Adds compiled data for flights and reviews.

.gitignore

@@ -66,6 +66,4 @@ logs/
 # Data / output files
 *.csv
 *.parquet
-*.jsonl
-data/
 output/

README.md

@@ -1,3 +1,23 @@
+---
+license: mit
+task_categories:
+- text-generation
+- question-answering
+tags:
+- rocketry
+- aerospace
+- simulation
+configs:
+- config_name: reviews
+  data_files:
+  - split: train
+    path: data/reviews.jsonl
+- config_name: flights
+  data_files:
+  - split: train
+    path: data/flights.jsonl
+---
+
 # RocketReviews Dataset
 
 A structured dataset scraped from [RocketReviews.com](https://www.rocketreviews.com) for use in AI/ML pipelines and vector databases.

data/flights.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f08215ba39a63640675710a88955fc54929a94f05c2ada7c164d33ce9bcac386
+size 17497866

data/reviews.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fa7e8e68420ac00dcf816e97de51320c0e909d90d2ab7eb45a79a3b94f6b579b
+size 3141618

scripts/flights/02_build_data.py

@@ -0,0 +1,90 @@
+#!/usr/bin/env python3
+import json
+import logging
+import sys
+from pathlib import Path
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+ROOT = Path(__file__).parent.parent.parent
+SOURCE_DIR = ROOT / "source" / "flights" / "detail"
+OUTPUT_FILE = ROOT / "data" / "flights.jsonl"
+PREFIX = "flight"
+
+logging.basicConfig(level=logging.INFO, format="%(message)s")
+log = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# Mapper
+# ---------------------------------------------------------------------------
+
+def transform_flight(data: dict) -> dict:
+    """Flatten nested flight JSON into a ChromaDB-ready format."""
+    
+    chroma_id = f"{PREFIX}:{int(data['id']):06d}"
+    
+    # Build searchable document text
+    parts = []
+    summary = f"Flight of the {data.get('rocket', 'rocket')}"
+    if data.get('flyer'): summary += f" by {data['flyer']}"
+    if data.get('motors'): summary += f" using {data['motors']} motor(s)"
+    if data.get('launch_site'): summary += f" at {data['launch_site']}"
+    summary += "."
+    
+    parts.append(summary)
+    if data.get("notes"): parts.append(data["notes"])
+    
+    document = " ".join(parts)
+    
+    # Flatten metadata
+    metadata = {
+        "id": data["id"],
+        "date": data.get("date"),
+        "flyer": data.get("flyer"),
+        "rocket": data.get("rocket"),
+        "kit": data.get("kit"),
+        "altitude_ft": data.get("altitude_ft"),
+        "wind_speed_mph": data.get("conditions", {}).get("wind_speed_mph"),
+        "temperature_f": data.get("conditions", {}).get("temperature_f"),
+        "url": data.get("url")
+    }
+    
+    metadata = {k: v for k, v in metadata.items() if v is not None}
+    
+    return {
+        "id": chroma_id,
+        "document": document,
+        "metadata": metadata
+    }
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+def main():
+    if not SOURCE_DIR.exists():
+        log.error(f"Source directory {SOURCE_DIR} not found.")
+        return
+
+    OUTPUT_FILE.parent.mkdir(parents=True, exist_ok=True)
+    
+    count = 0
+    with OUTPUT_FILE.open("w", encoding="utf-8") as out:
+        for shard_dir in sorted(SOURCE_DIR.iterdir()):
+            if not shard_dir.is_dir(): continue
+            for file_path in sorted(shard_dir.glob("*.json")):
+                try:
+                    with file_path.open("r", encoding="utf-8") as f:
+                        raw_data = json.load(f)
+                    processed = transform_flight(raw_data)
+                    out.write(json.dumps(processed, ensure_ascii=False) + "\n")
+                    count += 1
+                except Exception as e:
+                    log.error(f"Error processing {file_path}: {e}")
+
+    log.info(f"Successfully built {count} records in {OUTPUT_FILE}")
+
+if __name__ == "__main__":
+    main()

scripts/reviews/02_build_data.py

@@ -0,0 +1,93 @@
+#!/usr/bin/env python3
+import json
+import logging
+import sys
+from pathlib import Path
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+ROOT = Path(__file__).parent.parent.parent
+SOURCE_DIR = ROOT / "source" / "reviews" / "detail"
+OUTPUT_FILE = ROOT / "data" / "reviews.jsonl"
+PREFIX = "review"
+
+logging.basicConfig(level=logging.INFO, format="%(message)s")
+log = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# Mapper
+# ---------------------------------------------------------------------------
+
+def transform_review(data: dict) -> dict:
+    """Flatten nested review JSON into a ChromaDB-ready format."""
+    
+    # 1. Generate Globally Unique ID
+    chroma_id = f"{PREFIX}:{int(data['id']):06d}"
+    
+    # 2. Build searchable document text
+    sections = data.get("sections", {})
+    text_blocks = []
+    if data.get("kit"): text_blocks.append(f"Review of the {data['kit']}.")
+    
+    # Add all narrative sections
+    for title, content in sections.items():
+        text_blocks.append(f"{title}: {content}")
+    
+    document = " ".join(text_blocks)
+    
+    # 3. Flatten metadata (simple types only)
+    metadata = {
+        "id": data["id"],
+        "type": data.get("type"),
+        "date": data.get("date"),
+        "kit_name": data.get("kit"),
+        "manufacturer_name": data.get("manufacturer", {}).get("name") if isinstance(data.get("manufacturer"), dict) else data.get("manufacturer"),
+        "rating_construction": data.get("ratings", {}).get("construction"),
+        "rating_flight": data.get("ratings", {}).get("flight"),
+        "rating_overall": data.get("ratings", {}).get("overall"),
+        "url": data.get("url")
+    }
+    
+    # Remove nulls to keep metadata clean
+    metadata = {k: v for k, v in metadata.items() if v is not None}
+    
+    return {
+        "id": chroma_id,
+        "document": document,
+        "metadata": metadata
+    }
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+def main():
+    if not SOURCE_DIR.exists():
+        log.error(f"Source directory {SOURCE_DIR} not found.")
+        return
+
+    OUTPUT_FILE.parent.mkdir(parents=True, exist_ok=True)
+    
+    count = 0
+    with OUTPUT_FILE.open("w", encoding="utf-8") as out:
+        # Walk the sharded detail directory
+        for shard_dir in sorted(SOURCE_DIR.iterdir()):
+            if not shard_dir.is_dir(): continue
+            
+            for file_path in sorted(shard_dir.glob("*.json")):
+                try:
+                    with file_path.open("r", encoding="utf-8") as f:
+                        raw_data = json.load(f)
+                    
+                    processed = transform_review(raw_data)
+                    out.write(json.dumps(processed, ensure_ascii=False) + "\n")
+                    count += 1
+                except Exception as e:
+                    log.error(f"Error processing {file_path}: {e}")
+
+    log.info(f"Successfully built {count} records in {OUTPUT_FILE}")
+
+if __name__ == "__main__":
+    main()

source/clubs/index.jsonl

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+size 73798

source/designs/index.jsonl

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+oid sha256:ea2c5ad3851ae1766e78341fafc93be31571631981974535b1b2a4721cd2ee1b
+size 1499531

source/flights/index.jsonl

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source/glossary/index.jsonl

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source/manufacturers/index.jsonl

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source/motors/index.jsonl

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source/parts/index.jsonl

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+size 4876361

source/plans/index.jsonl

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source/products/index.jsonl

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+size 1574905

source/reviews/index.jsonl

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