---
license: other
license_name: j-archive-tos
license_link: https://j-archive.com/help.php#terms
dataset_info:
- config_name: all_questions
  features:
  - name: category
    dtype: string
  - name: air_date
    dtype: string
  - name: question
    dtype: string
  - name: value
    dtype: string
  - name: answer
    dtype: string
  - name: round
    dtype: string
  - name: show_number
    dtype: string
  - name: context
    dtype: string
  - name: ee-question
    dtype: string
  - name: ee-continuation
    dtype: string
  - name: ee-category
    dtype: string
  - name: continuation
    dtype: string
  - name: id
    dtype: string
  - name: og-category
    dtype: string
  - name: mosaicml_gauntlet
    dtype: bool
  splits:
  - name: train
    num_bytes: 110464105
    num_examples: 216930
  download_size: 67801636
  dataset_size: 110464105
- config_name: mosaicml_gauntlet
  features:
  - name: category
    dtype: string
  - name: air_date
    dtype: string
  - name: question
    dtype: string
  - name: value
    dtype: string
  - name: answer
    dtype: string
  - name: round
    dtype: string
  - name: show_number
    dtype: string
  - name: context
    dtype: string
  - name: ee-question
    dtype: string
  - name: ee-continuation
    dtype: string
  - name: ee-category
    dtype: string
  - name: continuation
    dtype: string
  - name: id
    dtype: string
  - name: og-category
    dtype: string
  - name: mosaicml_gauntlet
    dtype: bool
  splits:
  - name: train
    num_bytes: 1083538
    num_examples: 2116
  download_size: 661802
  dataset_size: 1083538
configs:
- config_name: all_questions
  data_files:
  - split: train
    path: data/all_questions/train-*
- config_name: mosaicml_gauntlet
  data_files:
  - split: train
    path: data/mosaicml_gauntlet/train-*
---


# Jeopardy questions from Mosaic Gauntlet

Sourced from https://github.com/mosaicml/llm-foundry/blob/main/scripts/eval/local_data/world_knowledge/jeopardy_all.jsonl

Description: Jeopardy consists of 2,117 Jeopardy questions separated into 5 categories:
Literature, American History, World History, Word Origins, and Science. The model is expected
to give the exact correct response to the question. It was custom curated by MosaicML from a
larger Jeopardy set available on [Huggingface](https://huggingface.co/datasets/jeopardy).

## How to use

```python
from datasets import load_dataset

dataset = load_dataset("soldni/jeopardy", "mosaicml_gauntlet")
model = ...
tokenizer = ...

# Given context, try to predict the continuation
for row in dataset:
    input_ids = tokenizer(row['context'], return_tensors='pt').to(model.device)
    outputs = model.generate(input_ids, max_new_tokens=100)
    decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
    correct = row['continuation'] in decoded
    print("Gold:", row['continuation'])
    print("Pred:", decoded)
    print("Correct?", correct)
    print("----")
```