DATA_DICTIONARY.md

Data dictionary

This dataset contains two useful views of the same source data.

data/train.jsonl

Row-level anonymized crowd feedback votes.

Field	Meaning
id	Stable public row ID generated for this release
source_record_id	Original feedback record ID
record_type	Always crowd_feedback_vote
question	Geopolitical market/question title
category	Dataset category, currently geopolitics
market_id	Original market/pod ID
epoch	Epoch associated with the vote
feedback	Qualitative feedback label/comment
vote	up_vote or down_vote
up_vote	Boolean vote direction
votes	Numeric vote count from source system
voting_power	Weight attached to the feedback vote
created_at	Original creation timestamp
updated_at	Original update timestamp
deleted	Whether the source row was deleted
version	Source schema/version field
split	Dataset split

data/market_summary.jsonl

One row per geopolitical question/market, aggregated from data/train.jsonl.

Field	Meaning
id	Stable public market-summary ID
record_type	Always market_feedback_summary
question	Geopolitical market/question title
category	Dataset category
market_id	Original market/pod ID
num_feedback_votes	Number of feedback votes attached to the question
up_votes	Number of up-votes
down_votes	Number of down-votes
up_vote_share	Up-votes divided by total feedback votes
total_voting_power	Sum of voting power across feedback votes
median_voting_power	Median voting power
top_feedback_tags	Most common feedback labels/comments
first_seen_at	Earliest feedback timestamp
last_seen_at	Latest feedback timestamp
split	Dataset split

Recommended training setup

For a simple supervised setup:

• Input: question + feedback
• Label: up_vote or vote
• Sample weight: voting_power

For market-level ranking or triage:

• Input: question
• Targets/features: up_vote_share, num_feedback_votes, total_voting_power, top_feedback_tags

Privacy changes

The source CSV contained voter_id and private_subnet_id. Those fields are intentionally excluded from this public release.