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Update dataset card for v0.2.0

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  1. README.md +14 -359
README.md CHANGED
@@ -14,360 +14,6 @@ tags:
14
  - 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
51
- dtype: bool
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- - name: lrc_lyrics
53
- dtype: string
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- - name: sounds_like
55
- dtype: string
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- - name: mood
57
- 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
153
- dtype: float64
154
- - name: end_seconds
155
- dtype: float64
156
- - name: duration_seconds
157
- dtype: float64
158
- - name: has_audio
159
- dtype: bool
160
- - name: has_midi
161
- dtype: bool
162
- - name: lyric_text
163
- dtype: string
164
- - name: structure_section
165
- dtype: string
166
- - name: segment_type
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- dtype: string
168
- - name: original_start_seconds
169
- dtype: float64
170
- - name: original_end_seconds
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- dtype: float64
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- - name: has_structure_adjustments
173
- dtype: bool
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- - name: structure_adjustments
175
- dtype: string
176
- - name: is_sub_segment
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- dtype: bool
178
- - name: sub_segment_info
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- dtype: string
180
- - name: lrc_line_number
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- dtype: float64
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- - name: lyric_char_count
183
- dtype: uint32
184
- - name: lyric_word_count
185
- dtype: uint32
186
- - name: start_adjustment_seconds
187
- dtype: float64
188
- - name: end_adjustment_seconds
189
- dtype: float64
190
- - name: content_type
191
- dtype: string
192
- - name: manifest_track_key
193
- dtype: string
194
- - name: bpm
195
- dtype: int64
196
- - name: tempo_numerator
197
- dtype: float64
198
- - name: tempo_denominator
199
- dtype: float64
200
- - name: key_signature_note
201
- dtype: string
202
- - name: key_signature_mode
203
- dtype: string
204
- - name: rainbow_color
205
- dtype: string
206
- - name: rainbow_color_temporal_mode
207
- dtype: string
208
- - name: rainbow_color_objectional_mode
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- dtype: string
210
- - name: rainbow_color_ontological_mode
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- dtype: string
212
- - name: transmigrational_mode
213
- dtype: string
214
- - name: title
215
- dtype: string
216
- - name: release_date
217
- dtype: string
218
- - name: total_running_time
219
- dtype: string
220
- - name: vocals
221
- dtype: bool
222
- - name: lyrics
223
- dtype: bool
224
- - name: lrc_lyrics
225
- dtype: string
226
- - name: sounds_like
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- dtype: string
228
- - name: mood
229
- dtype: string
230
- - name: genres
231
- dtype: string
232
- - name: lrc_file
233
- dtype: string
234
- - name: concept
235
- dtype: string
236
- - name: training_data
237
- struct:
238
- - name: album_sequence
239
- dtype: int64
240
- - name: avg_word_length
241
- dtype: float64
242
- - name: boundary_fluidity_score
243
- dtype: float64
244
- - name: concept_length
245
- dtype: int64
246
- - name: discrepancy_intensity
247
- dtype: float64
248
- - name: exclamation_marks
249
- dtype: int64
250
- - name: has_rebracketing_markers
251
- dtype: bool
252
- - name: memory_discrepancy_severity
253
- dtype: float64
254
- - name: narrative_complexity
255
- dtype: float64
256
- - name: ontological_uncertainty
257
- dtype: float64
258
- - name: question_marks
259
- dtype: int64
260
- - name: rebracketing_coverage
261
- dtype: float64
262
- - name: rebracketing_intensity
263
- dtype: float64
264
- - name: rebracketing_type
265
- dtype: string
266
- - name: sentence_count
267
- dtype: int64
268
- - name: temporal_complexity_score
269
- dtype: float64
270
- - name: track_duration
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- dtype: float64
272
- - name: track_id
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- dtype: string
274
- - name: track_position
275
- dtype: int64
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- - name: uncertainty_level
277
- dtype: float64
278
- - 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
288
- download_size: 580351
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- dataset_size: 35869494
290
- - config_name: training_segments
291
- 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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  ---
372
 
373
  # White Training Data
@@ -388,7 +34,7 @@ These models are **fitness functions for evolutionary music composition**, not c
388
 
389
  ## Version
390
 
391
- Current: **v0.2.0** — 2026-02-10
392
 
393
  ## Dataset Structure
394
 
@@ -407,11 +53,11 @@ Current: **v0.2.0** — 2026-02-10
407
  | Orange | 1,731 | 83.8% | 51.1% | 100.0% |
408
  | Yellow | 656 | 88.0% | 52.9% | 52.6% |
409
  | Green | 393 | 90.1% | 69.5% | 0.0% |
410
- | Blue | 2,097 | 96.0% | 12.1% | 100.0% |
411
- | Indigo | 1,406 | 77.2% | 34.1% | 100.0% |
412
  | Violet | 2,100 | 75.9% | 55.6% | 100.0% |
 
 
413
 
414
- **Note:** Audio waveforms and MIDI binaries are stored separately (not included in this dataset due to size). This dataset contains the metadata, segment boundaries, lyric text, and computed training features needed for model training. The media parquet (~15 GB) is used locally during training.
415
 
416
  ## Key Features
417
 
@@ -426,6 +72,12 @@ Current: **v0.2.0** — 2026-02-10
426
  - `has_audio` / `has_midi` — Modality availability flags
427
  - `start_seconds` / `end_seconds` — Segment time boundaries
428
 
 
 
 
 
 
 
429
  ## Usage
430
 
431
  ```python
@@ -434,6 +86,9 @@ from datasets import load_dataset
434
  # Load the primary training table (segments + manifest metadata)
435
  training = load_dataset("earthlyframes/white-training-data", "training_full")
436
 
 
 
 
437
  # Load just the base manifest (track-level)
438
  manifest = load_dataset("earthlyframes/white-training-data", "base_manifest")
439
 
@@ -465,4 +120,4 @@ Spatial mode is bottlenecked by instrumental albums (Yellow, Green) which lack t
465
  [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.
466
 
467
  ---
468
- *Generated 2026-02-10 | [GitHub](https://github.com/brotherclone/white)*
 
14
  - evolutionary-composition
15
  size_categories:
16
  - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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)*