README.md

---
license: cc-by-4.0
language:
  - en
tags:
  - knowledge-graph
  - graph-database
  - cypher
  - cricket
  - sports
  - ball-by-ball
pretty_name: Cricket Knowledge Graph (Cricsheet)
size_categories:
  - 1M<n<10M
configs:
  - config_name: match
    data_files: nodes/match.csv
  - config_name: player
    data_files: nodes/player.csv
  - config_name: tournament
    data_files: nodes/tournament.csv
  - config_name: venue
    data_files: nodes/venue.csv
  - config_name: team
    data_files: nodes/team.csv
  - config_name: season
    data_files: nodes/season.csv
  - config_name: edge_batted_in
    data_files: edges/batted_in.csv
  - config_name: edge_bowled_in
    data_files: edges/bowled_in.csv
  - config_name: edge_dismissed
    data_files: edges/dismissed.csv
  - config_name: edge_fielded_dismissal
    data_files: edges/fielded_dismissal.csv
  - config_name: edge_competed_in
    data_files: edges/competed_in.csv
  - config_name: edge_played_for
    data_files: edges/played_for.csv
  - config_name: edge_won
    data_files: edges/won.csv
  - config_name: edge_won_toss
    data_files: edges/won_toss.csv
  - config_name: edge_player_of_match
    data_files: edges/player_of_match.csv
  - config_name: edge_hosted_at
    data_files: edges/hosted_at.csv
  - config_name: edge_in_season
    data_files: edges/in_season.csv
  - config_name: edge_part_of
    data_files: edges/part_of.csv
---

# Cricket Knowledge Graph

**36,619 nodes. 1,392,017 edges. 21,324 matches** — Tests, ODIs, T20s, IPL, BBL and more,
men's and women's, from December 2001 to March 2026.

Built with [Samyama Graph](https://github.com/samyama-ai/samyama-graph).
Loader and ETL: [samyama-ai/cricket-kg](https://github.com/samyama-ai/cricket-kg).

## Attribution — required

This dataset is **CC-BY-4.0**, which means attribution is a **condition of use**, not a
courtesy. If you use it, credit the source:

> Source data from **[Cricsheet.org](https://cricsheet.org/)**, licensed
> **[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)**.

That requirement travels with the data — anything you redistribute, publish or build on
top of must carry it too.

| | |
|--|--|
| **Data** | **CC-BY-4.0** — attribution required |
| Source | [Cricsheet.org](https://cricsheet.org/) |
| Loader code | Apache-2.0, in the GitHub repo. **This does not govern the data.** |

## What this is

Every match Cricsheet has published, as a property graph rather than a pile of JSON.

Because it is a graph, questions needing several hops are direct: which bowler has dismissed
a given batter most often across formats, which venues a partnership performs best at, how a
player's strike rate moves across seasons and competitions.

**Every node is connected** — there are no isolated records in this graph.

| Format | Matches | | Gender | Matches |
|--------|--------:|--|--------|--------:|
| T20 | 13,069 | | men's | 17,166 |
| ODI | 3,098 | | women's | 4,158 |
| MDM (multi-day) | 2,085 | | | |
| ODM (one-day) | 1,852 | | | |
| Test | 900 | | | |
| IT20 | 320 | | | |

## Files

Nodes carry an `id`; edges reference those ids as `src` and `tgt`. Join on `id`.

### `nodes/`

| File | Rows | Columns |
|------|-----:|---------|
| `match.csv` | 21,324 | `id, file_id, date, gender, match_type, season, win_by_runs, win_by_wickets, winner` |
| `player.csv` | 12,933 | `id, cricsheet_id, name` |
| `tournament.csv` | 1,053 | `id, name` |
| `venue.csv` | 877 | `id, city, name` |
| `team.csv` | 383 | `id, name` |
| `season.csv` | 49 | `id, year` |

### `edges/`

Several edges carry performance data as properties — that is where the detail lives.

| File | Rows | Connects | Properties |
|------|-----:|----------|------------|
| `batted_in.csv` | 401,165 | Player → Match | `runs, balls, fours, sixes, strike_rate, innings_num, super_over` |
| `dismissed.csv` | 308,216 | Player → Player | `kind, over, match_file_id` |
| `bowled_in.csv` | 279,426 | Player → Match | `wickets, overs, maidens, runs_conceded, economy, innings_num` |
| `fielded_dismissal.csv` | 215,869 | Player → Player | `kind, over, match_file_id` |
| `competed_in.csv` | 42,648 | Team → Match | — |
| `played_for.csv` | 24,011 | Player → Team | — |
| `hosted_at.csv` | 21,324 | Match → Venue | — |
| `in_season.csv` | 21,324 | Match → Season | — |
| `won_toss.csv` | 21,324 | Team → Match | `decision` |
| `part_of.csv` | 21,235 | Match → Tournament | `group, match_number` |
| `won.csv` | 19,679 | Team → Match | `by_runs, by_wickets` |
| `player_of_match.csv` | 15,796 | Player → Match | — |

`DISMISSED` is bowler → batter; `FIELDED_DISMISSAL` is fielder → batter. Both carry the
`kind` of dismissal and the `over` it happened in.

### Also included

`cricket.sgsnap` — the same graph as a Samyama snapshot. Loads into the engine in one step,
without running the ETL.

## Usage

### As tables

```python
from datasets import load_dataset

batting = load_dataset("VaidhyaMegha/cricket-kg", "edge_batted_in", revision="v1.0")
print(batting["train"].num_rows)          # 401165
```

### As a graph

```bash
docker run --rm -p 8080:8080 -p 6379:6379 public.ecr.aws/f9f6l5u4/samyama-graph:1.1.0
curl -X POST localhost:8080/api/tenants -H 'Content-Type: application/json' \
     -d '{"id":"cricket","name":"Cricket KG"}'
curl -X POST localhost:8080/api/tenants/cricket/snapshot/import -F "file=@cricket.sgsnap"
```

```cypher
// Leading run scorers across all formats
MATCH (p:Player)-[b:BATTED_IN]->(:Match)
RETURN p.name AS player, sum(b.runs) AS runs
ORDER BY runs DESC LIMIT 5
// V Kohli 36,545 · KC Sangakkara 30,651 · DA Warner 28,317 · RG Sharma 26,748

// Which bowler has dismissed a given batter most often — a question about the
// relationship itself, which is awkward in SQL and direct in a graph
MATCH (bowler:Player)-[d:DISMISSED]->(batter:Player)
RETURN bowler.name, batter.name, count(d) AS times
ORDER BY times DESC LIMIT 10
```

## Provenance

**1. Original source — [Cricsheet.org](https://cricsheet.org/)**, ball-by-ball match data
as JSON, **CC-BY-4.0**. 21,325 files at the time of extraction.

**2. ETL — [samyama-ai/cricket-kg](https://github.com/samyama-ai/cricket-kg)**, which maps
those files to a property graph.

**3. This dataset** — exported from a Samyama snapshot taken **2026-03-14**
(`sgsnap` format v1, engine **v0.6.0**), then flattened to CSV. Totals were asserted against
the snapshot header — **36,619** nodes and **1,392,017** edges — and re-verified after upload.

## Versioning

| Version | Date | Contents |
|---------|------|----------|
| **`v1.0`** | 2026-08-17 | Initial release — 36,619 nodes, 1,392,017 edges from the 2026-03-14 snapshot |

**Pin the tag, not `main`.** `main` moves; a tag does not.

```python
load_dataset("VaidhyaMegha/cricket-kg", "player", revision="v1.0")
```

Data changes get a new tag (`v1.1`, `v2.0`); corrections to this card alone land on `main`.

## Limitations

- **Not literally ball-by-ball.** It is *built from* Cricsheet's ball-by-ball files, but the
  graph stores **per-innings aggregates** (`BATTED_IN`, `BOWLED_IN`) plus individual
  dismissals with their over. Delivery-level rows are not preserved. For per-ball analysis,
  go to the Cricsheet source files.
- **Coverage starts 2001-12-19** and ends **2026-03-11** — Cricsheet's own range, not the
  whole history of the sport. Older Tests are absent.
- **Player identity is per-Cricsheet.** `cricsheet_id` is the key; players are not
  reconciled against any external registry, and name spellings follow Cricsheet's.
- **Teams are strings** — national sides and franchises share the `Team` label with no
  distinction between them.
- No ball-by-ball commentary, no partnerships as first-class objects, no fielding positions.

Verified: totals match the snapshot header exactly, **every node has at least one edge**
(0 orphans of 36,619), and aggregates reproduce known records — V Kohli leading run-scorer,
JM Anderson leading wicket-taker at 1,140.

## Citation

CC-BY-4.0 **requires** attribution. Cite both the source and this build.

**Original source:**

```
Cricsheet. Ball-by-ball cricket data. https://cricsheet.org/
Licensed CC-BY-4.0. https://creativecommons.org/licenses/by/4.0/
```

**This graph build:**

```
Cricket Knowledge Graph, v1.0 (36,619 nodes, 1,392,017 edges).
Built with Samyama Graph. https://huggingface.co/datasets/VaidhyaMegha/cricket-kg
ETL: https://github.com/samyama-ai/cricket-kg
Source data: Cricsheet.org, CC-BY-4.0, https://cricsheet.org/
```

```bibtex
@misc{cricket_kg_samyama,
  title        = {Cricket Knowledge Graph},
  howpublished = {\url{https://huggingface.co/datasets/VaidhyaMegha/cricket-kg}},
  version      = {v1.0},
  note         = {Derived from Cricsheet.org ball-by-ball data, CC-BY-4.0,
                  \url{https://cricsheet.org/}.
                  ETL: \url{https://github.com/samyama-ai/cricket-kg}},
  year         = {2026}
}
```

### The three pieces

| Piece | Where |
|-------|-------|
| **Code** — ETL, schema, loaders | [github.com/samyama-ai/cricket-kg](https://github.com/samyama-ai/cricket-kg) |
| **Data** — this dataset, and the raw source it derives from | here, and [cricsheet.org](https://cricsheet.org/) |
| **Graph** — importable snapshot | `cricket.sgsnap` in this repository |