{
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  "quantity": "mean_absolute_state",
  "split": "training",
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  "neurons": 499,
  "frames": 241,
  "dtype": "<f4",
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      "clips": 1606,
      "speaker_corpus_groups": 246
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    {
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      "clips": 767,
      "speaker_corpus_groups": 233
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      "clips": 973,
      "speaker_corpus_groups": 250
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    {
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      "clips": 614,
      "speaker_corpus_groups": 207
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    {
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      "clips": 1156,
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      "clips": 5963,
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  "selection": "Every training clip with a listener-label fraction of at least 0.5. Multilabel clips contribute to each applicable emotion. No score-based selection.",
  "alignment": "Take absolute neuron states within each recording, linearly interpolate to 241 equally spaced relative-progress points from first to last state, then average with equal weight per recording. No silence trimming or phonetic alignment.",
  "weighting": "Equal per clip within each emotion; not balanced by speaker, corpus, duration, or class size.",
  "limitations": "Associative responses to labeled recordings; differences can reflect speakers, words, or corpora. These are simulated states, not biological emotion-specific cells.",
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    "frames.npy": "b089da98470e0f2f41f9c315d3c36a449055a1a94307d4f26f3510b137740408"
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    "max_absolute_state_error": 3.208716710112469e-07,
    "includes_validation_or_test_clips": false
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}