Add dataset card

README.md

@@ -1,45 +1,303 @@
 ---
-dataset_info:
-  features:
-  - name: keyword
-    dtype: string
-  - name: wikidata_id
-    dtype: string
-  - name: label_en
-    dtype: string
-  - name: label_es
-    dtype: string
-  - name: label_ca
-    dtype: string
-  - name: label_it
-    dtype: string
-  - name: description_en
-    dtype: string
-  - name: description_es
-    dtype: string
-  - name: description_ca
-    dtype: string
-  - name: aliases_en
-    dtype: string
-  - name: aliases_es
-    dtype: string
-  - name: aliases_ca
-    dtype: string
-  - name: instance_of
-    dtype: string
-  - name: subclass_of
-    dtype: string
-  - name: full_json
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 5612669
-    num_examples: 4265
-  download_size: 2351536
-  dataset_size: 5612669
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: apache-2.0
+language:
+  - ca
+  - es
+  - en
+  - it
+task_categories:
+  - feature-extraction
+  - text-generation
+tags:
+  - knowledge-base
+  - wikidata
+  - multilingual
+  - R&D
+  - query-expansion
+  - semantic-search
+  - catalan
+  - spanish
+  - italian
+  - AINA
+size_categories:
+  - 1K<n<10K
 ---
+
+# IMPULS R&D Knowledge Base
+
+A multilingual knowledge base of 4,265 R&D concepts derived from Wikidata, designed for query expansion in scientific and research project search systems.
+
+## Dataset Description
+
+This knowledge base was created as part of the **IMPULS project** (AINA Challenge 2024), a collaboration between [SIRIS Academic](https://sirisacademic.com/) and [Generalitat de Catalunya](https://web.gencat.cat/) to build a multilingual semantic search system for R&D ecosystems.
+
+The KB contains scientific and technological concepts with:
+- **Multilingual labels** in Catalan, Spanish, English, and Italian
+- **Aliases/synonyms** for each language
+- **Definitions** where available
+- **Hierarchical relationships** (instance_of, subclass_of) linking to Wikidata
+
+### Use Cases
+
+- **Query Expansion**: Expand search queries with synonyms and related terms across languages
+- **Multilingual Search**: Find equivalent terms across CA/ES/EN/IT
+- **Concept Navigation**: Traverse hierarchical relationships for broader/narrower terms
+- **Named Entity Linking**: Link mentions to Wikidata identifiers
+
+## Dataset Structure
+
+### Format
+
+JSONL (JSON Lines) - one concept per line.
+
+### Schema
+
+```json
+{
+  "keyword": "machine learning",
+  "wikidata_id": "Q2539",
+  "languages": {
+    "ca": {
+      "label": "aprenentatge automàtic",
+      "description": "branca de la intel·ligència artificial",
+      "also_known_as": ["aprenentatge de màquines", "ML"]
+    },
+    "es": {
+      "label": "aprendizaje automático",
+      "description": "rama de la inteligencia artificial",
+      "also_known_as": ["aprendizaje de máquina", "ML"]
+    },
+    "en": {
+      "label": "machine learning",
+      "description": "branch of artificial intelligence",
+      "also_known_as": ["ML", "statistical learning"]
+    },
+    "it": {
+      "label": "apprendimento automatico",
+      "description": "ramo dell'intelligenza artificiale",
+      "also_known_as": []
+    }
+  },
+  "instance_of": [
+    {"id": "Q11660", "label": "artificial intelligence"}
+  ],
+  "subclass_of": [
+    {"id": "Q11660", "label": "artificial intelligence"},
+    {"id": "Q816264", "label": "computational learning theory"}
+  ]
+}
+```
+
+### Field Descriptions
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `keyword` | string | Primary English keyword |
+| `wikidata_id` | string | Wikidata entity ID (Q-number) |
+| `languages` | object | Multilingual labels, descriptions, and aliases |
+| `languages.{lang}.label` | string | Primary label in that language |
+| `languages.{lang}.description` | string | Short description/definition |
+| `languages.{lang}.also_known_as` | array | Alternative names/synonyms |
+| `instance_of` | array | Wikidata instance_of relations |
+| `subclass_of` | array | Wikidata subclass_of relations (for hierarchy traversal) |
+
+## Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total concepts | 4,265 |
+| With Catalan labels | ~4,200 |
+| With Spanish labels | ~4,250 |
+| With English labels | 4,265 |
+| With Italian labels | ~4,100 |
+| With subclass_of relations | ~3,590 |
+| Unique parent concepts | ~770 (in KB) |
+
+### Domain Coverage
+
+The KB focuses on R&D-relevant concepts including:
+- **Technology**: AI, blockchain, IoT, robotics, quantum computing
+- **Science**: biotechnology, nanotechnology, materials science
+- **Health**: medical devices, diagnostics, pharmaceuticals
+- **Energy**: renewables, hydrogen, energy storage
+- **Environment**: climate, sustainability, circular economy
+- **Industry**: manufacturing, automation, Industry 4.0
+
+## Examples
+
+### Example 1: Technology Concept
+
+```json
+{
+  "keyword": "blockchain",
+  "wikidata_id": "Q20514253",
+  "languages": {
+    "ca": {
+      "label": "cadena de blocs",
+      "description": "estructura de dades distribuïda",
+      "also_known_as": ["blockchain"]
+    },
+    "es": {
+      "label": "cadena de bloques",
+      "description": "base de datos distribuida",
+      "also_known_as": ["blockchain"]
+    },
+    "en": {
+      "label": "blockchain",
+      "description": "distributed database technology",
+      "also_known_as": ["block chain", "distributed ledger"]
+    }
+  },
+  "subclass_of": [
+    {"id": "Q8513", "label": "database"}
+  ]
+}
+```
+
+### Example 2: Health Concept
+
+```json
+{
+  "keyword": "patient",
+  "wikidata_id": "Q181600",
+  "languages": {
+    "ca": {
+      "label": "pacient",
+      "description": "",
+      "also_known_as": []
+    },
+    "es": {
+      "label": "paciente",
+      "description": "persona que recibe tratamiento para un problema de salud",
+      "also_known_as": ["pacientes", "enfermo"]
+    },
+    "en": {
+      "label": "patient",
+      "description": "person who takes a medical treatment",
+      "also_known_as": ["patients", "medical patient", "human patient"]
+    }
+  },
+  "instance_of": [
+    {"id": "Q214339", "label": "role"}
+  ],
+  "subclass_of": [
+    {"id": "Q12722854", "label": "sick person"},
+    {"id": "Q852835", "label": "customer"}
+  ]
+}
+```
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("SIRIS-Lab/impuls-wikidata-kb")
+kb = dataset["train"]
+
+print(f"Loaded {len(kb)} concepts")
+```
+
+### Query Expansion Example
+
+```python
+def find_concept(kb, query):
+    """Find concept by keyword or label."""
+    query_lower = query.lower()
+    for concept in kb:
+        if concept["keyword"].lower() == query_lower:
+            return concept
+        for lang in ["en", "es", "ca"]:
+            if concept["languages"].get(lang, {}).get("label", "").lower() == query_lower:
+                return concept
+    return None
+
+def get_expansions(concept):
+    """Get all labels and aliases for a concept."""
+    expansions = set()
+    for lang_data in concept["languages"].values():
+        if lang_data.get("label"):
+            expansions.add(lang_data["label"])
+        for alias in lang_data.get("also_known_as", []):
+            expansions.add(alias)
+    return expansions
+
+# Example
+concept = find_concept(kb, "machine learning")
+if concept:
+    print(f"Wikidata ID: {concept['wikidata_id']}")
+    print(f"Expansions: {get_expansions(concept)}")
+    # Output: {'machine learning', 'ML', 'aprenentatge automàtic', 'aprendizaje automático', ...}
+```
+
+### Building a Lookup Index
+
+```python
+def build_kb_index(kb):
+    """Build wikidata_id -> concept index for fast parent lookup."""
+    return {concept["wikidata_id"]: concept for concept in kb}
+
+kb_index = build_kb_index(kb)
+
+# Get parent concepts
+concept = find_concept(kb, "deep learning")
+for parent in concept.get("subclass_of", []):
+    parent_concept = kb_index.get(parent["id"])
+    if parent_concept:
+        print(f"Parent: {parent_concept['keyword']}")
+```
+
+## Data Collection
+
+The knowledge base was built by:
+
+1. **Seed Selection**: Identifying R&D-relevant concepts from project databases (RIS3CAT, OpenAIRE, CORDIS)
+2. **Wikidata Extraction**: Querying Wikidata API for each concept's labels, aliases, and relations
+3. **Multilingual Enrichment**: Ensuring coverage across CA/ES/EN/IT
+4. **Hierarchy Validation**: Filtering subclass_of relations to include only parents present in the KB
+5. **Quality Control**: Manual review of key domain concepts
+
+## Integration with IMPULS
+
+This KB is used by the [IMPULS Query Parser](https://huggingface.co/SIRIS-Lab/impuls-salamandra-7b-query-parser) for:
+
+- **Query Expansion**: Adding multilingual synonyms to search queries
+- **Cross-lingual Search**: Finding Spanish projects with Catalan queries
+- **Concept Navigation**: Broadening searches via parent concepts
+
+## Limitations
+
+- **Domain Focus**: Optimized for R&D/scientific concepts; general vocabulary coverage is limited
+- **Language Coverage**: Best coverage in English; some concepts may lack labels in other languages
+- **Temporal Snapshot**: Based on Wikidata as of late 2024; may not reflect recent additions
+- **Hierarchy Depth**: Only direct parents (subclass_of) are included; transitive closure not computed
+
+## Citation
+
+```bibtex
+@misc{impuls-wikidata-kb-2024,
+  author = {SIRIS Academic},
+  title = {IMPULS R&D Knowledge Base: Multilingual Wikidata Concepts for Query Expansion},
+  year = {2024},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/SIRIS-Lab/impuls-wikidata-kb}}
+}
+```
+
+## Acknowledgments
+
+- **[Wikidata](https://www.wikidata.org/)** - Source knowledge graph
+- **[Barcelona Supercomputing Center (BSC)](https://www.bsc.es/)** - AINA project infrastructure
+- **[Generalitat de Catalunya](https://web.gencat.cat/)** - Funding and RIS3-MCAT platform
+
+## License
+
+Apache 2.0
+
+## Related Resources
+
+- **Query Parser Model**: [SIRIS-Lab/impuls-salamandra-7b-query-parser](https://huggingface.co/SIRIS-Lab/impuls-salamandra-7b-query-parser)
+- **Query Parsing Dataset**: [SIRIS-Lab/impuls-query-parsing](https://huggingface.co/datasets/SIRIS-Lab/impuls-query-parsing)
+- **Project Repository**: [github.com/sirisacademic/aina-impulse](https://github.com/sirisacademic/aina-impulse)