag	STRING	Identifier for scoring model used
segment_start	FLOAT	Starting point of segment in seconds
segment_end	FLOAT	End point of segment in seconds
segment_text	STRING	Transcribed text (50 words before/after entity)
speaker_name	STRING	Name of speaker in this segment
speaker_associated_entity	UUID	Entity (company) speaker is associated with (FIGI)
speaker_position	STRING	Known title of speaker
speaker_role_context	ENUM	Role of speaker (Host, Guest, ReferencedSource, Other)
entity_id	UUID	Immutable identifier of entity referenced
entity_symbol	STRING	Public company ticker symbol
entity_figi_id	UUID	Financial Instrument Global Identifier (FIGI)
entity_type	ENUM	Type of entity (ORG, PERSON, PRODUCT)
entity_name	STRING	Mapped entity name
entity_name_raw_anchor	STRING	Raw string of named entity detected
entity_sentiment_overt_buy_sell	ENUM	Overt buy/sell sentiment (POSITIVE, NEGATIVE, NONE_EXPRESSED, NULL)
entity_sentiment_generic	ENUM	General sentiment (POSITIVE, NEGATIVE, NONE_EXPRESSED, NEUTRAL)