Upload 8 files
Browse files- config.json +835 -0
- language_ids.json +7 -0
- speakers.pth +3 -0
- vctk-en-gb-16k-ds_speakers.pth +3 -0
- vctk-en-us-16k-ds_speakers.pth +3 -0
- vctk_de_speakers.pth +3 -0
- vctk_es_speakers.pth +3 -0
- vctk_fr_speakers.pth +3 -0
config.json
ADDED
@@ -0,0 +1,835 @@
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1 |
+
{
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2 |
+
"output_path": "/home/nano/TTS/models/vctk-yourtts2-ft-16k-ds/traineroutput/",
|
3 |
+
"logger_uri": null,
|
4 |
+
"run_name": "VITS-ml-ms",
|
5 |
+
"project_name": "YourTTS",
|
6 |
+
"run_description": "YourTTS EN-DE-ES-FR",
|
7 |
+
"print_step": 50,
|
8 |
+
"plot_step": 100,
|
9 |
+
"model_param_stats": false,
|
10 |
+
"wandb_entity": null,
|
11 |
+
"dashboard_logger": "tensorboard",
|
12 |
+
"save_on_interrupt": true,
|
13 |
+
"log_model_step": 500,
|
14 |
+
"save_step": 1000,
|
15 |
+
"save_n_checkpoints": 3,
|
16 |
+
"save_checkpoints": true,
|
17 |
+
"save_all_best": true,
|
18 |
+
"save_best_after": 10000,
|
19 |
+
"target_loss": "loss_1",
|
20 |
+
"print_eval": true,
|
21 |
+
"test_delay_epochs": -1,
|
22 |
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"run_eval": true,
|
23 |
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"run_eval_steps": null,
|
24 |
+
"distributed_backend": "nccl",
|
25 |
+
"distributed_url": "tcp://localhost:54321",
|
26 |
+
"mixed_precision": false,
|
27 |
+
"precision": "fp16",
|
28 |
+
"epochs": 1000,
|
29 |
+
"batch_size": 16,
|
30 |
+
"eval_batch_size": 16,
|
31 |
+
"grad_clip": [
|
32 |
+
1000,
|
33 |
+
1000
|
34 |
+
],
|
35 |
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"scheduler_after_epoch": true,
|
36 |
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"lr": 0.001,
|
37 |
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"optimizer": "AdamW",
|
38 |
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"optimizer_params": {
|
39 |
+
"betas": [
|
40 |
+
0.8,
|
41 |
+
0.99
|
42 |
+
],
|
43 |
+
"eps": 1e-09,
|
44 |
+
"weight_decay": 0.01
|
45 |
+
},
|
46 |
+
"lr_scheduler": null,
|
47 |
+
"lr_scheduler_params": {},
|
48 |
+
"use_grad_scaler": false,
|
49 |
+
"allow_tf32": false,
|
50 |
+
"cudnn_enable": true,
|
51 |
+
"cudnn_deterministic": false,
|
52 |
+
"cudnn_benchmark": false,
|
53 |
+
"training_seed": 54321,
|
54 |
+
"model": "vits",
|
55 |
+
"num_loader_workers": 4,
|
56 |
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"num_eval_loader_workers": 4,
|
57 |
+
"use_noise_augment": false,
|
58 |
+
"audio": {
|
59 |
+
"fft_size": 1024,
|
60 |
+
"sample_rate": 16000,
|
61 |
+
"win_length": 1024,
|
62 |
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"hop_length": 256,
|
63 |
+
"num_mels": 80,
|
64 |
+
"mel_fmin": 0.0,
|
65 |
+
"mel_fmax": null
|
66 |
+
},
|
67 |
+
"use_phonemes": false,
|
68 |
+
"phonemizer": "espeak",
|
69 |
+
"phoneme_language": "en-us",
|
70 |
+
"compute_input_seq_cache": true,
|
71 |
+
"text_cleaner": "basic_cleaners",
|
72 |
+
"enable_eos_bos_chars": false,
|
73 |
+
"test_sentences_file": "",
|
74 |
+
"phoneme_cache_path": "/home/nano/TTS/models/vctk-yourtts2-ft-16k-ds/traineroutput/phoneme_cache",
|
75 |
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"characters": {
|
76 |
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"characters_class": "TTS.tts.models.vits.VitsCharacters",
|
77 |
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"vocab_dict": null,
|
78 |
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"pad": "_",
|
79 |
+
"eos": "&",
|
80 |
+
"bos": "*",
|
81 |
+
"blank": null,
|
82 |
+
"characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\u00af\u00b7\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e6\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f9\u00fa\u00fb\u00fc\u00ff\u0101\u0105\u0107\u0113\u0119\u011b\u012b\u0131\u0142\u0144\u014d\u0151\u0153\u015b\u016b\u0171\u017a\u017c\u01ce\u01d0\u01d2\u01d4\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044a\u044b\u044c\u044d\u044e\u044f\u0451\u0454\u0456\u0457\u0491\u2013!'(),-.:;? ",
|
83 |
+
"punctuations": "!'(),-.:;? ",
|
84 |
+
"phonemes": "",
|
85 |
+
"is_unique": true,
|
86 |
+
"is_sorted": true
|
87 |
+
},
|
88 |
+
"add_blank": true,
|
89 |
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"batch_group_size": 0,
|
90 |
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"loss_masking": null,
|
91 |
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"min_audio_len": 1,
|
92 |
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"max_audio_len": 160000,
|
93 |
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"min_text_len": 1,
|
94 |
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"max_text_len": 525,
|
95 |
+
"compute_f0": false,
|
96 |
+
"compute_energy": false,
|
97 |
+
"compute_linear_spec": true,
|
98 |
+
"precompute_num_workers": 0,
|
99 |
+
"start_by_longest": false,
|
100 |
+
"shuffle": false,
|
101 |
+
"drop_last": false,
|
102 |
+
"datasets": [
|
103 |
+
{
|
104 |
+
"formatter": "vctk",
|
105 |
+
"dataset_name": "vctk-en-us-16k-ds",
|
106 |
+
"path": "/home/nano/TTS/training-datasets/vctk-en-us-16k-ds/",
|
107 |
+
"meta_file_train": "",
|
108 |
+
"ignored_speakers": [],
|
109 |
+
"language": "en-us",
|
110 |
+
"phonemizer": "espeak",
|
111 |
+
"meta_file_val": "",
|
112 |
+
"meta_file_attn_mask": ""
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"formatter": "vctk",
|
116 |
+
"dataset_name": "vctk_es",
|
117 |
+
"path": "/home/nano/TTS/training-datasets/vctk-es-16k-ds/",
|
118 |
+
"meta_file_train": "",
|
119 |
+
"ignored_speakers": [],
|
120 |
+
"language": "es",
|
121 |
+
"phonemizer": "espeak",
|
122 |
+
"meta_file_val": "",
|
123 |
+
"meta_file_attn_mask": ""
|
124 |
+
},
|
125 |
+
{
|
126 |
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179 |
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192 |
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194 |
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196 |
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197 |
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210 |
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211 |
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212 |
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213 |
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214 |
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215 |
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217 |
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218 |
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225 |
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226 |
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|
227 |
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228 |
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229 |
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230 |
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231 |
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232 |
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233 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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235 |
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236 |
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237 |
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238 |
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|
239 |
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240 |
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241 |
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243 |
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244 |
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245 |
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247 |
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249 |
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250 |
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251 |
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253 |
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254 |
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|
255 |
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256 |
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|
257 |
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265 |
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266 |
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267 |
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268 |
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269 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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271 |
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272 |
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273 |
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279 |
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280 |
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|
281 |
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283 |
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285 |
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286 |
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287 |
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289 |
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290 |
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292 |
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|
293 |
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295 |
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296 |
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297 |
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298 |
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|
299 |
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300 |
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301 |
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302 |
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303 |
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304 |
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305 |
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307 |
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308 |
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309 |
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310 |
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|
311 |
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313 |
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314 |
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315 |
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316 |
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|
317 |
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318 |
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319 |
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320 |
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321 |
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322 |
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323 |
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324 |
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325 |
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326 |
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|
327 |
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328 |
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|
329 |
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332 |
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335 |
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336 |
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337 |
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338 |
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339 |
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340 |
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341 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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342 |
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343 |
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344 |
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345 |
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346 |
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347 |
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353 |
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354 |
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355 |
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356 |
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357 |
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358 |
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359 |
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360 |
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361 |
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362 |
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363 |
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364 |
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365 |
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366 |
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367 |
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368 |
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369 |
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370 |
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|
371 |
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372 |
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373 |
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374 |
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|
375 |
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376 |
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[
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377 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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378 |
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379 |
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380 |
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|
381 |
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382 |
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[
|
383 |
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|
384 |
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385 |
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386 |
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|
387 |
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|
388 |
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[
|
389 |
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390 |
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|
391 |
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392 |
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|
393 |
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394 |
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[
|
395 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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396 |
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|
397 |
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|
398 |
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|
399 |
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],
|
400 |
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[
|
401 |
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|
402 |
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|
403 |
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|
404 |
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|
405 |
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],
|
406 |
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[
|
407 |
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408 |
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|
409 |
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|
410 |
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|
411 |
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412 |
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[
|
413 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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414 |
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415 |
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|
416 |
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|
417 |
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|
418 |
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|
419 |
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420 |
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421 |
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422 |
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|
423 |
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],
|
424 |
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[
|
425 |
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426 |
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|
427 |
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428 |
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|
429 |
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430 |
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|
431 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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432 |
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433 |
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434 |
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|
435 |
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436 |
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|
437 |
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438 |
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439 |
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440 |
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441 |
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442 |
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443 |
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444 |
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445 |
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446 |
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|
447 |
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448 |
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449 |
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452 |
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453 |
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454 |
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455 |
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456 |
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457 |
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458 |
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459 |
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460 |
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461 |
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462 |
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463 |
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464 |
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|
465 |
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466 |
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467 |
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468 |
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470 |
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|
471 |
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472 |
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473 |
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474 |
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475 |
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476 |
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477 |
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478 |
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479 |
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480 |
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481 |
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482 |
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|
483 |
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|
484 |
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[
|
485 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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486 |
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487 |
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488 |
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|
489 |
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490 |
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|
491 |
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492 |
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493 |
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494 |
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|
495 |
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496 |
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[
|
497 |
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498 |
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|
499 |
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500 |
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|
501 |
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],
|
502 |
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[
|
503 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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504 |
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505 |
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506 |
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|
507 |
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508 |
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[
|
509 |
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510 |
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511 |
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512 |
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|
513 |
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],
|
514 |
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[
|
515 |
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516 |
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|
517 |
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null,
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518 |
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|
519 |
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520 |
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[
|
521 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
|
522 |
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523 |
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524 |
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|
525 |
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],
|
526 |
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[
|
527 |
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528 |
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529 |
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|
530 |
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|
531 |
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],
|
532 |
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[
|
533 |
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534 |
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535 |
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536 |
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|
537 |
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538 |
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[
|
539 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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540 |
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541 |
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|
542 |
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|
543 |
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],
|
544 |
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[
|
545 |
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546 |
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548 |
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|
549 |
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],
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550 |
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[
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551 |
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552 |
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553 |
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null,
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554 |
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|
555 |
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|
556 |
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[
|
557 |
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"I am the very model of a modern Major-General, I've information vegetable, animal, and mineral, I know the kings of England, and I quote the fights historical, From Marathon to Waterloo, in order categorical.",
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558 |
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559 |
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language_ids.json
ADDED
@@ -0,0 +1,7 @@
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