Add files using upload-large-folder tool

README.md

@@ -0,0 +1,157 @@
+---
+license: cc-by-nc-4.0
+task_categories:
+  - other
+language:
+  - cy
+tags:
+  - facial-landmarks
+  - ibug68
+  - face-analysis
+  - animation
+  - 4d-dataset
+  - welsh
+  - cymraeg
+  - multimodal
+size_categories:
+  - 100K<n<1M
+pretty_name: CymruFluency Welsh Speech Dataset - Facial Landmarks
+---
+
+# Welsh Speech Dataset - Facial Landmarks
+
+68-point facial landmarks (ibug68 template) from the Welsh Speech Dataset.
+
+## Contents
+
+- **Facial landmarks** for every frame
+- **68 3D points** per frame (x, y, z coordinates)
+- Format: Parquet
+- Manual annotation using ibug68 template
+
+## Format
+
+The `landmarks.parquet` file contains:
+
+| Column | Description |
+|--------|-------------|
+| `speaker_id` | Speaker identifier (1-33) |
+| `phrase_id` | Phrase identifier (1-10) |
+| `frame_id` | Frame identifier (e.g., "001", "002") |
+| `landmarks_json` | JSON string containing landmark data |
+
+### Landmark JSON Structure
+
+```json
+{
+  "landmarks": {
+    "points": [[x1, y1, z1], [x2, y2, z2], ..., [x68, y68, z68]],
+    "connectivity": [[0,1], [1,2], ...],
+  },
+  "labels": [
+    {"label": "chin", "mask": [0,1,2,...,16]},
+    {"label": "leye", "mask": [17,18,...,22]},
+    {"label": "reye", "mask": [23,24,...,28]},
+    ...
+  ],
+  "version": 2
+}
+```
+
+## Semantic Regions
+
+| Region | Points |
+|--------|--------|
+| Chin | 0-16 |
+| Left Eye | 17-22 |
+| Right Eye | 23-28 |
+| Left Eyebrow | 29-33 |
+| Nose | 34-42 |
+| Right Eyebrow | 43-47 |
+| Mouth | 48-67 |
+
+## Joining with Main Metadata
+
+The main metadata (`welsh-speech-dataset`) is **sequence-level** (one row per speaker-phrase). 
+Landmarks are **frame-level** (one row per frame). To get sequence attributes like fluency scores:
+
+```python
+import pandas as pd
+from huggingface_hub import hf_hub_download
+
+# load landmarks (frame-level)
+landmarks_path = hf_hub_download(
+    repo_id="arvinsingh/welsh-speech-landmarks",
+    filename="landmarks.parquet",
+    repo_type="dataset"
+)
+landmarks = pd.read_parquet(landmarks_path)
+
+# load main metadata (sequence-level)
+main_meta_path = hf_hub_download(
+    repo_id="arvinsingh/welsh-speech-dataset",
+    filename="metadata.parquet",
+    repo_type="dataset"
+)
+main_meta = pd.read_parquet(main_meta_path)
+
+# join on speaker_id and phrase_id to get fluency scores, welsh text, etc.
+merged = landmarks.merge(
+    main_meta[['speaker_id', 'phrase_id', 'fluency_score', 'welsh_text', 'english_translation']],
+    on=['speaker_id', 'phrase_id'],
+    how='left'
+)
+
+print(merged.head())
+# Now each frame has: speaker_id, phrase_id, frame_id, landmarks_json, fluency_score, welsh_text, ...
+```
+
+## Basic Usage
+
+```python
+import pandas as pd
+import json
+
+# load
+landmarks = pd.read_parquet("landmarks.parquet")
+
+# get landmarks for specific frame
+frame = landmarks[(landmarks['speaker_id'] == 1) &                   (landmarks['phrase_id'] == 1) &                   (landmarks['frame_id'] == '001')].iloc[0]
+
+# parse JSON
+landmark_data = json.loads(frame['landmarks_json'])
+points = landmark_data['landmarks']['points']  # 68 x 3 array
+
+print(f"Landmark points: {len(points)} points")
+print(f"First point (x,y,z): {points[0]}")
+```
+
+## Related Repositories
+
+- **Main**: [arvinsingh/welsh-speech-dataset](https://huggingface.co/datasets/arvinsingh/welsh-speech-dataset)
+- **Audio**: [arvinsingh/welsh-speech-audio](https://huggingface.co/datasets/arvinsingh/welsh-speech-audio)
+- **3D Meshes**: [arvinsingh/welsh-speech-3d-meshes](https://huggingface.co/datasets/arvinsingh/welsh-speech-3d-meshes)
+
+## Citation
+
+If you use this dataset, please cite both the paper and the dataset:
+
+```bibtex
+@inproceedings{bali_2026_cymrufluency,
+  author       = {Bali, Arvinder Pal Singh and Tam, Gary KL and Siris, Avishek and Andrews, Gareth and Lai, Yukun and Tiddeman, Bernie and Ffrancon, Gwenno},
+  title        = {CymruFluency - A Fusion Technique and a 4D Welsh Dataset for Welsh Fluency Analysis},
+  booktitle    = {Advanced Concepts for Intelligent Vision Systems},
+  pages        = {96--108},
+  year         = 2026,
+  publisher    = {Springer Nature Switzerland},
+  doi          = {10.1007/978-3-032-07343-3_8},
+}
+
+@dataset{bali_2025_dataset,
+  author       = {Bali, Arvinder Pal Singh and Tam, Gary KL and Siris, Avishek and Andrews, Gareth and Lai, Yukun and Tiddeman, Bernie and Ffrancon, Gwenno},
+  title        = {Dataset and code for "CymruFluency"},
+  year         = 2025,
+  publisher    = {Zenodo},
+  doi          = {10.5281/zenodo.15397513},
+}
+```

landmarks.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6e2cb45221ace5a018c893890c3dda40bb63e9a527579df83a16912e6739f74
+size 39293101