| ## Dataset Structure |
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| Each video is stored as an individual `.json` file, organized into 10 sub-folders by scam case (1,549 files total). |
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| ### Schema |
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| **`video`** — Video metadata |
| | Field | Description | |
| |---|---| |
| | `id` | YouTube video ID | |
| | `title` | Video title | |
| | `published_at` | Upload timestamp | |
| | `view_count` | View count | |
| | `like_count` | Like count | |
| | `comment_count` | Comment count | |
| | `transcript` | Full auto-generated transcript | |
| | `description` | Video description | |
| | `uploader_comments` | Pinned uploader comments | |
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| **`channel`** — Uploader channel metadata |
| | Field | Description | |
| |---|---| |
| | `channel_id` | YouTube channel ID | |
| | `subscriber_count` | Subscriber count | |
| | `video_count` | Total videos on channel | |
| | `view_count` | Total channel views | |
| | `description` | Channel description | |
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| **`urls[]`** — External URLs mentioned or displayed |
| | Field | Description | Values | |
| |---|---|---| |
| | `address` | Full URL | — | |
| | `type` | Link classification | `official` · `phishing` | |
| | `source` | Extraction source | `transcript` · `description` · `visual` | |
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| **`external_platforms[]`** — External community/social platform invitations |
| | Field | Description | Values | |
| |---|---|---| |
| | `platform` | Platform name | `telegram` · `whatsapp` · `discord` · `facebook` · ... | |
| | `name` | Group or account name | — | |
| | `id` | Group ID or username | — | |
| | `url` | Invite link | — | |
| | `member_count` | Number of members | — | |
| | `created_at` | Group creation date | — | |
| | `source` | Extraction source | `transcript` · `description` · `visual` | |
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| **`wallets[]`** — Cryptocurrency wallet addresses |
| | Field | Description | Values | |
| |---|---|---| |
| | `address` | Wallet address | — | |
| | `blockchain` | Chain type | `BTC` · `ETH` · `TRX` · `LTC` · `DOGE` · `BNB` · `ADA` · `YFI` | |
| | `source` | Extraction source | `transcript` · `description` · `visual_ocr` | |
| | `total_received_usd` | Total received in USD (on-chain) | — | |
| | `unique_senders` | Number of unique senders (on-chain) | — | |
| | `first_active` | Date of first on-chain transaction | — | |
| | `last_active` | Date of last on-chain transaction | — | |
| | `is_flagged` | Flagged on Chainabuse | `true` · `false` | |
| | `flagged_time` | Date of first abuse report | — | |
| | `report_count` | Total abuse reports | — | |
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| **`endorsers[]`** — Individuals who publicly endorsed the scam |
| | Field | Description | Values | |
| |---|---|---| |
| | `name` | Endorser name | — | |
| | `domain` | Public domain | `crypto` · `finance` · `celebrity` · ... | |
| | `is_real_person` | Whether a verifiable public figure | `true` · `false` | |
| | `public_influence` | Description of public reach | — | |
| | `endorsement_type` | How the endorsement was made | `text` · `video` | |
| | `note` | Additional context | — | |
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