README.md

metadata

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.

How to use

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("----")