Add dataset card

README.md

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+---
+license: mit
+task_categories:
+  - tabular-classification
+language:
+  - en
+tags:
+  - dota2
+  - esports
+  - gaming
+  - replay-parsing
+  - time-series
+size_categories:
+  - 100M<n<1B
+---
+
+# Betty Dota 2 Pro Matches Dataset
+
+9,388 professional Dota 2 matches parsed from replay files with per-second game state snapshots and combat log events.
+
+## Dataset Structure
+
+### matches.parquet (9,388 rows)
+
+One row per match. Contains metadata, STRATZ player statistics, and draft data.
+
+| Column | Type | Description |
+|--------|------|-------------|
+| match_id | int64 | Dota 2 match ID |
+| league_name | string | Tournament name |
+| league_tier | string | PROFESSIONAL, MAJOR, etc. |
+| duration_sec | int64 | Match duration in seconds |
+| radiant_win | bool | True if Radiant won |
+| radiant_team_id / dire_team_id | int64 | Team IDs |
+| p0..p9_hero_id | int64 | Hero ID per player (STRATZ) |
+| p0..p9_kills/deaths/assists | int64 | Final KDA per player |
+| p0..p9_gpm/xpm/networth | int64 | Economy stats per player |
+| p0..p9_gpm_per_min | list[int] | Gold per minute time-series |
+| p0..p9_networth_per_min | list[int] | Net worth per minute |
+| p0..p9_hero_damage_per_min | list[int] | Hero damage per minute |
+| stratz_pb_hero_id | list[int] | STRATZ pick/ban hero IDs |
+| replay_pb_hero_id | list[int] | Replay-parsed pick/ban hero IDs |
+
+### ticks/ (189,120,930 rows)
+
+One row per game-tick per hero. ~1,500 ticks per match x 10 heroes. Per-second snapshots of full game state.
+
+| Column | Type | Description |
+|--------|------|-------------|
+| match_id | int64 | Match ID |
+| tick | int32 | Raw tick number |
+| game_time | float | Game time in seconds |
+| slot | int8 | Player slot (0-9) |
+| hero | string | Hero internal name |
+| x, y | float | Map position coordinates |
+| hp, max_hp | int32 | Current and max health |
+| mana, max_mana | float | Current and max mana |
+| gold | int32 | Current gold |
+| net_worth | int32 | Total net worth |
+| xp | int32 | Total experience |
+| kills, deaths, assists | int16 | KDA at this moment |
+| last_hits, denies | int16 | CS at this moment |
+| level | int8 | Hero level |
+| str, agi, int_ | float | Attribute values |
+| armor | float | Armor value |
+| move_speed | int16 | Movement speed |
+| item_0..item_5 | string | Items in 6 inventory slots |
+
+### events/ (295,810,843 rows)
+
+One row per combat log event. Damage, kills, gold gains, XP, healing, purchases.
+
+| Column | Type | Description |
+|--------|------|-------------|
+| match_id | int64 | Match ID |
+| tick | int32 | Raw tick number |
+| game_time | float | Game time in seconds |
+| timestamp | float | Exact event timestamp |
+| event_type | string | DOTA_COMBATLOG_DAMAGE, _DEATH, _GOLD, _HEAL, _PURCHASE, _XP |
+| source | string | Source entity (e.g. npc_dota_hero_invoker) |
+| target | string | Target entity |
+| value | int32 | Damage/gold/xp amount |
+| item | string | Item name (for PURCHASE events) |
+
+## Statistics
+
+- **Matches**: 9,388 professional games from 2025
+- **Ticks**: 189,120,930 per-second hero state snapshots
+- **Events**: 295,810,843 combat log entries
+- **Size**: 5.97 GB compressed Parquet (from 103 GB JSON)
+- **Source**: Valve replay files (.dem) parsed with [manta](https://github.com/dotabuff/manta) + STRATZ API metadata
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load matches metadata
+matches = load_dataset("wolframko/pipes-lie-embargo-dominus", data_files="matches.parquet", split="train")
+
+# Load ticks (large - use streaming)
+ticks = load_dataset("wolframko/pipes-lie-embargo-dominus", data_files="ticks/*.parquet", split="train", streaming=True)
+
+# Load events
+events = load_dataset("wolframko/pipes-lie-embargo-dominus", data_files="events/*.parquet", split="train", streaming=True)
+```
+
+```python
+import pandas as pd
+
+# Quick analysis with pandas
+matches_df = pd.read_parquet("hf://datasets/wolframko/pipes-lie-embargo-dominus/matches.parquet")
+print(f"Matches: {len(matches_df)}, Radiant winrate: {matches_df.radiant_win.mean():.1%}")
+```
+
+## Data Pipeline
+
+1. **Fetch**: Match IDs from STRATZ GraphQL API (pro leagues 2025)
+2. **Download**: Replay files (.dem.bz2) from Valve CDN
+3. **Parse**: Per-second hero states + combat log via manta (Go)
+4. **Enrich**: Player/team stats from STRATZ API
+5. **Convert**: JSON to Parquet with full validation
+
+## License
+
+MIT