Data Explore
by wellcomecollection
Explore Hive tables and datasets in the Wellcome Collection data warehouse. Use this skill to query tables, understand schemas, or analyze data distributions. Invoke with /data-explore.
Skill Details
Repository Files
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name: data-explore description: Explore Hive tables and datasets in the Wellcome Collection data warehouse. Use this skill to query tables, understand schemas, or analyze data distributions. Invoke with /data-explore.
Data Exploration
This skill helps explore the Wellcome Collection data warehouse stored in Hive tables.
Available Tables
Core Tables
| Table | Records | Description |
|---|---|---|
works |
738,073 | Wellcome Collection works catalog |
images |
128,755 | Image metadata from IIIF manifests |
iiif_manifests |
~340,000 | IIIF manifest metadata |
iiif_canvases |
~42M | Page-level canvas data |
Text Tables
| Table | Records | Description |
|---|---|---|
alto_text |
~226,000 | OCR text from works (9.8B words total) |
alto_sentence |
~550M | Sentence-level text |
alto_text_chunks |
~74M | Text chunks for embedding |
Embedding Tables
| Table | Description |
|---|---|
vlm_embeddings |
VLM image embeddings (1536-dim) |
text_embeddings |
Qwen3 text embeddings |
Label Tables
| Table | Records | Description |
|---|---|---|
dn_labels |
646,786 | Combined genres/subjects/contributors |
Quick Start
Connect to Spark
from wc_simd.utility import get_spark_session
spark = get_spark_session()
List Tables
spark.sql("SHOW TABLES").show()
Explore Schema
spark.table("works").printSchema()
Sample Data
spark.table("works").show(10, truncate=False)
Count Records
spark.table("works").count()
Common Queries
Works with OCR Text
SELECT COUNT(*) FROM works w
JOIN alto_text t ON w.id = t.id
Genre Distribution
SELECT genre.label, COUNT(*) as cnt
FROM works
LATERAL VIEW explode(genres) AS genre
GROUP BY genre.label
ORDER BY cnt DESC
LIMIT 20
Subject Distribution
SELECT subject.label, COUNT(*) as cnt
FROM works
LATERAL VIEW explode(subjects) AS subject
GROUP BY subject.label
ORDER BY cnt DESC
LIMIT 20
Concept Types
SELECT concept.type, COUNT(*) as cnt
FROM works
LATERAL VIEW explode(subjects) AS subject
LATERAL VIEW explode(subject.concepts) AS concept
GROUP BY concept.type
Key Statistics
- Total words: 9.8 billion (~12,500 King James Bibles)
- Text chunks: 74.3 million (1000 chars, 200 overlap)
- Languages: 78.9% English
- Genre labels: 1,523 unique
- Subject labels: 204,322 unique
- Concept labels: 126,714 unique
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