Upload rvc_converted_series/rvc_converted_meta.json with huggingface_hub
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rvc_converted_series/rvc_converted_meta.json
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{
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"task": "TASK-27: Batch RVC voice conversion",
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"model": "one_voice_rvc_v2.pth",
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"vocoder": "griffin_lim",
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"total_clips":
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"successful": 0,
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"results": [
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{
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"index": 1,
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"source_series": "showcase_hq",
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"source_file": "one_hq_03.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 459], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "showcase_hq",
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"source_file": "one_hq_07.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 710], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "abc_series",
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"source_file": "one_abc_01.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 459], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "abc_series",
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"source_file": "one_abc_13.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 515], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "emotions_series",
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"source_file": "one_emotion_01.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 868], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "emotions_series",
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"source_file": "one_emotion_10.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 1081], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "story_time_v2",
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"source_file": "one_story_01.wav",
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"
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"error": "istft(CPUComplexFloatType[1, 128, 811], n_fft=1024, hop_length=256, win_length=1024, window=torch.FloatTensor{[1024]}, center=1, normalized=0, onesided=None, length=None, return_complex=0) : expected the frequency dimension (3rd to the last) of the input tensor to match n_fft / 2 + 1 when onesided=True, but got 128"
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},
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{
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"index":
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"source_series": "story_time_v2",
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"source_file": "one_story_10.wav",
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"
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}
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],
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"timestamp": "2026-04-03 07:
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}
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{
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"task": "TASK-27: Batch RVC voice conversion (correct architecture)",
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"model": "one_voice_rvc_v2.pth (strict=True, 0 missing/unexpected)",
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"vocoder": "inverse_mel_scale + griffin_lim (60 iter)",
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"total_clips": 20,
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"successful": 0,
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"total_duration_sec": 0,
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"results": [
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{
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"index": 1,
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"source_series": "edu_series",
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"source_file": "count_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 2,
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"source_series": "edu_series",
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"source_file": "count_05.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 3,
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"source_series": "showcase_hq",
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"source_file": "one_hq_03.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 4,
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"source_series": "showcase_hq",
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"source_file": "one_hq_07.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 5,
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"source_series": "number_song",
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"source_file": "one_counting_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 6,
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"source_series": "number_song",
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"source_file": "one_counting_05.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 7,
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"source_series": "abc_series",
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"source_file": "one_abc_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 8,
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"source_series": "abc_series",
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"source_file": "one_abc_13.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 9,
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"source_series": "emotions_series",
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"source_file": "one_emotion_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 10,
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"source_series": "emotions_series",
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"source_file": "one_emotion_10.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 11,
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"source_series": "actions_series",
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"source_file": "one_actions_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 12,
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"source_series": "actions_series",
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"source_file": "one_actions_10.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 13,
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"source_series": "animals_series",
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"source_file": "one_animals_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 14,
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"source_series": "animals_series",
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"source_file": "one_animals_10.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 15,
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"source_series": "story_time_v2",
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"source_file": "one_story_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 16,
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"source_series": "story_time_v2",
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"source_file": "one_story_10.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 17,
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"source_series": "colors_series",
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"source_file": "one_color_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 18,
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"source_series": "colors_series",
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"source_file": "one_color_10.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 19,
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"source_series": "opposites_series",
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"source_file": "one_opposites_01.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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},
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{
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"index": 20,
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"source_series": "opposites_series",
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"source_file": "one_opposites_10.wav",
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"error": "torch.linalg.lstsq: The least squares solution could not be computed because the input matrix does not have full rank (error code: 1)."
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}
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],
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"timestamp": "2026-04-03 07:39:01"
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}
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