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README.md

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+# Dataset Card for KAMEL: Knowledge Analysis with Multitoken Entities in Language Models
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+## Dataset Description
+- **Homepage:**
+https://github.com/JanKalo/KAMEL
+- **Repository:**
+https://github.com/JanKalo/KAMEL
+- **Paper:**
+@inproceedings{kalo2022kamel,
+  title={KAMEL: Knowledge Analysis with Multitoken Entities in Language Models},
+  author={Kalo, Jan-Christoph and Fichtel, Leandra},
+  booktitle={Automated Knowledge Base Construction},
+  year={2022}
+}
+### Dataset Summary
+This dataset provides the data for KAMEL, a probing dataset for language models that contains factual knowledge
+from Wikidata and Wikipedia.
+
+See the paper for more details.  For more information, also see:
+https://github.com/JanKalo/KAMEL
+### Languages
+en
+## Dataset Structure
+### Data Instances
+
+
+### Data Fields
+KAMEL has the following fields:
+* index: the id
+* sub_label: a label for the subject 
+* obj_uri: Wikidata uri for the object 
+* obj_labels:  multiple labels for the object
+* chosen_label: the preferred label  
+* rel_uri: Wikidata uri for the relation
+* rel_label: a label for the relation
+
+### Data Splits
+The dataset is split into a training, validation, and test dataset.
+It contains 234 Wikidata relations. 
+For each relation there exist 200 training, 100 validation,
+and 100 test instances.
+
+## Dataset Creation
+### Curation Rationale
+This dataset was gathered and created to explore what knowledge graph facts are memorized by large language models.
+### Source Data
+#### Initial Data Collection and Normalization
+See the reaserch paper and website for more detail. The dataset was
+created from Wikidata and Wikipedia.
+### Annotations
+#### Annotation process
+There is no human annotation, but only automatic linking from Wikidata facts to Wikipedia articles.
+The details about the process can be found in the paper.
+#### Who are the annotators?
+Machine Annotations
+### Personal and Sensitive Information
+Unkown, but likely information about famous people mentioned in the English Wikipedia.
+## Considerations for Using the Data
+### Social Impact of Dataset
+The goal for the work is to probe the understanding of language models.
+### Discussion of Biases
+Since the data is created from Wikipedia and Wikidata, the existing biases from these two data sources may also be reflected in KAMEL.
+## Additional Information
+### Dataset Curators
+The authors of KAMEL at Vrije Universiteit Amsterdam and Technische Universität Braunschweig.
+### Licensing Information
+The Creative Commons Attribution-Noncommercial 4.0 International License. see https://github.com/facebookresearch/LAMA/blob/master/LICENSE
+### Citation Information
+@inproceedings{kalo2022kamel,
+  title={KAMEL: Knowledge Analysis with Multitoken Entities in Language Models},
+  author={Kalo, Jan-Christoph and Fichtel, Leandra},
+  booktitle={Automated Knowledge Base Construction},
+  year={2022}
+}
+