A raw, sanitized transcript of a Claude Code session where the AI model predicted every match of the 2026 FIFA World Cup on the tournament's opening day. The session includes a verification of the final 48-team field via web search. The dataset was authored by 'victor' and uploaded to Hugging Face on June 11, 2026.
Use Cases
- Analyze LLM prediction logic based on the session transcript.
- Study the structure of AI-generated sports forecasts based on the described session content.
- Benchmark LLM performance on sports prediction tasks based on the described scenario.
- Examine the use of web search for fact verification in AI sessions based on the description.
Strengths
- Session is timestamped to a specific event date: June 11, 2026.
- Focuses on a specific, well-defined prediction task for a major sporting event.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- huggingface
- Collection Method
- Likely a direct export of a Claude Code session transcript.
- Time Range
- Session date: June 11, 2026.
- Freshness
- Last updated 2026-06-11 20:01:21; freshness should be verified.
- Geography
- Global (FIFA World Cup).