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# Dataset Card
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## Dataset Description
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- **Homepage:** https://bit.ly/ischool-berkeley-capstone
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- **Repository:** https://github.com/daniel-furman/Capstone
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- **Leaderboard:**
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- **Point of Contact:** daniel_furman@berkeley.edu
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##
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This is the dataset for **Polyglot or Not?: Measuring Multilingual Encyclopedic Knowledge Retrieval from Foundation Language Models**.
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##
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Given a factual association such as *The capital of France is **Paris***, we determine whether a model adequately "knows" this information with the following test:
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We also score monolingual models (like [GPT-2](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)) on English-only fact-completion ([results](https://github.com/daniel-furman/capstone#english-fact-completion-results)).
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##
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[More Information Needed]
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## Dataset Structure
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### Data Instances
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##
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##
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[More Information Needed]
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##
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###
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###
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Licensing Information
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### Citation Information
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- cs
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---
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# Dataset Card
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- **Homepage:** https://bit.ly/ischool-berkeley-capstone
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- **Repository:** https://github.com/daniel-furman/Capstone
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- **Leaderboard:**
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- **Point of Contact:** daniel_furman@berkeley.edu
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## Dataset Summary
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This is the dataset for **Polyglot or Not?: Measuring Multilingual Encyclopedic Knowledge Retrieval from Foundation Language Models**.
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## Test Description
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Given a factual association such as *The capital of France is **Paris***, we determine whether a model adequately "knows" this information with the following test:
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We also score monolingual models (like [GPT-2](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)) on English-only fact-completion ([results](https://github.com/daniel-furman/capstone#english-fact-completion-results)).
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## Languages
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The dataset covers 20 languages, which use either the Latin or Cyrillic scripts: bg, ca, cs, da, de, en, es, fr, hr, hu, it,
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nl, pl, pt, ro, ru, sl, sr, sv, uk.
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## Data Splits
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The dataset splits correspond to the 20 languages above.
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## Curation Rationale
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[More Information Needed]
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## Source Data
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### Initial Data Collection and Normalization
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[More Information Needed]
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### Who are the source language producers?
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[More Information Needed]
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### Licensing Information
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The dataset is licensed under the Apache 2.0 license and may be used with the corresponding affordances without limit.
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### Citation Information
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