backup: snapshot (50 new committed groups (>= 50); 376 groups, 34949 files, 398.27 GB)

README.md

@@ -29,8 +29,8 @@ the good clips.
 |---|---|
 | Model trained on it | [VoiceHub/mytts-en-v1](https://huggingface.co/VoiceHub/mytts-en-v1) |
 | Made from | [SynDataLab-EN/echo-clones-4m-en](https://huggingface.co/datasets/SynDataLab-EN/echo-clones-4m-en) (revision `aebc7c787c64`) |
-| Status | **being processed**: 5,211 of 7,967 source files (65.4 %), updated 2026-10-01 17:53:00 UTC |
-| Size now | 34,449 files, 347.7 GB (about 522.4 GB when complete) |
+| Status | **being processed**: 6,011 of 7,967 source files (75.4 %), updated 2026-10-01 23:41:52 UTC |
+| Size now | 34,949 files, 398.3 GB (about 522.2 GB when complete) |
 | Licence | apache-2.0 (see [Provenance and licence](#provenance-and-licence)) |
 | Code | [kadirnar/dacvae-next](https://github.com/kadirnar/dacvae-next/tree/roadmap/en-echo) (private at the moment) |
 
@@ -67,31 +67,31 @@ see [below](#held-out-and-evaluation-only-parts)).
 
 | | now | when complete |
 |---|---:|---:|
-| Source files (parquet) processed | 5,211 / 7,967 (65.4 %) | 7,967 |
-| Source clips read | 2,605,250 | about 3.98 M |
-| Groups uploaded (16 source files each) | 326 | 498 |
+| Source files (parquet) processed | 6,011 / 7,967 (75.4 %) | 7,967 |
+| Source clips read | 3,005,250 | about 3.98 M |
+| Groups uploaded (16 source files each) | 376 | 498 |
 | Held-out clips kept (236 voices, at most 60 each) | 14,160 | at most 14,160 |
-| Files in this repo | 34,449 | - |
-| Size | 347.7 GB | about 522.4 GB |
+| Files in this repo | 34,949 | - |
+| Size | 398.3 GB | about 522.2 GB |
 
 The data is still being processed ([EN-12](https://github.com/kadirnar/dacvae-next/issues/36)); this page is written again after every 50 new groups.
-Last update: 2026-10-01 17:53:00 UTC (50 new committed groups (>= 50)).
+Last update: 2026-10-01 23:41:52 UTC (50 new committed groups (>= 50)).
 
 ## Layout
 
 | folder | what is inside | used for | files | size |
 |---|---|---|---:|---:|
-| `tts_en/latents/echo_en/` | codec latents of every training clip: `shard-<tag>-NNNNNN.bin` (float16, 25 frames/s x 128 numbers), `.idx.json` (where each clip starts and how long it is), `.meta.parquet` (text, voice, duration, source row of each clip) | training | 978 | 163.7 GB |
-| `tts_en/ssl/echo_en/` | REPA targets of every training clip: w2v-BERT 2.0 layer 16, PCA to 128 numbers, float16, one row per latent frame (`shard-<tag>-t0-NNNNNN.{bin,idx.json}`) | training | 652 | 163.3 GB |
+| `tts_en/latents/echo_en/` | codec latents of every training clip: `shard-<tag>-NNNNNN.bin` (float16, 25 frames/s x 128 numbers), `.idx.json` (where each clip starts and how long it is), `.meta.parquet` (text, voice, duration, source row of each clip) | training | 1,128 | 188.9 GB |
+| `tts_en/ssl/echo_en/` | REPA targets of every training clip: w2v-BERT 2.0 layer 16, PCA to 128 numbers, float16, one row per latent frame (`shard-<tag>-t0-NNNNNN.{bin,idx.json}`) | training | 752 | 188.5 GB |
 | `tts_en/ssl/` | `pca.npz`: the PCA that turns w2v-BERT's 1,024 numbers into 128; `info.json` | training | 2 | 529.8 kB |
-| `tts_en/annotations/asr2/echo_en/` | Parakeet CTC 1.1B transcript of every clip with CER / WER / NLL against its text (`part-<tag>.parquet`) | training (clip filter) | 326 | 299.1 MB |
-| `tts_en/annotations/asr/echo_en/` | Whisper-large-v3-turbo transcript of a 2 % sample: a cross-check of the Parakeet scores | analysis | 326 | 11.4 MB |
-| `tts_en/annotations/edges/echo_en/` | silence at the start and the end of every clip | training (clip edges) | 326 | 128.7 MB |
-| `tts_en/annotations/silence/echo_en/` | longest pause inside every clip, the generation length cap and whether the clip reached it (EchoTTS failure clips) | training (clip filter) | 326 | 69.0 MB |
-| `tts_en/manifests/` | one JSON line per clip: id, text, voice, licence and its source row `hf://datasets/<source>@<revision>/<file>#<row>` (held-out clips: their kept audio file) | provenance | 326 | 988.2 MB |
+| `tts_en/annotations/asr2/echo_en/` | Parakeet CTC 1.1B transcript of every clip with CER / WER / NLL against its text (`part-<tag>.parquet`) | training (clip filter) | 376 | 345.1 MB |
+| `tts_en/annotations/asr/echo_en/` | Whisper-large-v3-turbo transcript of a 2 % sample: a cross-check of the Parakeet scores | analysis | 376 | 12.5 MB |
+| `tts_en/annotations/edges/echo_en/` | silence at the start and the end of every clip | training (clip edges) | 376 | 148.5 MB |
+| `tts_en/annotations/silence/echo_en/` | longest pause inside every clip, the generation length cap and whether the clip reached it (EchoTTS failure clips) | training (clip filter) | 376 | 79.5 MB |
+| `tts_en/manifests/` | one JSON line per clip: id, text, voice, licence and its source row `hf://datasets/<source>@<revision>/<file>#<row>` (held-out clips: their kept audio file) | provenance | 376 | 1.1 GB |
 | `tts_en/catalogs/` | catalogs: the filtered clip lists a run trains on (`<name>/catalog.parquet` + `version.json`, build log, leak check) | training | 8 | 9.8 MB |
 | `tts_en/` | `latent_stats.json` (the frozen latent normalization of the model), `splits.json`, file lists and held-out voice lists | training | 7 | 213.7 kB |
-| `tts_en/ingest/` | the ingest's state (run spec, finished source files) and ledger (one line per group), as of the last upload | bookkeeping | 2 | 1.2 MB |
+| `tts_en/ingest/` | the ingest's state (run spec, finished source files) and ledger (one line per group), as of the last upload | bookkeeping | 2 | 1.4 MB |
 | `tts_en/manifests_local/` | the Tier-1 screening subset's manifest (local raw paths; provenance only) | bookkeeping | 1 | 12.9 MB |
 | `tts_en/latents/echo_en_heldout/` | codec latents of the held-out voices' clips | **held out: evaluation only** | 111 | 946.5 MB |
 | `tts_en/ssl/echo_en_heldout/` | REPA targets of the held-out voices' clips | **held out: evaluation only** | 74 | 944.3 MB |
@@ -129,7 +129,7 @@ Do **not** train on these if you want results that compare with ours:
 
 ### Download
 
-All of it is large (347.7 GB now). One group is enough to try the data:
+All of it is large (398.3 GB now). One group is enough to try the data:
 
 ```python
 from huggingface_hub import snapshot_download

backup/manifest.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:166989eff0d016edeebd4c55a7142e04d0efb023c7e37aae7b54d4abd585dbd7
-size 14983496
+oid sha256:37d5885330d304447a5f7c1fead687d86093d1501e66380ef1f91b5850c39b7e
+size 15218332

backup/status.json

@@ -45,40 +45,40 @@
    "files": 148
   },
   "tts_en/annotations/asr/echo_en/": {
-   "bytes": 11391089,
-   "files": 326
+   "bytes": 12486948,
+   "files": 376
   },
   "tts_en/annotations/asr2/echo_en/": {
-   "bytes": 299087008,
-   "files": 326
+   "bytes": 345114952,
+   "files": 376
   },
   "tts_en/annotations/edges/echo_en/": {
-   "bytes": 128735075,
-   "files": 326
+   "bytes": 148475222,
+   "files": 376
   },
   "tts_en/annotations/silence/echo_en/": {
-   "bytes": 68950668,
-   "files": 326
+   "bytes": 79532665,
+   "files": 376
   },
   "tts_en/catalogs/": {
    "bytes": 9784799,
    "files": 8
   },
   "tts_en/ingest/": {
-   "bytes": 1198698,
+   "bytes": 1381432,
    "files": 2
   },
   "tts_en/latents/echo_en/": {
-   "bytes": 163656890924,
-   "files": 978
+   "bytes": 188872135758,
+   "files": 1128
   },
   "tts_en/latents/echo_en_heldout/": {
    "bytes": 946491003,
    "files": 111
   },
   "tts_en/manifests/": {
-   "bytes": 988174198,
-   "files": 326
+   "bytes": 1139261641,
+   "files": 376
   },
   "tts_en/manifests_local/": {
    "bytes": 12892342,
@@ -89,8 +89,8 @@
    "files": 2
   },
   "tts_en/ssl/echo_en/": {
-   "bytes": 163329175139,
-   "files": 652
+   "bytes": 188494018001,
+   "files": 752
   },
   "tts_en/ssl/echo_en_heldout/": {
    "bytes": 944333793,
@@ -115,8 +115,8 @@
    "files": 30769
   },
   "tts_en": {
-   "bytes": 330402886296,
-   "files": 3613
+   "bytes": 381011690116,
+   "files": 4113
   },
   "tts_en_hubl18": {
    "bytes": 2488799323,
@@ -133,7 +133,7 @@
  },
  "by_tier": {
   "snapshot": {
-   "bytes": 1198698,
+   "bytes": 1381432,
    "files": 2
   },
   "static": {
@@ -141,11 +141,11 @@
    "files": 16694
   },
   "stream": {
-   "bytes": 335904705401,
-   "files": 17753
+   "bytes": 386513326487,
+   "files": 18253
   }
  },
- "bytes": 347659116959,
+ "bytes": 398267920779,
  "catalogs": [
   "en_t1",
   "en_t1_x56"
@@ -159,7 +159,7 @@
   "*/__pycache__/*",
   "eval/en/wavlm_large_finetune.pth"
  ],
- "files": 34449,
+ "files": 34949,
  "groups": [
   "g1790656525369654176-00001",
   "g1790660204553794962-00001",
@@ -486,7 +486,57 @@
   "g1790874140492359034-00267",
   "g1790874568165965099-00268",
   "g1790874991637007906-00269",
-  "g1790875400934150070-00270"
+  "g1790875400934150070-00270",
+  "g1790875805542334764-00271",
+  "g1790876220629372742-00272",
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  ],
  "includes": [],
  "ingests": {
@@ -500,9 +550,9 @@
    "asr2_model": "nvidia/parakeet-ctc-1.1b",
    "codec_id": "Aratako/Semantic-DACVAE-Japanese@737fbad2a679f880",
    "complete": false,
-   "done_files": 5211,
+   "done_files": 6011,
    "group_size": 16,
-   "groups_committed": 326,
+   "groups_committed": 376,
    "held_out_clips": 14160,
    "holdout": {
     "list_sha": "38848d0bea53f777",
@@ -510,14 +560,14 @@
     "n_ids": 236,
     "source": "echo_en_heldout"
    },
-   "ledger_lines": 327,
-   "ledger_sha256": "56cfa73f9909333d0bc9430c936220a55ee022240cdda189a7cbad6cebacb162",
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+   "ledger_sha256": "fb60a3eb4dc2c306125869fd311ab6fd81301481c802b2453ea3fa17ed663625",
    "n_files": 7967,
    "repo": "SynDataLab-EN/echo-clones-4m-en",
    "revision": "aebc7c787c64e918b0130c04d3878f17a602c1df",
    "root": "tts_en",
-   "rows_seen": 2605250,
-   "state_sha256": "6747f19ea0c5b8220255ee1ff5423956f348a687efdb333fd69ed20fc1852bc7",
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    "teachers": [
     {
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@@ -532,16 +582,16 @@
  },
  "partial": false,
  "pass": {
-  "commits": 14,
+  "commits": 15,
   "failures": 0,
   "lost_files": [],
   "n_lost_files": 0,
   "reason": "50 new committed groups (>= 50)",
   "repaired_on_hub": 0,
-  "seconds": 1063.1,
-  "upload_mb_per_s": 51.6,
-  "upload_s": 975.6,
-  "uploaded_bytes": 50301748383,
+  "seconds": 1118.4,
+  "upload_mb_per_s": 49.2,
+  "upload_s": 1027.9,
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@@ -556,5 +606,5 @@
   "tts_en_hubl24_fp32": "/workspace/data/tts_en_hubl24_fp32"
  },
  "symlinks": 9,
- "updated": "2026-10-01T17:53:00Z"
+ "updated": "2026-10-01T23:41:52Z"
 }