Datasets:

kadirnar
/

VyvoTTS-EN-Beta-DPO-samples

id stringlengths 30 35	text stringlengths 23 199	category stringclasses 2 values	prompt_input_ids listlengths 276 476	chosen_input_ids listlengths 120 1.07k	rejected_input_ids listlengths 29 1.1k	reference_text stringlengths 29 98	reference_source_id stringlengths 20 25	chosen_metrics dict	rejected_metrics dict	reward_gap float64 0.01 0.77	model stringclasses 1 value	model_revision stringclasses 1 value	chosen_generation dict	rejected_generation dict	chosen_seed int64 20.3M 20.4M	rejected_seed int64 20.3M 20.4M	chosen_candidate int64 0 2	rejected_candidate int64 0 2	source stringclasses 1 value	source_id stringlengths 20 25	source_speaker_id stringclasses 232 values	source_license stringclasses 1 value	source_url stringclasses 1 value	conditioning stringclasses 1 value	annotation stringclasses 1 value	reference_audio_sha256 stringlengths 64 64	chosen_audio_sha256 stringlengths 64 64	rejected_audio_sha256 stringlengths 64 64
librittsr_103_1241_000021_000000	With this Matthew's companion stopped talking, partly because she was out of breath and partly because they had reached the buggy.	general	[ 151672, 54984, 1431, 11, 358, 1101, 646, 944, 1395, 24605, 429, 358, 3512, 1030, 1189, 3085, 419, 18939, 594, 21741, 10497, 7404, 11, 27037, 1576, 1340, 572, 700, 315, 11486, 323, 27037, 1576, 807, 1030, 8643, 279, 79311, 13, 151645, 15...	[ 155064, 156884, 163585, 167980, 168578, 173874, 177389, 152049, 156272, 160369, 164250, 170769, 174694, 177970, 151759, 156488, 162489, 165633, 168776, 176160, 179301, 154236, 157947, 160711, 165475, 168167, 173667, 180198, 153446, 157587, 163460, 166550...	[ 154002, 157806, 160808, 165682, 169291, 172769, 177315, 152646, 156648, 163369, 168032, 168776, 173874, 177970, 153696, 158040, 160741, 167057, 170422, 173293, 178666, 153451, 157690, 163312, 164951, 172023, 172681, 178911, 153451, 157048, 163118, 167516...	"Well now, I just can't recollect that I ever had."	103_1241_000053_000000	{ "transcript": " with this Matthew's companion stopped talking, partly because she was out of breath and partly because they had reached the buggy.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 21, "char_errors": 0, "char_count": 128, "substitutions": 0, "deletions": 0, "insertions": 0, "...	{ "transcript": " But just Matthew's companion stopped talking, partly because she was out of breath and partly because they had reached the lady.", "wer": 0.14285714285714285, "cer": 0.0859375, "word_errors": 3, "word_count": 21, "char_errors": 11, "char_count": 128, "substitutions": 3, "deletions": ...	0.199893	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,262,917	20,264,917	1	2	OpenSLR/LibriTTS-R/train-clean-100	103_1241_000021_000000	103	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	2721437836d646a31bda0be4ae413ff10fe3840a528ec756ad161cc4cbb578d1	eb5759b137acf41db812121f083eaaf9bbc84bb83f497d214f2cd55ee23a4d05	904925136c74688152aa17096d5fe05236d4638c6b59840eaa996fb83f392584
librittsr_1034_121119_000065_000003	I have always found them; and more,--I repeat it with joy, with triumph,--I have always found some proof of human perversity or error.	general	[ 151672, 7044, 572, 537, 7274, 315, 429, 1335, 19995, 83176, 422, 524, 75, 1561, 6157, 13, 358, 614, 2677, 1730, 1105, 26, 323, 803, 11, 313, 40, 13153, 432, 448, 15888, 11, 448, 37486, 11, 313, 40, 614, 2677, 1730, 1045, 11064, 315,...	[ 154321, 156953, 160465, 166668, 170865, 172998, 179682, 154002, 156665, 162208, 166304, 169394, 172336, 178016, 154327, 159788, 160123, 164380, 170200, 172485, 177593, 155575, 156084, 163482, 167777, 169670, 172781, 177073, 154210, 157089, 162286, 166973...	[ 153408, 156481, 162534, 164604, 171343, 172345, 178014, 152259, 158435, 163369, 167742, 170469, 174342, 179722, 151733, 156066, 160197, 166409, 171459, 174073, 178670, 153415, 159205, 163027, 164378, 168628, 172771, 177726, 153349, 159784, 162376, 167341...	"I was not thinking of that," replied Madame Danglars quickly.	1034_121119_000052_000000	{ "transcript": " I have always found them, and more, I repeat it with joy, with triumph. I have always found some proof of human perversity or error.", "wer": 0.17391304347826086, "cer": 0.016, "word_errors": 4, "word_count": 23, "char_errors": 2, "char_count": 125, "substitutions": 2, "deletions": 0...	{ "transcript": " I have always found them, and more, I repeat it with joy, with triumph, I have always found some proof of human perversity or error.", "wer": 0.17391304347826086, "cer": 0.016, "word_errors": 4, "word_count": 23, "char_errors": 2, "char_count": 125, "substitutions": 2, "deletions": 0...	0.014592	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,260,917	20,264,917	0	2	OpenSLR/LibriTTS-R/train-clean-100	1034_121119_000065_000003	1034	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	72c32f8b17cf50351ec5b65373dedf9f1ad410a4c6a0a6d130f74de83774166b	c37b41130df0313a9230c1ec4468888266caa31411860d5cc3e9222cf57f0fd5	e89c4d2bec6f8308ba760140c373862dd956db69408ab17a8a88dd4fca0e0e26
librittsr_1069_133699_000036_000000	"What did you say about me?" Isabel asked.	quoted	[ 151672, 26708, 429, 594, 279, 1616, 498, 12591, 311, 4228, 1105, 11, 902, 5775, 498, 1513, 944, 1075, 5159, 1189, 330, 3838, 1521, 498, 1977, 911, 752, 7521, 86786, 4588, 13, 151645, 151673, 151674, 151670, 152008, 156628, 163916, 164000, ...	[ 153773, 158042, 160359, 167047, 169898, 172657, 178798, 154127, 157758, 160465, 167135, 168659, 173496, 178429, 155283, 156580, 163366, 166272, 169231, 173643, 176889, 154974, 158212, 163439, 164224, 170542, 175504, 179888, 152884, 155810, 162765, 167286...	[ 154429, 156914, 160407, 164283, 171390, 173264, 176614, 154149, 158665, 161285, 165533, 170937, 175512, 178017, 155154, 157735, 162157, 165762, 171653, 174517, 177981, 155283, 159169, 161503, 164414, 169653, 173992, 177888, 155680, 157318, 163471, 165255...	"If that's the way you desire to treat them, no wonder you don't like America."	1069_133699_000010_000001	{ "transcript": " What did you say about me? Isabel asked.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 8, "char_errors": 0, "char_count": 38, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "what did you say about...	{ "transcript": " What did you say about me? Isabel asked.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 8, "char_errors": 0, "char_count": 38, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "what did you say about...	0.014246	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,262,917	20,260,917	1	0	OpenSLR/LibriTTS-R/train-clean-100	1069_133699_000036_000000	1069	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	56292ba1f24ec4b0a8e9d9aee0fbce2c15faf3cd6e7afdf911d003e644061b89	470bc2f93063024990e6f948a1b74804f7eb5285386fbb16fc2298d905a2976f	7c66ef5ebc77bcff25f262e4475ba06c1dd5295b6d0d9666279c20212d6c9e8c
librittsr_1098_133695_000052_000001	You're too fond of your own ways."	quoted	[ 151672, 7941, 1030, 25189, 1340, 1265, 1490, 1435, 1549, 313, 71, 16367, 2238, 429, 1340, 1265, 1490, 264, 2421, 3800, 13, 1446, 2299, 2238, 21208, 315, 697, 1828, 5510, 1189, 151645, 151673, 151674, 151670, 152781, 156697, 161286, 166540, ...	[ 154002, 158471, 160477, 165364, 170038, 172502, 179505, 154637, 156992, 163298, 164310, 168145, 174777, 177584, 152646, 157950, 161586, 166872, 171562, 175840, 177946, 154204, 158212, 163103, 167599, 171503, 172956, 177543, 153261, 157964, 161200, 164131...	[ 155064, 159516, 162045, 165700, 171017, 173622, 177585, 155064, 158134, 163719, 167254, 168776, 175446, 176291, 152492, 157514, 160369, 167815, 169802, 174413, 179634, 155310, 157947, 161334, 167470, 168813, 175773, 179869, 155377, 156700, 160121, 166856...	She had hoped she should see him again--hoped too that she should see a few others.	1098_133695_000015_000004	{ "transcript": " You're too fond of your own ways.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 7, "char_errors": 0, "char_count": 32, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "you are too fond of your own ...	{ "transcript": " You're too fond of your own ways.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 7, "char_errors": 0, "char_count": 32, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "you are too fond of your own ...	0.029041	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	20,260,917	20,262,917	0	1	OpenSLR/LibriTTS-R/train-clean-100	1098_133695_000052_000001	1098	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	671033b9c0d6917def75350bfebc7ad1201bf91fac96b8cce64561b541cce72f	83e02b56dfd5f89273476a507e85c413383c9a24674fd2d4857cc9d09f7b473c	b072252948ce8c4eb3dfeaae9275f8fbf40449a929a3374fa5e5390cbc8a468b
librittsr_1183_133255_000011_000000	"BULLY SHINE." A waterproof paste polish for all kinds of black shoes and old rubbers.	quoted	[ 151672, 17229, 328, 1808, 82840, 3008, 18224, 434, 46139, 13272, 60993, 328, 11241, 1718, 4295, 19508, 34, 640, 330, 33, 1426, 56, 6434, 3981, 1189, 362, 46419, 24937, 44029, 369, 678, 12829, 315, 3691, 15294, 323, 2310, 10273, 1902, 13, ...	[ 155001, 158222, 163168, 164010, 171356, 175675, 177780, 153387, 158770, 163939, 164420, 168964, 172612, 178389, 155704, 157738, 161164, 165571, 168943, 174790, 177858, 155748, 157253, 160060, 164849, 169964, 175833, 178638, 151759, 157009, 163700, 164060...	[ 155001, 155942, 163855, 164823, 169951, 172376, 176324, 152621, 157716, 163279, 164638, 171412, 175715, 178803, 152208, 158414, 162816, 167266, 170666, 175617, 178144, 155701, 156357, 162229, 167500, 170606, 174720, 180072, 155245, 158831, 163559, 167528...	THE SAD STORY OF MY FATHER'S GREAT SUFFERING FROM CANCER	1183_133255_000058_000000	{ "transcript": " Fully Shine, a waterproof paste polish for all kinds of black shoes and old rubbers.", "wer": 0.06666666666666667, "cer": 0.012195121951219513, "word_errors": 1, "word_count": 15, "char_errors": 1, "char_count": 82, "substitutions": 1, "deletions": 0, "insertions": 0, "normalized...	{ "transcript": " A waterproof paste polish for all kinds of black shoes and old rubbers.", "wer": 0.13333333333333333, "cer": 0.14634146341463414, "word_errors": 2, "word_count": 15, "char_errors": 12, "char_count": 82, "substitutions": 0, "deletions": 2, "insertions": 0, "normalized_wer": 0.1333...	0.097496	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,262,917	20,264,917	1	2	OpenSLR/LibriTTS-R/train-clean-100	1183_133255_000011_000000	1183	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	a469fcf7b4c2d1cfcae0e9b609fc8d59bac7099140c1dff07e75cb2a707dea93	4c95c7cb6bfe6aecffb8236fb6659143e2b758f777ebec15ef0365585562f1dd	557753ba220fa73860a8904c6c5e6ed2d08599b8f7cc6274abfaaafa2850ae0d
librittsr_125_121342_000014_000000	Answer.--That I have about twenty-four dollars to my name.	general	[ 151672, 10022, 8172, 1035, 2525, 311, 911, 429, 2629, 26, 714, 2506, 432, 11, 323, 582, 4880, 387, 69477, 1189, 21806, 32401, 4792, 358, 614, 911, 17073, 41017, 11192, 311, 847, 829, 13, 151645, 151673, 151674, 151670, 152910, 158258, 162...	[ 153514, 158196, 160490, 166027, 169800, 175670, 180163, 152646, 158550, 160547, 166774, 172058, 174015, 176802, 152924, 157854, 161192, 165555, 170049, 173172, 179124, 153261, 156929, 161581, 164542, 168878, 174497, 179253, 155110, 155917, 163698, 166513...	[ 152163, 157806, 160627, 167402, 169356, 172876, 180079, 152370, 156696, 163609, 166800, 170142, 174721, 178516, 154420, 157420, 161061, 164263, 170059, 174625, 178279, 151701, 156418, 161474, 164879, 169232, 175840, 177363, 152947, 156121, 160610, 164971...	"The balance would come to about that sum; but keep it, and we shall be quits."	125_121124_000072_000001	{ "transcript": " Answer, that I have about $24 to my name.", "wer": 0.4444444444444444, "cer": 0.3584905660377358, "word_errors": 4, "word_count": 9, "char_errors": 19, "char_count": 53, "substitutions": 2, "deletions": 1, "insertions": 1, "normalized_wer": 0, "normalized_cer": 0, "normalized...	{ "transcript": " Answer, that I have about $24 to my name.", "wer": 0.4444444444444444, "cer": 0.3584905660377358, "word_errors": 4, "word_count": 9, "char_errors": 19, "char_count": 53, "substitutions": 2, "deletions": 1, "insertions": 1, "normalized_wer": 0, "normalized_cer": 0, "normalized...	0.008562	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	20,260,917	20,262,917	0	1	OpenSLR/LibriTTS-R/train-clean-100	125_121342_000014_000000	125	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	c57ce3d422496e53d24bf106fd518a54a60b33fe8c9b820dc272d431d86c6b13	00164577a51066a90324c26782fca802675383464cd3f8c6aebf5e31f5477aaf	d24fe0d7c1733424fe5b248fd6f7f445c611b3036801082cdc06186e9d0ce4ba
librittsr_1355_39947_000012_000006	That holds true even for very slight abnormalities which seem still within the limits where the own energies can bring about the cure.	general	[ 151672, 71104, 9363, 525, 803, 31449, 304, 678, 1493, 17961, 1091, 279, 8567, 315, 2329, 13, 2938, 9982, 830, 1496, 369, 1602, 8112, 74715, 892, 2803, 2058, 2878, 279, 13388, 1380, 279, 1828, 48869, 646, 4446, 911, 279, 26116, 13, 15164...	[ 155127, 156413, 160069, 166835, 171552, 172618, 179318, 152272, 158110, 162112, 165521, 171440, 174779, 177101, 153773, 155975, 161209, 166677, 169366, 174353, 178231, 153695, 158532, 160635, 167391, 171678, 175642, 178204, 154131, 156738, 161223, 167715...	[ 152336, 156975, 163780, 165877, 170722, 176219, 177953, 154381, 158982, 163434, 167280, 168115, 175060, 178868, 152241, 159245, 161268, 167497, 169120, 174852, 180145, 152569, 156623, 162700, 166130, 168715, 174040, 179526, 154222, 156970, 162208, 167345...	Few factors are more influential in all these directions than the administration of law.	1355_39947_000023_000000	{ "transcript": " That holds true even for very slight abnormalities, which seem still within the limits where the own energies can bring about the cure.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 23, "char_errors": 0, "char_count": 133, "substitutions": 0, "deletions": 0, "insertions": 0...	{ "transcript": " That holds true even for very slight abnormalities, which seem still within the limits where the own energies can bring about the cure.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 23, "char_errors": 0, "char_count": 133, "substitutions": 0, "deletions": 0, "insertions": 0...	0.011086	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,260,917	20,264,917	0	2	OpenSLR/LibriTTS-R/train-clean-100	1355_39947_000012_000006	1355	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	c3ce00130f5cd5a5ef4f29b0dd9fd6d1c52cb874aa22ddb9d415c4d8a482b450	a628be3222f7107f46dc75af83117a07399f49d403a1437eae2b6cc9d85e2357	3e17b7e58e3e93903458d80ee3b2eba7809ea584a5450ec4048a31445161c8dd
librittsr_1363_139304_000011_000002	He realised that he was intensely hungry.	general	[ 151672, 3036, 429, 10000, 323, 4399, 11, 1075, 279, 8146, 65106, 315, 1438, 388, 389, 1051, 6066, 642, 30, 1260, 40093, 429, 566, 572, 69633, 28956, 13, 151645, 151673, 151674, 151670, 155425, 156376, 161082, 166544, 170664, 174345, 178679, ...	[ 152396, 159193, 159881, 167708, 170594, 174645, 177390, 154696, 159856, 160754, 164850, 172144, 175989, 179996, 155598, 156465, 160300, 166337, 168753, 172588, 178457, 152500, 157885, 160754, 165481, 170173, 173042, 177138, 154696, 159856, 163259, 167355...	[ 153747, 158306, 160300, 166247, 168134, 176136, 177533, 152735, 159856, 163612, 164850, 168753, 175900, 177138, 154696, 156465, 161006, 165102, 172144, 173042, 179996, 155598, 157731, 163612, 167708, 172144, 173042, 177390, 152816, 159579, 161357, 166233...	And that rise and fall, like the murmur of breakers on pebbles?	1363_139304_000009_000002	{ "transcript": " He realized that he was intensely hungry.", "wer": 0.14285714285714285, "cer": 0.025, "word_errors": 1, "word_count": 7, "char_errors": 1, "char_count": 40, "substitutions": 1, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": ...	{ "transcript": " He realized that he was intensely hungry.", "wer": 0.14285714285714285, "cer": 0.025, "word_errors": 1, "word_count": 7, "char_errors": 1, "char_count": 40, "substitutions": 1, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": ...	0.012498	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,262,917	20,260,917	1	0	OpenSLR/LibriTTS-R/train-clean-100	1363_139304_000011_000002	1363	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	18b5a332cebd6a8b0f5bc42d274176277ebcd705fa25ad4a291f0ad9e1b56848	a4fc4e6ad3be9886bb3b40a53df4394058881d817c40871f6e8b4f2179c1208a	7a4ef660e7d136ef4731fcb6b1ba510d1cfd40247d2916a7f17dafb61d6af785
librittsr_1447_17506_000035_000001	The young man greeted him with a smile and a bow.	general	[ 151672, 63718, 273, 3757, 420, 380, 832, 56050, 323, 14858, 3123, 311, 279, 3241, 13, 576, 3908, 883, 43765, 1435, 448, 264, 15289, 323, 264, 15273, 13, 151645, 151673, 151674, 151670, 154620, 157439, 161490, 165306, 169149, 175380, 176282, ...	[ 154267, 159686, 161547, 164583, 171622, 174719, 178654, 154413, 158079, 161182, 164519, 171910, 175257, 179404, 151785, 158596, 160393, 165174, 171150, 174166, 179017, 153763, 156060, 160370, 167150, 168065, 173322, 179296, 151770, 156014, 163718, 165124...	[ 152816, 157590, 161532, 164975, 170594, 173167, 179885, 154696, 159856, 160754, 167708, 168753, 173294, 179996, 152500, 157885, 160754, 164850, 170173, 173042, 177138, 154696, 156465, 163612, 165102, 172144, 175900, 180085, 153793, 158306, 162357, 166453...	Uncle John whistled softly and walked away to the window.	1447_17506_000035_000000	{ "transcript": " The young man greeted him with a smile and a bow.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 11, "char_errors": 0, "char_count": 48, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "the young ma...	{ "transcript": " The young man greeted him with a smile and a bow.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 11, "char_errors": 0, "char_count": 48, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "the young ma...	0.022316	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,264,917	20,260,917	2	0	OpenSLR/LibriTTS-R/train-clean-100	1447_17506_000035_000001	1447	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	a6980ef64e1aab15bfb139dfc64ba302ca029b35059d26ac142ba4c7fe218b9b	583a7f62cfb166da6db794b8074aa3e52d7553dabffa9df78b2c945d12c50c9a	0bdb5f0da76c9e9a95d34fef1927b83fcd09619641d15092ed10b597095ff657
librittsr_1502_122619_000035_000002	they are colored by the same sun, and their just men will hunt in the same grounds after death.	general	[ 151672, 785, 2518, 1331, 11704, 1265, 387, 4780, 11, 323, 1401, 448, 1787, 6414, 389, 279, 4158, 2953, 13, 807, 525, 27197, 553, 279, 1852, 7015, 11, 323, 862, 1101, 2953, 686, 19073, 304, 279, 1852, 20664, 1283, 4545, 13, 151645, 151...	[ 155055, 159569, 162943, 166517, 171989, 175171, 176612, 152058, 156306, 161962, 167656, 169762, 173443, 178319, 153456, 157451, 162520, 166916, 168975, 175815, 177390, 155310, 159615, 163244, 166443, 168545, 173489, 178607, 152795, 157913, 162497, 164293...	[ 154149, 159179, 163302, 167815, 169049, 172376, 177090, 153152, 156090, 162817, 167939, 168242, 173684, 176310, 154831, 158492, 163727, 164177, 171213, 172748, 177570, 154099, 157460, 163889, 166002, 170666, 172673, 179274, 155035, 156018, 162815, 164319...	The red-skins should be friends, and look with open eyes on the white men.	1502_122619_000035_000003	{ "transcript": " They are colored by the same sun, and their just men will hunt in the same ground after death.", "wer": 0.05263157894736842, "cer": 0.010752688172043012, "word_errors": 1, "word_count": 19, "char_errors": 1, "char_count": 93, "substitutions": 1, "deletions": 0, "insertions": 0, "...	{ "transcript": " They are colored by the same sun, and their just men will hunt in the same ground after death.", "wer": 0.05263157894736842, "cer": 0.010752688172043012, "word_errors": 1, "word_count": 19, "char_errors": 1, "char_count": 93, "substitutions": 1, "deletions": 0, "insertions": 0, "...	0.009525	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	20,260,917	20,262,917	0	1	OpenSLR/LibriTTS-R/train-clean-100	1502_122619_000035_000002	1502	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	24c162416a5fc7944ed167f4f3f6b9d8b4be2f59cde0b5a0caca1e74e2f971a9	c0e30b15e60b4347ccfe91cb362058e6179218fbbc6b87f1ca46e5fb669570db	053133fc7b2bf95fd4b2a0f66371242559897e2a6c7b3921904d3942fdf83e86
librittsr_1594_135914_000019_000000	The caliph's favourite having dried up hers, said to Ganem's mother, "Be so kind as to tell us your misfortunes, and recount your story.	quoted	[ 151672, 3838, 86063, 5730, 470, 614, 498, 3949, 369, 697, 2453, 323, 5091, 30, 576, 1620, 15261, 594, 18696, 3432, 31620, 705, 10837, 11, 1053, 311, 49081, 336, 594, 6554, 11, 330, 3430, 773, 3093, 438, 311, 3291, 601, 697, 5786, 3969...	[ 155731, 159856, 161507, 164975, 170594, 173294, 177390, 153793, 158306, 161006, 166337, 172144, 174630, 179996, 154696, 156465, 163612, 165102, 168753, 175900, 179996, 155598, 156465, 162241, 164396, 168753, 174529, 176684, 154696, 158693, 160754, 166089...	[ 155731, 158485, 160787, 165849, 172144, 173167, 177263, 155598, 156465, 161006, 164396, 168753, 175900, 178625, 152500, 157731, 162073, 166169, 172144, 174529, 177390, 154696, 158693, 163612, 165245, 169878, 172568, 176797, 151913, 158343, 163029, 166248...	What melancholy return have you received for your care and respect?	1594_135914_000005_000003	{ "transcript": " The Caliph's favorite having dried up hers, said to Ganon's mother, be so kind as to tell us your misfortunes and recount your story.", "wer": 0.08333333333333333, "cer": 0.022900763358778626, "word_errors": 2, "word_count": 24, "char_errors": 3, "char_count": 131, "substitutions": 2, ...	{ "transcript": " The Kaelas favored having dried up hers, said to Ganem's mother, be so kind as to tell us your misfortunes and recount your story.", "wer": 0.08333333333333333, "cer": 0.07633587786259542, "word_errors": 2, "word_count": 24, "char_errors": 10, "char_count": 131, "substitutions": 2, "...	0.117144	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	20,260,917	20,262,917	0	1	OpenSLR/LibriTTS-R/train-clean-100	1594_135914_000019_000000	1594	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	7d0e9c740311140e374922dd7b77136e029440fd8c165e379b37abe4edc27315	0a1eab4d1a7f50a76f62f67e0b47ae070a5a5fecd07f3376f31f205823498acb	b37e16b75628fa925ed6d8e86f43173d6b615b6e225b43c5a06dbc750e9620e6
librittsr_1624_142933_000017_000000	"I would never have guessed it," said Peter.	quoted	[ 151672, 2679, 807, 1521, 807, 1035, 5135, 6774, 586, 311, 4545, 11, 369, 67443, 323, 49723, 6940, 1513, 944, 1537, 1293, 13, 330, 40, 1035, 2581, 614, 42310, 432, 1335, 1053, 11044, 13, 151645, 151673, 151674, 151670, 154451, 158258, 1629...	[ 153621, 158485, 161302, 165046, 169467, 174630, 178726, 154696, 159856, 163501, 167797, 172144, 173042, 179996, 152500, 157885, 160754, 164850, 172144, 174529, 178741, 154696, 156465, 162073, 166453, 172144, 175900, 179996, 153793, 158665, 161262, 166438...	[ 153621, 157590, 163260, 164164, 171481, 173731, 177263, 153793, 159856, 161006, 165102, 172144, 172588, 177390, 152500, 157885, 160754, 164850, 172144, 174645, 178457, 154696, 156465, 163612, 167708, 170981, 172169, 178625, 155598, 156465, 160300, 166337...	If they did they would soon starve to death, for buds and blossoms don't last long.	1624_142933_000022_000003	{ "transcript": " I would never have guessed it, said Peter.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 8, "char_errors": 0, "char_count": 40, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "i would never have g...	{ "transcript": " I would never have guessed it,\" said Peter.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 8, "char_errors": 0, "char_count": 40, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "i would never have...	0.009721	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	20,264,917	20,262,917	2	1	OpenSLR/LibriTTS-R/train-clean-100	1624_142933_000017_000000	1624	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	ac0b312577d8c8cc203ffe4bbdd10e9894aa90749b8a4b8e35198f693c3c6df8	76d9be250a44008177e00a2231182e4d3c2890a017919603bf6b0b24769a7600	e2cf875a2047e085ec33bb5a200563cbc642b606c615032a42392c9e9db1810c
librittsr_163_122947_000016_000003	But let us not be afraid!	general	[ 151672, 3872, 537, 2272, 264, 7739, 3039, 2238, 2805, 369, 601, 313, 983, 38686, 13217, 30, 1988, 1077, 601, 537, 387, 16575, 0, 151645, 151673, 151674, 151670, 155372, 159479, 160874, 165502, 169606, 174785, 179025, 152449, 159706, 159875, 1...	[ 153687, 158976, 161906, 167815, 168943, 175689, 178794, 155035, 156992, 161592, 167106, 171375, 175416, 180089, 154745, 158344, 162517, 166297, 170462, 175379, 176951, 152816, 155863, 161149, 164208, 168753, 175953, 178726, 155598, 157731, 163612, 167708...	[ 153297, 158307, 160204, 166629, 172123, 175538, 178509, 153046, 156202, 162943, 167254, 170016, 172502, 177861, 153078, 158971, 162125, 165573, 171239, 175945, 178562, 155509, 158485, 161127, 165500, 169981, 174936, 180256, 153136, 157153, 163016, 166936...	Is not life a hundred times too short for us--to bore ourselves?	163_122947_000015_000008	{ "transcript": " But let us not be afraid.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 6, "char_errors": 0, "char_count": 24, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "but let us not be afraid", "normali...	{ "transcript": " What? Let us not be afraid.", "wer": 0.16666666666666666, "cer": 0.125, "word_errors": 1, "word_count": 6, "char_errors": 3, "char_count": 24, "substitutions": 1, "deletions": 0, "insertions": 0, "normalized_wer": 0.16666666666666666, "normalized_cer": 0.125, "normalized_refe...	0.242442	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20260917, "temperature": 0.6, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,262,917	20,260,917	1	0	OpenSLR/LibriTTS-R/train-clean-100	163_122947_000016_000003	163	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	598a5c2a52d3ff5b7d5c7eddb746fec4b6588fe70ffaef5c68e28ab09d203d7d	92378321cba349e598dc7c86ef888a9a20c7cd371e1e5d9ff0fad722019091d6	3ea2c75aeee7102a75fdaa18283754c16af3ab1e37ccdb03213908754656a3e6
librittsr_1841_150351_000017_000006	In these boats the Indians take trips of hundreds of miles.	general	[ 151672, 1911, 22889, 711, 7531, 6593, 2149, 640, 60314, 311, 806, 35171, 11, 49799, 73695, 11, 432, 572, 264, 2588, 12406, 13, 758, 1493, 31631, 279, 29407, 1896, 22466, 315, 11499, 315, 8756, 13, 151645, 151673, 151674, 151670, 152667, 1...	[ 152227, 156309, 161753, 167008, 171979, 175441, 179706, 153853, 159183, 163078, 164335, 170172, 173785, 177352, 154502, 157605, 162131, 165286, 168926, 175316, 176961, 153461, 157681, 160044, 166843, 168443, 172783, 177332, 154185, 159298, 163362, 164200...	[ 155234, 157666, 160715, 165327, 169756, 175346, 177279, 154277, 159183, 162691, 165288, 170593, 175323, 177904, 153825, 158324, 160305, 164751, 171894, 174325, 176439, 153334, 157369, 163826, 164250, 169969, 173938, 177675, 154347, 157273, 163104, 164201...	AS SIMON SCREECHER remarked to his cousin, Solomon Owl, it was a hard winter.	1841_159771_000036_000000	{ "transcript": " In these boats, the Indians take trips of hundreds of miles.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 11, "char_errors": 0, "char_count": 58, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "i...	{ "transcript": " In these boats, the Indians take trips of hundreds of miles.", "wer": 0, "cer": 0, "word_errors": 0, "word_count": 11, "char_errors": 0, "char_count": 58, "substitutions": 0, "deletions": 0, "insertions": 0, "normalized_wer": 0, "normalized_cer": 0, "normalized_reference": "i...	0.011723	Vyvo/VyvoTTS-EN-Beta	70b37a5bfdbdc2f478515837081048aac63f909e	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20262917, "temperature": 1, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee71...	{ "model": "Vyvo/VyvoTTS-EN-Beta", "revision": "70b37a5bfdbdc2f478515837081048aac63f909e", "seed": 20264917, "temperature": 1.2, "top_p": 0.95, "repetition_penalty": 1.1, "batch_size": 64, "max_new_tokens": 1401, "candidates": 1, "conditioning": "continuation", "prompts_sha256": "b3b2160cc7395dbee...	20,262,917	20,264,917	1	2	OpenSLR/LibriTTS-R/train-clean-100	1841_150351_000017_000006	1841	CC-BY-4.0	https://www.openslr.org/141/	continuation	automatic-not-human-reviewed	a722020b61ae1af7fd3d70bc9ee204e5b3ed422f1815e826cf528f62aab34fa3	b499a84565efbff9796074d4f838c755a0a9df6639a5702fc9a244fa34591e43	94df7888a9cbd277362f4452580e301298b0cccca3c0cf1533aca41dc9c613f0

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VyvoTTS EN-Beta — 2,000 automatic DPO pairs

Exactly 2,000 unique target texts and chosen/rejected pairs, generated by Vyvo/VyvoTTS-EN-Beta at revision 70b37a5bfdbdc2f478515837081048aac63f909e. Each row embeds the actual 24 kHz reference, chosen and rejected audio, raw prompt and completion codec IDs, transcripts, WER/CER, DNSMOS P.835, sampling settings, seeds and waveform SHA-256 checksums. Both candidate waveforms are actual model outputs; no artificial corruption.

Reference-audio continuation conditioning matches the working EN-Beta inference interface. Candidates use temperatures 0.6, 1.0 and 1.2, top-p 0.95, top-k 20, repetition penalty 1.1. Preferred status is determined by metrics, never by temperature. Maximum prompt-plus-completion length is 2100 tokens; no audio tokens are truncated. The sampler is qwen3-compact-codebook-v1: valid-codebook projection with finished rows removed from the batch. Its RNG sequence differs from dense generation; backend and per-candidate batch size are retained in generation metadata.

Selection and limitations

Whisper-large-v3 FP32 transcribes every valid candidate. Selection uses Whisper English normalization after Unicode NFKC and curly-apostrophe canonicalization (whisper-english-unicode-v1). Original seed-style and original Whisper-normalized WER/CER are also retained. Chosen WER must be <=0.10 and DNSMOS OVRL >=3.0. A pair must improve WER by >=0.05 with DNSMOS loss <=0.05, or improve DNSMOS by >=0.1 without WER loss. Ties, invalid codec output and overlength completions are not preference pairs.

Labels are automatic, not human-reviewed. DNSMOS is an estimate, and ASR can make errors. Speaker similarity is not a selection metric. This dataset alone does not establish post-training improvements; evaluate trained checkpoints separately. The train split contains all 2,000 rows. Select a separate validation set before training; do not use seed-tts-eval for training or checkpoint selection.

Source and attribution

Text and reference recordings come only from the train-clean-100 split of LibriTTS-R (CC BY 4.0), by Yuma Koizumi et al., “LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus” (2023), derived from LibriTTS and LibriSpeech/LibriVox. Target speech was newly synthesized by EN-Beta; source IDs, speaker IDs and reference IDs are retained. Exact text matches and eight-word overlaps with seed-tts-eval English reference/target texts are excluded. No benchmark waveform is used as a training reference.

The source checkpoint has no declared license in its model card. This dataset does not assign a new license to the checkpoint or override source rights. See source_manifest.json, mining_report.json and validation.json for provenance and counts. This replaces the earlier 15-row demonstration in the same repo.

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