Update dataset card for parquet format

README.md

@@ -7,57 +7,56 @@ language:
 tags:
   - cricket
   - cricsheet
-  - ndjson
+  - parquet
   - aicrix
 size_categories:
   - 1M<n<10M
 ---
 
-# AICrix — processed cricket data (relational NDJSON)
+# AICrix — processed cricket data (Parquet)
 
-Processed cricket tables exported as **newline-delimited JSON** (one JSON object per line), using the **AICrix relational schema** defined in this project (`db/migrations/001_cricket_schema.sql`).
+Processed cricket tables in **Apache Parquet** (ZSTD compression), using the **AICrix relational schema** (`db/migrations/001_cricket_schema.sql`).
 
 ## Files
 
 | File | Description |
 |------|-------------|
-| `continents.ndjson` | Continents |
-| `countries.ndjson` | Countries |
-| `leagues.ndjson` | Competitions |
-| `seasons.ndjson` | Seasons |
-| `stages.ndjson` | Tournament stages |
-| `venues.ndjson` | Venues |
-| `positions.ndjson` | Player positions |
-| `teams.ndjson` | Teams |
-| `players.ndjson` | Players |
-| `squad.ndjson` | Season squads |
-| `officials.ndjson` | Umpires / referees |
-| `fixtures.ndjson` | Matches |
-| `fixture_dl_data.ndjson` | D/L method rows |
-| `runs.ndjson` | Innings team scores |
-| `batting_scoreboards.ndjson` | Batting cards |
-| `bowling_scoreboards.ndjson` | Bowling cards |
-| `balls.ndjson` | Ball-by-ball (largest file) |
-| `lineups.ndjson` | Match lineups |
-| `standings.ndjson` | Table standings |
-| `team_rankings.ndjson` | ICC-style rankings |
+| `continents.parquet` | Continents |
+| `countries.parquet` | Countries |
+| `leagues.parquet` | Competitions |
+| `seasons.parquet` | Seasons |
+| `stages.parquet` | Tournament stages |
+| `venues.parquet` | Venues |
+| `positions.parquet` | Player positions |
+| `teams.parquet` | Teams |
+| `players.parquet` | Players |
+| `squad.parquet` | Season squads |
+| `officials.parquet` | Umpires / referees |
+| `fixtures.parquet` | Matches |
+| `fixture_dl_data.parquet` | D/L method rows |
+| `runs.parquet` | Innings team scores |
+| `batting_scoreboards.parquet` | Batting cards |
+| `bowling_scoreboards.parquet` | Bowling cards |
+| `balls.parquet` | Ball-by-ball (largest table) |
+| `lineups.parquet` | Match lineups |
+| `standings.parquet` | Table standings |
+| `team_rankings.parquet` | ICC-style rankings |
 
 ## Usage
 
 ```python
-import json
-from pathlib import Path
-
-def read_ndjson(path: str):
-    with open(path, encoding="utf-8") as f:
-        for line in f:
-            line = line.strip()
-            if line:
-                yield json.loads(line)
-
-for row in read_ndjson("fixtures.ndjson"):
-    print(row["id"], row["type"])
-    break
+import pandas as pd
+
+fixtures = pd.read_parquet("fixtures.parquet")
+print(fixtures[["id", "type", "starting_at"]].head())
+```
+
+With DuckDB (SQL over parquet):
+
+```python
+import duckdb
+
+duckdb.sql("SELECT id, type FROM 'fixtures.parquet' LIMIT 5").show()
 ```
 
 Download from the Hub:
@@ -74,4 +73,4 @@ hf download veloria-tech/aicrix --repo-type dataset --local-dir ./aicrix
 
 ## Source
 
-Derived from Cricsheet JSON in the parent [cricket-prediction-model](https://github.com/) pipeline (`data/raw` → `data/processed`).
+Derived from Cricsheet JSON (`data/raw` → NDJSON pipeline → Parquet export).