Add dataset card with schema docs, subset configs, and license
Browse files
README.md
ADDED
|
@@ -0,0 +1,121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
task_categories:
|
| 4 |
+
- time-series-forecasting
|
| 5 |
+
- tabular-classification
|
| 6 |
+
tags:
|
| 7 |
+
- polymarket
|
| 8 |
+
- prediction-markets
|
| 9 |
+
- culture
|
| 10 |
+
- elon-musk
|
| 11 |
+
- twitter
|
| 12 |
+
- social-media
|
| 13 |
+
- finance
|
| 14 |
+
language:
|
| 15 |
+
- en
|
| 16 |
+
pretty_name: Polymarket Culture Markets
|
| 17 |
+
size_categories:
|
| 18 |
+
- 1M<n<10M
|
| 19 |
+
configs:
|
| 20 |
+
- config_name: markets
|
| 21 |
+
data_files:
|
| 22 |
+
- split: train
|
| 23 |
+
path: data/markets.parquet
|
| 24 |
+
- config_name: prices
|
| 25 |
+
data_files:
|
| 26 |
+
- split: train
|
| 27 |
+
path: data/prices/**/*.parquet
|
| 28 |
+
- config_name: ticks
|
| 29 |
+
data_files:
|
| 30 |
+
- split: train
|
| 31 |
+
path: data/ticks/**/*.parquet
|
| 32 |
+
---
|
| 33 |
+
|
| 34 |
+
# Polymarket Culture Markets
|
| 35 |
+
|
| 36 |
+
Multi-outcome prediction market data from Polymarket for cultural events. Currently covers **Elon Musk tweet count** markets across 4-day, 7-day, and 1-month timeframes.
|
| 37 |
+
|
| 38 |
+
Updated automatically every 3 hours.
|
| 39 |
+
|
| 40 |
+
## Subsets
|
| 41 |
+
|
| 42 |
+
```python
|
| 43 |
+
from datasets import load_dataset
|
| 44 |
+
|
| 45 |
+
markets = load_dataset("aliplayer1/polymarket-culture-data", "markets")
|
| 46 |
+
prices = load_dataset("aliplayer1/polymarket-culture-data", "prices")
|
| 47 |
+
ticks = load_dataset("aliplayer1/polymarket-culture-data", "ticks")
|
| 48 |
+
```
|
| 49 |
+
|
| 50 |
+
Or query with DuckDB:
|
| 51 |
+
|
| 52 |
+
```python
|
| 53 |
+
import duckdb
|
| 54 |
+
|
| 55 |
+
duckdb.sql("""
|
| 56 |
+
SELECT * FROM 'hf://datasets/aliplayer1/polymarket-culture-data/data/prices/**/*.parquet'
|
| 57 |
+
WHERE crypto = 'ELON-TWEETS'
|
| 58 |
+
LIMIT 100
|
| 59 |
+
""").show()
|
| 60 |
+
```
|
| 61 |
+
|
| 62 |
+
## Data Description
|
| 63 |
+
|
| 64 |
+
### `markets` — Market metadata
|
| 65 |
+
|
| 66 |
+
One row per market with question text, resolution, timeframe, and a JSON `tokens` map of token IDs to outcome labels.
|
| 67 |
+
|
| 68 |
+
| Column | Type | Description |
|
| 69 |
+
|--------|------|-------------|
|
| 70 |
+
| `market_id` | string | Polymarket market identifier |
|
| 71 |
+
| `question` | string | Market question text |
|
| 72 |
+
| `crypto` | string | Event category (e.g. "ELON-TWEETS") |
|
| 73 |
+
| `timeframe` | string | Market timeframe (4-day, 7-day, 1-month) |
|
| 74 |
+
| `volume` | float32 | Market volume in USDC |
|
| 75 |
+
| `resolution` | int8 | Market resolution |
|
| 76 |
+
| `start_ts` | int64 | Market start timestamp (epoch seconds) |
|
| 77 |
+
| `end_ts` | int64 | Market end timestamp (epoch seconds) |
|
| 78 |
+
| `condition_id` | string | On-chain condition identifier |
|
| 79 |
+
| `tokens` | string | JSON map of token ID to outcome label |
|
| 80 |
+
|
| 81 |
+
### `prices` — Long-format price history
|
| 82 |
+
|
| 83 |
+
Price time series in long format (one row per token per timestamp), unlike the binary crypto dataset which uses wide format (up_price/down_price columns). Hive-partitioned by `crypto` and `timeframe`.
|
| 84 |
+
|
| 85 |
+
| Column | Type | Description |
|
| 86 |
+
|--------|------|-------------|
|
| 87 |
+
| `market_id` | string | Polymarket market identifier |
|
| 88 |
+
| `timestamp` | int64 | Price timestamp (epoch seconds) |
|
| 89 |
+
| `token_id` | string | CLOB token identifier |
|
| 90 |
+
| `outcome` | string | Outcome label (e.g. "10-19", "20-29", "Yes") |
|
| 91 |
+
| `price` | float32 | Outcome price (0.0-1.0) |
|
| 92 |
+
| `crypto` | string | Event category |
|
| 93 |
+
| `timeframe` | string | Market timeframe |
|
| 94 |
+
|
| 95 |
+
### `ticks` — Trade-level fills
|
| 96 |
+
|
| 97 |
+
Individual trades from on-chain events and WebSocket captures. Same schema as the crypto dataset's ticks table, Hive-partitioned by `crypto` and `timeframe`.
|
| 98 |
+
|
| 99 |
+
| Column | Type | Description |
|
| 100 |
+
|--------|------|-------------|
|
| 101 |
+
| `market_id` | string | Polymarket market identifier |
|
| 102 |
+
| `timestamp_ms` | int64 | Trade timestamp (epoch milliseconds) |
|
| 103 |
+
| `token_id` | string | CLOB token identifier |
|
| 104 |
+
| `outcome` | string | Outcome label |
|
| 105 |
+
| `side` | string | "BUY" or "SELL" (taker perspective) |
|
| 106 |
+
| `price` | float32 | Trade price (0.0-1.0) |
|
| 107 |
+
| `size_usdc` | float32 | Trade size in USDC |
|
| 108 |
+
| `tx_hash` | string | Transaction hash ("" for WS ticks) |
|
| 109 |
+
| `block_number` | int32 | Polygon block number (0 for WS ticks) |
|
| 110 |
+
| `log_index` | int32 | Log index within block |
|
| 111 |
+
| `source` | string | "onchain" or "websocket" |
|
| 112 |
+
| `spot_price_usdt` | float32 | Not applicable for culture markets |
|
| 113 |
+
| `spot_price_ts_ms` | int64 | Not applicable for culture markets |
|
| 114 |
+
|
| 115 |
+
## Pipeline
|
| 116 |
+
|
| 117 |
+
This dataset is produced by [polymarket-data-pipeline](https://github.com/aliplayer1/polymarket-data-pipeline). See the crypto dataset ([polymarket-crypto-updown](https://huggingface.co/datasets/aliplayer1/polymarket-crypto-updown)) for full pipeline documentation.
|
| 118 |
+
|
| 119 |
+
## License
|
| 120 |
+
|
| 121 |
+
MIT
|