Datasets:
Update dataset card for v0.2.0
Browse files
README.md
CHANGED
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@@ -14,360 +14,6 @@ tags:
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- evolutionary-composition
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size_categories:
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- 10K<n<100K
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dataset_info:
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- config_name: base_manifest
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features:
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- name: id
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dtype: string
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- name: bpm
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dtype: int64
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- name: tempo_numerator
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dtype: float64
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- name: tempo_denominator
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dtype: float64
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- name: key_signature_note
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dtype: string
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- name: key_signature_mode
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dtype: string
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- name: rainbow_color
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dtype: string
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- name: rainbow_color_temporal_mode
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dtype: string
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- name: rainbow_color_objectional_mode
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dtype: string
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- name: rainbow_color_ontological_mode
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dtype: string
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- name: transmigrational_mode
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dtype: string
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- name: title
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dtype: string
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- name: release_date
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dtype: string
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- name: total_running_time
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dtype: string
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- name: vocals
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dtype: bool
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- name: lyrics
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dtype: bool
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- name: lrc_lyrics
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dtype: string
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- name: sounds_like
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dtype: string
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- name: mood
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dtype: string
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- name: genres
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dtype: string
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- name: lrc_file
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dtype: string
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- name: concept
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dtype: string
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- name: training_data
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struct:
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- name: album_sequence
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dtype: int64
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- name: avg_word_length
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dtype: float64
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- name: boundary_fluidity_score
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dtype: float64
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- name: concept_length
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dtype: int64
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- name: discrepancy_intensity
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dtype: float64
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- name: exclamation_marks
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dtype: int64
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- name: has_rebracketing_markers
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dtype: bool
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- name: memory_discrepancy_severity
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dtype: float64
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- name: narrative_complexity
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dtype: float64
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- name: ontological_uncertainty
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dtype: float64
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- name: question_marks
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dtype: int64
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- name: rebracketing_coverage
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dtype: float64
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- name: rebracketing_intensity
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dtype: float64
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- name: rebracketing_type
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dtype: string
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- name: sentence_count
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dtype: int64
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- name: temporal_complexity_score
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dtype: float64
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- name: track_duration
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dtype: float64
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- name: track_id
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dtype: string
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- name: track_position
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dtype: int64
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- name: uncertainty_level
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dtype: float64
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- name: word_count
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dtype: int64
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- name: song_structure
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dtype: string
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- name: track_id
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dtype: int64
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- name: description
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dtype: string
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- name: audio_file
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dtype: string
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- name: midi_file
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dtype: string
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- name: group
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dtype: string
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- name: midi_group_file
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dtype: string
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- name: player
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dtype: string
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splits:
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- name: train
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num_bytes: 3522729
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num_examples: 1327
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download_size: 177786
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dataset_size: 3522729
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- config_name: training_full
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features:
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- name: segment_id
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dtype: string
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- name: segment_index
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dtype: int64
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- name: song_id
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dtype: string
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- name: track_number
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dtype: int64
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- name: track_description
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dtype: string
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- name: track_group
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dtype: string
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- name: track_player
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dtype: string
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- name: source_audio_file
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dtype: string
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- name: segment_audio_file
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dtype: string
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- name: midi_file
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dtype: string
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- name: start_seconds
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dtype: float64
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- name: end_seconds
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dtype: float64
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- name: duration_seconds
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dtype: float64
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- name: has_audio
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dtype: bool
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- name: has_midi
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dtype: bool
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- name: lyric_text
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dtype: string
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- name: structure_section
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dtype: string
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- name: segment_type
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dtype: string
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- name: original_start_seconds
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dtype: float64
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- name: original_end_seconds
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dtype: float64
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- name: has_structure_adjustments
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dtype: bool
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- name: structure_adjustments
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dtype: string
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- name: is_sub_segment
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dtype: bool
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- name: sub_segment_info
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dtype: string
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- name: lrc_line_number
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dtype: float64
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- name: lyric_char_count
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dtype: uint32
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- name: lyric_word_count
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dtype: uint32
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- name: start_adjustment_seconds
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dtype: float64
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- name: end_adjustment_seconds
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dtype: float64
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- name: content_type
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dtype: string
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- name: manifest_track_key
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dtype: string
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- name: bpm
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dtype: int64
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- name: tempo_numerator
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dtype: float64
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- name: tempo_denominator
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dtype: float64
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- name: key_signature_note
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dtype: string
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- name: key_signature_mode
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dtype: string
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- name: rainbow_color
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dtype: string
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- name: rainbow_color_temporal_mode
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dtype: string
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- name: rainbow_color_objectional_mode
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dtype: string
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- name: rainbow_color_ontological_mode
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dtype: string
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- name: transmigrational_mode
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dtype: string
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- name: title
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dtype: string
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- name: release_date
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dtype: string
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- name: total_running_time
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dtype: string
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- name: vocals
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dtype: bool
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- name: lyrics
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dtype: bool
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- name: lrc_lyrics
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dtype: string
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- name: sounds_like
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dtype: string
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- name: mood
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dtype: string
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- name: genres
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dtype: string
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- name: lrc_file
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dtype: string
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- name: concept
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dtype: string
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- name: training_data
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struct:
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- name: album_sequence
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dtype: int64
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- name: avg_word_length
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dtype: float64
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- name: boundary_fluidity_score
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dtype: float64
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- name: concept_length
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dtype: int64
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- name: discrepancy_intensity
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dtype: float64
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- name: exclamation_marks
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dtype: int64
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- name: has_rebracketing_markers
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dtype: bool
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- name: memory_discrepancy_severity
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dtype: float64
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- name: narrative_complexity
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dtype: float64
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- name: ontological_uncertainty
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dtype: float64
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- name: question_marks
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dtype: int64
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- name: rebracketing_coverage
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dtype: float64
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- name: rebracketing_intensity
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dtype: float64
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- name: rebracketing_type
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dtype: string
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- name: sentence_count
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dtype: int64
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- name: temporal_complexity_score
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dtype: float64
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- name: track_duration
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dtype: float64
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- name: track_id
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dtype: string
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- name: track_position
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dtype: int64
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- name: uncertainty_level
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dtype: float64
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- name: word_count
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dtype: int64
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- name: song_structure
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dtype: string
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- name: midi_group_file
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dtype: string
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splits:
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- name: train
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num_bytes: 35869494
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num_examples: 11605
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download_size: 580351
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dataset_size: 35869494
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- config_name: training_segments
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features:
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- name: segment_id
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dtype: string
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- name: segment_index
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dtype: int64
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- name: track_id
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dtype: string
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- name: track_number
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dtype: int64
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- name: track_description
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dtype: string
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- name: track_group
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dtype: string
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- name: track_player
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dtype: string
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- name: source_audio_file
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dtype: string
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- name: segment_audio_file
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dtype: string
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- name: midi_file
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dtype: string
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- name: start_seconds
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dtype: float64
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- name: end_seconds
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dtype: float64
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- name: duration_seconds
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dtype: float64
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- name: has_audio
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dtype: bool
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- name: has_midi
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dtype: bool
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- name: lyric_text
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dtype: string
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- name: structure_section
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dtype: string
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- name: segment_type
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dtype: string
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- name: original_start_seconds
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dtype: float64
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- name: original_end_seconds
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dtype: float64
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- name: has_structure_adjustments
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dtype: bool
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- name: structure_adjustments
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dtype: string
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- name: is_sub_segment
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dtype: bool
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- name: sub_segment_info
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dtype: string
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- name: lrc_line_number
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dtype: float64
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- name: lyric_char_count
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dtype: uint32
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- name: lyric_word_count
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dtype: uint32
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- name: start_adjustment_seconds
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dtype: float64
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- name: end_adjustment_seconds
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dtype: float64
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- name: content_type
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dtype: string
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splits:
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- name: train
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num_bytes: 6049737
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num_examples: 11605
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download_size: 389389
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dataset_size: 6049737
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configs:
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- config_name: base_manifest
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data_files:
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- split: train
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path: base_manifest/train-*
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- config_name: training_full
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data_files:
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- split: train
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path: training_full/train-*
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- config_name: training_segments
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data_files:
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- split: train
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path: training_segments/train-*
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---
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# White Training Data
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## Version
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Current: **v0.2.0** — 2026-02-
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## Dataset Structure
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| Orange | 1,731 | 83.8% | 51.1% | 100.0% |
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| Yellow | 656 | 88.0% | 52.9% | 52.6% |
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| Green | 393 | 90.1% | 69.5% | 0.0% |
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| Blue | 2,097 | 96.0% | 12.1% | 100.0% |
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| Indigo | 1,406 | 77.2% | 34.1% | 100.0% |
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| Violet | 2,100 | 75.9% | 55.6% | 100.0% |
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**Note:** Audio waveforms and MIDI binaries are stored separately (not included in
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## Key Features
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- `has_audio` / `has_midi` — Modality availability flags
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- `start_seconds` / `end_seconds` — Segment time boundaries
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## Usage
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```python
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# Load the primary training table (segments + manifest metadata)
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training = load_dataset("earthlyframes/white-training-data", "training_full")
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# Load just the base manifest (track-level)
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manifest = load_dataset("earthlyframes/white-training-data", "base_manifest")
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[Collaborative Intelligence License v1.0](https://github.com/brotherclone/white/blob/main/COLLABORATIVE_INTELLIGENCE_LICENSE.md) — This work represents conscious partnership between human creativity and AI. Both parties have agency; both must consent to sharing.
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---
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*Generated 2026-02-
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- evolutionary-composition
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size_categories:
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- 10K<n<100K
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| 17 |
---
|
| 18 |
|
| 19 |
# White Training Data
|
|
|
|
| 34 |
|
| 35 |
## Version
|
| 36 |
|
| 37 |
+
Current: **v0.2.0** — 2026-02-12
|
| 38 |
|
| 39 |
## Dataset Structure
|
| 40 |
|
|
|
|
| 53 |
| Orange | 1,731 | 83.8% | 51.1% | 100.0% |
|
| 54 |
| Yellow | 656 | 88.0% | 52.9% | 52.6% |
|
| 55 |
| Green | 393 | 90.1% | 69.5% | 0.0% |
|
|
|
|
|
|
|
| 56 |
| Violet | 2,100 | 75.9% | 55.6% | 100.0% |
|
| 57 |
+
| Indigo | 1,406 | 77.2% | 34.1% | 100.0% |
|
| 58 |
+
| Blue | 2,097 | 96.0% | 12.1% | 100.0% |
|
| 59 |
|
| 60 |
+
**Note:** Audio waveforms and MIDI binaries are stored separately (not included in metadata configs due to size). The `preview` config includes playable audio for exploration. The media parquet (~15 GB) is used locally during training.
|
| 61 |
|
| 62 |
## Key Features
|
| 63 |
|
|
|
|
| 72 |
- `has_audio` / `has_midi` — Modality availability flags
|
| 73 |
- `start_seconds` / `end_seconds` — Segment time boundaries
|
| 74 |
|
| 75 |
+
### `preview` (playable audio)
|
| 76 |
+
|
| 77 |
+
Same metadata fields as `training_full`, plus:
|
| 78 |
+
- `audio` — Audio feature with inline playback support (FLAC encoded, 44.1kHz)
|
| 79 |
+
- `duration_seconds` — Segment duration
|
| 80 |
+
|
| 81 |
## Usage
|
| 82 |
|
| 83 |
```python
|
|
|
|
| 86 |
# Load the primary training table (segments + manifest metadata)
|
| 87 |
training = load_dataset("earthlyframes/white-training-data", "training_full")
|
| 88 |
|
| 89 |
+
# Load playable audio preview
|
| 90 |
+
preview = load_dataset("earthlyframes/white-training-data", "preview")
|
| 91 |
+
|
| 92 |
# Load just the base manifest (track-level)
|
| 93 |
manifest = load_dataset("earthlyframes/white-training-data", "base_manifest")
|
| 94 |
|
|
|
|
| 120 |
[Collaborative Intelligence License v1.0](https://github.com/brotherclone/white/blob/main/COLLABORATIVE_INTELLIGENCE_LICENSE.md) — This work represents conscious partnership between human creativity and AI. Both parties have agency; both must consent to sharing.
|
| 121 |
|
| 122 |
---
|
| 123 |
+
*Generated 2026-02-12 | [GitHub](https://github.com/brotherclone/white)*
|