Update citation to Wren 2026

README.md

@@ -15,62 +15,6 @@ tags:
 pretty_name: LibriSpeech Mimi Codes
 size_categories:
 - 100K<n<1M
-configs:
-- config_name: default
-  data_files:
-  - split: dev_clean
-    path: data/dev_clean-*
-  - split: dev_other
-    path: data/dev_other-*
-  - split: test_clean
-    path: data/test_clean-*
-  - split: test_other
-    path: data/test_other-*
-  - split: train_clean_100
-    path: data/train_clean_100-*
-  - split: train_clean_360
-    path: data/train_clean_360-*
-  - split: train_other_500
-    path: data/train_other_500-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: speaker_id
-    dtype: int32
-  - name: codes
-    list:
-      list: int16
-  - name: n_frames
-    dtype: int32
-  - name: k_codebooks
-    dtype: int32
-  splits:
-  - name: dev_clean
-    num_bytes: 4381124
-    num_examples: 2703
-  - name: dev_other
-    num_bytes: 4178986
-    num_examples: 2864
-  - name: test_clean
-    num_bytes: 4377566
-    num_examples: 2620
-  - name: test_other
-    num_bytes: 4350511
-    num_examples: 2939
-  - name: train_clean_100
-    num_bytes: 79941329
-    num_examples: 28539
-  - name: train_clean_360
-    num_bytes: 289118508
-    num_examples: 104014
-  - name: train_other_500
-    num_bytes: 394842241
-    num_examples: 148688
-  download_size: 522969998
-  dataset_size: 781190265
 ---
 
 # LibriSpeech — Mimi Codes
@@ -119,8 +63,8 @@ Each standard LibriSpeech split is a separate HF split (hyphens replaced with un
 | `test_clean` | `test-clean` | ~2.6k | test set, clean |
 | `test_other` | `test-other` | ~2.9k | test set, noisier |
 
-Only splits the publisher had on disk are included — consult the "Files" tab for the exact
-subset in this release.
+Splits are added incrementally — consult the "Files" tab or `load_dataset(...).splits` for
+the exact subset currently available.
 
 ## Usage
 
@@ -166,21 +110,22 @@ both the original corpus and this dataset when redistributing.
 ## Citations
 
 ```bibtex
+@misc{wren2026,
+  title  = {Wren: A Family of Small Open-Weight Models for Unified Speech-Text Modelling},
+  author = {Shangeth Rajaa},
+  year   = {2026},
+  url    = {https://github.com/shangeth/wren}
+}
+
 @inproceedings{panayotov2015librispeech,
   title     = {Librispeech: an ASR corpus based on public domain audio books},
   author    = {Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
   booktitle = {ICASSP},
   year      = {2015}
 }
-
-@article{defossez2024moshi,
-  title   = {Moshi: a speech-text foundation model for real-time dialogue},
-  author  = {D{\'e}fossez, Alexandre and others},
-  year    = {2024}
-}
 ```
 
 ## Related
 
 Used to train the [Wren](https://huggingface.co/shangeth/Wren-TTS-360M-v1) series of
-small speech LLMs.
+speech-text multimodal models.