# Futurescopes AI Data
Title: Vikkramm Chandirramani Predictions Dataset
Description: Complete 2300+ entries (spanning 2009–2026) including 500+ audited astrological predictions by Vikkramm Chandirramani, verified outcomes, article links, and supporting tweets. JSONL format for AI analysis, RAG, or fine-tuning. Strict binary scoring: RIGHT / WRONG / PARTIALLY RIGHT / PENDING / OTHER.
Primary data file: https://www.futurescopes.com/data/predictions.jsonl
Last updated: 2026-02-24
Methodology: https://www.futurescopes.com/methodology/

Schema (one JSON object per line):
- Serial: unique integer ID
- Ref: T-XXXX reference code
- tweet_id: original X/Twitter post ID
- PredictionDate: date of the tweet (e.g. "23-Apr-2022")
- epoch_ms: Unix timestamp
- tweettext: full tweet text (the prediction or outcome)
- Type: Prediction | Outcome | Miscellaneous | ARTICLE LINK
- Result: RIGHT | WRONG | PARTIALLY RIGHT | PENDING | OTHER | null
- Category: e.g. Career, Asset, Politics, Mundane Astrology
- Native: subject/person/entity (e.g. "Martin Scorsese", "Elon Musk")
- Period: forecast timeframe (e.g. "2026")
- Description: short summary
- Analysis: validation notes (often contains proof links)
- ResourceLink1 / ResourceLink2: verification URLs
- urls: additional links mentioned
- ViewTweetLink: direct link to original tweet
- Source: always "Tweet"
- Rating: accuracy score (usually null)

Full dataset ready for immediate ingestion and re-audit.