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- # Dataset Card for Fact_Completion
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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:** [email protected]
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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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- [More Information Needed]
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- ## Dataset Structure
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- ### Data Instances
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- [More Information Needed]
 
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- ### Data Fields
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- [More Information Needed]
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- ### Data Splits
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  [More Information Needed]
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- ## Dataset Creation
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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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- ### 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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- [More Information Needed]
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  ### Citation Information
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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:** [email protected]
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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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