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Datasets:
earthlyframes
/
white-training-data

Modalities:
Tabular
Text
Audio
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
music
multimodal
audio
midi
chromatic-taxonomy
rebracketing
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
earthlyframes commited on
Commit
572729d
·
verified ·
1 Parent(s): 74199d9

v0.3.0: update base_manifest

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Files changed (1) hide show
  1. README.md +118 -0
README.md CHANGED
@@ -14,6 +14,124 @@ tags:
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  - evolutionary-composition
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  size_categories:
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  - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # White Training Data
 
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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
108
+ - 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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+ 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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  ---
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  # White Training Data