Update README.md

README.md

@@ -1,3 +1,94 @@
 ---
 license: apache-2.0
 ---
+---
+language:
+- zh
+- en
+task_categories:
+- text-to-speech
+- audio-to-audio
+tags:
+- speech
+- prosody
+- controllable-tts
+- alignment
+- word-level
+size_categories:
+- 10M<n<100M
+license: cc-by-nc-4.0
+---
+
+# Dataset Card for WordVoice-5A
+
+## Dataset Description / 数据集简介
+
+**WordVoice-5A** 是一个约 4.7k 小时的大规模中英双语字级声学属性标注数据集，专为高精度、细粒度可控的语音合成（TTS）设计。该数据集解决了当前开源社区缺乏大规模、高质量字级对齐与声学标注数据的问题。通过融合语言学规则与声学特征统计分布的自动化标注 Pipeline，我们提取了五维核心属性（时长、边界、能量、音高、音调）。该数据集旨在打破 LLM-TTS 的“黑盒”特性，推动精细化语音生成与声学建模的未来研究。
+
+**WordVoice-5A** is a large-scale, ~4.7k-hour bilingual (Mandarin and English) dataset with fine-grained word-level acoustic annotations, designed for high-precision, controllable Text-to-Speech (TTS). It addresses the critical scarcity of massive, high-quality word-aligned and acoustically annotated data in the open-source community. Processed through a linguistically-guided automated pipeline based on empirical acoustic distributions, it provides five-dimensional core attributes (Duration, Boundary, Energy, Pitch, and Tone). This dataset aims to break the "black-box" nature of LLM-TTS and facilitate future research in fine-grained speech generation and acoustic modeling.
+
+---
+
+## Dataset Summary / 数据集概述
+
+WordVoice-5A 数据集包含约 4,684 小时的高质量语音数据（中文 2,546 小时，英文 2,138 小时），涵盖超过 5,200 万个字/词级标注。数据源自开源 LEMAS 数据集，经过严格的双模型交叉验证与清洗。数据集专门设计用于：
+
+- **可控语音合成 (Controllable TTS)**：训练支持字级声学属性显式控制的 TTS 模型。
+- **韵律建模 (Prosody Modeling)**：研究中英双语在连续语流中的微观韵律与协同发音规律。
+- **细粒度声学对齐 (Fine-grained Alignment)**：为多模态对齐（如数字人唇形同步）提供高精度的字级时间戳。
+
+The WordVoice-5A dataset contains approximately 4,684 hours of high-quality speech data (2,546 hours of Mandarin, 2,138 hours of English), encompassing over 52 million character/word-level annotations. Derived from the open-source LEMAS dataset and refined through rigorous dual-model cross-validation and cleansing, it is specifically designed for:
+
+- **Controllable TTS**: Training TTS models that support explicit word-level acoustic control.
+- **Prosody Modeling**: Researching micro-prosody and coarticulation patterns in continuous bilingual speech.
+- **Fine-grained Alignment**: Providing high-precision word-level timestamps for cross-modal alignment (e.g., lip-sync for digital avatars).
+
+---
+
+## Key Features / 主要特点
+
+- **五维字级标注 (5-Dimensional Annotations)**：每个字/词均包含精准的时长 (Duration)、5级声学边界 (Boundary)、能量 (Energy)、音高 (Pitch) 与 7类音调 (Tone) 标注。
+- **超大规模双语语料 (Massive Bilingual Corpus)**：包含中文 2546h 与英文 2138h，是目前已知规模最大、标注维度最全的字级控制数据集。
+- **语言学专家指导 (Linguistically-Guided)**：分类标准与阈值（如“掐头去尾”去除协同发音、二次曲线拟合音调）均基于真实数据分布与语言学规则严格论证。
+- **高精度时间戳 (High-Precision Timestamps)**：采用 MFA 与 Qwen3FA 双模型交叉验证，结合基于响度的边界优化，严格剔除不良对齐数据。
+
+*English:*
+- **5-Dimensional Word-Level Annotations**: Every character/word is annotated with precise Duration, 5-level Acoustic Boundary, Energy, Pitch, and 7-category Tone.
+- **Massive Bilingual Corpus**: Comprising 2,546h of Mandarin and 2,138h of English, making it the largest and most comprehensively annotated dataset for word-level control.
+- **Linguistically-Guided**: Classification standards and thresholds (e.g., truncation for coarticulation mitigation, quadratic curve fitting for Tone) are strictly driven by empirical data distributions and linguistic rules.
+- **High-Precision Timestamps**: Utilizes dual-model (MFA & Qwen3FA) cross-validation combined with loudness-based boundary optimization to ensure alignment fidelity.
+
+---
+
+## Data Structure / 数据结构
+
+每条数据样本包含音频文件以及对应的字级多维属性列表。数据格式示例如下：
+Each data instance contains the audio file and a list of word-level multi-dimensional attributes. An example of the data structure is as follows:
+
+```json
+{
+  "audio_id": "zh_00001",
+  "audio_path": "wavs/zh_00001.wav",
+  "text": "你好世界",
+  "word_level_annotations": [
+    {
+      "word": "你",
+      "timestamp": [0.12, 0.35],
+      "duration": 0.23,
+      "boundary": "b1",
+      "energy": 0.75,
+      "pitch": -0.12,
+      "tone": "fall"
+    },
+    {
+      "word": "好",
+      "timestamp": [0.35, 0.60],
+      "duration": 0.25,
+      "boundary": "b3",
+      "energy": 0.82,
+      "pitch": 0.45,
+      "tone": "rise"
+    }
+    // ...
+  ]
+}