File size: 3,650 Bytes
e6b8ddf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 | # Dataset File Guide (Manifold Benchmark)
This document explains what each file in `dataset/` is for, including keys and common usage.
## Common IDs
- `userId`: Manifold user ID
- `marketId`: Manifold market/contract ID
- `betId`: Unique bet event ID
- `answerId`: Candidate ID for multi-choice markets
---
## Belief
### `Belief/source/data.csv`
**Granularity:** one row per `userId * marketId`
Contains final belief aggregation for each user-market pair.
Important columns:
- `dominant_option`: top accumulated option for this user-market
- `dominant_net`: net accumulated amount on dominant option
- `dominant_share`: |dominant_net| / total_abs_net
- `candidate_options_json`, `candidate_net_json`, `candidate_bets_json`: full option-level breakdown
Use this as the main target table for Belief prediction.
### `Belief/source/option_accumulate.csv`
**Granularity:** one row per `userId * marketId * option_key`
Option-level accumulate details.
Important columns:
- `option_key`: `ANS:<answerId>` for multi-choice, `SIDE:YES/NO` for binary-like
- `accumulate_net_amount`: signed net accumulate amount for that option
- `bets_count`: number of events contributing to that option
Use this when you need detailed candidate-level signals.
---
### `Belief/splits/train.csv`, `validation.csv`, `test.csv`
**Granularity:** one row per `userId * marketId`
Query split files for Belief tasks.
Built by per-user chronological splitting (market-level timestamp ordering), then merged globally.
### `Belief/splits/wallet_ids_experiment_2000.csv`
The 2000 sampled query users used for experiment splits.
### `Belief/splits/split_summary.txt`
Summary counts for train/validation/test.
---
### `Belief/support_set/support_users.csv`
Support user list and user-level stats.
### `Belief/support_set/support_belief_final.csv`
Support users' `user*market` final belief summary (dominant/candidate aggregate level).
### `Belief/support_set/support_belief_option_accumulate.csv`
Support users' candidate-level accumulate rows.
### `Belief/support_set/support_user_bets_chrono.csv`
Support users' deduplicated bet events sorted by:
1) `userId`, 2) `createdTime`, 3) `betId`.
Useful for retrieval/profile construction.
### `Belief/support_set/support_user_bets_index.csv`
Row-range index for `support_user_bets_chrono.csv`.
Columns:
- `start_row_in_events_csv_1based_excluding_header`
- `end_row_in_events_csv_1based_excluding_header`
- `num_bets`
Use this to quickly retrieve a single user's full event history.
---
## Trade
### `Trade/splits/train.csv`, `validation.csv`, `test.csv`
**Granularity:** one row per bet event (`betId`)
Query trade split files.
For each query user, bets are sorted by `createdTime` and split by 85/10/5 chronologically, then merged.
Important columns include:
- `userId`, `createdTime`, `betId`, `marketId`
- `outcome`, `answerId`
- `amount`, `shares`
- `probBefore`, `probAfter`
- `isApi`
### `Trade/splits/split_summary.txt`
Summary counts for Trade splits.
---
### `Trade/support_set/support_trades.csv`
Support users' deduplicated trade events in chronological order per user.
### `Trade/support_set/support_trades_index.csv`
Per-user row-range index into `support_trades.csv`.
### `Trade/support_set/support_summary.txt`
Support user/bet count summary.
---
## Recommended Join Paths
- Belief query rows (`Belief/splits/*.csv`) ↔ source belief (`Belief/source/data.csv`) by `(userId, marketId)`.
- Trade query rows (`Trade/splits/*.csv`) are already event-level; join to support by `userId` if needed.
- For multi-choice text reconstruction, map `answerId` using market metadata/API snapshots.
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