{
  "schema_version": "iptv_emotion_atlas_v1",
  "generated_at": "2026-10-07T19:12:06.161078+00:00",
  "coverage": {
    "status": "complete",
    "snapshot_at": "2026-10-07 18:28:28.247465+00:00",
    "eligible_jobs": 1366262,
    "analyzed_jobs": 1366262,
    "failed_jobs": 0,
    "notes": [
      "Exact segment census of uploaded, processed IPTV manifests whose database good_seconds is positive.",
      "Emotion charts cover all languages. English-tagged charts require every transcript language tag to be English; untagged transcripts are excluded from that view.",
      "English listening examples receive additional transcript review; ASR language metadata alone is not trusted."
    ]
  },
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    "good_segments": 5500330,
    "good_seconds": 65997799.01965282,
    "db_good_seconds": 65997801.092013106,
    "english_good_segments": 2316667,
    "english_good_seconds": 27614980.721584942,
    "unclassified_segments": 0,
    "unclassified_seconds": 0.0,
    "missing_energy_segments": 0,
    "missing_energy_seconds": 0.0
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          "transcript": "Whoa whoa whoa whoa whoa what are we doing here? I just asked if you needed some laundry done. So some people, and that's hopefully why he never goes no contact with me however I would probably pass away. Parents refusing to respect adult boundaries. This is a big one. I think this is a big one. We all have.",
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          "transcript": "What really various european folk traditions believed that a person's shadow held their life force maliciously trapping or building over a human shadow was thought to seal strength into the structure, but it doomed the shadow's owner to die shortly after.",
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          "transcript": "Like wait I need more details like continuously one day in the past like the same day over and over or like you have to relive one day a day once every week like what?",
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          "transcript": "No, I have not. She's like, oh my god, she evacuated lahina. There's a huge fire. It's taken over the town. I'm like.",
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          "transcript": "Oh my god, there's something in the basement. Let me just run down there in my underwear and see what's going on in the dark. And you're like, what is your problem? Call the police. And she's like okay.",
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          "transcript": "Definitely the first one blows your mind because I did it in twenty seventeen in idaho and I was just like whoa and this time I was, you know, it wasn't, I sort of knew what was going to happen so I wasn't as overwhelmed. Whereas the other people I was with, they were just like.",
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          "transcript": "What an unbelievable play by cornerback marcus ayers. You said it reese the throw and catch was there to be made for a big time touchdown. The marcus ayres beat early in the play, shows off his speed and acceleration, doesn't give up on the play, gets his right hand in there for the pass breakup, just as can't look at cam ward. Can't believe him.",
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          "transcript": "Oh my god, I was expecting a completely different taste and it was just mostly alcohol and at that point I can be drunk really quickly.",
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  ],
  "gallery_energy": {
    "mode": "per_emotion_english_tagged_terciles",
    "population": "English-tagged good IPTV segments within each predicted emotion.",
    "method": "Listening examples use per-emotion energy terciles so low, medium and high are relative to that emotion. Chart energy bands remain global across all emotions and languages."
  },
  "model_versions": [
    {
      "model": "emotion_delivery_energy_v5_plus20h_multilingual_20260727",
      "segments": 5500330
    }
  ],
  "methodology": [
    "Population: public.cleaning_pipeline_v4_jobs, state uploaded, status processed, input_audio_type iptv, input URI in iptvdata, good_seconds > 0, and a stored manifest pointer.",
    "A good segment has literal JSON good_audio.passed=true. No extra quality or downstream filter is applied to the census.",
    "Emotion is the stored segment.hotdog.emotion label when hotdog.status=ok; labels are model predictions, not human judgments. Missing or unknown labels are tracked separately.",
    "Duration weights are exact manifest end minus start, summed as segment-seconds. Overlapping listed intervals count individually; this is not a union-of-time calculation.",
    "Database good_seconds is separately reported because manifest endpoint precision can differ slightly from rounded quality-summary seconds.",
    "Global segment-count terciles define energy ranges across all emotions. The uncalibrated Hotdog energy score is not measured waveform loudness or a decibel scale. Ties can make range counts unequal.",
    "English-tagged means at least one explicit transcript <en-XX> or <en> tag and no non-English language tags. This is a conservative tagged subset, not a complete language census; ASR language can be wrong.",
    "Listening clips are illustrative, intentionally selected across emotion and energy cells, and are not a random sample for estimating distributions.",
    "Gallery ranges are per-emotion segment-count terciles of the English-tagged subset. They differ from the global chart ranges and are shown for each emotion. Ties remain together; empty or undersupplied cells are reported explicitly.",
    "Audio routing preserves each segment’s recorded original or enhanced episode source and absolute timeline. No loudness normalization is applied to examples.",
    "Hotdog provenance can record a center crop of up to 20 seconds for classification; charts weight the complete good-segment interval, not only the classifier crop.",
    "Production database transactions were read-only and object access used GET. No jobs, manifests, or audio objects were changed.",
    "English examples pass a transcript-language screen and a separate multilingual Whisper-small acoustic language check (English score at least 0.80). Short/ambiguous clips are excluded; model scores are not guarantees.",
    "Distinct recordings within each cell; near-duplicate transcript excerpts excluded. Prefer higher manifest emotion confidence among eligible candidates.",
    "Actual unnormalised source crop, analysed at 24 kHz: 96 mel bands, 50–12000 Hz, Hann 1024 samples, hop 240; STFT spectrum-scaled power with row-normalised mel filters; fixed -100 to 0 dB re 1 for all clips.",
    "Mono 48 kHz, MP3 128 kbit/s for browser playback. Crops use exact absolute 48 kHz endpoints; no loudness normalization. Spectrograms use the lossless pre-MP3 crop.",
    "The recording population was frozen at the database snapshot time. Referenced manifest objects were read during the subsequent census; this is not an atomic object-store snapshot."
  ],
  "gallery_validation": {
    "clips": 120,
    "target_clips": 120,
    "shortfalls": [],
    "english_method": "English transcript checks, Lingua text-language detection, and multilingual Whisper-small acoustic English score >= 0.80.",
    "selection": "Distinct recordings within each cell; near-duplicate transcript excerpts excluded. Prefer higher manifest emotion confidence among eligible candidates.",
    "spectrogram": "Actual unnormalised source crop, analysed at 24 kHz: 96 mel bands, 50–12000 Hz, Hann 1024 samples, hop 240; STFT spectrum-scaled power with row-normalised mel filters; fixed -100 to 0 dB re 1 for all clips.",
    "audio": "Mono 48 kHz, MP3 128 kbit/s for browser playback. Crops use exact absolute 48 kHz endpoints; no loudness normalization. Spectrograms use the lossless pre-MP3 crop."
  }
}