Spaces:
Sleeping
Sleeping
| { | |
| "meta": { | |
| "total_messages_user_1": 98079, | |
| "total_messages_user_2": 93513, | |
| "total_conversations": 11001 | |
| }, | |
| "persona_user_1": { | |
| "user_id": "User 1", | |
| "total_messages_analyzed": 98079, | |
| "communication_style": { | |
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| "emoji_usage_rate": 0.0, | |
| "top_emojis": [ | |
| { | |
| "emoji": "😉", | |
| "count": 1 | |
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| "response_time_avg_seconds": null, | |
| "messages_per_conversation": 8.9, | |
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| "activity_pattern": "unknown_no_timestamps", | |
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| }, | |
| "habits": { | |
| "late_sleeper": { | |
| "detected": true, | |
| "evidence_count": 43, | |
| "method": "content_regex (no timestamps available)" | |
| }, | |
| "early_bird": { | |
| "detected": true, | |
| "evidence_count": 63, | |
| "method": "content_regex (no timestamps available)" | |
| }, | |
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| "method": "content_regex (no timestamps available)" | |
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| "mention_rate": 0.0 | |
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| "rate": 0.0004, | |
| "threshold": 0.1 | |
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| }, | |
| "personal_facts": { | |
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| "Chicago": 7, | |
| "London": 7, | |
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| "the mountains": 7, | |
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| "New York": 6 | |
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| "age_mentions": { | |
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| "cousin": 6 | |
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| "sure it is": 195, | |
| "teacher": 138, | |
| "writer": 130, | |
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| "sure you do": 30, | |
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| "dog": 732, | |
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| } | |
| }, | |
| "confidence_note": "All signals derived from message statistics and regex patterns. No LLM inference used. Time-based metrics (response_time, active_hour, activity_pattern) are IMPOSSIBLE due to lack of timestamps and set to null. Habits like late_sleeper/early_bird are detected from message CONTENT (e.g., 'I stay up late') not from message timestamps. Personal facts are aggregate across ~11K different individuals (each conversation features different people labeled User 1/User 2)." | |
| }, | |
| "persona_user_2": { | |
| "user_id": "User 2", | |
| "total_messages_analyzed": 93513, | |
| "communication_style": { | |
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| "median_message_length": 53, | |
| "message_length_variance": 34.4, | |
| "emoji_usage_rate": 0.0, | |
| "top_emojis": [], | |
| "exclamation_rate": 0.5364, | |
| "question_rate": 0.186, | |
| "caps_usage_rate": 0.0, | |
| "response_time_avg_seconds": null, | |
| "messages_per_conversation": 8.5, | |
| "most_active_hour": null, | |
| "activity_pattern": "unknown_no_timestamps", | |
| "media_sharing_rate": 0.0 | |
| }, | |
| "habits": { | |
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| "evidence_count": 41, | |
| "method": "content_regex (no timestamps available)" | |
| }, | |
| "early_bird": { | |
| "detected": true, | |
| "evidence_count": 67, | |
| "method": "content_regex (no timestamps available)" | |
| }, | |
| "frequent_sender": false, | |
| "brief_communicator": false, | |
| "verbose_communicator": false, | |
| "weekend_active": { | |
| "detected": true, | |
| "weekend_mentions": 625, | |
| "weekday_mentions": 30, | |
| "method": "content_regex (no timestamps available)" | |
| }, | |
| "link_sharer": false, | |
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| "mentions_others_often": false, | |
| "mention_rate": 0.0 | |
| }, | |
| "personality_traits": { | |
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| "rate": 0.0014, | |
| "threshold": 0.05 | |
| }, | |
| "expressive": { | |
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| "rate": 0.0, | |
| "threshold": 0.1 | |
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| "curious": { | |
| "detected": true, | |
| "rate": 0.186, | |
| "threshold": 0.15 | |
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| "threshold": 0.2 | |
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| "intense": { | |
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| "threshold": 0.05 | |
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| "casual_rate": 0.0003 | |
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| "from": 47, | |
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| }, | |
| "location_mentions": { | |
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| "California": 37, | |
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| "age_mentions": { | |
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| "wife": 95, | |
| "mom": 229, | |
| "mother": 46, | |
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| "brother": 98, | |
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| "daughter": 101, | |
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| "cousin": 2 | |
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| "sure i will": 120, | |
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| "musician": 69, | |
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| "writer": 68, | |
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| "glad we agree": 30, | |
| "relaxing": 30, | |
| "single": 29, | |
| "personal trainer": 29, | |
| "sure you do": 29 | |
| }, | |
| "pet_mentions": { | |
| "dog": 817, | |
| "cat": 159, | |
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| "fish": 4, | |
| "bird": 1, | |
| "horse": 26 | |
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| "to cook": 216, | |
| "animals": 193, | |
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| "all kinds of music": 103, | |
| "music": 102, | |
| "pasta dishes": 99, | |
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| "helping people": 80 | |
| }, | |
| "hobby_mentions": { | |
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| "cats": 123, | |
| "reading": 120, | |
| "go hiking": 117, | |
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| "play video games": 106, | |
| "all kinds of music": 104, | |
| "music": 92, | |
| "golden retrievers": 84, | |
| "helping people": 80, | |
| "a lot of different kinds of music": 76 | |
| } | |
| }, | |
| "confidence_note": "All signals derived from message statistics and regex patterns. No LLM inference used. Time-based metrics (response_time, active_hour, activity_pattern) are IMPOSSIBLE due to lack of timestamps and set to null. Habits like late_sleeper/early_bird are detected from message CONTENT (e.g., 'I stay up late') not from message timestamps. Personal facts are aggregate across ~11K different individuals (each conversation features different people labeled User 1/User 2)." | |
| } | |
| } |