Migrate to modern Hugging Face dataset format

- Remove deprecated Python loading script (multimodal-ai-taxonomy.py)
- Remove auto-generated dataset_infos.json
- Add JSONL data files for direct dataset loading
- Update README with new data structure and usage examples
- Add conversion scripts to gitignore

This change enables the dataset to work with current versions of the
datasets library, which no longer support custom loading scripts.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>

.gitignore

@@ -47,3 +47,7 @@ htmlcov/
 
 # Hugging Face
 dataset_infos.json.lock
+
+# Conversion scripts (utilities, not part of distribution)
+convert_to_modern_format.py
+create_splits.py

README.md

@@ -49,8 +49,21 @@ This is a reference taxonomy dataset for:
 
 ## Dataset Structure
 
-The taxonomy is organized as a hierarchical folder structure:
+The dataset is provided as JSONL files (JSON Lines format) for efficient loading:
 
+```
+data/
+├── train.jsonl                          # Complete dataset
+├── taxonomy_video_creation.jsonl        # Video creation modalities
+├── taxonomy_video_editing.jsonl         # Video editing modalities
+├── taxonomy_audio_creation.jsonl        # Audio creation modalities
+├── taxonomy_audio_editing.jsonl         # Audio editing modalities
+├── taxonomy_image_creation.jsonl        # Image creation modalities
+├── taxonomy_image_editing.jsonl         # Image editing modalities
+└── taxonomy_3d-model_creation.jsonl     # 3D creation modalities
+```
+
+Source taxonomy files (used for generation):
 ```
 taxonomy/
 ├── schema.json                          # Common schema definition
@@ -74,68 +87,48 @@ taxonomy/
 
 ### Data Instances
 
-Each modality entry contains:
+Each modality entry in the JSONL files contains flattened fields:
 
 ```json
 {
   "id": "img-to-vid-lipsync-text",
   "name": "Image to Video (Lip Sync from Text)",
-  "input": {
-    "primary": "image",
-    "secondary": ["text"]
-  },
-  "output": {
-    "primary": "video",
-    "audio": true,
-    "audioType": "speech"
-  },
-  "characteristics": {
-    "processType": "synthesis",
-    "audioGeneration": "text-to-speech",
-    "audioPrompting": "text-based",
-    "lipSync": true,
-    "lipSyncMethod": "generated-from-text",
-    "motionType": "facial"
-  },
-  "metadata": {
-    "maturityLevel": "mature",
-    "commonUseCases": [
-      "Avatar creation",
-      "Character animation from portrait",
-      "Marketing personalization"
-    ],
-    "platforms": ["Replicate", "FAL AI", "HeyGen"],
-    "exampleModels": ["Wav2Lip", "SadTalker", "DreamTalk"]
-  }
+  "input_primary": "image",
+  "input_secondary": ["text"],
+  "output_primary": "video",
+  "output_audio": true,
+  "output_audio_type": "speech",
+  "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"text-to-speech\", \"lipSync\": true, \"motionType\": \"facial\"}",
+  "metadata_maturity_level": "mature",
+  "metadata_common_use_cases": ["Avatar creation", "Character animation from portrait"],
+  "metadata_platforms": ["Replicate", "FAL AI", "HeyGen"],
+  "metadata_example_models": ["Wav2Lip", "SadTalker", "DreamTalk"],
+  "relationships": "{}",
+  "output_modality": "video",
+  "operation_type": "creation"
 }
 ```
 
-### Data Fields
+Note: The `characteristics` and `relationships` fields are JSON strings that should be parsed when needed.
 
-**Top-level file fields:**
-- `fileType`: Always "multimodal-ai-taxonomy"
-- `outputModality`: The primary output type (video, audio, image, text, 3d-model)
-- `operationType`: Either "creation" or "editing"
-- `description`: Human-readable description of the file contents
-- `modalities`: Array of modality objects
+### Data Fields
 
-**Modality object fields:**
+**JSONL record fields:**
 - `id` (string): Unique identifier in kebab-case
 - `name` (string): Human-readable name
-- `input` (object):
-  - `primary` (string): Main input modality
-  - `secondary` (array): Additional optional inputs
-- `output` (object):
-  - `primary` (string): Main output modality
-  - `audio` (boolean): Whether audio is included (for video outputs)
-  - `audioType` (string): Type of audio (speech, music, ambient, etc.)
-- `characteristics` (object): Modality-specific features (varies by type)
-- `metadata` (object):
-  - `maturityLevel` (string): experimental, emerging, or mature
-  - `commonUseCases` (array): Typical use cases
-  - `platforms` (array): Platforms supporting this modality
-  - `exampleModels` (array): Example model implementations
-- `relationships` (object, optional): Links to related modalities
+- `input_primary` (string): Main input modality
+- `input_secondary` (list of strings): Additional optional inputs
+- `output_primary` (string): Main output modality
+- `output_audio` (boolean): Whether audio is included (for video outputs)
+- `output_audio_type` (string): Type of audio (speech, music, ambient, etc.)
+- `characteristics` (JSON string): Modality-specific features (parse with json.loads)
+- `metadata_maturity_level` (string): experimental, emerging, or mature
+- `metadata_common_use_cases` (list of strings): Typical use cases
+- `metadata_platforms` (list of strings): Platforms supporting this modality
+- `metadata_example_models` (list of strings): Example model implementations
+- `relationships` (JSON string): Links to related modalities (parse with json.loads)
+- `output_modality` (string): The primary output type (video, audio, image, text, 3d-model)
+- `operation_type` (string): Either "creation" or "editing"
 
 ### Data Splits
 
@@ -228,28 +221,32 @@ For detailed contribution guidelines, see `taxonomy/README.md`.
 
 ```python
 from datasets import load_dataset
+import json
 
 # Load the entire taxonomy
-dataset = load_dataset("YOUR_USERNAME/multimodal-ai-taxonomy")
+dataset = load_dataset("danielrosehill/multimodal-ai-taxonomy", split="train")
 
-# Access specific modality files
-video_creation = dataset["video_generation_creation"]
-audio_editing = dataset["audio_generation_editing"]
+# The dataset is now a flat structure - iterate through records
+for record in dataset:
+    print(f"{record['name']}: {record['output_modality']} {record['operation_type']}")
 ```
 
 ### Filtering by Characteristics
 
 ```python
 import json
+from datasets import load_dataset
 
-# Find all video generation modalities with lip sync
-with open("taxonomy/video-generation/creation/modalities.json") as f:
-    data = json.load(f)
+# Load dataset
+dataset = load_dataset("danielrosehill/multimodal-ai-taxonomy", split="train")
 
-lipsync_modalities = [
-    m for m in data["modalities"]
-    if m.get("characteristics", {}).get("lipSync") == True
-]
+# Find all video generation modalities with lip sync
+lipsync_modalities = []
+for record in dataset:
+    if record['output_modality'] == 'video' and record['operation_type'] == 'creation':
+        characteristics = json.loads(record['characteristics'])
+        if characteristics.get('lipSync'):
+            lipsync_modalities.append(record)
 
 for modality in lipsync_modalities:
     print(f"{modality['name']}: {modality['id']}")
@@ -258,14 +255,23 @@ for modality in lipsync_modalities:
 ### Finding Models by Use Case
 
 ```python
-# Find mature image generation methods
-with open("taxonomy/image-generation/creation/modalities.json") as f:
-    data = json.load(f)
+from datasets import load_dataset
 
-mature_methods = [
-    m for m in data["modalities"]
-    if m["metadata"]["maturityLevel"] == "mature"
+# Load dataset
+dataset = load_dataset("danielrosehill/multimodal-ai-taxonomy", split="train")
+
+# Find mature image generation methods
+mature_image_gen = [
+    record for record in dataset
+    if record['output_modality'] == 'image'
+    and record['operation_type'] == 'creation'
+    and record['metadata_maturity_level'] == 'mature'
 ]
+
+for method in mature_image_gen:
+    print(f"{method['name']}")
+    print(f"  Platforms: {', '.join(method['metadata_platforms'])}")
+    print(f"  Models: {', '.join(method['metadata_example_models'])}")
 ```
 
 ## Contact

data/taxonomy_3d-model_creation.jsonl

@@ -0,0 +1,2 @@
+{"id": "text-to-3d", "name": "Text to 3D Model", "input_primary": "text", "input_secondary": [], "output_primary": "3d-model", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"generationType\": \"3d-synthesis\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["3D asset generation", "Rapid prototyping", "Game asset creation"], "metadata_platforms": ["Replicate", "Meshy", "3DFY"], "metadata_example_models": ["Point-E", "Shap-E", "DreamFusion"], "relationships": "{}", "output_modality": "3d-model", "operation_type": "creation"}
+{"id": "img-to-3d", "name": "Image to 3D Model", "input_primary": "image", "input_secondary": [], "output_primary": "3d-model", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"generationType\": \"3d-reconstruction\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["3D reconstruction", "Object digitization", "Asset creation from photos"], "metadata_platforms": ["Replicate", "Meshy", "Luma AI"], "metadata_example_models": ["Zero-1-to-3", "Wonder3D"], "relationships": "{}", "output_modality": "3d-model", "operation_type": "creation"}

data/taxonomy_audio_creation.jsonl

@@ -0,0 +1,3 @@
+{"id": "text-to-audio", "name": "Text to Audio", "input_primary": "text", "input_secondary": [], "output_primary": "audio", "output_audio": false, "output_audio_type": "general", "characteristics": "{\"processType\": \"synthesis\", \"audioType\": \"general\", \"audioCategories\": [\"speech\", \"sound-effects\", \"music\", \"ambient\"]}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Sound effect generation", "Voiceover creation", "Audio asset production"], "metadata_platforms": ["Replicate", "ElevenLabs", "AudioCraft"], "metadata_example_models": ["AudioGen", "MusicGen"], "relationships": "{}", "output_modality": "audio", "operation_type": "creation"}
+{"id": "text-to-speech", "name": "Text to Speech", "input_primary": "text", "input_secondary": [], "output_primary": "audio", "output_audio": false, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioType\": \"speech\", \"voiceCloning\": false}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Narration", "Accessibility", "Voice assistants"], "metadata_platforms": ["ElevenLabs", "Google Cloud", "Azure", "AWS"], "metadata_example_models": ["ElevenLabs", "Google WaveNet", "Azure Neural TTS"], "relationships": "{}", "output_modality": "audio", "operation_type": "creation"}
+{"id": "text-to-music", "name": "Text to Music", "input_primary": "text", "input_secondary": [], "output_primary": "audio", "output_audio": false, "output_audio_type": "music", "characteristics": "{\"processType\": \"synthesis\", \"audioType\": \"music\", \"melodic\": true}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Background music generation", "Musical composition", "Soundtrack creation"], "metadata_platforms": ["Replicate", "Stability AI"], "metadata_example_models": ["MusicGen", "Stable Audio"], "relationships": "{}", "output_modality": "audio", "operation_type": "creation"}

data/taxonomy_audio_editing.jsonl

@@ -0,0 +1,2 @@
+{"id": "audio-to-audio-inpainting", "name": "Audio to Audio (Inpainting)", "input_primary": "audio", "input_secondary": ["text"], "output_primary": "audio", "output_audio": false, "output_audio_type": "general", "characteristics": "{\"processType\": \"inpainting\", \"modification\": \"selective-editing\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Audio editing", "Sound design", "Audio restoration"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "audio", "operation_type": "editing"}
+{"id": "music-to-music-inpainting", "name": "Music to Music (Inpainting)", "input_primary": "audio", "input_secondary": ["text"], "output_primary": "audio", "output_audio": false, "output_audio_type": "music", "characteristics": "{\"processType\": \"inpainting\", \"modification\": \"selective-editing\", \"melodic\": true, \"audioSubtype\": \"music\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Music editing", "Compositional modifications", "Arrangement changes"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{\"parent\": \"audio-to-audio-inpainting\", \"note\": \"Music inpainting is a specialized subset of audio inpainting\"}", "output_modality": "audio", "operation_type": "editing"}

data/taxonomy_image_creation.jsonl

@@ -0,0 +1 @@
+{"id": "text-to-img", "name": "Text to Image", "input_primary": "text", "input_secondary": [], "output_primary": "image", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"generationType\": \"synthesis\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Concept art generation", "Product mockups", "Marketing assets"], "metadata_platforms": ["Replicate", "Stability AI", "Midjourney", "DALL-E"], "metadata_example_models": ["Stable Diffusion", "DALL-E 3", "Midjourney"], "relationships": "{}", "output_modality": "image", "operation_type": "creation"}

data/taxonomy_image_editing.jsonl

@@ -0,0 +1 @@
+{"id": "img-to-img", "name": "Image to Image", "input_primary": "image", "input_secondary": ["text"], "output_primary": "image", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"transformation\", \"transformationTypes\": [\"style-transfer\", \"enhancement\", \"editing\", \"inpainting\"]}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Image editing", "Style transfer", "Image enhancement", "Object removal/addition"], "metadata_platforms": ["Replicate", "Stability AI", "Midjourney"], "metadata_example_models": ["Stable Diffusion img2img", "ControlNet"], "relationships": "{}", "output_modality": "image", "operation_type": "editing"}

data/taxonomy_video_creation.jsonl

@@ -0,0 +1,11 @@
+{"id": "img-to-vid-no-audio", "name": "Image to Video (No Audio)", "input_primary": "image", "input_secondary": [], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"none\", \"lipSync\": false, \"motionType\": \"general\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Static image animation", "Product visualization", "Concept previsualization"], "metadata_platforms": ["Replicate", "FAL AI", "Stability AI"], "metadata_example_models": ["Stable Video Diffusion", "AnimateDiff"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-ambient-audio", "name": "Image to Video (Ambient Audio)", "input_primary": "image", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "ambient", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"synthesized\", \"audioPrompting\": \"text-based\", \"lipSync\": false, \"motionType\": \"general\", \"audioCharacteristics\": [\"background\", \"environmental\", \"atmospheric\"]}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Scene ambiance creation", "Marketplace atmosphere", "Environmental storytelling"], "metadata_platforms": ["FAL AI", "Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-lipsync-text", "name": "Image to Video (Lip Sync from Text)", "input_primary": "image", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"text-to-speech\", \"audioPrompting\": \"text-based\", \"lipSync\": true, \"lipSyncMethod\": \"generated-from-text\", \"motionType\": \"facial\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Avatar creation", "Character animation from portrait", "Marketing personalization"], "metadata_platforms": ["Replicate", "FAL AI", "HeyGen"], "metadata_example_models": ["Wav2Lip", "SadTalker", "DreamTalk"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-lipsync-audio", "name": "Image to Video (Lip Sync from Audio)", "input_primary": "image", "input_secondary": ["audio"], "output_primary": "video", "output_audio": true, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"reference-based\", \"audioPrompting\": \"audio-reference\", \"lipSync\": true, \"lipSyncMethod\": \"audio-driven\", \"motionType\": \"facial\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Voice cloning with video", "Dubbing and localization", "Podcast video generation"], "metadata_platforms": ["Replicate", "FAL AI"], "metadata_example_models": ["Wav2Lip", "SadTalker"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-lipsync-lora", "name": "Image to Video (Lip Sync with LoRA Character)", "input_primary": "image", "input_secondary": ["text", "lora-model"], "output_primary": "video", "output_audio": true, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"text-to-speech\", \"audioPrompting\": \"text-based\", \"lipSync\": true, \"lipSyncMethod\": \"generated-from-text\", \"characterReference\": \"lora\", \"motionType\": \"facial\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Consistent character animation", "Brand mascot videos", "Personalized avatars"], "metadata_platforms": ["Specialized services"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "text-to-vid-no-audio", "name": "Text to Video (No Audio)", "input_primary": "text", "input_secondary": [], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"none\", \"motionType\": \"general\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Concept visualization", "Storyboarding", "Creative exploration"], "metadata_platforms": ["Replicate", "FAL AI", "RunwayML"], "metadata_example_models": ["ModelScope", "ZeroScope"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "text-to-vid-with-audio", "name": "Text to Video (With Audio)", "input_primary": "text", "input_secondary": [], "output_primary": "video", "output_audio": true, "output_audio_type": "synchronized", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"synthesized\", \"audioPrompting\": \"text-based\", \"audioVideoSync\": true, \"motionType\": \"general\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Complete scene generation", "Multimedia storytelling"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "audio-to-vid", "name": "Audio to Video", "input_primary": "audio", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "original", "characteristics": "{\"processType\": \"synthesis\", \"audioVisualization\": true, \"motionType\": \"audio-reactive\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Music visualization", "Audio-reactive art", "Podcast video generation"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "multimodal-img-audio-to-vid", "name": "Image + Audio to Video", "input_primary": "image", "input_secondary": ["audio"], "output_primary": "video", "output_audio": true, "output_audio_type": "original", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"reference-based\", \"motionType\": \"audio-driven\", \"lipSync\": false}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Audio-driven animation", "Dance video generation", "Music-driven motion"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "multimodal-text-img-to-vid", "name": "Text + Image to Video", "input_primary": "text", "input_secondary": ["image"], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"guidanceType\": \"text-and-visual\", \"motionType\": \"guided\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Guided video generation", "Controlled animation", "Reference-based video creation"], "metadata_platforms": ["Replicate", "FAL AI"], "metadata_example_models": ["AnimateDiff with ControlNet"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "3d-to-vid", "name": "3D Model to Video", "input_primary": "3d-model", "input_secondary": [], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"rendering\", \"renderType\": \"3d-rendering\", \"motionType\": \"camera-path\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["3D visualization", "Product rendering", "Architectural visualization"], "metadata_platforms": ["Blender", "Unreal Engine", "Unity"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}

data/taxonomy_video_editing.jsonl

@@ -0,0 +1,2 @@
+{"id": "vid-to-vid-no-audio", "name": "Video to Video (No Audio)", "input_primary": "video", "input_secondary": ["text"], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"transformation\", \"transformationTypes\": [\"style-transfer\", \"motion-modification\", \"object-editing\"], \"preserveAudio\": false}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Video style transfer", "Video editing", "Motion manipulation"], "metadata_platforms": ["Replicate", "RunwayML"], "metadata_example_models": ["Gen-2", "Video ControlNet"], "relationships": "{}", "output_modality": "video", "operation_type": "editing"}
+{"id": "vid-to-vid-preserve-audio", "name": "Video to Video (Preserve Audio)", "input_primary": "video", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "original", "characteristics": "{\"processType\": \"transformation\", \"transformationTypes\": [\"style-transfer\", \"motion-modification\", \"object-editing\"], \"preserveAudio\": true, \"audioHandling\": \"passthrough\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Video style transfer with audio", "Content transformation maintaining soundtrack"], "metadata_platforms": ["Replicate", "RunwayML"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "editing"}

data/train.jsonl

@@ -0,0 +1,22 @@
+{"id": "img-to-vid-no-audio", "name": "Image to Video (No Audio)", "input_primary": "image", "input_secondary": [], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"none\", \"lipSync\": false, \"motionType\": \"general\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Static image animation", "Product visualization", "Concept previsualization"], "metadata_platforms": ["Replicate", "FAL AI", "Stability AI"], "metadata_example_models": ["Stable Video Diffusion", "AnimateDiff"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-ambient-audio", "name": "Image to Video (Ambient Audio)", "input_primary": "image", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "ambient", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"synthesized\", \"audioPrompting\": \"text-based\", \"lipSync\": false, \"motionType\": \"general\", \"audioCharacteristics\": [\"background\", \"environmental\", \"atmospheric\"]}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Scene ambiance creation", "Marketplace atmosphere", "Environmental storytelling"], "metadata_platforms": ["FAL AI", "Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-lipsync-text", "name": "Image to Video (Lip Sync from Text)", "input_primary": "image", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"text-to-speech\", \"audioPrompting\": \"text-based\", \"lipSync\": true, \"lipSyncMethod\": \"generated-from-text\", \"motionType\": \"facial\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Avatar creation", "Character animation from portrait", "Marketing personalization"], "metadata_platforms": ["Replicate", "FAL AI", "HeyGen"], "metadata_example_models": ["Wav2Lip", "SadTalker", "DreamTalk"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-lipsync-audio", "name": "Image to Video (Lip Sync from Audio)", "input_primary": "image", "input_secondary": ["audio"], "output_primary": "video", "output_audio": true, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"reference-based\", \"audioPrompting\": \"audio-reference\", \"lipSync\": true, \"lipSyncMethod\": \"audio-driven\", \"motionType\": \"facial\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Voice cloning with video", "Dubbing and localization", "Podcast video generation"], "metadata_platforms": ["Replicate", "FAL AI"], "metadata_example_models": ["Wav2Lip", "SadTalker"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "img-to-vid-lipsync-lora", "name": "Image to Video (Lip Sync with LoRA Character)", "input_primary": "image", "input_secondary": ["text", "lora-model"], "output_primary": "video", "output_audio": true, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"text-to-speech\", \"audioPrompting\": \"text-based\", \"lipSync\": true, \"lipSyncMethod\": \"generated-from-text\", \"characterReference\": \"lora\", \"motionType\": \"facial\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Consistent character animation", "Brand mascot videos", "Personalized avatars"], "metadata_platforms": ["Specialized services"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "text-to-vid-no-audio", "name": "Text to Video (No Audio)", "input_primary": "text", "input_secondary": [], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"none\", \"motionType\": \"general\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Concept visualization", "Storyboarding", "Creative exploration"], "metadata_platforms": ["Replicate", "FAL AI", "RunwayML"], "metadata_example_models": ["ModelScope", "ZeroScope"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "text-to-vid-with-audio", "name": "Text to Video (With Audio)", "input_primary": "text", "input_secondary": [], "output_primary": "video", "output_audio": true, "output_audio_type": "synchronized", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"synthesized\", \"audioPrompting\": \"text-based\", \"audioVideoSync\": true, \"motionType\": \"general\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Complete scene generation", "Multimedia storytelling"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "audio-to-vid", "name": "Audio to Video", "input_primary": "audio", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "original", "characteristics": "{\"processType\": \"synthesis\", \"audioVisualization\": true, \"motionType\": \"audio-reactive\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Music visualization", "Audio-reactive art", "Podcast video generation"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "multimodal-img-audio-to-vid", "name": "Image + Audio to Video", "input_primary": "image", "input_secondary": ["audio"], "output_primary": "video", "output_audio": true, "output_audio_type": "original", "characteristics": "{\"processType\": \"synthesis\", \"audioGeneration\": \"reference-based\", \"motionType\": \"audio-driven\", \"lipSync\": false}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Audio-driven animation", "Dance video generation", "Music-driven motion"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "multimodal-text-img-to-vid", "name": "Text + Image to Video", "input_primary": "text", "input_secondary": ["image"], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"guidanceType\": \"text-and-visual\", \"motionType\": \"guided\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Guided video generation", "Controlled animation", "Reference-based video creation"], "metadata_platforms": ["Replicate", "FAL AI"], "metadata_example_models": ["AnimateDiff with ControlNet"], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "3d-to-vid", "name": "3D Model to Video", "input_primary": "3d-model", "input_secondary": [], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"rendering\", \"renderType\": \"3d-rendering\", \"motionType\": \"camera-path\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["3D visualization", "Product rendering", "Architectural visualization"], "metadata_platforms": ["Blender", "Unreal Engine", "Unity"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "creation"}
+{"id": "vid-to-vid-no-audio", "name": "Video to Video (No Audio)", "input_primary": "video", "input_secondary": ["text"], "output_primary": "video", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"transformation\", \"transformationTypes\": [\"style-transfer\", \"motion-modification\", \"object-editing\"], \"preserveAudio\": false}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Video style transfer", "Video editing", "Motion manipulation"], "metadata_platforms": ["Replicate", "RunwayML"], "metadata_example_models": ["Gen-2", "Video ControlNet"], "relationships": "{}", "output_modality": "video", "operation_type": "editing"}
+{"id": "vid-to-vid-preserve-audio", "name": "Video to Video (Preserve Audio)", "input_primary": "video", "input_secondary": ["text"], "output_primary": "video", "output_audio": true, "output_audio_type": "original", "characteristics": "{\"processType\": \"transformation\", \"transformationTypes\": [\"style-transfer\", \"motion-modification\", \"object-editing\"], \"preserveAudio\": true, \"audioHandling\": \"passthrough\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Video style transfer with audio", "Content transformation maintaining soundtrack"], "metadata_platforms": ["Replicate", "RunwayML"], "metadata_example_models": [], "relationships": "{}", "output_modality": "video", "operation_type": "editing"}
+{"id": "text-to-audio", "name": "Text to Audio", "input_primary": "text", "input_secondary": [], "output_primary": "audio", "output_audio": false, "output_audio_type": "general", "characteristics": "{\"processType\": \"synthesis\", \"audioType\": \"general\", \"audioCategories\": [\"speech\", \"sound-effects\", \"music\", \"ambient\"]}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Sound effect generation", "Voiceover creation", "Audio asset production"], "metadata_platforms": ["Replicate", "ElevenLabs", "AudioCraft"], "metadata_example_models": ["AudioGen", "MusicGen"], "relationships": "{}", "output_modality": "audio", "operation_type": "creation"}
+{"id": "text-to-speech", "name": "Text to Speech", "input_primary": "text", "input_secondary": [], "output_primary": "audio", "output_audio": false, "output_audio_type": "speech", "characteristics": "{\"processType\": \"synthesis\", \"audioType\": \"speech\", \"voiceCloning\": false}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Narration", "Accessibility", "Voice assistants"], "metadata_platforms": ["ElevenLabs", "Google Cloud", "Azure", "AWS"], "metadata_example_models": ["ElevenLabs", "Google WaveNet", "Azure Neural TTS"], "relationships": "{}", "output_modality": "audio", "operation_type": "creation"}
+{"id": "text-to-music", "name": "Text to Music", "input_primary": "text", "input_secondary": [], "output_primary": "audio", "output_audio": false, "output_audio_type": "music", "characteristics": "{\"processType\": \"synthesis\", \"audioType\": \"music\", \"melodic\": true}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Background music generation", "Musical composition", "Soundtrack creation"], "metadata_platforms": ["Replicate", "Stability AI"], "metadata_example_models": ["MusicGen", "Stable Audio"], "relationships": "{}", "output_modality": "audio", "operation_type": "creation"}
+{"id": "audio-to-audio-inpainting", "name": "Audio to Audio (Inpainting)", "input_primary": "audio", "input_secondary": ["text"], "output_primary": "audio", "output_audio": false, "output_audio_type": "general", "characteristics": "{\"processType\": \"inpainting\", \"modification\": \"selective-editing\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["Audio editing", "Sound design", "Audio restoration"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{}", "output_modality": "audio", "operation_type": "editing"}
+{"id": "music-to-music-inpainting", "name": "Music to Music (Inpainting)", "input_primary": "audio", "input_secondary": ["text"], "output_primary": "audio", "output_audio": false, "output_audio_type": "music", "characteristics": "{\"processType\": \"inpainting\", \"modification\": \"selective-editing\", \"melodic\": true, \"audioSubtype\": \"music\"}", "metadata_maturity_level": "experimental", "metadata_common_use_cases": ["Music editing", "Compositional modifications", "Arrangement changes"], "metadata_platforms": ["Experimental"], "metadata_example_models": [], "relationships": "{\"parent\": \"audio-to-audio-inpainting\", \"note\": \"Music inpainting is a specialized subset of audio inpainting\"}", "output_modality": "audio", "operation_type": "editing"}
+{"id": "text-to-img", "name": "Text to Image", "input_primary": "text", "input_secondary": [], "output_primary": "image", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"generationType\": \"synthesis\"}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Concept art generation", "Product mockups", "Marketing assets"], "metadata_platforms": ["Replicate", "Stability AI", "Midjourney", "DALL-E"], "metadata_example_models": ["Stable Diffusion", "DALL-E 3", "Midjourney"], "relationships": "{}", "output_modality": "image", "operation_type": "creation"}
+{"id": "img-to-img", "name": "Image to Image", "input_primary": "image", "input_secondary": ["text"], "output_primary": "image", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"transformation\", \"transformationTypes\": [\"style-transfer\", \"enhancement\", \"editing\", \"inpainting\"]}", "metadata_maturity_level": "mature", "metadata_common_use_cases": ["Image editing", "Style transfer", "Image enhancement", "Object removal/addition"], "metadata_platforms": ["Replicate", "Stability AI", "Midjourney"], "metadata_example_models": ["Stable Diffusion img2img", "ControlNet"], "relationships": "{}", "output_modality": "image", "operation_type": "editing"}
+{"id": "text-to-3d", "name": "Text to 3D Model", "input_primary": "text", "input_secondary": [], "output_primary": "3d-model", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"generationType\": \"3d-synthesis\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["3D asset generation", "Rapid prototyping", "Game asset creation"], "metadata_platforms": ["Replicate", "Meshy", "3DFY"], "metadata_example_models": ["Point-E", "Shap-E", "DreamFusion"], "relationships": "{}", "output_modality": "3d-model", "operation_type": "creation"}
+{"id": "img-to-3d", "name": "Image to 3D Model", "input_primary": "image", "input_secondary": [], "output_primary": "3d-model", "output_audio": false, "output_audio_type": "", "characteristics": "{\"processType\": \"synthesis\", \"generationType\": \"3d-reconstruction\"}", "metadata_maturity_level": "emerging", "metadata_common_use_cases": ["3D reconstruction", "Object digitization", "Asset creation from photos"], "metadata_platforms": ["Replicate", "Meshy", "Luma AI"], "metadata_example_models": ["Zero-1-to-3", "Wonder3D"], "relationships": "{}", "output_modality": "3d-model", "operation_type": "creation"}

dataset_infos.json

@@ -1,96 +0,0 @@
-{
-  "all": {
-    "description": "Complete taxonomy with all modalities across all output types and operations.",
-    "citation": "@dataset{multimodal_ai_taxonomy,\n  title={Multimodal AI Taxonomy},\n  author={Community Contributors},\n  year={2025},\n  publisher={Hugging Face},\n}",
-    "homepage": "https://huggingface.co/datasets/YOUR_USERNAME/multimodal-ai-taxonomy",
-    "license": "cc0-1.0",
-    "features": {
-      "id": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "name": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "input_primary": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "input_secondary": {
-        "feature": {
-          "dtype": "string",
-          "_type": "Value"
-        },
-        "_type": "Sequence"
-      },
-      "output_primary": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "output_audio": {
-        "dtype": "bool",
-        "_type": "Value"
-      },
-      "output_audio_type": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "characteristics": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "metadata_maturity_level": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "metadata_common_use_cases": {
-        "feature": {
-          "dtype": "string",
-          "_type": "Value"
-        },
-        "_type": "Sequence"
-      },
-      "metadata_platforms": {
-        "feature": {
-          "dtype": "string",
-          "_type": "Value"
-        },
-        "_type": "Sequence"
-      },
-      "metadata_example_models": {
-        "feature": {
-          "dtype": "string",
-          "_type": "Value"
-        },
-        "_type": "Sequence"
-      },
-      "relationships": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "file_output_modality": {
-        "dtype": "string",
-        "_type": "Value"
-      },
-      "file_operation_type": {
-        "dtype": "string",
-        "_type": "Value"
-      }
-    },
-    "supervised_keys": null,
-    "builder_name": "multimodal_ai_taxonomy",
-    "config_name": "all",
-    "version": "1.0.0",
-    "splits": {
-      "train": {
-        "name": "train",
-        "num_bytes": 0,
-        "num_examples": 0,
-        "dataset_name": "multimodal_ai_taxonomy"
-      }
-    },
-    "download_size": 0,
-    "dataset_size": 0
-  }
-}

multimodal-ai-taxonomy.py

@@ -1,217 +0,0 @@
-"""Multimodal AI Taxonomy dataset loading script."""
-
-import json
-import os
-from pathlib import Path
-from typing import Dict, List
-
-import datasets
-
-
-_CITATION = """\
-@dataset{multimodal_ai_taxonomy,
-  title={Multimodal AI Taxonomy},
-  author={Community Contributors},
-  year={2025},
-  publisher={Hugging Face},
-}
-"""
-
-_DESCRIPTION = """\
-A comprehensive, structured taxonomy for mapping multimodal AI model capabilities across input and output modalities.
-This dataset provides a systematic categorization of multimodal AI capabilities, enabling users to navigate the complex
-landscape of multimodal AI models, filter by specific input/output modality combinations, and discover models that match
-specific use case requirements.
-"""
-
-_HOMEPAGE = "https://huggingface.co/datasets/YOUR_USERNAME/multimodal-ai-taxonomy"
-
-_LICENSE = "cc0-1.0"
-
-_URLS = {
-    "schema": "taxonomy/schema.json",
-    "video_generation_creation": "taxonomy/video-generation/creation/modalities.json",
-    "video_generation_editing": "taxonomy/video-generation/editing/modalities.json",
-    "audio_generation_creation": "taxonomy/audio-generation/creation/modalities.json",
-    "audio_generation_editing": "taxonomy/audio-generation/editing/modalities.json",
-    "image_generation_creation": "taxonomy/image-generation/creation/modalities.json",
-    "image_generation_editing": "taxonomy/image-generation/editing/modalities.json",
-    "text_generation_creation": "taxonomy/text-generation/creation/modalities.json",
-    "text_generation_editing": "taxonomy/text-generation/editing/modalities.json",
-    "3d_generation_creation": "taxonomy/3d-generation/creation/modalities.json",
-    "3d_generation_editing": "taxonomy/3d-generation/editing/modalities.json",
-}
-
-
-class MultimodalAITaxonomy(datasets.GeneratorBasedBuilder):
-    """Multimodal AI Taxonomy dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="all",
-            version=VERSION,
-            description="Complete taxonomy with all modalities",
-        ),
-        datasets.BuilderConfig(
-            name="video_generation_creation",
-            version=VERSION,
-            description="Video generation (creation) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="video_generation_editing",
-            version=VERSION,
-            description="Video generation (editing) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="audio_generation_creation",
-            version=VERSION,
-            description="Audio generation (creation) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="audio_generation_editing",
-            version=VERSION,
-            description="Audio generation (editing) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="image_generation_creation",
-            version=VERSION,
-            description="Image generation (creation) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="image_generation_editing",
-            version=VERSION,
-            description="Image generation (editing) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="text_generation_creation",
-            version=VERSION,
-            description="Text generation (creation) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="text_generation_editing",
-            version=VERSION,
-            description="Text generation (editing) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="3d_generation_creation",
-            version=VERSION,
-            description="3D generation (creation) modalities",
-        ),
-        datasets.BuilderConfig(
-            name="3d_generation_editing",
-            version=VERSION,
-            description="3D generation (editing) modalities",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "all"
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string"),
-                "name": datasets.Value("string"),
-                "input_primary": datasets.Value("string"),
-                "input_secondary": datasets.Sequence(datasets.Value("string")),
-                "output_primary": datasets.Value("string"),
-                "output_audio": datasets.Value("bool"),
-                "output_audio_type": datasets.Value("string"),
-                "characteristics": datasets.Value("string"),  # JSON string for flexibility
-                "metadata_maturity_level": datasets.Value("string"),
-                "metadata_common_use_cases": datasets.Sequence(datasets.Value("string")),
-                "metadata_platforms": datasets.Sequence(datasets.Value("string")),
-                "metadata_example_models": datasets.Sequence(datasets.Value("string")),
-                "relationships": datasets.Value("string"),  # JSON string for flexibility
-                "file_output_modality": datasets.Value("string"),
-                "file_operation_type": datasets.Value("string"),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        # Download/locate all files
-        if self.config.name == "all":
-            # Load all modality files
-            config_names = [k for k in _URLS.keys() if k != "schema"]
-        else:
-            # Load only the specified config
-            config_names = [self.config.name]
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "config_names": config_names,
-                    "dl_manager": dl_manager,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, config_names, dl_manager):
-        """Yields examples from the taxonomy."""
-
-        idx = 0
-        for config_name in config_names:
-            filepath = _URLS[config_name]
-
-            # Read the JSON file
-            with open(dl_manager.download(filepath), encoding="utf-8") as f:
-                data = json.load(f)
-
-            output_modality = data.get("outputModality", "")
-            operation_type = data.get("operationType", "")
-
-            # Process each modality in the file
-            for modality in data.get("modalities", []):
-                # Extract input information
-                input_data = modality.get("input", {})
-                input_primary = input_data.get("primary", "")
-                input_secondary = input_data.get("secondary", [])
-
-                # Extract output information
-                output_data = modality.get("output", {})
-                output_primary = output_data.get("primary", "")
-                output_audio = output_data.get("audio", False)
-                output_audio_type = output_data.get("audioType", "")
-
-                # Extract metadata
-                metadata = modality.get("metadata", {})
-                maturity_level = metadata.get("maturityLevel", "")
-                common_use_cases = metadata.get("commonUseCases", [])
-                platforms = metadata.get("platforms", [])
-                example_models = metadata.get("exampleModels", [])
-
-                # Keep characteristics and relationships as JSON strings for flexibility
-                characteristics = json.dumps(modality.get("characteristics", {}))
-                relationships = json.dumps(modality.get("relationships", {}))
-
-                yield idx, {
-                    "id": modality.get("id", ""),
-                    "name": modality.get("name", ""),
-                    "input_primary": input_primary,
-                    "input_secondary": input_secondary,
-                    "output_primary": output_primary,
-                    "output_audio": output_audio,
-                    "output_audio_type": output_audio_type,
-                    "characteristics": characteristics,
-                    "metadata_maturity_level": maturity_level,
-                    "metadata_common_use_cases": common_use_cases,
-                    "metadata_platforms": platforms,
-                    "metadata_example_models": example_models,
-                    "relationships": relationships,
-                    "file_output_modality": output_modality,
-                    "file_operation_type": operation_type,
-                }
-
-                idx += 1